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to obtain the most current and comprehensive results.


1

Model error in weather forecasting D. Orrell 1,2 , L. Smith 1,3 , J. Barkmeijer 4 , and T. Palmer 4  

E-Print Network [OSTI]

numerical weather prediction mod­ els. A simple law is derived to relate model error to likely shadowingModel error in weather forecasting D. Orrell 1,2 , L. Smith 1,3 , J. Barkmeijer 4 , and T. Palmer 4 in the model, and inac­ curate initial conditions (Bjerknes, 1911). Because weather models are thought

Smith, Leonard A

2

FORECASTING THE RESPONSE OF COASTAL WETLANDS TO DECLINING3 WATER LEVELS AND ENVIRONMENTAL DISTURBANCES IN THE GREAT4  

E-Print Network [OSTI]

i 1 2 FORECASTING THE RESPONSE OF COASTAL WETLANDS TO DECLINING3 WATER LEVELS AND ENVIRONMENTALMaster University23 (Biology) Hamilton, Ontario24 TITLE: Forecasting the response of coastal wetlands to declining plants in Lake Ontario coastal36 wetlands while taking into account other factors such as urbanization

McMaster University

3

E-Print Network 3.0 - africa conditional forecasts Sample Search...  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Search Powered by Explorit Topic List Advanced Search Sample search results for: africa conditional forecasts Page: << < 1 2 3 4 5 > >> 1 COLORADO STATE UNIVERSITY FORECAST...

4

E-Print Network 3.0 - air pollution forecast Sample Search Results  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

forecast Search Powered by Explorit Topic List Advanced Search Sample search results for: air pollution forecast Page: << < 1 2 3 4 5 > >> 1 DISCOVER-AQ Outlook for Wednesay, July...

5

COLORADO STATE UNIVERSITY FORECAST OF ATLANTIC HURRICANE ACTIVITY FROM AUGUST 3 AUGUST 16, 2012  

E-Print Network [OSTI]

there is significant uncertainty in its future intensity, the current forecast is for a slowly strengthening TC which, 3) forecast output from global models, 4) the current and projected state of the Madden with these two-week forecasts is the Accumulated Cyclone Energy (ACE) index, which is defined to be all

Gray, William

6

Annual Energy Outlook Forecast Evaluation - Tables  

Gasoline and Diesel Fuel Update (EIA)

Annual Energy Outlook Forecast Evaluation Table 2. Total Energy Consumption, Actual vs. Forecasts Table 3. Total Petroleum Consumption, Actual vs. Forecasts Table 4. Total Natural Gas Consumption, Actual vs. Forecasts Table 5. Total Coal Consumption, Actual vs. Forecasts Table 6. Total Electricity Sales, Actual vs. Forecasts Table 7. Crude Oil Production, Actual vs. Forecasts Table 8. Natural Gas Production, Actual vs. Forecasts Table 9. Coal Production, Actual vs. Forecasts Table 10. Net Petroleum Imports, Actual vs. Forecasts Table 11. Net Natural Gas Imports, Actual vs. Forecasts Table 12. Net Coal Exports, Actual vs. Forecasts Table 13. World Oil Prices, Actual vs. Forecasts Table 14. Natural Gas Wellhead Prices, Actual vs. Forecasts Table 15. Coal Prices to Electric Utilities, Actual vs. Forecasts

7

Radar-Derived Forecasts of Cloud-to-Ground Lightning Over Houston, Texas  

E-Print Network [OSTI]

Lightning Forecasts..........................................................................................45 2.7 First Flash Forecasts and Lead Times.....................................................................47 vii... Cell Number ? 25 August 2000..............................................68 3.4 First Flash Forecast Time........................................................................................70 3.5 Lightning Forecasting Algorithm (LFA) Development...

Mosier, Richard Matthew

2011-02-22T23:59:59.000Z

8

Energy Demand Forecasting  

Science Journals Connector (OSTI)

This chapter presents alternative approaches used in forecasting energy demand and discusses their pros and cons. It... Chaps. 3 and 4 ...

S. C. Bhattacharyya

2011-01-01T23:59:59.000Z

9

3TIER Environmental Forecast Group Inc 3TIER | Open Energy Information  

Open Energy Info (EERE)

TIER Environmental Forecast Group Inc 3TIER TIER Environmental Forecast Group Inc 3TIER Jump to: navigation, search Name 3TIER Environmental Forecast Group Inc (3TIER) Place Seattle, Washington Zip 98121 Sector Renewable Energy Product Seattle-based, renewable energy assessment and forecasting company. Coordinates 47.60356°, -122.329439° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":47.60356,"lon":-122.329439,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

10

1 Ozone pollution forecasting 3 Herve Cardot, Christophe Crambes and Pascal Sarda.  

E-Print Network [OSTI]

Contents 1 Ozone pollution forecasting 3 Herv´e Cardot, Christophe Crambes and Pascal Sarda. 1;1 Ozone pollution forecasting using conditional mean and conditional quantiles with functional covariates Herv´e Cardot, Christophe Crambes and Pascal Sarda. 1.1 Introduction Prediction of Ozone pollution

Crambes, Christophe

11

A Penalized 4-D Var data assimilation method for reducing forecast M. J. Hossen  

E-Print Network [OSTI]

state and assimilated indirect observational data such as satellite radiance without trans- forming themA Penalized 4-D Var data assimilation method for reducing forecast error M. J. Hossen Department dimensional variational (4D-Var) Data Assimilation (DA) method is used to find the optimal initial conditions

Navon, Michael

12

Annual Energy Outlook Forecast Evaluation  

Gasoline and Diesel Fuel Update (EIA)

Analysis Papers > Annual Energy Outlook Forecast Evaluation Analysis Papers > Annual Energy Outlook Forecast Evaluation Release Date: February 2005 Next Release Date: February 2006 Printer-friendly version Annual Energy Outlook Forecast Evaluation* Table 1.Comparison of Absolute Percent Errors for Present and Current AEO Forecast Evaluations Printer Friendly Version Average Absolute Percent Error Variable AEO82 to AEO99 AEO82 to AEO2000 AEO82 to AEO2001 AEO82 to AEO2002 AEO82 to AEO2003 AEO82 to AEO2004 Consumption Total Energy Consumption 1.9 2.0 2.1 2.1 2.1 2.1 Total Petroleum Consumption 2.9 3.0 3.1 3.1 3.0 2.9 Total Natural Gas Consumption 7.3 7.1 7.1 6.7 6.4 6.5 Total Coal Consumption 3.1 3.3 3.5 3.6 3.7 3.8 Total Electricity Sales 1.9 2.0 2.3 2.3 2.3 2.4 Production Crude Oil Production 4.5 4.5 4.5 4.5 4.6 4.7

13

Solar forecasting review  

E-Print Network [OSTI]

2.1.2 European Solar Radiation Atlas (ESRA)2.4 Evaluation of Solar Forecasting . . . . . . . . .2.4.1 Solar Variability . . . . . . . . . . . . .

Inman, Richard Headen

2012-01-01T23:59:59.000Z

14

RACORO Forecasting  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Daniel Hartsock CIMMS, University of Oklahoma ARM AAF Wiki page Weather Briefings Observed Weather Cloud forecasting models BUFKIT forecast soundings + guidance...

15

Technology data characterizing refrigeration in commercial buildings: Application to end-use forecasting with COMMEND 4.0  

SciTech Connect (OSTI)

In the United States, energy consumption is increasing most rapidly in the commercial sector. Consequently, the commercial sector is becoming an increasingly important target for state and federal energy policies and also for utility-sponsored demand side management (DSM) programs. The rapid growth in commercial-sector energy consumption also makes it important for analysts working on energy policy and DSM issues to have access to energy end-use forecasting models that include more detailed representations of energy-using technologies in the commercial sector. These new forecasting models disaggregate energy consumption not only by fuel type, end use, and building type, but also by specific technology. The disaggregation of the refrigeration end use in terms of specific technologies, however, is complicated by several factors. First, the number of configurations of refrigeration cases and systems is quite large. Also, energy use is a complex function of the refrigeration-case properties and the refrigeration-system properties. The Electric Power Research Institute`s (EPRI`s) Commercial End-Use Planning System (COMMEND 4.0) and the associated data development presented in this report attempt to address the above complications and create a consistent forecasting framework. Expanding end-use forecasting models so that they address individual technology options requires characterization of the present floorstock in terms of service requirements, energy technologies used, and cost-efficiency attributes of the energy technologies that consumers may choose for new buildings and retrofits. This report describes the process by which we collected refrigeration technology data. The data were generated for COMMEND 4.0 but are also generally applicable to other end-use forecasting frameworks for the commercial sector.

Sezgen, O.; Koomey, J.G.

1995-12-01T23:59:59.000Z

16

U.S. diesel fuel price forecast to be 1 penny lower this summer at $3.94 a gallon  

U.S. Energy Information Administration (EIA) Indexed Site

diesel fuel price forecast to be 1 penny lower this summer diesel fuel price forecast to be 1 penny lower this summer at $3.94 a gallon The retail price of diesel fuel is expected to average $3.94 a gallon during the summer driving season that which runs from April through September. That's close to last summer's pump price of $3.95, according to the latest monthly energy outlook from the U.S. Energy Information Administration. Demand for distillate fuel, which includes diesel fuel, is expected to be up less than 1 percent from last summer. Daily production of distillate fuel at U.S. refineries is forecast to be 70,000 barrels higher this summer. With domestic distillate output exceeding demand, U.S. net exports of distillate fuel are expected to average 830,000 barrels per day this summer. That's down 12 percent from last summer's

17

Forecasting wireless communication technologies  

Science Journals Connector (OSTI)

The purpose of the paper is to present a formal comparison of a variety of multiple regression models in technology forecasting for wireless communication. We compare results obtained from multiple regression models to determine whether they provide a superior fitting and forecasting performance. Both techniques predict the year of wireless communication technology introduction from the first (1G) to fourth (4G) generations. This paper intends to identify the key parameters impacting the growth of wireless communications. The comparison of technology forecasting approaches benefits future researchers and practitioners when developing a prediction of future wireless communication technologies. The items of focus will be to understand the relationship between variable selection and model fit. Because the forecasting error was successfully reduced from previous approaches, the quadratic regression methodology is applied to the forecasting of future technology commercialisation. In this study, the data will show that the quadratic regression forecasting technique provides a better fit to the curve.

Sabrina Patino; Jisun Kim; Tugrul U. Daim

2010-01-01T23:59:59.000Z

18

E-Print Network 3.0 - analytical energy forecasting Sample Search...  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

of PV energy production using... Short term forecasting of solar radiation based on satellite data Elke Lorenz, Annette Hammer... , Detlev Heinemann Energy and Semiconductor...

19

Technology data characterizing space conditioning in commercial buildings: Application to end-use forecasting with COMMEND 4.0  

SciTech Connect (OSTI)

In the US, energy consumption is increasing most rapidly in the commercial sector. Consequently, the commercial sector is becoming an increasingly important target for state and federal energy policies and also for utility-sponsored demand side management (DSM) programs. The rapid growth in commercial-sector energy consumption also makes it important for analysts working on energy policy and DSM issues to have access to energy end-use forecasting models that include more detailed representations of energy-using technologies in the commercial sector. These new forecasting models disaggregate energy consumption not only by fuel type, end use, and building type, but also by specific technology. The disaggregation of space conditioning end uses in terms of specific technologies is complicated by several factors. First, the number of configurations of heating, ventilating, and air conditioning (HVAC) systems and heating and cooling plants is very large. Second, the properties of the building envelope are an integral part of a building`s HVAC energy consumption characteristics. Third, the characteristics of commercial buildings vary greatly by building type. The Electric Power Research Institute`s (EPRI`s) Commercial End-Use Planning System (COMMEND 4.0) and the associated data development presented in this report attempt to address the above complications and create a consistent forecasting framework. This report describes the process by which the authors collected space-conditioning technology data and then mapped it into the COMMEND 4.0 input format. The data are also generally applicable to other end-use forecasting frameworks for the commercial sector.

Sezgen, O.; Franconi, E.M.; Koomey, J.G.; Greenberg, S.E.; Afzal, A.; Shown, L.

1995-12-01T23:59:59.000Z

20

Incorporation of 3D Shortwave Radiative Effects within the Weather Research and Forecasting Model  

SciTech Connect (OSTI)

A principal goal of the Atmospheric Radiation Measurement (ARM) Program is to understand the 3D cloud-radiation problem from scales ranging from the local to the size of global climate model (GCM) grid squares. For climate models using typical cloud overlap schemes, 3D radiative effects are minimal for all but the most complicated cloud fields. However, with the introduction of ''superparameterization'' methods, where sub-grid cloud processes are accounted for by embedding high resolution 2D cloud system resolving models within a GCM grid cell, the impact of 3D radiative effects on the local scale becomes increasingly relevant (Randall et al. 2003). In a recent study, we examined this issue by comparing the heating rates produced from a 3D and 1D shortwave radiative transfer model for a variety of radar derived cloud fields (O'Hirok and Gautier 2005). As demonstrated in Figure 1, the heating rate differences for a large convective field can be significant where 3D effects produce areas o f intense local heating. This finding, however, does not address the more important question of whether 3D radiative effects can alter the dynamics and structure of a cloud field. To investigate that issue we have incorporated a 3D radiative transfer algorithm into the Weather Research and Forecasting (WRF) model. Here, we present very preliminary findings of a comparison between cloud fields generated from a high resolution non-hydrostatic mesoscale numerical weather model using 1D and 3D radiative transfer codes.

O'Hirok, W.; Ricchiazzi, P.; Gautier, C.

2005-03-18T23:59:59.000Z

Note: This page contains sample records for the topic "forecast 4 3" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


21

Expert Panel: Forecast Future Demand for Medical Isotopes  

Broader source: Energy.gov (indexed) [DOE]

Expert Panel: Expert Panel: Forecast Future Demand for Medical Isotopes March 1999 Expert Panel: Forecast Future Demand for Medical Isotopes September 25-26, 1998 Arlington, Virginia The Expert Panel ............................................................................................. Page 1 Charge To The Expert Panel........................................................................... Page 2 Executive Summary......................................................................................... Page 3 Introduction ...................................................................................................... Page 4 Rationale.......................................................................................................... Page 6 Economic Analysis...........................................................................................

22

BEAMLINE 4-3  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

4-3 4-3 CURRENT STATUS: Open SUPPORTED TECHNIQUES: X-ray Absorption Spectroscopy MAIN SCIENTIFIC DISCIPLINES: Environmental / Materials / Biology % TIME GENERAL USE: 100% SCHEDULING: Proposal Submittal and Scheduling Procedures Current SPEAR and Beam Line Schedules SOURCE: 20-pole, 2.0-Tesla wiggler, 0.75 mrad, side station BEAM LINE SPECIFICATIONS: energy range resolution DE/E spot size flux angular acceptance unfocused 2400-14000 eV 10-4 3 x 16 mm 0.75 mrad OPTICS: M0 mirror: Flat, bent vertically collimating, 1 m, Si, Rh-coated, cutoff 4-14 keV, LN2-cooled monochromator MONOCHROMATOR: Si(111) f=0° or Si(111) f=90° double-crystal, non-fixed exit slit Monochromator Crystal Glitch Library Crystal changes need to be scheduled and coordinated in advance with BL

23

Predictability of European air quality: Assessment of 3 years of operational forecasts and analyses by the PREV'AIR system  

E-Print Network [OSTI]

- ments are still needed to manage and control the impacts of air pollution on health. [3] Facing, is proved to improve ozone forecasts, especially when photochemical pollution episodes occur. The PREV'AIR and laws regarding the pollutants of utmost importance in relation to human health, air pollution is still

Menut, Laurent

24

Annual Energy Outlook with Projections to 2025 - Forecast Comparisons  

Gasoline and Diesel Fuel Update (EIA)

Forecast Comparisons Forecast Comparisons Annual Energy Outlook 2005 Forecast Comparisons Table 32. Forecasts of annual average economic growth, 2003-2025 Printer Friendly Version Average annual percentage growth Forecast 2003-2009 2003-2014 2003-2025 AEO2004 3.5 3.2 3.0 AEO2005 Reference 3.4 3.3 3.1 Low growth 2.9 2.8 2.5 High growth 4.1 3.9 3.6 GII 3.4 3.2 3.1 OMB 3.6 NA NA CBO 3.5 3.1 NA OEF 3.5 3.5 NA Only one other organization—Global Insight, Incorporated (GII)—produces a comprehensive energy projection with a time horizon similar to that of AEO2005. Other organizations address one or more aspects of the energy markets. The most recent projection from GII, as well as other forecasts that concentrate on economic growth, international oil prices, energy

25

Consensus Coal Production Forecast for  

E-Print Network [OSTI]

Rate Forecasts 19 5. EIA Forecast: Regional Coal Production 22 6. Wood Mackenzie Forecast: W.V. Steam to data currently published by the Energy Information Administration (EIA), coal production in the state in this report calls for state production to decline by 11.3 percent in 2009 to 140.2 million tons. During

Mohaghegh, Shahab

26

Preparation of 3,3'-diamino-4,4'-azofurazan  

DOE Patents [OSTI]

A method of preparing 3,3'-diamino-4,4'-azofurazan is provided together with a composition of matter including a mixture of 3,3'-diamino-4,4'-azofurazan and 1,3,5-triamino-2,4,6-trinitrobenzene.

Hiskey, Michael A. (Los Alamos, NM); Chavez, David E. (Ranchos de Taos, NM); Bishop, Robert L. (Santa Fe, NM); Kramer, John F. (Santa Fe, NM); Kinkead, Scott A. (Los Alamos, NM)

2003-04-22T23:59:59.000Z

27

Annual Energy Outlook Forecast Evaluation - Tables  

Gasoline and Diesel Fuel Update (EIA)

Analysis Papers > Annual Energy Outlook Forecast Evaluation>Tables Analysis Papers > Annual Energy Outlook Forecast Evaluation>Tables Annual Energy Outlook Forecast Evaluation Download Adobe Acrobat Reader Printer friendly version on our site are provided in Adobe Acrobat Spreadsheets are provided in Excel Actual vs. Forecasts Formats Table 2. Total Energy Consumption Excel, PDF Table 3. Total Petroleum Consumption Excel, PDF Table 4. Total Natural Gas Consumption Excel, PDF Table 5. Total Coal Consumption Excel, PDF Table 6. Total Electricity Sales Excel, PDF Table 7. Crude Oil Production Excel, PDF Table 8. Natural Gas Production Excel, PDF Table 9. Coal Production Excel, PDF Table 10. Net Petroleum Imports Excel, PDF Table 11. Net Natural Gas Imports Excel, PDF Table 12. World Oil Prices Excel, PDF Table 13. Natural Gas Wellhead Prices

28

Annual Energy Outlook Forecast Evaluation - Tables  

Gasoline and Diesel Fuel Update (EIA)

Modeling and Analysis Papers> Annual Energy Outlook Forecast Evaluation>Tables Modeling and Analysis Papers> Annual Energy Outlook Forecast Evaluation>Tables Annual Energy Outlook Forecast Evaluation Actual vs. Forecasts Available formats Excel (.xls) for printable spreadsheet data (Microsoft Excel required) MS Excel Viewer PDF (Acrobat Reader required Download Acrobat Reader ) Adobe Acrobat Reader Logo Table 2. Total Energy Consumption Excel, PDF Table 3. Total Petroleum Consumption Excel, PDF Table 4. Total Natural Gas Consumption Excel, PDF Table 5. Total Coal Consumption Excel, PDF Table 6. Total Electricity Sales Excel, PDF Table 7. Crude Oil Production Excel, PDF Table 8. Natural Gas Production Excel, PDF Table 9. Coal Production Excel, PDF Table 10. Net Petroleum Imports Excel, PDF Table 11. Net Natural Gas Imports Excel, PDF

29

FINAL DEMAND FORECAST FORMS AND INSTRUCTIONS FOR THE 2007  

E-Print Network [OSTI]

......................................................................... 11 3. Demand Side Management (DSM) Program Impacts................................... 13 4. Demand Sylvia Bender Manager DEMAND ANALYSIS OFFICE Scott W. Matthews Chief Deputy Director B.B. Blevins Forecast Methods and Models ....................................................... 14 5. Demand-Side

30

Sixth Northwest Conservation and Electric Power Plan Chapter 3: Electricity Demand Forecast  

E-Print Network [OSTI]

at a relatively slow pace, custom data centers (Google, etc.) are a relatively new end-use that has been seeing................................................................................................................... 7 Alternative Load Forecast Concepts been influenced by expected higher electricity prices that reflect a rapid rise in fuel prices

31

Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4  

U.S. Energy Information Administration (EIA) Indexed Site

Current Forecast: December 10, 2013; Previous Forecast: November 13, 2013 Current Forecast: December 10, 2013; Previous Forecast: November 13, 2013 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 2011 2012 2013 2014 2011-2012 2012-2013 2013-2014 U.S. Energy Supply U.S. Crude Oil Production (million barrels per day) Current 6.22 6.29 6.42 7.02 7.11 7.29 7.61 7.97 8.26 8.45 8.57 8.86 5.65 6.49 7.50 8.54 14.8% 15.6% 13.8% Previous 6.22 6.30 6.43 7.04 7.13 7.30 7.60 7.91 8.22 8.40 8.52 8.80 5.65 6.50 7.49 8.49 15.0% 15.2% 13.3% Percent Change 0.0% -0.1% -0.2% -0.2% -0.3% -0.1% 0.1% 0.7% 0.5% 0.5% 0.6% 0.6% 0.0% -0.1% 0.1% 0.6% U.S. Dry Natural Gas Production (billion cubic feet per day) Current 65.40 65.49 65.76 66.34 65.78 66.50 67.11 67.88 67.99 67.74 67.37 67.70 62.74 65.75 66.82 67.70 4.8% 1.6% 1.3% Previous 65.40 65.49 65.76 66.34 65.78 66.50 67.11 67.30 67.47 67.41 67.04 67.37 62.74 65.75 66.68 67.32

32

Annual Energy Outlook Forecast Evaluation - Table 1. Forecast Evaluations:  

Gasoline and Diesel Fuel Update (EIA)

Average Absolute Percent Errors from AEO Forecast Evaluations: Average Absolute Percent Errors from AEO Forecast Evaluations: 1996 to 2000 Average Absolute Percent Error Average Absolute Percent Error Average Absolute Percent Error Average Absolute Percent Error Average Absolute Percent Error Variable 1996 Evaluation: AEO82 to AEO93 1997 Evaluation: AEO82 to AEO97 1998 Evaluation: AEO82 to AEO98 1999 Evaluation: AEO82 to AEO99 2000 Evaluation: AEO82 to AEO2000 Consumption Total Energy Consumption 1.8 1.6 1.7 1.7 1.8 Total Petroleum Consumption 3.2 2.8 2.9 2.8 2.9 Total Natural Gas Consumption 6.0 5.8 5.7 5.6 5.6 Total Coal Consumption 2.9 2.7 3.0 3.2 3.3 Total Electricity Sales 1.8 1.6 1.7 1.8 2.0 Production Crude Oil Production 5.1 4.2 4.3 4.5 4.5

33

12-32021E2_Forecast  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

FORECAST OF VACANCIES FORECAST OF VACANCIES Until end of 2014 (Issue No. 20) Page 2 OVERVIEW OF BASIC REQUIREMENTS FOR PROFESSIONAL VACANCIES IN THE IAEA Education, Experience and Skills: Professional staff at the P4-P5 levels: * Advanced university degree (or equivalent postgraduate degree); * 7 or 10 years, respectively, of experience in a field of relevance to the post; * Resource management experience; * Strong analytical skills; * Computer skills: standard Microsoft Office software; * Languages: Fluency in English. Working knowledge of other official languages (Arabic, Chinese, French, Russian, Spanish) advantageous; * Ability to work effectively in multidisciplinary and multicultural teams; * Ability to communicate effectively. Professional staff at the P1-P3 levels:

34

tablehc4.3.xls  

U.S. Energy Information Administration (EIA) Indexed Site

33.0 33.0 8.0 3.4 5.9 14.4 1.2 Household Size 1 Person......................................................... 30.0 11.4 1.6 1.0 1.9 6.6 0.3 2 Persons........................................................ 34.8 8.0 1.9 0.8 1.5 3.5 0.3 3 Persons........................................................ 18.4 5.6 1.5 0.7 1.2 1.9 0.2 4 Persons........................................................ 15.9 4.3 1.3 0.6 0.7 1.6 Q 5 Persons........................................................ 7.9 2.0 0.9 0.2 0.3 0.4 Q 6 or More Persons........................................... 4.1 1.7 0.8 Q 0.3 0.4 Q 2005 Annual Household Income Category Less than $9,999............................................. 9.9 5.2 0.6 0.7 1.1 2.7 Q $10,000 to $14,999......................................... 8.5 4.6 0.8 0.3 0.9 2.4 Q $15,000 to $19,999.........................................

35

Annual Energy Outlook Forecast Evaluation - Tables  

Gasoline and Diesel Fuel Update (EIA)

Annual Energy Outlook Forecast Evaluation Annual Energy Outlook Forecast Evaluation Actual vs. Forecasts Available formats Excel (.xls) for printable spreadsheet data (Microsoft Excel required) PDF (Acrobat Reader required) Table 2. Total Energy Consumption HTML, Excel, PDF Table 3. Total Petroleum Consumption HTML, Excel, PDF Table 4. Total Natural Gas Consumption HTML, Excel, PDF Table 5. Total Coal Consumption HTML, Excel, PDF Table 6. Total Electricity Sales HTML, Excel, PDF Table 7. Crude Oil Production HTML, Excel, PDF Table 8. Natural Gas Production HTML, Excel, PDF Table 9. Coal Production HTML, Excel, PDF Table 10. Net Petroleum Imports HTML, Excel, PDF Table 11. Net Natural Gas Imports HTML, Excel, PDF Table 12. Net Coal Exports HTML, Excel, PDF Table 13. World Oil Prices HTML, Excel, PDF

36

Annual Energy Outlook Forecast Evaluation - Tables  

Gasoline and Diesel Fuel Update (EIA)

Table 1. Comparison of Absolute Percent Errors for Present and Current AEO Forecast Evaluations Table 1. Comparison of Absolute Percent Errors for Present and Current AEO Forecast Evaluations Average Absolute Percent Error Variable AEO82 to AEO98 AEO82 to AEO99 AEO82 to AEO2000 AEO82 to AEO2001 AEO82 to AEO2002 AEO82 to AEO2003 Consumption Total Energy Consumption 1.7 1.7 1.8 1.9 1.9 2.1 Total Petroleum Consumption 2.9 2.8 2.9 3.0 2.9 2.9 Total Natural Gas Consumption 5.7 5.6 5.6 5.5 5.5 6.5 Total Coal Consumption 3.0 3.2 3.3 3.5 3.6 3.7 Total Electricity Sales 1.7 1.8 1.9 2.4 2.5 2.4 Production Crude Oil Production 4.3 4.5 4.5 4.5 4.5 4.7 Natural Gas Production 4.8 4.7 4.6 4.6 4.4 4.4 Coal Production 3.6 3.6 3.5 3.7 3.6 3.8 Imports and Exports Net Petroleum Imports 9.5 8.8 8.4 7.9 7.4 7.5 Net Natural Gas Imports 16.7 16.0 15.9 15.8 15.8 15.4

37

Consensus Coal Production And Price Forecast For  

E-Print Network [OSTI]

Consensus Coal Production And Price Forecast For West Virginia: 2011 Update Prepared for the West December 2011 © Copyright 2011 WVU Research Corporation #12;#12;W.Va. Consensus Coal Forecast Update 2011 i Table of Contents Executive Summary 1 Recent Developments 3 Consensus Coal Production And Price Forecast

Mohaghegh, Shahab

38

Forecast Prices  

Gasoline and Diesel Fuel Update (EIA)

Notes: Notes: Prices have already recovered from the spike, but are expected to remain elevated over year-ago levels because of the higher crude oil prices. There is a lot of uncertainty in the market as to where crude oil prices will be next winter, but our current forecast has them declining about $2.50 per barrel (6 cents per gallon) from today's levels by next October. U.S. average residential heating oil prices peaked at almost $1.50 as a result of the problems in the Northeast this past winter. The current forecast has them peaking at $1.08 next winter, but we will be revisiting the outlook in more detail next fall and presenting our findings at the annual Winter Fuels Conference. Similarly, diesel prices are also expected to fall. The current outlook projects retail diesel prices dropping about 14 cents per gallon

39

The Wind Forecast Improvement Project (WFIP): A Public/Private Partnership for Improving Short Term Wind Energy Forecasts and Quantifying the Benefits of Utility Operations the Southern Study Area  

SciTech Connect (OSTI)

This Final Report presents a comprehensive description, findings, and conclusions for the Wind Forecast Improvement Project (WFIP)--Southern Study Area (SSA) work led by AWS Truepower (AWST). This multi-year effort, sponsored by the Department of Energy (DOE) and National Oceanographic and Atmospheric Administration (NOAA), focused on improving short-term (15-minute 6 hour) wind power production forecasts through the deployment of an enhanced observation network of surface and remote sensing instrumentation and the use of a state-of-the-art forecast modeling system. Key findings from the SSA modeling and forecast effort include: 1. The AWST WFIP modeling system produced an overall 10 20% improvement in wind power production forecasts over the existing Baseline system, especially during the first three forecast hours; 2. Improvements in ramp forecast skill, particularly for larger up and down ramps; 3. The AWST WFIP data denial experiments showed mixed results in the forecasts incorporating the experimental network instrumentation; however, ramp forecasts showed significant benefit from the additional observations, indicating that the enhanced observations were key to the model systems ability to capture phenomena responsible for producing large short-term excursions in power production; 4. The OU CAPS ARPS simulations showed that the additional WFIP instrument data had a small impact on their 3-km forecasts that lasted for the first 5-6 hours, and increasing the vertical model resolution in the boundary layer had a greater impact, also in the first 5 hours; and 5. The TTU simulations were inconclusive as to which assimilation scheme (3DVAR versus EnKF) provided better forecasts, and the additional observations resulted in some improvement to the forecasts in the first 1 3 hours.

Freedman, Jeffrey M.; Manobianco, John; Schroeder, John; Ancell, Brian; Brewster, Keith; Basu, Sukanta; Banunarayanan, Venkat; Hodge, Bri-Mathias; Flores, Isabel

2014-04-30T23:59:59.000Z

40

Forecast Energy | Open Energy Information  

Open Energy Info (EERE)

Forecast Energy Forecast Energy Jump to: navigation, search Name Forecast Energy Address 2320 Marinship Way, Suite 300 Place Sausalito, California Zip 94965 Sector Services Product Intelligent Monitoring and Forecasting Services Year founded 2010 Number of employees 11-50 Company Type For profit Website http://www.forecastenergy.net Coordinates 37.865647°, -122.496315° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":37.865647,"lon":-122.496315,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

Note: This page contains sample records for the topic "forecast 4 3" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


41

Beamline 1.4.3  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

1.4.3 Print 1.4.3 Print FTIR spectromicroscopy Scientific disciplines: Biology, correlated electron systems, environmental science, geology, chemistry, polymers, soft materials GENERAL BEAMLINE INFORMATION Operational Yes Proposal cycle Proposals for General Sciences Beamlines (6-month cycle) Source characteristics Bend magnet Energy range 0.05-1.2 eV Frequency range 650 - 10,000 cm-1 Interferometer resolution Up to 0.125 cm-1 Endstations Nicolet Magna 760 FTIR, Nic-Plan IR Microscope (N2 purged) Characteristics Motorized sample stage, 0.1-micron resolution, reflection, transmission, and grazing-incidence reflection modes Spatial resolution Diffraction-limited (~wavelength); x-y stage with 0.1 micron accuracy Detectors MCT-A (mercury cadmium telluride) Spot size at sample

42

Beamline 1.4.3  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

1.4.3 Print 1.4.3 Print FTIR spectromicroscopy Scientific disciplines: Biology, correlated electron systems, environmental science, geology, chemistry, polymers, soft materials GENERAL BEAMLINE INFORMATION Operational Yes Proposal cycle Proposals for General Sciences Beamlines (6-month cycle) Source characteristics Bend magnet Energy range 0.05-1.2 eV Frequency range 650 - 10,000 cm-1 Interferometer resolution Up to 0.125 cm-1 Endstations Nicolet Magna 760 FTIR, Nic-Plan IR Microscope (N2 purged) Characteristics Motorized sample stage, 0.1-micron resolution, reflection, transmission, and grazing-incidence reflection modes Spatial resolution Diffraction-limited (~wavelength); x-y stage with 0.1 micron accuracy Detectors MCT-A (mercury cadmium telluride) Spot size at sample

43

Beamline 1.4.3  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

1.4.3 Print 1.4.3 Print FTIR spectromicroscopy Scientific disciplines: Biology, correlated electron systems, environmental science, geology, chemistry, polymers, soft materials GENERAL BEAMLINE INFORMATION Operational Yes Proposal cycle Proposals for General Sciences Beamlines (6-month cycle) Source characteristics Bend magnet Energy range 0.05-1.2 eV Frequency range 650 - 10,000 cm-1 Interferometer resolution Up to 0.125 cm-1 Endstations Nicolet Magna 760 FTIR, Nic-Plan IR Microscope (N2 purged) Characteristics Motorized sample stage, 0.1-micron resolution, reflection, transmission, and grazing-incidence reflection modes Spatial resolution Diffraction-limited (~wavelength); x-y stage with 0.1 micron accuracy Detectors MCT-A (mercury cadmium telluride) Spot size at sample

44

Beamline 1.4.3  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Beamline 1.4.3 Print Beamline 1.4.3 Print FTIR spectromicroscopy Scientific disciplines: Biology, correlated electron systems, environmental science, geology, chemistry, polymers, soft materials GENERAL BEAMLINE INFORMATION Operational Yes Proposal cycle Proposals for General Sciences Beamlines (6-month cycle) Source characteristics Bend magnet Energy range 0.05-1.2 eV Frequency range 650 - 10,000 cm-1 Interferometer resolution Up to 0.125 cm-1 Endstations Nicolet Magna 760 FTIR, Nic-Plan IR Microscope (N2 purged) Characteristics Motorized sample stage, 0.1-micron resolution, reflection, transmission, and grazing-incidence reflection modes Spatial resolution Diffraction-limited (~wavelength); x-y stage with 0.1 micron accuracy Detectors MCT-A (mercury cadmium telluride) Spot size at sample

45

Beamline 1.4.3  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Beamline 1.4.3 Print Beamline 1.4.3 Print FTIR spectromicroscopy Scientific disciplines: Biology, correlated electron systems, environmental science, geology, chemistry, polymers, soft materials GENERAL BEAMLINE INFORMATION Operational Yes Proposal cycle Proposals for General Sciences Beamlines (6-month cycle) Source characteristics Bend magnet Energy range 0.05-1.2 eV Frequency range 650 - 10,000 cm-1 Interferometer resolution Up to 0.125 cm-1 Endstations Nicolet Magna 760 FTIR, Nic-Plan IR Microscope (N2 purged) Characteristics Motorized sample stage, 0.1-micron resolution, reflection, transmission, and grazing-incidence reflection modes Spatial resolution Diffraction-limited (~wavelength); x-y stage with 0.1 micron accuracy Detectors MCT-A (mercury cadmium telluride) Spot size at sample

46

Beamline 1.4.3  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Beamline 1.4.3 Print Beamline 1.4.3 Print FTIR spectromicroscopy Scientific disciplines: Biology, correlated electron systems, environmental science, geology, chemistry, polymers, soft materials GENERAL BEAMLINE INFORMATION Operational Yes Proposal cycle Proposals for General Sciences Beamlines (6-month cycle) Source characteristics Bend magnet Energy range 0.05-1.2 eV Frequency range 650 - 10,000 cm-1 Interferometer resolution Up to 0.125 cm-1 Endstations Nicolet Magna 760 FTIR, Nic-Plan IR Microscope (N2 purged) Characteristics Motorized sample stage, 0.1-micron resolution, reflection, transmission, and grazing-incidence reflection modes Spatial resolution Diffraction-limited (~wavelength); x-y stage with 0.1 micron accuracy Detectors MCT-A (mercury cadmium telluride) Spot size at sample

47

Beamline 1.4.3  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

1.4.3 Print 1.4.3 Print FTIR spectromicroscopy Scientific disciplines: Biology, correlated electron systems, environmental science, geology, chemistry, polymers, soft materials GENERAL BEAMLINE INFORMATION Operational Yes Proposal cycle Proposals for General Sciences Beamlines (6-month cycle) Source characteristics Bend magnet Energy range 0.05-1.2 eV Frequency range 650 - 10,000 cm-1 Interferometer resolution Up to 0.125 cm-1 Endstations Nicolet Magna 760 FTIR, Nic-Plan IR Microscope (N2 purged) Characteristics Motorized sample stage, 0.1-micron resolution, reflection, transmission, and grazing-incidence reflection modes Spatial resolution Diffraction-limited (~wavelength); x-y stage with 0.1 micron accuracy Detectors MCT-A (mercury cadmium telluride) Spot size at sample

48

Use of 3,3'-diamino-4,4'-azoxyfurazan and 3,3'-diamino-4,4'-azofurazan as insensitive high explosive materials  

DOE Patents [OSTI]

A method of preparing 3,3'-diamino-4,4'-azofurazan is provided together with a composition of matter including a mixture of 3,3'-diamino-4,4'-azofurazan and 1,3,5-triamino-2,4,6-trinitrobenzene.

Hiskey, Michael A. (Los Alamos, NM); Chavez, David E. (Ranchos de Taos, NM); Bishop, Robert L. (Santa Fe, NM); Kramer, John F. (Santa Fe, NM); Kinkead, Scott A. (Los Alamos, NM)

2002-01-01T23:59:59.000Z

49

Does Money Matter in Inflation Forecasting? JM Binner 1  

E-Print Network [OSTI]

1 Does Money Matter in Inflation Forecasting? JM Binner 1 P Tino 2 J Tepper 3 R Anderson4 B Jones 5 range of different definitions of money, including different methods of aggregation and different that there exists a long-run relationship between the growth rate of the money supply and the growth rate of prices

Tino, Peter

50

FORECAST VERIFICATION OF EXTREMES: USE OF EXTREME VALUE THEORY  

E-Print Network [OSTI]

1 FORECAST VERIFICATION OF EXTREMES: USE OF EXTREME VALUE THEORY Rick Katz Institute for Study ON EXTREMES · Emil Gumbel (1891 ­ 1966) -- Pioneer in application of statistics of extremes (Germany, France) Conventional Methods (3) Extreme Value Theory (EVT) (4) Application of EVT to Verification (5) Frost

Katz, Richard

51

3D N = 4 Gauge Theory Compactication  

E-Print Network [OSTI]

Outline 3D N = 4 Gauge Theory Compactication Twistors 3D N = 4 Supersymmetric Gauge Theories and Hyperk¨ahler Metrics Richard Eager UCSB Friday, October 17th, 2008, 4:00 p.m. Richard Eager UCSB 3D N = 4 Supersymmetric Gauge Theories and Hyperk¨ahler M #12;Outline 3D N = 4 Gauge Theory Compactication Twistors

Bigelow, Stephen

52

UHERO FORECAST PROJECT DECEMBER 5, 2014  

E-Print Network [OSTI]

deficits. After solid 3% growth this year, real GDP growth will recede a bit for the next two years. New household spending. Real GDP will firm above 3% in 2015. · The pace of growth in China has continuedUHERO FORECAST PROJECT DECEMBER 5, 2014 Asia-Pacific Forecast: Press Version: Embargoed Until 2

53

Probabilistic manpower forecasting  

E-Print Network [OSTI]

- ing E. Results- Probabilistic Forecasting . 26 27 Z8 29 31 35 36 38 39 IV. CONCLUSIONS. V. GLOSSARY 42 44 APPENDICES REFERENCES 50 70 LIST OF TABLES Table Page Outline of Job-Probability Matrix Job-Probability Matrix. Possible... Outcomes of Job A Possible Outcomes of Jobs A and B 10 Possible Outcomes of Jobs A, B and C II LIST GF FIGURES Figure Page Binary Representation of Numbers 0 Through 7 12 First Cumulative Probability Table 14 3. Graph of Cumulative Probability vs...

Koonce, James Fitzhugh

1966-01-01T23:59:59.000Z

54

cwebch3 ICON cweb_ch3.ico cwebch4 ICON cweb_ch4.ico cwebs3 ...  

E-Print Network [OSTI]

cwebch3 ICON cweb_ch3.ico cwebch4 ICON cweb_ch4.ico cwebs3 ICON cweb_s3.ico cwebs4 ICON cweb_s4.ico dvi3 ICON dvi3.ico dvi4 ICON dvi4.ico gf3...

55

Annual Energy Outlook with Projections to 2025-Forecast Comparisons  

Gasoline and Diesel Fuel Update (EIA)

Forecast Comparisons Forecast Comparisons Annual Energy Outlook 2004 with Projections to 2025 Forecast Comparisons Index (click to jump links) Economic Growth World Oil Prices Total Energy Consumption Electricity Natural Gas Petroleum Coal The AEO2004 forecast period extends through 2025. One other organization—Global Insight, Incorporated (GII)—produces a comprehensive energy projection with a similar time horizon. Several others provide forecasts that address one or more aspects of energy markets over different time horizons. Recent projections from GII and others are compared here with the AEO2004 projections. Economic Growth Printer Friendly Version Average annual percentage growth Forecast 2002-2008 2002-2013 2002-2025 AEO2003 3.2 3.3 3.1 AEO2004 Reference 3.3 3.2 3.0

56

Wind Power Forecasting  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Retrospective Reports 2011 Smart Grid Wind Integration Wind Integration Initiatives Wind Power Forecasting Wind Projects Email List Self Supplied Balancing Reserves Dynamic...

57

Wind Power Forecasting  

Science Journals Connector (OSTI)

The National Center for Atmospheric Research (NCAR) has configured a Wind Power Forecasting System for Xcel Energy that integrates high resolution and ensemble...

Sue Ellen Haupt; William P. Mahoney; Keith Parks

2014-01-01T23:59:59.000Z

58

Application of a statistical post-processing technique to a gridded, operational, air quality forecast  

Science Journals Connector (OSTI)

Abstract An automated air quality forecast bias correction scheme based on the short-term persistence of model bias with respect to recent observations is described. The scheme has been implemented in the operational Met Office five day regional air quality forecast for the UK. It has been evaluated against routine hourly pollution observations for a year-long hindcast. The results demonstrate the value of the scheme in improving performance. For the first day of the forecast the post-processing reduces the bias from 7.02 to 0.53?gm?3 for O3, from?4.70 to?0.63?gm?3 for NO2, from?4.00 to?0.13?gm?3 for PM2.5 and from?7.70 to?0.25?gm?3 for PM10. Other metrics also improve for all species. An analysis of the variation of forecast skill with lead-time is presented and demonstrates that the post-processing increases forecast skill out to five days ahead.

L.S. Neal; P. Agnew; S. Moseley; C. Ordez; N.H. Savage; M. Tilbee

2014-01-01T23:59:59.000Z

59

Medium- and Long-Range Forecasting  

Science Journals Connector (OSTI)

In contrast to short and extended range forecasts, predictions for periods beyond 5 days use time-averaged, midtropospheric height fields as their primary guidance. As time ranges are increased to 3O- and 90-day outlooks, guidance increasingly ...

A. James Wagner

1989-09-01T23:59:59.000Z

60

Beamline 4.0.3  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

3 Print 3 Print High-resolution spectroscopy of complex materials (MERLIN) Endstations: MERIXS: High-resolution inelastic scattering ARPES: Angle-resolved photoemission spectroscopy GENERAL BEAMLINE INFORMATION Operational 2011 Source characteristics 9.0-cm-period quasiperiodic elliptical polarization undulator (EPU9) Energy range 9eV-120eV with current gratings Monochromator Variable-included-angle spherical grating monochromator (SGM) Calculated flux (1.9 GeV, 400 mA) 1012 photons/s/0.01%BW at 100 eV Resolving power (E/ΔE) High flux 1200 lines/mm; ~1/25,000 Endstations High-resolution inelastic scattering (MERIXS) and ARPES Characteristics Milli-Electron-volt Resolution beamLINe (MERLIN): Ultrahigh-resolution inelastic scattering and angle-resolved photoemission

Note: This page contains sample records for the topic "forecast 4 3" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


61

Beamline 1.4.3  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

3 Print 3 Print FTIR spectromicroscopy Scientific disciplines: Biology, correlated electron systems, environmental science, geology, chemistry, polymers, soft materials GENERAL BEAMLINE INFORMATION Operational Yes Proposal cycle Proposals for General Sciences Beamlines (6-month cycle) Source characteristics Bend magnet Energy range 0.05-1.2 eV Frequency range 650 - 10,000 cm-1 Interferometer resolution Up to 0.125 cm-1 Endstations Nicolet Magna 760 FTIR, Nic-Plan IR Microscope (N2 purged) Characteristics Motorized sample stage, 0.1-micron resolution, reflection, transmission, and grazing-incidence reflection modes Spatial resolution Diffraction-limited (~wavelength); x-y stage with 0.1 micron accuracy Detectors MCT-A (mercury cadmium telluride) Spot size at sample 2-10 µm (diffraction-limited)

62

Beamline 4.0.3  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

3 Print 3 Print High-resolution spectroscopy of complex materials (MERLIN) Endstations: MERIXS: High-resolution inelastic scattering ARPES: Angle-resolved photoemission spectroscopy GENERAL BEAMLINE INFORMATION Operational 2011 Source characteristics 9.0-cm-period quasiperiodic elliptical polarization undulator (EPU9) Energy range 9eV-120eV with current gratings Monochromator Variable-included-angle spherical grating monochromator (SGM) Calculated flux (1.9 GeV, 400 mA) 1012 photons/s/0.01%BW at 100 eV Resolving power (E/ΔE) High flux 1200 lines/mm; ~1/25,000 Endstations High-resolution inelastic scattering (MERIXS) and ARPES Characteristics Milli-Electron-volt Resolution beamLINe (MERLIN): Ultrahigh-resolution inelastic scattering and angle-resolved photoemission

63

Beamline 4.0.3  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

3 Print 3 Print High-resolution spectroscopy of complex materials (MERLIN) Endstations: MERIXS: High-resolution inelastic scattering ARPES: Angle-resolved photoemission spectroscopy GENERAL BEAMLINE INFORMATION Operational 2011 Source characteristics 9.0-cm-period quasiperiodic elliptical polarization undulator (EPU9) Energy range 9eV-120eV with current gratings Monochromator Variable-included-angle spherical grating monochromator (SGM) Calculated flux (1.9 GeV, 400 mA) 1012 photons/s/0.01%BW at 100 eV Resolving power (E/ΔE) High flux 1200 lines/mm; ~1/25,000 Endstations High-resolution inelastic scattering (MERIXS) and ARPES Characteristics Milli-Electron-volt Resolution beamLINe (MERLIN): Ultrahigh-resolution inelastic scattering and angle-resolved photoemission

64

Beamline 4.0.3  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

3 Print 3 Print High-resolution spectroscopy of complex materials (MERLIN) Endstations: MERIXS: High-resolution inelastic scattering ARPES: Angle-resolved photoemission spectroscopy GENERAL BEAMLINE INFORMATION Operational 2011 Source characteristics 9.0-cm-period quasiperiodic elliptical polarization undulator (EPU9) Energy range 9eV-120eV with current gratings Monochromator Variable-included-angle spherical grating monochromator (SGM) Calculated flux (1.9 GeV, 400 mA) 1012 photons/s/0.01%BW at 100 eV Resolving power (E/ΔE) High flux 1200 lines/mm; ~1/25,000 Endstations High-resolution inelastic scattering (MERIXS) and ARPES Characteristics Milli-Electron-volt Resolution beamLINe (MERLIN): Ultrahigh-resolution inelastic scattering and angle-resolved photoemission

65

Beamline 4.0.3  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

3 Print 3 Print High-resolution spectroscopy of complex materials (MERLIN) Endstations: MERIXS: High-resolution inelastic scattering ARPES: Angle-resolved photoemission spectroscopy GENERAL BEAMLINE INFORMATION Operational 2011 Source characteristics 9.0-cm-period quasiperiodic elliptical polarization undulator (EPU9) Energy range 9eV-120eV with current gratings Monochromator Variable-included-angle spherical grating monochromator (SGM) Calculated flux (1.9 GeV, 400 mA) 1012 photons/s/0.01%BW at 100 eV Resolving power (E/ΔE) High flux 1200 lines/mm; ~1/25,000 Endstations High-resolution inelastic scattering (MERIXS) and ARPES Characteristics Milli-Electron-volt Resolution beamLINe (MERLIN): Ultrahigh-resolution inelastic scattering and angle-resolved photoemission

66

Beamline 1.4.3  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

3 Print 3 Print FTIR spectromicroscopy Scientific disciplines: Biology, correlated electron systems, environmental science, geology, chemistry, polymers, soft materials GENERAL BEAMLINE INFORMATION Operational Yes Proposal cycle Proposals for General Sciences Beamlines (6-month cycle) Source characteristics Bend magnet Energy range 0.05-1.2 eV Frequency range 650 - 10,000 cm-1 Interferometer resolution Up to 0.125 cm-1 Endstations Nicolet Magna 760 FTIR, Nic-Plan IR Microscope (N2 purged) Characteristics Motorized sample stage, 0.1-micron resolution, reflection, transmission, and grazing-incidence reflection modes Spatial resolution Diffraction-limited (~wavelength); x-y stage with 0.1 micron accuracy Detectors MCT-A (mercury cadmium telluride) Spot size at sample 2-10 µm (diffraction-limited)

67

Beamline 4.0.3  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

3 Print 3 Print High-resolution spectroscopy of complex materials (MERLIN) Endstations: MERIXS: High-resolution inelastic scattering ARPES: Angle-resolved photoemission spectroscopy GENERAL BEAMLINE INFORMATION Operational 2011 Source characteristics 9.0-cm-period quasiperiodic elliptical polarization undulator (EPU9) Energy range 9eV-120eV with current gratings Monochromator Variable-included-angle spherical grating monochromator (SGM) Calculated flux (1.9 GeV, 400 mA) 1012 photons/s/0.01%BW at 100 eV Resolving power (E/ΔE) High flux 1200 lines/mm; ~1/25,000 Endstations High-resolution inelastic scattering (MERIXS) and ARPES Characteristics Milli-Electron-volt Resolution beamLINe (MERLIN): Ultrahigh-resolution inelastic scattering and angle-resolved photoemission

68

Beamline 4.0.3  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

3 Print 3 Print High-resolution spectroscopy of complex materials (MERLIN) Endstations: MERIXS: High-resolution inelastic scattering ARPES: Angle-resolved photoemission spectroscopy GENERAL BEAMLINE INFORMATION Operational 2011 Source characteristics 9.0-cm-period quasiperiodic elliptical polarization undulator (EPU9) Energy range 9eV-120eV with current gratings Monochromator Variable-included-angle spherical grating monochromator (SGM) Calculated flux (1.9 GeV, 400 mA) 1012 photons/s/0.01%BW at 100 eV Resolving power (E/ΔE) High flux 1200 lines/mm; ~1/25,000 Endstations High-resolution inelastic scattering (MERIXS) and ARPES Characteristics Milli-Electron-volt Resolution beamLINe (MERLIN): Ultrahigh-resolution inelastic scattering and angle-resolved photoemission

69

Beamline 1.4.3  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

3 Print 3 Print FTIR spectromicroscopy Scientific disciplines: Biology, correlated electron systems, environmental science, geology, chemistry, polymers, soft materials GENERAL BEAMLINE INFORMATION Operational Yes Proposal cycle Proposals for General Sciences Beamlines (6-month cycle) Source characteristics Bend magnet Energy range 0.05-1.2 eV Frequency range 650 - 10,000 cm-1 Interferometer resolution Up to 0.125 cm-1 Endstations Nicolet Magna 760 FTIR, Nic-Plan IR Microscope (N2 purged) Characteristics Motorized sample stage, 0.1-micron resolution, reflection, transmission, and grazing-incidence reflection modes Spatial resolution Diffraction-limited (~wavelength); x-y stage with 0.1 micron accuracy Detectors MCT-A (mercury cadmium telluride) Spot size at sample 2-10 µm (diffraction-limited)

70

Beamline 1.4.3  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

3 Print 3 Print FTIR spectromicroscopy Scientific disciplines: Biology, correlated electron systems, environmental science, geology, chemistry, polymers, soft materials GENERAL BEAMLINE INFORMATION Operational Yes Proposal cycle Proposals for General Sciences Beamlines (6-month cycle) Source characteristics Bend magnet Energy range 0.05-1.2 eV Frequency range 650 - 10,000 cm-1 Interferometer resolution Up to 0.125 cm-1 Endstations Nicolet Magna 760 FTIR, Nic-Plan IR Microscope (N2 purged) Characteristics Motorized sample stage, 0.1-micron resolution, reflection, transmission, and grazing-incidence reflection modes Spatial resolution Diffraction-limited (~wavelength); x-y stage with 0.1 micron accuracy Detectors MCT-A (mercury cadmium telluride) Spot size at sample 2-10 µm (diffraction-limited)

71

Beamline 1.4.3  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

3 Print 3 Print FTIR spectromicroscopy Scientific disciplines: Biology, correlated electron systems, environmental science, geology, chemistry, polymers, soft materials GENERAL BEAMLINE INFORMATION Operational Yes Proposal cycle Proposals for General Sciences Beamlines (6-month cycle) Source characteristics Bend magnet Energy range 0.05-1.2 eV Frequency range 650 - 10,000 cm-1 Interferometer resolution Up to 0.125 cm-1 Endstations Nicolet Magna 760 FTIR, Nic-Plan IR Microscope (N2 purged) Characteristics Motorized sample stage, 0.1-micron resolution, reflection, transmission, and grazing-incidence reflection modes Spatial resolution Diffraction-limited (~wavelength); x-y stage with 0.1 micron accuracy Detectors MCT-A (mercury cadmium telluride) Spot size at sample 2-10 µm (diffraction-limited)

72

Beamline 4.0.3  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

3 Print 3 Print High-resolution spectroscopy of complex materials (MERLIN) Endstations: MERIXS: High-resolution inelastic scattering ARPES: Angle-resolved photoemission spectroscopy GENERAL BEAMLINE INFORMATION Operational 2011 Source characteristics 9.0-cm-period quasiperiodic elliptical polarization undulator (EPU9) Energy range 9eV-120eV with current gratings Monochromator Variable-included-angle spherical grating monochromator (SGM) Calculated flux (1.9 GeV, 400 mA) 1012 photons/s/0.01%BW at 100 eV Resolving power (E/ΔE) High flux 1200 lines/mm; ~1/25,000 Endstations High-resolution inelastic scattering (MERIXS) and ARPES Characteristics Milli-Electron-volt Resolution beamLINe (MERLIN): Ultrahigh-resolution inelastic scattering and angle-resolved photoemission

73

Beamline 1.4.3  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

3 Print 3 Print FTIR spectromicroscopy Scientific disciplines: Biology, correlated electron systems, environmental science, geology, chemistry, polymers, soft materials GENERAL BEAMLINE INFORMATION Operational Yes Proposal cycle Proposals for General Sciences Beamlines (6-month cycle) Source characteristics Bend magnet Energy range 0.05-1.2 eV Frequency range 650 - 10,000 cm-1 Interferometer resolution Up to 0.125 cm-1 Endstations Nicolet Magna 760 FTIR, Nic-Plan IR Microscope (N2 purged) Characteristics Motorized sample stage, 0.1-micron resolution, reflection, transmission, and grazing-incidence reflection modes Spatial resolution Diffraction-limited (~wavelength); x-y stage with 0.1 micron accuracy Detectors MCT-A (mercury cadmium telluride) Spot size at sample 2-10 µm (diffraction-limited)

74

Improving Inventory Control Using Forecasting  

E-Print Network [OSTI]

This project studied and analyzed Electronic Controls, Inc.s forecasting process for three high-demand products. In addition, alternative forecasting methods were developed to compare to the current forecast method. The ...

Balandran, Juan

2005-12-16T23:59:59.000Z

75

Invertible Symmetric 3 3 Binary Matrices and GQ(2, 4)  

E-Print Network [OSTI]

Invertible Symmetric 3 ? 3 Binary Matrices and GQ(2, 4) Andrea Blunck,1 P´eter L´evay,2 Metod of 27 (disregarding the identity) invertible symmetric 3 ? 3 matrices over GF(2) and the points of invertible symmetric 3 ? 3 matrices over the field GF(2) has 28 elements. The elements different from

Paris-Sud XI, Université de

76

Technology Forecasting Scenario Development  

E-Print Network [OSTI]

Technology Forecasting and Scenario Development Newsletter No. 2 October 1998 Systems Analysis was initiated on the establishment of a new research programme entitled Technology Forecasting and Scenario and commercial applica- tion of new technology. An international Scientific Advisory Panel has been set up

77

CAPP 2010 Forecast.indd  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Forecast, Markets & Pipelines 1 Crude Oil Forecast, Markets & Pipelines June 2010 2 CANADIAN ASSOCIATION OF PETROLEUM PRODUCERS Disclaimer: This publication was prepared by the...

78

Data:Dbbdcd3d-79fd-4edf-92b6-74beef77aea3 | Open Energy Information  

Open Energy Info (EERE)

Dbbdcd3d-79fd-4edf-92b6-74beef77aea3 Dbbdcd3d-79fd-4edf-92b6-74beef77aea3 No revision has been approved for this page. It is currently under review by our subject matter experts. Jump to: navigation, search Loading... 1. Basic Information 2. Demand 3. Energy << Previous 1 2 3 Next >> Basic Information Utility name: City of Orangeburg, South Carolina (Utility Company) Effective date: 2009/01/01 End date if known: Rate name: Medium Demand Sector: Commercial Description: Applicable: To any customer for general power and energy purposes having demands of 200 kW and not exceeding 1200 kW. This schedule is not applicable to breakdown, standby, supplementary, resale or shared electric service. Customer must provide and pay for the cost of suitable communication equipment and power source (including any ongoing monthly charges) for Department installed monitoring and metering equipment. On or before August 1st of each calendar year, Customer shall provide DPU with a written forecast of Customer's maximum on-peak demand during the succeeding year (12-month period beginning January 1st). The on-peak period shall be as specified below. If agreed to by the DPU, such forecast as provided by Customer shall constitute Customer's contract demand during the succeeding contract year. In the event Customer fails to provide a forecast to DPU or DPU does not agree to Customer's forecast, Customer's contract demand during the succeeding contract year shall be the greater of Customer's current contract demand or Customer's maximum integrated one-hour metered demand during on-peak periods during the current contract year.

79

E-Print Network 3.0 - arctic climate system Sample Search Results  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

of ecosystems around... and Detect Arctic Climate and Ecosystem Changes 3) Improve Weather and Water Forecasts and Warnings 4... ice conditions. These changes in Arctic ......

80

1360 IEEE Transactions on Power Systems, Vol. 12, No. 3, August 1997 Application of Fuzzy Logic Technology for Spatial Load Forecasting  

E-Print Network [OSTI]

of historical distribution load data [2]. The increasinglypopular, accurate, and affordable Geographic Informahon Systems (GIS) technology provides an excellent data base platform for spatial load forecasting on collecting relevant geographic data. Thus spatial load forecasting becomes even more attractive than before

Chow, Mo-Yuen

Note: This page contains sample records for the topic "forecast 4 3" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


81

3, 871898, 2007 Changes in C3/C4  

E-Print Network [OSTI]

CPD 3, 871­898, 2007 Changes in C3/C4 vegetation in the Central Himalayas M. Mampuku et al. Title Printer-friendly Version Interactive Discussion EGU Clim. Past Discuss., 3, 871­898, 2007 www.clim-past-discuss.net/3/871/2007/ © Author(s) 2007. This work is licensed under a Creative Commons License. Climate

Boyer, Edmond

82

Generating Spatio-Temporal Descriptions in Pollen Forecasts Ross Turner, Somayajulu Sripada and Ehud Reiter  

E-Print Network [OSTI]

Date AreaID Value 27/06/2005 1 (North) 6 27/06/2005 2 (North West) 5 27/06/2005 3 (Central) 5 27/06/2005 4Generating Spatio-Temporal Descriptions in Pollen Forecasts Ross Turner, Somayajulu Sripada al., 1994) and MultiMeteo (Coch, 1998). 2 Knowledge Acquisition Our knowledge acquisition activities

83

Chapter 4 The use of satellite surface wind data to improve weather analysis and forecasting at the NASA Data Assimilation Office  

Science Journals Connector (OSTI)

One important application of satellite surface wind observations is to improve the accuracy of weather analyses and forecasts. The first satellite to measure surface wind over the ocean was SeaSat in 1978. The initial impact of satellite surface wind data on weather analysis and forecasting was very small, but extensive research has been conducted since SeaSat to improve data accuracy and utilization of these data in atmospheric models. Satellite surface wind data are now used to detect intense storms over the ocean as well as to improve the overall representation of the wind field in numerical weather prediction models. Satellite wind data contribute to improved warnings for ships at sea and to more accurate global weather forecasts. Experiments with the Goddard Earth Observing System atmospheric general circulation model and data assimilation system indicate that the impact of satellite wind data measured by the National Aeronautics and Space Administration Scatterometer was approximately twice as large as the impact of Special Sensor Microwave Imager or European Remote-sensing Satellite wind data. Locations of cyclones over the ocean were up to 500 km more accurate, and the useful forecast skill in the Southern Hemisphere extratropics was extended by 24 hours.

R. Atlas; R.N. Hoffman

2000-01-01T23:59:59.000Z

84

Valuing Climate Forecast Information  

Science Journals Connector (OSTI)

The article describes research opportunities associated with evaluating the characteristics of climate forecasts in settings where sequential decisions are made. Illustrative results are provided for corn production in east central Illinois. ...

Steven T. Sonka; James W. Mjelde; Peter J. Lamb; Steven E. Hollinger; Bruce L. Dixon

1987-09-01T23:59:59.000Z

85

Comparing Forecast Skill  

Science Journals Connector (OSTI)

A basic question in forecasting is whether one prediction system is more skillful than another. Some commonly used statistical significance tests cannot answer this question correctly if the skills are computed on a common period or using a common ...

Timothy DelSole; Michael K. Tippett

2014-12-01T23:59:59.000Z

86

3 Introduction 4 Training in Clinical Psychology  

E-Print Network [OSTI]

1 2 Contacts 3 Introduction 4 Training in Clinical Psychology 4 Entry Requirements 6 Scholarship Justice Psychology 16 Overview of Programme 40 Clinical Placements 41 Profile of Employment Post to give an overview of the Clinical Psychology Programme. Information contained in this publication

Hickman, Mark

87

3.4 Timeline Zoomable Window  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

.1 Zoomable and Scrollable Up: 3. Graphical User Interface .1 Zoomable and Scrollable Up: 3. Graphical User Interface Previous: 3.3 Legend Window Contents 3.4 Timeline Zoomable Window Figure 3.10: Initial display of the Timeline window of a 514 MB 16-process slog2 file with default preview resolution. Image timeline_popup Most of the advanced features in the SLOG-2 viewer are provided through a zoomable window. Jumpshot-4 has two zoomable windows: Timeline and Histogram. Figure 3.10 is the initial display of the Timeline window of a half-gigabyte 16-timeline slog2 file. The zoomable window consists of several concealable and removable components. In the center of the window is the zoomable and scrollable canvas. For the Timeline window, the center canvas is called the timeline canvas. Directly on top of the zoomable

88

Evaluation of Mixed-Phase Cloud Parameterizations in Short-Range Weather Forecasts with CAM3 and AM2 for Mixed-Phase Arctic Cloud Experiment  

SciTech Connect (OSTI)

By making use of the in-situ data collected from the recent Atmospheric Radiation Measurement Mixed-Phase Arctic Cloud Experiment, we have tested the mixed-phase cloud parameterizations used in the two major U.S. climate models, the National Center for Atmospheric Research Community Atmosphere Model version 3 (CAM3) and the Geophysical Fluid Dynamics Laboratory climate model (AM2), under both the single-column modeling framework and the U.S. Department of Energy Climate Change Prediction Program-Atmospheric Radiation Measurement Parameterization Testbed. An improved and more physically based cloud microphysical scheme for CAM3 has been also tested. The single-column modeling tests were summarized in the second quarter 2007 Atmospheric Radiation Measurement metric report. In the current report, we document the performance of these microphysical schemes in short-range weather forecasts using the Climate Chagne Prediction Program Atmospheric Radiation Measurement Parameterizaiton Testbest strategy, in which we initialize CAM3 and AM2 with realistic atmospheric states from numerical weather prediction analyses for the period when Mixed-Phase Arctic Cloud Experiment was conducted.

Xie, S; Boyle, J; Klein, S; Liu, X; Ghan, S

2007-06-01T23:59:59.000Z

89

Fe3O4-LiMo3Se3 Nanoparticle Clusters as Superparamagnetic Nanocompasses  

E-Print Network [OSTI]

Fe3O4-LiMo3Se3 Nanoparticle Clusters as Superparamagnetic Nanocompasses Frank E. Osterloh,*, Hiroki bacteria is described. LiMo3Se3-Fe3O4 nanowire-nanoparticle composites were synthesized by a reaction of 3-iodopropionic acid treated LiMo3Se3 nanowire bundles with oleic acid-stabilized Fe3O4 nanoparticles of 2.8, 5

Osterloh, Frank

90

Thermoelectric properties of polycrystalline In4Se3 and In4Te3  

SciTech Connect (OSTI)

High thermoelectric performance of a single crystal layered compound In{sub 4}Se{sub 3} was reported recently. We present here an electrical and thermal transport property study over a wide temperature range for polycrystalline samples of In{sub 4}Se{sub 3} and In{sub 4}Te{sub 3}. Our data demonstrate that these materials are lightly doped semiconductors, leading to large thermopower and resistivity. Very low thermal conductivity, below 1 W/m K, is observed. The power factors for In{sub 4}Se{sub 3} and In{sub 4}Te{sub 3} are much smaller when compared with state-of-the-art thermoelectric materials. This combined with the very low thermal conductivity results in the maximum ZT value of less than 0.6 at 700 K for In{sub 4}Se{sub 3}.

Shi, Xun [Optimal Inc., Plymouth, Michigan 48170, USA; Cho, Jung Y [GM R& D and Planning, Warren, Michigan; Salvador, James R. [GM R& D and Planning, Warren, Michigan; Yang, Jihui [General Motors Corporation-R& D; Wang, Hsin [Oak Ridge National Laboratory (ORNL)

2010-01-01T23:59:59.000Z

91

Correspondence among the Correlation, RMSE, and Heidke Forecast Verification Measures; Refinement of the Heidke Score  

Science Journals Connector (OSTI)

The correspondence among the following three forecast verification scores, based on forecasts and their associated observations, is described: 1) the correlation score, 2) the root-mean-square error (RMSE) score, and 3) the Heidke score (based on ...

Anthony G. Barnston

1992-12-01T23:59:59.000Z

92

Pavement Conference ............3 Conference opener..................4  

E-Print Network [OSTI]

· Pavement Conference ............3 · Conference opener..................4 · Conference luncheon Transportation Research Conference. The event returns to its usual location at the Saint Paul RiverCentre April will post live Twitter updates during the conference. To follow CTS on Twitter, see http

Minnesota, University of

93

Annual Energy Outlook Forecast Evaluation - Tables 2-18  

Gasoline and Diesel Fuel Update (EIA)

Total Energy Consumption: AEO Forecasts, Actual Values, and Total Energy Consumption: AEO Forecasts, Actual Values, and Absolute and Percent Errors, 1985-1999 Publication 1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 Average Absolute Error (Quadrillion Btu) AEO82 79.1 79.6 79.9 80.8 82.0 83.3 1.8 AEO83 78.0 79.5 81.0 82.4 83.8 84.6 89.5 1.2 AEO84 78.5 79.4 81.2 83.1 85.0 86.4 93.5 1.5 AEO85 77.6 78.5 79.8 81.2 82.6 83.3 84.2 85.2 85.9 86.7 87.7 1.3 AEO86 77.0 78.8 79.8 80.6 81.5 82.9 84.0 84.8 85.7 86.5 87.9 88.4 87.8 88.7 3.6 AEO87 78.9 80.0 81.9 82.8 83.9 85.3 86.4 87.5 88.4 1.5 AEO89 82.2 83.7 84.5 85.4 86.4 87.3 88.2 89.2 90.8 91.4 90.9 91.7 1.8

94

Modeling and Analysis Papers - Annual Energy Outlook Forecast Evaluation  

Gasoline and Diesel Fuel Update (EIA)

Evaluation > Table 1 Evaluation > Table 1 Table 1. Comparison of Absolute Percent Errors for AEO Forecast Evaluation, 1996 to 2002 Average Absolute Percent Error Variable AEO82 to AEO97 AEO82 to AEO98 AEO82 to AEO99 AEO82 to AEO2000 AEO82 to AEO2001 AEO82 to AEO2002 Consumption Total Energy Consumption 1.6 1.7 1.7 1.8 1.9 1.9 Total Petroleum Consumption 2.8 2.9 2.8 2.9 3.0 2.9 Total Natural Gas Consumption 5.8 5.7 5.6 5.6 5.5 5.5 Total Coal Consumption 2.7 3.0 3.2 3.3 3.5 3.6 Total Electricity Sales 1.6 1.7 1.8 1.9 2.4 2.5 Production Crude Oil Production 4.2 4.3 4.5 4.5 4.5 4.5 Natural Gas Production 5.0 4.8 4.7 4.6 4.6 4.4 Coal Production 3.7 3.6 3.6 3.5 3.7 3.6 Imports and Exports Net Petroleum Imports 10.1 9.5 8.8 8.4 7.9 7.4 Net Natural Gas Imports 17.4 16.7 16.0 15.9 15.8 15.8 Net Coal Exports

95

Sandia National Laboratories: solar forecasting  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Energy, Modeling & Analysis, News, News & Events, Partnership, Photovoltaic, Renewable Energy, Solar, Systems Analysis The book, Solar Energy Forecasting and Resource...

96

On Sequential Probability Forecasting  

E-Print Network [OSTI]

at the same time. [Probability, Statistics and Truth, MacMillan 1957. page 11] ... the collective "denotes a collective wherein the attribute of the single event is the number of points thrown. [Probability, StatisticsOn Sequential Probability Forecasting David A. Bessler 1 David A. Bessler Texas A&M University

McCarl, Bruce A.

97

0. PREMBULO 3 1. INTRODUCCIN 4  

E-Print Network [OSTI]

. CARACTERIZACI?N DEL SISTEMA ESPA?OL DE CIENCIA, TECNOLOGÍA E INNOVACI?N 8 4. OBJETIVOS 16 5. EJES PRIORITARIOS 32 de gráficos y tablas 42 #12;3 0. PREÁMBULO La ESTRATEGIA ESPA?OLA DE CIENCIA Y TECNOLOGÍA Y DE Ciencia, Tecnología e Innovación, facilitando la colaboración entre todos sus agentes e incrementando los

Escolano, Francisco

98

Microsoft Word - 3.4.docx  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

3 3 rd grade Author: Kelly Larson Editors: Beverly Baker, Angelique Harhsman, Rebecca Shankland, and Sue Watts Layout & Design: Claire Roybal of Claire Roybal & Associates Ltd. Pajarito Plateau Field Science Curriculum 3 rd Grade Lesson 4 Page 44 OVERVIEW OF LESSON In this activity, students will investigate the importance of camouflage in nature in two activities. In the first, the students will attempt to fool their classmates by hiding a paper moth in plain view using camouflage. In the second activity, they will observe how matching color can be effective in camouflage by collecting different colored "worms" in a grassy area. STUDENT OBJECTIVES * Students will demonstrate the importance of camouflage. * Students will learn about the different types of

99

Annual Energy Outlook Forecast Evaluation  

Gasoline and Diesel Fuel Update (EIA)

by Esmeralda Sánchez The Office of Integrated Analysis and Forecasting has produced an annual evaluation of the accuracy of the Annual Energy Outlook (AEO) since 1996. Each year, the forecast evaluation expands on the prior year by adding the projections from the most recent AEO and the most recent historical year of data. The Forecast Evaluation examines the accuracy of AEO forecasts dating back to AEO82 by calculating the average absolute forecast errors for each of the major variables for AEO82 through AEO2003. The average absolute forecast error, which for the purpose of this report will also be referred to simply as "average error" or "forecast error", is computed as the simple mean, or average, of all the absolute values of the percent errors,

100

Data:Ea4b3dbf-3f19-4f4d-aa4e-3cd59d295774 | Open Energy Information  

Open Energy Info (EERE)

b3dbf-3f19-4f4d-aa4e-3cd59d295774 b3dbf-3f19-4f4d-aa4e-3cd59d295774 No revision has been approved for this page. It is currently under review by our subject matter experts. Jump to: navigation, search Loading... 1. Basic Information 2. Demand 3. Energy << Previous 1 2 3 Next >> Basic Information Utility name: Coast Electric Power Assn Effective date: 2011/04/01 End date if known: Rate name: Industrial (Over 1000 kW) Time of Use Sector: Industrial Description: *Available to customers located on or near the Cooperative's lines for all types of usage, subject to the established rules and regulations of the Cooperative. Adjustment includes power cost adjustment rider and tax expense adjustment rider Monthly Power Factor Correction Charge - The power factor shall be maintained at or as near 100% as is reasonably possible. However, should the ratio of KVAR to KW at the time of the highest average 15-minute demand be greater than 48%, the bill will be adjusted as follows: $.25 per KVAR for all KVAR in excess of 48% of billing demand.

Note: This page contains sample records for the topic "forecast 4 3" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


101

Weather Research and Forecasting Model 2.2 Documentation  

E-Print Network [OSTI]

................................................................................................. 20 3.1.2 Integrate's Flow of ControlWeather Research and Forecasting Model 2.2 Documentation: A Step-by-step guide of a Model Run .......................................................................................................................... 19 3.1 The Integrate Subroutine

Sadjadi, S. Masoud

102

table4.3_02.xls  

U.S. Energy Information Administration (EIA) Indexed Site

Offsite-Produced Fuel Consumption, 2002; Offsite-Produced Fuel Consumption, 2002; Level: National and Regional Data; Row: Values of Shipments and Employment Sizes; Column: Energy Sources; Unit: Trillion Btu. RSE Economic Residual Distillate Natural LPG and Coke and Row Characteristic(a) Total Electricity(b) Fuel Oil Fuel Oil(c) Gas(d) NGL(e) Coal Breeze Other(f) Factors Total United States RSE Column Factors: 0.6 0.6 1.3 2.2 0.7 1.4 1.5 0.6 1 Value of Shipments and Receipts (million dollars) Under 20 1,276 437 15 50 598 W 47 W 97 14.5 20-49 1,258 417 28 22 590 W 112 W 72 6.1 50-99 1,463 401 17 W 731 7 185 W 97 4.9 100-249 2,041 571 43 17 968 8 253 7 175 4.6 250-499 1,962 475 54 W 826 W 326 W 255 5.6 500 and Over 3,971 618 38 W 2,077 37 259 W 607 1.5 Total 11,970

103

table3.4_02.xls  

U.S. Energy Information Administration (EIA) Indexed Site

4 Number of Establishments by Fuel Consumption, 2002; 4 Number of Establishments by Fuel Consumption, 2002; Level: National Data; Row: NAICS Codes; Column: Energy Sources; Unit: Establishment Counts. Any RSE NAICS Energy Net Residual Distillate Natural LPG and Coke Row Code(a) Subsector and Industry Source(b) Electricity(c) Fuel Oil Fuel Oil(d) Gas(e) NGL(f) Coal and Breeze Other(g) Factors Total United States RSE Column Factors: 0.7 0.7 1.3 1.1 0.9 1.2 1.2 1 1.2 311 Food 15,089 15,045 274 2,418 12,018 3,159 91 19 1,858 5.1 311221 Wet Corn Milling 49 49 3 20 47 14 19 0 15 1 31131 Sugar 77 77 18 40 62 31 24 19 44 1 311421 Fruit and Vegetable Canning 468 468 38 123 416 229 0 0 146 7.8 312 Beverage and Tobacco Products 1,595 1,595 35 251 1,132 630 17 0 184 11 3121 Beverages 1,517 1,517

104

Winter wheat yield forecasting in Ukraine based on Earth observation, meteorological data and biophysical models  

Science Journals Connector (OSTI)

Ukraine is one of the most developed agriculture countries and one of the biggest crop producers in the world. Timely and accurate crop yield forecasts for Ukraine at regional level become a key element in providing support to policy makers in food security. In this paper, feasibility and relative efficiency of using moderate resolution satellite data to winter wheat forecasting in Ukraine at oblast level is assessed. Oblast is a sub-national administrative unit that corresponds to the NUTS2 level of the Nomenclature of Territorial Units for Statistics (NUTS) of the European Union. NDVI values were derived from the MODIS sensor at the 250m spatial resolution. For each oblast NDVI values were averaged for a cropland map (Rainfed croplands class) derived from the ESA GlobCover map, and were used as predictors in the regression models. Using a leave-one-out cross-validation procedure, the best time for making reliable yield forecasts in terms of root mean square error was identified. For most oblasts, NDVI values taken in AprilMay provided the minimum RMSE value when comparing to the official statistics, thus enabling forecasts 23 months prior to harvest. The NDVI-based approach was compared to the following approaches: empirical model based on meteorological observations (with forecasts in AprilMay that provide minimum RMSE value) and WOFOST crop growth simulation model implemented in the CGMS system (with forecasts in June that provide minimum RMSE value). All three approaches were run to produce winter wheat yield forecasts for independent datasets for 2010 and 2011, i.e. on data that were not used within model calibration process. The most accurate predictions for 2010 were achieved using the CGMS system with the RMSE value of 0.3tha?1 in June and 0.4tha?1 in April, while performance of three approaches for 2011 was almost the same (0.50.6tha?1 in April). Both NDVI-based approach and CGMS system overestimated winter wheat yield comparing to official statistics in 2010, and underestimated it in 2011. Therefore, we can conclude that performance of empirical NDVI-based regression model was similar to meteorological and CGMS models when producing winter wheat yield forecasts at oblast level in Ukraine 23 months prior to harvest, while providing minimum requirements to input datasets.

Felix Kogan; Nataliia Kussul; Tatiana Adamenko; Sergii Skakun; Oleksii Kravchenko; Oleksii Kryvobok; Andrii Shelestov; Andrii Kolotii; Olga Kussul; Alla Lavrenyuk

2013-01-01T23:59:59.000Z

105

2007 National Hurricane Center Forecast Verification Report James L. Franklin  

E-Print Network [OSTI]

storms 17 4. Genesis Forecasts 17 5. Summary and Concluding Remarks 18 a. Atlantic Summary 18 statistical models, provided the best intensity guidance at each time period. The 2007 season marked the first

106

Foundations and Trends R Vol. 4, No. 3 (2009) 313420  

E-Print Network [OSTI]

Reception Diagrams 333 2.6 Outlook 334 3 Scheduling Without Power Control 335 3.1 Complexity in the Physical Model 335 3.2 Diversity Scheduling 344 3.3 Approximative Scheduling 351 3.4 Outlook 360 4 Scheduling With Power Control 362 4.1 The Power of Power Control 362 #12;4.2 Feasibility 365 4.3 Oblivious Power

107

Annual Energy Outlook Forecast Evaluation  

Gasoline and Diesel Fuel Update (EIA)

by Esmeralda Sanchez by Esmeralda Sanchez Errata -(7/14/04) The Office of Integrated Analysis and Forecasting has produced an annual evaluation of the accuracy of the Annual Energy Outlook (AEO) since 1996. Each year, the forecast evaluation expands on the prior year by adding the projections from the most recent AEO and the most recent historical year of data. The Forecast Evaluation examines the accuracy of AEO forecasts dating back to AEO82 by calculating the average absolute forecast errors for each of the major variables for AEO82 through AEO2003. The average absolute forecast error, which for the purpose of this report will also be referred to simply as "average error" or "forecast error", is computed as the simple mean, or average, of all the absolute values of the percent errors, expressed as the percentage difference between the Reference Case projection and actual historic value, shown for every AEO and for each year in the forecast horizon (for a given variable). The historical data are typically taken from the Annual Energy Review (AER). The last column of Table 1 provides a summary of the most recent average absolute forecast errors. The calculation of the forecast error is shown in more detail in Tables 2 through 18. Because data for coal prices to electric generating plants were not available from the AER, data from the Monthly Energy Review (MER), July 2003 were used.

108

Thermodynamics of the Magnetite-Ulvspinel (Fe3O4-Fe2TiO4...  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

the Magnetite-Ulvspinel (Fe3O4-Fe2TiO4) Solid Solution. Thermodynamics of the Magnetite-Ulvspinel (Fe3O4-Fe2TiO4) Solid Solution. Abstract: The thermodynamics of mixing...

109

A Comparison of Precipitation Forecast Skill between Small Convection-Allowing and Large Convection-Parameterizing Ensembles  

E-Print Network [OSTI]

-km grid-spacing (ENS4) and a 15-member, 20-km grid-spacing (ENS20) Weather Research and Forecasting of various precipitation skill metrics for probabilistic and deterministic forecasts reveals that ENS4 Centre for Medium-Range Weather Forecasts (ECMWF; Molteni et al. 1996) Ensemble Prediction System

Xue, Ming

110

Alternative Fuel News Volume 4 No 3  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

05 05 Bus Futures Bus Futures A look at the choices for transit agencies Plus: Refuse Haulers Carry More Than Trash Inside: Prius hits U.S. market ALTERNATIVE FUEL NEWS U. S. D E P A R T M E N T o f E N E R G Y Vol. 4 - No. 3 An Official Publication of the Clean Cities Network and the Alternative Fuels Data Center From the Office of Energy Efficiency and Renewable Energy ear Clean Cities Stakeholders: As we head into fall and the temperatures start to cool, the energy industry is heating up. The high price of oil and our nation's dependence on imports continue to make headlines, and for the first time in a long while, the issue of a national energy policy is making waves. October was also Energy Awareness Month, and Secretary Richardson kicked off the celebration at a press event at

111

Microsoft Word - Figure_3_4.doc  

Gasoline and Diesel Fuel Update (EIA)

7 7 None 1-15,000 15,001-100,000 100,001-200,000 200,001-500,000 500,001-and over WA ID MT OR CA NV UT AZ NM CO WY ND SD MN WI NE IA KS MO TX IL IN OH MI OK AR TN WV VA KY MD PA WI NY VT NH MA CT ME RI NJ DE DC NC SC GA AL MS LA FL HI AK GOM 0 1 2 3 4 5 6 7 T e x a s G u l f o f M e x i c o N e w M e x i c o O k l a h o m a W y o m i n g L o u i s i a n a C o l o r a d o A l a s k a K a n s a s A l a b a m a A l l O t h e r S t a t e s Trillion Cubic Feet 0 30 60 90 120 150 180 Billion Cubic Meters 2002 2003 2002 Figure 4. Marketed Production of Natural Gas in Selected States and the Gulf of Mexico, 2002-2003 Figure 3. Marketed Production of Natural Gas in the United States and the Gulf of Mexico, 2003 (Million Cubic Feet) GOM = Gulf of Mexico Sources: Energy Information Administration (EIA), Form EIA-895, "Monthly and Annual Quantity and Value of Natural Gas Report," and the United States Mineral Management

112

Microsoft Word - Figure_3_4.doc  

Gasoline and Diesel Fuel Update (EIA)

7 7 0 1 2 3 4 5 6 7 T e x a s G u l f o f M e x i c o O k l a h o m a N e w M e x i c o W y o m i n g L o u i s i a n a C o l o r a d o A l a s k a K a n s a s C a l i f o r n i a A l l O t h e r S t a t e s Trillion Cubic Feet 0 30 60 90 120 150 180 Billion Cubic Meters 2003 2004 2003 Figure 4. Marketed Production of Natural Gas in Selected States and the Gulf of Mexico, 2003-2004 GOM = Gulf of Mexico Sources: Energy Information Administration (EIA), Form EIA -895, "Monthly Quantity and Value of Natural Gas Report," and the United States Mineral Management Service. Sources: Energy Information Administration (EIA), Form EIA -895, "Monthly Quantity and Value of Natural Gas Report," and the United States Mineral Management Service. None 1-15,000 15,001-100,000 100,001-200,000 200,001-500,000 500,001-and over

113

Price forecasting for notebook computers.  

E-Print Network [OSTI]

??This paper proposes a four-step approach that uses statistical regression to forecast notebook computer prices. Notebook computer price is related to constituent features over a (more)

Rutherford, Derek Paul

2012-01-01T23:59:59.000Z

114

Ensemble Forecasts and their Verification  

E-Print Network [OSTI]

· Ensemble forecast verification ­ Performance metrics: Brier Score, CRPSS · New concepts and developments of weather Sources: Insufficient spatial resolution, truncation errors in the dynamical equations

Maryland at College Park, University of

115

Data:16e3a087-a3df-4bd4-bcd3-c9944339aebb | Open Energy Information  

Open Energy Info (EERE)

a087-a3df-4bd4-bcd3-c9944339aebb a087-a3df-4bd4-bcd3-c9944339aebb No revision has been approved for this page. It is currently under review by our subject matter experts. Jump to: navigation, search Loading... 1. Basic Information 2. Demand 3. Energy << Previous 1 2 3 Next >> Basic Information Utility name: Salmon River Electric Coop Inc Effective date: 2006/02/01 End date if known: Rate name: Irrigation -Large 30 KW or greater Sector: Commercial Description: The type of service provided under this schedule is three phase, at secondary or primary voltage and supplied through one meter at one point of delivery. If service is provided at primary voltage, the contract for service shall specify the point of delivery, establish all metering costs to be paid by the member, and delineate ownership and control of such facilities.

116

UNCERTAINTY IN THE GLOBAL FORECAST SYSTEM  

SciTech Connect (OSTI)

We validated one year of Global Forecast System (GFS) predictions of surface meteorological variables (wind speed, air temperature, dewpoint temperature, air pressure) over the entire planet for forecasts extending from zero hours into the future (an analysis) to 36 hours. Approximately 12,000 surface stations world-wide were included in this analysis. Root-Mean-Square- Errors (RMSE) increased as the forecast period increased from zero to 36 hours, but the initial RMSE were almost as large as the 36 hour forecast RMSE for all variables. Typical RMSE were 3 C for air temperature, 2-3mb for sea-level pressure, 3.5 C for dewpoint temperature and 2.5 m/s for wind speed. Approximately 20-40% of the GFS errors can be attributed to a lack of resolution of local features. We attribute the large initial RMSE for the zero hour forecasts to the inability of the GFS to resolve local terrain features that often dominate local weather conditions, e.g., mountain- valley circulations and sea and land breezes. Since the horizontal resolution of the GFS (about 1{sup o} of latitude and longitude) prevents it from simulating these locally-driven circulations, its performance will not improve until model resolution increases by a factor of 10 or more (from about 100 km to less than 10 km). Since this will not happen in the near future, an alternative for the near term to improve surface weather analyses and predictions for specific points in space and time would be implementation of a high-resolution, limited-area mesoscale atmospheric prediction model in regions of interest.

Werth, D.; Garrett, A.

2009-04-15T23:59:59.000Z

117

Review/Verify Strategic Skills Needs/Forecasts/Future Mission...  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

ReviewVerify Strategic Skills NeedsForecastsFuture Mission Shifts Annual Lab Plan (1-10 yrs) Fermilab Strategic Agenda (2-5 yrs) Sector program Execution Plans (1-3...

118

Application of an Improved SVM Algorithm for Wind Speed Forecasting  

Science Journals Connector (OSTI)

An improved Support Vector Machine (SVM) algorithm is used to forecast wind in Doubly Fed Induction Generator (DFIG) wind power system without aerodromometer. The ... Validation (CV) method. Finally, 3.6MW DFIG w...

Huaqiang Zhang; Xinsheng Wang; Yinxiao Wu

2011-01-01T23:59:59.000Z

119

Diagnosing Forecast Errors in Tropical Cyclone Motion  

Science Journals Connector (OSTI)

This paper reports on the development of a diagnostic approach that can be used to examine the sources of numerical model forecast error that contribute to degraded tropical cyclone (TC) motion forecasts. Tropical cyclone motion forecasts depend ...

Thomas J. Galarneau Jr.; Christopher A. Davis

2013-02-01T23:59:59.000Z

120

Radiation fog forecasting using a 1-dimensional model  

E-Print Network [OSTI]

measuring site (Molly Caren), the soil moisture measuring site (Wilmington), and (b) location of the forecast site (Ohio River Basin near Cincinnati including Lunken airport) . . 23 3 An example of a COBEL configuration file for 25 August 1996, showing... measuring site (Molly Caren), the soil moisture measuring site (Wilmington), and (b) location of the forecast site (Ohio River Basin near Cincinnati including Lunken airport) . . 23 3 An example of a COBEL configuration file for 25 August 1996, showing...

Peyraud, Lionel

2012-06-07T23:59:59.000Z

Note: This page contains sample records for the topic "forecast 4 3" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


121

Vision 2023: Forecasting Turkey's natural gas demand between 2013 and 2030  

Science Journals Connector (OSTI)

Natural gas is the primary source for electricity production in Turkey. However, Turkey does not have indigenous resources and imports more than 98.0% of the natural gas it consumes. In 2011, more than 20.0% of Turkey's annual trade deficit was due to imported natural gas, estimated at US$ 20.0 billion. Turkish government has very ambitious targets for the country's energy sector in the next decade according to the Vision 2023 agenda. Previously, we have estimated that Turkey's annual electricity demand would be 530,000GWh at the year 2023. Considering current energy market dynamics it is almost evident that a substantial amount of this demand would be supplied from natural gas. However, meticulous analysis of the Vision 2023 goals clearly showed that the information about the natural gas sector is scarce. Most importantly there is no demand forecast for natural gas in the Vision 2023 agenda. Therefore, in this study the aim was to generate accurate forecasts for Turkey's natural gas demand between 2013 and 2030. For this purpose, two semi-empirical models based on econometrics, gross domestic product (GDP) at purchasing power parity (PPP) per capita, and demographics, population change, were developed. The logistic equation, which can be used for long term natural gas demand forecasting, and the linear equation, which can be used for medium term demand forecasting, fitted to the timeline series almost seamlessly. In addition, these two models provided reasonable fits according to the mean absolute percentage error, MAPE %, criteria. Turkey's natural gas demand at the year 2030 was calculated as 76.8 billion m3 using the linear model and 83.8 billion m3 based on the logistic model. Consequently, found to be in better agreement with the official Turkish petroleum pipeline corporation (BOTAS) forecast, 76.4 billion m3, than results published in the literature.

Mehmet Melikoglu

2013-01-01T23:59:59.000Z

122

Magnetism of NiMn2O4-Fe3O4 spinel interfaces  

E-Print Network [OSTI]

Magnetism of NiMn 2 O 4 Fe 3 O 4 spinel interfaces B. B.2. Element-specific magnetism of Fe 3 O 4 /NMO interface inin these structures, 6 the magnetism near the isostructural

Nelson-Cheeseman, B. B.

2007-01-01T23:59:59.000Z

123

Short-Term World Oil Price Forecast  

Gasoline and Diesel Fuel Update (EIA)

4 4 Notes: This graph shows monthly average spot West Texas Intermediate crude oil prices. Spot WTI crude oil prices peaked last fall as anticipated boosts to world supply from OPEC and other sources did not show up in actual stocks data. So where do we see crude oil prices going from here? Crude oil prices are expected to be about $28-$30 per barrel for the rest of this year, but note the uncertainty bands on this projection. They give an indication of how difficult it is to know what these prices are going to do. Also, EIA does not forecast volatility. This relatively flat forecast could be correct on average, with wide swings around the base line. Let's explore why we think prices will likely remain high, by looking at an important market barometer - inventories - which measures the

124

Microsoft Word - CX-B3S4-WhiteBluffs_Benton-B3S4_Reroute_FY14...  

Broader source: Energy.gov (indexed) [DOE]

Clearance Memorandum Mark Korsness Project Manager - TEP-TPP-3 Proposed Action: B3S4-White Bluffs 1 and Benton-B3S4 1 Transmission Line Reroute PP&A Project No.: 2907...

125

Project Profile: Forecasting and Influencing Technological Progress...  

Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

Forecasting and Influencing Technological Progress in Solar Energy Project Profile: Forecasting and Influencing Technological Progress in Solar Energy Logos of the University of...

126

Forecasting with adaptive extended exponential smoothing  

Science Journals Connector (OSTI)

Much of product level forecasting is based upon time series techniques. However, traditional time series forecasting techniques have offered either smoothing constant adaptability or consideration of various t...

John T. Mentzer Ph.D.

127

Electricity price forecasting in a grid environment.  

E-Print Network [OSTI]

??Accurate electricity price forecasting is critical to market participants in wholesale electricity markets. Market participants rely on price forecasts to decide their bidding strategies, allocate (more)

Li, Guang, 1974-

2007-01-01T23:59:59.000Z

128

Energy Department Forecasts Geothermal Achievements in 2015 ...  

Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

Forecasts Geothermal Achievements in 2015 Energy Department Forecasts Geothermal Achievements in 2015 The 40th annual Stanford Geothermal Workshop in January featured speakers in...

129

PC3Q510NIP0F1/4 PC3Q510NIP0F1/4  

E-Print Network [OSTI]

+5V+5V +5V +5V +5V +5V +5V +5V +5V +5V LM3391/4 LM3391/4 LM3391/4 LM3391/4 LM3391/4 LM3391/4 LM3391/4 red led +5V+5V red led red led +5V+5V+5V red led +5V+5V red led +2V LM3391/4 LM3391/4 LM3391/4 LM3391/4 LM3391/4 LM3391/4 LM3391/4 +5V LM3391/4 red led red led red led PC3Q510NIP0F1/4 PC3Q510NIP0F1/4 PC3Q

Evans, Hal

130

Annual Energy Outlook Forecast Evaluation  

Gasoline and Diesel Fuel Update (EIA)

Annual Energy Outlook Forecast Evaluation Annual Energy Outlook Forecast Evaluation Annual Energy Outlook Forecast Evaluation by Susan H. Holte In this paper, the Office of Integrated Analysis and Forecasting (OIAF) of the Energy Information Administration (EIA) evaluates the projections published in the Annual Energy Outlook (AEO), (1) by comparing the projections from the Annual Energy Outlook 1982 through the Annual Energy Outlook 2001 with actual historical values. A set of major consumption, production, net import, price, economic, and carbon dioxide emissions variables are included in the evaluation, updating similar papers from previous years. These evaluations also present the reasons and rationales for significant differences. The Office of Integrated Analysis and Forecasting has been providing an

131

Annual Energy Outlook Forecast Evaluation  

Gasoline and Diesel Fuel Update (EIA)

Title of Paper Annual Energy Outlook Forecast Evaluation Title of Paper Annual Energy Outlook Forecast Evaluation by Susan H. Holte OIAF has been providing an evaluation of the forecasts in the Annual Energy Outlook (AEO) annually since 1996. Each year, the forecast evaluation expands on that of the prior year by adding the most recent AEO and the most recent historical year of data. However, the underlying reasons for deviations between the projections and realized history tend to be the same from one evaluation to the next. The most significant conclusions are: Natural gas has generally been the fuel with the least accurate forecasts of consumption, production, and prices. Natural gas was the last fossil fuel to be deregulated following the strong regulation of energy markets in the 1970s and early 1980s. Even after deregulation, the behavior

132

A group housing society ontology in Swoop 2.3 Beta 4 and Protege 3.4.4  

Science Journals Connector (OSTI)

Ontology creation using various editors like Protg and SWOOP plays a significant role in Semantic Web. In this paper, we illustrate the creation of a housing society ontology viz, 'Jawaharlal CGHS ontology' using Swoop and Protg, the most commonly used ontology editors. We are using Swoop 2.3 Beta 4 editor where super class and sub class hierarchy and instances have been presented with the query retrieval process using 'Fly the MotherShip' option in advanced tab and show the 'general concept inclusion axiom', 'class expression table' for relations in classes and subclasses. Then, the same ontology is created using Protg 3.4.4 and finally illustrates using the OWL code to obtain ontology class hierarchy (subject/object relationship) in Protege by executing a SPARQL query.

Sanjay Kumar Malik; S.A.M. Rizvi

2014-01-01T23:59:59.000Z

133

Buildings Energy Data Book: 3.4 Commercial Environmental Emissions  

Buildings Energy Data Book [EERE]

1 1 Carbon Dioxide Emissions for U.S. Commercial Buildings, by Year (Million Metric Tons) (1) Commercial U.S. Site Growth Rate Growth Rate Com.% Com.% Fossil Electricity Total 2010-Year Total 2010-Year of Total U.S. of Total Global 1980 245 409 653 4,723 14% 3.5% 1981 226 427 653 4,601 14% 3.6% 1982 226 426 653 4,357 15% 3.6% 1983 226 434 659 4,332 15% 3.6% 1984 236 455 691 4,561 15% 3.6% 1985 217 477 695 4,559 15% 3.6% 1986 216 481 698 4,564 15% 3.5% 1987 220 503 723 4,714 15% 3.5% 1988 230 531 761 4,939 15% 3.6% 1989 226 543 769 4,983 15% 3.6% 1990 227 566 793 5,039 16% 3.7% 1991 228 567 794 4,996 16% 3.7% 1992 229 567 796 5,093 16% 3.7% 1993 226 593 819 5,185 16% 3.8% 1994 229 605 833 5,258 16% 3.8% 1995 231 620 851 5,314 16% 3.8% 1996 240 643 883 5,501 16% 3.9% 1997 240 686 926 5,575 17% 4.0% 1998 223 724 947 5,622 17% 4.1% 1999 226 735 960 5,682 17% 4.1% 2000 239 783 1,022 5,867 17% 4.3% 2001 230 797 1,027

134

475 C4H8OS Tetrahydrothiophene-3-ol  

Science Journals Connector (OSTI)

It contains molecular constants (high-resolution spectroscopic data) of C4H8OS Tetrahydrothiophene-3-ol

J. Demaison

2011-01-01T23:59:59.000Z

135

Correcting and combining time series forecasters  

Science Journals Connector (OSTI)

Combined forecasters have been in the vanguard of stochastic time series modeling. In this way it has been usual to suppose that each single model generates a residual or prediction error like a white noise. However, mostly because of disturbances not ... Keywords: Artificial neural networks hybrid systems, Linear combination of forecasts, Maximum likelihood estimation, Time series forecasters, Unbiased forecasters

Paulo Renato A. Firmino; Paulo S. G. De Mattos Neto; Tiago A. E. Ferreira

2014-02-01T23:59:59.000Z

136

NOAA Harmful Algal Bloom Operational Forecast System Southwest Florida Forecast Region Maps  

E-Print Network [OSTI]

Bloom Operational Forecast System Southwest Florida Forecast Region Maps 0 5 102.5 Miles #12;Bay Harmful Algal Bloom Operational Forecast System Southwest Florida Forecast Region Maps 0 5 102.5 Miles #12 N Collier N Charlotte S Charlotte NOAA Harmful Algal Bloom Operational Forecast System Southwest

137

Buildings Energy Data Book: 3.4 Commercial Environmental Emissions  

Buildings Energy Data Book [EERE]

4 4 2025 Commercial Buildings Energy End-Use Carbon Dioxide Emissions Splits, by Fuel Type (Million Metric Tons) (1) Natural Petroleum Gas Distil. Resid. LPG Oth(2) Total Coal Electricity (3) Total Percent Lighting 171.2 171.2 16.1% Space Heating 89.4 7.7 6.3 0.4 14.3 5.5 25.7 135.0 12.7% Ventilation 94.4 94.4 8.9% Space Cooling 1.8 81.5 83.3 7.8% Electronics 63.8 63.8 6.0% Refrigeration 53.7 53.7 5.1% Computers 31.2 31.2 2.9% Water Heating 27.5 2.3 2.3 14.0 43.7 4.1% Cooking 11.0 3.5 14.5 1.4% Other (4) 25.3 0.9 9.3 3.8 14.0 177.4 216.8 20.4% Adjust to SEDS (5) 30.9 13.4 13.4 109.4 153.7 14.5% Total 185.8 24.3 6.3 9.3 4.2 44.0 5.5 100% Note(s): Source(s): 825.9 1,061.3 1) Emissions assume complete combustion from energy consumption, excluding gas flaring, coal mining, and cement production. Emissions exclude wood since it is assumed that the carbon released from combustion is reabsorbed in a future carbon cycle. 2) Includes kerosene

138

Wave height forecasting in Dayyer, the Persian Gulf  

Science Journals Connector (OSTI)

Forecasting of wave parameters is necessary for many marine and coastal operations. Different forecasting methodologies have been developed using the wind and wave characteristics. In this paper, artificial neural network (ANN) as a robust data learning method is used to forecast the wave height for the next 3, 6, 12 and 24h in the Persian Gulf. To determine the effective parameters, different models with various combinations of input parameters were considered. Parameters such as wind speed, direction and wave height of the previous 3h, were found to be the best inputs. Furthermore, using the difference between wave and wind directions showed better performance. The results also indicated that if only the wind parameters are used as model inputs the accuracy of the forecasting increases as the time horizon increases up to 6h. This can be due to the lower influence of previous wave heights on larger lead time forecasting and the existing lag between the wind and wave growth. It was also found that in short lead times, the forecasted wave heights primarily depend on the previous wave heights, while in larger lead times there is a greater dependence on previous wind speeds.

B. Kamranzad; A. Etemad-Shahidi; M.H. Kazeminezhad

2011-01-01T23:59:59.000Z

139

Lanes 1 & 2 Lanes 3 & 4  

E-Print Network [OSTI]

. ** THURSFRISATSUN ** Please be advised that the pool cannot be open for recreational swimming without lifeguard Lanes 5 & 6 5:00PM4:00PM Weekly Pool Maintenance Furman PAC Pool Hours of Use / Lane Reservations WED 1:00PM TUES 9:00AM MON ** You can also visit www.FurmanFitness.com for the latest pool schedules

140

Volume 71, Numbers 3 & 4 (complete)  

E-Print Network [OSTI]

;#22;#16;#4;#24;#29;#7; ................................................. #5;#11; Francis J. Bremer, Building a New Jerusalem: John Davenport, a Puritan in #31;ree Worlds. Review by #8;#22;#30;#12; #24;. #25;#12;#19;#26;#22;#30;#23; ........................ #5;#11;#14; Eamon Darcy, #31;e Irish Rebellion of 1641...

Dickson, Donald

2013-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "forecast 4 3" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


141

Price forecasting for notebook computers  

E-Print Network [OSTI]

This paper proposes a four-step approach that uses statistical regression to forecast notebook computer prices. Notebook computer price is related to constituent features over a series of time periods, and the rates of change in the influence...

Rutherford, Derek Paul

2012-06-07T23:59:59.000Z

142

Forecasting phenology under global warming  

Science Journals Connector (OSTI)

...Forrest Forecasting phenology under global warming Ines Ibanez 1 * Richard B. Primack...and site-specific responses to global warming. We found that for most species...climate change|East Asia, global warming|growing season, hierarchical...

2010-01-01T23:59:59.000Z

143

Demand Forecasting of New Products  

E-Print Network [OSTI]

Keeping Unit or SKU) employing attribute analysis techniques. The objective of this thesis is to improve Abstract This thesis is a study into the demand forecasting of new products (also referred to as Stock

Sun, Yu

144

Data:F8e4daa4-abe4-4f69-aee6-9ec4e61a3dce | Open Energy Information  

Open Energy Info (EERE)

daa4-abe4-4f69-aee6-9ec4e61a3dce daa4-abe4-4f69-aee6-9ec4e61a3dce No revision has been approved for this page. It is currently under review by our subject matter experts. Jump to: navigation, search Loading... 1. Basic Information 2. Demand 3. Energy << Previous 1 2 3 Next >> Basic Information Utility name: City of West Point, Mississippi (Utility Company) Effective date: 2012/11/01 End date if known: Rate name: Seasonal Demand and Energy Manufacturing- SMSB Sector: Industrial Description: Source or reference: ISU Documentation Source Parent: Comments Applicability Demand (kW) Minimum (kW): Maximum (kW): History (months): Energy (kWh) Minimum (kWh): Maximum (kWh): History (months): Service Voltage Minimum (V): Maximum (V): Character of Service Voltage Category: Phase Wiring: << Previous 1 2

145

Weather forecasting : the next generation : the potential use and implementation of ensemble forecasting  

E-Print Network [OSTI]

This thesis discusses ensemble forecasting, a promising new weather forecasting technique, from various viewpoints relating not only to its meteorological aspects but also to its user and policy aspects. Ensemble forecasting ...

Goto, Susumu

2007-01-01T23:59:59.000Z

146

3,3?,4?,5,5?-Pentahydroxyflavone is a potent inhibitor of amyloid ? fibril formation  

Science Journals Connector (OSTI)

The natural flavonoid fisetin (3,3?,4?,7-tetrahydroxyflavone) is neurotrophic and prevents fibril formation of amyloid ? protein (A?). It is a promising lead compound for the development of therapeutic drugs for Alzheimer's disease. To find even more effective drugs based on the structure of fisetin, we synthesized a series of fisetin analogues lacking the 7-hydroxyl group and compared their effects on A? fibril formation determined by the thioflavin T fluorescence assay. 3,3?,4?-Trihydroxyflavone and 3?,4?-dihydroxyflavone inhibited A? fibril formation more potently than fisetin or 3?,4?,7-trihydroxyflavone, suggesting that the 7-hydroxy group is not necessary for anti-amyloidogenic activity. 3,3?,4?,5?-Tetrahydroxyflavone and 3?,4?,5?-trihydroxyflavone inhibited A? fibril formation far more potently than 3,3?,4?-trihydroxyflavone and 3?,4?-dihydroxyflavone, suggesting that 3?,4?,5?-trihydroxyl group of the B ring is crucial for the anti-amyloidogenic activity of flavonoids. Based on the structureactivity relationship, we synthesized 3,3?,4?,5,5?-pentahydroxyflavone, and confirmed that this compound is the most potent inhibitor of A? fibril formation among fisetin analogues that have been tested. Cytotoxicity assay using rat hippocampal neuron cultures demonstrated that A? preincubated with 3,3?,4?,5,5?-pentahydroxyflavone was significantly less toxic than A? preincubated with vehicle. 3,3?,4?,5,5?-Pentahydroxyflavone could be a new therapeutic drug candidate for the treatment of Alzheimer's disease.

Hiroko Ushikubo; Sayaka Watanabe; Yui Tanimoto; Kazuho Abe; Aiki Hiza; Takahiro Ogawa; Tomohiro Asakawa; Toshiyuki Kan; Tatsuhiro Akaishi

2012-01-01T23:59:59.000Z

147

Exponential smoothing model selection for forecasting  

Science Journals Connector (OSTI)

Applications of exponential smoothing to forecasting time series usually rely on three basic methods: simple exponential smoothing, trend corrected exponential smoothing and a seasonal variation thereof. A common approach to selecting the method appropriate to a particular time series is based on prediction validation on a withheld part of the sample using criteria such as the mean absolute percentage error. A second approach is to rely on the most appropriate general case of the three methods. For annual series this is trend corrected exponential smoothing: for sub-annual series it is the seasonal adaptation of trend corrected exponential smoothing. The rationale for this approach is that a general method automatically collapses to its nested counterparts when the pertinent conditions pertain in the data. A third approach may be based on an information criterion when maximum likelihood methods are used in conjunction with exponential smoothing to estimate the smoothing parameters. In this paper, such approaches for selecting the appropriate forecasting method are compared in a simulation study. They are also compared on real time series from the M3 forecasting competition. The results indicate that the information criterion approaches provide the best basis for automated method selection, the Akaike information criteria having a slight edge over its information criteria counterparts.

Baki Billah; Maxwell L. King; Ralph D. Snyder; Anne B. Koehler

2006-01-01T23:59:59.000Z

148

Wind Forecast Improvement Project Southern Study Area Final Report...  

Office of Environmental Management (EM)

Wind Forecast Improvement Project Southern Study Area Final Report Wind Forecast Improvement Project Southern Study Area Final Report Wind Forecast Improvement Project Southern...

149

Applying Bayesian Forecasting to Predict New Customers' Heating Oil Demand.  

E-Print Network [OSTI]

??This thesis presents a new forecasting technique that estimates energy demand by applying a Bayesian approach to forecasting. We introduce our Bayesian Heating Oil Forecaster (more)

Sakauchi, Tsuginosuke

2011-01-01T23:59:59.000Z

150

Buildings Energy Data Book: 3.4 Commercial Environmental Emissions  

Buildings Energy Data Book [EERE]

2 2 2010 Commercial Buildings Energy End-Use Carbon Dioxide Emissions Splits, by Fuel Type (Million Metric Tons) (1) Natural Petroleum Gas Distil. Resid. LPG Oth(2) Total Coal Electricity (3) Total Percent Lighting 211.9 211.9 20.4% Space Heating 87.4 10.2 6.7 0.3 17.3 5.6 50.5 160.7 15.5% Space Cooling 2.3 149.1 151.3 14.6% Ventilation 95.2 95.2 9.2% Refrigeration 69.1 69.1 6.7% Electronics 46.4 46.4 4.5% Water Heating 23.2 2.0 2.0 16.2 41.4 4.0% Computers 37.7 37.7 3.6% Cooking 9.5 4.1 13.6 1.3% Other (4) 15.8 0.9 9.0 3.8 13.7 122.0 151.5 14.6% Adjust to SEDS (5) 36.2 18.4 18.4 2.8 57.3 5.5% Total 174.4 31.5 6.7 9.0 4.1 51.3 5.6 100% Note(s): Source(s): 805.0 1,036.3 1) Emissions assume complete combustion from energy consumption, excluding gas flaring, coal mining, and cement production. Emissions exclude wood since it is assumed that the carbon released from combustion is reabsorbed in a future carbon cycle. Carbon emissions

151

ORNL trip (3/25~4/1)  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Methane Recovery from Hydrate-bearing Sediments Methane Recovery from Hydrate-bearing Sediments Final Scientific/Technical Report (Fall 2006 - Spring 2011) Submitted By: J. Carlos Santamarina and Costas Tsouris November 3, 2011 Funding Number: DE-FC26-06NT42963 Georgia Institute of Technology Atlanta, GA 30332-0355 Disclaimer: This report was prepared as an account of work sponsored by an agency of the United States Government. Neither the United States Government nor any agency thereof, nor any of their employees, makes any warranty, express or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, or represents that its use would not infringe privately owned rights. Reference herein to any specific commercial product,

152

HP Angle Light 4x3 Blue  

Broader source: Energy.gov (indexed) [DOE]

Hewlett-Packard Development Company, L.P. Hewlett-Packard Development Company, L.P. 1 © Copyright 2010 Hewlett-Packard Development Company, L.P. Garett Montgomery DVLabs, TippingPoint 18May2010 SCADA: THREAT LANDSCAPE © Copyright 2010 Hewlett-Packard Development Company, L.P. 2 GARETT MONTGOMERY - US Navy: Electronics Technician (Communications) - Network Security at Naval Postgraduate School - Masters Degree in Information Assurance * CISSP, CWSP, GSNA, SnortCP, C|EH, etc. - Security Researcher at TippingPoint DVLabs * Focusing on SCADA * TippingPoint is a leading provider of Intrusion Prevention Systems (IPS). * www.tippingpoint.com * HP purchased TippingPoint as part of 3com acquisition, April 2010. * http://www.hp.com/hpinfo/newsroom/press/2009/091111xa.html © Copyright 2010 Hewlett-Packard Development Company, L.P.

153

Table 4-3 Site Wide Environmental Management Matrix  

Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

Table 4-3. Site-Wide Environmental Management Matrix National Renewable Energy Laboratory's South Table Mountain Complex FINAL POTENTIAL ISSUES PROGRAM OF IMPROVEMENTS Off- Site...

154

RELAP5-3D V. 4.X.X  

Energy Science and Technology Software Center (OSTI)

000191MLTPL01 NON-NRC FUNDED RELAP5-3D VERSION 4.x.x SOFTWARE REACTOR EXCURSION AND LEAK ANALYSIS PACKAGE - THREE DIMENSIONAL

155

Characterization for strontium titinateFe3O4 and TiNFe3O4 interfaces A. Lussiera)  

E-Print Network [OSTI]

Characterization for strontium titinate?Fe3O4 and TiN?Fe3O4 interfaces A. Lussiera) and Y. U The interface formation between different thicknesses of strontium titanate (SrTiO3) or titanium nitride Ti

Idzerda, Yves

156

Solar Energy Market Forecast | Open Energy Information  

Open Energy Info (EERE)

Solar Energy Market Forecast Solar Energy Market Forecast Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Solar Energy Market Forecast Agency/Company /Organization: United States Department of Energy Sector: Energy Focus Area: Solar Topics: Market analysis, Technology characterizations Resource Type: Publications Website: giffords.house.gov/DOE%20Perspective%20on%20Solar%20Market%20Evolution References: Solar Energy Market Forecast[1] Summary " Energy markets / forecasts DOE Solar America Initiative overview Capital market investments in solar Solar photovoltaic (PV) sector overview PV prices and costs PV market evolution Market evolution considerations Balance of system costs Silicon 'normalization' Solar system value drivers Solar market forecast Additional resources"

157

Buildings Energy Data Book: 3.4 Commercial Environmental Emissions  

Buildings Energy Data Book [EERE]

5 5 2035 Commercial Buildings Energy End-Use Carbon Dioxide Emissions Splits, by Fuel Type (Million Metric Tons) (1) Natural Petroleum Gas Distil. Resid. LPG Oth(2) Total Coal Electricity (3) Total Percent Lighting 179.6 179.6 15.5% Space Heating 87.3 6.7 6.6 0.4 13.7 5.5 25.5 132.0 11.4% Ventilation 100.7 100.7 8.7% Space Cooling 1.7 84.1 85.8 7.4% Electronics 72.3 72.3 6.2% Refrigeration 55.6 55.6 4.8% Water Heating 28.8 2.5 2.5 13.3 44.7 3.9% Computers 33.6 33.6 2.9% Cooking 11.9 3.4 15.2 1.3% Other (4) 42.8 1.0 9.8 4.2 14.9 227.3 285.0 24.6% Adjust to SEDS (5) 21.3 13.1 13.1 120.5 154.9 13.4% Total 193.8 23.3 6.6 9.8 4.6 44.3 5.5 100% Note(s): Source(s): 915.8 1,159.3 1) Emissions assume complete combustion from energy consumption, excluding gas flaring, coal mining, and cement production. Emissions exclude wood since it is assumed that the carbon released from combustion is reabsorbed in a future carbon cycle. 2) Includes kerosene

158

CLONTECHInnovative MATCHMAKER GAL4 Two-Hybrid System 3  

E-Print Network [OSTI]

CLONTECHInnovative Tools to Accelerate Discovery MATCHMAKER GAL4 Two-Hybrid System 3 & Libraries FOR RESEARCH USE ONLY #12;MATCHMAKER GAL4 Two-Hybrid System 3 & Libraries User Manual CLONTECH Laboratories Two-Hybrid Screen 8 III. Lists of Components 9 IV. Additional Materials Required 10 V. Yeast Strains

Erickson, F. Les

159

Summary Verification Measures and Their Interpretation for Ensemble Forecasts  

Science Journals Connector (OSTI)

Ensemble prediction systems produce forecasts that represent the probability distribution of a continuous forecast variable. Most often, the verification problem is simplified by transforming the ensemble forecast into probability forecasts for ...

A. Allen Bradley; Stuart S. Schwartz

2011-09-01T23:59:59.000Z

160

Annual Energy Outlook Forecast Evaluation  

Gasoline and Diesel Fuel Update (EIA)

by by Esmeralda Sanchez The Office of Integrated Analysis and Forecasting has been providing an evaluation of the forecasts in the Annual Energy Outlook (AEO) annually since 1996. Each year, the forecast evaluation expands on that of the prior year by adding the most recent AEO and the most recent historical year of data. However, the underlying reasons for deviations between the projections and realized history tend to be the same from one evaluation to the next. The most significant conclusions are: * Over the last two decades, there have been many significant changes in laws, policies, and regulations that could not have been anticipated and were not assumed in the projections prior to their implementation. Many of these actions have had significant impacts on energy supply, demand, and prices; however, the

Note: This page contains sample records for the topic "forecast 4 3" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


161

Aggregate vehicle travel forecasting model  

SciTech Connect (OSTI)

This report describes a model for forecasting total US highway travel by all vehicle types, and its implementation in the form of a personal computer program. The model comprises a short-run, econometrically-based module for forecasting through the year 2000, as well as a structural, scenario-based longer term module for forecasting through 2030. The short-term module is driven primarily by economic variables. It includes a detailed vehicle stock model and permits the estimation of fuel use as well as vehicle travel. The longer-tenn module depends on demographic factors to a greater extent, but also on trends in key parameters such as vehicle load factors, and the dematerialization of GNP. Both passenger and freight vehicle movements are accounted for in both modules. The model has been implemented as a compiled program in the Fox-Pro database management system operating in the Windows environment.

Greene, D.L.; Chin, Shih-Miao; Gibson, R. [Tennessee Univ., Knoxville, TN (United States)

1995-05-01T23:59:59.000Z

162

Communication of uncertainty in temperature forecasts  

Science Journals Connector (OSTI)

We used experimental economics to test whether undergraduate students presented with a temperature forecast with uncertainty information in a table and bar graph format were able to use the extra information to interpret a given forecast. ...

Pricilla Marimo; Todd R. Kaplan; Ken Mylne; Martin Sharpe

163

FORECASTING THE ROLE OF RENEWABLES IN HAWAII  

E-Print Network [OSTI]

FORECASTING THE ROLE OF RENEWABLES IN HAWAII Jayant SathayeFORECASTING THE ROLF OF RENEWABLES IN HAWAII J Sa and Henrythe Conservation Role of Renewables November 18, 1980 Page 2

Sathaye, Jayant

2013-01-01T23:59:59.000Z

164

Massachusetts state airport system plan forecasts.  

E-Print Network [OSTI]

This report is a first step toward updating the forecasts contained in the 1973 Massachusetts State System Plan. It begins with a presentation of the forecasting techniques currently available; it surveys and appraises the ...

Mathaisel, Dennis F. X.

165

Antarctic Satellite Meteorology: Applications for Weather Forecasting  

Science Journals Connector (OSTI)

For over 30 years, weather forecasting for the Antarctic continent and adjacent Southern Ocean has relied on weather satellites. Significant advancements in forecasting skill have come via the weather satellite. The advent of the high-resolution ...

Matthew A. Lazzara; Linda M. Keller; Charles R. Stearns; Jonathan E. Thom; George A. Weidner

2003-02-01T23:59:59.000Z

166

Forecasting Water Use in Texas Cities  

E-Print Network [OSTI]

In this research project, a methodology for automating the forecasting of municipal daily water use is developed and implemented in a microcomputer program called WATCAL. An automated forecast system is devised by modifying the previously...

Shaw, Douglas T.; Maidment, David R.

167

E-Print Network 3.0 - advanced air traffic Sample Search Results  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

air traffic Page: << < 1 2 3 4 5 > >> 1 Advances in Adaptive Data Analysis Vol. 2, No. 1 (2010) 8196 Summary: FORECASTING THE AIR TRAFFIC FOR NORTH-EAST INDIAN CITIES C....

168

CCPP-ARM Parameterization Testbed Model Forecast Data  

DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

Dataset contains the NCAR CAM3 (Collins et al., 2004) and GFDL AM2 (GFDL GAMDT, 2004) forecast data at locations close to the ARM research sites. These data are generated from a series of multi-day forecasts in which both CAM3 and AM2 are initialized at 00Z every day with the ECMWF reanalysis data (ERA-40), for the year 1997 and 2000 and initialized with both the NASA DAO Reanalyses and the NCEP GDAS data for the year 2004. The DOE CCPP-ARM Parameterization Testbed (CAPT) project assesses climate models using numerical weather prediction techniques in conjunction with high quality field measurements (e.g. ARM data).

Klein, Stephen

169

Data:F319e702-4ef4-4a4e-9bc5-abed3a4e456e | Open Energy Information  

Open Energy Info (EERE)

Data Data Edit with form History Facebook icon Twitter icon » Data:F319e702-4ef4-4a4e-9bc5-abed3a4e456e No revision has been approved for this page. It is currently under review by our subject matter experts. Jump to: navigation, search Loading... 1. Basic Information 2. Demand 3. Energy << Previous 1 2 3 Next >> Basic Information Utility name: Sand Mountain Electric Coop Effective date: 2013/05/01 End date if known: Rate name: Schedule GSA - General Power Service - Part 1 Sector: Commercial Description: Source or reference: Illinois State University Archives Source Parent: Comments Applicability Demand (kW) Minimum (kW): Maximum (kW): History (months): Energy (kWh) Minimum (kWh): Maximum (kWh): History (months): Service Voltage Minimum (V): Maximum (V): Character of Service

170

FORECAST VERIFICATION OF EXTREMES: USE OF EXTREME VALUE THEORY  

E-Print Network [OSTI]

1 FORECAST VERIFICATION OF EXTREMES: USE OF EXTREME VALUE THEORY Rick Katz Institute for Study on Extremes · Emil Gumbel (1891 ­ 1966) -- Pioneer in application of statistics of extremes "Il est impossible que l'improbable n'arrive jamais." #12;3 OUTLINE (1) Motivation (2) Conventional Methods (3) Extreme

Katz, Richard

171

FORECAST VERIFICATION OF EXTREMES: USE OF EXTREME VALUE THEORY  

E-Print Network [OSTI]

1 FORECAST VERIFICATION OF EXTREMES: USE OF EXTREME VALUE THEORY Rick Katz Institute for Study ON EXTREMES · Emil Gumbel (1891 ­ 1966) -- Pioneer in application of statistics of extremes "Il est impossible que l'improbable n'arrive jamais." #12;3 OUTLINE (1) Motivation (2) Conventional Methods (3) Extreme

Katz, Richard

172

4.3 CURRENT DIVERSE, GLOBALLY-ORIENTED SCIENCE AND ENGINEERING WORKFORCE 4.3.1 ALL SCOUT NANO EVENT  

E-Print Network [OSTI]

4.3 CURRENT DIVERSE, GLOBALLY-ORIENTED SCIENCE AND ENGINEERING WORKFORCE 4.3.1 ALL SCOUT NANO EVENT Zurich, IL, the NSEC hosted the first Boy Scout Nano Event in 2003. In 2005, the annual event with nearly 100 scouts and venturing crew members attended the event. The annual "All Scout Nano Event

Shull, Kenneth R.

173

Comparing NWS PoP Forecasts to Third-Party Providers  

Science Journals Connector (OSTI)

In this paper, the authors verify probability of precipitation (PoP) forecasts provided by the National Weather Service (NWS), The Weather Channel (TWC), and CustomWeather (CW). The n-day-ahead forecasts, where n ranges from 1 to 3 for the NWS, ...

J. Eric Bickel; Eric Floehr; Seong Dae Kim

2011-10-01T23:59:59.000Z

174

Energy demand forecasting: industry practices and challenges  

Science Journals Connector (OSTI)

Accurate forecasting of energy demand plays a key role for utility companies, network operators, producers and suppliers of energy. Demand forecasts are utilized for unit commitment, market bidding, network operation and maintenance, integration of renewable ... Keywords: analytics, energy demand forecasting, machine learning, renewable energy sources, smart grids, smart meters

Mathieu Sinn

2014-06-01T23:59:59.000Z

175

Annual Energy Outlook Forecast Evaluation  

Gasoline and Diesel Fuel Update (EIA)

Evaluation Evaluation Annual Energy Outlook Forecast Evaluation by Esmeralda Sanchez The Office of Integrated Analysis and Forecasting has been providing an evaluation of the forecasts in the Annual Energy Outlook (AEO) annually since 1996. Each year, the forecast evaluation expands on that of the prior year by adding the most recent AEO and the most recent historical year of data. However, the underlying reasons for deviations between the projections and realized history tend to be the same from one evaluation to the next. The most significant conclusions are: Over the last two decades, there have been many significant changes in laws, policies, and regulations that could not have been anticipated and were not assumed in the projections prior to their implementation. Many of these actions have had significant impacts on energy supply, demand, and prices; however, the impacts were not incorporated in the AEO projections until their enactment or effective dates in accordance with EIA's requirement to remain policy neutral and include only current laws and regulations in the AEO reference case projections.

176

Load Forecasting of Supermarket Refrigeration  

E-Print Network [OSTI]

energy system. Observed refrigeration load and local ambient temperature from a Danish su- permarket renewable energy, is increasing, therefore a flexible energy system is needed. In the present ThesisLoad Forecasting of Supermarket Refrigeration Lisa Buth Rasmussen Kongens Lyngby 2013 M.Sc.-2013

177

Essays on macroeconomics and forecasting  

E-Print Network [OSTI]

explanatory variables. Compared to Stock and Watson (2002)â??s models, the models proposed in this chapter can further allow me to select the factors structurally for each variable to be forecasted. I find advantages to using the structural dynamic factor...

Liu, Dandan

2006-10-30T23:59:59.000Z

178

A model for Long-term Industrial Energy Forecasting (LIEF)  

SciTech Connect (OSTI)

The purpose of this report is to establish the content and structural validity of the Long-term Industrial Energy Forecasting (LIEF) model, and to provide estimates for the model's parameters. The model is intended to provide decision makers with a relatively simple, yet credible tool to forecast the impacts of policies which affect long-term energy demand in the manufacturing sector. Particular strengths of this model are its relative simplicity which facilitates both ease of use and understanding of results, and the inclusion of relevant causal relationships which provide useful policy handles. The modeling approach of LIEF is intermediate between top-down econometric modeling and bottom-up technology models. It relies on the following simple concept, that trends in aggregate energy demand are dependent upon the factors: (1) trends in total production; (2) sectoral or structural shift, that is, changes in the mix of industrial output from energy-intensive to energy non-intensive sectors; and (3) changes in real energy intensity due to technical change and energy-price effects as measured by the amount of energy used per unit of manufacturing output (KBtu per constant $ of output). The manufacturing sector is first disaggregated according to their historic output growth rates, energy intensities and recycling opportunities. Exogenous, macroeconomic forecasts of individual subsector growth rates and energy prices can then be combined with endogenous forecasts of real energy intensity trends to yield forecasts of overall energy demand. 75 refs.

Ross, M. (Lawrence Berkeley Lab., CA (United States) Michigan Univ., Ann Arbor, MI (United States). Dept. of Physics Argonne National Lab., IL (United States). Environmental Assessment and Information Sciences Div.); Hwang, R. (Lawrence Berkeley Lab., CA (United States))

1992-02-01T23:59:59.000Z

179

A model for Long-term Industrial Energy Forecasting (LIEF)  

SciTech Connect (OSTI)

The purpose of this report is to establish the content and structural validity of the Long-term Industrial Energy Forecasting (LIEF) model, and to provide estimates for the model`s parameters. The model is intended to provide decision makers with a relatively simple, yet credible tool to forecast the impacts of policies which affect long-term energy demand in the manufacturing sector. Particular strengths of this model are its relative simplicity which facilitates both ease of use and understanding of results, and the inclusion of relevant causal relationships which provide useful policy handles. The modeling approach of LIEF is intermediate between top-down econometric modeling and bottom-up technology models. It relies on the following simple concept, that trends in aggregate energy demand are dependent upon the factors: (1) trends in total production; (2) sectoral or structural shift, that is, changes in the mix of industrial output from energy-intensive to energy non-intensive sectors; and (3) changes in real energy intensity due to technical change and energy-price effects as measured by the amount of energy used per unit of manufacturing output (KBtu per constant $ of output). The manufacturing sector is first disaggregated according to their historic output growth rates, energy intensities and recycling opportunities. Exogenous, macroeconomic forecasts of individual subsector growth rates and energy prices can then be combined with endogenous forecasts of real energy intensity trends to yield forecasts of overall energy demand. 75 refs.

Ross, M. [Lawrence Berkeley Lab., CA (United States)]|[Michigan Univ., Ann Arbor, MI (United States). Dept. of Physics]|[Argonne National Lab., IL (United States). Environmental Assessment and Information Sciences Div.; Hwang, R. [Lawrence Berkeley Lab., CA (United States)

1992-02-01T23:59:59.000Z

180

Forecasting-based SKU classification  

Science Journals Connector (OSTI)

Different spare parts are associated with different underlying demand patterns, which in turn require different forecasting methods. Consequently, there is a need to categorise stock keeping units (SKUs) and apply the most appropriate methods in each category. For intermittent demands, Croston's method (CRO) is currently regarded as the standard method used in industry to forecast the relevant inventory requirements; this is despite the bias associated with Croston's estimates. A bias adjusted modification to CRO (SyntetosBoylan Approximation, SBA) has been shown in a number of empirical studies to perform very well and be associated with a very robust behaviour. In a 2005 article, entitled On the categorisation of demand patterns published by the Journal of the Operational Research Society, Syntetos et al. (2005) suggested a categorisation scheme, which establishes regions of superior forecasting performance between CRO and SBA. The results led to the development of an approximate rule that is expressed in terms of fixed cut-off values for the following two classification criteria: the squared coefficient of variation of the demand sizes and the average inter-demand interval. Kostenko and Hyndman (2006) revisited this issue and suggested an alternative scheme to distinguish between CRO and SBA in order to improve overall forecasting accuracy. Claims were made in terms of the superiority of the proposed approach to the original solution but this issue has never been assessed empirically. This constitutes the main objective of our work. In this paper the above discussed classification solutions are compared by means of experimentation on more than 10,000 \\{SKUs\\} from three different industries. The results enable insights to be gained into the comparative benefits of these approaches. The trade-offs between forecast accuracy and other implementation related considerations are also addressed.

G. Heinecke; A.A. Syntetos; W. Wang

2013-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "forecast 4 3" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


181

Bright green-emitting, energy transfer and quantum cutting of Ba3Ln(PO4)3: Tb3+ (Ln = La, Gd) under VUV-UV excitation  

Science Journals Connector (OSTI)

Tb3+ doped Ba3Gd(PO4)3 and Ba3La(PO4)3 phosphors were synthesized using the traditional high temperature...

Hou, Dejian; Liang, Hongbin; Xie, Mubiao; Ding, Xuemei; Zhong, Jiuping; Su, Qiang; Tao, Ye; Huang, Yan; Gao, Zhenhua

2011-01-01T23:59:59.000Z

182

C3C4 Platform Chemicals Bioproduction Using Biomass  

Science Journals Connector (OSTI)

Platform chemicals composed of 34 carbons are group of chemicals that can be used as important precursors for making a variety of chemicals and materials, including solvents, fuels, polymers ... foods. At presen...

Emna Chaabouni; Saurabh Jyoti Sarma

2014-01-01T23:59:59.000Z

183

MA 165 EXAM 3 Fall 2009 Page 1/4  

E-Print Network [OSTI]

93 3: MW 0 4') iii .F/ it (m 11% 32);??? gr; Vim 5'36 A" Ti.) em ' we ... and points of in?ection, and give an equation for each asymptote. Write NONE Where.

184

Buildings Energy Data Book: 3.4 Commercial Environmental Emissions  

Buildings Energy Data Book [EERE]

3 3 2015 Commercial Buildings Energy End-Use Carbon Dioxide Emissions Splits, by Fuel Type (Million Metric Tons) (1) Natural Petroleum Gas Distil. Resid. LPG Oth(2) Total Coal Electricity (3) Total Percent Lighting 160.0 160.0 16.6% Space Heating 89.9 9.0 6.2 0.3 15.5 5.5 26.4 137.3 14.2% Space Cooling 1.9 80.0 81.9 8.5% Ventilation 85.0 85.0 8.8% Refrigeration 55.8 55.8 5.8% Electronics 49.9 49.9 5.2% Water Heating 25.5 2.0 2.0 14.3 41.8 4.3% Computers 30.0 30.0 3.1% Cooking 10.2 3.6 13.8 1.4% Other (4) 17.6 0.9 8.6 3.5 12.9 128.6 159.2 16.5% Adjust to SEDS (5) 36.0 13.9 13.9 99.8 149.8 15.5% Total 181.2 25.8 6.2 8.6 3.8 44.4 5.5 100% Note(s): Source(s): 733.4 964.5 1) Emissions assume complete combustion from energy consumption, excluding gas flaring, coal mining, and cement production. Emissions exclude wood since it is assumed that the carbon released from combustion is reabsorbed in a future carbon cycle. 2) Includes kerosene

185

WWU Sustainability Academy 4PM, Wednesday, December 3, CF 125  

E-Print Network [OSTI]

WWU Sustainability Academy 4PM, Wednesday, December 3, CF 125 Agenda 1. WWU Sustainability Academy Sustainability Courses at WWU ­ Gene Myers 4. Existing Sustainability Prototype Programs at WWU ­ Arunas Oslapas faculty member in the Sustainability Academy · 25 Yes · 6 Not sure Anonymous surveyors: · 7 Not sure · 1

Zaferatos, Nicholas C.

186

MAT 274 Elementary Differential Equations Section 3.4 & 3.6 of Edwards and Penney  

E-Print Network [OSTI]

MAT 274 Elementary Differential Equations Section 3.4 & 3.6 of Edwards and Penney 1. (1 pt) A steel resistance (in pounds) of the moving ball numerically equals 4 times its velocity (in feet per second of 5 feet per second. The air resistance (in pounds) of the moving ball numerically equals 4 times its

Cheng, Bin

187

Data:2432701e-0ac4-4b0a-afe3-905c4afc08c3 | Open Energy Information  

Open Energy Info (EERE)

e-0ac4-4b0a-afe3-905c4afc08c3 e-0ac4-4b0a-afe3-905c4afc08c3 No revision has been approved for this page. It is currently under review by our subject matter experts. Jump to: navigation, search Loading... 1. Basic Information 2. Demand 3. Energy << Previous 1 2 3 Next >> Basic Information Utility name: City of Tacoma, Washington (Utility Company) Effective date: 2013/04/01 End date if known: Rate name: Schedule B - Small General Service - City of Fircrest - Unmetered Service Sector: Commercial Description: For Nonresidential lighting, heating, and incidental power uses where demand meter may be installed. Also for nonresidential incidental powers uses where a meter is not installed. Source or reference: www.mytpu.org/file_viewer.aspx?id=6167 Source Parent: Comments Applicability

188

Categorical Exclusion Determinations: B4.3 | Department of Energy  

Broader source: Energy.gov (indexed) [DOE]

3 3 Categorical Exclusion Determinations: B4.3 Existing Regulations B4.3: Electric power marketing rate changes Rate changes for electric power, power transmission, and other products or services provided by a Power Marketing Administration that are based on a change in revenue requirements if the operations of generation projects would remain within normal operating limits. DOCUMENTS AVAILABLE FOR DOWNLOAD July 30, 2012 CX-009087: Categorical Exclusion Determination Hydroelectric Power Rate Increase for the Robert Douglas Willis Hydropower Project CX(s) Applied: B4.3 Date: 07/30/2012 Location(s): Texas, Texas, Texas Offices(s): Southwestern Power Administration October 20, 2011 CX-007790: Categorical Exclusion Determination Hydroelectric Power Rate Increase for the Integrated System of Hydropower

189

Magnetism of NiMn2O4-Fe3O4 spinel interfaces  

SciTech Connect (OSTI)

We investigate the magnetic properties of the isostructural spinel-spinel interface of NiMn{sub 2}O{sub 4}(NMO)-Fe{sub 3}O{sub 4}. Although the magnetic transition temperature of the NMO film is preserved, both bulk and interface sensitive measurements demonstrate that the interface exhibits strong interfacial magnetic coupling up to room temperature. While NMO thin films have a ferrimagnetic transition temperature of 60 K, both NiFe{sub 2}O{sub 4} and MnFe{sub 2}O{sub 4} are ferrimagnetic at room temperature. Our experimental results suggest that these magnetic properties arise from a thin interdiffused region of (Fe,Mn,Ni){sub 3}O{sub 4} at the interface, leading to Mn and Ni magnetic properties similar to those of MnFe{sub 2}O{sub 4} and NiFe{sub 2}O{sub 4}.

Arenholz, Elke; Nelson-Cheeseman, B. B.; Chopdekar, R. V.; Bettinger, J. S.; Arenholz, E.; Suzuki, Y.

2007-09-13T23:59:59.000Z

190

WWU Sustainability Academy 4PM, Wednesday, December 3, CF 125  

E-Print Network [OSTI]

WWU Sustainability Academy 4PM, Wednesday, December 3, CF 125 Draft Agenda 1. Welcome ­ Facilitators panel 2. Establishing a WWU Sustainability Academy Responses to Survey Questionnaire What the WWU Sustainability Academy can do Advocating for sustainability studies at WWU 3. The Existing

Zaferatos, Nicholas C.

191

Categorical Exclusion Determinations: B3.4 | Department of Energy  

Broader source: Energy.gov (indexed) [DOE]

4 4 Categorical Exclusion Determinations: B3.4 Existing Regulations B3.4: Transport packaging tests for radioactive or hazardous material Drop, puncture, water-immersion, thermal, and fire tests of transport packaging for radioactive or hazardous materials to certify that designs meet the applicable requirements (such as 49 CFR 173.411 and 173.412 and 10 CFR 71.73). Previous Regulations Categorical Exclusion Determinations dated before November 14th, 2011 were issued under previous DOE NEPA regulations. See the Notice of Final Rulemaking (76 FR 63763, 10/13/2011) for information changes to this categorical exclusion. DOCUMENTS AVAILABLE FOR DOWNLOAD July 3, 2013 CX-010707: Categorical Exclusion Determination Outdoor, Small-and Pilot-Scale Research and Development

192

Solar forecasting review  

E-Print Network [OSTI]

P(t) and the boring solar sensor. Denoting the bulk veloci equipped with solar irradiance sensors, see Figure 10.3.f that utilizes the low solar cost sensor network deployment

Inman, Richard Headen

2012-01-01T23:59:59.000Z

193

Method for preparation of 7-hydroxy-1,2,3,4-tetrahydroquinoline from 1,2,3,4-tetrahydroquinoline  

DOE Patents [OSTI]

Methods for the efficient preparation of 7-hydroxy-1,2,3,4-tetrahydroquinoline include a first method in which the acylation of m-aminophenol obtains a lactam which is reduced to give the desired quinoline and a second method in which tetrahydroquinoline is nitrated and hydrogenated and then hydrolyzed to obtain the desire quinoline. 7-hydroxy-1,2,3,4-tetrahydroquinoline is used in the efficient synthesis of four lasing dyes of the rhodamine class.

Field, G.; Hammond, P.R.

1994-02-01T23:59:59.000Z

194

Operational Forecasts of Cloud Cover and Water Vapour  

E-Print Network [OSTI]

of the forecast programme, which involved the additional use of 10.7 µm GOES-8 satellite data and surface weather cirrus cloud cover 15 5. A satellite-derived extinction parameter 17 5.1 Background 17 5.2 Previous work 20 5.3 Continued development of a satellite-derived 22 extinction parameter 6. Suggestions

195

Increasing NOAA's computational capacity to improve global forecast modeling  

E-Print Network [OSTI]

competing numerical weather prediction centers such as the European Center for MediumRange Weather Forecasts (ECMWF). For most sensibleweather metrics, we lag 1 to 1.5 days (i.e., they make a 3.5day of NOAA's current investment in weather satellites. Without a modern data assimilation system

Hamill, Tom

196

Measuring forecast skill: is it real skill or  

E-Print Network [OSTI]

samples, then many verification metrics will credit a forecast with extra skill it doesn't deserve islands, zero meteorologists Imagine a planet with a global ocean and two isolated islands. Weather three metrics... (1) Brier Skill Score (2) Relative Operating Characteristic (3) Equitable Threat Score

Hamill, Tom

197

Data:035f4025-4ca5-41e3-bbef-4d74c4f4f8b7 | Open Energy Information  

Open Energy Info (EERE)

4ca5-41e3-bbef-4d74c4f4f8b7 4ca5-41e3-bbef-4d74c4f4f8b7 No revision has been approved for this page. It is currently under review by our subject matter experts. Jump to: navigation, search Loading... 1. Basic Information 2. Demand 3. Energy << Previous 1 2 3 Next >> Basic Information Utility name: Holy Cross Electric Assn, Inc Effective date: 2011/07/01 End date if known: Rate name: Unmetered Service Sector: Residential Description: Available to municipalities, homeowners associations, and like entities. Source or reference: http://www.holycross.com/about-us/rates-charges Source Parent: Comments Monthly minimum charge = $4.66 Applicability Demand (kW) Minimum (kW): Maximum (kW): History (months): Energy (kWh) Minimum (kWh): Maximum (kWh): History (months): Service Voltage Minimum (V):

198

Data:Ebfb1359-3cde-4ef4-bdbf-8550cfccffde | Open Energy Information  

Open Energy Info (EERE)

Ebfb1359-3cde-4ef4-bdbf-8550cfccffde Ebfb1359-3cde-4ef4-bdbf-8550cfccffde No revision has been approved for this page. It is currently under review by our subject matter experts. Jump to: navigation, search Loading... 1. Basic Information 2. Demand 3. Energy << Previous 1 2 3 Next >> Basic Information Utility name: Moon Lake Electric Assn Inc Effective date: 2000/07/01 End date if known: Rate name: SCHEDULE I - IRRIGATION Sector: Commercial Description: AVAILABILITY: This schedule is for alternating current, at the Association's available voltage through a single point of delivery used exclusively for pumping water for agricultural purposes for either irrigation or soil drainage located on or near Association's facilities of adequate capacity. Subject to the established rules and regulations of the Association. Limited to pumps of 5 H.P. or more. This rate not for resale.

199

Forecasting wind speed financial return  

E-Print Network [OSTI]

The prediction of wind speed is very important when dealing with the production of energy through wind turbines. In this paper, we show a new nonparametric model, based on semi-Markov chains, to predict wind speed. Particularly we use an indexed semi-Markov model that has been shown to be able to reproduce accurately the statistical behavior of wind speed. The model is used to forecast, one step ahead, wind speed. In order to check the validity of the model we show, as indicator of goodness, the root mean square error and mean absolute error between real data and predicted ones. We also compare our forecasting results with those of a persistence model. At last, we show an application of the model to predict financial indicators like the Internal Rate of Return, Duration and Convexity.

D'Amico, Guglielmo; Prattico, Flavio

2013-01-01T23:59:59.000Z

200

Data:E5787da3-ca96-4c3c-92ac-4c3fcd7736ec | Open Energy Information  

Open Energy Info (EERE)

87da3-ca96-4c3c-92ac-4c3fcd7736ec 87da3-ca96-4c3c-92ac-4c3fcd7736ec No revision has been approved for this page. It is currently under review by our subject matter experts. Jump to: navigation, search Loading... 1. Basic Information 2. Demand 3. Energy << Previous 1 2 3 Next >> Basic Information Utility name: Electrical Dist No3 Pinal Cnty Effective date: 2010/01/01 End date if known: Rate name: RATE NO. 10 GATES & TURNOUTS Sector: Industrial Description: Applicability: To all irrigation motors operated for the exclusive use of opening or closing gates or turnouts for the purposes of irrigating farm fields or to fill canals which are ultimately used to irrigate fields. Source or reference: http://www.ed3online.org/view/70 Source Parent: Comments Applicability Demand (kW) Minimum (kW):

Note: This page contains sample records for the topic "forecast 4 3" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


201

Joining SI3N4 for Advanced Turbomachinery Applications  

SciTech Connect (OSTI)

The main objective of this project was to develop reliable, low-cost techniques for joining silicon nitride (Si{sub 3}N{sub 4}) to itself and to metals. For Si{sub 3}N{sub 4} to be widely used in advanced turbomachinery applications, joining techniques must be developed that are reliable, cost-effective, and manufacturable. This project addressed those needs by developing and testing two Si{sub 3}N{sub 4} joining systems; oxynitride glass joining materials and high temperature braze alloys. Extensive measurements were also made of the mechanical properties and oxidation resistance of the braze materials. Finite element models were used to predict the magnitudes and positions of the stresses in the ceramic regions of ceramic-to-metal joints sleeve and butt joints, similar to the geometries used for stator assemblies.

GLASS, S. JILL; LOEHMAN, RONALD E.; HOSKING, F. MICHAEL; STEPHENS JR., JOHN J.; VIANCO, PAUL T.; NEILSEN, MICHAEL K.; WALKER, CHARLES A.; POLLINGER, J.P.; MAHONEY, F.M.; QUILLEN, B.G.

2000-07-01T23:59:59.000Z

202

Data:4d1c83c3-f0ad-4cf4-a815-7ea08e3862f3 | Open Energy Information  

Open Energy Info (EERE)

c3-f0ad-4cf4-a815-7ea08e3862f3 c3-f0ad-4cf4-a815-7ea08e3862f3 No revision has been approved for this page. It is currently under review by our subject matter experts. Jump to: navigation, search Loading... 1. Basic Information 2. Demand 3. Energy << Previous 1 2 3 Next >> Basic Information Utility name: Salmon River Electric Coop Inc Effective date: 2004/02/21 End date if known: Rate name: Single Phase Master Metered (Non Demand) RV Parks (300-399 local access) Sector: Residential Description: Service under this schedule is available to master-metered mobile home parks and recreational vehicle (RV) parks. The type of service provided under this schedule is single phase, at the standard voltage available for the premises to be served, supplied through one meter at one point of delivery.

203

! "#$ %& '( )* +,-./01 2! 3$4 56 789 +,-./0 :; ?  

E-Print Network [OSTI]

"> [?F & S°! G? +,- ./0G "yE'! 1 S°F (" l]m & ± ²2 J"³ STiA $U Viz ¡?+ ) Gw ¡? , -1 #12; ³ P ´G 8H$4°! >?$4 ! c +,- @ABC! 78$ DE 789 ÿJ1 " ./0F 56 1 GHI J"#12;E EU î V :; 1 GHI J" ! STiA $U VE 22¹ ?³ ".$S 3Z #¤ 78 +,- @ABC1 ./01 #12; ¡ª +,-1 Z Sx$U )¤ ³ 3Z STiA $U V 22 '% S°! ö? 7&$U VE p

Kim, Kwangjo

204

Weather Forecast Data an Important Input into Building Management Systems  

E-Print Network [OSTI]

Lewis Poulin Implementation and Operational Services Section Canadian Meteorological Centre, Dorval, Qc National Prediction Operations Division ICEBO 2013, Montreal, Qc October 10 2013 Version 2013-09-27 Weather Forecast Data An Important... and weather information ? Numerical weather forecast production 101 ? From deterministic to probabilistic forecasts ? Some MSC weather forecast (NWP) datasets ? Finding the appropriate data for the appropriate forecast ? Preparing for probabilistic...

Poulin, L.

2013-01-01T23:59:59.000Z

205

BMA Probabilistic Quantitative Precipitation Forecasting over the Huaihe Basin Using TIGGE Multimodel Ensemble Forecasts  

Science Journals Connector (OSTI)

Bayesian model averaging (BMA) probability quantitative precipitation forecast (PQPF) models were established by calibrating their parameters using 17-day ensemble forecasts of 24-h accumulated precipitation, and observations from 43 ...

Jianguo Liu; Zhenghui Xie

2014-04-01T23:59:59.000Z

206

Calibrated Precipitation Forecasts for a Limited-Area Ensemble Forecast System Using Reforecasts  

Science Journals Connector (OSTI)

The calibration of numerical weather forecasts using reforecasts has been shown to increase the skill of weather predictions. Here, the precipitation forecasts from the Consortium for Small Scale Modeling Limited Area Ensemble Prediction System (...

Felix Fundel; Andre Walser; Mark A. Liniger; Christoph Frei; Christof Appenzeller

2010-01-01T23:59:59.000Z

207

Spiky Strings on AdS(4) X CP**3  

E-Print Network [OSTI]

We study a giant magnon and a spike solution for the string rotating on AdS(4) X CP**3 geometry. We consider rigid rotating fundamental string in the SU(2) X SU(2) sector inside the CP**3 and find out the general form of all the conserved charges. We find out the dispersion relation corresponding to both the known giant magnon and the new spike solutions. We further study the finite size correction in both cases.

Bum-Hoon Lee; Kamal L. Panigrahi; Chanyong Park

2008-07-16T23:59:59.000Z

208

EIA - Forecasts and Analysis of Energy Data  

Gasoline and Diesel Fuel Update (EIA)

H Tables H Tables Appendix H Comparisons With Other Forecasts, and Performance of Past IEO Forecasts for 1990, 1995, and 2000 Forecast Comparisons Three organizations provide forecasts comparable with those in the International Energy Outlook 2005 (IEO2005). The International Energy Agency (IEA) provides “business as usual” projections to the year 2030 in its World Energy Outlook 2004; Petroleum Economics, Ltd. (PEL) publishes world energy forecasts to 2025; and Petroleum Industry Research Associates (PIRA) provides projections to 2015. For this comparison, 2002 is used as the base year for all the forecasts, and the comparisons extend to 2025. Although IEA’s forecast extends to 2030, it does not publish a projection for 2025. In addition to forecasts from other organizations, the IEO2005 projections are also compared with those in last year’s report (IEO2004). Because 2002 data were not available when IEO2004 forecasts were prepared, the growth rates from IEO2004 are computed from 2001.

209

Funding Opportunity Announcement for Wind Forecasting Improvement...  

Office of Environmental Management (EM)

to improved forecasts, system operators and industry professionals can ensure that wind turbines will operate at their maximum potential. Data collected during this field...

210

Upcoming Funding Opportunity for Wind Forecasting Improvement...  

Office of Environmental Management (EM)

to improved forecasts, system operators and industry professionals can ensure that wind turbines will operate at their maximum potential. Data collected during this field...

211

Huge market forecast for linear LDPE  

Science Journals Connector (OSTI)

Huge market forecast for linear LDPE ... It now appears that the success of the new technology, which rests largely on energy and equipment cost savings, could be overwhelming. ...

1980-08-25T23:59:59.000Z

212

Discovery of N-(4-(2-Amino-3-chloropyridin-4-yloxy)-3-fluorophenyl)-4-ethoxy-1-(4-fluorophenyl)-2-oxo-1,2-dihydropyridine-3-carboxamide (BMS-777607), a Selective and Orally Efficacious Inhibitor of the Met Kinase Superfamily  

SciTech Connect (OSTI)

Substituted N-(4-(2-aminopyridin-4-yloxy)-3-fluoro-phenyl)-1-(4-fluorophenyl)-2-oxo-1,2-dihydropyridine-3-carboxamides were identified as potent and selective Met kinase inhibitors. Substitution of the pyridine 3-position gave improved enzyme potency, while substitution of the pyridone 4-position led to improved aqueous solubility and kinase selectivity. Analogue 10 demonstrated complete tumor stasis in a Met-dependent GTL-16 human gastric carcinoma xenograft model following oral administration. Because of its excellent in vivo efficacy and favorable pharmacokinetic and preclinical safety profiles, 10 has been advanced into phase I clinical trials.

Schroeder, Gretchen M.; An, Yongmi; Cai, Zhen-Wei; Chen, Xiao-Tao; Clark, Cheryl; Cornelius, Lyndon A.M.; Dai, Jun; Gullo-Brown, Johnni; Gupta, Ashok; Henley, Benjamin; Hunt, John T.; Jeyaseelan, Robert; Kamath, Amrita; Kim, Kyoung; Lippy, Jonathan; Lombardo, Louis J.; Manne, Veeraswamy; Oppenheimer, Simone; Sack, John S.; Schmidt, Robert J.; Shen, Guoxiang; Stefanski, Kevin; Tokarski, John S.; Trainor, George L.; Wautlet, Barri S.; Wei, Donna; Williams, David K.; Zhang, Yingru; Zhang, Yueping; Fargnoli, Joseph; Borzilleri, Robert M.; (BMS)

2009-12-01T23:59:59.000Z

213

4.3. Insects ofPapua SCOTT E. MILLER  

E-Print Network [OSTI]

4.3. Insects ofPapua SCOTT E. MILLER INSECTS AND OTHER terrestrial invertebrates are tremendously. J., and Beehler, B. M. (eds.)- 2006. The Ecology ofPapua. Singapore: Periplus Editions. 515 .16157$ CH36 02-08-07 10:39:31 PS #12;516 /SCOTT E. MILLER seum, Honolulu (BPBM); Museum Zoologense

Mathis, Wayne N.

214

NPTEL Syllabus Advanced 3G and 4G Wireless Mobile  

E-Print Network [OSTI]

NPTEL Syllabus Advanced 3G and 4G Wireless Mobile Communications - Video course COURSE OUTLINE in this area, will also find this course revealing. The treatment would look at current and upcoming wireless communications technologies for broadband wireless access. COURSE DETAIL Sl. No Topic No. of Lectures 1 Wireless

Jagannatham, Aditya K.

215

Online Tutorial A. Introduction 4 slides (page 3)  

E-Print Network [OSTI]

Online Tutorial 1 #12;A. Introduction ­ 4 slides (page 3) B. eGrades Timeline ­ 5 slides (page 8) C. Accessing eGrades ­ 5 slides (page 14) D. Authorized Graders ­ 22 slides (page 20) E. Submitting Grades ­ 42 slides (page 43) F. Grade changes ­ 19 slides (page 86) G. Importing Grades ­ 29 slides (page 106) H

Tsien, Roger Y.

216

V1 1 2 3 4 5 6 First Name  

E-Print Network [OSTI]

V1 1 2 3 4 5 6 Last Name: First Name: ID: Section: Math 150A Midterm #2. March 17, 2006 Attention using the definition of the derivative. (You are not supposed to use the power rule in this problem!) a is expanding in the ocean with its area increasing with the constant rate of 100 m2 per hour. How fast

Alekseenko, Alexander

217

NOAA GREAT LAKES COASTAL FORECASTING SYSTEM Forecasts (up to 5 days in the future)  

E-Print Network [OSTI]

conditions for up to 5 days in the future. These forecasts are run twice daily, and you can step through are generated every 6 hours and you can step backward in hourly increments to view conditions over the previousNOAA GREAT LAKES COASTAL FORECASTING SYSTEM Forecasts (up to 5 days in the future) and Nowcasts

218

P11.3 EFFECTS OF NESTING FREQUENCY AND LATERAL BOUNDARY PERTURBATIONS ON THE DISPERSION OF LIMITED-AREA ENSEMBLE FORECASTS  

E-Print Network [OSTI]

P11.3 EFFECTS OF NESTING FREQUENCY AND LATERAL BOUNDARY PERTURBATIONS ON THE DISPERSION OF LIMITED of ensemble fore- casts, also lack consistent perturbations. Pertur- bations growing on the nested domain on the effect of LBC update in- terval on the nested-grid ensemble dispersion. Other results will be presented

Xue, Ming

219

Methodology for Developing the REScheck Software through Version 4.4.3  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

20797 20797 Prepared for the U.S. Department of Energy under Contract DE-AC05-76RL01830 Methodology for Developing the REScheck TM Software through Version 4.4.3 R Bartlett RW Schultz LM Connell ZT Taylor K Gowri JD Wiberg RG Lucas September 2012 PNNL-20797 Methodology for Developing the REScheck TM Software through Version 4.4.3 R Bartlett RW Schultz LM Connell ZT Taylor K Gowri JD Wiberg RG Lucas September 2012 Prepared for the U.S. Department of Energy under Contract DE-AC05-76RL01830 Pacific Northwest National Laboratory Richland, Washington 99352 iii Summary The Energy Policy Act of 1992 (EPAct, Public Law 102-486) establishes the 1992 Model Energy Code (MEC), published by the Council of American Building Officials (CABO), as the target for several

220

EIS-0391-FEIS-Volume3-Section4-2012  

Broader source: Energy.gov (indexed) [DOE]

SECTION 4 SECTION 4 REFERENCES 4-1 SECTION 4 REFERENCES Anderson, J.D., 1996, The History of the 200 Area Burial Ground Facilities, WHC-EP-0912, Westinghouse Hanford Company, Richland, Washington, September. Anderson, J.D., and D.L. Hagel, 1996, Summary of Radioactive Solid Waste Received in the 200 Areas During Calendar Year 1995, WHC-EP-0125-8, Westinghouse Hanford Company, Richland, Washington, June. Atkinson, A., and J.A. Hearne, 1984, An Assessment of the Long-Term Durability of Concrete in Radioactive Waste Repositories, AERE-R11465, United Kingdom Atomic Energy Authority, Harwell, England, October. Barnett, D.B., R.M. Smith, C.J. Chou, and J.P. McDonald, 2005, Groundwater Monitoring Plan for the Hanford Site 216-B-3 Pond RCRA Facility, PNNL-15479, Pacific Northwest National Laboratory, Richland,

Note: This page contains sample records for the topic "forecast 4 3" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


221

Ensemble Kalman Filter Analyses and Forecasts of a Severe Mesoscale Convective System Using Different Choices of Microphysics Schemes  

Science Journals Connector (OSTI)

A Weather Research and Forecasting Model (WRF)-based ensemble data assimilation system is used to produce storm-scale analyses and forecasts of the 45 July 2003 severe mesoscale convective system (MCS) over Indiana and Ohio, which produced ...

Dustan M. Wheatley; Nusrat Yussouf; David J. Stensrud

2014-09-01T23:59:59.000Z

222

Twisted 3D $N=4$ Supersymmetric YM on deformed $\\mathbb{A}_3^\\ast$ Lattice  

E-Print Network [OSTI]

We study a class of twisted 3D $N=4$ supersymmetric Yang-Mills (SYM) theory on particular 3-dimensional lattice denoted as $\\mathcal{L}_{3D}^{su_3\\times u_1}$ and given by non trivial fibration $\\mathcal{L}_{1D}^{u_1}\\times \\mathcal{L}_{2D}^{su_3}$ with base $\\mathcal{L}_{2D}^{su_3}=\\mathbb{A}_2^\\ast$, the weight lattice of $SU(3)$. We first, develop the twisted 3D $N=4$ SYM in continuum by using superspace method where the scalar supercharge $Q$ is manifestly exhibited. Then, we show how to engineer the 3D lattice $\\mathcal{L}_{3D}^{su_3\\times u_1}$ that host this theory. After that we build the lattice action $\\mathcal{S}_{latt}$ invariant under the 3 following: (i) $U(N)$ gauge invariance, (ii) BRST symmetry, (iii) the hidden $SU(3) \\times U(1)$ symmetry of $\\mathcal{L}_{3D}^{su_3\\times u_1}$. Other features such as reduction to twisted 2D supersymmetry with 8 supercharges living on $\\mathcal{L}_{2D}^{su_2\\times u_1}$, the extension to twisted maximal 5D SYM with 16 supercharges on lattice $\\mathcal{L}_{5D}^{su_4\\times u_1}$ as well as the relation with known results are also given.

El Hassan Saidi

2014-07-13T23:59:59.000Z

223

Propellant Containing 3, 6bis(1h-1,2,3,4-Tetrazol-5-Ylamino)-1,2,4,5- Tetrazine Or Salt Thereof  

DOE Patents [OSTI]

The compound 3,6-bis(1H-1,2,3,4-tetrazol-5-ylamino)-1,2,4,5-tetrazine and its salts are provided together with a propellant composition including an oxidizer, a binder and 3,6-bis(1H-1,2,3,4-tetrazol-5-ylamino)-1,2,4,5-tetrazine or its salts.

Hiskey, Michael A. (Los Alamos, NM); Chavez, David E. (Ranchos de Taos, NM); Naud, Darren (Los Alamos, NM)

2003-12-02T23:59:59.000Z

224

Data:A5f4ee72-ba3e-4efd-a609-4a2db4ca594b | Open Energy Information  

Open Energy Info (EERE)

ee72-ba3e-4efd-a609-4a2db4ca594b ee72-ba3e-4efd-a609-4a2db4ca594b No revision has been approved for this page. It is currently under review by our subject matter experts. Jump to: navigation, search Loading... 1. Basic Information 2. Demand 3. Energy << Previous 1 2 3 Next >> Basic Information Utility name: Lighthouse Electric Coop, Inc Effective date: 2010/06/01 End date if known: Rate name: Small Commercial-Single Phase Sector: Commercial Description: This rate is applicable to the Power Cost Recovery Factor. Source or reference: Rate Binder 5, Illinois State University Source Parent: Comments Applicability Demand (kW) Minimum (kW): Maximum (kW): History (months): Energy (kWh) Minimum (kWh): Maximum (kWh): History (months): Service Voltage Minimum (V): Maximum (V): Character of Service Voltage Category:

225

Optimal combined wind power forecasts using exogeneous variables  

E-Print Network [OSTI]

Optimal combined wind power forecasts using exogeneous variables Fannar ¨Orn Thordarson Kongens of the thesis is combined wind power forecasts using informations from meteorological forecasts. Lyngby, January

226

Ensemble typhoon quantitative precipitation forecasts model in Taiwan  

Science Journals Connector (OSTI)

In this study, an ensemble typhoon quantitative precipitation forecast (ETQPF) model was developed to provide typhoon rainfall forecasts for Taiwan. The ETQPF rainfall forecast is obtained by averaging the pick-out cases, which are screened at a ...

Jing-Shan Hong; Chin-Tzu Fong; Ling-Feng Hsiao; Yi-Chiang Yu; Chian-You Tzeng

227

Variational Assimilation for Xenon Dynamical Forecasts in Neutronic using Advanced Background Error Covariance Matrix  

E-Print Network [OSTI]

Data assimilation method consists in combining all available pieces of information about a system to obtain optimal estimates of initial states. The different sources of information are weighted according to their accuracy by the means of error covariance matrices. Our purpose here is to evaluate the efficiency of variational data assimilation for the xenon induced oscillations forecasts in nuclear cores. In this paper we focus on the comparison between 3DVAR schemes with optimised background error covariance matrix B and a 4DVAR scheme. Tests were made in twin experiments using a simulation code which implements a mono-dimensional coupled model of xenon dynamics, thermal, and thermal-hydraulic processes. We enlighten the very good efficiency of the 4DVAR scheme as well as good results with the 3DVAR one using a careful multivariate modelling of B.

Ponot, Anglique; Bouriquet, Bertrand; Erhard, Patrick; Gratton, Serge; Thual, Olivier

2013-01-01T23:59:59.000Z

228

Variational assimilation for xenon dynamical forecasts in neutronic using advanced background error covariance matrix modelling  

Science Journals Connector (OSTI)

Abstract Data assimilation method consists in combining all available pieces of information about a system to obtain optimal estimates of initial states. The different sources of information are weighted according to their accuracy by the means of error covariance matrices. Our purpose here is to evaluate the efficiency of variational data assimilation for the xenon induced oscillations forecasts in nuclear cores. In this paper we focus on the comparison between 3DVAR schemes with optimised background error covariance matrix B and a 4DVAR scheme. Tests were made in twin experiments using a simulation code which implements a mono-dimensional coupled model of xenon dynamics, thermal, and thermalhydraulic processes. We enlighten the very good efficiency of the 4DVAR scheme as well as good results with the 3DVAR one using a careful multivariate modelling of B.

Anglique Ponot; Jean-Philippe Argaud; Bertrand Bouriquet; Patrick Erhard; Serge Gratton; Olivier Thual

2013-01-01T23:59:59.000Z

229

Data:Cea3f4cc-999e-4ae3-a613-332b928a90b4 | Open Energy Information  

Open Energy Info (EERE)

Cea3f4cc-999e-4ae3-a613-332b928a90b4 Cea3f4cc-999e-4ae3-a613-332b928a90b4 No revision has been approved for this page. It is currently under review by our subject matter experts. Jump to: navigation, search Loading... 1. Basic Information 2. Demand 3. Energy << Previous 1 2 3 Next >> Basic Information Utility name: Town of Reading, Massachusetts (Utility Company) Effective date: 2011/05/01 End date if known: Rate name: Industrial Time-of-Use Schedule I Rate(Customer Transformer Ownership-34500 volts) Sector: Industrial Description: Service under this rate is available to industrial or commercial customers who take all their requirements under this rate. All electricity furnished under this rate will be metered using an electronic meter capable of metering On-Peak and Off-Peak energy as well as kW demand.

230

Data:Eef7bed3-50ec-4d4e-aef3-edf7a11f4b40 | Open Energy Information  

Open Energy Info (EERE)

bed3-50ec-4d4e-aef3-edf7a11f4b40 bed3-50ec-4d4e-aef3-edf7a11f4b40 No revision has been approved for this page. It is currently under review by our subject matter experts. Jump to: navigation, search Loading... 1. Basic Information 2. Demand 3. Energy << Previous 1 2 3 Next >> Basic Information Utility name: City of Kiel, Wisconsin (Utility Company) Effective date: 2011/05/06 End date if known: Rate name: Ms-1 Street Lighting Service Ornamental 70 W HPS Sector: Lighting Description: Power Cost Adjustment Clause - All metered rates shall be subject to a positive or negative power cost adjustment charge equivalent to the amount by which the current cost of power (per kilowatt-hour of sales) is greater or lesser than the base cost of power purchased (per kilowatt-hour of sales). The base cost of power (U) is $0.0754 per kilowatt-hour.

231

High-Rate Cathodes Based on Li3V2(PO4)3 Nanobelts Prepared via...  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Cathodes Based on Li3V2(PO4)3 Nanobelts Prepared via Surfactant-Assisted Fabrication. Abstract: In this work, we synthesized monoclinic Li3V2(PO4)3 nanobelts via a single-step,...

232

Nano-Structured Li3V2(PO4)3 /Carbon Composite for High Rate Lithium...  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Nano-Structured Li3V2(PO4)3 Carbon Composite for High Rate Lithium Ion Batteries. Nano-Structured Li3V2(PO4)3 Carbon Composite for High Rate Lithium Ion Batteries. Abstract:...

233

Data:F63d3b82-7e4f-4aa3-8147-2a3beff5704e | Open Energy Information  

Open Energy Info (EERE)

b82-7e4f-4aa3-8147-2a3beff5704e b82-7e4f-4aa3-8147-2a3beff5704e No revision has been approved for this page. It is currently under review by our subject matter experts. Jump to: navigation, search Loading... 1. Basic Information 2. Demand 3. Energy << Previous 1 2 3 Next >> Basic Information Utility name: Pearl River Valley El Pwr Assn Effective date: 2012/08/01 End date if known: Rate name: 70 OL-8 400 MH, Flood Sector: Lighting Description: Available to all Consumer's subject to Association's established rules and regulations. Association's standard outdoor lighting facilities. Service includes Association furnishing, operating, and maintaining lighting fixture, control equipment and lamp. When Association is required to alter its normal facilities to furnish a special outdoor lighting service, there will be an additional monthly charge.

234

Forecast of geothermal drilling activity  

SciTech Connect (OSTI)

The numbers of each type of geothermal well expected to be drilled in the United States for each 5-year period to 2000 AD are specified. Forecasts of the growth of geothermally supplied electric power and direct heat uses are presented. The different types of geothermal wells needed to support the forecasted capacity are quantified, including differentiation of the number of wells to be drilled at each major geothermal resource for electric power production. The rate of growth of electric capacity at geothermal resource areas is expected to be 15 to 25% per year (after an initial critical size is reached) until natural or economic limits are approached. Five resource areas in the United States should grow to significant capacity by the end of the century (The Geysers; Imperial Valley; Valles Caldera, NM; Roosevelt Hot Springs, UT; and northern Nevada). About 3800 geothermal wells are expected to be drilled in support of all electric power projects in the United States between 1981 and 2000 AD. Half of the wells are expected to be drilled in the Imperial Valley. The Geysers area is expected to retain most of the drilling activity for the next 5 years. By the 1990's, the Imperial Valley is expected to contain most of the drilling activity.

Brown, G.L.; Mansure, A.J.

1981-10-01T23:59:59.000Z

235

New Concepts in Wind Power Forecasting Models  

E-Print Network [OSTI]

New Concepts in Wind Power Forecasting Models Vladimiro Miranda, Ricardo Bessa, João Gama, Guenter to the training of mappers such as neural networks to perform wind power prediction as a function of wind for more accurate short term wind power forecasting models has led to solid and impressive development

Kemner, Ken

236

QUIKSCAT MEASUREMENTS AND ECMWF WIND FORECASTS  

E-Print Network [OSTI]

. (2004) this forecast error was encountered when assimilating satellite measurements of zonal wind speeds between satellite measurements and meteorological forecasts of near-surface ocean winds. This type of covariance enters in assimilation techniques such as Kalman filtering. In all, six residual fields

Malmberg, Anders

237

QUIKSCAT MEASUREMENTS AND ECMWF WIND FORECASTS  

E-Print Network [OSTI]

. (2004) this forecast error was encountered when assimilating satellite measurements of zonal wind speeds between satellite measurements and meteorological forecasts of near­surface ocean winds. This type of covariance enters in assimilation techniques such as Kalman filtering. In all, six residual fields

Malmberg, Anders

238

PROBLEMS OF FORECAST1 Dmitry KUCHARAVY  

E-Print Network [OSTI]

: Technology Forecast, Laws of Technical systems evolution, Analysis of Contradictions. 1. Introduction Let us: If technology forecasting practice remains at the present level, it is necessary to significantly improve to new demands (like Green House Gases - GHG Effect reduction or covering exploded nuclear reactor

Paris-Sud XI, Université de

239

Amending Numerical Weather Prediction forecasts using GPS  

E-Print Network [OSTI]

. Satellite images and Numerical Weather Prediction (NWP) models are used together with the synoptic surfaceAmending Numerical Weather Prediction forecasts using GPS Integrated Water Vapour: a case study to validate the amounts of humidity in Numerical Weather Prediction (NWP) model forecasts. This paper presents

Stoffelen, Ad

240

A Forecasting Support System Based on Exponential Smoothing  

Science Journals Connector (OSTI)

This chapter presents a forecasting support system based on the exponential smoothing scheme to forecast time-series data. Exponential smoothing methods are simple to apply, which facilitates...

Ana Corbern-Vallet; Jos D. Bermdez; Jos V. Segura

2010-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "forecast 4 3" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


241

ANL Software Improves Wind Power Forecasting | Department of...  

Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

principal investigator for the project. For wind power point forecasting, ARGUS PRIMA trains a neural network using data from weather forecasts, observations, and actual wind...

242

Improved Prediction of Runway Usage for Noise Forecast :.  

E-Print Network [OSTI]

??The research deals with improved prediction of runway usage for noise forecast. Since the accuracy of the noise forecast depends on the robustness of runway (more)

Dhanasekaran, D.

2014-01-01T23:59:59.000Z

243

The Wind Forecast Improvement Project (WFIP): A Public/Private...  

Energy Savers [EERE]

Improvement Project (WFIP): A PublicPrivate Partnership for Improving Short Term Wind Energy Forecasts and Quantifying the Benefits of Utility Operations The Wind Forecast...

244

PBL FY 2002 Third Quarter Review Forecast of Generation Accumulated...  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Power Business Line Generation Accumulated Net Revenues Forecast for Financial-Based Cost Recovery Adjustment Clause (FB CRAC) FY 2002 Third Quarter Review Forecast in Millions...

245

Particle dynamics during slow ejection from the "Pakhra" synchroton at resonances 3/4 and 2/3 (In Russian)  

E-Print Network [OSTI]

Particle dynamics during slow ejection from the "Pakhra" synchroton at resonances 3/4 and 2/3 (In Russian)

aut

1972-01-01T23:59:59.000Z

246

October 2012 Energy Assurance Planning Bulletin Volume 3 No 4  

Broader source: Energy.gov (indexed) [DOE]

OCTOBER 1, 2012 THE AMERICAN RECOVERY AND REINVESTMENT ACT VOLUME 3, NUMBER 4 OCTOBER 1, 2012 THE AMERICAN RECOVERY AND REINVESTMENT ACT VOLUME 3, NUMBER 4 Need to Know Program Recap Action Items Quarterly and Project Close- Out Reports Due Energy Assurance Success Stories Portland, Oregon's Community-Wide Approach to Local Government Energy Assurance Planning News from the States North Carolina reaps benefits from SLEAP Upcoming Events GridWeek 2012 DOE Winter Fuels Outlook Conference ASERTTI Fall Meeting NMU "The Basics" Courses World Energy Engineering Conference NARUC Annual Meeting Clean Energy Workforce Education Conference NASEO State Energy Policy and Technology Outlook Conference Globalcon 2013 Other Useful Information and Links Next Steps with Energy Assurance Planning -

247

Twisted 3D $N=4$ Supersymmetric YM on deformed $\\mathbb{A}_3^\\ast$ Lattice  

E-Print Network [OSTI]

We study a class of twisted 3D $N=4$ supersymmetric Yang-Mills (SYM) theory on particular 3-dimensional lattice denoted as $\\mathcal{L}_{3D}^{su_3\\times u_1}$ and given by non trivial fibration $\\mathcal{L}_{1D}^{u_1}\\times \\mathcal{L}_{2D}^{su_3}$ with base $\\mathcal{L}_{2D}^{su_3}=\\mathbb{A}_2^\\ast$, the weight lattice of $SU(3)$. We first, develop the twisted 3D $N=4$ SYM in continuum by using superspace method where the scalar supercharge $Q$ is manifestly exhibited. Then, we show how to engineer the 3D lattice $\\mathcal{L}_{3D}^{su_3\\times u_1}$ that host this theory. After that we build the lattice action $\\mathcal{S}_{latt}$ invariant under the 3 following: (i) $U(N)$ gauge invariance, (ii) BRST symmetry, (iii) the hidden $SU(3) \\times U(1)$ symmetry of $\\mathcal{L}_{3D}^{su_3\\times u_1}$. Other features such as reduction to twisted 2D supersymmetry with 8 supercharges living on $\\mathcal{L}_{2D}^{su_2\\times u_1}$, the extension to twisted maximal 5D SYM with 16 supercharges on lattice $\\mathcal{L}_{5D...

Saidi, El Hassan

2014-01-01T23:59:59.000Z

248

Acceptance test report for core sample trucks 3 and 4  

SciTech Connect (OSTI)

The purpose of this Acceptance Test Report is to provide documentation for the acceptance testing of the rotary mode core sample trucks 3 and 4, designated as HO-68K-4600 and HO-68K-4647, respectively. This report conforms to the guidelines established in WHC-IP-1026, ``Engineering Practice Guidelines,`` Appendix M, ``Acceptance Test Procedures and Reports.`` Rotary mode core sample trucks 3 and 4 were based upon the design of the second core sample truck (HO-68K-4345) which was constructed to implement rotary mode sampling of the waste tanks at Hanford. Successful completion of acceptance testing on June 30, 1995 verified that all design requirements were met. This report is divided into four sections, beginning with general information. Acceptance testing was performed on trucks 3 and 4 during the months of March through June, 1995. All testing was performed at the ``Rock Slinger`` test site in the 200 West area. The sequence of testing was determined by equipment availability, and the initial revision of the Acceptance Test Procedure (ATP) was used for both trucks. Testing was directed by ICF-KH, with the support of WHC Characterization Equipment Engineering and Characterization Project Operations. Testing was completed per the ATP without discrepancies or deviations, except as noted.

Corbett, J.E.

1996-04-10T23:59:59.000Z

249

1993 Pacific Northwest Loads and Resources Study, Pacific Northwest Economic and Electricity Use Forecast, Technical Appendix: Volume 1.  

SciTech Connect (OSTI)

This publication documents the load forecast scenarios and assumptions used to prepare BPA`s Whitebook. It is divided into: intoduction, summary of 1993 Whitebook electricity demand forecast, conservation in the load forecast, projection of medium case electricity sales and underlying drivers, residential sector forecast, commercial sector forecast, industrial sector forecast, non-DSI industrial forecast, direct service industry forecast, and irrigation forecast. Four appendices are included: long-term forecasts, LTOUT forecast, rates and fuel price forecasts, and forecast ranges-calculations.

United States. Bonneville Power Administration.

1994-02-01T23:59:59.000Z

250

Characterizing and Optimizing Precipitation Forecasts from a Convection-Permitting Ensemble Initialized by a Mesoscale Ensemble Kalman Filter  

Science Journals Connector (OSTI)

Convection-permitting Weather Research and Forecasting (WRF) Model forecasts with 3-km horizontal grid spacing were produced for a 50-member ensemble over a domain spanning three-quarters of the contiguous United States between 25 May and 25 June ...

Craig S. Schwartz; Glen S. Romine; Kathryn R. Smith; Morris L. Weisman

2014-12-01T23:59:59.000Z

251

Data:92782364-4c77-4f3b-82fe-3ed372ab70a3 | Open Energy Information  

Open Energy Info (EERE)

4-4c77-4f3b-82fe-3ed372ab70a3 4-4c77-4f3b-82fe-3ed372ab70a3 No revision has been approved for this page. It is currently under review by our subject matter experts. Jump to: navigation, search Loading... 1. Basic Information 2. Demand 3. Energy << Previous 1 2 3 Next >> Basic Information Utility name: City of Seneca, South Carolina (Utility Company) Effective date: End date if known: Rate name: Comm Large SPEC Sector: Commercial Description: Source or reference: https://cas.sharepoint.illinoisstate.edu/grants/Sunshot/Lists/DATA%20ENTRY%20Rates%20Collected/Attachments/628/Seneca%20Light%20and%20Water.pdf Source Parent: Comments Applicability Demand (kW) Minimum (kW): Maximum (kW): History (months): Energy (kWh) Minimum (kWh): Maximum (kWh): History (months): Service Voltage Minimum (V): Maximum (V):

252

A hypoxia-inducible factor (HIF)-3? splicing variant, HIF-3?4 impairs angiogenesis in hypervascular malignant meningiomas with epigenetically silenced HIF-3?4  

SciTech Connect (OSTI)

Highlights: ? HIF-3?4 is silenced by DNA methylation in meningiomas. ? Induction of HIF-3?4 impaired angiogenesis in meningiomas. ? Induction of HIF-3?4 impaired proliferation and oxygen-dependent metabolism. -- Abstract: Hypoxia inducible factor is a dominant regulator of adaptive cellular responses to hypoxia and controls the expression of a large number of genes regulating angiogenesis as well as metabolism, cell survival, apoptosis, and other cellular functions in an oxygen level-dependent manner. When a neoplasm is able to induce angiogenesis, tumor progression occurs more rapidly because of the nutrients provided by the neovasculature. Meningioma is one of the most hypervascular brain tumors, making anti-angiogenic therapy an attractive novel therapy for these tumors. HIF-3? has been conventionally regarded as a dominant-negative regulator of HIF-1?, and although alternative HIF-3? splicing variants are extensively reported, their specific functions have not yet been determined. In this study, we found that the transcription of HIF-3?4 was silenced by the promoter DNA methylation in meningiomas, and inducible HIF-3?4 impaired angiogenesis, proliferation, and metabolism/oxidation in hypervascular meningiomas. Thus, HIF-3?4 could be a potential molecular target in meningiomas.

Ando, Hitoshi [Department of Neurosurgery, Nagoya University School of Medicine, Nagoya (Japan) [Department of Neurosurgery, Nagoya University School of Medicine, Nagoya (Japan); Department of Neurosurgery, Fukushima Medical University School of Medicine, Fukushima (Japan); Natsume, Atsushi, E-mail: anatsume@med.nagoya-u.ac.jp [Department of Neurosurgery, Nagoya University School of Medicine, Nagoya (Japan)] [Department of Neurosurgery, Nagoya University School of Medicine, Nagoya (Japan); Iwami, Kenichiro; Ohka, Fumiharu [Department of Neurosurgery, Nagoya University School of Medicine, Nagoya (Japan)] [Department of Neurosurgery, Nagoya University School of Medicine, Nagoya (Japan); Kuchimaru, Takahiro; Kizaka-Kondoh, Shinae [Department of Biomolecular Engineering, Tokyo Institute of Technology Graduate School of Bioscience and Biotechnology, Yokohama (Japan)] [Department of Biomolecular Engineering, Tokyo Institute of Technology Graduate School of Bioscience and Biotechnology, Yokohama (Japan); Ito, Kengo [National Center for Geriatrics and Gerontology, Aichi (Japan)] [National Center for Geriatrics and Gerontology, Aichi (Japan); Saito, Kiyoshi [Department of Neurosurgery, Fukushima Medical University School of Medicine, Fukushima (Japan)] [Department of Neurosurgery, Fukushima Medical University School of Medicine, Fukushima (Japan); Sugita, Sachi; Hoshino, Tsuneyoshi [MICRON Inc.Medical Facilities Support Department, Aichi (Japan)] [MICRON Inc.Medical Facilities Support Department, Aichi (Japan); Wakabayashi, Toshihiko [Department of Neurosurgery, Nagoya University School of Medicine, Nagoya (Japan)] [Department of Neurosurgery, Nagoya University School of Medicine, Nagoya (Japan)

2013-03-29T23:59:59.000Z

253

Combining multi-objective optimization and bayesian model averaging to calibrate forecast ensembles of soil hydraulic models  

SciTech Connect (OSTI)

Most studies in vadose zone hydrology use a single conceptual model for predictive inference and analysis. Focusing on the outcome of a single model is prone to statistical bias and underestimation of uncertainty. In this study, we combine multi-objective optimization and Bayesian Model Averaging (BMA) to generate forecast ensembles of soil hydraulic models. To illustrate our method, we use observed tensiometric pressure head data at three different depths in a layered vadose zone of volcanic origin in New Zealand. A set of seven different soil hydraulic models is calibrated using a multi-objective formulation with three different objective functions that each measure the mismatch between observed and predicted soil water pressure head at one specific depth. The Pareto solution space corresponding to these three objectives is estimated with AMALGAM, and used to generate four different model ensembles. These ensembles are post-processed with BMA and used for predictive analysis and uncertainty estimation. Our most important conclusions for the vadose zone under consideration are: (1) the mean BMA forecast exhibits similar predictive capabilities as the best individual performing soil hydraulic model, (2) the size of the BMA uncertainty ranges increase with increasing depth and dryness in the soil profile, (3) the best performing ensemble corresponds to the compromise (or balanced) solution of the three-objective Pareto surface, and (4) the combined multi-objective optimization and BMA framework proposed in this paper is very useful to generate forecast ensembles of soil hydraulic models.

Vrugt, Jasper A [Los Alamos National Laboratory; Wohling, Thomas [NON LANL

2008-01-01T23:59:59.000Z

254

Data:3e229ce1-bd61-4a63-8987-c707c3a4d4cd | Open Energy Information  

Open Energy Info (EERE)

9ce1-bd61-4a63-8987-c707c3a4d4cd 9ce1-bd61-4a63-8987-c707c3a4d4cd No revision has been approved for this page. It is currently under review by our subject matter experts. Jump to: navigation, search Loading... 1. Basic Information 2. Demand 3. Energy << Previous 1 2 3 Next >> Basic Information Utility name: City of Duncan, Oklahoma (Utility Company) Effective date: End date if known: Rate name: Security Lighting- (100W SV on existing 23 ft. fiberglass Pole- Underground Wiring) Sector: Lighting Description: This rate schedule is available on an annual basis to any customer for illumination of outdoor areas. Source or reference: ISU Documentation Rate Binder Ted #9 Source Parent: Comments Applicability Demand (kW) Minimum (kW): Maximum (kW): History (months): Energy (kWh) Minimum (kWh): Maximum (kWh):

255

Enaction and Enactive Interfaces: A Handbook of Terms 3 7(-%+!.++)3$%4!)+*'%+!8!.(-%+!  

E-Print Network [OSTI]

: A Handbook of Terms to a fundamental limit in the technology, the force resolution is constant overEnaction and Enactive Interfaces: A Handbook of Terms 3 7(-%+!.++)3$%4!)+*'%+!8!.(-%+! 9-(9+-&'+/! Jean Loup Florens [ACROE&INPG] Thomas Hulin [DLR] Jorge Juan Gil [CEIT] Pierre Davy [MIRALab] Force

Paris-Sud XI, Université de

256

Enaction and Enactive Interfaces: A Handbook of Terms 3 7(-%+!.++)3$%4!  

E-Print Network [OSTI]

Enaction and Enactive Interfaces: A Handbook of Terms 3 7(-%+!.++)3$%4! Jean Loup Florens [ACROE to the user of the effort sensed by the remote robot. This second meaning, conse- quently, does not refer in teleoperation. Also, it is not a mean to implement a physical full coupling. Various studies show however

Paris-Sud XI, Université de

257

Preparation of 3,3'-azobis(6-amino-1,2,4,5-tetrazine)  

SciTech Connect (OSTI)

The compound of the structure ##STR1## where a, b, c, d and e are 0 or 1 and a+b+c+d+e is from 0 to 5 is disclosed together with the species 3,3'-azobis(6-amino-1,2,4,5-tetrazine) and a process of preparing such compounds.

Hiskey, Michael A. (Los Alamos, NM); Chavez, David E. (Rancho de Taos, NM); Naud, Darren (Los Alamos, NM)

2002-01-01T23:59:59.000Z

258

Twisted 3D N=4 supersymmetric YM on deformed A{sub 3}{sup *} lattice  

SciTech Connect (OSTI)

We study a class of twisted 3D N=4 supersymmetric Yang-Mills (SYM) theory on particular 3-dimensional lattice L{sub 3D} formally denoted as L{sub 3D}{sup su{sub 3}u{sub 1}} and given by non-trivial fibration L{sub 1D}{sup u{sub 1}}L{sub 2D}{sup su{sub 3}} with base L{sub 2D}{sup su{sub 3}}=A{sub 2}{sup *}, the weight lattice of SU(3). We first, develop the twisted 3D N=4 SYM in continuum by using superspace method where the scalar supercharge Q is manifestly exhibited. Then, we show how to engineer the 3D lattice L{sub 3D}{sup su{sub 3}u{sub 1}} that host this theory. After that we build the lattice action S{sub latt} invariant under the following three points: (i) U(N) gauge invariance, (ii) BRST symmetry, (iii) the S{sub 3} point group symmetry of L{sub 3D}{sup su{sub 3}u{sub 1}}. Other features such as reduction to twisted 2D supersymmetry with 8 supercharges living on L{sub 2D}?L{sub 2D}{sup su{sub 2}u{sub 1}}, the extension to twisted maximal 5D SYM with 16 supercharges on lattice L{sub 5D}?L{sub 5D}{sup su{sub 4}u{sub 1}} as well as the relation with known results are also given.

Saidi, El Hassan [Lab of High Energy Physics, Modeling and Simulations, Faculty of Science, University Mohamed V-Agdal, Morocco and Centre of Physics and Mathematics, CPM, Rabat (Morocco)] [Lab of High Energy Physics, Modeling and Simulations, Faculty of Science, University Mohamed V-Agdal, Morocco and Centre of Physics and Mathematics, CPM, Rabat (Morocco)

2014-01-15T23:59:59.000Z

259

Material Property Correlations: Comparisons between FRAPCON-3.4, FRAPTRAN 1.4, and MATPRO  

SciTech Connect (OSTI)

The U.S. Nuclear Regulatory Commission (NRC) uses the computer codes FRAPCON-3 and FRAPTRAN to model steady state and transient fuel behavior, respectively, in regulatory analysis. In order to effectively model fuel behavior, material property correlations must be used for a wide range of operating conditions (e.g. temperature and burnup). In this sense, a 'material property' is a physical characteristic of the material whose quantitative value is necessary in the analysis process. Further, the property may be used to compare the benefits of one material versus another. Generally speaking, the material properties of interest in regulatory analysis of nuclear fuel behavior are mechanical or thermodynamic in nature. The issue of what is and is not a 'material property' will never be universally resolved. In this report, properties such as thermal conductivity are included. Other characteristics of the material (e.g. fission gas release) are considered 'models' rather than properties, and are discussed elsewhere. Still others (e.g., neutron absorption cross-section) are simply not required in this specific analysis. The material property correlations for the FRAPCON-3 and FRAPTRAN computer codes were documented in NUREG/CR-6534 and NUREG/CR-6739, respectively. Some of these have been modified or updated since the original code documentation was published. The primary purpose of this report is to consolidate the current material property correlations used in FRAPCON-3 and FRAPTRAN into a single document. Material property correlations for oxide fuels, including uranium dioxide (UO2) and mixed oxide (MOX) fuels, are described in Section 2. Throughout this document, the term MOX will be used to describe fuels that are blends of uranium and plutonium oxides, (U,Pu)O2. The properties for uranium dioxide with other additives (e.g., gadolinia) are also discussed. Material property correlations for cladding materials and gases are described in Sections 3 and 4, respectively. In addition to describing the material property correlations used in the subroutines of FRAPCON-3 and FRAPTRAN, this report also provides a variety of comparisons between material property correlations and data. Although they are frequently identical, comparisons are made between the material property correlations used in the FRAPCON-3 and FRAPTRAN codes. Comparisons are also made between the material property correlations used in MATPRO, a compilation of fuel and cladding material property correlations with an extensive history of used with various fuel performance and severe accident codes. For a number of reasons, consistency between the material property correlations in FRAPCON-3, FRAPTRAN, and MATPRO has never been complete. However, the current versions of FRAPCON-3 and FRAPTRAN use a relatively consistent set of correlations for the properties that are used by both codes. The material property correlations in the most recent version of MATPRO are documented in Volume 4 of NUREG/CR-6150. In addition to comparison of the various correlations, correlation-to-data comparisons are also made with FRAPCON-3, FRAPTRAN, and MATPRO. All comparisons made in this report are based on the material property correlations used in the most recent version of the FRAPCON-3 and FRAPTRAN codes, FRAPCON-3.4 and FRAPTRAN 1.4. The source code for each material property correlation discussed will be provided for FRAPCON-3.4 and FRAPTRAN 1.4 (see appendix) as well as a range of applicability and an estimate of uncertainty where possible.

Luscher, Walter G.; Geelhood, Kenneth J.

2010-08-01T23:59:59.000Z

260

198 Int. J. High Performance Computing and Networking, Vol. 4, Nos. 3/4, 2006 Copyright 2006 Inderscience Enterprises Ltd.  

E-Print Network [OSTI]

198 Int. J. High Performance Computing and Networking, Vol. 4, Nos. 3/4, 2006 Copyright © 2006 Performance Computing and Networking, Vol. 4, Nos. 3/4, pp.198­206. Biographical notes: Xiao Chen, J. (2006) `Improved schemes for power-efficient broadcast in ad hoc networks', Int. J. High

Shen, Jian - Department of Mathematics, Texas State University

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261

High-performance anode based on porous Co3O4 nanodiscs. | EMSL  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

performance anode based on porous Co3O4 nanodiscs. High-performance anode based on porous Co3O4 nanodiscs. Abstract: In this article, two-dimensional, Co3O4 hexagonal nanodiscs are...

262

Forecast of U. S. Refinery Demand for NGL's (natural gas liquids) in 1978-1985  

SciTech Connect (OSTI)

A forecast of U.S. Refinery Demand for NGL's (Natural Gas Liquids) in 1978-1985 is based on a predicted 1.4%/yr decline in motor gasoline consumption from 7.4 to 6.7 million bbl/day (Mbd), including a 2.6%/yr reduction from 5.3 to 4.4 Mbd for automobiles and a 1.3%/yr growth from 2.1 to 2.3 Mbd for trucks, because of slow growth rates in the U.S. automobile fleet (1.1%/yr) and average annual miles driven (0.9%/yr), a 3.9%/yr growth in average mileage from 14.2 to 18.6 mpg, and diesel penetration to the automobile market which should increase from 0.3 to 3.3%. Leaded gasoline's share is expected to decline from 68% of the market (5.1 Mbd, including 0.8 Mbd leaded premium) to 24% (1.7 Mbd, leaded regular only), including a drop from 56 to 6% for automobiles and from approx. 100 to 60% for trucks. This will require increased production of clean-octane reformates and alkylates and reduce the need for straight-run gasolines, but because of the decline in the total gasoline demand, these changes should be minimal. Butane demand from outside-refinery production should decrease by 5-6%/yr, and natural gasoline will be consumed according to available production as an isopentane source.

Laskosky, J.

1980-01-01T23:59:59.000Z

263

Data:9c4fe0ae-4cb3-4f45-90d8-3d1502cec763 | Open Energy Information  

Open Energy Info (EERE)

fe0ae-4cb3-4f45-90d8-3d1502cec763 fe0ae-4cb3-4f45-90d8-3d1502cec763 No revision has been approved for this page. It is currently under review by our subject matter experts. Jump to: navigation, search Loading... 1. Basic Information 2. Demand 3. Energy << Previous 1 2 3 Next >> Basic Information Utility name: Lea County Electric Coop, Inc Effective date: 2009/08/30 End date if known: Rate name: Primary Service under 500 kW Sector: Industrial Description: Available system-wide, under contract, for petroleum pumping, pipeline pumping, government agencies, industrial uses, and such other service in conjuction therewith and incidental thereto, supplied at one point of delivery, measured by watt-hour meter, where facilities of adequate capacity and suitable potential are adjacent to the premises to be served under 500 kW demand.

264

Data:41c3bed4-dee1-4b04-8f4c-e407fe4ce490 | Open Energy Information  

Open Energy Info (EERE)

bed4-dee1-4b04-8f4c-e407fe4ce490 bed4-dee1-4b04-8f4c-e407fe4ce490 No revision has been approved for this page. It is currently under review by our subject matter experts. Jump to: navigation, search Loading... 1. Basic Information 2. Demand 3. Energy << Previous 1 2 3 Next >> Basic Information Utility name: United Illuminating Co Effective date: 2013/01/01 End date if known: Rate name: Rate MH - Underground Acorn Fixture 175 Watt Sector: Lighting Description: Source or reference: www.uinet.com Source Parent: Comments Applicability Demand (kW) Minimum (kW): Maximum (kW): History (months): Energy (kWh) Minimum (kWh): Maximum (kWh): History (months): Service Voltage Minimum (V): Maximum (V): Character of Service Voltage Category: Phase Wiring: << Previous 1 2 3 Next >> << Previous 1 2 3 Next >>

265

Aero III/IV Sheet 3 Solutions 1 A. G. Walton i +}, +} 4, . 4  

E-Print Network [OSTI]

. Uhv }(! @Olp }! }+}# . 4, 5l}+} 5,+4 5}, @ 4 7l = Uhv }("@# @ Olp }"@# +} 4@5,+}# . 4, 5l}+} 5,+4 5- lating residues for simple poles: 4@+4 . }%, @ s+},@t+}, where s @ 4>t @ 4 . }%= , Uhv }(hl@% @ s+}, t

Walton, Andrew G

266

Supporting Information Electric Field Reversal of Na2SO4, (NH4)2SO4, and Na2CO3 relative to CaCl2  

E-Print Network [OSTI]

water 1 M Na2 CO3 1 M Na2 SO4 1 M (NH4 )2 SO4 2 M CaCl2 2 M NaCl Re (2) (a.u.) Incident Infrared (cm -1.8 M CaCl2, 1.8 M NaCl, 1.1 M Na2CO3, 1.1 M Na2SO4, and 1.1 M (NH4)2SO4 salt solutions. ExperimentalS1 Supporting Information Electric Field Reversal of Na2SO4, (NH4)2SO4, and Na2CO3 relative to CaCl

267

Microsoft Word - Showerhead Guidance _3-4__final_ _2_.docx  

Broader source: Energy.gov (indexed) [DOE]

Showerhead Enforcement Guidance Showerhead Enforcement Guidance Issued: March 4, 2011 On February 3, 2011, the Department of Energy withdrew from OMB review, as unwarranted, the draft interpretative rule setting out the Department's views on the definition of a "showerhead" under the Energy Policy Conservation Act (EPCA) - and we formally withdraw that draft interpretive rule from consideration today. Nevertheless, to provide certainty to all stakeholders, the Department has decided to issue this brief enforcement guidance setting forth how it intends to enforce the law enacted by Congress in 1992 - yet do so in way that avoids needless economic dislocation. * * * * * * * * * * * * * * * * * * * * * * * * * * * * In May 2010, the Department of Energy issued a draft interpretative rule on the definition

268

1993 Solid Waste Reference Forecast Summary  

SciTech Connect (OSTI)

This report, which updates WHC-EP-0567, 1992 Solid Waste Reference Forecast Summary, (WHC 1992) forecasts the volumes of solid wastes to be generated or received at the US Department of Energy Hanford Site during the 30-year period from FY 1993 through FY 2022. The data used in this document were collected from Westinghouse Hanford Company forecasts as well as from surveys of waste generators at other US Department of Energy sites who are now shipping or plan to ship solid wastes to the Hanford Site for disposal. These wastes include low-level and low-level mixed waste, transuranic and transuranic mixed waste, and nonradioactive hazardous waste.

Valero, O.J.; Blackburn, C.L. [Westinghouse Hanford Co., Richland, WA (United States); Kaae, P.S.; Armacost, L.L.; Garrett, S.M.K. [Pacific Northwest Lab., Richland, WA (United States)

1993-08-01T23:59:59.000Z

269

"ch01" --2009/7/4 --4:33 --page 3 --#3 Thermo-and hydro-mechanical processes along faults during rapid slip  

E-Print Network [OSTI]

"ch01" -- 2009/7/4 -- 4:33 -- page 3 -- #3 Thermo- and hydro-mechanical processes along faults at highly stressed frictional micro-contacts, and (2) Thermal pressurization of fault-zone pore fluid. Both

270

Data:4cef4c8c-61a0-4b70-9022-c4e56362a6c3 | Open Energy Information  

Open Energy Info (EERE)

cef4c8c-61a0-4b70-9022-c4e56362a6c3 cef4c8c-61a0-4b70-9022-c4e56362a6c3 No revision has been approved for this page. It is currently under review by our subject matter experts. Jump to: navigation, search Loading... 1. Basic Information 2. Demand 3. Energy << Previous 1 2 3 Next >> Basic Information Utility name: Southwest Rural Elec Assn Inc Effective date: 2010/11/01 End date if known: Rate name: Large Power, Commercial Primary Service Sector: Commercial Description: * Available to Commercial or industrial service over 25kw. Minimum:Higher of 25kw or 90% of previous June-September demand. Delivery of power at primary voltage will be billed with 3% discount given on demand and energy charges. All bills are adjusted by applicable taxes. Summer rates cover May- October and Winter cover November- April.

271

Metrics for Evaluating the Accuracy of Solar Power Forecasting (Presentation)  

SciTech Connect (OSTI)

This presentation proposes a suite of metrics for evaluating the performance of solar power forecasting.

Zhang, J.; Hodge, B.; Florita, A.; Lu, S.; Hamann, H.; Banunarayanan, V.

2013-10-01T23:59:59.000Z

272

PSO (FU 2101) Ensemble-forecasts for wind power  

E-Print Network [OSTI]

PSO (FU 2101) Ensemble-forecasts for wind power Analysis of the Results of an On-line Wind Power Ensemble- forecasts for wind power (FU2101) a demo-application producing quantile forecasts of wind power correct) quantile forecasts of the wind power production are generated by the application. However

273

Forecasting Uncertainty Related to Ramps of Wind Power Production  

E-Print Network [OSTI]

Forecasting Uncertainty Related to Ramps of Wind Power Production Arthur Bossavy, Robin Girard - The continuous improvement of the accuracy of wind power forecasts is motivated by the increasing wind power study. Key words : wind power forecast, ramps, phase er- rors, forecasts ensemble. 1 Introduction Most

Boyer, Edmond

274

The effect of multinationality on management earnings forecasts  

E-Print Network [OSTI]

and number of countries withforeign subsidiaries) are significantly positively related to more optimistic management earnings forecasts....

Runyan, Bruce Wayne

2005-08-29T23:59:59.000Z

275

Distribution of Wind Power Forecasting Errors from Operational Systems (Presentation)  

SciTech Connect (OSTI)

This presentation offers new data and statistical analysis of wind power forecasting errors in operational systems.

Hodge, B. M.; Ela, E.; Milligan, M.

2011-10-01T23:59:59.000Z

276

Data:978f1b5f-3c3d-4e3d-a651-4a9ca2555504 | Open Energy Information  

Open Energy Info (EERE)

b5f-3c3d-4e3d-a651-4a9ca2555504 b5f-3c3d-4e3d-a651-4a9ca2555504 No revision has been approved for this page. It is currently under review by our subject matter experts. Jump to: navigation, search Loading... 1. Basic Information 2. Demand 3. Energy << Previous 1 2 3 Next >> Basic Information Utility name: Monroe County Elec Coop, Inc Effective date: 2013/04/01 End date if known: Rate name: Security Lights(Metered 100 W.H.P Sodium) Sector: Commercial Description: Unmetered automatic Mercury Vapor Lighting and High Pressure Lighting, shall be available to consumers of the cooperative at the following rates and conditions. Source or reference: http://www.mcec.org/Documents/2013%20Rates.pdf Source Parent: Comments Applicability Demand (kW) Minimum (kW): Maximum (kW): History (months): Energy (kWh)

277

Data:4ee3cd08-a1ca-4c12-aad0-f84efa3f97d4 | Open Energy Information  

Open Energy Info (EERE)

cd08-a1ca-4c12-aad0-f84efa3f97d4 cd08-a1ca-4c12-aad0-f84efa3f97d4 No revision has been approved for this page. It is currently under review by our subject matter experts. Jump to: navigation, search Loading... 1. Basic Information 2. Demand 3. Energy << Previous 1 2 3 Next >> Basic Information Utility name: Oconto Falls Water & Light Comm Effective date: 2010/10/13 End date if known: Rate name: Rg-2 Residential Service Optional Time-of-Day Single Phase 9am-9pm with Parallel Generation(20kW or less) Sector: Residential Description: Power Cost Adjustment Clause - All metered rates shall be subject to a positive or negative power cost adjustment charge equivalent to the amount by which the current cost of power (per kilowatt-hour of sales) is greater or lesser than the base cost of power purchased (per kilowatt-hour of sales). The base cost of power (U) is $0.0847 per kilowatt-hour.

278

Advanced Numerical Weather Prediction Techniques for Solar Irradiance Forecasting : : Statistical, Data-Assimilation, and Ensemble Forecasting  

E-Print Network [OSTI]

J.B. , 2004: Probabilistic wind power forecasts using localforecast intervals for wind power output using NWP-predictedsources such as wind and solar power. Integration of this

Mathiesen, Patrick James

2013-01-01T23:59:59.000Z

279

Advanced Numerical Weather Prediction Techniques for Solar Irradiance Forecasting : : Statistical, Data-Assimilation, and Ensemble Forecasting  

E-Print Network [OSTI]

United States California Solar Initiative Coastally Trappedparticipants in the California Solar Initiative (CSI)on location. In California, solar irradiance forecasts near

Mathiesen, Patrick James

2013-01-01T23:59:59.000Z

280

Data:4bab9d18-03e8-4f3c-b4ba-4fa84219a750 | Open Energy Information  

Open Energy Info (EERE)

bab9d18-03e8-4f3c-b4ba-4fa84219a750 bab9d18-03e8-4f3c-b4ba-4fa84219a750 No revision has been approved for this page. It is currently under review by our subject matter experts. Jump to: navigation, search Loading... 1. Basic Information 2. Demand 3. Energy << Previous 1 2 3 Next >> Basic Information Utility name: Wisconsin Rapids W W & L Comm Effective date: 2009/01/01 End date if known: Rate name: Street Lighting HPS 250w Overhead Sector: Lighting Description: This schedule will be applied to municipal street lighting. The utility will furnish, install, and maintain street lighting. The Purchase Cost Adjustment Clause, a charge per all kWh that varies monthly, applies to this rate. Source or reference: http://www.wrwwlc.com/StreetYard.aspx Source Parent: Comments Applicability Demand (kW)

Note: This page contains sample records for the topic "forecast 4 3" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


281

Detiding DART buoy data for real-time extraction of source coefficients for operational tsunami forecasting  

E-Print Network [OSTI]

U.S. Tsunami Warning Centers use real-time bottom pressure (BP) data transmitted from a network of buoys deployed in the Pacific and Atlantic Oceans to tune source coefficients of tsunami forecast models. For accurate coefficients and therefore forecasts, tides at the buoys must be accounted for. In this study, five methods for coefficient estimation are compared, each of which accounts for tides differently. The first three subtract off a tidal prediction based on (1) a localized harmonic analysis involving 29 days of data immediately preceding the tsunami event, (2) 68 pre-existing harmonic constituents specific to each buoy, and (3) an empirical orthogonal function fit to the previous 25 hrs of data. Method (4) is a Kalman smoother that uses method (1) as its input. These four methods estimate source coefficients after detiding. Method (5) estimates the coefficients simultaneously with a two-component harmonic model that accounts for the tides. The five methods are evaluated using archived data from eleven...

Percival, Donald B; Eble, Marie C; Gica, Edison; Huang, Paul Y; Mofjeld, Harold O; Spillane, Michael C; Titov, Vasily V; Tolkova, Elena I

2014-01-01T23:59:59.000Z

282

Forecasting the Dark Energy Measurement with Baryon Acoustic Oscillations: Prospects for the LAMOST surveys  

E-Print Network [OSTI]

The Large Area Multi-Object Spectroscopic Telescope (LAMOST) is a dedicated spectroscopic survey telescope being built in China, with an effective aperture of 4 meters and equiped with 4000 fibers. Using the LAMOST telescope, one could make redshift survey of the large scale structure (LSS). The baryon acoustic oscillation (BAO) features in the LSS power spectrum provide standard rulers for measuring dark energy and other cosmological parameters. In this paper we investigate the meaurement precision achievable for a few possible surveys: (1) a magnitude limited survey of all galaxies, (2) a survey of color selected red luminous galaxies (LRG), and (3) a magnitude limited, high density survey of zsurvey, we use the halo model to estimate the bias of the sample, and calculate the effective volume. We then use the Fisher matrix method to forecast the error on the dark energy equation of state and other cosmological parameters for different survey parameters. In a few cases we also use the Markov Chain Monte Carlo (MCMC) method to make the same forecast as a comparison. The fiber time required for each of these surveys is also estimated. These results would be useful in designing the surveys for LAMOST.

Xin Wang; Xuelei Chen; Zheng Zheng; Fengquan Wu; Pengjie Zhang; Yongheng Zhao

2008-09-17T23:59:59.000Z

283

E-Print Network 3.0 - arab emirates 4-7 Sample Search Results  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

4 Bahrain 3 Denmark 3 Ethiopia 3 Finland 3 Italy 3 Lithuania 3... Thailand 12 Jordan 11 Colombia 10 Iraq 10 Mexico 10 Nigeria 10 Sri-Lanka 10 Libyan-Arab-Jamahiriya 9......

284

Annual Energy Outlook Forecast Evaluation 2004  

Gasoline and Diesel Fuel Update (EIA)

2004 2004 * The Office of Integrated Analysis and Forecasting of the Energy Information Administration (EIA) has produced annual evaluations of the accuracy of the Annual Energy Outlook (AEO) since 1996. Each year, the forecast evaluation expands on the prior year by adding the projections from the most recent AEO and replacing the historical year of data with the most recent. The forecast evaluation examines the accuracy of AEO forecasts dating back to AEO82 by calculating the average absolute percent errors for several of the major variables for AEO82 through AEO2004. (There is no report titled Annual Energy Outlook 1988 due to a change in the naming convention of the AEOs.) The average absolute percent error is the simple mean of the absolute values of the percentage difference between the Reference Case projection and the

285

Annual Energy Outlook 2001 - Forecast Comparisons  

Gasoline and Diesel Fuel Update (EIA)

Forecast Comparisons Forecast Comparisons Economic Growth World Oil Prices Total Energy Consumption Residential and Commercial Sectors Industrial Sector Transportation Sector Electricity Natural Gas Petroleum Coal Three other organizations—Standard & Poor’s DRI (DRI), the WEFA Group (WEFA), and the Gas Research Institute (GRI) [95]—also produce comprehensive energy projections with a time horizon similar to that of AEO2001. The most recent projections from those organizations (DRI, Spring/Summer 2000; WEFA, 1st Quarter 2000; GRI, January 2000), as well as other forecasts that concentrate on petroleum, natural gas, and international oil markets, are compared here with the AEO2001 projections. Economic Growth Differences in long-run economic forecasts can be traced primarily to

286

energy data + forecasting | OpenEI Community  

Open Energy Info (EERE)

energy data + forecasting energy data + forecasting Home FRED Description: Free Energy Database Tool on OpenEI This is an open source platform for assisting energy decision makers and policy makers in formulating policies and energy plans based on easy to use forecasting tools, visualizations, sankey diagrams, and open data. The platform will live on OpenEI and this community was established to initiate discussion around continuous development of this tool, integrating it with new datasets, and connecting with the community of users who will want to contribute data to the tool and use the tool for planning purposes. Links: FRED beta demo energy data + forecasting Syndicate content 429 Throttled (bot load) Error 429 Throttled (bot load) Throttled (bot load) Guru Meditation: XID: 2084382122

287

Wind Speed Forecasting for Power System Operation  

E-Print Network [OSTI]

In order to support large-scale integration of wind power into current electric energy system, accurate wind speed forecasting is essential, because the high variation and limited predictability of wind pose profound challenges to the power system...

Zhu, Xinxin

2013-07-22T23:59:59.000Z

288

Evaluation of hierarchical forecasting for substitutable products  

Science Journals Connector (OSTI)

This paper addresses hierarchical forecasting in a production planning environment. Specifically, we examine the relative effectiveness of Top-Down (TD) and Bottom-Up (BU) strategies for forecasting the demand for a substitutable product (which belongs to a family) as well as the demand for the product family under different types of family demand processes. Through a simulation study, it is revealed that the TD strategy consistently outperforms the BU strategy for forecasting product family demand. The relative superiority of the TD strategy further improves by as much as 52% as the product demand variability increases and the degree of substitutability between the products decreases. This phenomenon, however, is not always true for forecasting the demand for the products within the family. In this case, it is found that there are a few situations wherein the BU strategy marginally outperforms the TD strategy, especially when the product demand variability is high and the degree of product substitutability is low.

S. Viswanathan; Handik Widiarta; R. Piplani

2008-01-01T23:59:59.000Z

289

Testing Competing High-Resolution Precipitation Forecasts  

E-Print Network [OSTI]

Testing Competing High-Resolution Precipitation Forecasts Eric Gilleland Research Prediction Comparison Test D1 D2 D = D1 ­ D2 copyright NCAR 2013 Loss Differential Field #12;Spatial Prediction Comparison Test Introduced by Hering and Genton

Gilleland, Eric

290

Forecasting Capital Expenditure with Plan Data  

Science Journals Connector (OSTI)

The short-term forecasting of capital expenditure presents one of the most difficult problems ... reason is that year-to-year fluctuations in capital expenditure are extremely wide. Some simple methods which...

W. Gerstenberger

1977-01-01T23:59:59.000Z

291

Forecasting Agriculturally Driven Global Environmental Change  

Science Journals Connector (OSTI)

...of each variable on GDP (13, 17), combined with global GDP projections (14...population, and per capita GDP, combined with projected...measure of agricultural demand for water, is forecast...Just as demand for energy is the major cause...

David Tilman; Joseph Fargione; Brian Wolff; Carla D'Antonio; Andrew Dobson; Robert Howarth; David Schindler; William H. Schlesinger; Daniel Simberloff; Deborah Swackhamer

2001-04-13T23:59:59.000Z

292

Updated Satellite Technique to Forecast Heavy Snow  

Science Journals Connector (OSTI)

Certain satellite interpretation techniques have proven quite useful in the heavy snow forecast process. Those considered best are briefly reviewed, and another technique is introduced. This new technique was found to be most valuable in cyclonic ...

Edward C. Johnston

1995-06-01T23:59:59.000Z

293

Annual Energy Outlook Forecast Evaluation 2005  

Gasoline and Diesel Fuel Update (EIA)

Forecast Evaluation 2005 Forecast Evaluation 2005 Annual Energy Outlook Forecast Evaluation 2005 Annual Energy Outlook Forecast Evaluation 2005 * Then Energy Information Administration (EIA) produces projections of energy supply and demand each year in the Annual Energy Outlook (AEO). The projections in the AEO are not statements of what will happen but of what might happen, given the assumptions and methodologies used. The projections are business-as-usual trend projections, given known technology, technological and demographic trends, and current laws and regulations. Thus, they provide a policy-neutral reference case that can be used to analyze policy initiatives. EIA does not propose or advocate future legislative and regulatory changes. All laws are assumed to remain as currently enacted; however, the impacts of emerging regulatory changes, when defined, are reflected.

294

Data:3ee066d4-6d8d-4ae0-864a-4c38795d4f72 | Open Energy Information  

Open Energy Info (EERE)

66d4-6d8d-4ae0-864a-4c38795d4f72 66d4-6d8d-4ae0-864a-4c38795d4f72 No revision has been approved for this page. It is currently under review by our subject matter experts. Jump to: navigation, search Loading... 1. Basic Information 2. Demand 3. Energy << Previous 1 2 3 Next >> Basic Information Utility name: Poudre Valley R E A, Inc Effective date: 2013/01/01 End date if known: Rate name: RRS - Renewable Sector: Description: Available as a voluntary rate rider to all rate classes. Service: Single-phase (and three-phase where available), 60 hertz, at standard voltages. Source or reference: http://www.pvrea.com/members/index.html Source Parent: Comments Rate according to Tri-State G&T's current charge for renewable resources. Applicability Demand (kW) Minimum (kW): Maximum (kW): History (months):

295

Forecasting energy markets using support vector machines  

Science Journals Connector (OSTI)

Abstract In this paper we investigate the efficiency of a support vector machine (SVM)-based forecasting model for the next-day directional change of electricity prices. We first adjust the best autoregressive SVM model and then we enhance it with various related variables. The system is tested on the daily Phelix index of the German and Austrian control area of the European Energy Exchange (???) wholesale electricity market. The forecast accuracy we achieved is 76.12% over a 200day period.

Theophilos Papadimitriou; Periklis Gogas; Efthimios Stathakis

2014-01-01T23:59:59.000Z

296

Analysis of the Ce 3d-4d4d Auger spectrum with the use of synchrotron radiation  

Science Journals Connector (OSTI)

We report 3d-4d4d Auger spectra of Ce metal with the use of synchrotron radiation to excite the initial core hole. By sweeping the excitation energy through the 3d?4f threshold, it has been possible to excite different initial states selectively, enabling us to analyze the complex spectrum in terms of different contributions arising from various decay channels.

D. D. Sarma; C. Carbone; R. Cimino; P. Sen; W. Gudat; W. Eberhardt

1993-03-01T23:59:59.000Z

297

Data:2b3c78ab-8fdd-4e3a-82f4-a3ef5766ea2b | Open Energy Information  

Open Energy Info (EERE)

c78ab-8fdd-4e3a-82f4-a3ef5766ea2b c78ab-8fdd-4e3a-82f4-a3ef5766ea2b No revision has been approved for this page. It is currently under review by our subject matter experts. Jump to: navigation, search Loading... 1. Basic Information 2. Demand 3. Energy << Previous 1 2 3 Next >> Basic Information Utility name: Memphis Light, Gas & Water Effective date: 2011/10/01 End date if known: Rate name: MANUFACTURING POWER RATE - PART C Sector: Industrial Description: * Manufacturing - Contract Demand greater than 15,000 kW but less than 25,000 kW Fixed monthly charge = Customer Charge ($1,500) + TVA Administrative Charge ($350) Source or reference: http://www.mlgw.com/images/content/files/pdf_rates/MSCOct11.pdf Source Parent: Comments Applicability Demand (kW) Minimum (kW): Maximum (kW): History (months):

298

Buildings Energy Data Book: 3.4 Commercial Environmental Emissions  

Buildings Energy Data Book [EERE]

6 6 2009 Methane Emissions for U.S. Commercial Buildings Energy Production, by Fuel Type (1) Fuel Type Petroleum 0.5 Natural Gas 26.8 Coal 0.3 Wood 0.4 Electricity (2) 50.5 Total 78.5 Note(s): Source(s): MMT CO2 Equivalent 1) Sources of emissions include oil and gas production, processing, and distribution; coal mining; and utility and site combustion. Carbon Dioxide equivalent units are calculated by converting methane emissions to carbon dioxide emissions (methane's global warming potential is 23 times that of carbon dioxide). 2) Refers to emissions of electricity generators attributable to the buildings sector. EIA, Emissions of Greenhouse Gases in the U.S. 2009, Mar. 2011, Table 18, p. 37 for energy production emissions; EPA, Inventory of U.S. Greenhouse Gas

299

Type Ia Supernovae Yielding Distances with 3-4% Precision  

E-Print Network [OSTI]

The luminosities of Type Ia supernovae (SN), the thermonuclear explosions of white dwarf stars, vary systematically with their intrinsic color and light-curve decline rate. These relationships have been used to calibrate their luminosities to within ~0.14-0.20 mag from broadband optical light curves, yielding individual distances accurate to ~7-10%. Here we identify a subset of SN Ia that erupt in environments having high ultraviolet surface brightness and star-formation surface density. When we apply a steep model extinction law, these SN can be calibrated to within ~0.065-0.075 mag, corresponding to ~3-4% in distance -- the best yet with SN Ia by a substantial margin. The small scatter suggests that variations in only one or two progenitor properties account for their light-curve-width/color/luminosity relation.

Kelly, Patrick L; Burke, David L; Hicken, Malcolm; Ganeshalingam, Mohan; Zheng, Weikang

2014-01-01T23:59:59.000Z

300

Theranostics 2014, Vol. 4, Issue 3 http://www.thno.org  

E-Print Network [OSTI]

Theranostics 2014, Vol. 4, Issue 3 http://www.thno.org 267 TThheerraannoossttiiccss 2014; 4 with select Ivyspring International Publisher #12;Theranostics 2014, Vol. 4, Issue 3 http://www.thno.org 268

Craik, Charles S.

Note: This page contains sample records for the topic "forecast 4 3" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


301

Reductive deuteration of 4-benzamido-3-oxo-2-(4-methoxycarbonylbutylidene)tetrahydrothiophene to give the 3-deuteroxy derivative and its prototropic isomerization  

Science Journals Connector (OSTI)

The prototropic rearrangement of a deuterated 3-hydroxytetrahydrothiophene with a ?,?-exocyclic double bond is accompanied by deuterium migration along the double bond. Thus 4-r-benzamido-3-t-deuteroxy-3-c-deuter...

S. D. Mikhno; T. M. Filippova; I. G. Suchkova

1983-10-01T23:59:59.000Z

302

complete Genome Sequences of Krokinobacter sp. Strain 4H-3-7-5 and Lacinutrix sp. Strain 5H-3-7-4, Polysaccharide-Degrading Members of the Family Flavobacteriaceae  

E-Print Network [OSTI]

LenPennacchio 4 ,SamPitluck 4 ,RoxanneTapia 3 ,TanjaLen Pennacchio 4 , Sam Pitluck 4 , Roxanne Tapia 3 , Tanja

Klippel, Barbara

2013-01-01T23:59:59.000Z

303

A synchroton single crystal X-ray structure determination of (NH4)3Mo4P3O16: A microporous molybdenum phosphate with Mo4O6+4 cubes  

Science Journals Connector (OSTI)

Reaction of MoO3, Mo, (NH4)2HPO4, H3PO4, and H2O in a mole ratio of 1.4:1:3.6:6:120 at 360C for 16 hr gives a nearly quantitative yield of black cubes of (NH4)3Mo4P3O16 (1). The structure of (1) was solved from data collected on a 30 30 30 ?m3 crystal at the National Synchrotron Light Source at Brookhaven National Laboratory. The compound is cubic, space group P43m, with a = 7.736(2) , and was refined to residuals of R(Rw) = 0.035(0.049). Phosphate (1) is isotypic with Cs3Mo4P3O16 and is related to the iron arsenate mineral pharmacosiderite. Unlike the Cs+ compound, (1) can be rendered microporous by thermal removal of the NH+4 cations to give ammonia with the charge compensating proton remaining behind in the lattice. Water absorption isotherms show the reversible uptake of 5.6 wt% water, which corresponds to over 15 vol% void space in (1) after the NH3 removal. The framework consists of Mo4O6+4 cubes, with six Mo?Mo contacts of 2.570(4) , joined together together by (PO4)62 along ?100? to form a 3-D network composed of tetramers of triply edge-sharing Mo-centered octahedra and phosphate groups alternating along all ?100? directions. The windows and cavities in (1) are large enough that the NH+4 cations occupy several different positions in the unit cell.

H.E. King Jr.; Linda A. Mundi; Karl G. Strohmaier; Robert C. Haushalter

1991-01-01T23:59:59.000Z

304

Efficient near-infrared quantum cutting in NaYF4: Ho3+, Yb3+ for solar photovoltaics  

Science Journals Connector (OSTI)

Quantum cutting converting a ultraviolet photon into two near-infrared photons has been demonstrated by spectroscopic measurements in NaYF4:Ho3+,Yb3+...

Deng, Kaimo; Gong, Tao; Hu, Lingxun; Wei, Xiantao; Chen, Yonghu; Yin, Min

2011-01-01T23:59:59.000Z

305

Annual Energy Outlook 2006 with Projections to 2030 - Forecast Comparisons  

Gasoline and Diesel Fuel Update (EIA)

Forecast Comparisons Forecast Comparisons Annual Energy Outlook 2006 with Projections to 2030 Only GII produces a comprehensive energy projection with a time horizon similar to that of AEO2006. Other organizations address one or more aspects of the energy markets. The most recent projection from GII, as well as others that concentrate on economic growth, international oil prices, energy consumption, electricity, natural gas, petroleum, and coal, are compared here with the AEO2006 projections. Economic Growth In the AEO2006 reference case, the projected growth in real GDP, based on 2000 chain-weighted dollars, is 3.0 percent per year from 2004 to 2030 (Table 19). For the period from 2004 to 2025, real GDP growth in the AEO2006 reference case is similar to the average annual growth projected in AEO2005. The AEO2006 projections of economic growth are based on the August short-term forecast of GII, extended by EIA through 2030 and modified to reflect EIA’s view on energy prices, demand, and production.

306

Analysis of PG&E`s residential end-use metered data to improve electricity demand forecasts -- final report  

SciTech Connect (OSTI)

This report summarizes findings from a unique project to improve the end-use electricity load shape and peak demand forecasts made by the Pacific Gas and Electric Company (PG&E) and the California Energy Commission (CEC). First, the direct incorporation of end-use metered data into electricity demand forecasting models is a new approach that has only been made possible by recent end-use metering projects. Second, and perhaps more importantly, the joint-sponsorship of this analysis has led to the development of consistent sets of forecasting model inputs. That is, the ability to use a common data base and similar data treatment conventions for some of the forecasting inputs frees forecasters to concentrate on those differences (between their competing forecasts) that stem from real differences of opinion, rather than differences that can be readily resolved with better data. The focus of the analysis is residential space cooling, which represents a large and growing demand in the PG&E service territory. Using five years of end-use metered, central air conditioner data collected by PG&E from over 300 residences, we developed consistent sets of new inputs for both PG&E`s and CEC`s end-use load shape forecasting models. We compared the performance of the new inputs both to the inputs previously used by PG&E and CEC, and to a second set of new inputs developed to take advantage of a recently added modeling option to the forecasting model. The testing criteria included ability to forecast total daily energy use, daily peak demand, and demand at 4 P.M. (the most frequent hour of PG&E`s system peak demand). We also tested the new inputs with the weather data used by PG&E and CEC in preparing their forecasts.

Eto, J.H.; Moezzi, M.M.

1993-12-01T23:59:59.000Z

307

Data:Eeb4cafe-5457-449b-bfa3-59f07981ac6b | Open Energy Information  

Open Energy Info (EERE)

Eeb4cafe-5457-449b-bfa3-59f07981ac6b Eeb4cafe-5457-449b-bfa3-59f07981ac6b No revision has been approved for this page. It is currently under review by our subject matter experts. Jump to: navigation, search Loading... 1. Basic Information 2. Demand 3. Energy << Previous 1 2 3 Next >> Basic Information Utility name: City of Springfield, Oregon (Utility Company) Effective date: 2012/04/01 End date if known: Rate name: Green Power GP-1 Sector: Residential Description: SUB's Green Power (GP-1) rate is an optional service. The monthly rate is the sum of the following charges: 100 KWH Block: $1.00/month per 100 kWh Block. Customers may purchase an unlimited number of 100 kWh blocks; however, SUB reserves the right to limit the number of blocks sold to an individual customer based on their forecasted electric load in order to allow all customers to participate in the program.

308

Forecasting aggregate time series with intermittent subaggregate components: top-down versus bottom-up forecasting  

Science Journals Connector (OSTI)

......optimum value through a grid-search algorithm...method outperformed TD for estimating the aggregate data series...variable, there is no benefit of forecasting each subaggregate...forecasting strategies in estimating the `component'-level...WILLEMAIN, T. R., SMART, C. N., SHOCKOR......

S. Viswanathan; Handik Widiarta; Rajesh Piplani

2008-07-01T23:59:59.000Z

309

Ramp Forecasting Performance from Improved Short-Term Wind Power Forecasting: Preprint  

SciTech Connect (OSTI)

The variable and uncertain nature of wind generation presents a new concern to power system operators. One of the biggest concerns associated with integrating a large amount of wind power into the grid is the ability to handle large ramps in wind power output. Large ramps can significantly influence system economics and reliability, on which power system operators place primary emphasis. The Wind Forecasting Improvement Project (WFIP) was performed to improve wind power forecasts and determine the value of these improvements to grid operators. This paper evaluates the performance of improved short-term wind power ramp forecasting. The study is performed for the Electric Reliability Council of Texas (ERCOT) by comparing the experimental WFIP forecast to the current short-term wind power forecast (STWPF). Four types of significant wind power ramps are employed in the study; these are based on the power change magnitude, direction, and duration. The swinging door algorithm is adopted to extract ramp events from actual and forecasted wind power time series. The results show that the experimental short-term wind power forecasts improve the accuracy of the wind power ramp forecasting, especially during the summer.

Zhang, J.; Florita, A.; Hodge, B. M.; Freedman, J.

2014-05-01T23:59:59.000Z

310

Gas-Phase Stability and Structure of the Cluster Ions CF3+(CO)n, CF3+(N2)n, CF3+(CF4)n, and CF4H+(CF4)n  

Science Journals Connector (OSTI)

The gas-phase reactions of CF+, CF2+, and CF3+ with the halocarbons CF3Cl, CF3Br, CF3I, CF4, and C2F6 have been studied using a variable-temp.-selected ... Curvature was obsd. in the pseudo-first-order kinetics plots for the reactions of CF+ with CF4 and C2F6. ... The reactions of CF2+ with CF4 and C2F6 produce CF3+ and C2F5+, resp. ...

Kenzo Hiraoka; Masayuki Nasu; Susumu Fujimaki; Edgar W. Ignacio; Shinichi Yamabe

1996-03-28T23:59:59.000Z

311

An evaluation of the mutagenic potential of 2,3-diaminofluorene, 2,3-benzanthracene, 3,4-diaminotoluene and 3-nitrobiphenyl  

E-Print Network [OSTI]

-Response Test 43, 7 Data-Points of Dose-Response Tests Nos. 1-3 Inclusive. P~ae 28 30 31 51 52 53 56 INTRODUCTION The aromatic hydrocarbon compounds 2, 3-diaminofluorene (2, 3-DAF), 2, 3-benzanthracene (2, 3-BA), 3, 4-diaminotoluene (3, 4-DAT... their effects, both short- and long-term, on man. These effects include both genetic mutation and the induction of cancer. Nutation consists of abrupt heritable changes in the composition or arrangement of genes, which are composed of deoxyribonucleic acid...

Heffernan, Michael John

1980-01-01T23:59:59.000Z

312

Surveillance Guide - CMS 3.3 CMS 3.4 Temporary Changes  

Broader source: Energy.gov (indexed) [DOE]

TEMPORARY CHANGES TEMPORARY CHANGES 1.0 Objective The objective of this surveillance is to evaluate the effectiveness of the contractor's program for controlling temporary changes to the facility. Such changes include temporary modifications, temporary procedure changes, and tests or experiments. The Facility Representative reviews the status of temporary modifications, distribution of temporary procedure changes, and examines tests or experiments. 2.0 References 2.1 DOE 5700.6C, Quality Assurance 2.2 DOE-STD-1073-93, Guide for Operational Configuration Management 3.0 Requirements Implemented This surveillance is conducted to implement requirements CM-0009 and CM-0011 from the RL S/RID. These requirements are derived from

313

Improved synthesis and properties of 3,6-diamino-1,2,4,5-tetrazine and 3,6-dihydrazino-1,2,4,5-tetrazine  

SciTech Connect (OSTI)

The chemical preparation of: (a) 3,6-diamino-1,2,4,5-tetrazine and (b) 3,6-dihydrazino-1,2,4,5-tetrazine is described. The explosive performance of the compounds was calculated with the BKW code. 3 refs., 2 tabs.

Coburn, M.D.; Ott, D.G.; Stine, J.R.; Stinecipher, M.M. (Los Alamos National Lab., NM (USA))

1989-01-01T23:59:59.000Z

314

Invertible Symmetric 3 x 3 Binary Matrices and GQ(2,4)  

E-Print Network [OSTI]

We reveal an intriguing connection between the set of 27 (disregarding the identity) invertible symmetric 3 x 3 matrices over GF(2) and the points of the generalized quadrangle GQ(2,4). The 15 matrices with eigenvalue one correspond to a copy of the subquadrangle GQ(2,2), whereas the 12 matrices without eigenvalues have their geometric counterpart in the associated double-six. The fine details of this correspondence, including the precise algebraic meaning/analogue of collinearity, are furnished by employing the representation of GQ(2,4) as a quadric in PG(5,2) of projective index one. An interesting physical application of our findings is also mentioned.

Andrea Blunck; Peter Levay; Metod Saniga; Peter Vrana

2010-09-09T23:59:59.000Z

315

IDIQ BS Ex A (Rev. 3.1, 4/9/13) Exhibit A General Conditions  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

1, 4/9/13) Exhibit A General Conditions 1, 4/9/13) Exhibit A General Conditions Page 1 of 31 EXHIBIT "A" GENERAL CONDITIONS TABLE OF CONTENTS GC Title Page GC-1 DEFINITIONS (Aug 2012) ......................................................................................................... 3 GC-2A AUTHORIZED REPRESENTATIVES, COMMUNICATIONS AND NOTICES (Jan 2010) ....... 3 GC-3 INDEPENDENT CONTRACTOR (Jun 2009) ............................................................................ 4 GC-4 SUBCONTRACT INTERPRETATION (Jun 2009) .................................................................... 4 GC-5 NOTICE TO PROCEED (Jul 2011) ........................................................................................... 4 GC-6 ORDER OF PRECEDENCE (Jun 2009) ................................................................................... 5

316

Atmos. Chem. Phys., 4, 24012423, 2004 www.atmos-chem-phys.org/acp/4/2401/  

E-Print Network [OSTI]

. This paper presents three-dimensional prognos- tic O3 simulations with parameterized gas-phase photochem- istry from the new NOGAPS-ALPHA middle atmosphere forecast model. We compare 5-day NOGAPS-ALPHA hind forecasts of case 1. For case 2, both NOGAPS-ALPHA and ECMWF 114-h forecasts of the split vortex structure

Paris-Sud XI, Université de

317

NATIONAL AND GLOBAL FORECASTS WEST VIRGINIA PROFILES AND FORECASTS  

E-Print Network [OSTI]

Spending 4 Figure 1.4: United States Total Employment 4 Figure 1.5: United States Unemployment Statistics 5 Virginia's Counties 35 West Virginia's Metropolitan Statistical Areas 38 CHAPTER 5: SPECiAL TOPiCS, HEALTHRGiNiA ECONOMY Figure 2.1: Total Employment 9 Figure 2.2: West Virginia Employment Distribution by Sector (2012

Mohaghegh, Shahab

318

Data:8b04cdd4-7a3b-4fdf-93c4-5a574dc6db16 | Open Energy Information  

Open Energy Info (EERE)

4cdd4-7a3b-4fdf-93c4-5a574dc6db16 4cdd4-7a3b-4fdf-93c4-5a574dc6db16 No revision has been approved for this page. It is currently under review by our subject matter experts. Jump to: navigation, search Loading... 1. Basic Information 2. Demand 3. Energy << Previous 1 2 3 Next >> Basic Information Utility name: City of Schuyler, Nebraska (Utility Company) Effective date: 2013/01/01 End date if known: Rate name: Rate Schedule 60- Farm and Residential Service Outside Corporate Limits Sector: Residential Description: To single family residences and farm operations outside the Corporate Limits, single- or three-phase service at standard secondary voltages with all service supplied through a single meter. Source or reference: http://schuylerdevelopment.net/storage/Electric_Rates_2013.pdf

319

E-Print Network 3.0 - arch 2d-4d echocardiography Sample Search...  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

for: arch 2d-4d echocardiography Page: << < 1 2 3 4 5 > >> 1 Kentucky Children's Heart Center Summary: Heart Association, American Society of Echocardiography, American...

320

Data:995e3b8c-6820-4e27-b1cc-4f560d92dba3 | Open Energy Information  

Open Energy Info (EERE)

e3b8c-6820-4e27-b1cc-4f560d92dba3 e3b8c-6820-4e27-b1cc-4f560d92dba3 No revision has been approved for this page. It is currently under review by our subject matter experts. Jump to: navigation, search Loading... 1. Basic Information 2. Demand 3. Energy << Previous 1 2 3 Next >> Basic Information Utility name: Electrical Dist No4 Pinal Cnty Effective date: 2009/01/01 End date if known: Rate name: Night Light Rate- 175 W Mercury Vapor Sector: Lighting Description: Source or reference: ISU Documentation Source Parent: Comments Applicability Demand (kW) Minimum (kW): Maximum (kW): History (months): Energy (kWh) Minimum (kWh): Maximum (kWh): History (months): Service Voltage Minimum (V): Maximum (V): Character of Service Voltage Category: Phase Wiring: << Previous 1 2 3 Next >> << Previous

Note: This page contains sample records for the topic "forecast 4 3" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


321

Data:853f6ea0-a3c2-4bc4-85a4-7c057688746d | Open Energy Information  

Open Energy Info (EERE)

ea0-a3c2-4bc4-85a4-7c057688746d ea0-a3c2-4bc4-85a4-7c057688746d No revision has been approved for this page. It is currently under review by our subject matter experts. Jump to: navigation, search Loading... 1. Basic Information 2. Demand 3. Energy << Previous 1 2 3 Next >> Basic Information Utility name: Grand Electric Coop, Inc Effective date: 2012/07/01 End date if known: Rate name: Unmetered Security Light - 175 MV Sector: Lighting Description: Source or reference: ISU Documentation Source Parent: Comments Applicability Demand (kW) Minimum (kW): Maximum (kW): History (months): Energy (kWh) Minimum (kWh): Maximum (kWh): History (months): Service Voltage Minimum (V): Maximum (V): Character of Service Voltage Category: Phase Wiring: << Previous 1 2 3 Next >> << Previous 1 2 3 Next >>

322

Brillouin light scattering anomalies and new phase transition in Cs5H3(SO4)4 crystals  

E-Print Network [OSTI]

by dielectric measurements [1,4], neutron scattering [5] and NMR spec- troscopy [6], and the vibration spectrum was investigated by IR, Raman, Brillouin and neutron scattering in a wide temperature range [7­10]. NeverthelessBrillouin light scattering anomalies and new phase transition in Cs5H3(SO4)4 crystals S

323

Impact of vegetation fraction from Indian geostationary satellite on short-range weather forecast  

Science Journals Connector (OSTI)

Indian economy is largely depending upon the agricultural productivity and thus influences the trade among the SAARC countries. High-resolution and good-quality regional weather forecasts are necessary for planners, resource managers, insurers and national agro-advisory services. In this study, high resolution updated land-surface state in terms of vegetation fraction (VF) from operational vegetation index products of Indian geostationary satellite (INSAT 3A) sensor (CCD) was utilized in numerical weather prediction (NWP) model (e.g. WRF) to investigate its impact on short-range weather forecast over the control run. Results showed that the updated vegetation fraction from INSAT 3A CCD improved the low-level 24h temperature (?18%) and moisture (?10%) forecast in comparison to control run. The 24h rainfall forecast was also improved (more than 5%) over central and southern India with the use of updated vegetation fraction compared to control experiment. INSAT 3A VF based experiment also showed a net improvement of 27% in surface sensible heat fluxes from WRF in comparison to control experiment when both were compared with area-averaged measurements from Large Aperture Scintillometer (LAS). This triggers the need of more and more use of realistic and updated land surface states through satellite remote sensing data as well as in situ micrometeorological measurements to improve the forecast quality, skill and consistency.

Prashant Kumar; Bimal K. Bhattacharya; P.K. Pal

2013-01-01T23:59:59.000Z

324

6 7 7 3 2 4 5 1 6 -2 0 0 7 F A X : 5 7 2 -4 0 3 8  

E-Print Network [OSTI]

ISO 9001 2010 #12;1. ( ) 2. 3. 4. 400 (JPG ) 500 / ( ) 5. 99 11 31 ( ) 6. yrluo@mx.nthu. edu.tw ( ) 7

Huang, Haimei

325

DOE-HDBK-1011/3-92; DOE Fundamentals Handbook Electrical Science Volume 3 of 4  

Broader source: Energy.gov (indexed) [DOE]

3-92 3-92 JUNE 1992 DOE FUNDAMENTALS HANDBOOK ELECTRICAL SCIENCE Volume 3 of 4 U.S. Department of Energy FSC-6910 Washington, D.C. 20585 Distribution Statement A. Approved for public release; distribution is unlimited. This document has been reproduced directly from the best available copy. Available to DOE and DOE contractors from the Office of Scientific and Technical Information. P. O. Box 62, Oak Ridge, TN 37831; prices available from (615) 576- 8401. Available to the public from the National Technical Information Service, U.S. Department of Commerce, 5285 Port Royal Rd., Springfield, VA 22161. Order No. DE92019787 ELECTRICAL SCIENCE Rev. 0 ES ABSTRACT The Electrical Science Fundamentals Handbook was developed to assist nuclear facility operating contractors provide operators, maintenance personnel, and the technical staff with the

326

Limiting factors for photochemical charge separation in BiVO4/Co3O4, a highly active  

E-Print Network [OSTI]

-free pathway to generate hydrogen fuel from abundant sunlight and water. Potentially, powdered catalysts1 water oxidation kinetics.12,13 Doping with molyb- denum14,15 or tungsten,16 addition of cocatalysts Co to the reduction of the water oxidation potential by Co3O4 10,22 and to the formation of a BiVO4­Co3O4 junction

Osterloh, Frank

327

Subtask 3.4 - Fischer - Tropsch Fuels Development  

SciTech Connect (OSTI)

Under Subtask 3.4, the Energy & Environmental Research Center (EERC) examined the opportunities and challenges facing Fischer??Tropsch (FT) technology in the United States today. Work was completed in two distinct budget periods (BPs). In BP1, the EERC examined the technical feasibility of using modern warm-gas cleanup techniques for FT synthesis. FT synthesis is typically done using more expensive and complex cold-gas sweetening. Warm-gas cleanup could greatly reduce capital and operating costs, making FT synthesis more attractive for domestic fuel production. Syngas was generated from a variety of coal and biomass types; cleaned of sulfur, moisture, and condensables; and then passed over a pilot-scale FT catalyst bed. Laboratory and modeling work done in support of the pilot-scale effort suggested that the catalyst was performing suboptimally with warm-gas cleanup. Long-term trends showed that the catalyst was also quickly deactivating. In BP3, the EERC compared FT catalyst results using warm-gas cleanup to results using cold-gas sweetening. A gas-sweetening absorption system (GSAS) was designed, modeled, and constructed to sweeten syngas between the gasifier and the pilot-scale FT reactor. Results verified that the catalyst performed much better with gas sweetening than it had with warm-gas cleanup. The catalyst also showed no signs of rapid deactivation when the GSAS was running. Laboratory tests in support of this effort verified that the catalyst had deactivated quickly in BP1 because of exposure to syngas, not because of any design flaw with the pilot-scale FT reactor itself. Based on these results, the EERC concludes that the two biggest issues with using syngas treated with warm-gas cleanup for FT synthesis are high concentrations of CO{sub 2} and volatile organic matter. Other catalysts tested by the EERC may be more tolerant of CO{sub 2}, but volatile matter removal is critical to ensuring long-term FT catalyst operation. This subtask was funded through the EERC??U.S. Department of Energy (DOE) Joint Program on Research and Development for Fossil Energy-Related Resources Cooperative Agreement No. DE-FC26-08NT43291. Nonfederal funding for BP1 was provided by the North Dakota Industrial Commission??s (NDIC) Renewable Energy Council.

Joshua Strege; Anthony Snyder; Jason Laumb; Joshua Stanislowski; Michael Swanson

2012-05-01T23:59:59.000Z

328

Data:324efb34-3f4e-4f65-ae02-64b16f834cb4 | Open Energy Information  

Open Energy Info (EERE)

efb34-3f4e-4f65-ae02-64b16f834cb4 efb34-3f4e-4f65-ae02-64b16f834cb4 No revision has been approved for this page. It is currently under review by our subject matter experts. Jump to: navigation, search Loading... 1. Basic Information 2. Demand 3. Energy << Previous 1 2 3 Next >> Basic Information Utility name: Caddo Electric Coop, Inc Effective date: 2007/05/01 End date if known: Rate name: Municipal Water Pumping-Rate 10 Sector: Commercial Description: -Available to irrigation consumers,public authorities,trusts and municipalities or single phase lines for pumping and incidental lighting service. - Subject to Power cost adjustment, Tax adjustment,Load Control Rider and Rate revisions. Source or reference: Rate binder # 4 Source Parent: Comments Applicability Demand (kW) Minimum (kW):

329

Data:C2919ee4-d580-4dc4-959e-3fa28b71dd35 | Open Energy Information  

Open Energy Info (EERE)

19ee4-d580-4dc4-959e-3fa28b71dd35 19ee4-d580-4dc4-959e-3fa28b71dd35 No revision has been approved for this page. It is currently under review by our subject matter experts. Jump to: navigation, search Loading... 1. Basic Information 2. Demand 3. Energy << Previous 1 2 3 Next >> Basic Information Utility name: Harmon Electric Assn Inc Effective date: 2008/10/01 End date if known: Rate name: Schedule DR-02 -02 Dairy Sector: Commercial Description: * Available to dairy loads within our service territory that have backup generation capable of meeting the capacity needs of the dairy operation during peak periods and at other times that an outage interrupts service. Subject to Power Factor Adjustment, Power Cost Adjustment and Gross Receipts Tax Adjustment. Source or reference: Rate binder # 4

330

Cell",1,2,3,4,5,6,7,8  

Office of Legacy Management (LM)

09-4/30/09","4/1/09-4/30/09","4/1/09-4/30/09","4/1/09-4/30/09","4/1/09-4/30/09","4/1/09-4/30/09","4/1/09-4/30/09","4/1/09-4/30/09" 09-4/30/09","4/1/09-4/30/09","4/1/09-4/30/09","4/1/09-4/30/09","4/1/09-4/30/09","4/1/09-4/30/09","4/1/09-4/30/09","4/1/09-4/30/09" "Accumulation Rate:" "(gallons per day for above period)",0.07,0,0,0.7,1.84,0.96,0.86,1.19 "Accumulation Rate:" "(gallons/acre/day for above period)",0.01,0,0,0.11,0.29,0.15,0.13,0.13 "*Data are draft and subject to be modified based on additional quality checks as part of the annual report preparation." "Cell",1,2,3,4,5,6,7,8 "Accumulation period:","5/1/09-5/31/09","5/1/09-5/31/09","5/1/09-5/31/09","5/1/09-5/31/09","5/1/09-5/31/09","5/1/09-5/31/09","5/1/09-5/31/09","5/1/09-5/31/09"

331

Data:984a77f6-4dfd-4ce3-ae4c-9c44b91777c7 | Open Energy Information  

Open Energy Info (EERE)

f6-4dfd-4ce3-ae4c-9c44b91777c7 f6-4dfd-4ce3-ae4c-9c44b91777c7 No revision has been approved for this page. It is currently under review by our subject matter experts. Jump to: navigation, search Loading... 1. Basic Information 2. Demand 3. Energy << Previous 1 2 3 Next >> Basic Information Utility name: Cornhusker Public Power Dist Effective date: 2012/01/01 End date if known: Rate name: Industrial Ethanol Service Sector: Industrial Description: Source or reference: Ilinois State University Rate binder # 10 Source Parent: Comments Applicability Demand (kW) Minimum (kW): Maximum (kW): History (months): Energy (kWh) Minimum (kWh): Maximum (kWh): History (months): Service Voltage Minimum (V): Maximum (V): Character of Service Voltage Category: Phase Wiring: << Previous 1 2 3 Next >> << Previous

332

Data:950ca2d4-6314-4f6b-adb6-c3e798933cd4 | Open Energy Information  

Open Energy Info (EERE)

ca2d4-6314-4f6b-adb6-c3e798933cd4 ca2d4-6314-4f6b-adb6-c3e798933cd4 No revision has been approved for this page. It is currently under review by our subject matter experts. Jump to: navigation, search Loading... 1. Basic Information 2. Demand 3. Energy << Previous 1 2 3 Next >> Basic Information Utility name: Burke-Divide Electric Coop Inc Effective date: 2012/01/01 End date if known: Rate name: A3 Single Phase Low Temperature Grain Drying Sector: Description: AVAILABILITY Available by special permission for low temperature grain drying, aeration and equipment used at a location other than a residence. The transformer capacity required shall not exceed 25 KVA except by special permission. TYPE OF SERVICE Single-phase, 60 cycles, at available secondary voltage. Source or reference: http://www.bdec.coop/Service/Rates/index.html

333

Building Energy Software Tools Directory: Degree Day Forecasts  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Forecasts Forecasts Degree Day Forecasts example chart Quick and easy web-based tool that provides free 14-day ahead degree day forecasts for 1,200 stations in the U.S. and Canada. Degree Day Forecasts charts show this year, last year and three-year average. Historical degree day charts and energy usage forecasts are available from the same site. Keywords degree days, historical weather, mean daily temperature Validation/Testing Degree day data provided by AccuWeather.com, updated daily at 0700. Expertise Required No special expertise required. Simple to use. Users Over 1,000 weekly users. Audience Anyone who needs degree day forecasts (next 14 days) for the U.S. and Canada. Input Select a weather station (1,200 available) and balance point temperature. Output Charts show (1) degree day (heating and cooling) forecasts for the next 14

334

Building Energy Software Tools Directory: Energy Usage Forecasts  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Energy Usage Forecasts Energy Usage Forecasts Energy Usage Forecasts Quick and easy web-based tool that provides free 14-day ahead energy usage forecasts based on the degree day forecasts for 1,200 stations in the U.S. and Canada. The user enters the daily non-weather base load and the usage per degree day weather factor; the tool applies the degree day forecast and displays the total energy usage forecast. Helpful FAQs explain the process and describe various options for the calculation of the base load and weather factor. Historical degree day reports and 14-day ahead degree day forecasts are available from the same site. Keywords degree days, historical weather, mean daily temperature, load calculation, energy simulation Validation/Testing Degree day data provided by AccuWeather.com, updated daily at 0700.

335

Forecasting Market Demand for New Telecommunications Services: An Introduction  

E-Print Network [OSTI]

Forecasting Market Demand for New Telecommunications Services: An Introduction Peter Mc The marketing team of a new telecommunications company is usually tasked with producing forecasts for diverse three decades of experience working with telecommunications operators around the world we seek

McBurney, Peter

336

River Forecast Application for Water Management: Oil and Water?  

Science Journals Connector (OSTI)

Managing water resources generally and managing reservoir operations specifically have been touted as opportunities for applying forecasts to improve decision making. Previous studies have shown that the application of forecasts into water ...

Kevin Werner; Kristen Averyt; Gigi Owen

2013-07-01T23:59:59.000Z

337

Data Mining in Load Forecasting of Power System  

Science Journals Connector (OSTI)

This project applies Data Mining technology to the prediction of electric power system load forecast. It proposes a mining program of electric power load forecasting data based on the similarity of time series .....

Guang Yu Zhao; Yan Yan; Chun Zhou Zhao

2013-01-01T23:59:59.000Z

338

Operational Rainfall and Flow Forecasting for the Panama Canal Watershed  

Science Journals Connector (OSTI)

An integrated hydrometeorological system was designed for the utilization of data from various sensors in the 3300 km2 Panama Canal Watershed for the purpose of producing ... forecasts. These forecasts are used b...

Konstantine P. Georgakakos; Jason A. Sperfslage

2005-01-01T23:59:59.000Z

339

Power System Load Forecasting Based on EEMD and ANN  

Science Journals Connector (OSTI)

In order to fully mine the characteristics of load data and improve the accuracy of power system load forecasting, a load forecasting model based on Ensemble Empirical Mode ... is proposed in this paper. Firstly,...

Wanlu Sun; Zhigang Liu; Wenfan Li

2011-01-01T23:59:59.000Z

340

U.S. Regional Demand Forecasts Using NEMS and GIS  

E-Print Network [OSTI]

Forecasts Using NEMS and GIS National Climatic Data Center.with Changing Boundaries." Use of GIS to Understand Socio-Forecasts Using NEMS and GIS Appendix A. Map Results Gallery

Cohen, Jesse A.; Edwards, Jennifer L.; Marnay, Chris

2005-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "forecast 4 3" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


341

Beyond "Partly Sunny": A Better Solar Forecast | Department of...  

Energy Savers [EERE]

Beyond "Partly Sunny": A Better Solar Forecast Beyond "Partly Sunny": A Better Solar Forecast December 7, 2012 - 10:00am Addthis The Energy Department is investing in better solar...

342

The Energy Demand Forecasting System of the National Energy Board  

Science Journals Connector (OSTI)

This paper presents the National Energy Boards long term energy demand forecasting model in its present state of ... results of recent research at the NEB. Energy demand forecasts developed with the aid of this....

R. A. Preece; L. B. Harsanyi; H. M. Webster

1980-01-01T23:59:59.000Z

343

Forecasting Energy Demand Using Fuzzy Seasonal Time Series  

Science Journals Connector (OSTI)

Demand side energy management has become an important issue for energy management. In order to support energy planning and policy decisions forecasting the future demand is very important. Thus, forecasting the f...

?Irem Ual Sar?; Basar ztaysi

2012-01-01T23:59:59.000Z

344

Policy Flash 2014-01 Acquisition Guide 15.4-3 Negotiation Documentatio...  

Energy Savers [EERE]

1 Acquisition Guide 15.4-3 Negotiation Documentation: Pre-negotiation Plan & the Price Negotiation Memorandum Policy Flash 2014-01 Acquisition Guide 15.4-3 Negotiation...

345

Policy Flash 2014-01 Acquisition Guide 15.4-3 Negotiation Documentatio...  

Broader source: Energy.gov (indexed) [DOE]

2014-01 Acquisition Guide 15.4-3 Negotiation Documentation: Pre-negotiation Plan & the Price Negotiation Memorandum Policy Flash 2014-01 Acquisition Guide 15.4-3 Negotiation...

346

Atomic Computer Simulations of Defect Migration in 3C and 4H...  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Computer Simulations of Defect Migration in 3C and 4H-SiC. Atomic Computer Simulations of Defect Migration in 3C and 4H-SiC. Abstract: Knowledge of the migration of intrinsic point...

347

Methanol Synthesis from CO2 Hydrogenation over a Pd4/In2O3 Model...  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Methanol Synthesis from CO2 Hydrogenation over a Pd4In2O3 Model Catalyst: A Combined DFT and Kinetic Study. Methanol Synthesis from CO2 Hydrogenation over a Pd4In2O3 Model...

348

Operating Experience Level 3: Radcalc V4.1 Software Defect |...  

Broader source: Energy.gov (indexed) [DOE]

OE-3 2011-01: Radcalc V4.1 Software Defect Operating Experience Level 3: Radcalc V4.1 Software Defect More Documents & Publications RADCALC DOE-STD-3013-2012 DOE-HDBK-1129-2007...

349

Synthesis and properties of titanomagnetite (Fe3-xTixO4) nanoparticles...  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

properties of titanomagnetite (Fe3-xTixO4) nanoparticles: A tunable solid-state Fe(IIIII) redox system. Synthesis and properties of titanomagnetite (Fe3-xTixO4) nanoparticles: A...

350

chain 2chain 3 4row of 6 racks and 2 row of 5 racks  

E-Print Network [OSTI]

chain 1 chain 2chain 3 4row of 6 racks and 2 row of 5 racks chain 4 chain 10 6 5 4 3 2 1 chain 5 chain 6 f b fb f b b f f b b f 1 2 3 4 5 6 1 2 3 4 5 1:50 Rack A with 52 HU (2500*900*600) door door HV.0 1840.0 300.0 #12;chain 10 Layout of 2nd floorchain 4 chain 3 chain 2 chain 5 chain 6 chain 101:50 Rack

351

Data:8e141dff-1fd3-4e5c-9dfa-0e3e4ecbe199 | Open Energy Information  

Open Energy Info (EERE)

1dff-1fd3-4e5c-9dfa-0e3e4ecbe199 1dff-1fd3-4e5c-9dfa-0e3e4ecbe199 No revision has been approved for this page. It is currently under review by our subject matter experts. Jump to: navigation, search Loading... 1. Basic Information 2. Demand 3. Energy << Previous 1 2 3 Next >> Basic Information Utility name: City of Lompoc, California (Utility Company) Effective date: 2012/07/01 End date if known: Rate name: Domestic Service- Mobile Home Park Sector: Residential Description: This schedule applies to domestic lighting, heating, cooking and single phase domestic power service supplied to multi-family accommodations in a mobile home park through one meter on a single premises that is sub-metered to all individual tenants. A minimum charge of $3.97 is applied to this rate Source or reference: ISu Documentation

352

Data:7361fb39-0c07-4e3d-95c3-9e4fbdb40fe9 | Open Energy Information  

Open Energy Info (EERE)

fb39-0c07-4e3d-95c3-9e4fbdb40fe9 fb39-0c07-4e3d-95c3-9e4fbdb40fe9 No revision has been approved for this page. It is currently under review by our subject matter experts. Jump to: navigation, search Loading... 1. Basic Information 2. Demand 3. Energy << Previous 1 2 3 Next >> Basic Information Utility name: City of Wayne, Nebraska (Utility Company) Effective date: End date if known: Rate name: Commercial General Service Demand (Three Phase) Primary Sector: Commercial Description: *Applicable to existing or to customers with demands of 50 kilowatts, but not more than 1,000 kilowatts for three (3) consecutive months, whose entire requirements are taken through one meter, under a contract of standard form. Customers will pay a monthly service charge, plus the summer or winter energy rate and a demand charge.

353

Data:1b0f0ce3-ceb3-4295-93e4-fa2b77c76cb4 | Open Energy Information  

Open Energy Info (EERE)

ce3-ceb3-4295-93e4-fa2b77c76cb4 ce3-ceb3-4295-93e4-fa2b77c76cb4 No revision has been approved for this page. It is currently under review by our subject matter experts. Jump to: navigation, search Loading... 1. Basic Information 2. Demand 3. Energy << Previous 1 2 3 Next >> Basic Information Utility name: Cuming County Public Pwr Dist Effective date: 2011/12/14 End date if known: Rate name: Security Lighting Unmetered Lights 250W MV Sector: Lighting Description: Source or reference: Ilinois State University Rate binder # 10 Source Parent: Comments Applicability Demand (kW) Minimum (kW): Maximum (kW): History (months): Energy (kWh) Minimum (kWh): Maximum (kWh): History (months): Service Voltage Minimum (V): Maximum (V): Character of Service Voltage Category: Phase Wiring: << Previous 1 2 3 Next >>

354

Data:88ed1db3-4aa2-4f42-8e28-3caea878985a | Open Energy Information  

Open Energy Info (EERE)

db3-4aa2-4f42-8e28-3caea878985a db3-4aa2-4f42-8e28-3caea878985a No revision has been approved for this page. It is currently under review by our subject matter experts. Jump to: navigation, search Loading... 1. Basic Information 2. Demand 3. Energy << Previous 1 2 3 Next >> Basic Information Utility name: Southeast Electric Coop, Inc Effective date: 2010/01/01 End date if known: Rate name: Electric Heat Commercial Sector: Commercial Description: Source or reference: Rate Binder Kelly 11 ISU Documentation Source Parent: Comments Applicability Demand (kW) Minimum (kW): Maximum (kW): History (months): Energy (kWh) Minimum (kWh): Maximum (kWh): History (months): Service Voltage Minimum (V): Maximum (V): Character of Service Voltage Category: Phase Wiring: << Previous 1 2 3 Next >> << Previous

355

Data:97cd7ceb-dc45-4b97-afd3-f910cba4d5c3 | Open Energy Information  

Open Energy Info (EERE)

dc45-4b97-afd3-f910cba4d5c3 dc45-4b97-afd3-f910cba4d5c3 No revision has been approved for this page. It is currently under review by our subject matter experts. Jump to: navigation, search Loading... 1. Basic Information 2. Demand 3. Energy << Previous 1 2 3 Next >> Basic Information Utility name: Stanton County Public Pwr Dist Effective date: 2012/01/01 End date if known: Rate name: Municipal Street Lighting District Owned Metered 175W MV Sector: Commercial Description: Source or reference: ISU Archives Source Parent: Comments Applicability Demand (kW) Minimum (kW): Maximum (kW): History (months): Energy (kWh) Minimum (kWh): Maximum (kWh): History (months): Service Voltage Minimum (V): Maximum (V): Character of Service Voltage Category: Phase Wiring: << Previous 1 2 3 Next >> << Previous

356

Data:20cf523a-3ab4-4c81-8ffd-8fa5151755b3 | Open Energy Information  

Open Energy Info (EERE)

cf523a-3ab4-4c81-8ffd-8fa5151755b3 cf523a-3ab4-4c81-8ffd-8fa5151755b3 No revision has been approved for this page. It is currently under review by our subject matter experts. Jump to: navigation, search Loading... 1. Basic Information 2. Demand 3. Energy << Previous 1 2 3 Next >> Basic Information Utility name: La Plata Electric Assn, Inc Effective date: 2012/09/01 End date if known: Rate name: Transmission Coincident Peak Sector: Commercial Description: Source or reference: http://www.lpea.com/services/rates.html Source Parent: Comments Applicability Demand (kW) Minimum (kW): Maximum (kW): History (months): Energy (kWh) Minimum (kWh): Maximum (kWh): History (months): Service Voltage Minimum (V): Maximum (V): Character of Service Voltage Category: Phase Wiring: << Previous 1 2 3 Next >> << Previous

357

Wind power forecasting in U.S. electricity markets.  

SciTech Connect (OSTI)

Wind power forecasting is becoming an important tool in electricity markets, but the use of these forecasts in market operations and among market participants is still at an early stage. The authors discuss the current use of wind power forecasting in U.S. ISO/RTO markets, and offer recommendations for how to make efficient use of the information in state-of-the-art forecasts.

Botterud, A.; Wang, J.; Miranda, V.; Bessa, R. J.; Decision and Information Sciences; INESC Porto

2010-04-01T23:59:59.000Z

358

Wind power forecasting in U.S. Electricity markets  

SciTech Connect (OSTI)

Wind power forecasting is becoming an important tool in electricity markets, but the use of these forecasts in market operations and among market participants is still at an early stage. The authors discuss the current use of wind power forecasting in U.S. ISO/RTO markets, and offer recommendations for how to make efficient use of the information in state-of-the-art forecasts. (author)

Botterud, Audun; Wang, Jianhui; Miranda, Vladimiro; Bessa, Ricardo J.

2010-04-15T23:59:59.000Z

359

Sandia National Laboratories: Solar Energy Forecasting and Resource...  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Energy, Modeling & Analysis, News, News & Events, Partnership, Photovoltaic, Renewable Energy, Solar, Systems Analysis The book, Solar Energy Forecasting and Resource...

360

2.3.1.2.4 Optical Doppler effect  

Science Journals Connector (OSTI)

This document is part of Subvolume A of Volume 3 Oceanography of Landolt-Brnstein - Group V Geophysics.

G. Krause

1986-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "forecast 4 3" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


361

Synthesis and bio-functionalization of multifunctional magnetic Fe3O4@Y2O3:Eu nanocomposites  

E-Print Network [OSTI]

Synthesis and bio-functionalization of multifunctional magnetic Fe3O4@Y2O3:Eu nanocomposites Zhi Ya for the synthesis of multifunctional, magnetic, luminescent nanocomposites with Fe3O4 nanoparticles as the core is independent of particle size and hence mono- dispersity is less crucial, leading to lower synthesis costs

Hammock, Bruce D.

362

Data transforms with exponential smoothing methods of forecasting  

Science Journals Connector (OSTI)

Abstract In this paper, transforms are used with exponential smoothing, in the quest for better forecasts. Two types of transforms are explored: those which are applied to a time series directly, and those which are applied indirectly to the prediction errors. The various transforms are tested on a large number of time series from the M3 competition, and ANOVA is applied to the results. We find that the non-transformed time series is significantly worse than some transforms on the monthly data, and on a distribution-based performance measure for both annual and quarterly data.

Adrian N. Beaumont

2014-01-01T23:59:59.000Z

363

Gaseous 3,4-Pyridyne and the Formation of Diazabiphenylene Jerry Kramer and R. Stephen Berry*  

E-Print Network [OSTI]

, Illinois 60637. Received March 15, 1972 Abstract: Flash photolysis of pyridine-3-diazonium-4,4-pyridyne wasprecursor of 3,4-pyridyne. generated by flash photolytic decomposition. This precursor seemed on the pyrolysis of pyridine-2,3- dicarboxylic anhydride showed that the expected in- sertion as well as 1,2- and 1

Berry, R. Stephen

364

Rapid Ammonia Gas Transport Accounts for Futile Transmembrane Cycling under NH3/NH4  

E-Print Network [OSTI]

Rapid Ammonia Gas Transport Accounts for Futile Transmembrane Cycling under NH3/NH4 + Toxicity) seedlings is predominately of the gaseous NH3 species, rather than the NH4 + ion. Influx of 13 NH3/13 NH4 + , which exceeded 200 mmol g­1 h­1 , was not commensurate with membrane depolarization or increases in root

Britto, Dev T.

365

Hydrothermal synthesis, off-axis electron holography and magnetic properties of Fe3O4 nanoparticles  

E-Print Network [OSTI]

-sized Fe3O4 have been prepared by various methods such as sol­ gel processing, hydrothermal synthesisHydrothermal synthesis, off-axis electron holography and magnetic properties of Fe3O4 nanoparticles Jülich, Germany. Abstract. The hydrothermal synthesis of Fe3O4 nanoparticles (NPs) (

Dunin-Borkowski, Rafal E.

366

Application of a Combination Forecasting Model in Logistics Parks' Demand  

Science Journals Connector (OSTI)

Logistics parks demand is an important basis of establishing the development policy of logistics industry and logistics infrastructure for planning. In order to improve the forecast accuracy of logistics parks demand, a combination forecasting ... Keywords: Logistics parks' demand, combine, simulated annealing algorithm, grey forecast model, exponential smoothing method

Chen Qin; Qi Ming

2010-05-01T23:59:59.000Z

367

A BAYESIAN MODEL COMMITTEE APPROACH TO FORECASTING GLOBAL SOLAR RADIATION  

E-Print Network [OSTI]

in the realm of solar radiation forecasting. In this work, two forecasting models: Autoregressive Moving1 A BAYESIAN MODEL COMMITTEE APPROACH TO FORECASTING GLOBAL SOLAR RADIATION. The very first results show an improvement brought by this approach. 1. INTRODUCTION Solar radiation

Boyer, Edmond

368

PSO (FU 2101) Ensemble-forecasts for wind power  

E-Print Network [OSTI]

PSO (FU 2101) Ensemble-forecasts for wind power Wind Power Ensemble Forecasting Using Wind Speed the problems of (i) transforming the meteorological ensembles to wind power ensembles and, (ii) correcting) data. However, quite often the actual wind power production is outside the range of ensemble forecast

369

Accuracy of near real time updates in wind power forecasting  

E-Print Network [OSTI]

· advantage: no NWP data necessary ­ very actual shortest term forecasts possible · wind power inputAccuracy of near real time updates in wind power forecasting with regard to different weather October 2007 #12;EMS/ECAM 2007 ­ Nadja Saleck Outline · Study site · Wind power forecasting - method

Heinemann, Detlev

370

CSUF ECONOMIC OUTLOOK AND FORECASTS MIDYEAR UPDATE -APRIL 2014  

E-Print Network [OSTI]

CSUF ECONOMIC OUTLOOK AND FORECASTS MIDYEAR UPDATE - APRIL 2014 Anil Puri, Ph.D. -- Director, Center for Economic Analysis and Forecasting -- Dean, Mihaylo College of Business and Economics Mira Farka, Ph.D. -- Co-Director, Center for Economic Analysis and Forecasting -- Associate Professor

de Lijser, Peter

371

Forecasting wave height probabilities with numerical weather prediction models  

E-Print Network [OSTI]

Forecasting wave height probabilities with numerical weather prediction models Mark S. Roulstona; Numerical weather prediction 1. Introduction Wave forecasting is now an integral part of operational weather methods for generating such forecasts from numerical model output from the European Centre for Medium

Stevenson, Paul

372

CALIFORNIA ENERGY DEMAND 2008-2018 STAFF REVISED FORECAST  

E-Print Network [OSTI]

CALIFORNIA ENERGY COMMISSION CALIFORNIA ENERGY DEMAND 2008-2018 STAFF REVISED FORECAST. Mitch Tian prepared the peak demand forecast. Ted Dang prepared the historic energy consumption data in California and for climate zones within those areas. The staff California Energy Demand 2008-2018 forecast

373

AUTOMATION OF ENERGY DEMAND FORECASTING Sanzad Siddique, B.S.  

E-Print Network [OSTI]

AUTOMATION OF ENERGY DEMAND FORECASTING by Sanzad Siddique, B.S. A Thesis submitted to the Faculty OF ENERGY DEMAND FORECASTING Sanzad Siddique, B.S. Marquette University, 2013 Automation of energy demand of the energy demand forecasting are achieved by integrating nonlinear transformations within the models

Povinelli, Richard J.

374

SUN MON TUE WED THR FRI SAT SUN MON TUE WED THR FRI SAT 1 2 3 4 5 6 7 1 2 3 4  

E-Print Network [OSTI]

SUN MON TUE WED THR FRI SAT SUN MON TUE WED THR FRI SAT 1 2 3 4 5 6 7 1 2 3 4 Closed Closed Closed 30 31 26 27 28 29 Closed Open Open Closed Open Open Open 8a-5p 8a-5p 8a-5p 8a-5p 8a-5p SUN MON TUE WED THR FRI SAT SUN MON TUE WED THR FRI SAT 1 2 3 1 2 3 4 5 6 7 Closed Open Open Open Open Open Closed

Dyer, Bill

375

2009-2010 4 2010-2011 3  

E-Print Network [OSTI]

/A 13 Faculty Teaching Load Total number of semester credit hours in organized teaching courses taught for the last three fall semesters. 4 Employment Profile (In field within one year of graduation). For each

376

Tunable bluegreen emission phosphor Ca2PO4Cl:Ce3+, Tb3+: Luminescence and energy transfer  

Science Journals Connector (OSTI)

Abstract A series of tunable emission phosphors Ca2PO4Cl:Ce3+, Tb3+ are synthesized by a high temperature solid-state method. The emitting color of Ca2PO4Cl:Ce3+, Tb3+ can be adjusted from blue to green with increasing the Tb3+ doping content. The energy transfer from Ce3+ to Tb3+ in Ca2PO4Cl has been validated, and proved to be a resonant type via a dipoledipole interaction. The critical distance of energy transfer is calculated by the concentration quenching method, and about 1.77nm. Ca2PO4Cl:Ce3+, Tb3+ has a broad excitation band in the near ultraviolet range, and produces green emission, therefore, it may have potential application as near ultraviolet convertible phosphor for white light emitting diodes.

Panlai Li; Zhijun Wang; Zhiping Yang; Qinglin Guo

2014-01-01T23:59:59.000Z

377

Data:Dfeb10f5-b315-4b62-880c-3b952e4d4e63 | Open Energy Information  

Open Energy Info (EERE)

Dfeb10f5-b315-4b62-880c-3b952e4d4e63 Dfeb10f5-b315-4b62-880c-3b952e4d4e63 No revision has been approved for this page. It is currently under review by our subject matter experts. Jump to: navigation, search Loading... 1. Basic Information 2. Demand 3. Energy << Previous 1 2 3 Next >> Basic Information Utility name: Algoma Utility Comm Effective date: 2008/05/28 End date if known: Rate name: Street Lighting Service - 200 W HPS(Overhead) Sector: Lighting Description: Application: This schedule will be applied to municipal street lighting. Power Cost Adjustment Clause: Charge per all kWh varies monthly. See schedule PCAC. Note: HPS = High Pressure Sodium MH = Metal Halide Source or reference: http://www.algomautilities.com/media/Electric_Rate_Tariff_Sheets.pdf Source Parent: Comments Applicability

378

Data:87993857-46bf-4ae4-9cf3-787f4a470d36 | Open Energy Information  

Open Energy Info (EERE)

7-46bf-4ae4-9cf3-787f4a470d36 7-46bf-4ae4-9cf3-787f4a470d36 No revision has been approved for this page. It is currently under review by our subject matter experts. Jump to: navigation, search Loading... 1. Basic Information 2. Demand 3. Energy << Previous 1 2 3 Next >> Basic Information Utility name: High West Energy, Inc Effective date: End date if known: Rate name: Street Lighting-200 - 250 watt M V/ HPS Sector: Lighting Description: Source or reference: http://www.highwest-energy.com/public/index.php/custservices/content-all-comcontent-views/rates Source Parent: Comments Applicability Demand (kW) Minimum (kW): Maximum (kW): History (months): Energy (kWh) Minimum (kWh): Maximum (kWh): History (months): Service Voltage Minimum (V): Maximum (V): Character of Service Voltage Category: Phase Wiring:

379

Data:29166ac5-4a9a-4dae-b635-aea4e3b8c30c | Open Energy Information  

Open Energy Info (EERE)

ac5-4a9a-4dae-b635-aea4e3b8c30c ac5-4a9a-4dae-b635-aea4e3b8c30c No revision has been approved for this page. It is currently under review by our subject matter experts. Jump to: navigation, search Loading... 1. Basic Information 2. Demand 3. Energy << Previous 1 2 3 Next >> Basic Information Utility name: Imperial Irrigation District Effective date: 1994/01/01 End date if known: Rate name: SCHEDULE SL-1 STREET AND HIGHWAY LIGHTING SERVICE-HIGH-PRESSURE SODIUM VAPOR 400W Sector: Lighting Description: APPLICABILITY Applicable to service to street and highway lighting installations supplied from overhead lines, where the District owns and maintains the entire equipment. Monthly Usage: 160kWh Source or reference: http://www.iid.com/Modules/ShowDocument.aspx?documentid=2577 Source Parent:

380

Data:3d6f08be-eea4-4ad4-b96c-b03231bfaa5f | Open Energy Information  

Open Energy Info (EERE)

f08be-eea4-4ad4-b96c-b03231bfaa5f f08be-eea4-4ad4-b96c-b03231bfaa5f No revision has been approved for this page. It is currently under review by our subject matter experts. Jump to: navigation, search Loading... 1. Basic Information 2. Demand 3. Energy << Previous 1 2 3 Next >> Basic Information Utility name: Lower Yellowstone R E A, Inc Effective date: 2012/01/01 End date if known: Rate name: Schedule A Sector: Residential Description: Source or reference: Illinois State University Archives Source Parent: Comments Applicability Demand (kW) Minimum (kW): Maximum (kW): History (months): Energy (kWh) Minimum (kWh): Maximum (kWh): History (months): Service Voltage Minimum (V): Maximum (V): Character of Service Voltage Category: Phase Wiring: << Previous 1 2 3 Next >> << Previous 1 2 3 Next >>

Note: This page contains sample records for the topic "forecast 4 3" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


381

Data:5a29f5b4-c4f4-474c-915a-06f979d7dae3 | Open Energy Information  

Open Energy Info (EERE)

f5b4-c4f4-474c-915a-06f979d7dae3 f5b4-c4f4-474c-915a-06f979d7dae3 No revision has been approved for this page. It is currently under review by our subject matter experts. Jump to: navigation, search Loading... 1. Basic Information 2. Demand 3. Energy << Previous 1 2 3 Next >> Basic Information Utility name: Entergy Gulf States Louisiana LLC Effective date: 2005/09/28 End date if known: Rate name: 2 Large power service (LPS)(transmission 230kV voltage) Sector: Industrial Description: This rate is applicable under the regular terms and conditions of company to customers who contract for not less then 2500 kW of electric service at company's available line voltage. Source or reference: http://www.entergy-louisiana.com/content/price/tariffs/egsi/egsila_lps.pdf Source Parent: Comments

382

Data:Db758f51-b7a3-4bd4-adfb-4af27ab0ec42 | Open Energy Information  

Open Energy Info (EERE)

Db758f51-b7a3-4bd4-adfb-4af27ab0ec42 Db758f51-b7a3-4bd4-adfb-4af27ab0ec42 No revision has been approved for this page. It is currently under review by our subject matter experts. Jump to: navigation, search Loading... 1. Basic Information 2. Demand 3. Energy << Previous 1 2 3 Next >> Basic Information Utility name: Pataula Electric Member Corp Effective date: 1997/12/01 End date if known: Rate name: Schedule MPS - Municipal Pumping Service Sector: Description: Applicable to all electric service for pumping and other uses incidental to the operation of a municipal water works or sewage disposal plant. Source or reference: http://facts.psc.state.ga.us/Public/GetDocument.aspx?ID=128532 Source Parent: Comments Applicability Demand (kW) Minimum (kW): Maximum (kW): History (months): Energy (kWh)

383

Johillerit, Na(Mg, Zn)3 Cu(AsO4)3, ein neues Mineral aus Tsumeb, Namibia  

Science Journals Connector (OSTI)

Electron microprobe analysis of the new mineral johillerite gave Na2O 5.4, MgO 18.3, ZnO 5.4, CuO 15.8, and As2O5 55.8, total 100.7%. From this result, the ideal formula is given as Na(Mg, Zn)3 Cu(AsO4)3. Johille...

Prof. Dr. P. Keller; Prof. Dr. H. Hess

1982-01-01T23:59:59.000Z

384

Wind and Load Forecast Error Model for Multiple Geographically Distributed Forecasts  

SciTech Connect (OSTI)

The impact of wind and load forecast errors on power grid operations is frequently evaluated by conducting multi-variant studies, where these errors are simulated repeatedly as random processes based on their known statistical characteristics. To generate these errors correctly, we need to reflect their distributions (which do not necessarily follow a known distribution law), standard deviations, auto- and cross-correlations. For instance, load and wind forecast errors can be closely correlated in different zones of the system. This paper introduces a new methodology for generating multiple cross-correlated random processes to simulate forecast error curves based on a transition probability matrix computed from an empirical error distribution function. The matrix will be used to generate new error time series with statistical features similar to observed errors. We present the derivation of the method and present some experimental results by generating new error forecasts together with their statistics.

Makarov, Yuri V.; Reyes Spindola, Jorge F.; Samaan, Nader A.; Diao, Ruisheng; Hafen, Ryan P.

2010-11-02T23:59:59.000Z

385

Forecasting the Market Penetration of Energy Conservation Technologies: The Decision Criteria for Choosing a Forecasting Model  

E-Print Network [OSTI]

An important determinant of our energy future is the rate at which energy conservation technologies, once developed, are put into use. At Synergic Resources Corporation, we have adapted and applied a methodology to forecast the use of conservation...

Lang, K.

1982-01-01T23:59:59.000Z

386

Data:0d6b3de1-ad18-4b4a-998b-8569d162aea3 | Open Energy Information  

Open Energy Info (EERE)

b3de1-ad18-4b4a-998b-8569d162aea3 b3de1-ad18-4b4a-998b-8569d162aea3 No revision has been approved for this page. It is currently under review by our subject matter experts. Jump to: navigation, search Loading... 1. Basic Information 2. Demand 3. Energy << Previous 1 2 3 Next >> Basic Information Utility name: Delaware Electric Cooperative Effective date: 2011/02/01 End date if known: Rate name: Lighting Service--Schedule L-1 HP Sodium Vapor Lamp-Post Top Luminaire (100w) Colonial Sector: Lighting Description: Available to Members, governments, agencies, public and private organizations desiring Electric Delivery or Electric Supply and Delivery Services through unmetered services for roadway and area lighting. Source or reference: http://www.delaware.coop/my-services/residential/billing/rates

387

Data:B2d08de9-7920-4db3-b331-715ea3f4a86e | Open Energy Information  

Open Energy Info (EERE)

de9-7920-4db3-b331-715ea3f4a86e de9-7920-4db3-b331-715ea3f4a86e No revision has been approved for this page. It is currently under review by our subject matter experts. Jump to: navigation, search Loading... 1. Basic Information 2. Demand 3. Energy << Previous 1 2 3 Next >> Basic Information Utility name: City of Duncan, Oklahoma (Utility Company) Effective date: End date if known: Rate name: Security Lighting- (1000W SV on existing DPUA utility Pole) Sector: Lighting Description: This rate schedule is available on an annual basis to any customer for illumination of outdoor areas. Source or reference: ISU Documentation Rate Binder Ted #9 Source Parent: Comments Applicability Demand (kW) Minimum (kW): Maximum (kW): History (months): Energy (kWh) Minimum (kWh): Maximum (kWh): History (months):

388

Data:28c567a3-08e4-4fb3-806b-c40003a76e0c | Open Energy Information  

Open Energy Info (EERE)

-08e4-4fb3-806b-c40003a76e0c -08e4-4fb3-806b-c40003a76e0c No revision has been approved for this page. It is currently under review by our subject matter experts. Jump to: navigation, search Loading... 1. Basic Information 2. Demand 3. Energy << Previous 1 2 3 Next >> Basic Information Utility name: Benton County Effective date: 2013/05/01 End date if known: Rate name: GSB Sector: Industrial Description: Source or reference: ISU Documentation Source Parent: Comments Applicability Demand (kW) Minimum (kW): Maximum (kW): History (months): Energy (kWh) Minimum (kWh): Maximum (kWh): History (months): Service Voltage Minimum (V): Maximum (V): Character of Service Voltage Category: Phase Wiring: << Previous 1 2 3 Next >> << Previous 1 2 3 Next >> Seasonal/Monthly Demand Charge Structures

389

Data:766f11c9-f3f2-4ca7-9cdd-64893b4b3b72 | Open Energy Information  

Open Energy Info (EERE)

-f3f2-4ca7-9cdd-64893b4b3b72 -f3f2-4ca7-9cdd-64893b4b3b72 No revision has been approved for this page. It is currently under review by our subject matter experts. Jump to: navigation, search Loading... 1. Basic Information 2. Demand 3. Energy << Previous 1 2 3 Next >> Basic Information Utility name: Platte-Clay Electric Coop, Inc Effective date: 2013/01/01 End date if known: Rate name: SL - 1000 watt Aquila Yard Light Sector: Lighting Description: Available for lighting streets, walkways, or outdoor lighting of public or private areas when such facilities are operated and maintained as an extension of the Cooperative's distribution system. Electric usage will be unmetered. Source or reference: Rate Binder Kelly 11 ISU Documentation Source Parent: Comments Applicability Demand (kW)

390

Data:7f6a14ad-4d86-4706-ac3c-e4f140e3e42f | Open Energy Information  

Open Energy Info (EERE)

ad-4d86-4706-ac3c-e4f140e3e42f ad-4d86-4706-ac3c-e4f140e3e42f No revision has been approved for this page. It is currently under review by our subject matter experts. Jump to: navigation, search Loading... 1. Basic Information 2. Demand 3. Energy << Previous 1 2 3 Next >> Basic Information Utility name: South Carolina Pub Serv Auth Effective date: 2012/10/01 End date if known: Rate name: Outdoor Lighting - Shoebox 400 Watt HPS Sector: Residential Description: Source or reference: https://www.santeecooper.com/business/equipment-leases/outdoor-lighting.aspx Source Parent: Comments Applicability Demand (kW) Minimum (kW): Maximum (kW): History (months): Energy (kWh) Minimum (kWh): Maximum (kWh): History (months): Service Voltage Minimum (V): Maximum (V): Character of Service Voltage Category: Phase Wiring:

391

Data:909b459e-3a3e-4d4b-87e5-1908a089c250 | Open Energy Information  

Open Energy Info (EERE)

59e-3a3e-4d4b-87e5-1908a089c250 59e-3a3e-4d4b-87e5-1908a089c250 No revision has been approved for this page. It is currently under review by our subject matter experts. Jump to: navigation, search Loading... 1. Basic Information 2. Demand 3. Energy << Previous 1 2 3 Next >> Basic Information Utility name: Bangor Hydro-Electric Co Effective date: 2012/07/01 End date if known: Rate name: High-Pressure Sodium-100 watts Sector: Lighting Description: Service under this rate is available for street and area lighting service installations, maintenance and use of energy, and traffic control lighting service provided the customer furnishes the equipment. Customers taking service under this rate schedule are responsible for paying both Distribution Service and Stranded Cost. Source or reference: http://www.bangorhydro.com/residential/rates/rates-schedules.aspx

392

Data:192a07b0-8154-4e3b-8e4d-3aabe867d72a | Open Energy Information  

Open Energy Info (EERE)

8154-4e3b-8e4d-3aabe867d72a 8154-4e3b-8e4d-3aabe867d72a No revision has been approved for this page. It is currently under review by our subject matter experts. Jump to: navigation, search Loading... 1. Basic Information 2. Demand 3. Energy << Previous 1 2 3 Next >> Basic Information Utility name: Salmon River Electric Coop Inc Effective date: 2004/03/01 End date if known: Rate name: Single Phase Master Metered (Demand) RV Parks Sector: Residential Description: The type of service provided under this schedule is single phase, at the standard voltage available for the premises to be served, supplied through one meter at one point of delivery. The Monthly Charge is the sum of the Customer Service, Fixed Local Access, Variable Local Access, Demand, Transmission, Power Charges and the Bonneville Power Administration (BPA) Power Cost Adjustment at the following rates.

393

Data:Bcdc4a3c-0ceb-4c72-b807-959114939ac3 | Open Energy Information  

Open Energy Info (EERE)

Bcdc4a3c-0ceb-4c72-b807-959114939ac3 Bcdc4a3c-0ceb-4c72-b807-959114939ac3 No revision has been approved for this page. It is currently under review by our subject matter experts. Jump to: navigation, search Loading... 1. Basic Information 2. Demand 3. Energy << Previous 1 2 3 Next >> Basic Information Utility name: Jackson Electric Member Corp Effective date: End date if known: Rate name: Outdoor Lighting Decashield HPS 250 W Wood Pole Sector: Lighting Description: Source or reference: http://www.jacksonemc.com/business-manage-my-account-commercial-rates-options/schedules/outdoor-lighting-service Source Parent: Comments Applicability Demand (kW) Minimum (kW): Maximum (kW): History (months): Energy (kWh) Minimum (kWh): Maximum (kWh): History (months): Service Voltage Minimum (V): Maximum (V): Character of Service

394

Data:630d9da3-13b3-4df4-8bdc-65525343c819 | Open Energy Information  

Open Energy Info (EERE)

da3-13b3-4df4-8bdc-65525343c819 da3-13b3-4df4-8bdc-65525343c819 No revision has been approved for this page. It is currently under review by our subject matter experts. Jump to: navigation, search Loading... 1. Basic Information 2. Demand 3. Energy << Previous 1 2 3 Next >> Basic Information Utility name: Avista Corp Effective date: 2013/01/01 End date if known: Rate name: Area Lighting - MV-GSS (30ft) 20000L Sector: Lighting Description: Public Purposes Rider = base rate x %2.85. Source or reference: http://www.avistautilities.com/services/energypricing/wa/elect/Pages/default.aspx Source Parent: Comments Applicability Demand (kW) Minimum (kW): Maximum (kW): History (months): Energy (kWh) Minimum (kWh): Maximum (kWh): History (months): Service Voltage Minimum (V): Maximum (V): Character of Service

395

Data:71cbe4ba-d3d3-4a40-a588-cd5259b6d295 | Open Energy Information  

Open Energy Info (EERE)

cbe4ba-d3d3-4a40-a588-cd5259b6d295 cbe4ba-d3d3-4a40-a588-cd5259b6d295 No revision has been approved for this page. It is currently under review by our subject matter experts. Jump to: navigation, search Loading... 1. Basic Information 2. Demand 3. Energy << Previous 1 2 3 Next >> Basic Information Utility name: City of Alliance, Nebraska (Utility Company) Effective date: 2012/10/01 End date if known: Rate name: Security Lights- Urban- 400W Sector: Lighting Description: Source or reference: http://www.cityofalliance.net/documentcenter/view/237 Source Parent: Comments Applicability Demand (kW) Minimum (kW): Maximum (kW): History (months): Energy (kWh) Minimum (kWh): Maximum (kWh): History (months): Service Voltage Minimum (V): Maximum (V): Character of Service Voltage Category: Phase Wiring: << Previous

396

Forecasting the Locational Dynamics of Transnational Terrorism  

E-Print Network [OSTI]

Forecasting the Locational Dynamics of Transnational Terrorism: A Network Analytic Approach Bruce A-0406 Fax: (919) 962-0432 Email: skyler@unc.edu Abstract--Efforts to combat and prevent transnational terror of terrorism. We construct the network of transnational terrorist attacks, in which source (sender) and target

Massachusetts at Amherst, University of

397

Do quantitative decadal forecasts from GCMs provide  

E-Print Network [OSTI]

' · Empirical models quantify our ability to predict without knowing the laws of physics · Climatology skill' model? 2. Dynamic climatology (DC) is a more appropriate benchmark for near- term (initialised) climate forecasts · A conditional climatology, initialised at launch and built from the historical archive

Stevenson, Paul

398

Sunny outlook for space weather forecasters  

Science Journals Connector (OSTI)

... For decades, companies have tailored public weather data for private customers from farmers to airlines. On Wednesday, a group of businesses said that they ... utilities and satellite operators. But Terry Onsager, a physicist at the SWPC, says that private forecasting firms are starting to realize that they can add value to these predictions. ...

Eric Hand

2012-04-27T23:59:59.000Z

399

Modeling of Uncertainty in Wind Energy Forecast  

E-Print Network [OSTI]

regression and splines are combined to model the prediction error from Tunø Knob wind power plant. This data of the thesis is quantile regression and splines in the context of wind power modeling. Lyngby, February 2006Modeling of Uncertainty in Wind Energy Forecast Jan Kloppenborg Møller Kongens Lyngby 2006 IMM-2006

400

Prediction versus Projection: How weather forecasting and  

E-Print Network [OSTI]

Prediction versus Projection: How weather forecasting and climate models differ. Aaron B. Wilson Context: Global http://data.giss.nasa.gov/ #12;Numerical Weather Prediction Collect Observations alters associated weather patterns. Models used to predict weather depend on the current observed state

Howat, Ian M.

Note: This page contains sample records for the topic "forecast 4 3" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


401

Customized forecasting tool improves reserves estimation  

SciTech Connect (OSTI)

Unique producing characteristics of the Teapot sandstone formation, Powder River basin, Wyoming, necessitated the creation of individualized production forecasting methods for wells producing from this reservoir. The development and use of a set of production type curves and correlations for Teapot wells are described herein.

Mian, M.A.

1986-04-01T23:59:59.000Z

402

Storm-in-a-Box Forecasting  

Science Journals Connector (OSTI)

...But the WRF has no immediate...being tuned to local conditions...temperatures and winds with altitude...resulting WRF forecasts...captured the local sea-breeze winds better...spread the local operation of mesoscale...to be the WRF model now...

Richard A. Kerr

2004-05-14T23:59:59.000Z

403

FORECAST OF VACANCIES Until end of 2016  

E-Print Network [OSTI]

#12;FORECAST OF VACANCIES Until end of 2016 (Issue No. 22) #12;Page 2 OVERVIEW OF BASIC REQUIREMENTS FOR PROFESSIONAL VACANCIES IN THE IAEA Education, Experience and Skills: Professional staff the team of professionals. Second half 2015 VACANCY GRADE REQUIREMENTS / ROLE EXPECTED DATE OF VACANCY

404

Online short-term solar power forecasting  

SciTech Connect (OSTI)

This paper describes a new approach to online forecasting of power production from PV systems. The method is suited to online forecasting in many applications and in this paper it is used to predict hourly values of solar power for horizons of up to 36 h. The data used is 15-min observations of solar power from 21 PV systems located on rooftops in a small village in Denmark. The suggested method is a two-stage method where first a statistical normalization of the solar power is obtained using a clear sky model. The clear sky model is found using statistical smoothing techniques. Then forecasts of the normalized solar power are calculated using adaptive linear time series models. Both autoregressive (AR) and AR with exogenous input (ARX) models are evaluated, where the latter takes numerical weather predictions (NWPs) as input. The results indicate that for forecasts up to 2 h ahead the most important input is the available observations of solar power, while for longer horizons NWPs are the most important input. A root mean square error improvement of around 35% is achieved by the ARX model compared to a proposed reference model. (author)

Bacher, Peder; Madsen, Henrik [Informatics and Mathematical Modelling, Richard Pedersens Plads, Technical University of Denmark, Building 321, DK-2800 Lyngby (Denmark); Nielsen, Henrik Aalborg [ENFOR A/S, Lyngsoe Alle 3, DK-2970 Hoersholm (Denmark)

2009-10-15T23:59:59.000Z

405

NERSC Users Group Meeting October 3-4, 2005 Presentations  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Running Jobs: Batch system, PBS overview, queues, submitting jobs, monitoring jobs, interactive jobs, differences from LoadLeveler October 3, 2005 | Author(s): David Turner |...

406

Data:02eb4f13-7107-4c9d-adb5-d104d4f3f5a1 | Open Energy Information  

Open Energy Info (EERE)

7107-4c9d-adb5-d104d4f3f5a1 7107-4c9d-adb5-d104d4f3f5a1 No revision has been approved for this page. It is currently under review by our subject matter experts. Jump to: navigation, search Loading... 1. Basic Information 2. Demand 3. Energy << Previous 1 2 3 Next >> Basic Information Utility name: Walton Electric Member Corp Effective date: 1997/05/01 End date if known: Rate name: Schedule SLM-1 Sector: Residential Description: Source or reference: http://www.waltonemc.com/commercial/ Source Parent: Comments Applicability Demand (kW) Minimum (kW): Maximum (kW): History (months): Energy (kWh) Minimum (kWh): Maximum (kWh): History (months): Service Voltage Minimum (V): Maximum (V): Character of Service Voltage Category: Phase Wiring: << Previous 1 2 3 Next >> << Previous 1 2 3 Next >>

407

Energy dispatch schedule optimization for demand charge reduction using a photovoltaic-battery storage system with solar forecasting  

Science Journals Connector (OSTI)

Abstract A battery storage dispatch strategy that optimizes demand charge reduction in real-time was developed and the discharge of battery storage devices in a grid-connected, combined photovoltaic-battery storage system (PV+system) was simulated for a summer month, July 2012, and a winter month, November 2012, in an operational environment. The problem is formulated as a linear programming (LP; or linear optimization) routine and daily minimization of peak non-coincident demand is sought to evaluate the robustness, reliability, and consistency of the battery dispatch algorithm. The LP routine leverages solar power and load forecasts to establish a load demand target (i.e., a minimum threshold to which demand can be reduced using a photovoltaic (PV) array and battery array) that is adjusted throughout the day in response to forecast error. The LP routine perfectly minimizes demand charge but forecasts errors necessitate adjustments to the perfect dispatch schedule. The PV+system consistently reduced non-coincident demand on a metered load that has an elevated diurnal (i.e., daytime) peak. The average reduction in peak demand on weekdays (days that contain the elevated load peak) was 25.6% in July and 20.5% in November. By itself, the PV array (excluding the battery array) reduced the peak demand on average 19.6% in July and 11.4% in November. PV alone cannot perfectly mitigate load spikes due to inherent variability; the inclusion of a storage device reduced the peak demand a further 6.0% in July and 9.3% in November. Circumstances affecting algorithm robustness and peak reduction reliability are discussed.

R. Hanna; J. Kleissl; A. Nottrott; M. Ferry

2014-01-01T23:59:59.000Z

408

Data:Ef3c4d39-4c3f-4d6f-9cc6-b15c7275b3a0 | Open Energy Information  

Open Energy Info (EERE)

c4d39-4c3f-4d6f-9cc6-b15c7275b3a0 c4d39-4c3f-4d6f-9cc6-b15c7275b3a0 No revision has been approved for this page. It is currently under review by our subject matter experts. Jump to: navigation, search Loading... 1. Basic Information 2. Demand 3. Energy << Previous 1 2 3 Next >> Basic Information Utility name: Modesto Irrigation District Effective date: 2013/04/01 End date if known: Rate name: Schedule SL - Nonlisted Light - 275 Watts Sector: Lighting Description: This section of this Schedule is applicable to all night lighting on the public streets, alleys, highways and parks for cities, lighting districts or other public bodies. Public outdoor area lighting for other than all night lighting is supplied under Rate Schedule GS. Source or reference: www.mid.org/tariffs/rates/SL_STREET_LIGHTING.pdf

409

CO Substitution in HOs3(CO)10(l-SC6H4Me-4) by the Diphosphine 4,5-Bis(diphenylphosphino)-4-cyclopentadiene-1,3-dione (bpcd): Structural and DFT Evaluation of the Isomeric Clusters HOs3(CO)8(bpcd)(mu-SC6H4Me-4)  

SciTech Connect (OSTI)

The reaction of the cluster HOs{sub 3}(CO){sub 10}({mu}-SC{sub 6}H{sub 4}Me-4) (1) with the diphosphine 4,5-bis(diphenylphosphino)-4-cyclopentadiene-1,3-dione (bpcd) has been investigated. 1 reacts with bpcd at room temperature in the presence of Me{sub 3}NO to give the isomeric clusters 1,2-HOs{sub 3}(CO)8(bpcd)({mu}-SC{sub 6}H{sub 4}Me-4) (2a) and 1,1-HOs{sub 3}(CO)8(bpcd)({mu}-SC{sub 6}H{sub 4}Me-4) (2b). Clusters 2a and 2b have been isolated, and the molecular structure of each compound has been established by X-ray crystallography. The X-ray structure of 2a confirms the coordination of one of the non-hydride-bridged Os-Os vectors by the bpcd ligand, while the structure of 2b exhibits a chelating bpcd ligand that is bound to one of the osmium centers ligated by the thiolate and hydrido ligands. 2a and 2b are stable in refluxing toluene and show no evidence for bridge-to-chelate isomerization of the ancillary bpcd ligand. DFT calculations on 2a and 2b indicate that the former cluster is the thermodynamically more stable isomer. Near-UV irradiation of 2b leads to CO loss and ortho metalation of the thiolate moiety, yielding the dihydride cluster H{sub 2}Os{sub 3}(CO)7(bpcd)({mu},{sigma}-SC{sub 6}H{sub 3}Me-4) (3). The conversion of 2b to 3 and free CO is computed to be endothermic by 14.1 kcal/mol and the reaction is driven by the entropic release of CO. The photochemically promoted ortho-metalation reaction is isomer dependent since cluster 2a is inert under identical conditions.

Yang, Li [University of North Texas; Nesterov, Vladimir [University of North Texas; Wang, Xiaoping [ORNL; Richmond, Michael G. [University of North Texas

2012-01-01T23:59:59.000Z

410

Operational forecasting based on a modified Weather Research and Forecasting model  

SciTech Connect (OSTI)

Accurate short-term forecasts of wind resources are required for efficient wind farm operation and ultimately for the integration of large amounts of wind-generated power into electrical grids. Siemens Energy Inc. and Lawrence Livermore National Laboratory, with the University of Colorado at Boulder, are collaborating on the design of an operational forecasting system for large wind farms. The basis of the system is the numerical weather prediction tool, the Weather Research and Forecasting (WRF) model; large-eddy simulations and data assimilation approaches are used to refine and tailor the forecasting system. Representation of the atmospheric boundary layer is modified, based on high-resolution large-eddy simulations of the atmospheric boundary. These large-eddy simulations incorporate wake effects from upwind turbines on downwind turbines as well as represent complex atmospheric variability due to complex terrain and surface features as well as atmospheric stability. Real-time hub-height wind speed and other meteorological data streams from existing wind farms are incorporated into the modeling system to enable uncertainty quantification through probabilistic forecasts. A companion investigation has identified optimal boundary-layer physics options for low-level forecasts in complex terrain, toward employing decadal WRF simulations to anticipate large-scale changes in wind resource availability due to global climate change.

Lundquist, J; Glascoe, L; Obrecht, J

2010-03-18T23:59:59.000Z

411

Data:Ddab7626-ab1c-4cd4-beed-ff601ddcbbf3 | Open Energy Information  

Open Energy Info (EERE)

Ddab7626-ab1c-4cd4-beed-ff601ddcbbf3 Ddab7626-ab1c-4cd4-beed-ff601ddcbbf3 No revision has been approved for this page. It is currently under review by our subject matter experts. Jump to: navigation, search Loading... 1. Basic Information 2. Demand 3. Energy << Previous 1 2 3 Next >> Basic Information Utility name: PUD No 1 of Benton County Effective date: 2012/01/01 End date if known: Rate name: Security Lighting 1000w MV-customer owned metered. Sector: Lighting Description: Applicable: To any electric customer where the District has existing facilities or public accessible locations. If the luminare location is such that a pole is required and is in public accessible areas, the District will install and maintain a pole at the monthly rates listed below added to the rate for the luminare:

412

Data:16569441-c535-4b64-a4e3-5878298055c1 | Open Energy Information  

Open Energy Info (EERE)

c535-4b64-a4e3-5878298055c1 c535-4b64-a4e3-5878298055c1 No revision has been approved for this page. It is currently under review by our subject matter experts. Jump to: navigation, search Loading... 1. Basic Information 2. Demand 3. Energy << Previous 1 2 3 Next >> Basic Information Utility name: City of Douglas, Georgia (Utility Company) Effective date: 2012/01/01 End date if known: Rate name: Large Power Sector: Industrial Description: Current kW & prior 11 months' kW greater than or equal to 500 kW. Source or reference: Rate Binder Kelly 2 ISU Documentation Source Parent: Comments Minimum monthly bill: $100 + ($8.00 * Billing kW) + ECCR + PCA Applicability Demand (kW) Minimum (kW): Maximum (kW): History (months): Energy (kWh) Minimum (kWh): Maximum (kWh): History (months):

413

Data:Daa3abf4-d97d-4794-9801-cb571428bc4b | Open Energy Information  

Open Energy Info (EERE)

Daa3abf4-d97d-4794-9801-cb571428bc4b Daa3abf4-d97d-4794-9801-cb571428bc4b No revision has been approved for this page. It is currently under review by our subject matter experts. Jump to: navigation, search Loading... 1. Basic Information 2. Demand 3. Energy << Previous 1 2 3 Next >> Basic Information Utility name: Singing River Elec Pwr Assn (Mississippi) Effective date: 2009/12/04 End date if known: Rate name: Security Lighting HPS 250 W w/ Pole Sector: Lighting Description: *Subject to power cost adjustment, tax expense adjustment, and an environmental compliance charge.Includes cost of pole. Source or reference: http://www.singingriver.com/Files/R-18.pdf Source Parent: Comments Energy Adjustment is Power Cost Adjustment plus Environmental Clause plus Regulatory Adjustment Applicability

414

A multi-spectral spatial convolution approach of rainfall forecasting using weather satellite imagery  

Science Journals Connector (OSTI)

Flood forecasting has long been a major topic of hydrologic research. Recent events and studies indicate that the success of flood forecasting in Taiwan depends heavily on the accuracy of real-time rainfall forecasting. In this study, we demonstrate a multi-spectral spatial convolution approach for real-time rainfall forecasting using geostationary weather satellite images. The approach incorporates cloud-top temperatures of three infrared channels in a spatial convolution context. It not only characterizes the inputoutput relationship between cloud-top temperature and rainfall at the ground level, but also is more consistent with physical and remote sensing principles than single-pixel matches. Point rainfall measurements at raingauge sites are up-scaled to pixel-average-rainfall by block kriging, then related to multi-spectral cloud-top temperatures derived from Geostationary Meteorological Satellite images by spatial convolution. The kernel function of the multispectral spatial convolution equation is solved by the least squares method. Through a cross-validation procedure, we demonstrate that the proposed approach is capable of achieving high accuracy for 1- to 3-h-lead pixel-average-rainfall forecasting.

Chiang Wei; Wei-Chun Hung; Ke-Sheng Cheng

2006-01-01T23:59:59.000Z

415

3D/4D MODELLING, VISUALIZATION AND INFORMATION FRAMEWORKS: CURRENT U.S. GEOLOGICAL SURVEY PRACTICE  

E-Print Network [OSTI]

33 3D/4D MODELLING, VISUALIZATION AND INFORMATION FRAMEWORKS: CURRENT U.S. GEOLOGICAL SURVEY to visualize and model geologic data and information in 3 spatial dimensions (3D) and sometimes adding time in visualizing and coupling geologic, hydrologic, atmospheric, and biologic processes together into 3D/4D

416

Reduction of excess sludge production by 3,3?,4?, 5-tetrachlorosalicylanilide in an activated sludge process  

Science Journals Connector (OSTI)

The potential of 3,3?,4?,5-tetrachlorosalicylanilide (TCS) addition to an activated sludge continuous process to reduce excess sludge production by disrupting coupling between anabolism and ... test in a lab-scal...

Fen Xia Ye; Ying Li

2005-04-01T23:59:59.000Z

417

Forecastability as a Design Criterion in Wind Resource Assessment: Preprint  

SciTech Connect (OSTI)

This paper proposes a methodology to include the wind power forecasting ability, or 'forecastability,' of a site as a design criterion in wind resource assessment and wind power plant design stages. The Unrestricted Wind Farm Layout Optimization (UWFLO) methodology is adopted to maximize the capacity factor of a wind power plant. The 1-hour-ahead persistence wind power forecasting method is used to characterize the forecastability of a potential wind power plant, thereby partially quantifying the integration cost. A trade-off between the maximum capacity factor and the forecastability is investigated.

Zhang, J.; Hodge, B. M.

2014-04-01T23:59:59.000Z

418

Ris Energy Report 4 International trends and scenarios for future energy systems Introduction  

E-Print Network [OSTI]

Risø Energy Report 4 International trends and scenarios for future energy systems 3 Introduction In evaluations of long term energy forecasts made in the past the conclusion often is that a large number on internationally recognised scientific material". One key observation in a recent evaluation of long term energy

419

E-Print Network 3.0 - a-4 kunbetsu-dake area Sample Search Results  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Environmental Sciences and Ecology 3 312 VOLUME 85 NUMBER 3 | MARCH 2009 | www.nature.comcpt articles nature publishing group Summary: in CYP3A4*18+ subjects. The...

420

Travel Time Forecasting Lyngby 2007  

E-Print Network [OSTI]

part of a new real-time traffic reporting system. This system is in the pipeline in the framework steps . . . . . . . . . . . . . . . . . . . . . . . . . . . 26 7.4 Data cleaning, repair and aggregation

Note: This page contains sample records for the topic "forecast 4 3" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


421

2008-2009 4 2010-2011 3  

E-Print Network [OSTI]

for the last three fall semesters. 4 Employment Profile (In field within one year of graduation). For each formal external review, updated when changed 13 Faculty Teaching Load Total number of semester credit hours in organized teaching courses taught per academic year by core faculty divided by the number

422

4, 121140, 2004 Uptake of HNO3 on  

E-Print Network [OSTI]

of H2SO4 and H2O but also ammoniated sulfate and other components have been observed15 (Xu et al., 2001 likely to be composed of ammoniated sulfates undergoing deliquescence transition25 forming liquid) of ammoniated salts at upper tropo-5 spheric conditions (Lin and Tabazadeh, 2002). It was also shown

Paris-Sud XI, Université de

423

Data:14e3c876-4aee-4f42-a1cb-a3b42cc9d539 | Open Energy Information  

Open Energy Info (EERE)

-4aee-4f42-a1cb-a3b42cc9d539 -4aee-4f42-a1cb-a3b42cc9d539 No revision has been approved for this page. It is currently under review by our subject matter experts. Jump to: navigation, search Loading... 1. Basic Information 2. Demand 3. Energy << Previous 1 2 3 Next >> Basic Information Utility name: Flathead Electric Coop Inc Effective date: 2013/05/01 End date if known: Rate name: Overhead Lighting - 400 Watt HPS Sector: Lighting Description: Source or reference: http://www.flatheadelectric.com/rates/OLS01.pdf Source Parent: Comments Applicability Demand (kW) Minimum (kW): Maximum (kW): History (months): Energy (kWh) Minimum (kWh): Maximum (kWh): History (months): Service Voltage Minimum (V): Maximum (V): Character of Service Voltage Category: Phase Wiring: << Previous 1 2 3 Next >>

424

Data:3b8d6012-8dbf-4cf4-b312-c544e73bb7b3 | Open Energy Information  

Open Energy Info (EERE)

12-8dbf-4cf4-b312-c544e73bb7b3 12-8dbf-4cf4-b312-c544e73bb7b3 No revision has been approved for this page. It is currently under review by our subject matter experts. Jump to: navigation, search Loading... 1. Basic Information 2. Demand 3. Energy << Previous 1 2 3 Next >> Basic Information Utility name: Stanton County Public Pwr Dist Effective date: 2012/01/01 End date if known: Rate name: Municipal Street Lighting District Owned Metered 250W HPS Sector: Lighting Description: Source or reference: ISU Archives Source Parent: Comments Applicability Demand (kW) Minimum (kW): Maximum (kW): History (months): Energy (kWh) Minimum (kWh): Maximum (kWh): History (months): Service Voltage Minimum (V): Maximum (V): Character of Service Voltage Category: Phase Wiring: << Previous 1 2 3 Next >> << Previous

425

Data:4c13f117-f1d9-4e3b-afa4-569f32389b17 | Open Energy Information  

Open Energy Info (EERE)

7-f1d9-4e3b-afa4-569f32389b17 7-f1d9-4e3b-afa4-569f32389b17 No revision has been approved for this page. It is currently under review by our subject matter experts. Jump to: navigation, search Loading... 1. Basic Information 2. Demand 3. Energy << Previous 1 2 3 Next >> Basic Information Utility name: Consumers Power, Inc Effective date: 2011/10/01 End date if known: Rate name: 400 W HPS Sector: Lighting Description: * Applicable to customers who receive dusk to dawn area lighting service. Source or reference: Rate binder # 4(Illinios State University) Source Parent: Comments Applicability Demand (kW) Minimum (kW): Maximum (kW): History (months): Energy (kWh) Minimum (kWh): Maximum (kWh): History (months): Service Voltage Minimum (V): Maximum (V): Character of Service Voltage Category: Phase Wiring:

426

NERSC Users Group Meeting October 3-4, 2005 Presentations  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Compiling: Pathscale Fortran, C, C++; mpif90, mpicc, mpicxx, recommended Compiling: Pathscale Fortran, C, C++; mpif90, mpicc, mpicxx, recommended compiler options, useful compiler options, libraries, porting from Seaborg, porting from other Linux clusters October 3, 2005 | Author(s): Michael Stewart | Download File: Compiling.mstewart.ppt | ppt | 1.2 MB High Speed Interconnect and MVAPICH: InfiniBand characteristics (latency, bandwidth), network topology, differences from Seaborg, MVAPICH overview October 3, 2005 | Author(s): Bill Saphir | Download File: JacquardMPIandInterconnect.ppt | ppt | 125 KB Jacquard Nodes and CPUs: Opteron basics, differences from POWER 3, node configuration, memory layout, processor affinity October 3, 2005 | Author(s): David Skinner | Download File: NUG2005Jacquarddskinner.ppt | ppt | 621 KB Jacquard Overview: a high-level description of system, processors,

427

On the Ionization Energies of C4H3 Isomers  

E-Print Network [OSTI]

Based on electronic structure calculations, the recordedbased on electronic structure calculations of the triplet Celectronic state is much lower in energy than triplet 3 A 2 (Table 1), we performed Franck-Condon factor calculations

Kaiser, Ralf I.

2010-01-01T23:59:59.000Z

428

On the Ionization Energies of C4H3 Isomers  

E-Print Network [OSTI]

Photoionization efficiency (PIE) curves were recorded of the8.0 to 10.3 eV. The experimental PIE curve was compared withphotoioni- zation efficiency (PIE) curves can be obtained by

Kaiser, Ralf I.

2010-01-01T23:59:59.000Z

429

Table 4.3 Offsite-Produced Fuel Consumption, 2002  

U.S. Energy Information Administration (EIA) Indexed Site

3 Offsite-Produced Fuel Consumption, 2002;" 3 Offsite-Produced Fuel Consumption, 2002;" " Level: National and Regional Data; " " Row: Values of Shipments and Employment Sizes;" " Column: Energy Sources;" " Unit: Trillion Btu." " "," "," "," "," "," "," "," "," "," "," " " "," ",," "," ",," "," ",," ","RSE" "Economic",,,"Residual","Distillate","Natural ","LPG and",,"Coke and"," ","Row" "Characteristic(a)","Total","Electricity(b)","Fuel Oil","Fuel Oil(c)","Gas(d)","NGL(e)","Coal","Breeze","Other(f)","Factors"

430

Data:71353333-e4c3-42b3-bc8b-ba3c32ba0bb3 | Open Energy Information  

Open Energy Info (EERE)

3-e4c3-42b3-bc8b-ba3c32ba0bb3 3-e4c3-42b3-bc8b-ba3c32ba0bb3 No revision has been approved for this page. It is currently under review by our subject matter experts. Jump to: navigation, search Loading... 1. Basic Information 2. Demand 3. Energy << Previous 1 2 3 Next >> Basic Information Utility name: Cuming County Public Pwr Dist Effective date: 2011/12/14 End date if known: Rate name: Security Lighting Metered Lights 250W MV Sector: Lighting Description: Source or reference: Ilinois State University Rate binder # 10 Source Parent: Comments Applicability Demand (kW) Minimum (kW): Maximum (kW): History (months): Energy (kWh) Minimum (kWh): Maximum (kWh): History (months): Service Voltage Minimum (V): Maximum (V): Character of Service Voltage Category: Phase Wiring: << Previous 1 2 3 Next >>

431

Energy Forecast, ForskEL (Smart Grid Project) | Open Energy Information  

Open Energy Info (EERE)

Forecast, ForskEL (Smart Grid Project) Forecast, ForskEL (Smart Grid Project) Jump to: navigation, search Project Name Energy Forecast, ForskEL Country Denmark Coordinates 56.26392°, 9.501785° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":56.26392,"lon":9.501785,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

432

A hybrid dynamic and fuzzy time series model for mid-term power load forecasting  

Science Journals Connector (OSTI)

Abstract A new hybrid model for forecasting the electric power load several months ahead is proposed. To allow for distinct responses from individual load sectors, this hybrid model, which combines dynamic (i.e., air temperature dependency of power load) and fuzzy time series approaches, is applied separately to the household, public, service, and industrial sectors. The hybrid model is tested using actual load data from the Seoul metropolitan area, and its predictions are compared with those from two typical dynamic models. Our investigation shows that, in the case of four-month forecasting, the proposed model gives the actual monthly power load of every sector with only less than 3% absolute error and satisfactory reduction of forecasting errors compared to other models from previous studies.

Woo-Joo Lee; Jinkyu Hong

2015-01-01T23:59:59.000Z

433

Neutron and X-ray diffraction studies on the high temperature phase of Mn{sub 3}(VO{sub 4}){sub 2}, the new isostructural compound NaMn{sub 4}(VO{sub 4}){sub 3} and their mixed crystals Na{sub x}Mn{sub 4.5-x/2}(VO{sub 4}){sub 3} (0{<=}x{<=}1)  

SciTech Connect (OSTI)

This paper presents a detailed structure analysis (combined Rietveld analysis of X-ray and neutron powder diffraction data as well as quantum mechanical calculations) of the high temperature phase of Mn{sub 3}(VO{sub 4}){sub 2} (space group I4 Macron 2d). Special attention is directed to the analysis of the local coordination around Mn{sup 2+} ions or vacancies within a stella quadrangula configuration of anions. Furthermore, the new compound NaMn{sub 4}(VO{sub 4}){sub 3} is described as well as a range of mixed crystals between NaMn{sub 4}(VO{sub 4}){sub 3} and Mn{sub 3}(VO{sub 4}){sub 2} (described by the formula Na{sub x}Mn{sub 4.5-x/2}(VO{sub 4}){sub 3}, 0{<=}x{<=}1) which were synthesized by a solid state route. All compounds were shown to be isostructural to the high temperature phase Mn{sub 3}(VO{sub 4}){sub 2}. - Graphical abstract: The crystal structure of the new compound NaMn{sub 4}(VO{sub 4}){sub 3}. Highlights: Black-Right-Pointing-Pointer We present neutron and X-ray diffraction studies on high temperature-Mn{sub 3}(VO{sub 4}){sub 2}. Black-Right-Pointing-Pointer Structural details of partly filled stellae quadrangulae positions are discussed. Black-Right-Pointing-Pointer Refined structural parameters and theoretical calculations are compared. Black-Right-Pointing-Pointer We investigate the mixed crystal system Mn{sub 3}(VO{sub 4}){sub 2}-NaMn{sub 4}(VO{sub 4}){sub 3}.

Clemens, Oliver [Universitaet des Saarlandes, Institut fuer Anorganische und Analytische Chemie und Radiochemie, Am Markt, Zeile 5, 66125 Saarbruecken (Germany)] [Universitaet des Saarlandes, Institut fuer Anorganische und Analytische Chemie und Radiochemie, Am Markt, Zeile 5, 66125 Saarbruecken (Germany); Haberkorn, Robert [Universitaet des Saarlandes, Anorganische Festkoerperchemie, Am Markt, Zeile 3, 66125 Saarbruecken (Germany)] [Universitaet des Saarlandes, Anorganische Festkoerperchemie, Am Markt, Zeile 3, 66125 Saarbruecken (Germany); Springborg, Michael [Universitaet des Saarlandes, Physikalische und Theoretische Chemie, Campus B2 2, 66123 Saarbruecken (Germany)] [Universitaet des Saarlandes, Physikalische und Theoretische Chemie, Campus B2 2, 66123 Saarbruecken (Germany); Beck, Horst Philipp, E-mail: hp.beck@mx.uni-saarland.de [Universitaet des Saarlandes, Institut fuer Anorganische und Analytische Chemie und Radiochemie, Am Markt, Zeile 5, 66125 Saarbruecken (Germany)

2012-10-15T23:59:59.000Z

434

ANL Wind Power Forecasting and Electricity Markets | Open Energy  

Open Energy Info (EERE)

ANL Wind Power Forecasting and Electricity Markets ANL Wind Power Forecasting and Electricity Markets Jump to: navigation, search Logo: Wind Power Forecasting and Electricity Markets Name Wind Power Forecasting and Electricity Markets Agency/Company /Organization Argonne National Laboratory Partner Institute for Systems and Computer Engineering of Porto (INESC Porto) in Portugal, Midwest Independent System Operator and Horizon Wind Energy LLC, funded by U.S. Department of Energy Sector Energy Focus Area Wind Topics Pathways analysis, Technology characterizations Resource Type Software/modeling tools Website http://www.dis.anl.gov/project References Argonne National Laboratory: Wind Power Forecasting and Electricity Markets[1] Abstract To improve wind power forecasting and its use in power system and electricity market operations Argonne National Laboratory has assembled a team of experts in wind power forecasting, electricity market modeling, wind farm development, and power system operations.

435

Data:4c717164-4fdb-4d3f-ab9a-460b05df3003 | Open Energy Information  

Open Energy Info (EERE)

64-4fdb-4d3f-ab9a-460b05df3003 64-4fdb-4d3f-ab9a-460b05df3003 No revision has been approved for this page. It is currently under review by our subject matter experts. Jump to: navigation, search Loading... 1. Basic Information 2. Demand 3. Energy << Previous 1 2 3 Next >> Basic Information Utility name: Ralls County Electric Coop Effective date: 2011/04/01 End date if known: Rate name: Dual Fuel Sector: Description: Single Phase or Three Phase under 100 kW Source or reference: Rate Binder Kelly 11 ISU Documentation Source Parent: Comments Applicability Demand (kW) Minimum (kW): Maximum (kW): History (months): Energy (kWh) Minimum (kWh): Maximum (kWh): History (months): Service Voltage Minimum (V): Maximum (V): Character of Service Voltage Category: Phase Wiring: << Previous 1 2 3 Next >>

436

Trapping phosphate anions inside the [Ag{sub 4}I]{sup 3+} framework: Structure, bonding, and properties of Ag{sub 4}I(PO{sub 4})  

SciTech Connect (OSTI)

Orange-red Ag{sub 4}I(PO{sub 4}) crystallizes in the monoclinic system, space group P2{sub 1}/m (No. 11), with the unit cell dimensions a=9.0874(6) A, b=6.8809(5) A, c=11.1260(7) A, {beta}=109.450(1){sup o}, and Z=4. The crystal structure is fully ordered; it comprises the silver-iodine three-dimensional positively charged framework hosting the tetrahedral PO{sub 4}{sup 3-} guest anions. The framework features high coordination numbers for iodine and manifold Ag-Ag bonds ranging from 3.01 to 3.46 A. The Ag-Ag interaction is bonding, it involves silver 4d and 5s orbitals lying, together with the orbitals of iodine, just below the Fermi level. Though the orbitals of silver and iodine define the conducting properties of the title compound, the interaction between the framework and the guest anions is also important and is responsive to the number of the silver atoms surrounding the PO{sub 4}{sup 3-} tetrahedra. Ag{sub 4}I(PO{sub 4}) melts incongruently at 591 K and produces a mixture of the silver phosphate and an amorphous phase upon cooling. Pure Ag{sub 4}I(PO{sub 4}) is a poor conductor with a room temperature conductivity of 3x10{sup -6} S m{sup -1}. The discrepancies between the properties observed here and those reported previously in the literature are discussed. - Graphical abstract: Regular [PO{sub 4}] tetrahedra fill large voids in the Ag-I framework to form a host-guest compound, Ag{sub 4}I(PO{sub 4}). It has a perfectly ordered crystal structure, atypical for this kind of compounds, rendering the study of the manifold Ag-Ag bonds and the host-guest interaction. However, this ordering leads to low ionic conductivity.

Oleneva, Olga S.; Kirsanova, Maria A.; Shestimerova, Tatiana A.; Abramchuk, Nikolay S.; Davliatshin, Dmitry I.; Bykov, Mikhail A. [Department of Chemistry, Lomonosov Moscow State University (Russian Federation); Dikarev, Evgeny V. [Department of Chemistry, University at Albany (United States); Shevelkov, Andrei V. [Department of Chemistry, Lomonosov Moscow State University (Russian Federation)], E-mail: shev@inorg.chem.msu.ru

2008-01-15T23:59:59.000Z

437

JASPERSE CHEM 341 TEST 4 VERSION 3 Conjugation, Aromaticity, Electrophilic Aromatic Substitution  

E-Print Network [OSTI]

Compared a. H2, Pt Br Br Br H+ , H 2O (SN1/E1)b. O c. NO2 Cl CH3 HNO3, H 2SO4d. Br Br Br f. NaOMe (SN2 reactivity) #12;3 4. Draw the major product for each of the following reactions. (3 points each, 21 total, 7 in the reaction. (6 points, 5 minutes) b. Draw all 4 resonance structures for the cation intermediate in the above

Jasperse, Craig P.

438

Analysis and forecast improvements from simulated satellite water vapor profiles and rainfall using a global data assimilation system  

SciTech Connect (OSTI)

The potential improvements of analyses and forecasts from the use of satellite-observed rainfall and water vapor measurements from the Defense Meteorological Satellite Program Sensor Microwave (SSM) T-1 and T-2 instruments are investigated in a series of observing system simulation experiments using the Air Force Phillips Laboratory (formerly Air Force Geophysics Laboratory) data assimilation system. Simulated SSM radiances are used directly in a radiance retrieval step following the conventional optimum interpolation analysis. Simulated rainfall rates in the tropics are used in a moist initialization procedure to improve the initial specification of divergence, moisture, and temperature. Results show improved analyses and forecasts of relative humidity and winds compared to the control experiment in the tropics and the Southern Hemisphere. Forecast improvements are generally restricted to the first 1-3 days of the forecast. 27 refs., 11 figs.

Nehrkorn, T.; Hoffman, R.N.; Louis, J.F.; Isaacs, R.G.; Moncet, J.L. (Atmospheric and Environmental Research, Inc., Cambridge, MA (United States))

1993-10-01T23:59:59.000Z

439

E-Print Network 3.0 - antiferromagnetic coal1-xcox2o-4 spinels...  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

2 3 4 5 > >> 1 Tetragonal low-temperature phase of MgCr2O4 H. Ehrenberg,a) Summary: transition from a cubic spinel structure space group Fd3m, a 8.32768(4) at 16 K into a...

440

Forecasting of preprocessed daily solar radiation time series using neural networks  

SciTech Connect (OSTI)

In this paper, we present an application of Artificial Neural Networks (ANNs) in the renewable energy domain. We particularly look at the Multi-Layer Perceptron (MLP) network which has been the most used of ANNs architectures both in the renewable energy domain and in the time series forecasting. We have used a MLP and an ad hoc time series pre-processing to develop a methodology for the daily prediction of global solar radiation on a horizontal surface. First results are promising with nRMSE {proportional_to} 21% and RMSE {proportional_to} 3.59 MJ/m{sup 2}. The optimized MLP presents predictions similar to or even better than conventional and reference methods such as ARIMA techniques, Bayesian inference, Markov chains and k-Nearest-Neighbors. Moreover we found that the data pre-processing approach proposed can reduce significantly forecasting errors of about 6% compared to conventional prediction methods such as Markov chains or Bayesian inference. The simulator proposed has been obtained using 19 years of available data from the meteorological station of Ajaccio (Corsica Island, France, 41 55'N, 8 44'E, 4 m above mean sea level). The predicted whole methodology has been validated on a 1.175 kWc mono-Si PV power grid. Six prediction methods (ANN, clear sky model, combination..) allow to predict the best daily DC PV power production at horizon d + 1. The cumulated DC PV energy on a 6-months period shows a great agreement between simulated and measured data (R{sup 2} > 0.99 and nRMSE < 2%). (author)

Paoli, Christophe; Muselli, Marc; Nivet, Marie-Laure [University of Corsica, CNRS UMR SPE, Corte (France); Voyant, Cyril [University of Corsica, CNRS UMR SPE, Corte (France); Hospital of Castelluccio, Radiotherapy Unit, Ajaccio (France)

2010-12-15T23:59:59.000Z

Note: This page contains sample records for the topic "forecast 4 3" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


441

/ / SH-X3 4 RP1 SMP OSCAR  

E-Print Network [OSTI]

) API BPA RB SB Program Near fine grain parallelism Loop level parallelism Coarse grain parallelism body BPA RB SB BPA RB SB BPA RB SB BPA RB SB BPA RB SB BPA RB SB 1 Fig. 1 Hierarchical macro task. OSCAR 2.1 BPA6) DO RB6) SB6) 3 #12;Data Dependency Extended Control Dependency Conditional Branch

Kasahara, Hironori

442

Data:7a3e260b-d80d-4b3d-932a-4d69d206565d | Open Energy Information  

Open Energy Info (EERE)

60b-d80d-4b3d-932a-4d69d206565d 60b-d80d-4b3d-932a-4d69d206565d No revision has been approved for this page. It is currently under review by our subject matter experts. Jump to: navigation, search Loading... 1. Basic Information 2. Demand 3. Energy << Previous 1 2 3 Next >> Basic Information Utility name: Salmon River Electric Coop Inc Effective date: 2009/12/16 End date if known: Rate name: Dusk to Dawn Lighting (Street Light) Service (200-400W) Sector: Lighting Description: Service under this schedule is applicable to electric service provided for the outdoor dusk to dawn lighting of commercial, industrial, and residential member grounds, yards, driveways, and premises by means of a Cooperative-owned luminary, mounted on an existing Cooperative pole with a support bracket, automatically controlled by a photoelectric relay.

443

Data:3f6b198d-b007-4de4-b219-3c28dba94bdd | Open Energy Information  

Open Energy Info (EERE)

b198d-b007-4de4-b219-3c28dba94bdd b198d-b007-4de4-b219-3c28dba94bdd No revision has been approved for this page. It is currently under review by our subject matter experts. Jump to: navigation, search Loading... 1. Basic Information 2. Demand 3. Energy << Previous 1 2 3 Next >> Basic Information Utility name: Poudre Valley R E A, Inc Effective date: 2013/01/01 End date if known: Rate name: IP - Irrigation Sector: Residential Description: These rates are available to consumers for agriculture irrigation services, including wholesale nurseries, three farms, and sod/turf farms. There rates are not available to golf courses, homeowners' associations, or installations where irrigation is incidental to other electrical usage. Rates are subject to the established rules and regulations, tariffs, bylaws and Articles, of Incorporation of the Association.

444

Data:D3d472f9-c4fc-4c3c-b64e-f266d022fcfe | Open Energy Information  

Open Energy Info (EERE)

2f9-c4fc-4c3c-b64e-f266d022fcfe 2f9-c4fc-4c3c-b64e-f266d022fcfe No revision has been approved for this page. It is currently under review by our subject matter experts. Jump to: navigation, search Loading... 1. Basic Information 2. Demand 3. Energy << Previous 1 2 3 Next >> Basic Information Utility name: City of Kings Mountain, North Carolina (Utility Company) Effective date: 2011/07/31 End date if known: Rate name: Outdoor Lighting Service- 400W High Pressure Sodium- Flood, Existing Pole Sector: Lighting Description: Available to individual customer at locations on the City's distribution system. Source or reference: http://www.cityofkm.com/Downloads/billing/Electric_Rates.pdf Source Parent: Comments Applicability Demand (kW) Minimum (kW): Maximum (kW): History (months): Energy (kWh)

445

Roles of chemically inequivalent N(CH3)4 ions in phase transition temperatures in [N(CH3)4]2CoCl4 by single-crystal NMR and MAS NMR  

Science Journals Connector (OSTI)

Abstract The temperature dependences of the 1H and 13C spinlattice relaxation time in the laboratory frame, T1, and in the rotating frame, T1?, in [N(CH3)4]2CoCl4 were measured by static nuclear magnetic resonance (NMR) and magic angle spinning (MAS) NMR. In the ferroelastic phase, 1H T1? underwent molecular motion according to the BloembergenPurcellPound theory. Two inequivalent ions, a-N(CH3)4 and b-N(CH3)4, were identified by 13C cross polarization (CP)/MAS NMR. On the basis of the 13C NMR results, the existence of two chemically inequivalent a-N(CH3)4 and b-N(CH3)4 ions in the ferroelectric phase and the existence of the ferroelastic twin structure of the N(CH3)4 ions in the ferroelastic phase were discussed.

Ae Ran Lim

2014-01-01T23:59:59.000Z

446

Supporting Information Surface Electric Fields of Aqueous Solutions of NH4NO3, Mg(NO3)2, NaNO3,  

E-Print Network [OSTI]

S1 Supporting Information Surface Electric Fields of Aqueous Solutions of NH4NO3, Mg(NO3)2, NaNO3 interfaces of (a) 1.0 M and 2.0 M LiNO3, (b) 1.0 M and 1.7 M NaNO3, (c) 1.0 M and 1.6 M NH4NO3, and (d) 1.0 M water 1.0 M NaNO3 1.7 M NaNO3 c water 1.0 M NH4 NO3 1.6 M NH4 NO3 | (2) | 2 (10 3 arb.units) Wavenumber

447

GENERAL TECHNICAL REPORT PSW-GTR-245 Forecasting Productivity in Forest Fire  

E-Print Network [OSTI]

, efficiency analysis) for economic analysis of the potential hazard posed by forest ecosystems conditionsGENERAL TECHNICAL REPORT PSW-GTR-245 50 Forecasting Productivity in Forest Fire Suppression Francisco Rodríguez y Silva2 and Armando González-Cabán3 Abstract The abandonment of land, the high energy

Standiford, Richard B.

448

European Wind Energy Conference -Brussels, Belgium, April 2008 Data mining for wind power forecasting  

E-Print Network [OSTI]

European Wind Energy Conference - Brussels, Belgium, April 2008 Data mining for wind power-term forecasting of wind energy produc- tion up to 2-3 days ahead is recognized as a major contribution the improvement of predic- tion systems performance is recognised as one of the priorities in wind energy research

Paris-Sud XI, Université de

449

2008 European PV Conference, Valencia, Spain COMPARISON OF SOLAR RADIATION FORECASTS FOR THE USA  

E-Print Network [OSTI]

2008 European PV Conference, Valencia, Spain COMPARISON OF SOLAR RADIATION FORECASTS FOR THE USA J, The University at Albany, 251 Fuller Rd, Albany, NY 12203, USA 3 University of Oldenburg, Institute of Physics for a half year period (summer 2007) at three different climates in the USA. ECMWF shows the best results

Perez, Richard R.

450

Data:572eb4a7-39fb-45e6-98fd-7544a0fea433 | Open Energy Information  

Open Energy Info (EERE)

2eb4a7-39fb-45e6-98fd-7544a0fea433 2eb4a7-39fb-45e6-98fd-7544a0fea433 No revision has been approved for this page. It is currently under review by our subject matter experts. Jump to: navigation, search Loading... 1. Basic Information 2. Demand 3. Energy << Previous 1 2 3 Next >> Basic Information Utility name: PUD No 2 of Grant County Effective date: 2012/01/01 End date if known: Rate name: RATE SCHEDULE NO. 99 LOAD FORECAST ADJUSTMENT Sector: Description: APPLICABILITY: All customers billed on rate schedules 14, 15, 16, and 85 are subject to the requirements and charges described in this rate schedule. EFFECTIVE: Customer's Annual Load Forecast is due October 1, 2010. Monitoring of the forecast accuracy will begin January 1, 2011. Charges resulting from forecast errors will begin for billings covering energy usage on January 1, 2012. PROCESS: By October 1 each year (beginning October 1, 2010), customers must provide an Annual Load Forecast for the upcoming calendar year (January through December). The Annual Load Forecast will provide how much energy by month, on average, the customer expects to utilize over the upcoming year. Throughout the year the customer's actual energy usage will be monitored. At the end of the year, if the customer's Annual Forecast Error is more than the Annual Threshold then a Load Forecast Adjustment is calculated and the adjustment will be billed to the customer. Up to 45 days prior to the beginning of a month, the customer may submit a Revised Load Forecast to update the District on the amount of energy by month, on average, the customer expects to utilize over the remaining months of the year. If the customer's Monthly Forecast Error is less than the Monthly Threshold, the Maximum Adjustment Rate will be reduced by $1 for each month it does not exceed the Monthly Threshold, for a maximum reduction of $12. If a customer obtains load subject to a Load Forecast Adjustment, the customer also takes responsibility for the obligations of the previous customer created by this policy. See Exhibit 1 for specific calculations and methodology.

451

Magnetoelectric nano-Fe3O4?CoFe2O4?PbZr0.53Ti0.47O3 composite  

E-Print Network [OSTI]

A new magnetoelectric hybrid device composed of a nanoparticulate magnetostrictive iron oxide-cobalt ferritefilm on a piezoelectric lead zirconic titanate crystal serving as both substrate and straining medium is described. Nano-Fe3O4?CoFe2O4...

Ren, Shenqiang; Wuttig, Manfred

2008-02-26T23:59:59.000Z

452

Data:Ace4e92f-7383-4b3f-9cd4-aa0fb1b6acfe | Open Energy Information  

Open Energy Info (EERE)

f-7383-4b3f-9cd4-aa0fb1b6acfe f-7383-4b3f-9cd4-aa0fb1b6acfe No revision has been approved for this page. It is currently under review by our subject matter experts. Jump to: navigation, search Loading... 1. Basic Information 2. Demand 3. Energy << Previous 1 2 3 Next >> Basic Information Utility name: South Central Public Pwr Dist Effective date: 2012/05/01 End date if known: Rate name: Municipal Lighting Service From Leased Facilitiees Rate N151 Sector: Lighting Description: Source or reference: Illinois State University Rate Binder #10 Source Parent: Comments Applicability Demand (kW) Minimum (kW): Maximum (kW): History (months): Energy (kWh) Minimum (kWh): Maximum (kWh): History (months): Service Voltage Minimum (V): Maximum (V): Character of Service Voltage Category: Phase Wiring: << Previous

453

Data:4d8380cf-6a3c-4b4a-814e-d0ac0210a41e | Open Energy Information  

Open Energy Info (EERE)

80cf-6a3c-4b4a-814e-d0ac0210a41e 80cf-6a3c-4b4a-814e-d0ac0210a41e No revision has been approved for this page. It is currently under review by our subject matter experts. Jump to: navigation, search Loading... 1. Basic Information 2. Demand 3. Energy << Previous 1 2 3 Next >> Basic Information Utility name: Stillwater Utilities Authority Effective date: 2012/01/01 End date if known: Rate name: ELECTRIC RATE OUTDOOR SECURITY LIGHTING MV 175W Sector: Lighting Description: This lighting fixture is no longer available for new installations. The Fixed Monthly Charge applies to Existing Distribution on Wood Poles. Additional Charges: If an extension of SEU's secondary circuit and a pole was necessary for the area security light, the monthly rate below shall be increased for each security light as follows:

454

Data:4a5434a7-3a95-4ffa-96e6-842c4cf79233 | Open Energy Information  

Open Energy Info (EERE)

34a7-3a95-4ffa-96e6-842c4cf79233 34a7-3a95-4ffa-96e6-842c4cf79233 No revision has been approved for this page. It is currently under review by our subject matter experts. Jump to: navigation, search Loading... 1. Basic Information 2. Demand 3. Energy << Previous 1 2 3 Next >> Basic Information Utility name: Village of Hemingford, Nebraska (Utility Company) Effective date: 2012/10/01 End date if known: 2013/09/30 Rate name: Residential Sector: Residential Description: To single-family residences and individually metered apartments for all domestic purposes when all service is supplied through a single meter, provided ratings of individual single-phase motors do not exceed five (5) horsepower. Source or reference: ISU Documentation Source Parent: Comments Applicability Demand (kW)

455

Data:4d0aa00a-63fa-4df3-b0a4-a04c67c239ce | Open Energy Information  

Open Energy Info (EERE)

0a-63fa-4df3-b0a4-a04c67c239ce 0a-63fa-4df3-b0a4-a04c67c239ce No revision has been approved for this page. It is currently under review by our subject matter experts. Jump to: navigation, search Loading... 1. Basic Information 2. Demand 3. Energy << Previous 1 2 3 Next >> Basic Information Utility name: City of Kings Mountain, North Carolina (Utility Company) Effective date: 2011/07/31 End date if known: Rate name: Outdoor Lighting Service- 250W High Pressure Sodium- Flood, New Pole Sector: Lighting Description: Available to individual customer at locations on the City's distribution system. Source or reference: http://www.cityofkm.com/Downloads/billing/Electric_Rates.pdf Source Parent: Comments Applicability Demand (kW) Minimum (kW): Maximum (kW): History (months): Energy (kWh) Minimum (kWh):

456

Data:4cdb0960-9f3a-4a4f-b402-b84c8714c061 | Open Energy Information  

Open Energy Info (EERE)

cdb0960-9f3a-4a4f-b402-b84c8714c061 cdb0960-9f3a-4a4f-b402-b84c8714c061 No revision has been approved for this page. It is currently under review by our subject matter experts. Jump to: navigation, search Loading... 1. Basic Information 2. Demand 3. Energy << Previous 1 2 3 Next >> Basic Information Utility name: Poudre Valley R E A, Inc Effective date: 2013/01/01 End date if known: Rate name: SHL - Lighting Sales Public Street/Highway 400-Watt high pressure sodium lamp100-Watt high pressure sodium lamp Sector: Lighting Description: Available to Public Authorities for street and highway lighting from dusk to dawn, subject to the established rates and regulations, tariffs, bylaws and Articles of Incorporation of the Association. Source or reference: http://www.pvrea.com/members/index.html

457

Data:C37ed4e6-4dff-4b5f-8ea3-93aef77deea6 | Open Energy Information  

Open Energy Info (EERE)

e6-4dff-4b5f-8ea3-93aef77deea6 e6-4dff-4b5f-8ea3-93aef77deea6 No revision has been approved for this page. It is currently under review by our subject matter experts. Jump to: navigation, search Loading... 1. Basic Information 2. Demand 3. Energy << Previous 1 2 3 Next >> Basic Information Utility name: City of Emerson, Nebraska (Utility Company) Effective date: 2013/01/01 End date if known: Rate name: 100 watt High Pressure Sodium Sector: Lighting Description: All customers are eligible to lease private lighting owned and maintained by NeNPPD. This leased lighting is unmetered and NeNPPD provides all of the energy required. See other side for private lighting service agreement Source or reference: http://nnppd.com/billing/rates/ Source Parent: Comments Applicability Demand (kW)

458

Data:F4e5d796-4e10-4aaa-ba56-a019a108cab3 | Open Energy Information  

Open Energy Info (EERE)

d796-4e10-4aaa-ba56-a019a108cab3 d796-4e10-4aaa-ba56-a019a108cab3 No revision has been approved for this page. It is currently under review by our subject matter experts. Jump to: navigation, search Loading... 1. Basic Information 2. Demand 3. Energy << Previous 1 2 3 Next >> Basic Information Utility name: City of Bountiful, Utah (Utility Company) Effective date: 2011/07/01 End date if known: Rate name: High Pressure Sodium 150w Horizontal Sector: Lighting Description: This schedule is for electric service required for security area lighting and for security flood lighting where electric service is supplied from a BCLP overhead wood pole system, unless otherwise indicated. Source or reference: http://www.bountifulutah.gov/PowerMain.aspx Source Parent: Comments Applicability Demand (kW)

459

Data:4fa49e45-f0f3-4bb4-8987-1a707fe64b51 | Open Energy Information  

Open Energy Info (EERE)

5-f0f3-4bb4-8987-1a707fe64b51 5-f0f3-4bb4-8987-1a707fe64b51 No revision has been approved for this page. It is currently under review by our subject matter experts. Jump to: navigation, search Loading... 1. Basic Information 2. Demand 3. Energy << Previous 1 2 3 Next >> Basic Information Utility name: Nemaha-Marshall E C A, Inc Effective date: 2007/05/15 End date if known: Rate name: Private Street and Area Lighting (PSL-06) (250 W Metered Mercury Vapor) Sector: Lighting Description: Outdoor Lighting service to individual consumers. 100 W Metered Mercury Vapor. Source or reference: Rate Binder #7 (Illinois State University) Source Parent: Comments Applicability Demand (kW) Minimum (kW): Maximum (kW): History (months): Energy (kWh) Minimum (kWh): Maximum (kWh): History (months): Service Voltage

460

Data:4bc6bc35-d43e-4e3d-b851-45a595847a4a | Open Energy Information  

Open Energy Info (EERE)

bc35-d43e-4e3d-b851-45a595847a4a bc35-d43e-4e3d-b851-45a595847a4a No revision has been approved for this page. It is currently under review by our subject matter experts. Jump to: navigation, search Loading... 1. Basic Information 2. Demand 3. Energy << Previous 1 2 3 Next >> Basic Information Utility name: City of Covington, Indiana (Utility Company) Effective date: End date if known: Rate name: Security Light: Monthly Sector: Lighting Description: Note: August to August, advance usage. A Fuel Cost Adjustment will apply. The Adjustment is calculated on a quarterly basis. Source or reference: Rates Binder 1, Illinois State University Source Parent: Comments Applicability Demand (kW) Minimum (kW): Maximum (kW): History (months): Energy (kWh) Minimum (kWh): Maximum (kWh): History (months): Service Voltage

Note: This page contains sample records for the topic "forecast 4 3" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


461

Data:3e6bc317-dda8-4eee-baf6-0c4d75ecc4a8 | Open Energy Information  

Open Energy Info (EERE)

bc317-dda8-4eee-baf6-0c4d75ecc4a8 bc317-dda8-4eee-baf6-0c4d75ecc4a8 No revision has been approved for this page. It is currently under review by our subject matter experts. Jump to: navigation, search Loading... 1. Basic Information 2. Demand 3. Energy << Previous 1 2 3 Next >> Basic Information Utility name: Kandiyohi Power Coop Effective date: 2000/10/01 End date if known: Rate name: NG (No Generator) Sector: Commercial Description: Available to customers with peak demand greater than 25 KW and have demonstrated installed generator capacity sufficient to carry this load during system peaks. Customer agrees to operate generator when requested by Kandiyohi Power Coop&/ Great River Energy. Operation may occur at anytime during the month but will usually coincide with Great River Energy peaking periods.

462

Study of the Ce3+/Ce4+ Redox Couple in Mixed-Acid Media (CH3SO3H and H2SO4) for Redox Flow Battery Application  

Science Journals Connector (OSTI)

Study of the Ce3+/Ce4+ Redox Couple in Mixed-Acid Media (CH3SO3H and H2SO4) for Redox Flow Battery Application ... The present paper first reports a kind of supporting electrolyte, mixed-acid media (CH3SO3H and H2SO4), used in redox flow battery (RFB) technology. ... Redox flow battery (RFB) technology(1, 2) has received wide attention in the application for renewable energy storage systems. ...

Zhipeng Xie; Fengjiao Xiong; Debi Zhou

2011-04-19T23:59:59.000Z

463

Above-threshold ionization near the 3p4d 1 autoionizing state in magnesium  

E-Print Network [OSTI]

Above-threshold ionization near the 3p4d 1 Fo autoionizing state in magnesium A. Reber,1 T. Baynard ionization of magnesium from the 3 1 P state in the region of the 3p4d 1 Fo autoionizing resonance, in which of magnesium atoms just inside the focus of a magnetic bottle spectrometer MBS 13 . One laser is tuned

Berry, R. Stephen

464

Data:3e4c8afd-bfa3-49b1-b4eb-ed14512ed693 | Open Energy Information  

Open Energy Info (EERE)

afd-bfa3-49b1-b4eb-ed14512ed693 afd-bfa3-49b1-b4eb-ed14512ed693 No revision has been approved for this page. It is currently under review by our subject matter experts. Jump to: navigation, search Loading... 1. Basic Information 2. Demand 3. Energy << Previous 1 2 3 Next >> Basic Information Utility name: Canadian Valley Elec Coop, Inc Effective date: 2009/02/11 End date if known: Rate name: Security Lighting 175Watt MV Sector: Lighting Description: 1. Available to all areas served retail by cooperative. 2. Available to only Standard Area Security Lights and poles conforming to Cooperative specifications. 3. Subject to cost adjustment. Source or reference: Rate binder # 4 Source Parent: Comments Applicability Demand (kW) Minimum (kW): Maximum (kW): History (months): Energy (kWh) Minimum (kWh):

465

3-4-10_Final_Testimony_(BPA)_(Wright).pdf  

Broader source: Energy.gov (indexed) [DOE]

STATEMENT OF STATEMENT OF STEPHEN J. WRIGHT ADMINISTRATOR BONNEVILLE POWER ADMINISTRATION U. S. DEPARTMENT OF ENERGY BEFORE THE SUBCOMMITTEE ON WATER AND POWER COMMITTEE ON NATURAL RESOURCES U. S. HOUSE OF REPRESENTATIVES MARCH 4, 2010 1 Madam Chairman and Members of the Subcommittee, I appreciate the opportunity to testify here today. My name is Steve Wright; I am the Administrator of the Bonneville Power Administration (Bonneville). I am pleased to be here today to discuss the President's Fiscal Year (FY) 2011 Budget as it relates to Bonneville. In my testimony today, I will share with the Committee Bonneville's significant successes over the past year, how we are addressing the considerable challenges we are facing, and an overview of the FY 2011 budget.

466

Data:70cdcab5-a1d4-4c3c-b9d4-3240ecf341a5 | Open Energy Information  

Open Energy Info (EERE)

cdcab5-a1d4-4c3c-b9d4-3240ecf341a5 cdcab5-a1d4-4c3c-b9d4-3240ecf341a5 No revision has been approved for this page. It is currently under review by our subject matter experts. Jump to: navigation, search Loading... 1. Basic Information 2. Demand 3. Energy << Previous 1 2 3 Next >> Basic Information Utility name: City of Prescott, Arkansas (Utility Company) Effective date: End date if known: Rate name: Rental Lights-Night water-250 MV Sector: Lighting Description: Source or reference: Rate Binder#4 (Illinois State University) Source Parent: Comments Applicability Demand (kW) Minimum (kW): Maximum (kW): History (months): Energy (kWh) Minimum (kWh): Maximum (kWh): History (months): Service Voltage Minimum (V): Maximum (V): Character of Service Voltage Category: Phase Wiring: << Previous 1 2 3 Next >>

467

Data:463c814c-ffb4-4a3e-b849-5e4dbbd46e56 | Open Energy Information  

Open Energy Info (EERE)

4c-ffb4-4a3e-b849-5e4dbbd46e56 4c-ffb4-4a3e-b849-5e4dbbd46e56 No revision has been approved for this page. It is currently under review by our subject matter experts. Jump to: navigation, search Loading... 1. Basic Information 2. Demand 3. Energy << Previous 1 2 3 Next >> Basic Information Utility name: Custer Public Power District Effective date: 2012/01/01 End date if known: Rate name: IRRIGATION - RATE CLASS 30 Sector: Commercial Description: No Control. Notice: Deadline for Irrigation Rate Changes is April 1st. Source or reference: http://www.custerpower.com/2012_Rates.pdf Source Parent: Comments Applicability Demand (kW) Minimum (kW): Maximum (kW): History (months): Energy (kWh) Minimum (kWh): Maximum (kWh): History (months): Service Voltage Minimum (V): Maximum (V): Character of Service

468

Analysis of 3D and 4D proton treatment planning for hepatic tumors  

E-Print Network [OSTI]

The purpose of this study is to assess the difference between 4D liver dose calculations versus standard 3D treatment planning and to investigate the dosimetric gain of gating on radiation dose to normal tissue. 4DCT scans ...

Wi?niowska, Agata El?bieta

2011-01-01T23:59:59.000Z

469

E-Print Network 3.0 - arctic alaska r4d Sample Search Results  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

for: arctic alaska r4d Page: << < 1 2 3 4 5 > >> 1 revised 122010 Alaska Cooperative Fish and Wildlife Research Unit Summary: . 1966. The recreational potential of the Arctic...

470

E-Print Network 3.0 - analysis improves col4a5 Sample Search...  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

improves col4a5 Page: << < 1 2 3 4 5 > >> 1 v2: web-based selection of oligonucleotide primer trios for genotyping of human and Summary: tcacactcaggccacatca ggtgaaagcccagtaacataaga...

471

E-Print Network 3.0 - atlas fe-i4 pixel Sample Search Results  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

pixel Search Powered by Explorit Topic List Advanced Search Sample search results for: atlas fe-i4 pixel Page: << < 1 2 3 4 5 > >> 1 Joint ATLASCMS SLHC Opto WG 1 March 5, 2010...

472

Data:B521f9c3-1b73-4b92-9242-95527ef1b4d3 | Open Energy Information  

Open Energy Info (EERE)

1f9c3-1b73-4b92-9242-95527ef1b4d3 1f9c3-1b73-4b92-9242-95527ef1b4d3 No revision has been approved for this page. It is currently under review by our subject matter experts. Jump to: navigation, search Loading... 1. Basic Information 2. Demand 3. Energy << Previous 1 2 3 Next >> Basic Information Utility name: Shawano Municipal Utilities Effective date: 2007/08/20 End date if known: Rate name: Street Lighting 150w HPS Utility owned Sector: Lighting Description: Fixture Only $5.00/mo 15 to 16 ft. cast iron, wood or steel... $3.40/month/pole 16ft. aluminum pole ......... $4.50/ month/pole 30ft. fiberglass w/ (1)6` arm ......... $10.50/month/pole 30ft. fiberglass w/ (1) 12` arm ......... $11/month/pole 30ft. fiberglass w/ (2) 12` arm ............ $13/month/pole 30f .steel w/ (1) arm ............ $10/month/pole

473

OpenEI Community - energy data + forecasting  

Open Energy Info (EERE)

FRED FRED http://en.openei.org/community/group/fred Description: Free Energy Database Tool on OpenEI This is an open source platform for assisting energy decision makers and policy makers in formulating policies and energy plans based on easy to use forecasting tools, visualizations, sankey diagrams, and open data. The platform will live on OpenEI and this community was established to initiate discussion around continuous development of this tool, integrating it with new datasets, and connecting with the community of users who will want to contribute data to the tool and use the tool for planning purposes. energy data + forecasting Fri, 22 Jun 2012 15:30:20 +0000 Dbrodt 34

474

Voluntary Green Power Market Forecast through 2015  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

158 158 May 2010 Voluntary Green Power Market Forecast through 2015 Lori Bird National Renewable Energy Laboratory Ed Holt Ed Holt & Associates, Inc. Jenny Sumner and Claire Kreycik National Renewable Energy Laboratory National Renewable Energy Laboratory 1617 Cole Boulevard, Golden, Colorado 80401-3393 303-275-3000 * www.nrel.gov NREL is a national laboratory of the U.S. Department of Energy Office of Energy Efficiency and Renewable Energy Operated by the Alliance for Sustainable Energy, LLC Contract No. DE-AC36-08-GO28308 Technical Report NREL/TP-6A2-48158 May 2010 Voluntary Green Power Market Forecast through 2015 Lori Bird National Renewable Energy Laboratory Ed Holt Ed Holt & Associates, Inc. Jenny Sumner and Claire Kreycik National Renewable Energy Laboratory

475

EIA - Forecasts and Analysis of Energy Data  

Gasoline and Diesel Fuel Update (EIA)

Highlights Highlights World energy consumption is projected to increase by 57 percent from 2002 to 2025. Much of the growth in worldwide energy use in the IEO2005 reference case forecast is expected in the countries with emerging economies. Figure 1. World Marketed Energy Consumptiion by Region, 1970-2025. Need help, contact the National Energy Information Center at 202-586-8800. Figure Data In the International Energy Outlook 2005 (IEO2005) reference case, world marketed energy consumption is projected to increase on average by 2.0 percent per year over the 23-year forecast horizon from 2002 to 2025—slightly lower than the 2.2-percent average annual growth rate from 1970 to 2002. Worldwide, total energy use is projected to grow from 412 quadrillion British thermal units (Btu) in 2002 to 553 quadrillion Btu in

476

FORSITE: a geothermal site development forecasting system  

SciTech Connect (OSTI)

The Geothermal Site Development Forecasting System (FORSITE) is a computer-based system being developed to assist DOE geothermal program managers in monitoring the progress of multiple geothermal electric exploration and construction projects. The system will combine conceptual development schedules with site-specific status data to predict a time-phased sequence of development likely to occur at specific geothermal sites. Forecasting includes estimation of industry costs and federal manpower requirements across sites on a year-by-year basis. The main advantage of the system, which relies on reporting of major, easily detectable industry activities, is its ability to use relatively sparse data to achieve a representation of status and future development.

Entingh, D.J.; Gerstein, R.E.; Kenkeremath, L.D.; Ko, S.M.

1981-10-01T23:59:59.000Z

477

Fe/Al2O3 C2H4 Hata mm/10 min  

E-Print Network [OSTI]

Fe/Al2O3 C2H4 () () () () () () () * () 1. (SWNT) SWNT (CVD) (CNT)[1] Hata mm/10 min SWNT (Super Growth)[2]Al2O3 Fe C2H4 SWNT Fe/Al2O3 C2H4 CVD SWNT CNT CNT 2 SiO2 Al2O3 20 (RBM) 1350 cm-1 (D-Band)Fe G/D RBM Fe SWNT Al 15 nm Fe 0.6 nm CVD TEM Fig. 3 3 nm SWNT

Maruyama, Shigeo

478

Data:A40c333b-4ae4-4f04-bf93-19c2cb3cd996 | Open Energy Information  

Open Energy Info (EERE)

3b-4ae4-4f04-bf93-19c2cb3cd996 3b-4ae4-4f04-bf93-19c2cb3cd996 No revision has been approved for this page. It is currently under review by our subject matter experts. Jump to: navigation, search Loading... 1. Basic Information 2. Demand 3. Energy << Previous 1 2 3 Next >> Basic Information Utility name: Long Island Power Authority Effective date: 2012/03/05 End date if known: Rate name: 481 (Time of Use-Residential Off Peak Storage) Sector: Residential Description: Available to Rate 180 customers who use electricity to store energy during the offpeak hours of: * Midnight to 7:00 AM (Rate 480) * 10:00 PM to 10:00 AM (Rate 481) Customers are required to have separately metered, segregated circuits for this rate and cannot use the separately metered electricity for any other purpose except for energy storage and also at no other time except as specified above.

479

Data:Ebde3dd4-4db0-4e2c-a815-294568e8dbf9 | Open Energy Information  

Open Energy Info (EERE)

Ebde3dd4-4db0-4e2c-a815-294568e8dbf9 Ebde3dd4-4db0-4e2c-a815-294568e8dbf9 No revision has been approved for this page. It is currently under review by our subject matter experts. Jump to: navigation, search Loading... 1. Basic Information 2. Demand 3. Energy << Previous 1 2 3 Next >> Basic Information Utility name: Firelands Electric Coop, Inc Effective date: End date if known: Rate name: Outdoor Lighting-250 W Sodium Sector: Lighting Description: Source or reference: Source Parent: Comments Applicability Demand (kW) Minimum (kW): Maximum (kW): History (months): Energy (kWh) Minimum (kWh): Maximum (kWh): History (months): Service Voltage Minimum (V): Maximum (V): Character of Service Voltage Category: Phase Wiring: << Previous 1 2 3 Next >> << Previous 1 2 3 Next >> Seasonal/Monthly Demand Charge Structures

480

Stellar Astrophysics Requirements NERSC Forecast  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Requirements for Requirements for m461:Stellar Explosions in Three Dimensions Tomek Plewa (Florida State University) + 3 graduate students, Artur Gawryszczak (Warsaw), Konstantinos Kifonidis (Munich), Andrzej Odrzywolek (Cracow), Ju Zhang (FIT), Andrey Zhiglo (Kharkov) 1. m461: Stellar Explosions in Three Dimensions * Summarize your projects and expected scientific objectives through 2014 * Modeling and simulations of transient phenomena in stellar astrophysics driven by either radiation or thermonuclear processes * Numerical solution of a coupled system of PDEs and ODEs * Tame nonlinearity! * Our goal is to ... * Explain observed properties of exploding stellar objects * Present focus is ... * Neutrino-driven core-collapse supernova explosions * In the next 3 years we expect to ...

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481

Forecasting hotspots using predictive visual analytics approach  

SciTech Connect (OSTI)

A method for forecasting hotspots is provided. The method may include the steps of receiving input data at an input of the computational device, generating a temporal prediction based on the input data, generating a geospatial prediction based on the input data, and generating output data based on the time series and geospatial predictions. The output data may be configured to display at least one user interface at an output of the computational device.

Maciejewski, Ross; Hafen, Ryan; Rudolph, Stephen; Cleveland, William; Ebert, David

2014-12-30T23:59:59.000Z

482

Solar Wind Forecasting with Coronal Holes  

E-Print Network [OSTI]

An empirical model for forecasting solar wind speed related geomagnetic events is presented here. The model is based on the estimated location and size of solar coronal holes. This method differs from models that are based on photospheric magnetograms (e.g., Wang-Sheeley model) to estimate the open field line configuration. Rather than requiring the use of a full magnetic synoptic map, the method presented here can be used to forecast solar wind velocities and magnetic polarity from a single coronal hole image, along with a single magnetic full-disk image. The coronal hole parameters used in this study are estimated with Kitt Peak Vacuum Telescope He I 1083 nm spectrograms and photospheric magnetograms. Solar wind and coronal hole data for the period between May 1992 and September 2003 are investigated. The new model is found to be accurate to within 10% of observed solar wind measurements for its best one-month periods, and it has a linear correlation coefficient of ~0.38 for the full 11 years studied. Using a single estimated coronal hole map, the model can forecast the Earth directed solar wind velocity up to 8.5 days in advance. In addition, this method can be used with any source of coronal hole area and location data.

S. Robbins; C. J. Henney; J. W. Harvey

2007-01-09T23:59:59.000Z

483

Data:3d407e99-aeba-4ba5-b0a4-155160075547 | Open Energy Information  

Open Energy Info (EERE)

-aeba-4ba5-b0a4-155160075547 -aeba-4ba5-b0a4-155160075547 No revision has been approved for this page. It is currently under review by our subject matter experts. Jump to: navigation, search Loading... 1. Basic Information 2. Demand 3. Energy << Previous 1 2 3 Next >> Basic Information Utility name: City of Groton, South Dakota (Utility Company) Effective date: End date if known: Rate name: Schedule L - Security Lights Metered Sector: Lighting Description: Disconnection or Reconnection Fee - $25 Source or reference: http://city.grotonsd.gov/electric.html Source Parent: Comments Applicability Demand (kW) Minimum (kW): Maximum (kW): History (months): Energy (kWh) Minimum (kWh): Maximum (kWh): History (months): Service Voltage Minimum (V): Maximum (V): Character of Service Voltage Category: Phase Wiring:

484

Synthesis and application of1,3,4,5,7,8-Hexafluorotetracyanonaphtoqui...  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Hexafluorotetracyanonaphtoquinodimethane (F6-TNAP): A Conductivity Dopant for Organic Synthesis and application of 1,3,4,5,7,8-Hexafluorotetracyanonaphtoquinodimethane (F6-TNAP): A...

485

E-Print Network 3.0 - apolipoprotein e4 genotype Sample Search...  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

human apolipoprotein E3 or E4... : ... Source: Columbia University, Taub Institute, Cognitive Neuroscience Division Collection: Biology and Medicine 2 Association between the...

486

Data:4ddb4011-4c3f-45f5-aea6-c8bb3c2bcaed | Open Energy Information  

Open Energy Info (EERE)

ddb4011-4c3f-45f5-aea6-c8bb3c2bcaed ddb4011-4c3f-45f5-aea6-c8bb3c2bcaed No revision has been approved for this page. It is currently under review by our subject matter experts. Jump to: navigation, search Loading... 1. Basic Information 2. Demand 3. Energy << Previous 1 2 3 Next >> Basic Information Utility name: Modesto Irrigation District Effective date: 2011/01/01 End date if known: Rate name: Schedule D Residential Service Sector: Residential Description: Applicability This Schedule is applicable to individual family accommodations devoted primarily to residential, household and related purposes (as distinguished from commercial, professional and industrial purposes), to general farm service on a farm, where the residence on such farm is supplied through the same meter, and to public dwelling units as provided in Special Provision 1.

487

Data:4dc418a0-7acb-4a01-931d-03b8337c3ec3 | Open Energy Information  

Open Energy Info (EERE)

7acb-4a01-931d-03b8337c3ec3 7acb-4a01-931d-03b8337c3ec3 No revision has been approved for this page. It is currently under review by our subject matter experts. Jump to: navigation, search Loading... 1. Basic Information 2. Demand 3. Energy << Previous 1 2 3 Next >> Basic Information Utility name: Entergy Gulf States Louisiana LLC Effective date: 2010/07/09 End date if known: Rate name: 2 Lightinhg service to existing instalation only - schedule SHL - MV - 175W Sector: Lighting Description: This rate schedule is applicable under the regular terms and conditions of Company to Street and Highway Lighting Service, Area Lighting Service, and Residential Subdivision Lighting (existing installations or extensions thereof) only. This rate is not applicable to new installations.

488

Data:158bc8a4-41b8-4e26-8306-3a1667bb68f3 | Open Energy Information  

Open Energy Info (EERE)

a4-41b8-4e26-8306-3a1667bb68f3 a4-41b8-4e26-8306-3a1667bb68f3 No revision has been approved for this page. It is currently under review by our subject matter experts. Jump to: navigation, search Loading... 1. Basic Information 2. Demand 3. Energy << Previous 1 2 3 Next >> Basic Information Utility name: Caddo Electric Coop, Inc Effective date: 2007/05/01 End date if known: Rate name: Park Lights 1000-Watt Sector: Lighting Description: - Available to all consumers located on or adjacent to cooperative's single-phase or three-phase lines. - Subject to power cost adjustment,tax adjustment and rate revisions. Source or reference: Rate binder # 4 Source Parent: Comments Applicability Demand (kW) Minimum (kW): Maximum (kW): History (months): Energy (kWh) Minimum (kWh): Maximum (kWh): History (months):

489

Data:58855357-f7a4-4edb-a876-c3ce3b84196b | Open Energy Information  

Open Energy Info (EERE)

f7a4-4edb-a876-c3ce3b84196b f7a4-4edb-a876-c3ce3b84196b No revision has been approved for this page. It is currently under review by our subject matter experts. Jump to: navigation, search Loading... 1. Basic Information 2. Demand 3. Energy << Previous 1 2 3 Next >> Basic Information Utility name: Detroit Edison Co Effective date: 2011/12/21 End date if known: Rate name: Electric Process Heating < 4.8 kV secondary - 11,501 - 41,500 kWh Sector: Industrial Description: Source or reference: www.dteenergy.com/pdfs/detroitEdisonTariff.pdf Source Parent: Comments Applicability Demand (kW) Minimum (kW): Maximum (kW): History (months): Energy (kWh) Minimum (kWh): Maximum (kWh): History (months): Service Voltage Minimum (V): Maximum (V): Character of Service Voltage Category: Phase Wiring: << Previous

490

The vapour pressure of 3,3,4,4-tetrahydrothiophene-1,1-dioxide by the effusion method  

Science Journals Connector (OSTI)

The vapour pressure was determined at 18 temperatures in the range 30-75 degrees C, with a minimum of two results at each temperature. Measured vapour pressures were in the range 0.3 to 30 mTorr and are expressed by the following equation for the solid phase of this compound: lg p=11.74-(4631/T), where p is the vapour pressure in Torr and T is the absolute temperature in K. The 95% confidence limits for the respective constants of the equation are 0.26 and 85. The average difference between the raw data and the fitted data was 3.8%. Experimental conditions studied included effusion hole diameter and effusion time. The compound undergoes no phase change or decomposition below 143 degrees C, at which temperature there is a loss of HCl.

R S De Pablo

1978-01-01T23:59:59.000Z

491

Data:Fc67783e-6fe4-4e3a-b7f1-e1918eb4f105 | Open Energy Information  

Open Energy Info (EERE)

Fc67783e-6fe4-4e3a-b7f1-e1918eb4f105 Fc67783e-6fe4-4e3a-b7f1-e1918eb4f105 No revision has been approved for this page. It is currently under review by our subject matter experts. Jump to: navigation, search Loading... 1. Basic Information 2. Demand 3. Energy << Previous 1 2 3 Next >> Basic Information Utility name: City of Harmony, Minnesota (Utility Company) Effective date: 2013/06/15 End date if known: Rate name: Dual Fuel Service Sector: Commercial Description: Additional Info: Summer June 15th - September 15th of usage Other January 15th - June 15th & September 15th - January 15th of usage Source or reference: http://www.harmony.mn.us/vertical/sites/%7BF58070D9-8755-4E19-AB36-50206B76B06C%7D/uploads/2013_Rates.pdf Source Parent: Comments Applicability Demand (kW) Minimum (kW): Maximum (kW):

492

Data:7f621c0a-cc4a-4d3b-93cb-6d4efd6ba27f | Open Energy Information  

Open Energy Info (EERE)

1c0a-cc4a-4d3b-93cb-6d4efd6ba27f 1c0a-cc4a-4d3b-93cb-6d4efd6ba27f No revision has been approved for this page. It is currently under review by our subject matter experts. Jump to: navigation, search Loading... 1. Basic Information 2. Demand 3. Energy << Previous 1 2 3 Next >> Basic Information Utility name: Carroll County REMC Effective date: 2012/04/01 End date if known: Rate name: LARGE POWER - PRIMARY SERVICE RATE SCHEDULE Sector: Industrial Description: *THE DEMAND CHARGE IS PRICED BY USAGE, WE DONT HAVE A WAY TO ENTERING INTO THE SYSTEM. Demand Charge: First 500 kW of billing demand or less $4,300.00 All over 500 kW of billing demand per month @ $9.00 per kW Energy Charge - All kWh $0.0696 per kWh Source or reference: http://www.cwremc.com/index.php?option=com_content&view=article&id=139&Itemid=86

493

Data:A9361bc9-3cc4-4bac-ba51-4f64121de1bb | Open Energy Information  

Open Energy Info (EERE)

61bc9-3cc4-4bac-ba51-4f64121de1bb 61bc9-3cc4-4bac-ba51-4f64121de1bb No revision has been approved for this page. It is currently under review by our subject matter experts. Jump to: navigation, search Loading... 1. Basic Information 2. Demand 3. Energy << Previous 1 2 3 Next >> Basic Information Utility name: Groton Dept of Utilities Effective date: 2008/10/01 End date if known: Rate name: Street and Area Lighting Service(60 W Fire Alarm) Sector: Commercial Description: Applicable to public or private customers for standard street and area lighting installations provided and maintained by the Department to render 4,000 annual hours of lighting. Overhead installation is a light fixture attached to an existing overhead distribution system pole. Underground installation is a light fixture attached to a new pole served from an existing underground distribution system.

494

Data:A96212c7-e3a2-4b55-ac1c-32d910fb4f4b | Open Energy Information  

Open Energy Info (EERE)

c7-e3a2-4b55-ac1c-32d910fb4f4b c7-e3a2-4b55-ac1c-32d910fb4f4b No revision has been approved for this page. It is currently under review by our subject matter experts. Jump to: navigation, search Loading... 1. Basic Information 2. Demand 3. Energy << Previous 1 2 3 Next >> Basic Information Utility name: Public Service Co of NH Effective date: 2010/07/01 End date if known: Rate name: LOAD CONTROLLED DELIVERY SERVICE RAT3E LCS RADIO CONTROLLED OPTION Sector: Commercial Description: UNCONTROLLED WATER HEATING RATE Source or reference: Source Parent: Comments Applicability Demand (kW) Minimum (kW): Maximum (kW): History (months): Energy (kWh) Minimum (kWh): Maximum (kWh): History (months): Service Voltage Minimum (V): Maximum (V): Character of Service Voltage Category: Phase Wiring: << Previous

495

Data:8666c420-c35d-4ca3-985c-18a4eb77a1d4 | Open Energy Information  

Open Energy Info (EERE)

6c420-c35d-4ca3-985c-18a4eb77a1d4 6c420-c35d-4ca3-985c-18a4eb77a1d4 No revision has been approved for this page. It is currently under review by our subject matter experts. Jump to: navigation, search Loading... 1. Basic Information 2. Demand 3. Energy << Previous 1 2 3 Next >> Basic Information Utility name: Town of Concord, Massachusetts (Utility Company) Effective date: 2013/01/01 End date if known: Rate name: RATE G-3 LARGE GENERAL Sector: Commercial Description: Customer's maximum metered on-peak kilowatt demand is equal to or greater than 200 kW at a single metered location. If the billing demand does not exceed 200 kW for a one-year period, the Customer may request assignment to the Medium General Service rate schedule. Source or reference: http://www.concordma.gov/pages/ConcordMA_LightPlant/CMLP_new_rates

496

Data:B9c3d12d-32c4-4dcc-b863-4a214057d29b | Open Energy Information  

Open Energy Info (EERE)

c3d12d-32c4-4dcc-b863-4a214057d29b c3d12d-32c4-4dcc-b863-4a214057d29b No revision has been approved for this page. It is currently under review by our subject matter experts. Jump to: navigation, search Loading... 1. Basic Information 2. Demand 3. Energy << Previous 1 2 3 Next >> Basic Information Utility name: Village of Hemingford, Nebraska (Utility Company) Effective date: 2013/10/01 End date if known: Rate name: General Service Demand (October 2013) Sector: Commercial Description: To business accounts having a demand in excess of 100 kW for three (3) consecutive months. To energy used by electric motors in excess of one hundred (100) horsepower or other power equipment in excess of one (100) kW to be metered separate from other service having a highly fluctuating or large instantaneous demand.

497

Data:A3fc4f59-df24-4aa4-9800-262fc10db403 | Open Energy Information  

Open Energy Info (EERE)

f59-df24-4aa4-9800-262fc10db403 f59-df24-4aa4-9800-262fc10db403 No revision has been approved for this page. It is currently under review by our subject matter experts. Jump to: navigation, search Loading... 1. Basic Information 2. Demand 3. Energy << Previous 1 2 3 Next >> Basic Information Utility name: Farmers' Electric Coop, Inc (New Mexico) Effective date: 2010/05/01 End date if known: Rate name: Farm and Residential Sector: Residential Description: Source or reference: Rate Binder#8 (Illinois State University) Source Parent: Comments Applicability Demand (kW) Minimum (kW): Maximum (kW): History (months): Energy (kWh) Minimum (kWh): Maximum (kWh): History (months): Service Voltage Minimum (V): Maximum (V): Character of Service Voltage Category: Phase Wiring: << Previous 1 2 3 Next >>

498

Efficient chemical regeneration of LiBH4NH3 spent fuel for hydrogen storage  

Science Journals Connector (OSTI)

Abstract The absence of an efficient method for the regeneration of ammine metal borohydrides (M(BH4)nxNH3, AMBs) from their dehydrogenated products has hindered their potential application as hydrogen storage materials. In this paper, we demonstrate a high-yield chemical regeneration of LiBH4NH3 based on a three step process (digestion (H+ addition), reduction (H? addition), and ammonia complexation) at ambient temperature. Our results demonstrated that LiBN polymer was digested by methanol to form LiB(OCH3)4, which can be converted into LiBH4 by using LiAlH4 in the reduction process. The generation of LiBH4NH3 in ammonia complexion step was achieved by exposing the obtained LiBH4 in an ammonia atmosphere.

Yingbin Tan; Xiaowei Chen; Guanglin Xia; Xuebin Yu

2014-01-01T23:59:59.000Z

499

Data:34702ed8-2f91-4f3c-af4a-a423d3c483ad | Open Energy Information  

Open Energy Info (EERE)

ed8-2f91-4f3c-af4a-a423d3c483ad ed8-2f91-4f3c-af4a-a423d3c483ad No revision has been approved for this page. It is currently under review by our subject matter experts. Jump to: navigation, search Loading... 1. Basic Information 2. Demand 3. Energy << Previous 1 2 3 Next >> Basic Information Utility name: Wheat Belt Public Power Dist Effective date: 2013/04/01 End date if known: Rate name: Large Power (C-1) Sector: Commercial Description: Source or reference: http://www.wheatbelt.com/uploaded/pdf/13572235352013RSC-1.pdf Source Parent: Comments Applicability Demand (kW) Minimum (kW): Maximum (kW): History (months): Energy (kWh) Minimum (kWh): Maximum (kWh): History (months): Service Voltage Minimum (V): Maximum (V): Character of Service Voltage Category: Phase Wiring: << Previous 1 2 3 Next >>

500

Data:8067abb5-b59d-4e51-acf4-9626fe3a05f3 | Open Energy Information  

Open Energy Info (EERE)

abb5-b59d-4e51-acf4-9626fe3a05f3 abb5-b59d-4e51-acf4-9626fe3a05f3 No revision has been approved for this page. It is currently under review by our subject matter experts. Jump to: navigation, search Loading... 1. Basic Information 2. Demand 3. Energy << Previous 1 2 3 Next >> Basic Information Utility name: City of Medford, Wisconsin (Utility Company) Effective date: 1997/06/27 End date if known: Rate name: Cp-2 Large Power Time-of-Day Service between 200kW and 1,000kW Demand 9am-9pm Transformer Ownership Discount Sector: Industrial Description: This rate will be applied to customers for all types of service if their monthly maximum demand is in excess of 200kW but not greater than 1,000kW for 3 months in a consecutive 12-month period. Power Cost Adjustment Clause - All metered rates shall be subject to a positive or negative power cost adjustment charge equivalent to the amount by which the current cost of power (per kilowatt-hour of sales) is greater or lesser than the base cost of power purchased (per kilowatt-hour of sales). The base cost of power (U) is $0.0351 per kilowatt-hour.