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1

4, 189212, 2007 Forecast and  

E-Print Network (OSTI)

OSD 4, 189­212, 2007 Forecast and analysis assessment through skill scores M. Tonani et al. Title Science Forecast and analysis assessment through skill scores M. Tonani 1 , N. Pinardi 2 , C. Fratianni 1 Forecast and analysis assessment through skill scores M. Tonani et al. Title Page Abstract Introduction

Paris-Sud XI, Université de

2

3, 21452173, 2006 Probabilistic forecast  

E-Print Network (OSTI)

HESSD 3, 2145­2173, 2006 Probabilistic forecast verification F. Laio and S. Tamea Title Page for probabilistic forecasts of continuous hydrological variables F. Laio and S. Tamea DITIC ­ Department­2173, 2006 Probabilistic forecast verification F. Laio and S. Tamea Title Page Abstract Introduction

Paris-Sud XI, Université de

3

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

E-Print Network (OSTI)

Sixth Northwest Conservation and Electric Power Plan Chapter 3: Electricity Demand Forecast Summary............................................................................................................ 2 Sixth Power Plan Demand Forecast................................................................................................ 4 Demand Forecast Range

4

COLORADO STATE UNIVERSITY FORECAST OF ATLANTIC HURRICANE ACTIVITY FROM AUGUST 4 AUGUST 17, 2010  

E-Print Network (OSTI)

COLORADO STATE UNIVERSITY FORECAST OF ATLANTIC HURRICANE ACTIVITY FROM AUGUST 4 ­ AUGUST 17, 2010) of activity relative to climatology. These new two-week forecasts have replaced the monthly forecasts that we This forecast as well as past forecasts and verifications are available online at http://hurricane.atmos.colostate.edu/Forecasts

Gray, William

5

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

6

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

E-Print Network (OSTI)

COLORADO STATE UNIVERSITY FORECAST OF ATLANTIC HURRICANE ACTIVITY FROM AUGUST 3 ­ AUGUST 16, 2012 relative to climatology. (as of 3 August 2012) By Philip J. Klotzbach1 and William M. Gray2 This forecast as well as past forecasts and verifications are available online at http://hurricane.atmos.colostate.edu/Forecasts

Gray, William

7

NATIONAL AND GLOBAL FORECASTS WEST VIRGINIA PROFILES AND FORECASTS  

E-Print Network (OSTI)

· NATIONAL AND GLOBAL FORECASTS · WEST VIRGINIA PROFILES AND FORECASTS · ENERGY · HEALTHCARE Industry Insight: West Virginia Fiscal Forecast 34 CHAPTER 4: WEST ViRGiNiA'S 35 COUNTiES AND MSAs West Forecast Summary 2 CHAPTER 1: THE UNiTED STATES ECONOMY Figure 1.1: United States Real GDP Growth 3 Figure

Mohaghegh, Shahab

8

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

E-Print Network (OSTI)

A Penalized 4-D Var data assimilation method for reducing forecast error M. J. Hossen Department and observations improves the forecast. The targeted observations determined by using a targeting method, for instance adjoint sensitivity, observation sensitivity or singular vector may further improve the forecast

Navon, Michael

9

Appendix A: Fuel Price Forecast Introduction..................................................................................................................................... 1  

E-Print Network (OSTI)

Appendix A: Fuel Price Forecast Introduction................................................................................................................................. 3 Price Forecasts............................................................................................................................... 12 Oil Price Forecast Range

10

Storm Prediction Center Forecasting Issues Related to the 3 May 1999 Tornado Outbreak  

Science Conference Proceedings (OSTI)

Forecasters at the Storm Prediction Center (SPC) were faced with many challenges during the 3 May 1999 tornado outbreak. Operational numerical forecast models valid during the outbreak gave inaccurate, inconsistent, and/or ambiguous guidance to ...

Roger Edwards; Stephen F. Corfidi; Richard L. Thompson; Jeffry S. Evans; Jeffrey P. Craven; Jonathan P. Racy; Daniel W. McCarthy; Michael D. Vescio

2002-06-01T23:59:59.000Z

11

forecasts  

U.S. Energy Information Administration (EIA)

Sheet3 Sheet2 Sheet1 Figure 106. Average annual minemouth coal prices by region, 1990-2040 (2011 dollars per million Btu) Appalachia Interior West US Average

12

ELECTRICITY DEMAND FORECAST COMPARISON REPORT  

E-Print Network (OSTI)

CALIFORNIA ENERGY COMMISSION ELECTRICITY DEMAND FORECAST COMPARISON REPORT STAFFREPORT June 2005 ..............................................................................3 Residential Forecast Comparison ..............................................................................................5 Nonresidential Forecast Comparisons

13

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":""}]}

14

Solar forecasting review  

E-Print Network (OSTI)

of Solar Forecasting . . . . . . . . . 2.4.1 Solarbudget at the foundation of satellite based forecastingWeather Research and Forecasting (WRF) Model 7.1 Global

Inman, Richard Headen

2012-01-01T23:59:59.000Z

15

NFI Forecasts Methodology NFI Forecasts Methodology  

E-Print Network (OSTI)

NFI Forecasts Methodology NFI Forecasts Methodology Overview Issued by: National Forest Inventory.brewer@forestry.gsi.gov.uk Website: www.forestry.gov.uk/inventory 1 NFI Softwood Forecasts Methodology Overview #12;NFI Forecasts ........................................................................................................4 Rationale behind the new approach to the GB Private sector production forecast ........4 Volume

16

Wildfire forecasting using an open source 3D multilayer geographical framework  

Science Conference Proceedings (OSTI)

This abstract describes the development of a wildfire forecasting plugin using Capaware. Capaware is designed as an easy to use open source framework to develop 3D graphics applications over large geographic areas offering high performance 3D visualization ...

Modesto Castrilln; Pedro A. Jorge; Adrin Macas; Antonio J. Snchez; Javier Snchez; Jos P. Surez; Agustn Trujillo; Izzat Sabbagh; Ignacio J. Lpez; Rafael J. Nebot

2009-08-01T23:59:59.000Z

17

Asian summer monsoon prediction in ECMWF System 4 and NCEP CFSv2 retrospective seasonal forecasts  

E-Print Network (OSTI)

Asian summer monsoon prediction in ECMWF System 4 and NCEP CFSv2 retrospective seasonal forecasts.com Abstract The seasonal prediction skill of the Asian summer monsoon is assessed using retrospective predic and the maritime continent. The southwest monsoon flow and the Somali Jet are stronger in SYS4, while the south

Webster, Peter J.

18

R/ECON October 1999 Forecast RUTGERS ECONOMIC ADVISORY SERVICE  

E-Print Network (OSTI)

R/ECON October 1999 Forecast RUTGERS ECONOMIC ADVISORY SERVICE FORECAST OF OCTOBER 1999 NEW JERSEY the rate of inflation should remain under 3% a year. (See Table 1.) #12;Throughout the forecast period and wage growth slow later in the forecast period, income growth will average 4.8% a year between 2000

19

Information and Inference in Econometrics: Estimation, Testing and Forecasting  

E-Print Network (OSTI)

Application: Forecasting Equity Premium . . . . . . . . . .2.6.1 Forecasting4 Forecasting Using Supervised Factor Models 4.1

Tu, Yundong

2012-01-01T23:59:59.000Z

20

Estimates of Analysis and Forecast Error Variances Derived from the Adjoint of 4D-Var  

Science Conference Proceedings (OSTI)

A method is presented in which the adjoint of a four-dimensional variational data assimilation system (4D-Var) was used to compute the expected analysis and forecast error variances of linear functions of the ocean state vector. The power and ...

Andrew M. Moore; Hernan G. Arango; Gregoire Broquet

2012-10-01T23:59:59.000Z

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.


21

On the value of 3D seismic amplitude data to reduce uncertainty in the forecast of reservoir production  

E-Print Network (OSTI)

On the value of 3D seismic amplitude data to reduce uncertainty in the forecast of reservoir of this paper. We have approached the problem of assessing uncertainty in production forecasts by constructing the original distribution of petrophysical properties and to forecast oil production based on limited

Torres-Verdín, Carlos

22

California Regional Wind Energy Forecasting System Development, Vol. 3  

Science Conference Proceedings (OSTI)

The rated capacity of wind generation in California is expected to grow rapidly in the future beyond the approximately 2100 MW in place at the end of 2005. The main drivers are the state's 20 percent Renewable Portfolio Standard requirement in 2010 and the low cost of wind energy relative to other renewable energy sources. As wind is an intermittent generation resource and weather changes can cause large and rapid changes in output, system operators will need accurate and robust wind energy forecasting ...

2006-11-15T23:59:59.000Z

23

The Australian Air Quality Forecasting System. Part III: Case Study of a Melbourne 4-Day Photochemical Smog Event  

Science Conference Proceedings (OSTI)

A 4-day photochemical smog event in the Melbourne, Victoria, Australia, region (69 March 2001) is examined to assess the performance of the Australian Air Quality Forecasting System (AAQFS). Although peak ozone concentrations measured during ...

K. J. Tory; M. E. Cope; G. D. Hess; S. Lee; K. Puri; P. C. Manins; N. Wong

2004-05-01T23:59:59.000Z

24

Impact of the Different Components of 4DVAR on the Global Forecast System of the Meteorological Service of Canada  

Science Conference Proceedings (OSTI)

A four-dimensional variational data assimilation (4DVAR) scheme has recently been implemented in the medium-range weather forecast system of the Meteorological Service of Canada (MSC). The new scheme is now composed of several additional and ...

Stphane Laroche; Pierre Gauthier; Monique Tanguay; Simon Pellerin; Jose Morneau

2007-06-01T23:59:59.000Z

25

Taiwanese 3G mobile phone demand forecasting by SVR with hybrid evolutionary algorithms  

Science Conference Proceedings (OSTI)

Taiwan is one of the countries with higher mobile phone penetration rate in the world, along with the increasing maturity of 3G relevant products, the establishments of base stations, and updating regulations of 3G mobile phones, 3G mobile phones are ... Keywords: Autoregressive integrated moving average (ARIMA), Demand forecasting, General regression neural networks (GRNN), Genetic algorithm-simulated annealing (GA-SA), Support vector regression (SVR), Third generation (3G) mobile phone

Wei-Chiang Hong; Yucheng Dong; Li-Yueh Chen; Chien-Yuan Lai

2010-06-01T23:59:59.000Z

26

Potential of 4d-VAR for exigent forecasting of severe weather  

E-Print Network (OSTI)

Severe storms, tropical cyclones, and associated tornadoes, floods, lightning, and microbursts threaten life and property. Reliable, precise, and accurate alerts of these phenomena can trigger defensive actions and preparations. However, these crucial weather phenomena are difficult to forecast. The objective of this paper is to demonstrate the potential of 4d-VAR (four dimensional variational data assimilation) for exigent forecasting (XF) of severe storm precursors and to thereby characterize the probability of a worst-case scenario. 4d-VAR is designed to adjust the initial conditions (IC) of a numerical weather prediction model consistent with the uncertainty of the prior estimate of the IC while at the same time minimizing the misfit to available observations. For XF the same approach is taken but instead of fitting observations, a measure of damage or loss or an equivalent proxy is maximized or minimized. To accomplish this will require development of a specialized cost function for 4d-VAR. When 4d-VAR s...

Hoffman, Ross N; Nehrkorn, Thomas

2011-01-01T23:59:59.000Z

27

High-Resolution GFS-Based MOS Quantitative Precipitation Forecasts on a 4-km Grid  

Science Conference Proceedings (OSTI)

The Meteorological Development Laboratory (MDL) of the National Weather Service (NWS) has developed high-resolution Global Forecast System (GFS)-based model output statistics (MOS) 6- and 12-h quantitative precipitation forecast (QPF) guidance on ...

Jerome P. Charba; Frederick G. Samplatsky

2011-01-01T23:59:59.000Z

28

BEAMLINE 4-3  

NLE Websites -- All DOE Office Websites (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

29

Long-term Stock Market Forecasting using Gaussian Processes  

E-Print Network (OSTI)

Address3 email4 Abstract5 Forecasting stock market prices is an attractive topic to researchers from6 to analyze18 and forecast stock prices and index changes. The accuracy of these techniques is still an19-term predictions in stock prices.32 33 1.2 Motivation34 In stock market, investors need long-term forecasting

de Freitas, Nando

30

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 or not monetary aggregates are valuable for forecasting US inflation in the early to mid 2000s. We explore a wide collections of included monetary assets. In our forecasting experiment we use two non-linear techniques

Tino, Peter

31

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

32

Forecast Correlation Coefficient Matrix of Stock Returns in Portfolio Analysis  

E-Print Network (OSTI)

Unadjusted Forecasts . . . . . . . . . . . . . . . .Forecasts . . . . . . . . . . . . . . . . . . . . . . . . . .Unadjusted Forecasts . . . . . . . . . . . . . . . . . . .

Zhao, Feng

2013-01-01T23:59:59.000Z

33

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

34

Long-Lead Seasonal Temperature and Precipitation Prediction Using Tropical Pacific SST Consolidation Forecasts  

Science Conference Proceedings (OSTI)

Objective seasonal forecasts of temperature and precipitation for the conterminous United States are produced using tropical Pacific sea surface temperature forecasts for the Nio-3.4 region in conjunction with composites of observed temperature ...

R. W. Higgins; H-K. Kim; D. Unger

2004-09-01T23:59:59.000Z

35

Forecast Technical Document Forecast Types  

E-Print Network (OSTI)

Forecast Technical Document Forecast Types A document describing how different forecast types are implemented in the 2011 Production Forecast system. Tom Jenkins Robert Matthews Ewan Mackie Lesley Halsall #12;PF2011 ­ Forecast Types Background Different `types' of forecast are possible for a specified area

36

Why Models Don%3CU%2B2019%3Et Forecast.  

Science Conference Proceedings (OSTI)

The title of this paper, Why Models Don't Forecast, has a deceptively simple answer: models don't forecast because people forecast. Yet this statement has significant implications for computational social modeling and simulation in national security decision making. Specifically, it points to the need for robust approaches to the problem of how people and organizations develop, deploy, and use computational modeling and simulation technologies. In the next twenty or so pages, I argue that the challenge of evaluating computational social modeling and simulation technologies extends far beyond verification and validation, and should include the relationship between a simulation technology and the people and organizations using it. This challenge of evaluation is not just one of usability and usefulness for technologies, but extends to the assessment of how new modeling and simulation technologies shape human and organizational judgment. The robust and systematic evaluation of organizational decision making processes, and the role of computational modeling and simulation technologies therein, is a critical problem for the organizations who promote, fund, develop, and seek to use computational social science tools, methods, and techniques in high-consequence decision making.

McNamara, Laura A.

2010-08-01T23:59:59.000Z

37

APPLICATION OF PROBABILISTIC FORECASTS: DECISION MAKING WITH FORECAST UNCERTAINTY  

E-Print Network (OSTI)

1 APPLICATION OF PROBABILISTIC FORECASTS: DECISION MAKING WITH FORECAST UNCERTAINTY Rick Katz.isse.ucar.edu/HP_rick/dmuu.pdf #12;2 QUOTES ON USE OF PROBABILITY FORECASTS · Lao Tzu (Chinese Philosopher) "He who knows does and Value of Probability Forecasts (4) Cost-Loss Decision-Making Model (5) Simulation Example (6) Economic

Katz, Richard

38

The GloSea4 Ensemble Prediction System for Seasonal Forecasting  

Science Conference Proceedings (OSTI)

Seasonal forecasting systems, and related systems for decadal prediction, are crucial in the development of adaptation strategies to climate change. However, despite important achievements in this area in the last 10 years, significant levels of ...

Alberto Arribas; M. Glover; A. Maidens; K. Peterson; M. Gordon; C. MacLachlan; R. Graham; D. Fereday; J. Camp; A. A. Scaife; P. Xavier; P. McLean; A. Colman; S. Cusack

2011-06-01T23:59:59.000Z

39

Skill of Multimodel ENSO Probability Forecasts  

Science Conference Proceedings (OSTI)

The cross-validated hindcast skills of various multimodel ensemble combination strategies are compared for probabilistic predictions of monthly SST anomalies in the ENSO-related Nio-3.4 region of the tropical Pacific Ocean. Forecast data from ...

Michael K. Tippett; Anthony G. Barnston

2008-10-01T23:59:59.000Z

40

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

SciTech Connect

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

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

Category 4 Case 3  

Science Conference Proceedings (OSTI)

... Data Tab 4 Ms. Barbara Green arrives at RadOnc Ltd for her final radiation treatment for her infiltrating duct carcinoma of the right breast. ...

2013-05-30T23:59:59.000Z

42

FINAL DEMAND FORECAST FORMS AND INSTRUCTIONS FOR THE 2007  

E-Print Network (OSTI)

CALIFORNIA ENERGY COMMISSION FINAL DEMAND FORECAST FORMS AND INSTRUCTIONS FOR THE 2007 INTEGRATED Table of Contents General Instructions for Demand Forecast Submittals.............................................................................. 4 Protocols for Submitted Demand Forecasts

43

Does increasing model stratospheric resolution improve5 extended-range forecast skill?6  

E-Print Network (OSTI)

1 1 2 3 4 Does increasing model stratospheric resolution improve5 extended-range forecast skill?6 7 The effect of stratospheric resolution on extended-range forecast skill at high latitudes2 in the Southern Hemisphere is explored. Ensemble forecasts are made for two model3 configurations that differ only

Birner, Thomas

44

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

45

RACORO Forecasting  

NLE Websites -- All DOE Office Websites (Extended Search)

Weather Briefings Observed Weather Cloud forecasting models BUFKIT forecast soundings + guidance from Norman NWS enhanced pages and discussions NAM-WRF updated...

46

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

SciTech Connect

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

47

Short-Term Load Forecasting by Feed-Forward Neural Networks Saied S. Sharif1  

E-Print Network (OSTI)

1 Sixth Northwest Conservation & Electric Power Plan Draft Wholesale Power Price Forecasts Maury Price Forecasts 4. Updated load-resource balance by zones\\ regions · Energy · Capacity 5. Impact. Updated transmission links between the modeled load-resource zones 3. Updated demand forecasts for each

Taylor, James H.

48

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.........................................

49

Forecasting Electric Vehicle Costs with Experience Curves  

E-Print Network (OSTI)

April, 5. R 2~1. Dino. "Forecasting the Price Evolution of 1ElectromcProducts," Ioumal of Forecasting, oL4, No I, 1985.costs and a set of forecasting tools that can be refined as

Lipman, Timonthy E.; Sperling, Daniel

2001-01-01T23:59:59.000Z

50

Probabilistic Verification of Monthly Temperature Forecasts  

Science Conference Proceedings (OSTI)

Monthly forecasting bridges the gap between medium-range weather forecasting and seasonal predictions. While such forecasts in the prediction range of 14 weeks are vital to many applications in the context of weather and climate risk management, ...

Andreas P. Weigel; Daniel Baggenstos; Mark A. Liniger; Frdric Vitart; Christof Appenzeller

2008-12-01T23:59:59.000Z

51

Forecasting Forecast Skill  

Science Conference Proceedings (OSTI)

We have shown that it is possible to predict the skill of numerical weather forecastsa quantity which is variable from day to day and region to region. This has been accomplished using as predictor the dispersion (measured by the average ...

Eugenia Kalnay; Amnon Dalcher

1987-02-01T23:59:59.000Z

52

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

53

Forecast Combinations  

E-Print Network (OSTI)

Forecast combinations have frequently been found in empirical studies to produce better forecasts on average than methods based on the ex-ante best individual forecasting model. Moreover, simple combinations that ignore correlations between forecast errors often dominate more refined combination schemes aimed at estimating the theoretically optimal combination weights. In this chapter we analyze theoretically the factors that determine the advantages from combining forecasts (for example, the degree of correlation between forecast errors and the relative size of the individual models forecast error variances). Although the reasons for the success of simple combination schemes are poorly understood, we discuss several possibilities related to model misspecification, instability (non-stationarities) and estimation error in situations where thenumbersofmodelsislargerelativetothe available sample size. We discuss the role of combinations under asymmetric loss and consider combinations of point, interval and probability forecasts. Key words: Forecast combinations; pooling and trimming; shrinkage methods; model misspecification, diversification gains

Allan Timmermann; Jel Codes C

2006-01-01T23:59:59.000Z

54

3D Convective Storm Identification, Tracking, and ForecastingAn Enhanced TITAN Algorithm  

Science Conference Proceedings (OSTI)

Storm identification, tracking, and forecasting make up an essential part of weather radar and severe weather surveillance operations. Existing nowcasting algorithms using radar data can be generally classified into two categories: centroid and ...

Lei Han; Shengxue Fu; Lifeng Zhao; Yongguang Zheng; Hongqing Wang; Yinjing Lin

2009-04-01T23:59:59.000Z

55

Expert Panel: Forecast Future Demand for Medical Isotopes  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

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...........................................................................................

56

Forecasting overview  

E-Print Network (OSTI)

Forecasting is required in many situations: deciding whether to build another power generation plant in the next five years requires forecasts of future demand; scheduling staff in a call centre next week requires forecasts of call volume; stocking an inventory requires forecasts of stock requirements. Forecasts can be required several years in advance (for the case of capital investments), or only a few minutes beforehand (for telecommunication routing). Whatever the circumstances or time horizons involved, forecasting is an important aid in effective and efficient planning. Some things are easier to forecast than others. The time of the sunrise tomorrow morning can be forecast very precisely. On the other hand, currency exchange rates are very difficult to forecast with any accuracy. The predictability of an event or a quantity depends on how well we understand the factors that contribute to it, and how much unexplained variability is involved. Forecasting situations vary widely in their time horizons, factors determining actual outcomes, types of data patterns, and many other aspects. Forecasting methods can be very simple such as using the most recent observation as a forecast (which is called the nave method), or highly complex such as neural nets and econometric systems of simultaneous equations. The

Rob J Hyndman

2009-01-01T23:59:59.000Z

57

A Short-Range Forecasting Experiment Conducted during the Canadian Atlantic Storms Program  

Science Conference Proceedings (OSTI)

During the Canadian Atlantic Storms Program (CASP), a dedicated forecast center conducted experiments in mesoscale forecasting. Several forecast products, including a marine forecast and a site-specific public forecast, were written every 3 h. ...

K. A. Macdonald; M. Danks; J. D. Abraham

1988-06-01T23:59:59.000Z

58

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

59

FINANCIAL FORECASTING USING GENETIC ALGORITHMS  

E-Print Network (OSTI)

predecessors to forecast stock prices and manage portfolios for approximately 3 years.) We examineFINANCIAL FORECASTING USING GENETIC ALGORITHMS SAM MAHFOUD and GANESH MANI LBS Capital Management entitled Genetic Algorithms for Inductive Learning). Time-series forecasting is a special type

Boetticher, Gary D.

60

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

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

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

62

An Examination of WRF 3DVAR Radar Data Assimilation on Its Capability in Retrieving Unobserved Variables and Forecasting Precipitation through Observing System Simulation Experiments  

Science Conference Proceedings (OSTI)

The purpose of this study is to investigate the performance of 3DVAR radar data assimilation in terms of the retrievals of convective fields and their impact on subsequent quantitative precipitation forecasts (QPFs). An assimilation methodology ...

Soichiro Sugimoto; N. Andrew Crook; Juanzhen Sun; Qingnong Xiao; Dale M. Barker

2009-11-01T23:59:59.000Z

63

Beamline 1.4.3  

NLE Websites -- All DOE Office Websites (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

64

Beamline 1.4.3  

NLE Websites -- All DOE Office Websites (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

65

Beamline 1.4.3  

NLE Websites -- All DOE Office Websites (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

66

Beamline 1.4.3  

NLE Websites -- All DOE Office Websites (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

67

Beamline 1.4.3  

NLE Websites -- All DOE Office Websites (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

68

Beamline 1.4.3  

NLE Websites -- All DOE Office Websites (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

69

Beamline 1.4.3  

NLE Websites -- All DOE Office Websites (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

70

Using reforecasts for probabilistic forecast calibration  

E-Print Network (OSTI)

1 Using reforecasts for probabilistic forecast calibration Tom Hamill NOAA Earth System Research that is currently operational. #12;3 Why compute reforecasts? · For many forecast problems, such as long-lead forecasts or high-precipitation events, a few past forecasts may be insufficient for calibrating

Hamill, Tom

71

Impact of the Environmental Low-Level Wind Profile on Ensemble Forecasts of the 4 May 2007 Greensburg, Kansas, Tornadic Storm and Associated Mesocyclones  

Science Conference Proceedings (OSTI)

The early tornadic phase of the Greensburg, Kansas, supercell on the evening of 4 May 2007 is simulated using a set of storm-scale (1-km horizontal grid spacing) 30-member ensemble Kalman filter (EnKF) data assimilation and forecast experiments. ...

Daniel T. Dawson II; Louis J. Wicker; Edward R. Mansell; Robin L. Tanamachi

2012-02-01T23:59:59.000Z

72

The Impact of Advanced Nowcasting Systems on Severe Weather Warning during the Sydney 2000 Forecast Demonstration Project: 3 November 2000  

Science Conference Proceedings (OSTI)

One of the principal aims of the Sydney 2000 Forecast Demonstration Project was to assess the utility of advanced nowcasting systems to operational severe weather forecasters. This paper describes the application of the products of a variety of ...

Neil I. Fox; Rob Webb; John Bally; Michael W. Sleigh; Clive E. Pierce; David M. L. Sills; Paul I. Joe; James Wilson; Chris G. Collier

2004-02-01T23:59:59.000Z

73

COMPARISONS FOR RAMS MODELS (V3A, V4.3 AND V6.0)  

SciTech Connect

The Regional Atmospheric Modeling System (RAMS) is an atmospheric numerical model developed by scientists at Colorado State University and the ASTER Division of Mission Research Corporation for simulating and forecasting meteorological phenomena. RAMS v3a and v4.3 are being used by the Savannah River National Laboratory (SRNL) as an operational tool for weather forecast and emergency response for the Savannah River Site (SRS). ATmospheric, Meteorological, and Environmental Technologies (ATMET) is now the proprietor of RAMS. The latest upgrade (v6.0) was officially released on January 11, 2006. ATG plans to eventually replace the RAMS v3a and v4.3 with the RAMS v6.0 for operational site forecasting if the newest version provides a significant improvement in the numerical forecast. A study to compare the three model (v3a, v4.3 and v6.0) results with respect to surface stations observations was conducted and is the subject of this report. Two cases were selected for simulation by these three RAMS models. One simulation started at 0 Z on April 3, 2007 and represents a warm weather case (high temperature of 26 C and low temperature of 16 C) at SRS, while the other simulation started at 0 Z on April 7, 2007 and represents a cold weather case (high temperature of 9 C and low temperature of -1 C) at SRS. The wind speeds, wind directions, temperatures and the dew point temperatures predicted by the three RAMS models were interpolated to 46 surface observation locations. The interpolated results were compared with the observation data. Statistically, the differences between the three model results were very small. For the present configurations, the predictions from RAMS v6.0 are no better than the older models with the exception of wind direction. The proposed path forward would be to fine tune the RAMS v6.0 model input parameters to improve the predictions. This should also provide insights into current weaknesses in all RAMS versions.

Chen, K

2007-08-30T23:59:59.000Z

74

Sixth Northwest Conservation and Electric Power Plan Appendix C: Demand Forecast  

E-Print Network (OSTI)

Sixth Northwest Conservation and Electric Power Plan Appendix C: Demand Forecast Energy Demand................................................................................................................................. 1 Demand Forecast Methodology.................................................................................................. 3 New Demand Forecasting Model for the Sixth Plan

75

Sixth Northwest Conservation and Electric Power Plan Appendix A: Fuel Price Forecast  

E-Print Network (OSTI)

Sixth Northwest Conservation and Electric Power Plan Appendix A: Fuel Price Forecast Introduction................................................................................................................................. 3 Price Forecasts............................................................................................................................... 12 Oil Price Forecast Range

76

4-fluoroalkyl-3-halophenyl nortropanes  

DOE Patents (OSTI)

A series of compounds in the 4-fluoroalkyl-3-halophenyl nortropanes family are described as diagnostic and therapeutic agents for diseases associated with serotonin transporter dysfunction. These compounds bind to serotonin transporter protein with high affinity and selectivity. The invention provides methods of synthesis which incorporate radioisotopic halogens at a last step which permit high radiochemical yield and maximum usable product life. The radiolabeled compounds of the invention are useful as imaging agents for visualizing the location and density of serotonin transporter by PET and SPECT imaging.

Goodman, Mark M. (Atlanta, GA); Chen, Ping (Indianapolis, IN)

2002-06-04T23:59:59.000Z

77

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

E-Print Network (OSTI)

( ) 3 19 19 ( TEN) TEN 2011 2011 5000 3 19 ( ) #12;( ) ( ) ( ) #12;( ) EMBA11 3 20 TOYOTA 11 EMBA EMBA TOYOTA #12;1. 2. 3. 3 31 1. 3 26 2. 4 2 4 9 4 16 03-5715131 31369 03-5724872 kyhuang@mx.nthu.edu.tw 1. 4

Huang, Haimei

78

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

79

12-32021E2_Forecast  

NLE Websites -- All DOE Office Websites (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:

80

Forecast Technical Document Restocking in the Forecast  

E-Print Network (OSTI)

Forecast Technical Document Restocking in the Forecast A document describing how restocking of felled areas is handled in the 2011 Production Forecast. Tom Jenkins Robert Matthews Ewan Mackie Lesley in the forecast Background During the period of a production forecast it is assumed that, as forest sub

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

> BUREAU HOME > AUSTRALIA > QUEENSLAND > FORECASTS FORECAST IMPROVEMENTS  

E-Print Network (OSTI)

> BUREAU HOME > AUSTRALIA > QUEENSLAND > FORECASTS BRISBANE FORECAST IMPROVEMENTS The Bureau of Meteorology is progressively upgrading its forecast system to provide more detailed forecasts across Australia. From October 2013 new and improved 7 day forecasts will be introduced for Brisbane, Gold Coast

Greenslade, Diana

82

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

83

Another Approach to Forecasting Forecast Skill  

Science Conference Proceedings (OSTI)

The skill of a medium-range numerical forecast can fluctuate widely from day to day. Providing an a priori estimate of the skill of the forecast is therefore important. Existing approaches include Monte Carlo Forecasting and Lagged Average ...

W. Y. Chen

1989-02-01T23:59:59.000Z

84

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

85

FROM ANALYSTS ' EARNINGS FORECASTS  

E-Print Network (OSTI)

We examine the accuracy and bias of intrinsic equity prices estimated from three accounting-based valuation models using analysts earnings forecasts over a four-year horizon. The models are: (a) the earnings capitalization model, (b) the residual income model without a terminal value, and (c) the residual income model with a terminal value that assumes residual income will grow beyond the horizon at a constant rate determined from the expected residual income growth rate over the forecast horizon. Our analysis is based on valuation errors that are calculated by comparing estimated prices to actual prices. We contribute to the literature by examining whether: (i) the analysts earnings forecasts convey information about value beyond that conveyed by current earnings, book value and dividends, (ii) the use of firm specific growth rates in terminal value calculations results in more unbiased and accurate valuations than the use of constant growth rates, and (iii) different models perform better under different ex-ante conditions. We find that analysts earnings forecasts convey information about value beyond that conveyed by current earnings, book values and dividends. Each of the models that we used has valuation errors that decline monotonically as the horizon increases implying that earnings forecasts at each horizon convey new value relevant information. We cannot find a clear advantage to using firm specific growth rates instead of a constant rate of 4 % across all sample

Theodore Sougiannis; Takashi Yaekura

2000-01-01T23:59:59.000Z

86

Assimilation of Remote-sensing Soil Moisture in Short-term River Forecasting M. Pan1, E. F. Wood1, W. Crow2, J. Schaake3  

E-Print Network (OSTI)

Assimilation of Remote-sensing Soil Moisture in Short-term River Forecasting M. Pan1, E. F. Wood1 Hydrology and Remote Sensing Lab, US Department of Agriculture 3 National Weather Service, National Oceanic and Atmospheric Administration 1. Introduction This study focuses on evaluation of hydrologic remote sensing

Pan, Ming

87

6.4.3.6. Example of Triple Exponential Smoothing  

Science Conference Proceedings (OSTI)

... data with triple exponential forecasts, Actual Time Series with forecasts. Comparison of MSE's, Comparison of MSE's. MSE, demand, trend, seasonality ...

2012-03-31T23:59:59.000Z

88

The Usefulness of MSU3 Analyses as a Forecasting Aid: A Statistical Study  

Science Conference Proceedings (OSTI)

A statistical analysis is performed on a 6-month global dataset consisting of satellite-derived channel 3 Microwave Sounding Unit (MSU3) brightness temperature and various conventionally derived fields to quantify the potential usefulness of MSU3 ...

Paul A. Hirschberg; Matthew C. Parke; Carlyle H. Wash; Mark Mickelinc; Roy W. Spencer; Eric Thaler

1997-06-01T23:59:59.000Z

89

Wind Power Forecasting andWind Power Forecasting and Electricity Market Operations  

E-Print Network (OSTI)

Power Forecasting in Five U.S. Electricity Markets MISO NYISO PJM ERCOT CAISO Peak load 109,157 MW (7 ........................................................................................... 18 4 WIND POWER FORECASTING AND ELECTRICITY MARKET OPERATIONS............................................................ 18 4-1 Market Operation and Wind Power Forecasting in Five U.S. Electricity Markets .......... 21 #12

Kemner, Ken

90

Beamline 4.0.3  

NLE Websites -- All DOE Office Websites (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

91

Beamline 1.4.3  

NLE Websites -- All DOE Office Websites (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)

92

Beamline 4.0.3  

NLE Websites -- All DOE Office Websites (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

93

Beamline 4.0.3  

NLE Websites -- All DOE Office Websites (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

94

Beamline 4.0.3  

NLE Websites -- All DOE Office Websites (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

95

Beamline 1.4.3  

NLE Websites -- All DOE Office Websites (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)

96

Beamline 4.0.3  

NLE Websites -- All DOE Office Websites (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

97

Beamline 4.0.3  

NLE Websites -- All DOE Office Websites (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

98

Beamline 1.4.3  

NLE Websites -- All DOE Office Websites (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)

99

Beamline 1.4.3  

NLE Websites -- All DOE Office Websites (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)

100

Beamline 1.4.3  

NLE Websites -- All DOE Office Websites (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)

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

Beamline 4.0.3  

NLE Websites -- All DOE Office Websites (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

102

Beamline 1.4.3  

NLE Websites -- All DOE Office Websites (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)

103

Beamline 4.0.3  

NLE Websites -- All DOE Office Websites (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

104

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

105

Load forecast and treatment of conservation  

E-Print Network (OSTI)

Load forecast and treatment of conservation July 28th 2010 Resource Adequacy Technical Committee conservation is implicitly incorporated in the short-term demand forecast? #12;3 Incorporating conservation in the short-term model Our short-term model is an econometric model which can not explicitly forecast

106

Development and testing of improved statistical wind power forecasting methods.  

DOE Green Energy (OSTI)

Wind power forecasting (WPF) provides important inputs to power system operators and electricity market participants. It is therefore not surprising that WPF has attracted increasing interest within the electric power industry. In this report, we document our research on improving statistical WPF algorithms for point, uncertainty, and ramp forecasting. Below, we provide a brief introduction to the research presented in the following chapters. For a detailed overview of the state-of-the-art in wind power forecasting, we refer to [1]. Our related work on the application of WPF in operational decisions is documented in [2]. Point forecasts of wind power are highly dependent on the training criteria used in the statistical algorithms that are used to convert weather forecasts and observational data to a power forecast. In Chapter 2, we explore the application of information theoretic learning (ITL) as opposed to the classical minimum square error (MSE) criterion for point forecasting. In contrast to the MSE criterion, ITL criteria do not assume a Gaussian distribution of the forecasting errors. We investigate to what extent ITL criteria yield better results. In addition, we analyze time-adaptive training algorithms and how they enable WPF algorithms to cope with non-stationary data and, thus, to adapt to new situations without requiring additional offline training of the model. We test the new point forecasting algorithms on two wind farms located in the U.S. Midwest. Although there have been advancements in deterministic WPF, a single-valued forecast cannot provide information on the dispersion of observations around the predicted value. We argue that it is essential to generate, together with (or as an alternative to) point forecasts, a representation of the wind power uncertainty. Wind power uncertainty representation can take the form of probabilistic forecasts (e.g., probability density function, quantiles), risk indices (e.g., prediction risk index) or scenarios (with spatial and/or temporal dependence). Statistical approaches to uncertainty forecasting basically consist of estimating the uncertainty based on observed forecasting errors. Quantile regression (QR) is currently a commonly used approach in uncertainty forecasting. In Chapter 3, we propose new statistical approaches to the uncertainty estimation problem by employing kernel density forecast (KDF) methods. We use two estimators in both offline and time-adaptive modes, namely, the Nadaraya-Watson (NW) and Quantilecopula (QC) estimators. We conduct detailed tests of the new approaches using QR as a benchmark. One of the major issues in wind power generation are sudden and large changes of wind power output over a short period of time, namely ramping events. In Chapter 4, we perform a comparative study of existing definitions and methodologies for ramp forecasting. We also introduce a new probabilistic method for ramp event detection. The method starts with a stochastic algorithm that generates wind power scenarios, which are passed through a high-pass filter for ramp detection and estimation of the likelihood of ramp events to happen. The report is organized as follows: Chapter 2 presents the results of the application of ITL training criteria to deterministic WPF; Chapter 3 reports the study on probabilistic WPF, including new contributions to wind power uncertainty forecasting; Chapter 4 presents a new method to predict and visualize ramp events, comparing it with state-of-the-art methodologies; Chapter 5 briefly summarizes the main findings and contributions of this report.

Mendes, J.; Bessa, R.J.; Keko, H.; Sumaili, J.; Miranda, V.; Ferreira, C.; Gama, J.; Botterud, A.; Zhou, Z.; Wang, J. (Decision and Information Sciences); (INESC Porto)

2011-12-06T23:59:59.000Z

107

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

108

Simulations of Arctic Mixed-Phase Clouds in Forecasts with CAM3 and AM2 for M-PACE  

SciTech Connect

Simulations of mixed-phase clouds in short-range forecasts with the National Center for Atmospheric Research Community Atmosphere Model version 3 (CAM3) and the Geophysical Fluid Dynamics Laboratory (GFDL) climate model (AM2) for the Mixed-Phase Arctic Cloud Experiment (M-PACE) are performed under the DOE CCPP-ARM Parameterization Testbed (CAPT), which initializes the climate models with analysis data produced from numerical weather prediction (NWP) centers. It is shown that CAM3 significantly underestimates the observed boundary layer mixed-phase clouds and cannot realistically simulate the variations with temperature and cloud height of liquid water fraction in the total cloud condensate based an oversimplified cloud microphysical scheme. In contrast, AM2 reasonably reproduces the observed boundary layer clouds while its clouds contain much less cloud condensate than CAM3 and the observations. Both models underestimate the observed cloud top and base for the boundary layer clouds. The simulation of the boundary layer mixed-phase clouds and their microphysical properties is considerably improved in CAM3 when a new physically based cloud microphysical scheme is used. The new scheme also leads to an improved simulation of the surface and top of the atmosphere longwave radiative fluxes in CAM3. It is shown that the Bergeron-Findeisen process, i.e., the ice crystal growth by vapor deposition at the expense of coexisting liquid water, is important for the models to correctly simulate the characteristics of the observed microphysical properties in mixed-phase clouds. Sensitivity tests show that these results are not sensitive to the analysis data used for model initializations. Increasing model horizontal resolution helps capture the subgrid-scale features in Arctic frontal clouds but does not help improve the simulation of the single-layer boundary layer clouds. Ice crystal number density has large impact on the model simulated mixed-phase clouds and their microphysical properties and needs to be accurately represented in climate models.

Xie, Shaocheng; Boyle, James; Klein, Stephen A.; Liu, Xiaohong; Ghan, Steven J.

2008-02-29T23:59:59.000Z

109

The Forecast Gap: Linking Forwards and Forecasts  

Science Conference Proceedings (OSTI)

This report addresses a common problem in price forecasting: What to do when confronted with a persistent gap between results obtained from a structural forecast model and actual forward or spot prices? The report examines examples taken from natural gas and electric power forecasts and presents a novel approach to closing this forecast gap. Inspection reveals that the ratio of actual prices to forecast prices often exhibits stochastic movements that resemble those of commodity price movements. By usin...

2008-12-15T23:59:59.000Z

110

Evaluation of a cloud scale lightning data assimilation technique and a 3DVAR method for the analysis and short-term forecast of the 29 June 2012 derecho event  

Science Conference Proceedings (OSTI)

This work evaluates the short-term forecast (? 6-h) of the 29-30 June 2012 derecho event from the Weather Research and Forecast (WRF) ARW model when using two distinct data assimilation techniques at cloud resolving scales (3-km horizontal grid). ...

Alexandre O. Fierro; Jidong Gao; Conrad L. Ziegler; Edward R. Mansell; Donald R. Macgorman; Scott R. Dembek

111

Update On The Wholesale Electricity Price Forecast & Modeling Results  

E-Print Network (OSTI)

Forecast Base Case includes § Medium Demand Forecast § Medium Natural Gas Price Forecast § Federal CO2 Rathdrum Power LLC-ID 4) CO2 Emissions - 2009 Selected Natural Gas Plants Plant level, emission percentage § Significantly lower electricity prices than 6th Plan Forecast, due to lower demand, lower gas prices, deferred

112

Reliable Probabilistic Quantitative Precipitation Forecasts from a Short-Range Ensemble Forecasting System  

Science Conference Proceedings (OSTI)

A simple binning technique is developed to produce reliable 3-h probabilistic quantitative precipitation forecasts (PQPFs) from the National Centers for Environmental Prediction (NCEP) multimodel short-range ensemble forecasting system obtained ...

David J. Stensrud; Nusrat Yussouf

2007-02-01T23:59:59.000Z

113

Comparing limited-area 3DVAR and hybrid variational-ensemble data assimilation methods for typhoon track forecasts: Sensitivity to outer loops and vortex relocation  

Science Conference Proceedings (OSTI)

The Weather Research and Forecasting (WRF) models hybrid variational-ensemble data assimilation (DA) algorithm was used to initialize WRF model forecasts of three tropical cyclones (TCs). The hybrid-initialized forecasts were compared to ...

Craig S. Schwartz; Zhiquan Liu; Xiang-Yu Huang; Ying-Hwa Kuo; Chin-Tzu Fong

114

Sensitivity Analysis of a 3D Convective Storm: Implications for Variational Data Assimilation and Forecast Error  

Science Conference Proceedings (OSTI)

In this study a nonhydrostatic 3D cloud model, along with an automatic differentiation tool, is used to investigate the sensitivity of a supercell storm to prescribed errors (perturbations) in the water vapor field. The evolution of individual ...

Seon Ki Park; Kelvin K. Droegemeier

2000-01-01T23:59:59.000Z

115

An Overview of Environmental Conditions and Forecast Implications of the 3 May 1999 Tornado Outbreak  

Science Conference Proceedings (OSTI)

An overview of conditions associated with the OklahomaKansas tornado outbreak of 3 May 1999 is presented, with emphasis on the evolution of environmental and supercellular characteristics most relevant to the prediction of violent tornado ...

Richard L. Thompson; Roger Edwards

2000-12-01T23:59:59.000Z

116

2.3.4.7. Humidity standards  

Science Conference Proceedings (OSTI)

... 2.3.4.7. Humidity standards. ... The designs shown in this catalog are drift-eliminating and may be suitable for artifacts other than humidity cylinders. ...

2012-03-31T23:59:59.000Z

117

Forecasting ENSO Events: A Neural NetworkExtended EOF Approach  

Science Conference Proceedings (OSTI)

The authors constructed neural network models to forecast the sea surface temperature anomalies (SSTA) for three regions: Nio 4, Nio 3.5, and Nio 3, representing the western-central, the central, and the eastern-central parts of the equatorial ...

Fredolin T. Tangang; Benyang Tang; Adam H. Monahan; William W. Hsieh

1998-01-01T23:59:59.000Z

118

Extension of 3DVAR to 4DVAR: Implementation of 4DVAR at the Meteorological Service of Canada  

Science Conference Proceedings (OSTI)

On 15 March 2005, the Meteorological Service of Canada (MSC) proceeded to the implementation of a four-dimensional variational data assimilation (4DVAR) system, which led to significant improvements in the quality of global forecasts. This paper ...

Pierre Gauthier; Monique Tanguay; Stphane Laroche; Simon Pellerin; Jose Morneau

2007-06-01T23:59:59.000Z

119

Forecasting in Meteorology  

Science Conference Proceedings (OSTI)

Public weather forecasting heralded the beginning of modern meteorology less than 150 years ago. Since then, meteorology has been largely a forecasting discipline. Thus, forecasting could have easily been used to test and develop hypotheses, ...

C. S. Ramage

1993-10-01T23:59:59.000Z

120

Forecasting Cloud Cover and Atmospheric Seeing for Astronomical Observing: Application and Evaluation of the Global Forecast System  

E-Print Network (OSTI)

To explore the issue of performing a non-interactive numerical weather forecast with an operational global model in assist of astronomical observing, we use the Xu-Randall cloud scheme and the Trinquet-Vernin AXP seeing model with the global numerical output from the Global Forecast System to generate 3-72h forecasts for cloud coverage and atmospheric seeing, and compare them with sequence observations from 9 sites from different regions of the world with different climatic background in the period of January 2008 to December 2009. The evaluation shows that the proportion of prefect forecast of cloud cover forecast varies from ~50% to ~85%. The probability of cloud detection is estimated to be around ~30% to ~90%, while the false alarm rate is generally moderate and is much lower than the probability of detection in most cases. The seeing forecast has a moderate mean difference (absolute mean difference <0.3" in most cases) and root-mean-square-error or RMSE (0.2"-0.4" in most cases) comparing with the obs...

Ye, Q -z

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.


121

Forecasting of mine price for central Appalachian steam coal  

SciTech Connect

In reaction to Virginia's declining share of the steam coal market and the subsequent depression in southwest Virginia's economy, an optimization model of the central Appalachian steam coal market was developed. The input to the cost vector was the delivered cost of coal, which is comprised of the mine price (FOB) and transportation cost. One objective of the study was to develop a purchasing model that could be used to minimize the cost of coal procurement over a multi-period time span. The initial case study used a six-month period (7/86-12/86); this requires short-term, forecasts of the mine price of coal. Mine-cost equations and regression models were found to be inadequate for forecasting the mine price of coal. Instead forecasts were generated using modified time series models. This paper describes the application of classical time-series modeling to forecasting the mine price of coal in central Appalachia; in particular, the special modification to the classical methodology needed to generate short-term forecasts and their confidence limits and the need to take into account market-specific considerations such as the split between long-term contracts and the spot market. Special consideration is given to forecasting the spot market. 7 references, 4 figures, 3 tables.

Smith, M.L.

1988-01-01T23:59:59.000Z

122

3.4 Timeline Zoomable Window  

NLE Websites -- All DOE Office Websites (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

123

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":""}]}

124

Technology data characterizing lighting in commercial buildings: Application to end-use forecasting with commend 4.0  

SciTech Connect

End-use forecasting models typically utilize technology tradeoff curves to represent technology options available to consumers. A tradeoff curve, in general terms, is a functional form which relates efficiency to capital cost. Each end-use is modeled by a single tradeoff curve. This type of representation is satisfactory in the analysis of many policy options. On the other hand, for policies addressing individual technology options or groups of technology options, because individual technology options are accessible to the analyst, representation in such reduced form is not satisfactory. To address this and other analysis needs, the Electric Power Research Institute (EPRI) has enhanced its Commercial End-Use Planning System (COMMEND) to allow modeling of specific lighting and space conditioning (HVAC) technology options. This report characterizes the present commercial floorstock in terms of lighting technologies and develops cost-efficiency data for these lighting technologies. This report also characterizes the interactions between the lighting and space conditioning end uses in commercial buildings in the US In general, lighting energy reductions increase the heating and decrease the cooling requirements. The net change in a building`s energy requirements, however, depends on the building characteristics, operating conditions, and the climate. Lighting/HVAC interactions data were generated through computer simulations using the DOE-2 building energy analysis program.

Sezgen, A.O.; Huang, Y.J.; Atkinson, B.A.; Eto, J.H.; Koomey, J.G.

1994-05-01T23:59:59.000Z

125

Forecasts, Meteorology Services, Environmental Sciences Department  

NLE Websites -- All DOE Office Websites (Extended Search)

Forecasts Short Term Forecast Suffolk County Northern Nassau Southern Nassau Area Forecast Discussion - OKX Area Forecast Discussion - NYS Area Forecast Discussion Mount Holly Area...

126

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.

127

Decision support for financial forecasting  

SciTech Connect

A primary mission of the Budget Management Division of the Air Force is fiscal analysis. This involves formulating, justifying, and tracking financial data during budget preparation and execution. An essential requirement of this process is the ready availability and easy manipulation of past and current budget data. This necessitates the decentralization of the data. A prototypical system, BAFS (Budget Analysis and Forecasting System), that provides such a capability is presented. In its current state, the system is designed to be a decision support tool. A brief report of the budget decisions and activities is presented. The system structure and its major components are discussed. An insight into the implementation strategies and the tool used is provided. The paper concludes with a discussion of future enhancements and the system's evolution into an expert system. 4 refs., 3 figs.

Jairam, B.N.; Morris, J.D.; Emrich, M.L.; Hardee, H.K.

1988-10-01T23:59:59.000Z

128

Dark Energy with w>-4/3  

E-Print Network (OSTI)

Acceleration of the universe might be driven by a continuous elastic medium -- elastic dark energy (Bucher and Spergel 1999). Elastic dark energy can stably support equations of state with pressure to energy ratio w > -4/3. Stable expansion with wenergy'' leads to exotic possibilities such as Expanding Cyclic Universe -- an ever-expanding universe with periodically repeating inflationary epochs.

Andrei Gruzinov

2004-05-05T23:59:59.000Z

129

Radar Data Assimilation with WRF 4D-Var. Part II: Comparison with 3D-Var for a Squall Line over the U.S. Great Plains  

Science Conference Proceedings (OSTI)

The Weather Research and Forecasting Model (WRF) four-dimensional variational data assimilation (4D-Var) system described in Part I of this study is compared with its corresponding three-dimensional variational data assimilation (3D-Var) system ...

Juanzhen Sun; Hongli Wang

2013-07-01T23:59:59.000Z

130

Energy conservation and official UK energy forecasts  

SciTech Connect

Behind the latest United Kingdom (UK) official forecasts of energy demand are implicit assumptions about future energy-price elasticities. Mr. Pearce examines the basis of the forecasts and finds that the long-term energy-price elasticities that they imply are two or three times too low. The official forecasts substantially understate the responsiveness of demand to energy price rises. If more-realistic price elasticities were assumed, the official forecasts would imply a zero primary energy-demand growth to 2000. This raises the interesting possibility of a low energy future being brought about entirely by market forces. 15 references, 3 tables.

Pearce, D.

1980-09-01T23:59:59.000Z

131

Threshold Relative Humidity Duration Forecasts for Plant Disease Prediction  

Science Conference Proceedings (OSTI)

Duration of high relative humidity periods is an important component of many plant disease development models. Performance of forecasts of this quantity, based on the model output statistics 3-h temperature and dewpoint forecasts produced by the ...

Daniel S. Wilks; Karin W. Shen

1991-04-01T23:59:59.000Z

132

Factors Influencing Skill Improvements in the ECMWF Forecasting System  

Science Conference Proceedings (OSTI)

During the past 30 years the skill in ECMWF numerical forecasts has steadily improved. There are three major contributing factors: 1) improvements in the forecast model, 2) improvements in the data assimilation, and 3) the increased number of ...

Linus Magnusson; Erland Klln

2013-09-01T23:59:59.000Z

133

Performance of MC2 and the ECMWF IFS forecast model on the Fujitsu VPP700 and NEC SX-4M  

Science Conference Proceedings (OSTI)

The NEC SX-4M cluster and Fujitsu VPP700 supercomputers are both based on custom vector processors using low-power CMOS technology. Their basic architectures and programming models are however somewhat different. A multi-node SX-4M cluster contains up ...

Michel Desgagn\\'e; Stephen Thomas; Stephen Thomas Michel Valin

2000-01-01T23:59:59.000Z

134

Verifying Forecasts Spatially  

Science Conference Proceedings (OSTI)

Numerous new methods have been proposed for using spatial information to better quantify and diagnose forecast performance when forecasts and observations are both available on the same grid. The majority of the new spatial verification methods can be ...

Eric Gilleland; David A. Ahijevych; Barbara G. Brown; Elizabeth E. Ebert

2010-10-01T23:59:59.000Z

135

Forecasting of Supercooled Clouds  

Science Conference Proceedings (OSTI)

Using parameterizations of cloud microphysics, a technique to forecast supercooled cloud events is suggested. This technique can be coupled on the mesoscale with a prognostic equation for cloud water to improve aircraft icing forecasts. The ...

Andr Tremblay; Anna Glazer; Wanda Szyrmer; George Isaac; Isztar Zawadzki

1995-07-01T23:59:59.000Z

136

Time Series and Forecasting  

Science Conference Proceedings (OSTI)

Time Series and Forecasting. Leigh, Stefan and Perlman, S. (1991). "An Index for Comovement of Time Sequences With ...

137

The 45 December 2001 IMPROVE-2 Event: Observed Microphysics and Comparisons with the Weather Research and Forecasting Model  

Science Conference Proceedings (OSTI)

This paper highlights the observed and simulated microphysical evolution of a moderate orographic rainfall event over the central Oregon Cascade Range during 45 December 2001 of the Second Improvement of Microphysical Parameterization through ...

Yanluan Lin; Brian A. Colle

2009-04-01T23:59:59.000Z

138

WP1: Targeted and informative forecast system design  

E-Print Network (OSTI)

WP1: Targeted and informative forecast system design Emma Suckling, Leonard A. Smith and David Stainforth EQUIP Meeting ­ August 2011 Edinburgh #12;Targeted and informative forecast system design Develop models to support decision making (1.4) #12;Targeted and informative forecast system design KEY QUESTIONS

Stevenson, Paul

139

Forecast Technical Document Volume Increment  

E-Print Network (OSTI)

Forecast Technical Document Volume Increment Forecasts A document describing how volume increment is handled in the 2011 Production Forecast. Tom Jenkins Robert Matthews Ewan Mackie Lesley Halsall #12;PF2011 ­ Volume increment forecasts Background A volume increment forecast is a fundamental output of the forecast

140

NatioNal aNd Global Forecasts West VirGiNia ProFiles aNd Forecasts  

E-Print Network (OSTI)

· NatioNal aNd Global Forecasts · West VirGiNia ProFiles aNd Forecasts · eNerGy · Healt;#12;Copyright ©2012 by WVU Research Corporation Unless otherwise noted, data used for this forecast is from IHS Population 2 GlOBAl OUTlOOk 3 Current Trends 3 Forecast 6 UNITED STATES OUTlOOk 9 Global and United States

Mohaghegh, Shahab

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

Microsoft Word - 3.4.docx  

NLE Websites -- All DOE Office Websites (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

142

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

143

Sensitivity of Global Ensemble Forecasts to the Initial Ensemble Mean and Perturbations: Comparison of EnKF, Singular Vector, and 4D-Var Approaches  

Science Conference Proceedings (OSTI)

This study examines the sensitivity of global ensemble forecasts to the use of different approaches for specifying both the initial ensemble mean and perturbations. The current operational ensemble prediction system of the Meteorological Service ...

Mark Buehner; Ahmed Mahidjiba

2010-10-01T23:59:59.000Z

144

Forecasting project progress and early warning of project overruns with probabilistic methods  

E-Print Network (OSTI)

Forecasting is a critical component of project management. Project managers must be able to make reliable predictions about the final duration and cost of projects starting from project inception. Such predictions need to be revised and compared with the projects objectives to obtain early warnings against potential problems. Therefore, the effectiveness of project controls relies on the capability of project managers to make reliable forecasts in a timely manner. This dissertation focuses on forecasting project schedule progress with probabilistic methods. Currently available methods, for example, the critical path method (CPM) and earned value management (EVM) are deterministic and fail to account for the inherent uncertainty in forecasting and project performance. The objective of this dissertation is to improve the predictive capabilities of project managers by developing probabilistic forecasting methods that integrate all relevant information and uncertainties into consistent forecasts in a mathematically sound procedure usable in practice. In this dissertation, two probabilistic methods, the Kalman filter forecasting method (KFFM) and the Bayesian adaptive forecasting method (BAFM), were developed. The KFFM and the BAFM have the following advantages over the conventional methods: (1) They are probabilistic methods that provide prediction bounds on predictions; (2) They are integrative methods that make better use of the prior performance information available from standard construction management practices and theories; and (3) They provide a systematic way of incorporating measurement errors into forecasting. The accuracy and early warning capacity of the KFFM and the BAFM were also evaluated and compared against the CPM and a state-of-the-art EVM schedule forecasting method. Major conclusions from this research are: (1) The state-of-the-art EVM schedule forecasting method can be used to obtain reliable warnings only after the project performance has stabilized; (2) The CPM is not capable of providing early warnings due to its retrospective nature; (3) The KFFM and the BAFM can and should be used to forecast progress and to obtain reliable early warnings of all projects; and (4) The early warning capacity of forecasting methods should be evaluated and compared in terms of the timeliness and reliability of warning in the context of formal early warning systems.

Kim, Byung Cheol

2007-12-01T23:59:59.000Z

145

Forecasting project progress and early warning of project overruns with probabilistic methods  

E-Print Network (OSTI)

Forecasting is a critical component of project management. Project managers must be able to make reliable predictions about the final duration and cost of projects starting from project inception. Such predictions need to be revised and compared with the project's objectives to obtain early warnings against potential problems. Therefore, the effectiveness of project controls relies on the capability of project managers to make reliable forecasts in a timely manner. This dissertation focuses on forecasting project schedule progress with probabilistic methods. Currently available methods, for example, the critical path method (CPM) and earned value management (EVM) are deterministic and fail to account for the inherent uncertainty in forecasting and project performance. The objective of this dissertation is to improve the predictive capabilities of project managers by developing probabilistic forecasting methods that integrate all relevant information and uncertainties into consistent forecasts in a mathematically sound procedure usable in practice. In this dissertation, two probabilistic methods, the Kalman filter forecasting method (KFFM) and the Bayesian adaptive forecasting method (BAFM), were developed. The KFFM and the BAFM have the following advantages over the conventional methods: (1) They are probabilistic methods that provide prediction bounds on predictions; (2) They are integrative methods that make better use of the prior performance information available from standard construction management practices and theories; and (3) They provide a systematic way of incorporating measurement errors into forecasting. The accuracy and early warning capacity of the KFFM and the BAFM were also evaluated and compared against the CPM and a state-of-the-art EVM schedule forecasting method. Major conclusions from this research are: (1) The state-of-the-art EVM schedule forecasting method can be used to obtain reliable warnings only after the project performance has stabilized; (2) The CPM is not capable of providing early warnings due to its retrospective nature; (3) The KFFM and the BAFM can and should be used to forecast progress and to obtain reliable early warnings of all projects; and (4) The early warning capacity of forecasting methods should be evaluated and compared in terms of the timeliness and reliability of warning in the context of formal early warning systems.

Kim, Byung Cheol

2007-12-01T23:59:59.000Z

146

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

147

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.

148

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

SciTech Connect

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

149

The Strategy of Professional Forecasting  

E-Print Network (OSTI)

This paper develops and compares two theories of strategic behavior of professional forecasters. The first theory posits that forecasters compete in a forecasting contest with pre-specified rules. In equilibrium of a winner-take-all contest, forecasts are excessively differentiated. According to the alternative reputational cheap talk theory, forecasters aim at convincing the market that they are well informed. The market evaluates their forecasting talent on the basis of the forecasts and the realized state. If the market expects forecaster honesty, forecasts are shaded toward the prior mean. With correct market expectations, equilibrium forecasts are imprecise but not shaded.

Marco Ottaviani; Peter Norman Srensen

2003-01-01T23:59:59.000Z

150

Using Neural Networks to Forecast Stock Market Prices Ramon Lawrence  

E-Print Network (OSTI)

Using Neural Networks to Forecast Stock Market Prices Ramon Lawrence Department of Computer Science on the application of neural networks in forecasting stock market prices. With their ability to discover patterns. Section 3 covers current analytical and computer methods used to forecast stock market prices

Lawrence, Ramon

151

Distribution Based Data Filtering for Financial Time Series Forecasting  

E-Print Network (OSTI)

of stock prices, which aims to forecast the future values of the price of a stock, in order to obtain/selling strategies to gain competitive advantage. Classic and popular methods for stock price forecasting [3Distribution Based Data Filtering for Financial Time Series Forecasting Goce Ristanoski1 , James

Bailey, James

152

Use of Multiple Verification Methods to Evaluate Forecasts of Convection from Hot- and Cold-Start Convection-Allowing Models  

Science Conference Proceedings (OSTI)

This study uses both traditional and newer verification methods to evaluate two 4-km grid-spacing Weather Research and Forecasting Model (WRF) forecasts: a cold start forecast that uses the 12-km North American Mesoscale Model (NAM) analysis and ...

Derek R. Stratman; Michael C. Coniglio; Steven E. Koch; Ming Xue

2013-02-01T23:59:59.000Z

153

Business forecasting methods  

E-Print Network (OSTI)

Forecasting is a common statistical task in business, where it helps inform decisions about scheduling of production, transportation and personnel, and provides a guide to long-term strategic planning. However, business forecasting is often done poorly and is frequently confused with planning and goals. They are three different things. Forecasting is about predicting the future as accurately as possible, given all the information available including historical data and knowledge of any future events that might impact the forecasts. Goals are what you would like to happen. Goals should be linked to forecasts and plans, but this does not always occur. Too often, goals are set without any plan for how to achieve them, and no forecasts for whether they are realistic. Planning is a response to forecasts and goals. Planning involves determining the appropriate actions that are required to make your forecasts match your goals. Forecasting should be an integral part of the decision-making activities of management, as it can play an important role in many areas of a company. Modern organizations require short-, medium- and long-term forecasts, depending on the specific application.

Rob J Hyndman

2009-01-01T23:59:59.000Z

154

ENSEMBLE RE-FORECASTING : IMPROVING MEDIUM-RANGE FORECAST SKILL  

E-Print Network (OSTI)

5.5 ENSEMBLE RE-FORECASTING : IMPROVING MEDIUM-RANGE FORECAST SKILL USING RETROSPECTIVE FORECASTS, Colorado 1. INTRODUCTION Improving weather forecasts is a primary goal of the U.S. National Oceanic predictions has been to improve the accuracy of the numerical forecast models. Much effort has been expended

Hamill, Tom

155

Alternative Fuel News Volume 4 No 3  

NLE Websites -- All DOE Office Websites (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

156

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

157

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

158

EXTENDED RANGE FORECAST OF ATLANTIC SEASONAL HURRICANE ACTIVITY AND LANDFALL STRIKE PROBABILITY FOR 2012  

E-Print Network (OSTI)

EXTENDED RANGE FORECAST OF ATLANTIC SEASONAL HURRICANE ACTIVITY AND LANDFALL STRIKE PROBABILITY activity is predicted. (as of 4 April 2012) By Philip J. Klotzbach1 and William M. Gray2 This forecast as well as past forecasts and verifications are available via the World Wide Web at http://hurricane.atmos.colostate.edu/Forecasts

159

ORNL integrated forecasting system  

SciTech Connect

This paper describes the integrated system for forecasting electric energy and load. In the system, service area models of electrical energy (kWh) and load distribution (minimum and maximum loads and load duration curve) are linked to a state-level model of electrical energy (kWh). Thus, the service area forecasts are conditional upon the state-level forecasts. Such a linkage reduces considerably the data requirements for modeling service area electricity demand.

Rizy, C.G.

1983-01-01T23:59:59.000Z

160

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.

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

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

162

Solar forecasting review  

E-Print Network (OSTI)

Online 24-h solar power forecasting based on weather typeweather observations at blue hill massachusetts, Solarof weather patterns on the intensity of solar irradiance;

Inman, Richard Headen

2012-01-01T23:59:59.000Z

163

forecast | OpenEI  

Open Energy Info (EERE)

Browse Upload data GDR Community Login | Sign Up Search Facebook icon Twitter icon forecast Dataset Summary Description The EIA's annual energy outlook (AEO) contains yearly...

164

Seasonal tropical cyclone forecasts  

E-Print Network (OSTI)

Seasonal forecasts of tropical cyclone activity in various regions have been developed since the first attempts in the early 1980s by Neville

Suzana J. Camargo; Anthony G. Barnston; Philip J. Klotzbach; Christopher W. Landsea

2007-01-01T23:59:59.000Z

165

Probabilistic Forecasts from the National Digital Forecast Database  

Science Conference Proceedings (OSTI)

The Bayesian processor of forecast (BPF) is developed for a continuous predictand. Its purpose is to process a deterministic forecast (a point estimate of the predictand) into a probabilistic forecast (a distribution function, a density function, ...

Roman Krzysztofowicz; W. Britt Evans

2008-04-01T23:59:59.000Z

166

Exploiting Weather Forecast Information in the Operation of ...  

E-Print Network (OSTI)

Mar 4, 2009 ... On-Line Economic Optimization of Energy Systems Using Weather Forecast Information. Victor M Zavala (vzavala ***at*** mcs.anl.gov)

167

Medium- and Long-Range Forecasting  

Science Conference Proceedings (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

168

An Objective Basis for Forecasting Tornado Intensity  

Science Conference Proceedings (OSTI)

Although violent tornadoes comprise only 2.3% of tornado occurrences in the United States, they cause 68% of the fatalities attributed to tornadoes and severe thunderstorms. Despite these statistics, no attempt is made to forecast or warn of ...

J. R. Colquhoun; D. J. Shepherd

1989-03-01T23:59:59.000Z

169

Maintaining the Role of Humans in the Forecast Process: Analyzing the Psyche of Expert Forecasters  

Science Conference Proceedings (OSTI)

The Second Forum on the Future Role of the Human in the Forecast Process occurred on 23 August 2005 at the American Meteorological Society's Weather Analysis and Forecasting Conference in Washington, D.C. The forum consisted of three sessions. ...

Neil A. Stuart; David M. Schultz; Gary Klein

2007-12-01T23:59:59.000Z

170

Global and Local Skill Forecasts  

Science Conference Proceedings (OSTI)

A skill forecast gives the probability distribution for the error in a forecast. Statistically, Well-founded skill forecasting methods have so far only been applied within the context of simple models. In this paper, the growth of analysis errors ...

P. L. Houtekamer

1993-06-01T23:59:59.000Z

171

Distortion Representation of Forecast Errors  

Science Conference Proceedings (OSTI)

Forecast error is decomposed into three components, termed displacement error, amplitude error, mid residual error, respectively. Displacement error measures how much of the forecast error can be accounted for by moving the forecast to best fit ...

Ross N. Hoffman; Zheng Liu; Jean-Francois Louis; Christopher Grassoti

1995-09-01T23:59:59.000Z

172

Composite forecasting in commodity systems  

E-Print Network (OSTI)

Paper No. COMPOSI1E FORECASTING IN CO/Yt.flDITI SYSTfu\\1S1980 .i CfIAPTER COMPOSITE FORECASTING IN COMMOOITY SYSTEMS*to utilizeeconometric .modelsfor forecasting ! ,urposes. The

Johnson, Stanley R; Rausser, Gordon C.

1980-01-01T23:59:59.000Z

173

Arnold Schwarzenegger INTEGRATED FORECAST AND  

E-Print Network (OSTI)

Arnold Schwarzenegger Governor INTEGRATED FORECAST AND RESERVOIR MANAGEMENT (INFORM) FOR NORTHERN; the former with primary contributions in the areas of climate and hydrologic forecasting and the latter Service (NWS) California Nevada River Forecast Center (CNRFC), the California Department of Water

174

CONSULTANT REPORT DEMAND FORECAST EXPERT  

E-Print Network (OSTI)

CONSULTANT REPORT DEMAND FORECAST EXPERT PANEL INITIAL forecast, end-use demand modeling, econometric modeling, hybrid demand modeling, energyMahon, Carl Linvill 2012. Demand Forecast Expert Panel Initial Assessment. California Energy

175

Does the term structure forecast  

E-Print Network (OSTI)

provides more accurate forecasts of real consumption growth14. Harvey, C.R. (1989): \\Forecasts of economic growth fromC.R. (1993): \\Term structure forecasts economic growth", Fi-

Berardi, Andrea; Torous, Walter

2002-01-01T23:59:59.000Z

176

Regional load-curve models: QUERI's model long-run forecasts and sensitivity analysis. Volume 4. Final report. [Hourly demand in 32 US regions  

SciTech Connect

This report presents detailed forecasts of the hourly demand for electricity in 32 regions of the US through the year 2000. The forecasts are generated by a load curve model estimated by QUERI and described in Volume II of this report. Two primary sets of input assumptions for this model are utilized: one based on DRI's macro, regional and sectoral models is called the Baseline Scenario while the other, which is a projection of historical trends, is the Extrapolation Scenario. Under both assumptions, the growth rates of electricity are forecast to slow from historical levels. Load factors are generally projected to continue to decline; most regions are forecast to remain Summer peaking but this is rather sensitive to the choice of scenario. By considering other scenarios which are small perturbations of the Baseline assumptions, elasticities of average, peak and hourly loads are calculated. Different weather assumptions are also examined for the sensitivity of the load shapes to changes in the weather.

Engle, R.F.; Granger, C.W.J.; Ramanathan, R.

1981-09-01T23:59:59.000Z

177

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

SciTech Connect

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

178

Coefficients for Debiasing Forecasts  

Science Conference Proceedings (OSTI)

Skill-score decompositions can be used to analyze the effects of bias on forecasting skill. However, since bias terms are typically squared, and bias is measured in skill-score units rather than in units of the forecasts, such decompositions only ...

Thomas R. Stewart; Patricia Reagan-Cirincione

1991-08-01T23:59:59.000Z

179

Evaluating Point Forecasts  

E-Print Network (OSTI)

Typically, point forecasting methods are compared and assessed by means of an error measure or scoring function, such as the absolute error or the squared error. The individual scores are then averaged over forecast cases, to result in a summary measure of the predictive performance, such as the mean absolute error or the (root) mean squared error. I demonstrate that this common practice can lead to grossly misguided inferences, unless the scoring function and the forecasting task are carefully matched. Effective point forecasting requires that the scoring function be specified ex ante, or that the forecaster receives a directive in the form of a statistical functional, such as the mean or a quantile of the predictive distribution. If the scoring function is specified ex ante, the forecaster can issue the optimal point forecast, namely, the Bayes rule. If the forecaster receives a directive in the form of a functional, it is critical that the scoring function be consistent for it, in the sense that the expect...

Gneiting, Tilmann

2009-01-01T23:59:59.000Z

180

Forecasters Objectives and Strategies ?  

E-Print Network (OSTI)

This chapter develops a unified modeling framework for analyzing the strategic behavior of forecasters. The theoretical model encompasses reputational objectives, competition for the best accuracy, and bias. Also drawing from the extensive literature on analysts, we review the empirical evidence on strategic forecasting and illustrate how our model can be structurally estimated.

Ivn Marinovic; Marco Ottaviani; Peter Norman Srensen

2011-01-01T23:59:59.000Z

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

A New Verification Score for Public Forecasts  

Science Conference Proceedings (OSTI)

CREF, a new verification score for public forecasts, is introduced. This verification score rewards a forecaster who forecasts a rare event accurately. CREF was used to verify local forecasts at the Weather Service Forecast Office (WSFO) in ...

Dean P. Gulezian

1981-02-01T23:59:59.000Z

182

ELECTRICITY APPENDIX D-4  

E-Print Network (OSTI)

.4 3.4 3.4 3.3 3.3 3.2 3.2 3.2 3.1 3.1 3.0 3.0 2.9 2.9 2.9 2.8 2.7 Industrial Sector Electricity Bill.92 Industrial coking 25.29 0.99 25.55 Other industrial 25.35 0.99 25.61 electric utility 25.48 0.99 25ELECTRICITY APPENDIX D-4 DETAILED RESULTS APPENDIX D #12;Electricity Sector Forecast Summary Page 1

183

Why are survey forecasts superior to model forecasts?  

E-Print Network (OSTI)

We investigate two characteristics of survey forecasts that are shown to contribute to their superiority over purely model-based forecasts. These are that the consensus forecasts incorporate the effects of perceived changes in the long-run outlook, as well as embodying departures from the path toward the long-run expectation. Both characteristics on average tend to enhance forecast accuracy. At the level of the individual forecasts, there is scant evidence that the second characteristic enhances forecast accuracy, and the average accuracy of the individual forecasts can be improved by applying a mechanical correction.

Michael P. Clements; Michael P. Clements

2010-01-01T23:59:59.000Z

184

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

185

GSI 3DVar-based Ensemble-Variational Hybrid Data Assimilation for NCEP Global Forecast System: Single Resolution Experiments  

Science Conference Proceedings (OSTI)

An ensemble Kalman filter-variational hybrid data assimilation system based on the grid point statistical interpolation (GSI) three dimensional variational (3DVar) system was developed. The performance of the system was investigated using the ...

Xuguang Wang; David Parrish; Daryl Kleist; Jeffrey Whitaker

186

Warning Decision Making: The Relative Roles of Conceptual Models, Technology, Strategy, and Forecaster Expertise on 3 May 1999  

Science Conference Proceedings (OSTI)

This paper examines concepts related to warning decision making for the 3 May 1999 tornado outbreak in central Oklahoma. Sixty-six tornadoes occurred during this outbreak, with 58 occurring in the Norman, Oklahoma, National Weather Service ...

David L. Andra Jr.; Elizabeth M. Quoetone; William F. Bunting

2002-06-01T23:59:59.000Z

187

LOAD FORECASTING Eugene A. Feinberg  

E-Print Network (OSTI)

's electricity price forecasting model, produces forecast of gas demand consistent with electric load. #12Gas demand Council's Market Price of Electricity Forecast Natural GasDemand Electric Load Aggregating Natural between the natural gas and electricity and new uses of natural gas emerge. T natural gas forecasts

Feinberg, Eugene A.

188

Demand Forecast INTRODUCTION AND SUMMARY  

E-Print Network (OSTI)

Demand Forecast INTRODUCTION AND SUMMARY A 20-year forecast of electricity demand is a required of any forecast of electricity demand and developing ways to reduce the risk of planning errors that could arise from this and other uncertainties in the planning process. Electricity demand is forecast

189

Factors Driving Prices & Forecast  

Gasoline and Diesel Fuel Update (EIA)

This spread is a function of the balance between demand and fresh supply (production and net imports). Finally I will discuss the current forecast for distillate prices this winter...

190

Modeling and Forecasting Aurora  

Science Conference Proceedings (OSTI)

Modeling the physical processes needed for forecasting space-weather events requires multiscale modeling. This article discusses several modelsresearchers use to treat the various auroral processes that influence space weather.

Dirk Lummerzheim

2007-01-01T23:59:59.000Z

191

Valuing Climate Forecast Information  

Science Conference Proceedings (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

192

Monthly Weather Forecasts in a Pest Forecasting Context: Downscaling, Recalibration, and Skill Improvement  

Science Conference Proceedings (OSTI)

Monthly weather forecasts (MOFCs) were shown to have skill in extratropical continental regions for lead times up to 3 weeks, in particular for temperature and if weekly averaged. This skill could be exploited in practical applications for ...

Martin Hirschi; Christoph Spirig; Andreas P. Weigel; Pierluigi Calanca; Jrg Samietz; Mathias W. Rotach

2012-09-01T23:59:59.000Z

193

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

194

Evaluation of the IRI'S Net Assessment Seasonal Climate Forecasts: 19972001  

Science Conference Proceedings (OSTI)

The International Research Institute for Climate Prediction (IRI) net assessment seasonal temperature and precipitation forecasts are evaluated for the 4-yr period from OctoberDecember 1997 to OctoberDecember 2001. These probabilistic forecasts ...

L. Goddard; A. G. Barnston; S. J. Mason

2003-12-01T23:59:59.000Z

195

HP Angle Light 4x3 Blue  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

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.

196

ORNL trip (3/25~4/1)  

NLE Websites -- All DOE Office Websites (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,

197

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

198

Forecasting in the Presence of Level Shifts  

E-Print Network (OSTI)

accuracy. Journal of Forecasting 19 : 537-560. Hamilton JD.430. Harvey AC. 1989. Forecasting, structural time seriesMH, Timmermann A. 1994. Forecasting stock returns: An

Smith, Aaron

2004-01-01T23:59:59.000Z

199

Multivariate Forecast Evaluation And Rationality Testing  

E-Print Network (OSTI)

10621088. MULTIVARIATE FORECASTS Chaudhuri, P. (1996): OnKingdom. MULTIVARIATE FORECASTS Kirchgssner, G. , and U. K.2005): Estimation and Testing of Forecast Rationality under

Komunjer, Ivana; OWYANG, MICHAEL

2007-01-01T23:59:59.000Z

200

Value of Probabilistic Weather Forecasts: Assessment by Real-Time Optimization of Irrigation Scheduling  

SciTech Connect

This paper presents a modeling framework for real-time decision support for irrigation scheduling using the National Oceanic and Atmospheric Administration's (NOAA's) probabilistic rainfall forecasts. The forecasts and their probability distributions are incorporated into a simulation-optimization modeling framework. In this study, modeling irrigation is determined by a stochastic optimization program based on the simulated soil moisture and crop water-stress status and the forecasted rainfall for the next 1-7 days. The modeling framework is applied to irrigated corn in Mason County, Illinois. It is found that there is ample potential to improve current farmers practices by simply using the proposed simulation-optimization framework, which uses the present soil moisture and crop evapotranspiration information even without any forecasts. It is found that the values of the forecasts vary across dry, normal, and wet years. More significant economic gains are found in normal and wet years than in dry years under the various forecast horizons. To mitigate drought effect on crop yield through irrigation, medium- or long-term climate predictions likely play a more important role than short-term forecasts. NOAA's imperfect 1-week forecast is still valuable in terms of both profit gain and water saving. Compared with the no-rain forecast case, the short-term imperfect forecasts could lead to additional 2.4-8.5% gain in profit and 11.0-26.9% water saving. However, the performance of the imperfect forecast is only slightly better than the ensemble weather forecast based on historical data and slightly inferior to the perfect forecast. It seems that the 1-week forecast horizon is too limited to evaluate the role of the various forecast scenarios for irrigation scheduling, which is actually a seasonal decision issue. For irrigation scheduling, both the forecast quality and the length of forecast time horizon matter. Thus, longer forecasts might be necessary to evaluate the role of forecasts for irrigation scheduling in a more effective way.

Cai, Ximing; Hejazi, Mohamad I.; Wang, Dingbao

2011-09-29T23:59:59.000Z

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.


201

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

202

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

203

286 IEEE TRANSACTIONS ON SMART GRID, VOL. 1, NO. 3, DECEMBER 2010 Short-Term Load Forecast of Microgrids by a New  

E-Print Network (OSTI)

of Microgrids by a New Bilevel Prediction Strategy Nima Amjady, Senior Member, IEEE, Farshid Keynia, Member, IEEE, and Hamidreza Zareipour, Senior Member, IEEE Abstract--Microgrids are a rapidly growing sector. In the operation of a microgrid, forecasting the short-term load is an important task. With a more accurate short

204

Table 4-3 Site Wide Environmental Management Matrix  

NLE Websites -- All DOE Office Websites (Extended Search)

Site-Wide Environmental Assessment of Table 4-3. Site-Wide Environmental Management Matrix National Renewable Energy Laboratory's South Table Mountain Complex FINAL POTENTIAL...

205

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

206

Table 3.4 Petroleum Stocks (Million Barrels)  

U.S. Energy Information Administration (EIA)

U.S. Energy Information Administration / Monthly Energy Review October 2013 47 Table 3.4 Petroleum Stocks (Million Barrels) Crude Oila Distillate

207

Air Quality Forecasts in the Mid-Atlantic Region: Current Practice and Benchmark Skill  

Science Conference Proceedings (OSTI)

Air quality forecasts for the mid-Atlantic region (including the metropolitan areas of Baltimore, Washington, D.C., and Philadelphia) began in 1992. These forecasts were issued to the public beginning in 1995 and predict daily peak O3 ...

William F. Ryan; Charles A. Piety; Eric D. Luebehusen

2000-02-01T23:59:59.000Z

208

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

209

CALIFORNIA ENERGY DEMAND 20142024 REVISED FORECAST  

E-Print Network (OSTI)

CALIFORNIA ENERGY DEMAND 20142024 REVISED FORECAST Volume 2: Electricity Demand Robert P. Oglesby Executive Director #12;i ACKNOWLEDGEMENTS The demand forecast is the combined prepared the commercial sector forecast. Mehrzad Soltani Nia helped prepare the industrial forecast

210

Specification, estimation, and forecasts of industrial demand and price of electricity  

Science Conference Proceedings (OSTI)

This paper discusses the specification of electricity-demand and price equations for manufacturing industries and presents empirical results based on the data for 16 Standard Industrial Classification (SIC) three-digit industries from 1959 to 1976. Performances of estimated equations are evaluated by sample-period simulation tests. The estimated coefficients are then used to forecast electricity demand by industry. Results show that most of the estimated coefficients have expected signs and are statistically significant. The estimated equations perform well in terms of sample-period simulation tests, registering small mean absolute percentage errors and mean square percentage errors for most of the industries studied. Forecasted results indicate that total electricity demand by manufacturing industries would grow at an average annual rate of 3.53% according to the baseline forecast, 2.39% in the high-price scenario, and 4.76% in the low-price scenario. The forecasted growth rates vary substantially among industries. The results also indicate that the price of electricity would continue to grow at a faster rate than the general price level in the forecasted period 1977 to 1990. 19 references, 6 tables.

Chang, H.S. (Univ. of Tennessee, Knoxville); Chern, W.S.

1981-01-01T23:59:59.000Z

211

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

212

A methodology for forecasting carbon dioxide flooding performance  

E-Print Network (OSTI)

A methodology was developed for forecasting carbon dioxide (CO2) flooding performance quickly and reliably. The feasibility of carbon dioxide flooding in the Dollarhide Clearfork "AB" Unit was evaluated using the methodology. This technique is very helpful when time and data resources are limited. The methodology consists of five tasks: 1) select a section of the reservoir with the most detailed geologic, reservoir, and production data, 2) perform material balance analysis for the selected section to determine 001? and the history of total expansion, voidage, and injectage, 3) establish an average 5-spot pattern within the selected section, 4) develop a black oil numerical simulation model for a quarter of the 5-spot pattern and simulate the primary and waterflood recovery processes, and 5) forecast carbon dioxide performance using Shell's Scoping model, Texaco's "PROPHET" model, and VIP miscible simulator. One of the major limitations of the methodology is that details of individual well performance and reservoir pressure and fluid saturation distributions in the project area are not available. Therefore, the forecast is limited to the average pattern and to the reservoir as a whole. Results of the Dollarhide Clearfork simulation study show that 9.7 % to 14.1 % of OOIP may be recovered by C02 flood in the selected section. It would require WAG injection cycles with a total fluid injection of 0.831 HCPV.

Marroquin Cabrera, Juan Carlos

1998-01-01T23:59:59.000Z

213

Consensus Coal Production Forecast for  

E-Print Network (OSTI)

Consensus Coal Production Forecast for West Virginia 2009-2030 Prepared for the West Virginia Summary 1 Recent Developments 2 Consensus Coal Production Forecast for West Virginia 10 Risks References 27 #12;W.Va. Consensus Coal Forecast Update 2009 iii List of Tables 1. W.Va. Coal Production

Mohaghegh, Shahab

214

ENERGY DEMAND FORECAST METHODS REPORT  

E-Print Network (OSTI)

CALIFORNIA ENERGY COMMISSION ENERGY DEMAND FORECAST METHODS REPORT Companion Report to the California Energy Demand 2006-2016 Staff Energy Demand Forecast Report STAFFREPORT June 2005 CEC-400 .......................................................................................................................................1-1 ENERGY DEMAND FORECASTING AT THE CALIFORNIA ENERGY COMMISSION: AN OVERVIEW

215

Forecast Technical Document Technical Glossary  

E-Print Network (OSTI)

Forecast Technical Document Technical Glossary A document defining some of the terms used in the 2011 Production Forecast technical documentation. Tom Jenkins Robert Matthews Ewan Mackie Lesley in the Forecast documentation. In some cases, the terms and the descriptions are "industry standard", in others

216

Forecast Technical Document Tree Species  

E-Print Network (OSTI)

Forecast Technical Document Tree Species A document listing the tree species included in the 2011 Production Forecast Tom Jenkins Justin Gilbert Ewan Mackie Robert Matthews #12;PF2011 ­ List of tree species The following is the list of species used within the Forecast System. Species are ordered alphabetically

217

Long-Lead Seasonal ForecastsWhere Do We Stand?  

Science Conference Proceedings (OSTI)

The National Weather Service intends to begin routinely issuing long-lead forecasts of 3-month mean U.S. temperature and precipitation by the beginning of 1995. The ability to produce useful forecasts for certain seasons and regions at projection ...

Anthony G. Barnston; Huug M. van den Dool; David R. Rodenhuis; Chester R. Ropelewski; Vernon E. Kousky; Edward A. O'Lenic; Robert E. Livezey; Stephen E. Zebiak; Mark A. Cane; Tim P. Barnett; Nicholas E. Graham; Ming Ji; Ants Leetmaa

1994-11-01T23:59:59.000Z

218

Data:774c1c10-6af4-4ab3-b4e3-8cb58ee3628d | Open Energy Information  

Open Energy Info (EERE)

kWh << Previous 1 2 3 Next >> Retrieved from "http:en.openei.orgwindex.php?titleData:774c1c10-6af4-4ab3-b4e3-8cb58ee3628d&oldid633995" Category: Utility Rates What links...

219

Data:6640743e-3b4e-4af1-a21f-4c3abbb26646 | Open Energy Information  

Open Energy Info (EERE)

kWh << Previous 1 2 3 Next >> Retrieved from "http:en.openei.orgwindex.php?titleData:6640743e-3b4e-4af1-a21f-4c3abbb26646&oldid661618" Category: Utility Rates What links...

220

Forecast of auroral activity  

Science Conference Proceedings (OSTI)

A new technique is developed to predict auroral activity based on a sample of over 9000 auroral sites identified in global auroral images obtained by an ultraviolet imager on the NASA Polar satellite during a 6-month period. Four attributes of auroral activity sites are utilized in forecasting

A. T. Y. Lui

2004-01-01T23:59:59.000Z

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.


221

Coal supply/demand, 1980 to 2000. Task 3. Resource applications industrialization system data base. Final review draft. [USA; forecasting 1980 to 2000; sector and regional analysis  

SciTech Connect

This report is a compilation of data and forecasts resulting from an analysis of the coal market and the factors influencing supply and demand. The analyses performed for the forecasts were made on an end-use-sector basis. The sectors analyzed are electric utility, industry demand for steam coal, industry demand for metallurgical coal, residential/commercial, coal demand for synfuel production, and exports. The purpose is to provide coal production and consumption forecasts that can be used to perform detailed, railroad company-specific coal transportation analyses. To make the data applicable for the subsequent transportation analyses, the forecasts have been made for each end-use sector on a regional basis. The supply regions are: Appalachia, East Interior, West Interior and Gulf, Northern Great Plains, and Mountain. The demand regions are the same as the nine Census Bureau regions. Coal production and consumption in the United States are projected to increase dramatically in the next 20 years due to increasing requirements for energy and the unavailability of other sources of energy to supply a substantial portion of this increase. Coal comprises 85 percent of the US recoverable fossil energy reserves and could be mined to supply the increasing energy demands of the US. The NTPSC study found that the additional traffic demands by 1985 may be met by the railways by the way of improved signalization, shorter block sections, centralized traffic control, and other modernization methods without providing for heavy line capacity works. But by 2000 the incremental traffic on some of the major corridors was projected to increase very significantly and is likely to call for special line capacity works involving heavy investment.

Fournier, W.M.; Hasson, V.

1980-10-10T23:59:59.000Z

222

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.

223

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

224

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,

225

Air-Conditioning Effect Estimation for Mid-Term Forecasts of Tunisian Electricity Consumption  

E-Print Network (OSTI)

: Engineering-industry, secondary: Econometrics. 1 Introduction The electric power mid-term loads forecasting: Estimated annual temperature sensitive electricity load components 3 Mid-term load forecasting StatisticalAir-Conditioning Effect Estimation for Mid-Term Forecasts of Tunisian Electricity Consumption

Paris-Sud XI, Université de

226

EXTENDED RANGE FORECAST OF ATLANTIC SEASONAL HURRICANE ACTIVITY AND LANDFALL STRIKE PROBABILITY FOR 2013  

E-Print Network (OSTI)

EXTENDED RANGE FORECAST OF ATLANTIC SEASONAL HURRICANE ACTIVITY AND LANDFALL STRIKE PROBABILITY-average forecast, we are calling for an above-average probability of United States and Caribbean major hurricane landfall. (as of 3 June 2013) By Philip J. Klotzbach1 and William M. Gray2 This forecast as well as past

227

Concepts of medium-range (13 days) geomagnetic forecasting Hans Gleisner *, Jurgen Watermann  

E-Print Network (OSTI)

Concepts of medium-range (1­3 days) geomagnetic forecasting Hans Gleisner *, Ju¨rgen Watermann to geomagnetic forecasting. In this report from an ongoing study within the ESA Space Weather Appli- cations of geomagnetic activity forecasts hours to days ahead. Observations of eruptive events on the Sun are nowadays

Gleisner, Hans

228

Analysis and Forecasting of the Low-Level Wind during the Sydney 2000 Forecast Demonstration Project  

Science Conference Proceedings (OSTI)

During the Sydney 2000 Forecast Demonstration Project (FDP) a four-dimensional variational assimilation (4DVAR) scheme was run to analyze the low-level wind field with high spatial and temporal resolution. The 4DVAR scheme finds an optimal fit to ...

N. Andrew Crook; Juanzhen Sun

2004-02-01T23:59:59.000Z

229

On the Ionization Energies of C4H3 Isomers  

DOE Green Energy (OSTI)

We have conducted a combined experimental and theoretical study on the formation of distinct isomers of resonantly stabilized free radicals, C4H3, which are important intermediates in the formation of polycyclic aromatic hydrocarbons in combustion flames and possibly in the interstellar medium. Our study utilized laser ablation of graphite in combination with seeding the ablated species in neat methylacetylene gas which also acted as a reagent. Photoionization efficiency (PIE) curves were recorded of the C4H3 isomers at the Advanced Light Source from 8.0 to 10.3 eV. The experimental PIE curve was compared with theoretical ones suggesting the formation of four C4H3 radicals: two acyclic structures i-C4H3 [1] and E/Z-n-C4H3 [2E/2Z]and two cyclic isomers 3 and 4. These molecules are likely formed via an initial addition of ground state carbon atoms to the carbon-carbon triple bond of the methylacetylene molecule followed by isomerization via hydrogen migrations and ring opening and emission of atomic hydrogen from these intermediates.

Kaiser, Ralf I.; Mebel, Alexander; Kostko, Oleg; Ahmed, Musahid

2009-09-16T23:59:59.000Z

230

NETL: News Release - Energy Department Announces Nearly $4.3...  

NLE Websites -- All DOE Office Websites (Extended Search)

in Grants to Michigan FERNDALE, MI - Acting Under Secretary of Energy David K. Garman today announced nearly 4.3 million in Department of Energy (DOE) grants to Michigan...

231

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

232

???? ???? ? ?? ?? !" $#!?% & ? ')(! ?01 $#3 2546?7 8?)4) ? 9 ? % ?0@ ??  

E-Print Network (OSTI)

P1DSRUwn TU?. &. TV?? w1W`aEw? ''RVP??sW4 q6P. ? k)pQP`? W'w?W`agy q6uSTV?? TV?x .... ? & ~? ?'?g? ? &?z c@ Q 4c t67# a ?9#? ?32 a r#t6A 2u8? v# ? 3C.

233

Categorical Exclusion Determinations: B4.3 | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

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

234

U.S. Regional Demand Forecasts Using NEMS and GIS  

E-Print Network (OSTI)

h. Pacific i. MidAtlantic 4. Climate Zone shapefile a.must have a field with climate zone IDs as an integer in apopulation forecasts and climate zone data. The models

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

2005-01-01T23:59:59.000Z

235

The WGNE Assessment of Short-term Quantitative Precipitation Forecasts  

Science Conference Proceedings (OSTI)

Twenty-four-hour and 48-h quantitative precipitation forecasts (QPFs) from 11 operational numerical weather prediction models have been verified for a 4-yr period against rain gauge observations over the United States, Germany, and Australia to ...

Elizabeth E. Ebert; Ulrich Damrath; Werner Wergen; Michael E. Baldwin

2003-04-01T23:59:59.000Z

236

Forecasting Dangerous Inmate Misconduct: An Applications of Ensemble Statistical Procedures  

E-Print Network (OSTI)

Forecasting Dangerous Inmate Misconduct: An Applications ofidentify with useful forecasting skill the very few inmatescontribute substantially to forecasting skill necessarily

Berk, Richard; Kriegler, Brian; Baek, Jong-Ho

2005-01-01T23:59:59.000Z

237

Forecasting Dangerous Inmate Misconduct: An Applications of Ensemble Statistical Procedures  

E-Print Network (OSTI)

Forecasting Dangerous Inmate Misconduct: An Applications ofidentify with useful forecasting skill the very few inmatescontribute substantially to forecasting skill necessarily

Richard A. Berk; Brian Kriegler; Jong-Ho Baek

2011-01-01T23:59:59.000Z

238

Management Earnings Forecasts and Value of Analyst Forecast Revisions  

E-Print Network (OSTI)

Prior studies evaluate the relative importance of the sources of value that financial analysts bring to the market based on the price impact of forecast revisions over the event time. We find that management earnings forecasts influence the timing and precision of analyst forecasts. More importantly, evidence suggests that prior studies finding of weaker (stronger) stock-price responses to forecast revisions in the period immediately after (before) the prior-quarter earnings announcement is likely to be the artifact of a temporal pattern of management earnings forecasts over the event time. To the extent that management earnings forecasts are public disclosures, our results suggest that the relative importance of analysts ' information discovery role documented in prior studies is likely to be overstated.

Yongtae Kim; Minsup Song

2013-01-01T23:59:59.000Z

239

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.

240

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

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

EIS-0476: Vogtle Electric Generating Plant, Units 3 and 4  

Energy.gov (U.S. Department of Energy (DOE))

This EIS evaluates the environmental impacts of construction and startup of the proposed Units 3 and 4 at the Vogtle Electric Generating Plant in Burke County, Georgia. DOE adopted two Nuclear Regulatory Commission EISs associated with this project (i.e., NUREG-1872, issued 8/2008, and NUREG-1947, issued 3/2011).

242

Categorical Exclusion Determinations: B3.4 | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

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

243

SO3/H2SO4 Measurement Techniques and Instrumentation  

Science Conference Proceedings (OSTI)

Sulfur trioxide (SO3) is the principal condensable from coal-fired boilers. Measuring SO3 and its reaction product sulfuric acid (H2SO4), poses one of the more difficult challenges in emission measurement. Typically, when quantifying pollutants in flue gases, the pollutant is measured in a single phase, either as a gas, liquid or solid. The reaction of SO3 with water vapor to form gaseous H2SO4 is a dynamic process dependent upon the concentration of the reactants, flue gas temperature, and to a lesser e...

2008-12-16T23:59:59.000Z

244

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

E-Print Network (OSTI)

A Comparison of Precipitation Forecast Skill between Small Convection- Allowing and Large Submitted to Weather and Forecasting in October 2008, Accepted in January 2009 * Corresponding author precipitation forecasts from a 5-member, 4-km grid-spacing (ENS4) and a 15-member, 20-km grid-spacing (ENS20

Droegemeier, Kelvin K.

245

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

246

Chapter 11 Forecasting breaks and forecasting during breaks  

E-Print Network (OSTI)

Success in accurately forecasting breaks requires that they are predictable from relevant information available at the forecast origin using an appropriate model form, which can be selected and estimated before the break. To clarify the roles of these six necessary conditions, we distinguish between the information set for normal forces and the one for break drivers, then outline sources of potential information. Relevant non-linear, dynamic models facing multiple breaks can have more candidate variables than observations, so we discuss automatic model selection. As a failure to accurately forecast breaks remains likely, we augment our strategy by modelling breaks during their progress, and consider robust forecasting devices.

Jennifer L. Castle; Nicholas W. P. Fawcett; David F. Hendry

2011-01-01T23:59:59.000Z

247

Forecasting Uncertain Hotel Room Demand  

E-Print Network (OSTI)

Economic systems are characterized by increasing uncertainty in their dynamics. This increasing uncertainty is likely to incur bad decisions that can be costly in financial terms. This makes forecasting of uncertain economic variables an instrumental activity in any organization. This paper takes the hotel industry as a practical application of forecasting using the Holt-Winters method. The problem here is to forecast the uncertain demand for rooms at a hotel for each arrival day. Forecasting is part of hotel revenue management system whose objective is to maximize the revenue by making decisions regarding when to make rooms available for customers and at what price. The forecast approach discussed in this paper is based on quantitative models and does not incorporate management expertise. Even though, forecast results are found to be satisfactory for certain days, this is not the case for other arrival days. It is believed that human judgment is important when dealing with ...

Mihir Rajopadhye Mounir; Mounir Ben Ghaliay; Paul P. Wang; Timothy Baker; Craig V. Eister

2001-01-01T23:59:59.000Z

248

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.

249

Forecast Technical Document Growing Stock Volume  

E-Print Network (OSTI)

Forecast Technical Document Growing Stock Volume Forecasts A document describing how growing stock (`standing') volume is handled in the 2011 Production Forecast. Tom Jenkins Robert Matthews Ewan Mackie Lesley Halsall #12;PF2011 ­ Growing stock volume forecasts Background A forecast of standing volume (or

250

Construction Safety Forecast for ITER  

SciTech Connect

The International Thermonuclear Experimental Reactor (ITER) project is poised to begin its construction activity. This paper gives an estimate of construction safety as if the experiment was being built in the United States. This estimate of construction injuries and potential fatalities serves as a useful forecast of what can be expected for construction of such a major facility in any country. These data should be considered by the ITER International Team as it plans for safety during the construction phase. Based on average U.S. construction rates, ITER may expect a lost workday case rate of < 4.0 and a fatality count of 0.5 to 0.9 persons per year.

cadwallader, lee charles

2006-11-01T23:59:59.000Z

251

Anomalous high ionic conductivity of nanoporous -Li3PS4  

Science Conference Proceedings (OSTI)

Lithium-ion conducting solid electrolytes hold the promise for enabling high-energy battery chemistries and circumventing safety issues of conventional lithium batteries1-3. Achieving the combination of high ionic conductivity and broad electrochemical window in solid electrolytes is a grand challenge for the synthesis of battery materials. Herein we show an enhancement of room-temperature lithium-ion conductivity of 3 orders of magnitude by creating nanostructured Li3PS4. This material has a wide (5V) electrochemical window and superior chemical stability against lithium metal. The nanoporous structure of Li3PS4 reconciles two vital effects that enhance ionic conductivity: (1) The reduced dimension to nanometer-sized framework stabilizes the high conduction beta phase that occurs at elevated temperatures1,4; and (2) The high surface-to-bulk ratio of nanoporous -Li3PS4 promotes surface conduction5,6. Manipulating the ionic conductivity of solid electrolytes has far-reaching implications for materials design and synthesis in a broad range of applications such as batteries, fuel-cells, sensors, photovoltaic systems, and so forth3,7.

Liu, Zengcai [ORNL; Fu, Wujun [ORNL; Payzant, E Andrew [ORNL; Yu, Xiang [ORNL; Wu, Zili [ORNL; Dudney, Nancy J [ORNL; Kiggans, Jim [ORNL; Hong, Kunlun [ORNL; Rondinone, Adam Justin [ORNL; Liang, Chengdu [ORNL

2013-01-01T23:59:59.000Z

252

Aviation forecasting and systems analyses  

SciTech Connect

The 9 papers in this report deal with the following areas: method of allocating airport runway slots; method for forecasting general aviation activity; air traffic control network-planning model based on second-order Markov chains; analyzing ticket-choice decisions of air travelers; assessing the safety and risk of air traffic control systems: risk estimation from rare events; forecasts of aviation fuel consumption in Virginia; estimating the market share of international air carriers; forecasts of passenger and air-cargo activity at Logan International Airport; and forecasting method for general aviation aircraft and their activity.

Geisinger, K.E.; Brander, J.R.G.; Wilson, F.R.; Kohn, H.M.; Polhemus, N.W.

1980-01-01T23:59:59.000Z

253

Studies of inflation and forecasting.  

E-Print Network (OSTI)

??This dissertation contains five research papers in the area of applied econometrics. The two broad themes of the research are inflation and forecasting. The first (more)

Bermingham, Colin

2011-01-01T23:59:59.000Z

254

UWIG Forecasting Workshop -- Albany (Presentation)  

SciTech Connect

This presentation describes the importance of good forecasting for variable generation, the different approaches used by industry, and the importance of validated high-quality data.

Lew, D.

2011-04-01T23:59:59.000Z

255

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):

256

UNCERTAINTY IN THE GLOBAL FORECAST SYSTEM  

SciTech Connect

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

257

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):

258

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

NLE Websites -- All DOE Office Websites (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...

259

Description of the NMC Global Data Assimilation and Forecast System  

Science Conference Proceedings (OSTI)

The National Meteorological Center's (NMC) Global Data Assimilation and Forecast System is described in some detail. The system consists of 1) preprocessing of the initial guess, 2) optimum interpolation objective analysis, 3) update of the ...

Masao Kanamitsu

1989-09-01T23:59:59.000Z

260

Astrophysical S factors of radiative {sup 3}He{sup 4}He, {sup 3}H{sup 4}He, and {sup 2}H{sup 4}He capture  

Science Conference Proceedings (OSTI)

The possibility of describing the astrophysical S factors for radiative {sup 3}He{sup 4}He capture at energies of up to 15 keV and radiative {sup 3}H{sup 4}He and {sup 2}H{sup 4}He capture at energies of up 5 keV is considered on the basis of the potential cluster model involving forbidden states.

Dubovichenko, S. B., E-mail: sergey@dubovichenko.r [National Academy of Sciences of the Republic of Kazakstan, Fesenkov Astrophysical Institute (Kazakhstan)

2010-09-15T23:59:59.000Z

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.


261

Earthquake Forecast via Neutrino Tomography  

E-Print Network (OSTI)

We discuss the possibility of forecasting earthquakes by means of (anti)neutrino tomography. Antineutrinos emitted from reactors are used as a probe. As the antineutrinos traverse through a region prone to earthquakes, observable variations in the matter effect on the antineutrino oscillation would provide a tomography of the vicinity of the region. In this preliminary work, we adopt a simplified model for the geometrical profile and matter density in a fault zone. We calculate the survival probability of electron antineutrinos for cases without and with an anomalous accumulation of electrons which can be considered as a clear signal of the coming earthquake, at the geological region with a fault zone, and find that the variation may reach as much as 3% for $\\bar \

Bin Wang; Ya-Zheng Chen; Xue-Qian Li

2010-01-17T23:59:59.000Z

262

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.

263

Evaluating Density Forecasts: Forecast Combinations, Model Mixtures, Calibration and Sharpness  

E-Print Network (OSTI)

In a recent article Gneiting, Balabdaoui and Raftery (JRSSB, 2007) propose the criterion of sharpness for the evaluation of predictive distributions or density forecasts. They motivate their proposal by an example in which standard evaluation procedures based on probability integral transforms cannot distinguish between the ideal forecast and several competing forecasts. In this paper we show that their example has some unrealistic features from the perspective of the time-series forecasting literature, hence it is an insecure foundation for their argument that existing calibration procedures are inadequate in practice. We present an alternative, more realistic example in which relevant statistical methods, including information-based methods, provide the required discrimination between competing forecasts. We conclude that there is no need for a subsidiary criterion of sharpness.

James Mitchell; Kenneth F. Wallis

2008-01-01T23:59:59.000Z

264

On the Prediction of Forecast Skill  

Science Conference Proceedings (OSTI)

Using 10-day forecast 500 mb height data from the last 7 yr, the potential to predict the skill of numerical weather forecasts is discussed. Four possible predictor sets are described. The first, giving the consistency between adjacent forecasts, ...

T. N. Palmer; S. Tibaldi

1988-12-01T23:59:59.000Z

265

Equitable Skill Scores for Categorical Forecasts  

Science Conference Proceedings (OSTI)

Many skill scores used to evaluate categorical forecasts of discrete variables are inequitable, in the sense that constant forecasts of some events lead to better scores than constant forecasts of other events. Inequitable skill scores may ...

Lev S. Gandin; Allan H. Murphy

1992-02-01T23:59:59.000Z

266

Whither the Weather Analysis and Forecasting Process?  

Science Conference Proceedings (OSTI)

An argument is made that if human forecasters are to continue to maintain a skill advantage over steadily improving model and guidance forecasts, then ways have to be found to prevent the deterioration of forecaster skills through disuse. The ...

Lance F. Bosart

2003-06-01T23:59:59.000Z

267

Lagged Ensembles, Forecast Configuration, and Seasonal Predictions  

Science Conference Proceedings (OSTI)

An analysis of lagged ensemble seasonal forecasts from the National Centers for Environmental Prediction (NCEP) Climate Forecast System version 2 (CFSv2) is presented. The focus of the analysis is on the construction of lagged ensemble forecasts ...

Mingyue Chen; Wanqiu Wang; Arun Kumar

268

Improving Forecast Communication: Linguistic and Cultural Considerations  

Science Conference Proceedings (OSTI)

One goal of weather and climate forecasting is to inform decision making. Effective communication of forecasts to various sectors of the public is essential for meeting that goal, yet studies repeatedly show that forecasts are not well understood ...

Karen Pennesi

2007-07-01T23:59:59.000Z

269

Lagged Ensembles, Forecast Configuration, and Seasonal Predictions  

Science Conference Proceedings (OSTI)

An analysis of lagged ensemble seasonal forecasts from the National Centers for Environmental Prediction (NCEP) Climate Forecast System, version 2 (CFSv2), is presented. The focus of the analysis is on the construction of lagged ensemble forecasts ...

Mingyue Chen; Wanqiu Wang; Arun Kumar

2013-10-01T23:59:59.000Z

270

Evaluation of errors in national energy forecasts.  

E-Print Network (OSTI)

??Energy forecasts are widely used by the U.S. government, politicians, think tanks, and utility companies. While short-term forecasts were reasonably accurate, medium and long-range forecasts (more)

Sakva, Denys

2005-01-01T23:59:59.000Z

271

What Is the True Value of Forecasts?  

Science Conference Proceedings (OSTI)

Understanding the economic value of weather and climate forecasts is of tremendous practical importance. Traditional models that have attempted to gauge forecast value have focused on a best-case scenario, in which forecast users are assumed to ...

Antony Millner

2009-10-01T23:59:59.000Z

272

Diagnosing Forecast Errors in Tropical Cyclone Motion  

Science Conference Proceedings (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

273

CALIFORNIA ENERGY DEMAND 20122022 FINAL FORECAST  

E-Print Network (OSTI)

CALIFORNIA ENERGY DEMAND 20122022 FINAL FORECAST Volume 2: Electricity Demand.Oglesby Executive Director #12;i ACKNOWLEDGEMENTS The demand forecast is the combined product to the contributing authors listed previously, Mohsen Abrishami prepared the commercial sector forecast. Mehrzad

274

CALIFORNIA ENERGY DEMAND 20142024 FINAL FORECAST  

E-Print Network (OSTI)

CALIFORNIA ENERGY DEMAND 20142024 FINAL FORECAST Volume 2: Electricity Demand The demand forecast is the combined product of the hard work and expertise of numerous California Energy previously, Mohsen Abrishami prepared the commercial sector forecast. Mehrzad Soltani Nia helped prepare

275

A Forecast for the California Labor Market  

E-Print Network (OSTI)

issue for the state. A Forecast for the California Laborto Go? The UCLA Anderson Forecast for the Nation andAngeles: UCLA Anderson Forecast: Nation 1.1 1.9. Dhawan,

Mitchell, Daniel J. B.

2001-01-01T23:59:59.000Z

276

STAFF FORECAST OF 2007 PEAK STAFFREPORT  

E-Print Network (OSTI)

CALIFORNIA ENERGY COMMISSION STAFF FORECAST OF 2007 PEAK DEMAND STAFFREPORT June 2006 CEC-400.................................................................................. 9 Sources of Forecast Error....................................................................... .................11 Tables Table 1: Revised versus September 2005 Peak Demand Forecast ......................... 2

277

Operational Forecaster Uncertainty Needs and Future Roles  

Science Conference Proceedings (OSTI)

Key results of a comprehensive survey of U.S. National Weather Service operational forecast managers concerning the assessment and communication of forecast uncertainty are presented and discussed. The survey results revealed that forecasters are ...

David R. Novak; David R. Bright; Michael J. Brennan

2008-12-01T23:59:59.000Z

278

Calibration of Probabilistic Forecasts of Binary Events  

Science Conference Proceedings (OSTI)

Probabilistic forecasts of atmospheric variables are often given as relative frequencies obtained from ensembles of deterministic forecasts. The detrimental effects of imperfect models and initial conditions on the quality of such forecasts can ...

Cristina Primo; Christopher A. T. Ferro; Ian T. Jolliffe; David B. Stephenson

2009-03-01T23:59:59.000Z

279

CORPORATE GOVERNANCE AND MANAGEMENT EARNINGS FORECAST  

E-Print Network (OSTI)

1 CORPORATE GOVERNANCE AND MANAGEMENT EARNINGS FORECAST QUALITY: EVIDENCE FROM FRENCH IPOS Anis attributes, ownership retained, auditor quality, and underwriter reputation and management earnings forecast quality measured by management earnings forecast accuracy and bias. Using 117 French IPOs, we find

Paris-Sud XI, Université de

280

Forecasting women's apparel sales using mathematical  

E-Print Network (OSTI)

Forecasting women's apparel sales using mathematical modeling Celia Frank and Ashish Garg, USA Les Sztandera Philadelphia University, Philadelphia, PA, USA Keywords Apparel, Forecasting average (MA), auto- regression (AR), or combinations of them are used for forecasting sales. Since

Raheja, Amar

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

Calibration of Probabilistic Quantitative Precipitation Forecasts  

Science Conference Proceedings (OSTI)

From 1 August 1990 to 31 July 1995, the Weather Service Forecast Office in Pittsburgh prepared 6159 probabilistic quantitative precipitation forecasts. Forecasts were made twice a day for 24-h periods beginning at 0000 and 1200 UTC for two river ...

Roman Krzysztofowicz; Ashley A. Sigrest

1999-06-01T23:59:59.000Z

282

Evaluating Probabilistic Forecasts Using Information Theory  

Science Conference Proceedings (OSTI)

The problem of assessing the quality of an operational forecasting system that produces probabilistic forecasts is addressed using information theory. A measure of the quality of the forecasting scheme, based on the amount of a data compression ...

Mark S. Roulston; Leonard A. Smith

2002-06-01T23:59:59.000Z

283

Virtual Floe Ice Drift Forecast Model Intercomparison  

Science Conference Proceedings (OSTI)

Both sea ice forecast models and methods to measure their skill are needed for operational sea ice forecasting. Two simple sea ice models are described and tested here. Four different measures of skill are also tested. The forecasts from the ...

Robert W. Grumbine

1998-09-01T23:59:59.000Z

284

Ensemble Cloud Model Applications to Forecasting Thunderstorms  

Science Conference Proceedings (OSTI)

A cloud model ensemble forecasting approach is developed to create forecasts that describe the range and distribution of thunderstorm lifetimes that may be expected to occur on a particular day. Such forecasts are crucial for anticipating severe ...

Kimberly L. Elmore; David J. Stensrud; Kenneth C. Crawford

2002-04-01T23:59:59.000Z

285

3D atmospheric modeling based on MODTRAN4  

Science Conference Proceedings (OSTI)

All the factors of atmospheric environment that influence the transmission of infrared radiation were analyzed in detail in the paper. Taking horizontally varying atmospheric property into consideration, a 3D model of atmospheric transmission of infrared ... Keywords: MODTRAN4, infrared radiation, model, path radiation, ratio of atmospheric transmission, simulation, single scatter solar radiation

Ge Li; Zhifeng Lu; Gang Guo; Kedi Huang

2008-06-01T23:59:59.000Z

286

UNECE TIMBER COMMITTEE Market Discussions, 3-4 October 2006  

E-Print Network (OSTI)

's discussions · TC Market Statement · Market press release · Information to joint TC and European ForestryUNECE TIMBER COMMITTEE Market Discussions, 3-4 October 2006 Photo: NTC Photo: Stora Enso Photo: Stora Enso UNECE Timber Committee Market Discussions Theme: "China's influence on forest products

287

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

288

The evolution of consensus in macroeconomic forecasting  

E-Print Network (OSTI)

When professional forecasters repeatedly forecast macroeconomic variables, their forecasts may converge over time towards a consensus. The evolution of consensus is analyzed with Blue Chip data under a parametric polynomial decay function that permits flexibility in the decay path. For the most part, this specification fits the data. We test whether forecast differences decay to zero at the same point in time for a panel of forecasters, and discuss possible explanations for this, along with its implications for studies using panels of forecasters.

Allan W. Gregory; James Yetman; Jel Codes C E; Robert Eggert; Fred Joutz

2004-01-01T23:59:59.000Z

289

EIS-0391-FEIS-Volume3-Section4-2012  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

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,

290

Background pollution forecast over bulgaria  

Science Conference Proceedings (OSTI)

Both, the current level of air pollution studies and social needs in the country, are in a stage mature enough for creating Bulgarian Chemical Weather Forecasting and Information System The system is foreseen to provide in real time forecast of the spatial/temporal ...

D. Syrakov; K. Ganev; M. Prodanova; N. Miloshev; G. Jordanov; E. Katragkou; D. Melas; A. Poupkou; K. Markakis

2009-06-01T23:59:59.000Z

291

Frequency Dependence in Forecast Skill  

Science Conference Proceedings (OSTI)

A method is proposed to calculate measures of forecast skill for high, medium and low temporal frequency variations in the atmosphere. This method is applied to a series of 128 consecutive 1 to 10-day forecasts produced at NMC with their ...

H. M. van Den Dool; Suranjana Saha

1990-01-01T23:59:59.000Z

292

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

293

Improving Forecasting: A plea for historical retrospectives  

NLE Websites -- All DOE Office Websites (Extended Search)

Improving Forecasting: A plea for historical retrospectives Title Improving Forecasting: A plea for historical retrospectives Publication Type Journal Article Year of Publication...

294

Methodology for Developing the REScheck Software through Version 4.4.3  

NLE Websites -- All DOE Office Websites (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

295

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

296

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

297

322 IEEE TRANSACTIONS ON POWER SYSTEMS. VOL. 25. NO. I. FEBRUARY 2010 Short-Term Load Forecasting: Similar  

E-Print Network (OSTI)

for Short Term Electrical Load Forecasting," IEEE Trans. PWRS, vol. 11, no. 1, Feb. 1996, pp. 397-402. [4Short-Term Load Forecasting by Feed-Forward Neural Networks Saied S. Sharif1 , James H. Taylor2) is presented for the hourly load forecasting of the coming days. In this approach, 24 independent networks

Luh, Peter

298

An Evaluation of the Darwin Area Forecast Experiment Storm Occurrence Forecasts  

Science Conference Proceedings (OSTI)

Results from real-time forecasting the occurrence of storm activity during break and transition season flow within two 10-km-radius circles for periods up to 3 h in the tropics near Darwin, Australia (12S, 131E), are described. The ...

T. Keenan; R. Potts; T. Stevenson

1992-09-01T23:59:59.000Z

299

October 2012 Energy Assurance Planning Bulletin Volume 3 No 4  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

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 -

300

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:

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

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.

302

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.

303

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.

304

NOVEL CONCEPTS FOR ISOTOPIC SEPARATION OF 3HE/4HE  

SciTech Connect

The research outlined below established theoretical proof-of-concept using ab initio calculations that {sup 3}He can be separated from {sup 4}He by taking advantage of weak van der Waals interactions with other higher molecular weight rare gases such as xenon. To the best of our knowledge, this is the only suggested method that exploits the physical differences of the isotopes using a chemical interaction.

Roy, L.; Nigg, H.; Watson, H.

2012-09-04T23:59:59.000Z

305

Analysis of 3-panel and 4-panel microscale ionization sources  

Science Conference Proceedings (OSTI)

Two designs of a microscale electron ionization (EI) source are analyzed herein: a 3-panel design and a 4-panel design. Devices were fabricated using microelectromechanical systems technology. Field emission from carbon nanotube provided the electrons for the EI source. Ion currents were measured for helium, nitrogen, and xenon at pressures ranging from 10{sup -4} to 0.1 Torr. A comparison of the performance of both designs is presented. The 4-panel microion source showed a 10x improvement in performance compared to the 3-panel device. An analysis of the various factors affecting the performance of the microion sources is also presented. SIMION, an electron and ion optics software, was coupled with experimental measurements to analyze the ion current results. The electron current contributing to ionization and the ion collection efficiency are believed to be the primary factors responsible for the higher efficiency of the 4-panel microion source. Other improvements in device design that could lead to higher ion source efficiency in the future are also discussed. These microscale ion sources are expected to find application as stand alone ion sources as well as in miniature mass spectrometers.

Natarajan, Srividya; Parker, Charles B.; Glass, Jeffrey T. [Department of Electrical and Computer Engineering, Duke University, Durham, North Carolina 27708 (United States); Piascik, Jeffrey R.; Gilchrist, Kristin H. [Center for Materials and Electronic Technologies, RTI International, Research Triangle Park, North Carolina 27709 (United States); Stoner, Brian R. [Department of Electrical and Computer Engineering, Duke University, Durham, North Carolina 27708 (United States); Center for Materials and Electronic Technologies, RTI International, Research Triangle Park, North Carolina 27709 (United States)

2010-06-15T23:59:59.000Z

306

Colorado uranium production forecast for 1981 to 1990. [Monograph  

SciTech Connect

A decline in demand for yellowcake, a single-use commodity of which Colorado is the fourth largest producer, is influenced by several interrelated factors. The revised forecasts for 1990 assume that electric-power capacity will be lower than previous forecasts and that domestic production will supply 80% of the yellowcake. Production will be lower until inventory depletion allows a balanced market. Production rates will begin increasing after 1987. An appendix summarizes the factors influencing production rates. 10 references, 3 tables.

Morse, J.G.

1980-01-01T23:59:59.000Z

307

Comparison of Ensemble Kalman FilterBased Forecasts to Traditional Ensemble and Deterministic Forecasts for a Case Study of Banded Snow  

Science Conference Proceedings (OSTI)

The ensemble Kalman filter (EnKF) technique is compared to other modeling approaches for a case study of banded snow. The forecasts include a 12- and 3-km grid-spaced deterministic forecast (D12 and D3), a 12-km 30-member ensemble (E12), and a 12-...

Astrid Suarez; Heather Dawn Reeves; Dustan Wheatley; Michael Coniglio

2012-02-01T23:59:59.000Z

308

Sixth Northwest Conservation and Electric Power Plan Appendix D: Wholesale Electricity Price Forecast  

E-Print Network (OSTI)

Forecast Introduction................................................................... 16 The Base Case Forecast..................................................................... 16 Base Case Price Forecast

309

Quantitative Precipitation Forecast Techniques for Use in Hydrologic Forecasting  

Science Conference Proceedings (OSTI)

Quantitative hydrologic forecasting usually requires knowledge of the spatial and temporal distribution of precipitation. First, it is important to accurately measure the precipitation falling over a particular watershed of interest. Second, ...

Konstantine P. Georgakakos; Michael D. Hudlow

1984-11-01T23:59:59.000Z

310

Essays in International Macroeconomics and Forecasting  

E-Print Network (OSTI)

This dissertation contains three essays in international macroeconomics and financial time series forecasting. In the first essay, I show, numerically, that a two-country New-Keynesian Sticky Prices model, driven by monetary and productivity shocks, is capable of explaining the highly positive correlation across the industrialized countries' inflation even though their cross-country correlation in money growth rate is negligible. The structure of this model generates cross-country correlations of inflation, output and consumption that appear to closely correspond to the data. Additionally, this model can explain the internal correlation between inflation and output observed in the data. The second essay presents two important results. First, gains from monetary policy cooperation are different from zero when the elasticity of substitution between domestic and imported goods consumption is different from one. Second, when monetary policy is endogenous in a two-country model, the only Nash equilibria supported by this model are those that are symmetrical. That is, all exporting firms in both countries choose to price in their own currency, or all exporting firms in both countries choose to price in the importer's currency. The last essay provides both conditional and unconditional predictive ability evaluations of the aluminum futures contracts prices, by using five different econometric models, in forecasting the aluminum spot price monthly return 3, 15, and 27-months ahead for the sample period 1989.01-2010.10. From these evaluations, the best model in forecasting the aluminum spot price monthly return 3 and 15 months ahead is followed by a (VAR) model whose variables are aluminum futures contracts price, aluminum spot price and risk free interest rate, whereas for the aluminum spot price monthly return 27 months ahead is a single equation model in which the aluminum spot price today is explained by the aluminum futures price 27 months earlier. Finally, it shows that iterated multiperiod-ahead time series forecasts have a better conditional out-of-sample forecasting performance of the aluminum spot price monthly return when an estimated (VAR) model is used as a forecasting tool.

Bejarano Rojas, Jesus Antonio

2011-08-01T23:59:59.000Z

311

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):

312

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

SciTech Connect

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

313

Load Forecast For use in Resource Adequacy  

E-Print Network (OSTI)

Load Forecast 2019 For use in Resource Adequacy Massoud Jourabchi #12;In today's presentation d l­ Load forecast methodology ­ Drivers of the forecast f i­ Treatment of conservation ­ Incorporating impact of weather ­ Forecast for 2019 #12;Regional Loads (MWA and MW)Regional Loads (MWA and MW

314

Forecast Technical Document Felling and Removals  

E-Print Network (OSTI)

Forecast Technical Document Felling and Removals Forecasts A document describing how volume fellings and removals are handled in the 2011 Production Forecast system. Tom Jenkins Robert Matthews Ewan Mackie Lesley Halsall #12;PF2011 ­ Felling and removals forecasts Background A fellings and removals

315

CALIFORNIA ENERGY DEMAND 20122022 FINAL FORECAST  

E-Print Network (OSTI)

CALIFORNIA ENERGY DEMAND 20122022 FINAL FORECAST Volume 1: Statewide Electricity forecast is the combined product of the hard work and expertise of numerous staff members in the Demand the commercial sector forecast. Mehrzad Soltani Nia helped prepare the industrial forecast. Miguel Garcia

316

Combining forecast weights: Why and how?  

Science Conference Proceedings (OSTI)

This paper proposes a procedure called forecast weight averaging which is a specific combination of forecast weights obtained from different methods of constructing forecast weights for the purpose of improving the accuracy of pseudo out of sample forecasting. It is found that under certain specified conditions

Yip Chee Yin; Ng Kok-Haur; Lim Hock-Eam

2012-01-01T23:59:59.000Z

317

PROBLEMS OF FORECAST1 Dmitry KUCHARAVY  

E-Print Network (OSTI)

1 PROBLEMS OF FORECAST1 Dmitry KUCHARAVY dmitry.kucharavy@insa-strasbourg.fr Roland DE GUIO roland for the purpose of Innovative Design. First, a brief analysis of problems for existing forecasting methods of the forecast errors. Second, using a contradiction analysis, a set of problems related to technology forecast

Paris-Sud XI, Université de

318

Assessing Forecast Accuracy Measures Department of Economics  

E-Print Network (OSTI)

Assessing Forecast Accuracy Measures Zhuo Chen Department of Economics Heady Hall 260 Iowa State forecast accuracy measures. In the theoretical direction, for comparing two forecasters, only when the errors are stochastically ordered, the ranking of the forecasts is basically independent of the form

319

Object-Based Evaluation of the Impact of Horizontal Grid Spacing on Convection-Allowing Forecasts  

Science Conference Proceedings (OSTI)

Forecasts generated by the Center for Analysis and Prediction of Storms with 1- and 4-km grid spacing using the Advanced Research Weather Research and Forecasting Model (ARW-WRF; ARW1 and ARW4, respectively) for the 200911 NOAA Hazardous Weather ...

Aaron Johnson; Xuguang Wang; Fanyou Kong; Ming Xue

2013-10-01T23:59:59.000Z

320

Current status of ForecastCurrent status of Forecast 2005 EPACT is in the model  

E-Print Network (OSTI)

1 1 Current status of ForecastCurrent status of Forecast 2005 EPACT is in the model 2007 Federal prices are being inputted into the model 2 Sales forecast Select yearsSales forecast Select years --Draft 0.53% Irrigation 2.76% Annual Growth Rates Preliminary Electricity ForecastAnnual Growth Rates

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

Can earnings forecasts be improved by taking into account the forecast bias?  

E-Print Network (OSTI)

Can earnings forecasts be improved by taking into account the forecast bias? François DOSSOU allow the calculation of earnings adjusted forecasts, for horizons from 1 to 24 months. We explain variables. From the forecast evaluation statistics viewpoints, the adjusted forecasts make it possible quasi

Paris-Sud XI, Université de

322

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):

323

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

Science Conference Proceedings (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

324

Value of medium range weather forecasts in the improvement of seasonal hydrologic prediction skill  

SciTech Connect

We investigated the contribution of medium range weather forecasts with lead times up to 14 days to seasonal hydrologic prediction skill over the Conterminous United States (CONUS). Three different Ensemble Streamflow Prediction (ESP)-based experiments were performed for the period 1980-2003 using the Variable Infiltration Capacity (VIC) hydrology model to generate forecasts of monthly runoff and soil moisture (SM) at lead-1 (first month of the forecast period) to lead-3. The first experiment (ESP) used a resampling from the retrospective period 1980-2003 and represented full climatological uncertainty for the entire forecast period. In the second and third experiments, the first 14 days of each ESP ensemble member were replaced by either observations (perfect 14-day forecast) or by a deterministic 14-day weather forecast. We used Spearman rank correlations of forecasts and observations as the forecast skill score. We estimated the potential and actual improvement in baseline skill as the difference between the skill of experiments 2 and 3 relative to ESP, respectively. We found that useful runoff and SM forecast skill at lead-1 to -3 months can be obtained by exploiting medium range weather forecast skill in conjunction with the skill derived by the knowledge of initial hydrologic conditions. Potential improvement in baseline skill by using medium range weather forecasts, for runoff (SM) forecasts generally varies from 0 to 0.8 (0 to 0.5) as measured by differences in correlations, with actual improvement generally from 0 to 0.8 of the potential improvement. With some exceptions, most of the improvement in runoff is for lead-1 forecasts, although some improvement in SM was achieved at lead-2.

Shukla, Shraddhanand; Voisin, Nathalie; Lettenmaier, D. P.

2012-08-15T23:59:59.000Z

325

Value of Wind Power Forecasting  

DOE Green Energy (OSTI)

This study, building on the extensive models developed for the Western Wind and Solar Integration Study (WWSIS), uses these WECC models to evaluate the operating cost impacts of improved day-ahead wind forecasts.

Lew, D.; Milligan, M.; Jordan, G.; Piwko, R.

2011-04-01T23:59:59.000Z

326

Fuzzy forecasting with DNA computing  

Science Conference Proceedings (OSTI)

There are many forecasting techniques including: exponential smoothing, ARIMA model, GARCH model, neural networks and genetic algorithm, etc. Since financial time series may be influenced by many factors, conventional model based techniques and hard ...

Don Jyh-Fu Jeng; Junzo Watada; Berlin Wu; Jui-Yu Wu

2006-06-01T23:59:59.000Z

327

Sampling Errors in Seasonal Forecasting  

Science Conference Proceedings (OSTI)

The limited numbers of start dates and ensemble sizes in seasonal forecasts lead to sampling errors in predictions. Defining the magnitude of these sampling errors would be useful for end users as well as informing decisions on resource ...

Stephen Cusack; Alberto Arribas

2009-03-01T23:59:59.000Z

328

Scoring Rules for Forecast Verification  

Science Conference Proceedings (OSTI)

The problem of probabilistic forecast verification is approached from a theoretical point of view starting from three basic desiderata: additivity, exclusive dependence on physical observations (locality), and strictly proper behavior. By ...

Riccardo Benedetti

2010-01-01T23:59:59.000Z

329

Wavelets and Field Forecast Verification  

Science Conference Proceedings (OSTI)

Current field forecast verification measures are inadequate, primarily because they compress the comparison between two complex spatial field processes into one number. Discrete wavelet transforms (DWTs) applied to analysis and contemporaneous ...

William M. Briggs; Richard A. Levine

1997-06-01T23:59:59.000Z

330

Richardson's Barotropic Forecast: A Reappraisal  

Science Conference Proceedings (OSTI)

To elucidate his numerical technique and to examine the effectiveness of geostrophic initial winds, Lewis Fry Richardson carried out an idealized forecast using the linear shallow-water equations and simple analytical pressure and velocity ...

Peter Lynch

1992-01-01T23:59:59.000Z

331

Future world oil prices: modeling methodologies and summary of recent forecasts  

SciTech Connect

This paper has three main objectives. First, the various methodologies that have been developed to explain historical oil price changes and forecast future price trends are reviewed and summarized. Second, the paper summarizes recent world oil price forecasts, and, then possible, discusses the methodologies used in formulating those forecasts. Third, utilizing conclusions from the reviews of the modeling methodologies and the recent price forecasts, in combination with an assessment of recent and projected oil market trends, oil price projections are given for the time period 1987 to 2022. The paper argues that modeling methodologies have undergone significant evolution during the past decade as modelers increasingly recognize the complex and constantly changing structure of the world oil market. Unfortunately, at this point in time a consensus about the appropriate methodology to use in formulating oil price forecasts is yet to be reached. There is, however, a general movement toward the opinion that both economic and political factors should be considered when making price projections. Likewise, there is no consensus about future oil price trends. Forecasts differ widely. However, in general, forecasts have been adjusted downwardly in recent years. Further, an overall assessment of the forecasts and recent oil market trends suggests that oil prices will remain constant in real terms for the remainder of the 1980s. Real oil prices are expected to increase by between 2 and 3% during the 1990s and beyond. Forecasters are quick to point out, however, that all forecasts are subject to significant uncertainty. 69 references, 3 figures, 10 tables.

Curlee, T.R.

1985-04-01T23:59:59.000Z

332

Forecasting world oil prices: the evolution of modeling methodologies and summary of recent projections  

SciTech Connect

This paper has three main objectives: (1) to review and summarize the varios methodologies that have been developed to explain historical oil price changes and forecast future price trends, (2) to summarize recent world oil price forecasts, and, when possible, discuss the methodologies used in formulating those forecasts, and (3) utilizing conclusions from the reviews of the modeling methodologies and the recent price forecasts, in combination with an assessment of recent and projected oil market trends, to give oil price projections for the time period 1987 to 2022. The paper argues that modeling methodologies have undergone significant evolution during the past decade as modelers increasingly recognize the complex and constantly changing structure of the world oil market. Unfortunately, a consensus about the appropriate methodology to use in formulating oil price forecasts is yet to be reached. There is, however, a general movement toward the opinion that both economic and political factors should be considered when making price projections. Likewise, there is no consensus about future oil price trends. Forecasts differ widely. However, in general, forecasts have been adjusted downwardly in recent years. Further, an overall assessment of the forecasts and recent oil market trends suggests that oil prices will remain constant in real terms for the remainder of the 1980s. Real oil prices are expected to increase by between 2 and 3% during the 1990s and beyond. Forecasters are quick to point out, however, that all forecasts are subject to significant uncertainty. 68 references, 1 figure, 6 tables.

Curlee, T.R.

1985-01-01T23:59:59.000Z

333

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.

334

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

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

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

335

trans-K3[TcO2(CN)4  

SciTech Connect

The dioxotetracyanotechnetate anion, [TcO2(CN)4]3-, of the title complex has octahedral symmetry. The technetium is located on a center of inversion and is bound by two oxygen atoms and four cyano ligands. The Tc?O bond distance of 1.7721 (12) is consistent with double bond character. The potassium cations [located on special (1/2,0,1) and general positions] reside in octahedral or tetrahedral environments; interionic KO and KN interactions occur in the 2.7877 (19)-2.8598 (15) range.

Chatterjee, Sayandev; Del Negro, Andrew S.; Edwards, Matthew K.; Twamley, Brendan; Krause, Jeanette A.; Bryan, Samuel A.

2010-07-14T23:59:59.000Z

336

Downscaling Extended Weather Forecasts for Hydrologic Prediction  

SciTech Connect

Weather and climate forecasts are critical inputs to hydrologic forecasting systems. The National Center for Environmental Prediction (NCEP) issues 8-15 days outlook daily for the U.S. based on the Medium Range Forecast (MRF) model, which is a global model applied at about 2? spatial resolution. Because of the relatively coarse spatial resolution, weather forecasts produced by the MRF model cannot be applied directly to hydrologic forecasting models that require high spatial resolution to represent land surface hydrology. A mesoscale atmospheric model was used to dynamically downscale the 1-8 day extended global weather forecasts to test the feasibility of hydrologic forecasting through this model nesting approach. Atmospheric conditions of each 8-day forecast during the period 1990-2000 were used to provide initial and boundary conditions for the mesoscale model to produce an 8-day atmospheric forecast for the western U.S. at 30 km spatial resolution. To examine the impact of initialization of the land surface state on forecast skill, two sets of simulations were performed with the land surface state initialized based on the global forecasts versus land surface conditions from a continuous mesoscale simulation driven by the NCEP reanalysis. Comparison of the skill of the global and downscaled precipitation forecasts in the western U.S. showed higher skill for the downscaled forecasts at all precipitation thresholds and increasingly larger differences at the larger thresholds. Analyses of the surface temperature forecasts show that the mesoscale forecasts generally reduced the root-mean-square error by about 1.5 C compared to the global forecasts, because of the much better resolved topography at 30 km spatial resolution. In addition, initialization of the land surface states has large impacts on the temperature forecasts, but not the precipitation forecasts. The improvements in forecast skill using downscaling could be potentially significant for improving hydrologic forecasts for managing river basins.

Leung, Lai-Yung R.; Qian, Yun

2005-03-01T23:59:59.000Z

337

Light truck forecasts  

SciTech Connect

The recent dramatic increase in the number of light trucks (109% between 1963 and 1974) has prompted concern about the energy consequences of the growing popularity of the light truck. An estimate of the future number of light trucks is considered to be a reasonable first step in assessing the energy impact of these vehicles. The monograph contains forecasts based on two models and six scenarios. The coefficients for the models have been derived by ordinary least squares regression of national level time series data. The first model is a two stage model. The first stage estimates the number of light trucks and cars (together), and the second stage applies a share's submodel to determine the number of light trucks. The second model is a simultaneous equation model. The two models track one another remarkably well, within about 2%. The scenarios were chosen to be consistent with those used in the Lindsey-Kaufman study Projection of Light Truck Population to Year 2025. Except in the case of the most dismal economic scenario, the number of light trucks is expected to increase from the 1974 level of 0.09 light truck per person to about 0.12 light truck per person in 1995.

Liepins, G.E.

1979-09-01T23:59:59.000Z

338

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 >>

339

The Potential Impact of Using Persistence as a Reference Forecast on Perceived Forecast Skill  

Science Conference Proceedings (OSTI)

Skill is defined as actual forecast performance relative to the performance of a reference forecast. It is shown that the choice of reference (e.g., random or persistence) can affect the perceived performance of the forecast system. Two scores, ...

Marion P. Mittermaier

2008-10-01T23:59:59.000Z

340

Evaluation of Wave Forecasts Consistent with Tropical Cyclone Warning Center Wind Forecasts  

Science Conference Proceedings (OSTI)

An algorithm to generate wave fields consistent with forecasts from the official U.S. tropical cyclone forecast centers has been made available in nearreal time to forecasters since summer 2007. The algorithm removes the tropical cyclone from ...

Charles R. Sampson; Paul A. Wittmann; Efren A. Serra; Hendrik L. Tolman; Jessica Schauer; Timothy Marchok

2013-02-01T23:59:59.000Z

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

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

342

The Complex Relationship between Forecast Skill and Forecast Value: A Real-World Analysis  

Science Conference Proceedings (OSTI)

For routine forecasts of temperature and precipitation, the relative skill advantage of human forecasters with respect to the numericalstatistical guidance is small (and diminishing). Since the relationship between forecast skill and the value ...

Paul J. Roebber; Lance F. Bosart

1996-12-01T23:59:59.000Z

343

Quantification of Uncertainity in Fire-Weather Forecasts: Some Results of Operational and Experimental Forecasting Programs  

Science Conference Proceedings (OSTI)

Fire-weather forecasts (FWFs) prepared by National Weather Service (NWS) forecasters on an operational basis are traditionally expressed in categorical terms. However, to make rational and optimal use of such forecasts, fire managers need ...

Barbara G. Brown; Allan H. Murphy

1987-09-01T23:59:59.000Z

344

Ability to Forecast Regional Soil Moisture with a Distributed Hydrological Model Using ECMWF Rainfall Forecasts  

Science Conference Proceedings (OSTI)

This study mimics an online forecast system to provide nine day-ahead forecasts of regional soil moisture. It uses modified ensemble rainfall forecasts from the numerical weather prediction model of the European Centre for Medium-Range Weather ...

J. M. Schuurmans; M. F. P. Bierkens

2009-04-01T23:59:59.000Z

345

Spatial Structure, Forecast Errors, and Predictability of the South Asian Monsoon in CFS Monthly Retrospective Forecasts  

Science Conference Proceedings (OSTI)

The spatial structure of the boreal summer South Asian monsoon in the ensemble mean of monthly retrospective forecasts by the Climate Forecast System of the National Centers for Environmental Prediction is examined. The forecast errors and ...

Hae-Kyung Lee Drbohlav; V. Krishnamurthy

2010-09-01T23:59:59.000Z

346

What Is a Good Forecast? An Essay on the Nature of Goodness in Weather Forecasting  

Science Conference Proceedings (OSTI)

Differences of opinion exist among forecastersand between forecasters and usersregarding the meaning of the phrase good (bad) weather forecasts. These differences of opinion are fueled by a lack of clarity and/or understanding concerning the ...

Allan H. Murphy

1993-06-01T23:59:59.000Z

347

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

348

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)

349

Spin-resolved photoelectron spectroscopy of Fe3O4  

SciTech Connect

The existence of a new class of magnetic materials displaying metallic character for one electron spin population and insulating character for the other was first populated by DeGroot et al. in 1983 based on theoretical band structure calculations of the ferromagnetic Heusler alloy NiMnSb. Since then such half metallic materials, which by definition possess 100% electron polarization at the Fermi energy, have attracted considerable theoretical, experimental, and technological interest as potential pure spin sources for use in spintronic devices. In addition to Heusler alloys (e.g. NiMnSb, PtMnSb), half metallic character has also been predicted to occur in a wide range of manganites (e.g. La1-xCaxMnO3, La1-x-SrxMnO3), metallic oxides (e.g. Fe3O4, CrO2) and CMR systems. However, such predictions have proven to be extremely difficult to confirm experimentally. Possible reasons for this include the theoretical limitations arising from the complex crystallographic structure of many such materials and limitations in applying the single electron picture to materials where strong electron correlation may be present; this is compounded by experimental difficulties posed by their structural complexity and issues such as surface contamination, segregation, and reconstruction.

Morton, Simon; Waddill, Dan; Kim, S H.; Schuller, I K.; Chambers, Scott A.; Tobin, James G.

2002-08-01T23:59:59.000Z

350

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.

351

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.

352

Base Resource Forecasts - Power Marketing - Sierra Nevada Region...  

NLE Websites -- All DOE Office Websites (Extended Search)

Marketing > Base Resource Forecasts Base Resource Forecasts Note: Annual, rolling (monthly for 12 months), base resource forecasts are posted when they become available. Annual...

353

Forecasting new product penetration with flexible substitution patterns  

E-Print Network (OSTI)

choice model for forecasting demand for alternative-fuel7511, Urban Travel Demand Forecasting Project, Institute of89 (1999) 109129 Forecasting new product penetration with ?

Brownstone, David; Train, Kenneth

1999-01-01T23:59:59.000Z

354

Overestimation Reduction in Forecasting Telecommuting as a TDM Policy  

E-Print Network (OSTI)

M. , Ethics and advocacy in forecasting for public policy.change and social forecasting: the case of telecommuting asOverestimation Reduction in Forecasting Telecommuting as a

Tal, Gil

2008-01-01T23:59:59.000Z

355

Forecasting US CO2 Emissions Using State-Level Data  

E-Print Network (OSTI)

F. Hendry (eds), Economic Forecasting, Blackwell Publishing,W. : 2002, Macroeconomic forecasting using di?usion indexes,2003, Macroeconomic forecasting in the euro area: Country

Steinhauser, Ralf; Auffhammer, Maximilian

2005-01-01T23:59:59.000Z

356

NoVaS Transformations: Flexible Inference for Volatility Forecasting  

E-Print Network (OSTI)

and Correlation Forecasting in G. Elliott, C.W.J.Handbook of Economic Forecasting, Amsterdam: North-Holland,Transformations, forthcoming in Forecasting in the Presence

Politis, Dimitris N; Thomakos, Dimitrios D

2008-01-01T23:59:59.000Z

357

Forecasting new product penetration with flexible substitution patterns  

E-Print Network (OSTI)

7511, Urban Travel Demand Forecasting Project, Institute ofchoice model for forecasting demand for alternative-fuel89 (1999) 109129 Forecasting new product penetration with

Brownstone, David; Train, Kenneth

1999-01-01T23:59:59.000Z

358

Earthquake Forecasting in Diverse Tectonic Zones of the Globe  

E-Print Network (OSTI)

Long-term probabilistic forecasting of earthquakes, J.2000), Probabilistic forecasting of earthquakes, Geophys. J.F.F. (2006), The EEPAS forecasting model and the probability

Kagan, Y. Y.; Jackson, D. D.

2010-01-01T23:59:59.000Z

359

Ensemble-based methods for forecasting census in hospital units  

E-Print Network (OSTI)

P, Fitzgerald G: Regression forecasting of patient admissionapproach to modeling and forecasting demand in the emergencySJ, Haug PJ, Snow GL: Forecasting daily patient volumes in

Koestler, Devin C; Ombao, Hernando; Bender, Jesse

2013-01-01T23:59:59.000Z

360

Forecasting Danerous Inmate Misconduct: An Applications of Ensemble Statistical Procedures  

E-Print Network (OSTI)

costs could alter forecasting skill and the predictors thatForecasting Dangerous Inmate Misconduct: An Applications ofOn-Line Working Paper Series Forecasting Dangerous Inmate

Berk, Richard A.; Kriegler, Brian; Baek, John-Ho

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.


361

Developing a Practical Forecasting Screener for Domestic Violence Incidents  

E-Print Network (OSTI)

Developing a Practical Forecasting Screener for Domesticcomplicated did not improve forecasting skill. Taking thethe local costs of forecasting errors. It is also feasible

Richard A. Berk; Susan B. Sorenson; Yan He

2011-01-01T23:59:59.000Z

362

Forecasting with Dynamic Microsimulation: Design, Implementation, and Demonstration  

E-Print Network (OSTI)

Goulias Page 84 Forecasting with Dynamic Microsimulation:Goulias Page 80 Forecasting with Dynamic Microsimulation:L. Demographic Forecasting with a Dynamic Stochastic

Ravulaparthy, Srinath; Goulias, Konstadinos G.

2011-01-01T23:59:59.000Z

363

Annual Energy Outlook Forecast Evaluation-Table 1  

Annual Energy Outlook 2012 (EIA)

Annual Energy Outlook Forecast Evaluation > Table 1 Annual Energy Outlook Forecast Evaluation Table 1. Comparison of Absolute Percent Errors for AEO Forecast Evaluation, 1996 to...

364

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

365

Surveillance Guide - CMS 3.3 CMS 3.4 Temporary Changes  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

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

366

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):

367

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)

368

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"

369

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):

370

Experiences with 036-h Explicit Convective Forecasts with the WRF-ARW Model  

Science Conference Proceedings (OSTI)

Herein, a summary of the authors experiences with 36-h real-time explicit (4 km) convective forecasts with the Advanced Research Weather Research and Forecasting Model (WRF-ARW) during the 200305 spring and summer seasons is presented. These ...

Morris L. Weisman; Christopher Davis; Wei Wang; Kevin W. Manning; Joseph B. Klemp

2008-06-01T23:59:59.000Z

371

Dynamics and Structure of Forecast Error Covariance in the Core of a Developing Hurricane  

Science Conference Proceedings (OSTI)

An ensemble of cloud-resolving forecasts from the Weather Research and Forecasting model (WRF) was used to study error covariance for Hurricane Katrina (2005) during a 64-h period in which the storm progressed from a tropical storm to a category-4 ...

Jonathan Poterjoy; Fuqing Zhang

2011-08-01T23:59:59.000Z

372

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

373

A Review of Numerical Forecast Guidance for Hurricane Hugo  

Science Conference Proceedings (OSTI)

Numerical forecast guidance for Hurricane Hugo from the National Meteorological Center is examined, as well as forecasts from the European Center for Medium Range Forecasting and the United Kingdom Meteorological Office. No one forecast product ...

John H. Ward

1990-09-01T23:59:59.000Z

374

Short-Range Ensemble Forecasts of Precipitation Type  

Science Conference Proceedings (OSTI)

Short-range ensemble forecasting is extended to a critical winter weather problem: forecasting precipitation type. Forecast soundings from the operational NCEP Short-Range Ensemble Forecast system are combined with five precipitation-type ...

Matthew S. Wandishin; Michael E. Baldwin; Steven L. Mullen; John V. Cortinas Jr.

2005-08-01T23:59:59.000Z

375

Summary Verification Measures and Their Interpretation for Ensemble Forecasts  

Science Conference Proceedings (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

376

Using Customers' Reported Forecasts to Predict Future Sales  

E-Print Network (OSTI)

Using Customers' Reported Forecasts to Predict Future Sales Nihat Altintas , Alan Montgomery orders using forecasts provided by their customers. Our goal is to improve the supplier's operations through a better un- derstanding of the customers's forecast behavior. Unfortunately, customer forecasts

Murphy, Robert F.

377

1 0 1 S . W . M a i n S t r e e t , S u i t e 1 6 0 5 P o r t l a n d , O R 9 7 2 0 4 -3 2 1 6 March 6, 2009  

E-Print Network (OSTI)

Modeling and Forecasting Electric Daily Peak Loads Using Abductive Networks R. E. Abdel adaptive techniques for electric-load forecast using ANN and ARIMA. IEE Proc. C 2000;147:213 ­17. [3 model for electrical daily peak load forecasting with an adjustment for holidays. Proceedings

378

The Automated Tropical Cyclone Forecasting System (ATCF)  

Science Conference Proceedings (OSTI)

The U.S. Navy Automated Tropical Cyclone Forecasting System (ATCF) is an IBM-AT compatible software package developed for the Joint Typhoon Warning Center (JTWC), Guam. ATCF is designed to assist forecasters with the process of making tropical ...

Ronald J. Miller; Ann J. Schrader; Charles R. Sampson; Ted L. Tsui

1990-12-01T23:59:59.000Z

379

Evaluation of LFM-2 Quantitative Precipitation Forecasts  

Science Conference Proceedings (OSTI)

The results of a near real time experiment designed to assess the state of the art of quantitative precipitation forecasting skill of the operational NMC LFM-2 are described. All available LFM-2 quantitative precipitation forecasts were verified ...

Lance F. Bosart

1980-08-01T23:59:59.000Z

380

Forecaster Workstation Design: Concepts and Issues  

Science Conference Proceedings (OSTI)

Some basic ideas about designing a meteorological workstation for operational weather forecasting are presented, in part as a complement to the recently published discussion of workstation design by R. R. Hoffman. Scientific weather forecasting ...

Charles A. Doswell III

1992-06-01T23:59:59.000Z

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.


381

Performance of Recent Multimodel ENSO Forecasts  

Science Conference Proceedings (OSTI)

The performance of the International Research Institute for Climate and Society ENSO forecast plume during the 200211 period is evaluated using deterministic and probabilistic verification measures. The plume includes multiple model forecasts ...

Michael K. Tippett; Anthony G. Barnston; Shuhua Li

2012-03-01T23:59:59.000Z

382

Local Forecast Communication In The Altiplano  

Science Conference Proceedings (OSTI)

Forecasts play an important role in planting decisions for Andean peasant producers. Predictions of the upcoming cropping season determine when, where, and what farmers will plant. This research looks at the sources of forecast information used ...

Jere L. Gilles; Corinne Valdivia

2009-01-01T23:59:59.000Z

383

Bayesian Model Verification of NWP Ensemble Forecasts  

Science Conference Proceedings (OSTI)

Forecasts of convective precipitation have large uncertainties. To consider the forecast uncertainties of convection-permitting models, a convection-permitting ensemble prediction system (EPS) based on the Consortium for Small-scale Modeling (...

Andreas Rpnack; Andreas Hense; Christoph Gebhardt; Detlev Majewski

2013-01-01T23:59:59.000Z

384

Economic and Statistical Measures of Forecast Accuracy  

E-Print Network (OSTI)

This paper argues in favour of a closer link between decision and forecast evaluation problems. Although the idea of using decision theory for forecast evaluation appears early in the dynamic stochastic programming literature, and has continued...

Granger, Clive W J; Pesaran, M Hashem

2004-06-16T23:59:59.000Z

385

2013 Midyear Economic Forecast Sponsorship Opportunity  

E-Print Network (OSTI)

2013 Midyear Economic Forecast Sponsorship Opportunity Thursday, April 18, 2013, ­ Hyatt Regency Irvine 11:30 a.m. ­ 1:30 p.m. Dr. Anil Puri presents his annual Midyear Economic Forecast addressing

de Lijser, Peter

386

Forecasting consumer products using prediction markets  

E-Print Network (OSTI)

Prediction Markets hold the promise of improving the forecasting process. Research has shown that Prediction Markets can develop more accurate forecasts than polls or experts. Our research concentrated on analyzing Prediction ...

Trepte, Kai

2009-01-01T23:59:59.000Z

387

Probabilistic Visibility Forecasting Using Bayesian Model Averaging  

Science Conference Proceedings (OSTI)

Bayesian model averaging (BMA) is a statistical postprocessing technique that has been used in probabilistic weather forecasting to calibrate forecast ensembles and generate predictive probability density functions (PDFs) for weather quantities. ...

Richard M. Chmielecki; Adrian E. Raftery

2011-05-01T23:59:59.000Z

388

Intercomparison of Spatial Forecast Verification Methods  

Science Conference Proceedings (OSTI)

Advancements in weather forecast models and their enhanced resolution have led to substantially improved and more realistic-appearing forecasts for some variables. However, traditional verification scores often indicate poor performance because ...

Eric Gilleland; David Ahijevych; Barbara G. Brown; Barbara Casati; Elizabeth E. Ebert

2009-10-01T23:59:59.000Z

389

Forecasting with Reference to a Specific Climatology  

Science Conference Proceedings (OSTI)

Seasonal forecasts are most commonly issued as anomalies with respect to some multiyear reference period. However, different seasonal forecasting centers use different reference periods. This paper shows that for near-surface temperature, ...

Emily Wallace; Alberto Arribas

2012-11-01T23:59:59.000Z

390

Probabilistic Quantitative Precipitation Forecasts for River Basins  

Science Conference Proceedings (OSTI)

A methodology has been formulated to aid a field forecaster in preparing probabilistic quantitative precipitation forecasts (QPFs) for river basins. The format of probabilistic QPF is designed to meet three requirements: (i) it is compatible with ...

Roman Krzysztofowicz; William J. Drzal; Theresa Rossi Drake; James C. Weyman; Louis A. Giordano

1993-12-01T23:59:59.000Z

391

A General Framework for Forecast Verification  

Science Conference Proceedings (OSTI)

A general framework for forecast verification based on the joint distribution of forecasts and observations is described. For further elaboration of the framework, two factorizations of the joint distribution are investigated: 1) the calibration-...

Allan H. Murphy; Robert L. Winkler

1987-07-01T23:59:59.000Z

392

Antarctic Satellite Meteorology: Applications for Weather Forecasting  

Science Conference Proceedings (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

393

Value from Ambiguity in Ensemble Forecasts  

Science Conference Proceedings (OSTI)

This study explores the objective application of ambiguity information, that is, the uncertainty in forecast probability derived from an ensemble. One application approach, called uncertainty folding, merges ambiguity with forecast uncertainty ...

Mark S. Allen; F. Anthony Eckel

2012-02-01T23:59:59.000Z

394

Management of supply chain: an alternative modelling technique for forecasting  

E-Print Network (OSTI)

Forecasting is a necessity almost in any operation. However, the tools of forecasting are still primitive in view

Datta, Shoumen

2007-05-23T23:59:59.000Z

395

Improving week two forecasts with multi-model re-forecast ensembles  

E-Print Network (OSTI)

Improving week two forecasts with multi-model re-forecast ensembles Jeffrey S. Whitaker and Xue Wei NOAA-CIRES Climate Diagnostics Center, Boulder, CO Fr´ed´eric Vitart Seasonal Forecasting Group, ECMWF dataset of ensemble 're-forecasts' from a single model can significantly improve the skill

Whitaker, Jeffrey S.

396

Current Forecast for Sunspot Cycle 24 Parameters  

Science Conference Proceedings (OSTI)

Our prediction for the development of sunspot cycle 23 activity came true; one of the very few to have attained this status. We use the 3?cycle quasi?periodicity observed in the planetary index Ap. We improve our method by including data for 150 years and draw inferences as to what to expect for the development phase of cycle 24. Our forecast for the smoothed sunspot number at cycle 24 peak 785 in June 2013; the possibility that next three cycles may be progressively less active cannot be ruled out; the trend may possibly continue for the rest of the 21st century.

H. S. Ahluwalia; R. C. Ygbuhay

2010-01-01T23:59:59.000Z

397

Forecasting for energy and chemical decision analysis  

SciTech Connect

This paper focuses on uncertainty and bias in forecasts used for major energy and chemical investment decisions. Probability methods for characterizing uncertainty in the forecast are reviewed. Sources of forecasting bias are classified based on the results of relevant psychology research. Examples are drawn from the energy and chemical industry to illustrate the value of explicit characterization of uncertainty and reduction of bias in forecasts.

Cazalet, E.G.

1984-08-01T23:59:59.000Z

398

A Rank Approach to Equity Forecast Construction  

E-Print Network (OSTI)

that are fit for their purpose; for example, returningaggregate county and sector forecasts that are consistent by construction....

Satchell, Stephen E; Wright, Stephen M

2006-03-14T23:59:59.000Z

399

Forecasting Techniques Utilized by the Forecast Branch of the National Meteorological Center During a Major Convective Rainfall Event  

Science Conference Proceedings (OSTI)

Meteorologists within the Forecast Branch (FB) of the National Meteorological Center (NMC) produce operational quantitative precipitation forecasts (QPFs). These manual forecasts are prepared utilizing various forecasting techniques, which are ...

Theodore W. Funk

1991-12-01T23:59:59.000Z

400

Application of Forecast Verification Science to Operational River Forecasting in the U.S. National Weather Service  

Science Conference Proceedings (OSTI)

Forecast verification in operational hydrology has been very limited to date, mainly due to the complexity of verifying both forcing input forecasts and hydrologic forecasts on multiple spacetime scales. However, forecast verification needs to ...

Julie Demargne; Mary Mullusky; Kevin Werner; Thomas Adams; Scott Lindsey; Noreen Schwein; William Marosi; Edwin Welles

2009-06-01T23:59:59.000Z

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.


401

FOS 4.3.6 FG-2u FIPS Level 2 Security Policy.book  

Science Conference Proceedings (OSTI)

Page 1. FSM1 FSM2 FSM3 FSM4 SHUT DOWN POWER STATUS HA ALARM CONSOLE USB MGMT 1 MGMT 2 FortiGate 3140B NP4-1 NP4-2 1 4 ...

2013-05-23T23:59:59.000Z

402

Load Forecasting for Modern Distribution Systems  

Science Conference Proceedings (OSTI)

Load forecasting is a fundamental activity for numerous organizations and activities within a utility, including planning, operations, and control. Transmission and Distribution (T&D) planning and design engineers use the load forecast to determine whether any changes and additions are needed to the electric system to satisfy the anticipated load. Other load forecast users include system operations, financial ...

2013-03-08T23:59:59.000Z

403

Modeling and Forecasting Electric Daily Peak Loads  

E-Print Network (OSTI)

Forecast Update As part of the Mid Term Assessment, staff is preparing a long term wholesale electricity 29, 2012 Preliminary Results of the Electricity Price Forecast Update As part of the Mid Term Assessment, staff is preparing a long term wholesale electricity market price forecast. A summary of the work

Abdel-Aal, Radwan E.

404

CALIFORNIA ENERGY DEMAND 20142024 FINAL FORECAST  

E-Print Network (OSTI)

CALIFORNIA ENERGY DEMAND 2014­2024 FINAL FORECAST Volume 1: Statewide Electricity Demand in this report. #12;i ACKNOWLEDGEMENTS The demand forecast is the combined product of the hard work to the contributing authors listed previously, Mohsen Abrishami prepared the commercial sector forecast. Mehrzad

405

CALIFORNIA ENERGY DEMAND 20142024 REVISED FORECAST  

E-Print Network (OSTI)

CALIFORNIA ENERGY DEMAND 2014­2024 REVISED FORECAST Volume 1: Statewide Electricity Demand in this report. #12;i ACKNOWLEDGEMENTS The demand forecast is the combined product of the hard work listed previously, Mohsen Abrishami prepared the commercial sector forecast. Mehrzad Soltani Nia helped

406

REVISED CALIFORNIA ENERGY DEMAND FORECAST 20122022  

E-Print Network (OSTI)

REVISED CALIFORNIA ENERGY DEMAND FORECAST 20122022 Volume 2: Electricity Demand by Utility ACKNOWLEDGEMENTS The staff demand forecast is the combined product of the hard work and expertise of numerous, Mohsen Abrishami prepared the commercial sector forecast. Mehrzad Soltani Nia helped prepare

407

REVISED CALIFORNIA ENERGY DEMAND FORECAST 20122022  

E-Print Network (OSTI)

REVISED CALIFORNIA ENERGY DEMAND FORECAST 20122022 Volume 1: Statewide Electricity Demand in this report. #12;i ACKNOWLEDGEMENTS The staff demand forecast is the combined product of the hard work listed previously, Mohsen Abrishami prepared the commercial sector forecast. Mehrzad Soltani Nia helped

408

FINAL STAFF FORECAST OF 2008 PEAK DEMAND  

E-Print Network (OSTI)

CALIFORNIA ENERGY COMMISSION FINAL STAFF FORECAST OF 2008 PEAK DEMAND STAFFREPORT June 2007 CEC-200 of the information in this paper. #12;Abstract This document describes staff's final forecast of 2008 peak demand demand forecasts for the respective territories of the state's three investor-owned utilities (IOUs

409

STAFF FORECAST: AVERAGE RETAIL ELECTRICITY PRICES  

E-Print Network (OSTI)

CALIFORNIA ENERGY COMMISSION STAFF FORECAST: AVERAGE RETAIL ELECTRICITY PRICES 2005 TO 2018 report, Staff Forecast: Retail Electricity Prices, 2005 to 2018, was prepared with contributions from the technical assistance provided by Greg Broeking of R.W. Beck, Inc. in preparing retail price forecasts

410

Blue Chip Consensus US GDP Forecast  

E-Print Network (OSTI)

and metro area from Moodys Economy.com Equivalent to US-level Gross Domestic Product ? The GMP forecasts have a large impact on the peak load forecasts Rule of thumb: 1 % growth in RTO GMP ? approx. 1,000 MW growth in forecast RTO peak load

James F. Wilson

2007-01-01T23:59:59.000Z

411

5, 183218, 2008 A rainfall forecast  

E-Print Network (OSTI)

HESSD 5, 183­218, 2008 A rainfall forecast model using Artificial Neural Network N. Q. Hung et al An artificial neural network model for rainfall forecasting in Bangkok, Thailand N. Q. Hung, M. S. Babel, S Geosciences Union. 183 #12;HESSD 5, 183­218, 2008 A rainfall forecast model using Artificial Neural Network N

Paris-Sud XI, Université de

412

System Demonstration Multilingual Weather Forecast Generation System  

E-Print Network (OSTI)

System Demonstration Multilingual Weather Forecast Generation System Tianfang Yao DongmoZhang Qian (Multilingual Weather Forecasts Assistant) system will be demonstrated. It is developed to generate the multilingual text of the weather forecasts automatically. The raw data from the weather observation can be used

413

(1) Ensemble forecast calibration & (2) using reforecasts  

E-Print Network (OSTI)

1 (1) Ensemble forecast calibration & (2) using reforecasts Tom Hamill NOAA Earth System Research · Calibration: ; the statistical adjustment of the (ensemble) forecast ­ Rationale 1: Infer large-sample probabilities from small ensemble. ­ Rationale 2: Remove bias, increase forecast reliability while preserving

Hamill, Tom

414

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

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

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

415

The First Decade of Long-Lead U.S. Seasonal Forecasts  

Science Conference Proceedings (OSTI)

The first 10 yr (issued starting in mid-December 1994) of official, long-lead (out to 1 yr) U.S. 3-month mean temperature and precipitation forecasts are verified using a categorical skill score. Through aggregation of forecasts over overlapping ...

Robert E. Livezey; Marina M. Timofeyeva

2008-06-01T23:59:59.000Z

416

Comparing NWS PoP Forecasts to Third-Party Providers  

Science Conference Proceedings (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

417

The Australian Air Quality Forecasting System. Part I: Project Description and Early Outcomes  

Science Conference Proceedings (OSTI)

The Australian Air Quality Forecasting System (AAQFS) is the culmination of a 3-yr project to develop a numerical primitive equation system for generating high-resolution (15 km) short-term (2436 h) forecasts for the Australian coastal cities ...

M. E. Cope; G. D. Hess; S. Lee; K. Tory; M. Azzi; J. Carras; W. Lilley; P. C. Manins; P. Nelson; L. Ng; K. Puri; N. Wong; S. Walsh; M. Young

2004-05-01T23:59:59.000Z

418

Subtask 3.4 - Fischer - Tropsch Fuels Development  

SciTech Connect

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

419

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 of individual features are estimated. A time series analysis is used to forecast and can be used, for example, to forecast (1) notebook computer price at introduction, and (2) rate of price erosion for a notebook's life cycle. Results indicate that this approach can forecast the price of a notebook computer up to four months in advance of its introduction with an average error of under 10% and the rate of price erosion to within 10% of the price for seven months after introduction-the length of the typical life cycle of a notebook. Since all data are publicly available, this approach can be used to assist managerial decision making in the notebook computer industry, for example, in determining when and how to upgrade a model and when to introduce a new model.

Rutherford, Derek Paul

1997-01-01T23:59:59.000Z

420

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.

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
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421

GenForecast(26yr)(avg).PDF  

NLE Websites -- All DOE Office Websites (Extended Search)

SLCAIP Historical & Forecast Generation at Plant Total Range of Hydrology 0 2,000,000,000 4,000,000,000 6,000,000,000 8,000,000,000 10,000,000,000 12,000,000,000 1 9 7 0 1 9 7 2 1...

422

14 1 (2001.3)4 (Fault Tree Analysis)  

E-Print Network (OSTI)

Report 86-68300-PFS-000 Rev.4, AECL CANDU, May 1994. [2] R. Alur, C. Courcoubetis, and D. L. Dill. Model

Jee, Eunkyoung

423

NERSC Users Group Meeting October 3-4, 2005 Presentations  

NLE Websites -- All DOE Office Websites (Extended Search)

uncertainties on cosmological parameters. Science Driven Computing: NERSC's Five-Year Plan for 2005 - 2010 October 4, 2005 | Author(s): Horst Simon and Bill Kramer | Download...

424

How Do You Like Your Weather?: Using Weather Forecast Data to Improve Short-Term Load Forecasts  

Science Conference Proceedings (OSTI)

This document provides a quick overview of weather forecasts as a data issue in the development of electricity demand forecasts. These are three sections in this Brief: o reasons behind the rise in interest in using weather forecasts in electricity forecasting models, o an overview of what some utilities are doing to evaluate weather forecasts, and o a resource list of weather forecast providers.

2001-09-28T23:59:59.000Z

425

Methodology for Developing the REScheckTM Software through Version 4.4.3  

SciTech Connect

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 energy-related requirements for residential buildings (CABO 1992). The U.S. Department of Housing and Urban Development (HUD) and the U.S. Department of Agriculture (via Rural Economic and Community Development [RECD] [formerly Farmers Home Administration]) are required to establish standards for government-assisted housing that meet or exceed the requirements of the Council of American Building Officials Model Energy Code, 1992. CABO issued 1992, 1993, and 1995 editions of the MEC (CABO 1992, 1993, and 1995). Effective December 4, 1995, CABO assigned all rights and responsibilities for the MEC to the International Code Council (ICC). The first edition of the ICCs International Energy Conservation Code (ICC 1998) issued in 1998 therefore replaced the 1995 edition of the MEC. The 1998 IECC incorporates the provisions of the 1995 MEC and includes the technical content of the MEC as modified by approved changes from the 1995, 1996, and 1997 code development cycles. The ICC subsequently issued the 2000 edition of the IECC (ICC 1999). Many states and local jurisdictions have adopted one edition of the MEC or IECC as the basis for their energy code. In a Federal Register notice issued January 10, 2001 (FR Vol. 99, No. 7, page 1964), the U.S. Department of Energy (DOE) concluded that the 1998 and 2000 editions of the IECC improve energy efficiency over the 1995 MEC. DOE has previously issued notices that the 1993 and 1995 MEC also improved energy efficiency compared to the preceding editions. To help builders comply with the MEC and IECC requirements, and to help HUD, RECD, and state and local code officials enforce these code requirements, DOE tasked Pacific Northwest National Laboratory (PNNL) with developing the MECcheck compliance materials. In November 2002, MECcheck was renamed REScheck to better identify it as a residential code compliance tool. The MEC in MECcheck was outdated because it was taken from the Model Energy Code, which has been succeeded by the IECC. The RES in REScheck is also a better fit with the companion commercial product, COMcheck. The easy-to-use REScheck compliance materials include a compliance and enforcement manual for all the MEC and IECC requirements and three compliance approaches for meeting the codes thermal envelope requirements?prescriptive packages, software, and a trade-off worksheet (included in the compliance manual). The compliance materials can be used for single-family and low-rise multifamily dwellings. The materials allow building energy efficiency measures (such as insulation levels) to be traded off against each other, allowing a wide variety of building designs to comply with the code. This report explains the methodology used to develop Version 4.4.3 of the REScheck software developed for the 1992, 1993, and 1995 editions of the MEC, and the 1998, 2000, 2003, 2006, 2007, 2009, and 2012 editions of the IECC, and the 2006 edition of the International Residential Code (IRC). Although some requirements contained in these codes have changed, the methodology used to develop the REScheck software for these editions is similar. Beginning with REScheck Version 4.4.0, support for 1992, 1993, and 1995 MEC and the 1998 IECC is no longer included, but those sections remain in this document for reference purposes. REScheck assists builders in meeting the most complicated part of the code?the building envelope Uo-, U-, and R-value requirements in Section 502 of the code. This document details the calculations and assumptions underlying the treatment of the code requirements in REScheck, with a major emphasis on the building envelope requirements.

Bartlett, Rosemarie; Connell, Linda M.; Gowri, Krishnan; Lucas, Robert G.; Schultz, Robert W.; Taylor, Zachary T.; Wiberg, John D.

2012-09-01T23:59:59.000Z

426

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

SciTech Connect

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

427

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

SciTech Connect

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

428

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

429

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

NLE Websites -- All DOE Office Websites (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

430

Performance of rearrangeable nonblocking 44 switch matrices on LiNbO3  

Science Conference Proceedings (OSTI)

The design, fabrication, and characterization of rearrangeable nonblocking 44 switch matrices and the development of a novel ITO (indium-tin-oxide)/Au multilayer electrode that leads to low switching voltages and low DC drift is reported. ...

D. Hoffman; H. Heidrich; H. Ahlers; M. K. Fluge

2006-09-01T23:59:59.000Z

431

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

432

Section 4.3 of the In Search of Truth Project Environmental Assessment  

NLE Websites -- All DOE Office Websites (Extended Search)

4: ENVIRONMENTAL CONSEQUENCES AND MITIGATION MEASURES 4.3 Hydrology and Geothermal Resources SIGNIFICANCE CRITERIA The proposed action would be considered to have a significant...

433

NERSC Users Group Meeting October 3-4, 2005 Presentations  

NLE Websites -- All DOE Office Websites (Extended Search)

File: Environment.ppt | ppt | 801 KB Science Driven Computing: NERSC's Five-Year Plan for 2005 - 2010 October 4, 2005 | Author(s): Horst Simon and Bill Kramer | Download...

434

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 >>

435

Synthesis of anti-and syn-Diol Epoxides of trans-3,4-Dihydroxy-3,4-dihydrobenzo[ghi]fluoranthene  

E-Print Network (OSTI)

, England, 1991. (2) Szeliga, J.; Dipple. A. Chem. Res. Toxicol. 1998, 11, 1-11. (3) Dipple, A.; Khan, Q. A the preparation of anti- and syn-3,4-dihydroxy-5,5a-epoxy-3,4,5,5a-tetrahydrobenzo- [ghi]fluoranthene (2 and 3-region PAHs but are general to those derived from other nonplanar PAHs, such as 7,12-dimethylbenz[a

Cho, Bongsup P.

436

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

Science Conference Proceedings (OSTI)

An experiment has been designed to evaluate and compare precipitation forecasts from a 5-member, 4-km grid-spacing (ENS4) and a 15-member, 20-km grid-spacing (ENS20) Weather Research and Forecasting (WRF) model ensemble, which cover a similar ...

Adam J. Clark; William A. Gallus Jr.; Ming Xue; Fanyou Kong

2009-08-01T23:59:59.000Z

437

3D and 4D Characterization and Evaluation  

Science Conference Proceedings (OSTI)

Aug 8, 2013 ... Here, we present a novel X-ray microscope featuring high detector resolution, which enables 3D imaging of materials with micron-scale...

438

Essays on macroeconomics and forecasting  

E-Print Network (OSTI)

This dissertation consists of three essays. Chapter II uses the method of structural factor analysis to study the effects of monetary policy on key macroeconomic variables in a data rich environment. I propose two structural factor models. One is the structural factor augmented vector autoregressive (SFAVAR) model and the other is the structural factor vector autoregressive (SFVAR) model. Compared to the traditional vector autogression (VAR) model, both models incorporate far more information from hundreds of data series, series that can be and are monitored by the Central Bank. Moreover, the factors used are structurally meaningful, a feature that adds to the understanding of the â??black boxâ? of the monetary transmission mechanism. Both models generate qualitatively reasonable impulse response functions. Using the SFVAR model, both the â??price puzzleâ? and the â??liquidity puzzleâ? are eliminated. Chapter III employs the method of structural factor analysis to conduct a forecasting exercise in a data rich environment. I simulate out-of-sample real time forecasting using a structural dynamic factor forecasting model and its variations. I use several structural factors to summarize the information from a large set of candidate 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 forecasting models compared to alternatives that include univariate autoregression (AR) model, the VAR model and Stock and Watsonâ??s (2002) models, especially when forecasting real variables. In chapter IV, we measure U.S. technology shocks by implementing a dual approach, which is based on more reliable price data instead of aggregate quantity data. By doing so, we find the relative volatility of technology shocks and the correlation between output fluctuation and technology shocks to be much smaller than those revealed in most real-business-cycle (RBC) studies. Our results support the findings of Burnside, Eichenbaum and Rebelo (1996), who showed that the correlation between technology shocks and output is exaggerated in the RBC literature. This suggests that one should examine other sources of fluctuations for a better understanding of the business cycle phenomena.

Liu, Dandan

2005-08-01T23:59:59.000Z

439

Forecasting broadband Internet adoption on trains in Belgium  

Science Conference Proceedings (OSTI)

Thanks to the massive success of mobile access devices such as netbooks or Apple's iPhone 3G, Internet on the move has become one of the prominent features of today's information society. With the emergence of wireless and mobile communication networks, ... Keywords: Railroad industry, Segmentation forecasting, User-centric research, Wireless Internet services

Tom Evens; Dimitri Schuurman; Lieven De Marez; Gino Verleye

2010-02-01T23:59:59.000Z

440

Knowledge representation in an expert storm forecasting system  

Science Conference Proceedings (OSTI)

METEOR is a rule- and frame-based system for short-term (3-18 hour) severe convective storm forecasting. This task requires a framework that supports inferences about the temporal and spatial features of meteorological changes. Initial predictions are ...

Renee Elio; Johannes De Haan

1985-08-01T23:59:59.000Z

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.


441

Operational pollution forecast for the region of Bulgaria  

Science Conference Proceedings (OSTI)

An operational prototype of the Integrated Bulgarian Chemical Weather Forecasting and Information System is presented. This version of the system is limited to relatively low resolution (10 km) but covers all Bulgaria. It is based on the US EPA Models-3 System (MM5

D. Syrakov; I. Etropolska; M. Prodanova; K. Ganev; N. Miloshev; K. Slavov

2012-01-01T23:59:59.000Z

442

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

443

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.

444

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 >>

445

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

446

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

447

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

448

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):

449

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

450

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

451

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

452

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"

453

Data:1e9760a2-1647-4eba-a3b5-4a95bc5b30e3 | Open Energy Information  

Open Energy Info (EERE)

a2-1647-4eba-a3b5-4a95bc5b30e3 No revision has been approved for this page. It is currently under review by our subject matter experts. Jump to: navigation, search Loading... 1....

454

Remarks on Northern Hemisphere Forecast Error Sensitivity from 1996 to 2000  

Science Conference Proceedings (OSTI)

The sensitivity of 2-day Northern Hemisphere extratropical forecast errors to changes in initial conditions, computed daily over a 4-yr period, is documented. The sensitivity is computed using the (dry) adjoint of the Navy Operational Global ...

C. A. Reynolds; R. Gelaro

2001-08-01T23:59:59.000Z

455

The Sydney 2000 World Weather Research Programme Forecast Demonstration Project: Overview and Current Status  

Science Conference Proceedings (OSTI)

The first World Weather Research Programme (WWRP) Forecast Demonstration Project (FDP), with a focus on nowcasting, was conducted in Sydney, Australia, from 4 September to 21 November 2000 during a period associated with the Sydney 2000 Olympic ...

T. Keenan; P. Joe; J. Wilson; C. Collier; B. Golding; D. Burgess; P. May; C. Pierce; J. Bally; A. Crook; A. Seed; D. Sills; L. Berry; R. Potts; I. Bell; N. Fox; E. Ebert; M. Eilts; K. O'Loughlin; R. Webb; R. Carbone; K. Browning; R. Roberts; C. Mueller

2003-08-01T23:59:59.000Z

456

Tetrahedral-Network Organo-Zincophosphates: Syntheses and Structures of (N(2)C(6)H(14)).Zn(HPO(4))(2).H(2)O, H(3)N(CH(2))(3)NH(3).Zn(2)(HPO(4))(3) and (N(2)C(6)H(14)).Zn(3)(HPO(4))(4)  

SciTech Connect

The solution-mediated syntheses and single crystal structures of (N2C6H14)Zn(HPO4)2H2O (I), H3N(CH2)3NH3Zn2(HPO4)3 (II), and (N2C6H14)Zn3(HPO4)4 (III) are described. These phases contain vertex-sharing Zn04 and HP04 tetrahedra, accompanied by doubly- protonated organic cations. Despite their formal chemical relationship, as members of the series of tZnn(HP04)n+1 (t= template, n = 1-3), these phases adopt fimdamentally different crystal structures, as one-dimensional, two-dimensional, and three-dimensional Zn04/HP04 networks, for I, II, and III respectively. Similarities and differences to some other zinc phosphates are briefly discussed. Crystal data: (N2C6H14)Zn(HP04)2H20, Mr = 389.54, monoclinic, space group P21/n (No. 14), a = 9.864 (4) , b = 8.679 (4) , c = 15.780 (3) , ? = 106.86 (2), V= 1294.2 (8) 3, Z = 4, R(F) = 4.58%, RW(F) = 5.28% [1055 reflections with I >3?(I)]. H3N(CH2)3NH3Zn2(HP04)3, Mr = 494.84, monoclinic, space group P21/c (No. 14), a= 8.593 (2), b= 9.602 (2), c= 17.001 (3), ?= 93.571 (8), V = 1400.0 (5) 3, Z = 4, R(F) = 4.09%, RW(F) = 4.81% [2794 reflections with I > 3? (I)]. (N2C6H14)Zn3(HP04)4, Mr= 694.25, monoclinic, space group P21/n (No. 14), a = 9.535 (2) , b = 23.246 (4), c= 9.587 (2), ?= 117.74 (2), V= 1880.8 (8) 3, Z = 4, R(F) = 3.23%, RW(F) = 3.89% [4255 reflections with 1> 3?(I)].

Chavez, Alejandra V.; Hannooman, Lakshitha; Harrison, William T.A.; Nenoff, Tina M.

1999-05-07T23:59:59.000Z

457

NERSC Users Group Meeting October 3-4, 2005 Presentations  

NLE Websites -- All DOE Office Websites (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,

458

Co3O4/reduced Graphene Oxide Nanocomposites for High ...  

Science Conference Proceedings (OSTI)

A21: First-Principles Molecular Dynamics Simulation of Chemical ... A3: Investigation on Co-combustion Kinetics of Anthracite Coal and Biomass Char by ... Lithium Redox Process for Thermochemical Water-Splitting as Energy Conversion.

459

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

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

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...

460

Compositions of alkyl 4-[o-(substituted amino)phenyl]-3-thioallophanates and methods of use  

DOE Patents (OSTI)

Various alkyl 4-[o-(substituted amino)phenyl]-3-thioallophanates are useful as fungicides and mite ovicides. An exemplary specie is methyl 4-(o-butyramidophenyl)-3-thioallophanate.

Adams, Charles De Witt (Newark, DE)

1977-03-01T23:59:59.000Z

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,
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We encourage you to perform a real-time search of NLEBeta
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461

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"

462

Critical Operating Constraint Forecasting (COCF)  

Science Conference Proceedings (OSTI)

This document represents the progress report and Task 1 letter report of the California Institute for Energy and Environment (CIEE) contract funded by the California Energy Commission (CEC), Critical Operating Constraint Forecasting (COCF) for California Independent System Operator (CAISO) Planning Phase. Task 1 was to accomplish the following items: Collect data from CAISO to set up the WECC power flow base case representing the CAISO system in the summer of 2006 Run TRACE for maximizing California Impo...

2006-06-30T23:59:59.000Z

463

Forecasting Techniques The Use of Hourly Model-Generated Soundings to Forecast Mesoscale Phenomena. Part I: Initial Assessment in Forecasting Warm-Season Phenomena  

Science Conference Proceedings (OSTI)

Since late 1995, NCEP has made available to forecasters hourly model guidance at selected sites in the form of vertical profiles of various forecast fields. These profiles provide forecasters with increased temporal resolution and greater ...

Robert E. Hart; Gregory S. Forbes; Richard H. Grumm

1998-12-01T23:59:59.000Z

464

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

465

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):

466

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

467

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)

468

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:

469

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

470

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.

471

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

472

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

473

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

474

4-cyano-3-hydroxybutanoyl hydrazines, derivatives and process for the preparation thereof  

DOE Patents (OSTI)

Novel 4-cyano-3-hydroxybutanoyl hydrazides (10), particularly R-chiral intermediates are described. The intermediates are useful in preparing (R)-3-hydroxy-4-trimethylaminobutyric acid (L-carnitine) and R-4-amino-3-hydroxybutyric acid (GABOB) and chiral chemical intermediates which are medically useful.

Hollingsworth, Rawle I. (Haslett, MI); Wang, Guijun (East Lansing, MI)

2000-01-01T23:59:59.000Z

475

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.

476

Meese-Rogoff redux: Micro-based exchange-rate forecasting  

E-Print Network (OSTI)

Johnatban. "Exchange Rate Forecasting: The Errors We'veBased Exchange-Rate Forecasting By MARTIN D . D . EVANS ANDon longer-horizon forecasting, we examine forecasting over

Evans, MDD; Lyons, Richard K.

2005-01-01T23:59:59.000Z

477

The Past as Prologue? Business Cycles and Forecasting since the 1960s  

E-Print Network (OSTI)

Forecasters, Journal of Forecasting, Vol. 28, No. 2, Mar,of Macroeconomic Forecasting Journal of Macroeconomics,of Federal Reserve Forecasting, Journal of Macroeconomics,

Bardhan, Ashok Deo; Hicks, Daniel; Kroll, Cynthia A.; Yu, Tiffany

2010-01-01T23:59:59.000Z

478

Material World: Forecasting Household Appliance Ownership in a Growing Global Economy  

E-Print Network (OSTI)

and V. Letschert (2005). Forecasting Electricity Demand in8364 Material World: Forecasting Household ApplianceMcNeil, 2008). Forecasting Diffusion Forecasting Variables

Letschert, Virginie

2010-01-01T23:59:59.000Z

479

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

480

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

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.


481

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:

482

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

483

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)

484

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:

485

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 >>

486

!"#$"%&'(%&)*(+#"%,-&./0$1*#12*3*$-&4!)+.5&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&6$$7899  

E-Print Network (OSTI)

&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&6$$7899:::;(%#3;,(9=2"09&& & ?& & Bioenergy Sustainability and Land-UseChangeReport Oak RidgeNational Laboratory November 2010 Invited crop residues and energy crops. November 18: Keith Kline gave a presentation on bioenergy, land-use and the Global Sustainable Bioenergy initiative at the monthly American Institute of Chemical Engineers (AICh

487

4D Characterization of Metals by 3DXRD  

Science Conference Proceedings (OSTI)

The status of 3DXRD microscopy is reviewed, with a special view to applications in metallurgy. Various approaches are compared in terms of performance. In addition several recent advances are presented, such as a 3D grain map with an unprecedented spatial resolution of 500 nm, first results from the commissioning of a novel 3D detector set-up and a validation of the box-scan procedure. Three-Dimensional X-Ray Diffraction (3DXRD) is a novel technique, aiming at a fast and nondestructive characterization of the individual crystalline elements within mm-sized polycrystalline specimens. It is based on two principles: the use of highly penetrating hard X-rays from a synchrotron source (x-ray energies in the range 20-100 keV) and the application of 'tomographic' reconstruction algorithms for the analysis of the diffraction data. In favourable cases, the position, morphology, phase, and crystallographic orientation can be derived for hundreds of elements simultaneously as well as their elastic strains. Furthermore, the dynamics of the individual elements can be monitored during typical processes such as deformation or annealing. Hence, for the first time information on the interaction between elements can be obtained directly. The provision of such data is vital in order to extend beyond state-of-art structural models.

Poulsen, H.F.; Ludwig, W.; Lauridsen, E.M.; Schmidt, S.; Pantleon, W.; Olsen, U.L.; Oddershede, J.; Reischig, P.; Lyckegaard, A.; Wright, J.; Vaughan, G. (Risoe); (ESRF)

2011-09-06T23:59:59.000Z

488

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 >>

489

Structure and optical properties of a noncentrosymmetric borate RbSr{sub 4}(BO{sub 3}){sub 3}  

SciTech Connect

A new noncentrosymmetric borate, RbSr{sub 4}(BO{sub 3}){sub 3} (abbreviated as RSBO), has been grown from Rb{sub 2}O--B{sub 2}O{sub 3}--RbF flux and its crystal structure was determined by single crystal x-ray diffraction. It crystallizes in space group Ama2 with cell parameters of a=11.128(10) A, b=12.155(15) A, c=6.952(7) A, Z=4. The basic structural units are isolated planar BO{sub 3} groups. Second harmonic generation (SHG) test of the title compound by the Kurtz-Perry method shows that RSBO can be phase matchable with an effective SHG coefficient about two-thirds as large as that of KH{sub 2}PO{sub 4} (KDP). Finally, based on the anionic group approximation, the optical properties of the title compound are compared with those of the structure-related apatite-like compounds with the formula 'A{sub 5}(TO{sub n}){sub 3}X'. - Graphical abstract: RbSr{sub 4}(BO{sub 3}){sub 3} and some other borate NLO compounds, namely Ca{sub 5}(BO{sub 3}){sub 3}F RCa{sub 4}(BO{sub 3}){sub 3}O (R=Y or Gd) and Na{sub 3}La{sub 2}(BO{sub 3}){sub 3} can be viewed as the derivatives of apatite. They have similar formula composed of five cations and three anion groups (we call them 5/3 structures). The detailed SHG coefficients and optical properties of the apatite-like NLO crystals were compared and summarized. Highlights: Black-Right-Pointing-Pointer A new noncentrosymmetric borate RbSr{sub 4}(BO{sub 3}){sub 3} was grown from flux. Black-Right-Pointing-Pointer The RbSr{sub 4}(BO{sub 3}){sub 3} can be viewed as a derivative of the apatite-like structure. Black-Right-Pointing-Pointer The structure and its relationship to the optical properties of RbSr{sub 4}(BO{sub 3}){sub 3} are compared with other NLO crystals with apatite-like structures. Black-Right-Pointing-Pointer The basic structural units are the planar BO{sub 3} groups in the structure. Black-Right-Pointing-Pointer Second harmonic generation (SHG) test shows that RbSr{sub 4}(BO{sub 3}){sub 3} can be phase matchable with an effective SHG coefficient about two-thirds as large as that of KH{sub 2}PO{sub 4}.

Xia, M.J. [Beijing Center for Crystal Research and Development, Key Laboratory of Functional Crystals and Laser Technology, Technical Institute of Physics and Chemistry, Chinese Academy of Sciences, Beijing 100190 (China); Li, R.K., E-mail: rkli@mail.ipc.ac.cn [Beijing Center for Crystal Research and Development, Key Laboratory of Functional Crystals and Laser Technology, Technical Institute of Physics and Chemistry, Chinese Academy of Sciences, Beijing 100190 (China)

2013-01-15T23:59:59.000Z

490

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:

491

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):

492

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

493

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 >>

494

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 >>

495

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

496

3-4-10_Final_Testimony_(BPA)_(Wright).pdf  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

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.

497

Mathematical and computer modelling reports: Modeling and forecasting energy markets with the intermediate future forecasting system  

Science Conference Proceedings (OSTI)

This paper describes the Intermediate Future Forecasting System (IFFS), which is the model used to forecast integrated energy markets by the U.S. Energy Information Administration. The model contains representations of supply and demand for all of the ...

Frederic H. Murphy; John J. Conti; Susan H. Shaw; Reginald Sanders

1989-09-01T23:59:59.000Z

498

BMA Probabilistic Quantitative Precipitation Forecasting over the Huaihe Basin Using TIGGE Multi-model Ensemble Forecasts  

Science Conference Proceedings (OSTI)

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

Jianguo Liu; Zhenghui Xie

499

Using National Air Quality Forecast Guidance to Develop Local Air Quality Index Forecasts  

Science Conference Proceedings (OSTI)

The National Air Quality Forecast Capability (NAQFC) currently provides next-day forecasts of ozone concentrations over the contiguous United States. It was developed collaboratively by NOAA and Environmental Protection Agency (EPA) in order to ...

Brian Eder; Daiwen Kang; S. Trivikrama Rao; Rohit Mathur; Shaocai Yu; Tanya Otte; Ken Schere; Richard Wayland; Scott Jackson; Paula Davidson; Jeff McQueen; George Bridgers

2010-03-01T23:59:59.000Z

500

Role of Retrospective Forecasts of GCMs Forced with Persisted SST Anomalies in Operational Streamflow Forecasts Development  

Science Conference Proceedings (OSTI)

Seasonal streamflow forecasts contingent on climate information are essential for water resources planning and management as well as for setting up contingency measures during extreme years. In this study, operational streamflow forecasts are ...

A. Sankarasubramanian; Upmanu Lall; Susan Espinueva

2008-04-01T23:59:59.000Z