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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

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

3

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

4

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

E-Print Network [OSTI]

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

Smith, Leonard A

5

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

E-Print Network [OSTI]

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

McMaster University

6

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

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

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

7

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

E-Print Network [OSTI]

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

Gray, William

8

2009 CAPS Spring Forecast Program Plan  

E-Print Network [OSTI]

package. · Two 18 UTC update forecasts on demand basis, with the same domain and configuration, running2009 CAPS Spring Forecast Experiment Program Plan April 20, 2009 #12;2 Table of Content 1. Overview .......................................................................................................4 3. Forecast System Configuration

Droegemeier, Kelvin K.

9

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

E-Print Network [OSTI]

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

Crambes, Christophe

10

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

E-Print Network [OSTI]

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

Navon, Michael

11

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

E-Print Network [OSTI]

with these two-week forecasts is the Accumulated Cyclone Energy (ACE) index, which is defined to be all This is the second year that we have issued shorter-term forecasts of tropical cyclone activity starting in early such as named storms and hurricanes. We issue forecasts for ACE using three categories as defined in Table 1

Gray, William

12

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

13

Solar forecasting review  

E-Print Network [OSTI]

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

Inman, Richard Headen

2012-01-01T23:59:59.000Z

14

4B.3 The Sounding Analog Retrieval System (SARS) Ryan Jewell1  

E-Print Network [OSTI]

that are determined from a calibration process. For severe hail, SARS has been designed to forecast the probability4B.3 The Sounding Analog Retrieval System (SARS) Ryan Jewell1 Storm Prediction Center, Norman, OK 1 System (SARS) is a forecasting algorithm that uses sounding derived parameters to find historical severe

15

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

16

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

17

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

18

Operational hydro-meteorological warning and real-time flood forecasting:the Piemonte region case study Hydrology and Earth System Sciences, 9(4), 457466 (2005) EGU  

E-Print Network [OSTI]

Operational hydro-meteorological warning and real-time flood forecasting:the Piemonte region case study 457 Hydrology and Earth System Sciences, 9(4), 457466 (2005) © EGU Operational hydro forecasting system in the context of the Piemonte Regions hydro-meteorological operational alert procedure

Paris-Sud XI, Université de

19

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

SciTech Connect (OSTI)

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

Sezgen, O.; Koomey, J.G.

1995-12-01T23:59:59.000Z

20

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

SciTech Connect (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

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

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

SciTech Connect (OSTI)

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

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

1995-12-01T23:59:59.000Z

22

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

DOE Patents [OSTI]

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

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

2003-04-22T23:59:59.000Z

23

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

E-Print Network [OSTI]

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

Menut, Laurent

24

TRAVEL DEMAND AND RELIABLE FORECASTS  

E-Print Network [OSTI]

TRAVEL DEMAND AND RELIABLE FORECASTS FOR TRANSIT MARK FILIPI, AICP PTP 23rd Annual Transportation transportation projects § Develop and maintain Regional Travel Demand Model § Develop forecast socio in cooperative review during all phases of travel demand forecasting 4 #12;Cooperative Review Should Include

Minnesota, University of

25

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

26

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

27

CALIFORNIA ENERGY DEMAND 2006-2016 STAFF ENERGY DEMAND FORECAST  

E-Print Network [OSTI]

CALIFORNIA ENERGY COMMISSION CALIFORNIA ENERGY DEMAND 2006-2016 STAFF ENERGY DEMAND FORECAST Demand Forecast report is the product of the efforts of many current and former California Energy-2 Demand Forecast Disaggregation......................................................1-4 Statewide

28

BEAMLINE 4-3  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth (AOD)ProductssondeadjustsondeadjustAboutScience Program CumulusA t i o nLiquids Reserve2015 BCPthe24-3 CURRENT

29

Solar Forecasting  

Broader source: Energy.gov [DOE]

On December 7, 2012,DOE announced $8 million to fund two solar projects that are helping utilities and grid operators better forecast when, where, and how much solar power will be produced at U.S....

30

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

31

Ensemble Forecast of Analyses With Uncertainty Estimation  

E-Print Network [OSTI]

Ensemble Forecast of Analyses With Uncertainty Estimation Vivien Mallet1,2, Gilles Stoltz3 2012 Mallet, Stoltz, Zhuk, Nakonechniy Ensemble Forecast of Analyses November 2012 1 / 14 hal-00947755,version1-21Feb2014 #12;Objective To produce the best forecast of a model state using a data assimilation

Boyer, Edmond

32

Load forecast and treatment of conservation  

E-Print Network [OSTI]

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

33

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

34

Development and testing of improved statistical wind power forecasting methods.  

SciTech Connect (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

35

Beamline 1.4.3  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth (AOD)ProductssondeadjustsondeadjustAboutScience ProgramBackground High theBeamline 1.4.3 Print FTIR1.4.3 Print

36

Beamline 1.4.3  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth (AOD)ProductssondeadjustsondeadjustAboutScience ProgramBackground High theBeamline 1.4.3 Print FTIR1.4.3

37

Beamline 1.4.3  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth (AOD)ProductssondeadjustsondeadjustAboutScience ProgramBackground High theBeamline 1.4.3 PrintBeamline 1.4.3

38

Beamline 1.4.3  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth (AOD)ProductssondeadjustsondeadjustAboutScience ProgramBackground High theBeamline 1.4.3Beamline 1.4.3

39

Beamline 1.4.3  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth (AOD)ProductssondeadjustsondeadjustAboutScience ProgramBackground High theBeamline 1.4.3Beamline 1.4.33 Print3

40

> 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 and Sunshine Coast. FURTHER INFORMATION : www.bom.gov.au/NexGenFWS © Commonwealth of Australia, 2013 Links

Greenslade, Diana

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

March 4 2012 Criterion 3  

E-Print Network [OSTI]

Indiana University standards for international education are met by our programs abroad. Additional1 March 4 2012 Criterion 3 Student Learning and Effective Teaching The organization of International Affairs is responsible for student learning around the world and works with faculty to assure

Zhou, Yaoqi

42

Beamline 1.4.3  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth (AOD)ProductssondeadjustsondeadjustAboutScience ProgramBackground High theBeamline 1.4.3Beamline 1.4.33 Print

43

Beamline 5.4.3  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth (AOD)ProductssondeadjustsondeadjustAboutScience ProgramBackground High2.0.15.3.2.2 Print2.25.4.1 Print5.4.1113

44

Beamline 5.4.3  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth (AOD)ProductssondeadjustsondeadjustAboutScience ProgramBackground High2.0.15.3.2.2 Print2.25.4.13 Print High3

45

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

DOE Patents [OSTI]

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

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

2002-01-01T23:59:59.000Z

46

Forecasted Opportunities  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth7-1D: Vegetation ProposedUsing ZirconiaPolicyFeasibilityFieldMinds" |beamtheFor yourForForecasted

47

3D N = 4 Gauge Theory Compactication  

E-Print Network [OSTI]

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

Bigelow, Stephen

48

Solar forecasting review  

E-Print Network [OSTI]

and forecasting of solar radiation data: a review,forecasting of solar- radiation data, Solar Energy, vol.sequences of global solar radiation data for isolated sites:

Inman, Richard Headen

2012-01-01T23:59:59.000Z

49

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

50

Beamline 1.4.3  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth (AOD)ProductssondeadjustsondeadjustAboutScience ProgramBackground High theBeamline 1.4.3 Print FTIR

51

Beamline 1.4.3  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth (AOD)ProductssondeadjustsondeadjustAboutScience ProgramBackground High theBeamline 1.4.3 Print

52

Beamline 1.4.3  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth (AOD)ProductssondeadjustsondeadjustAboutScience ProgramBackground High theBeamline 1.4.3 PrintBeamline

53

Beamline 1.4.3  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth (AOD)ProductssondeadjustsondeadjustAboutScience ProgramBackground High theBeamline 1.4.3 PrintBeamlineBeamline

54

Beamline 1.4.3  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth (AOD)ProductssondeadjustsondeadjustAboutScience ProgramBackground High theBeamline 1.4.3

55

Beamline 4.0.3  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth (AOD)ProductssondeadjustsondeadjustAboutScience ProgramBackground High2.0.1 Print2.13 PrintBeamline 4.0.3

56

Beamline 5.4.3  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth (AOD)ProductssondeadjustsondeadjustAboutScience ProgramBackground High2.0.15.3.2.2 Print2.25.4.1

57

Beamline 5.4.3  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth (AOD)ProductssondeadjustsondeadjustAboutScience ProgramBackground High2.0.15.3.2.2 Print2.25.4.13 Print High

58

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

SciTech Connect (OSTI)

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

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

2014-04-30T23:59:59.000Z

59

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

SciTech Connect (OSTI)

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

60

> BUREAU HOME > AUSTRALIA > QUEENSLAND > FORECASTS DISTRICT FORECASTS  

E-Print Network [OSTI]

> BUREAU HOME > AUSTRALIA > QUEENSLAND > FORECASTS DISTRICT FORECASTS IMPROVEMENTS FOR QUEENSLAND across Australia From October 2013, new and improved district forecasts will be introduced in Queensland Protection times FURTHER INFORMATION : www.bom.gov.au/NexGenFWS © Commonwealth of Australia, 2013 PTO> Wind

Greenslade, Diana

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

Does Money Matter in Inflation Forecasting? JM Binner 1  

E-Print Network [OSTI]

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

Tino, Peter

62

FORECAST VERIFICATION OF EXTREMES: USE OF EXTREME VALUE THEORY  

E-Print Network [OSTI]

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

Katz, Richard

63

Gasoline price forecast to stay below 3 dollar a gallon in 2015  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"Click worksheet9,1,50022,3,,,,6,1,,781 2,328 2,683DieselValues shown for thePlantDiesel FuelGasoline

64

Online Forecast Combination for Dependent Heterogeneous Data  

E-Print Network [OSTI]

the single individual forecasts. Several studies have shown that combining forecasts can be a useful hedge against structural breaks, and forecast combinations are often more stable than single forecasts (e.g. Hendry and Clements, 2004, Stock and Watson, 2004... in expectations. Hence, we have the following. Corollary 4 Suppose maxt?T kl (Yt, hwt,Xti)kr ? A taking expectation on the left hand side, adding 2A ? T and setting ? = 0 in mT (?), i.e. TX t=1 E [lt (wt)? lt (ut...

Sancetta, Alessio

65

Using Wikipedia to forecast diseases  

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

Using Wikipedia to forecast diseases Using Wikipedia to forecast diseases Scientists can now monitor and forecast diseases around the globe more effectively by analyzing views of...

66

UHERO FORECAST PROJECT DECEMBER 5, 2014  

E-Print Network [OSTI]

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

67

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

SciTech Connect (OSTI)

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

68

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

E-Print Network [OSTI]

, 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....4.1 Earned Value Management ................................................... 14 2.4.2 CPM ...................................................................................... 20 2.4.3 Monte Carlo Simulation...

Kim, Byung Cheol

2008-10-10T23:59:59.000Z

69

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

70

Volume 69, Numbers 3&4 (Complete)  

E-Print Network [OSTI]

EVENTEENTH- ENTURY EWS FALL - WINTER 2011 Vol. 69 Nos. 3&4 Including THE NEO-LATIN NEWS Vol. 59, Nos. 3&4 Seventeenth-Century newS VOLUME 69, Nos. 3&4 FALL-WINTER, 2011...;#29;#24; ...................... #19; #4; Nicholas Kiessling, ed. #31;e Life of Anthony Wood In His Own Words. Review by #29;#23;#21;#28;#15;#23; #5;#28;#20;#29;#17;#16; .......................................................................... #19;#1;#18; Joan Briggs, ed., et al...

Dickson, Donald

2011-01-01T23:59:59.000Z

71

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

72

tablehc4.3.xls  

Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecemberSteam Coal Import CostsLiquids Reserve Class3a.86, 19988,5a.8, 19996,7.133.0

73

Beamline 1.4.3  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth (AOD)ProductssondeadjustsondeadjustAboutScience ProgramBackground High the cover:BatteryBeamclockThe GCPCC3

74

Beamline 4.0.3  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth (AOD)ProductssondeadjustsondeadjustAboutScience ProgramBackground High2.0.1 Print2.13 PrintBeamlineBeamline3

75

Beamline 1.4.3  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsruc DocumentationP-Series to someone6 M. Babzien, I. Ben-Zvi, P. StudyBeamBeamclock Print Beamlines3

76

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

E-Print Network [OSTI]

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

Paris-Sud XI, Université de

77

Volume 67, Numbers 3&4 (Complete)  

E-Print Network [OSTI]

EVEN- TEENTH- ENTURY EWS FALL - WINTER 2009 Vol. 67 Nos. 3&4 Including THE NEO-LATIN NEWS Vol. 57, Nos. 3&4 Seventeenth-Century newS VOLUME 67, Nos. 3&4 FALL-WINTER, 2009 SCN... ................................................................................. 138 John Kerrigan, Archipelagic English: Literature, History and Politics 1603-1707. Review by eugene d. hill ....................................................................... 142 Matthew Birchwood, Staging Islam in England: Drama and Culture...

Dickson, Donald

2009-01-01T23:59:59.000Z

78

Volume 68, Numbers 3 & 4 (Complete)  

E-Print Network [OSTI]

EVENTEENTH- ENTURY EWS FALL - WINTER 2010 Vol. 68 Nos. 3&4 Including THE NEO-LATIN NEWS Vol. 58, Nos. 3&4 Seventeenth-Century newS VOLUME 68, Nos. 3&4 FALL-WINTER, 2010 An official... .............................................................................. 144 Stephen B. Dobranski, A Variorum Commentary on the Poems of John Milton: Samson Agonistes. Review by reuben sanchez ................................... 149 Louis Schwartz, Milton and Maternal Mortality. Review by kathryn r. mcpherson...

Dickson, Donald

2010-01-01T23:59:59.000Z

79

Documentation of the Hourly Time Series NCEP Climate Forecast System Reanalysis  

E-Print Network [OSTI]

- 1 - Documentation of the Hourly Time Series from the NCEP Climate Forecast System Reanalysis: ------------------------------------------------------------------------------------------------------------ Initial condition 1 Jan 1979, 0Z Record 1: f00: forecast at first time step of 3 mins Record 2: f01: forecast (either averaged over 0 to 1 hour, or instantaneous at 1 hour) Record 3: f02: forecast (either

80

Measurement Traceability ISO 11137 Sect. 4.3.4  

E-Print Network [OSTI]

1 Measurement Traceability ISO 11137 Sect. 4.3.4: "Dosimetry used in the development, validation for the measurement. #12;2 Measurement Traceability ISO vocabulary 6.12: - the property of a result of a measurement in Measurement (1993) (ISO) Guide for Estimating Uncertainties in Dosimetry for Radiation Processing (ISO / ASTM

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

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

82

Solar Power Forecasting at UC San Diego Jan Kleissl, Dept of Mechanical & Aerospace Engineering, UCSD  

E-Print Network [OSTI]

show 2 cloud layers. Vaisala Fig. 4: Observed solar power output (black line) and simulation (Fig. 4). Tier 3: Power output forecast As cloud related solar radiation reductions are observed algorithm to determine actual expected solar power output at each PV array over the hour ahead. #12;

Fainman, Yeshaiahu

83

1 3 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]

) Photons Plus Ultrasound Imaging and Sensing 2007 Hot Topics Open Forum (2) (3) (4) 98 29 10 ESI 101 2 22 3. http://ctld.nthu.edu.tw/content/default/act/?id=45 4. 5. 1 6. 6 4 100 #12;1. ( ) 2. 10 8 3://www.drnh.gov.tw/Default_Chinese.aspx2+KL3cBk0aHvWLuQ== 2012 101 2 29 ( :http://oia.nthu.edu.tw/news.php?id=334&lang=big5) 2012 1 2

Huang, Haimei

84

Benchmarking of different approaches to forecast solar irradiance Elke Lorenz1, Wolfgang Traunmller2, Gerald Steinmaurer2, Christian Kurz3,  

E-Print Network [OSTI]

from photovoltaic systems is highly variable due to its dependence on meteorological conditions (model Output Statistics) by Meteomedia GmbH ECMWF* - 0.25°x 0.25° - 3 hours 4) Cener, Spain CENER Post with postprocessing 5) Ciemat, Spain HIRLAM-CI Bias correction AEMET-HIRLAMx - 0.2°x 0.2° - 1 hour 6) Meteotest

Heinemann, Detlev

85

3, 871898, 2007 Changes in C3/C4  

E-Print Network [OSTI]

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

Boyer, Edmond

86

Ozone ensemble forecast with machine learning Vivien Mallet,1,2  

E-Print Network [OSTI]

Ozone ensemble forecast with machine learning algorithms Vivien Mallet,1,2 Gilles Stoltz,3 forecasts. The latter rely on a multimodel ensemble built for ozone forecasting with the modeling system Europe in order to forecast ozone daily peaks and ozone hourly concentrations. On the basis of past

Paris-Sud XI, Université de

87

Volume 66, Numbers 3&4 (Complete)  

E-Print Network [OSTI]

Tyacke. Woodbridge, Suffolk: Boydell Press, 2006. xiv + 254 pp. + 1 illus. $85.00. Review by P. G. st a n w o o d , un i v e r s i t y o f Br i t i s h co l u m B i a . Nicholas Tyacke is well known to literary and church historians? and to all... EVENTEENTH- ENTURY EWS FALL - WINTER 2008 Vol. 66 Nos. 3&4 Including THE NEO-LATIN NEWS Vol. 56, Nos. 3&4 Se v e n t e e n t h -Ce n t u r y ne w S VOLUME 66, Nos. 3&4 FALL...

Dickson, Donald

2008-01-01T23:59:59.000Z

88

Volume 64, Issues 3&4 (Complete)  

E-Print Network [OSTI]

EVENTEENTH - ENTURY EWS FALL - WINTER 2006 Vol. 64 Nos. 3&4 Including THE NEO-LATIN NEWS Vol. 54, Nos. 3&4 SEVENTEENTH -CENTURY NEWS VOLUME 64, Nos. 3&4 FA L L -W IN T E R , 2006 SCN , an official organ of the Milton Society of America...-WINTER , 2006 REVIEWS Char les W.A. Prior, Defining the Jacobean Church: the Politics of Religious Contr oversy, 1603-1625. Review by GRAHAM PARRY .................. 1 5 1 James D. Tracy and Marguerite Ragnow, eds., Religion and the Early Modern State: V...

Dickson, Donald

2006-01-01T23:59:59.000Z

89

Volume 63, Numbers 3&4 (Complete)  

E-Print Network [OSTI]

EVENTEENTH- ENTURY EWS FALL - WINTER 2005 Vol. 63 Nos. 3&4 Including THE NEO-LATIN NEWS Vol. 53, Nos. 3&4 SEVENTEENTH-CENTURY NEWS VOLUME 63, Nos. 3&4 FALL-WINTER, 2005 SCN, an official organ of the Milton Society of America..., and especially for John Donne, who had become dean of St. Paul?s Cathedral in 1621. Jeanne Shami proposes to study the sermons of John Donne as an index of clerical conformity in her provocative new book, which helps enormously in the effort to locate Donne...

Dickson, Donald

2005-01-01T23:59:59.000Z

90

Volume 62, Numbers 3&4 (Complete)  

E-Print Network [OSTI]

EVENTEENTH- ENTURY EWS FALL - WINTER 2004 Vol. 62 Nos. 3&4 budleafswbudleafse Including THE NEO-LATIN NEWS Vol. 52, Nos. 3&4 SEVENTEENTH-CENTURY NEWS VOLUME 61, Nos. 1&2 SPRING-SUMMER, 2003 SCN, an official organ of the Milton Society..., The Bellicose Dove: Claude Brousson and Protestant Resistance to Louis XIV. Review by THOMAS WORCESTER ..........246 Brennan C. Pursell, The Winter King. Frederick V ... and the Coming of the Thirty Years? War .................................. MARK CHARLES...

Dickson, Donald

2004-01-01T23:59:59.000Z

91

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

92

An adaptive neural network approach to one-week ahead load forecasting  

SciTech Connect (OSTI)

A new neural network approach is applied to one-week ahead load forecasting. This approach uses a linear adaptive neuron or adaptive linear combiner called Adaline.'' An energy spectrum is used to analyze the periodic components in a load sequence. The load sequence mainly consists of three components: base load component, and low and high frequency load components. Each load component has a unique frequency range. Load decomposition is made for the load sequence using digital filters with different passband frequencies. After load decomposition, each load component can be forecasted by an Adaline. Each Adaline has an input sequence, an output sequence, and a desired response-signal sequence. It also has a set of adjustable parameters called the weight vector. In load forecasting, the weight vector is designed to make the output sequence, the forecasted load, follow the actual load sequence; it also has a minimized Least Mean Square error. This approach is useful in forecasting unit scheduling commitments. Mean absolute percentage errors of less than 3.4 percent are derived from five months of utility data, thus demonstrating the high degree of accuracy that can be obtained without dependence on weather forecasts.

Peng, T.M. (Pacific Gas and Electric Co., San Francisco, CA (United States)); Hubele, N.F.; Karady, G.G. (Arizona State Univ., Tempe, AZ (United States))

1993-08-01T23:59:59.000Z

93

3 DMC 1 -4 DMC 2 -  

E-Print Network [OSTI]

. 5. 8 1. 2. Modeling of Reactive Distillation Column 3. Simulation Results of RD system for DMC-phosgene process. [ 2-1 ] (Stoichiometric lines) [ 2-2 ] (Distillation lines) [ 2-3 ] [ 2-4 ] a + b 2c control PI control [ 8-15 ] Feed ratio control PI control [ 8-16 ] MPC #12;[ 8

Hong, Deog Ki

94

Technology Forecasting Scenario Development  

E-Print Network [OSTI]

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

95

Rainfall-River Forecasting  

E-Print Network [OSTI]

;2Rainfall-River Forecasting Joint Summit II NOAA Integrated Water Forecasting Program · Minimize losses due management and enhance America's coastal assets · Expand information for managing America's Water Resources, Precipitation and Water Quality Observations · USACE Reservoir Operation Information, Streamflow, Snowpack

US Army Corps of Engineers

96

Thermoelectric properties of polycrystalline In4Se3 and In4Te3  

SciTech Connect (OSTI)

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

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

2010-01-01T23:59:59.000Z

97

Volume 60, Numbers 3&4 (Complete)  

E-Print Network [OSTI]

EVENTEENTH- ENTURY EWS FALL - WINTER 2002 Vol. 60 Nos. 3&4 budleafswbudleafse Including THE NEO-LATIN NEWS Vol. 50, Nos. 3&4 SEVENTEENTH-CENTURY NEWS VOLUME 60, Nos. 1&2 SPRING-SUMMER, 2002 SCN, an official organ of the Milton Society.... The notes alone will amply reward any reader of German (403-44). Not every poem is glossed, however, for Leimberg has carefully selected what is in need of close read- ing, philological treatment, or metrical analysis. Some of the com- ments are brief...

Dickson, Donald

2002-01-01T23:59:59.000Z

98

S3 FFP Strategy Intro to Stakeholders  

E-Print Network [OSTI]

4. Support FY16 and FY17 budget planning (future goal) Use HTP Cutover period to.... 1. Seek CMU-Cutover period ("quiet phase" for S3 users) · Current forecast: complete by summer 2015 · HTP Mission (nearing. Forecast Summer 2015 measure #12;What does HTPC look like (today)? #12;Impact to S3 users? - cadence #12

Andrews, Peter B.

99

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

100

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

SciTech Connect (OSTI)

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

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

2007-06-01T23:59:59.000Z

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

Forecasting Distributions with Experts Advice  

E-Print Network [OSTI]

) is the probability forecast based on an arbitrary vector wE in the unit simplex, experts forecasts ?E , and model {p?} . Remark 2 In most cases, we can choose c = 1/?, implying in the result below that c? = 1. Example 3 The prediction function is a mixture... 0 = 1, and #IT (k) = tk+1 ? tk. Define ek ? E. Theorem 12 Under Conditions 1 and 7, R1,...,t (pW ) ? c? K? k=0 Rt(k),...,t(k+1)?1 ( p?(e(k)) ) + c ln (#E) ?c K? k=1 ln ut(k) (ek, ek?1)? c K? k=0 t(k+1)?2? s=t(k) ln (us+1 (ek, ek)) . 9 Remark 13...

Sancetta, Alessio

2006-03-14T23:59:59.000Z

102

Probabilistic manpower forecasting  

E-Print Network [OSTI]

PROBABILISTIC MANPOWER FORECASTING A Thesis JAMES FITZHUGH KOONCE Submitted to the Graduate College of the Texas ASSAM University in partial fulfillment of the requirements for the degree of MASTER OF SCIENCE May, 1966 Major Subject...: Computer Science and Statistics PROBABILISTIC MANPOWER FORECASTING A Thesis By JAMES FITZHUGH KOONCE Submitted to the Graduate College of the Texas A@M University in partial fulfillment of the requirements for the degree of MASTER OF SCIENCE May...

Koonce, James Fitzhugh

1966-01-01T23:59:59.000Z

103

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

104

0. PREMBULO 3 1. INTRODUCCIN 4  

E-Print Network [OSTI]

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

Escolano, Francisco

105

Price forecasting for U.S. cattle feeders: which technique to apply?  

E-Print Network [OSTI]

0. 04 0. 10 0. 08 0. 06 0. 06 0. 06 sAdvantaged forecast as it was compiled a calendar annual forecast with six months of actual data. All forecasts assume a January Benchmark. 27 Table 4 is the one-quarter ahead forecast comparison which... 12. 30 MAPE 0. 05 0. 05 0. 04 0. 04 0. 04 "All forecasts assume a July benchmark. 28 Table 5 is the two-quarter ahead forecast comparison which is for the second half of the calendar year (i. e. , July - December). The Futures Market...

Hicks, Geoff Cody

2012-06-07T23:59:59.000Z

106

1 1 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]

) China Taiwan, China 2. 3. 4. 99 11 9 0990081366 1 28 1000006234 98 7 7 09801097370 1 24 09901266760 100 in quantum dots and in initial steps in dye sensitized solar cells - examples of electron transfers 2. (1) 11

Huang, Haimei

107

A3-4 Table A3-1. Classification  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLasDelivered‰PNGExperience hands-onASTROPHYSICSHeResearchcharmA3-4 Table A3-1.

108

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

E-Print Network [OSTI]

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

109

ALT-3 Target & CMU Version 4  

SciTech Connect (OSTI)

The third Advance Liner Technology (ALT-3) experiment is the next in a long tradition of collaborations between LANL and RFNC/VNIIEF in high-explosive pulsed-power. Here a VNIIEF provided Disk Explosive Magnetic Generator (DEMG) will drive a LANL provided experimental load and diagnostic package. The objective of the experiment is to explore the use of a cylindrical liner-ontarget in tera-Pascal equation of state measurement. This presentation will discuss version 4 of the experimental target and central measuring unit (CMU) along with R & D already performed in fabrication of the target.

Griego, Jeffrey R [Los Alamos National Laboratory; Atchison, Walter L. [Los Alamos National Laboratory; Holtkamp, David [Los Alamos National Laboratory; Oro, David M. [Los Alamos National Laboratory; Reinovsky, Robert E. [Los Alamos National Laboratory; Rousculp, Christopher L. [Los Alamos National Laboratory; Tabaka, Leonard J. [Los Alamos National Laboratory

2012-06-11T23:59:59.000Z

110

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

111

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

112

Consensus Coal Production Forecast for  

E-Print Network [OSTI]

in the consensus forecast produced in 2006, primarily from the decreased demand as a result of the current nationalConsensus 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

Mohaghegh, Shahab

113

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

114

Demand Forecasting of New Products  

E-Print Network [OSTI]

Demand Forecasting of New Products Using Attribute Analysis Marina Kang A thesis submitted Abstract This thesis is a study into the demand forecasting of new products (also referred to as Stock upon currently employed new-SKU demand forecasting methods which involve the processing of large

Sun, Yu

115

Improving Inventory Control Using Forecasting  

E-Print Network [OSTI]

EMGT 835 FIELD PROJECT: Improving Inventory Control Using Forecasting By Juan Mario Balandran jmbg@hotmail.com Master of Science The University of Kansas Fall Semester, 2005 An EMGT Field Project report submitted...............................................................................................................................................10 Current Inventory Forecast Process ...........................................................................................10 Development of Alternative Forecast Process...

Balandran, Juan

2005-12-16T23:59:59.000Z

116

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

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLasDelivered energy consumption by sector Transportationdiesel fuel pricediesel fuel3,diesel fuel

117

2.1 Web . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3 2.2 . . . . . . . . . . . . . 4  

E-Print Network [OSTI]

17 #12;Web Web Web Web Navi #12;1 1 2 Web 3 2.1 Web.1 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12 4.2 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13 4.2.1 Web.2.3 . . . . . . . . . . . . . . . . . . . . . 15 4.3 Web . . . . . . . . . . . . . . . . . . . . . . . . . 15 4.3.1 Web

Tanaka, Jiro

118

Fuel Price Forecasts INTRODUCTION  

E-Print Network [OSTI]

Fuel Price Forecasts INTRODUCTION Fuel prices affect electricity planning in two primary ways and water heating, and other end-uses as well. Fuel prices also influence electricity supply and price because oil, coal, and natural gas are potential fuels for electricity generation. Natural gas

119

Solar forecasting review  

E-Print Network [OSTI]

Quantifying PV power output variability, Solar Energy, vol.each solar sen at node i, P(t) the total power output of theSolar Forecasting Historically, traditional power generation technologies such as fossil and nu- clear power which were designed to run in stable output

Inman, Richard Headen

2012-01-01T23:59:59.000Z

120

Weather Research and Forecasting Model 2.2 Documentation  

E-Print Network [OSTI]

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

Sadjadi, S. Masoud

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

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

E-Print Network [OSTI]

Forecasting and Resource Assessment, 1 st Edition, Editors:Forecasting and Resource Assessment, 1 st Edition, Editors:Forecasting and Resource Assessment, 1 st Ed.. Editor: Jan

Mathiesen, Patrick James

2013-01-01T23:59:59.000Z

122

Magnetism of NiMn2O4-Fe3O4 spinel interfaces  

E-Print Network [OSTI]

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

Nelson-Cheeseman, B. B.

2007-01-01T23:59:59.000Z

123

Vo l . 4 6 , N o s . 2 & 3 , 2 0 1 3 c o n t e n t s  

E-Print Network [OSTI]

potential f e a t u r e s 2 Multi-faceted forecasting 6 3D printing rises to the occasion 10 Tag-team R&D 12

Pennycook, Steve

124

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

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

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

125

2007 National Hurricane Center Forecast Verification Report James L. Franklin  

E-Print Network [OSTI]

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

126

PC3Q510NIP0F1/4 PC3Q510NIP0F1/4  

E-Print Network [OSTI]

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

Evans, Hal

127

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.

128

Forecasting oilfield economic performance  

SciTech Connect (OSTI)

This paper presents a general method for forecasting oilfield economic performance that integrates cost data with operational, reservoir, and financial information. Practices are developed for determining economic limits for an oil field and its components. The economic limits of marginal wells and the role of underground competition receive special attention. Also examined is the influence of oil prices on operating costs. Examples illustrate application of these concepts. Categorization of costs for historical tracking and projections is recommended.

Bradley, M.E. (Univ. of Chicago, IL (United States)); Wood, A.R.O. (BP Exploration, Anchorage, AK (United States))

1994-11-01T23:59:59.000Z

129

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

130

1 1 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]

:10-13:00 ( : ) SEVEN 2 24 ( ) 12:10-13:00 Angry Panda 2 25 ( ) 13:00-17:00 ( ) ANGRY BIRD 2 25 ( ) 19:00-21:30 18Univerz 60 1. http://accupass.com/go/solar 2. 2 22 ( )17:30 3. 115 4.Facebook http://www.facebook.com/AppUniverz 5. AppUniverz Google Roger 60 60 Sam 0988100287 appuniverz@gmail.com SIIR AppUniverz 2012 Solar 14

Huang, Haimei

131

P3DDT Peak Profile Analysis 4.1 Introduction  

E-Print Network [OSTI]

81 Chapter 4 P3DDT Peak Profile Analysis 4.1 Introduction The increasing molecular level complexity of paracrystal order are given in Ref. [36]. #12; 82 CHAPTER 4. P3DDT PEAK PROFILE ANALYSIS The well are the primary reasons why few have attempted apply­ ing this methodology to polymer systems. P3DDT is a polymer

Winokur, Michael

132

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

E-Print Network [OSTI]

Forecast System Southwest Florida Forecast Region Maps 0 20 4010 Miles #12;Bay-S Pinellas Bay-UPR Bay Bloom Operational Forecast System Southwest Florida Forecast Region Maps 0 5 102.5 Miles #12;Bay Harmful Algal Bloom Operational Forecast System Southwest Florida Forecast Region Maps 0 5 102.5 Miles #12

133

Price forecasting for notebook computers.  

E-Print Network [OSTI]

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

Rutherford, Derek Paul

2012-01-01T23:59:59.000Z

134

UWIG Forecasting Workshop -- Albany (Presentation)  

SciTech Connect (OSTI)

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

135

Arnold Schwarzenegger INTEGRATED FORECAST AND  

E-Print Network [OSTI]

Arnold Schwarzenegger Governor INTEGRATED FORECAST AND RESERVOIR MANAGEMENT (INFORM) FOR NORTHERN Manager Joseph O' Hagan Project Manager Kelly Birkinshaw Program Area Manager ENERGY-RELATED ENVIRONMENTAL

136

Conservation The Northwest ForecastThe Northwest Forecast  

E-Print Network [OSTI]

& Resources Creating Mr. Toad's Wild Ride for the PNW's Energy Efficiency InCreating Mr. Toad's Wild RideNorthwest Power and Conservation Council The Northwest ForecastThe Northwest Forecast Energy EfficiencyEnergy Efficiency Dominates ResourceDominates Resource DevelopmentDevelopment Tom EckmanTom Eckman

137

NATIONAL AND GLOBAL FORECASTS WEST VIRGINIA PROFILES AND FORECASTS  

E-Print Network [OSTI]

· NATIONAL AND GLOBAL FORECASTS · WEST VIRGINIA PROFILES AND FORECASTS · ENERGY · HEALTHCARE Research West Virginia University College of Business and Economics P.O. Box 6527, Morgantown, WV 26506 EXPERT OPINION PROVIDED BY Keith Burdette Cabinet Secretary West Virginia Department of Commerce

Mohaghegh, Shahab

138

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

139

STAFF FORECAST OF 2007 PEAK STAFFREPORT  

E-Print Network [OSTI]

CALIFORNIA ENERGY COMMISSION STAFF FORECAST OF 2007 PEAK DEMAND STAFFREPORT June 2006 CEC-400....................................................................... .................11 Tables Table 1: Revised versus September 2005 Peak Demand Forecast ......................... 2.............................................................................................. 10 #12;Introduction and Background This document describes staff's updated 2007 peak demand forecasts

140

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 estimates. Margaret Sheridan provided the residential forecast. Mitch Tian prepared the peak demand

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


141

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 provided estimates for demand response program impacts and contributed to the residential forecast. Mitch

142

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

2011-03-29T23:59:59.000Z

143

3D Hardware Canaries Sebastien Briais4  

E-Print Network [OSTI]

surround the whole target and protect its content from physical attacks. 3D ICs are rel- atively hard reporting pre- liminary implementation results on silicon), we introduce a "hardware canary". The ca- nary

144

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

E-Print Network [OSTI]

Forecast Introduction.................................................................................................................................... 6 Demand................................................................... 16 The Base Case Forecast

145

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

146

Regional-seasonal weather forecasting  

SciTech Connect (OSTI)

In the interest of allocating heating fuels optimally, the state-of-the-art for seasonal weather forecasting is reviewed. A model using an enormous data base of past weather data is contemplated to improve seasonal forecasts, but present skills do not make that practicable. 90 references. (PSB)

Abarbanel, H.; Foley, H.; MacDonald, G.; Rothaus, O.; Rudermann, M.; Vesecky, J.

1980-08-01T23:59:59.000Z

147

Atmospheric Lagrangian coherent structures considering unresolved turbulence and forecast uncertainty  

E-Print Network [OSTI]

Atmospheric Lagrangian coherent structures considering unresolved turbulence and forecast structures Stochastic trajectory Stochastic FTLE field Ensemble forecasting Uncertainty analysis a b s t r of the forecast FTLE fields is analyzed using ensemble forecasting. Unavoidable errors of the forecast velocity

Ross, Shane

148

Volume 71, Numbers 3 & 4 (complete)  

E-Print Network [OSTI]

himself. DuRocher?s essay likewise addresses the issue of debate/dialogue in P R, characterizing the poem as con?icting hermeneutics. DuRocher focuses speci#3;cally on Satan?s oer to Christ of worldly knowledge in Book #1;, particularly as the o... into intellectual history (#30;), reception history and presentism (#1;-#14;), and intentionalism vs. textualism (#14;- ), to hone in on his pithy application of the intentional thesis in ?#2;e Readings? subsection ( -#16;#12;). #2;e previously-published essays...

Dickson, Donald

2013-01-01T23:59:59.000Z

149

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

150

PostScript file created: April 17, 2005 Comparison of short-term and long-term earthquake forecast models  

E-Print Network [OSTI]

forecast models for southern California Agn`es Helmstetter1,3 , Yan Y. Kagan2 and David D. Jackson2 1, Columbia University, New York Abstract We consider the problem of forecasting earthquakes on two different time scales: years, and days. We evaluate some published forecast models on these time scales

Paris-Sud XI, Université de

151

Characterization for strontium titinateFe3O4 and TiNFe3O4 interfaces A. Lussiera)  

E-Print Network [OSTI]

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

Idzerda, Yves

152

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

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of48d9ff47edf3 No revision has beenba5b1d371 Nob97eb4d202d0 No8827bff3a72 No revision

153

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

154

Forecast Combination With Outlier Protection Gang Chenga,  

E-Print Network [OSTI]

Forecast Combination With Outlier Protection Gang Chenga, , Yuhong Yanga,1 a313 Ford Hall, 224 Church St SE, Minneapolis, MN 55455 Abstract Numerous forecast combination schemes with distinct on combining forecasts with minimizing the occurrence of forecast outliers in mind. An unnoticed phenomenon

Yuhong, Yang

155

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

156

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

157

Load Forecast For use in Resource Adequacy  

E-Print Network [OSTI]

-term Electricity Demand Forecasting System 1) Obtain Daily Regional Temperatures 6) Estimate Daily WeatherLoad 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

158

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 residential forecast. Mitch Tian prepared the peak demand forecast. Ravinderpal Vaid provided the projections

159

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 the residential forecast. Mitch Tian prepared the peak demand forecast. Ravinderpal Vaid provided the projections

160

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 Sheridan provided the residential forecast. Mitch Tian prepared the peak demand forecast. Ravinderpal Vaid

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

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

SciTech Connect (OSTI)

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

162

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

163

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

164

Revised Economic andRevised Economic and Demand ForecastsDemand Forecasts  

E-Print Network [OSTI]

Revised Economic andRevised Economic and Demand ForecastsDemand Forecasts April 14, 2009 Massoud,000 MW #12;6 Demand Forecasts Price Effect (prior to conservation) - 5,000 10,000 15,000 20,000 25,000 30 Jourabchi #12;2 Changes since the Last Draft ForecastChanges since the Last Draft Forecast Improved

165

1 2 1 3 4 3 2 2 5 7  

E-Print Network [OSTI]

for the site identification. èéæçëíæçëíéæèæêç 2.1 Material Data from a nuclear pressure vessel steel similar such as reactor pressure vessels depends on the material resistance against brittle fracture. Cleavage which orientation (L)). It should be noted that the CT specimens were tested without side­grooves. 2.3 Specimen

Paris-Sud XI, Université de

166

SSQ V3 N3_Final_4oct13.indd  

National Nuclear Security Administration (NNSA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "ofEarlyEnergyDepartmentNationalRestart of the Review of theOFFICE OF CIVIL to Mod 0099 datedMod0/%2A2 *3 *

167

Price forecasting for notebook computers  

E-Print Network [OSTI]

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

Rutherford, Derek Paul

2012-06-07T23:59:59.000Z

168

Arnold Schwarzenegger INTEGRATED FORECAST AND  

E-Print Network [OSTI]

Arnold Schwarzenegger Governor INTEGRATED FORECAST AND RESERVOIR MANAGEMENT (INFORM) FOR NORTHERN with primary contributions in the area of decision support for reservoir planning and management Commission Energy-Related Environmental Research Joseph O' Hagan Contract Manager Joseph O' Hagan Project

169

Arnold Schwarzenegger INTEGRATED FORECAST AND  

E-Print Network [OSTI]

Arnold Schwarzenegger Governor INTEGRATED FORECAST AND RESERVOIR MANAGEMENT (INFORM) FOR NORTHERN: California Energy Commission Energy-Related Environmental Research Joseph O' Hagan Contract Manager Joseph O' Hagan Project Manager Kelly Birkinshaw Program Area Manager ENERGY-RELATED ENVIRONMENTAL RESEARCH Martha

170

Value of Wind Power Forecasting  

SciTech Connect (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

171

CALIFORNIA ENERGY COMMISSION0 Annual Update to the Forecasted  

E-Print Network [OSTI]

Values in TWh forthe Year2022 Formula Mid Demand Forecast Renewable Net High Demand Forecast Renewable Net Low Demand Forecast Renewable Net #12;CALIFORNIA ENERGY COMMISSION5 Demand Forecast · Retail Sales Forecast from California Energy Demand 2012 2022(CED 2011), Adopted Forecast* ­ Form 1.1c · Demand Forecast

172

1 2 2 2 3 4 Zuttomo Zuttomo Zuttomo  

E-Print Network [OSTI]

Friends index screen. Zuttomo Zuttomo GPS 2. Zuttomo Zuttomo 2.1 Zuttomo Facebook Zuttomo Facebook Facebook Zuttomo Facebook Zuttomo 2.2 Zuttomo 2.3 Zuttomo 2.4 Zuttomo 1 2.5 ping ping ping 2 ping ping 3. Zuttomo iOS5 WebAPI 3 3.1 3.1.1 Facebook Facebook Facebook SDK SDK Facebook API Facebook Facebook #12

Tanaka, Jiro

173

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.

174

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

175

Development of a real-time quantitative hydrologic forecasting model  

E-Print Network [OSTI]

TIME ) Ftgure 2. porno(lal f loni daaaga reduction aada possible hy a gives ruspanav ties (acr rrata forecast Ivad (Iacl. The do(ted ll?es In tha figure gives wt essnple uhlclt ahoun that as tha fnrecast land tlaa Incrva. as frua 4 to l4 hours...

Bell, John Frank

1986-01-01T23:59:59.000Z

176

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

Office of Environmental Management (EM)

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

177

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

E-Print Network [OSTI]

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

Sakauchi, Tsuginosuke

2011-01-01T23:59:59.000Z

178

Degradation of 4,4{prime}-Dichlorobiphenyl, 3,3{prime}, 4,4{prime}-Tetrachlorobiphenyl, and 2,2{prime},4,4{prime},5,5{prime}-Hexachlorobiphenyl by the white rot fungus Phanerochaete chrysosporium  

SciTech Connect (OSTI)

The white rot fungus Phanerochaete chrysosporium has demonstrated abilities to degrade many xenobiotic chemicals. In this study, the degradation of three model polychlorinated biphenyl (PCB) congeners (4,4{prime}- dichlorobiphenyl [DCB], 3,3{prime},4,4{prime}-tetrachlorobiphenyl, and 2,2{prime},4,4{prime},5,5{prime}-hexachlorobiphenyl) by P. chrysosporium in liquid culture was examined. After 28 days of incubation, {sup 14}C partitioning analysis indicated extensive degradation of DCB, including 11% mineralization. In contrast, there was negligible mineralization of the tetrachloro- or hexachlorobiphenyl and little evidence for any significant metabolism. With all of the model PCBs, a large fraction of the {sup 14}C was determined to be biomass bound. Results from a time course study done with 4,4{prime}-[{sup 14}C]DCB to examine {sup 14}C partitioning dynamics indicated that the biomass-bound {sup 14}C was likely attributable to nonspecific adsorption of the PCBs to the fungal hyphae. In a subsequent isotope trapping experiment, 4-chlorobenzoic acid and 4-chlorobenzyl alcohol were identified as metabolites produced from 4,4{prime}-[{sup 14}C]DCB. To the best of our knowledge, this the first report describing intermediates formed by P. chrysosporium during PCB degradation. Results from these experiments suggested similarities between P. chrysosporium and bacterial systems in terms of effects of congener chlorination degree and pattern on PCB metabolism and intermediates characteristic of the PCB degradation process. 23 refs., 4 figs., 2 tabs.

Dietrich, D.; Lamar, R. [Dept. of Agriculture, Madison, WI (United States); Hickey, W.J. [Univ. of Wisconsin, Madison, WI (United States)

1995-11-01T23:59:59.000Z

179

Risk Forecasting with GARCH, Skewed t Distributions, and Multiple Timescales  

E-Print Network [OSTI]

Risk Forecasting with GARCH, Skewed t Distributions, and Multiple Timescales Alec N. Kercheval describe how the histori- cal data can first be GARCH filtered and then used to calibrate parameters . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16 3.2 Data and Stylized Facts . . . . . . . . . . . . . . . . . . . . . . . 16 3.3 GARCH Filter

180

On the Ionization Energies of C4H3 Isomers  

SciTech Connect (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

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

Energy level properties of 4p$^6$4d$^3$, 4p$^6$4d$^2$4f and 4p$^5$4d$^4$ configurations of W$^{35+}$ ion  

E-Print Network [OSTI]

The ab initio quasirelativistic Hartree-Fock method developed specifically for the calculation of spectroscopic parameters of heavy atoms and highly charged ions was used to derive spectral data for the multicharged tungsten ion W$^{35+}$. The configuration interaction method was applied to include the electron-correlation effects. The relativistic effects were taken into account in the Breit-Pauli approximation for quasirelativistic Hartree-Fock radial orbitals. The energy level spectra, radiative lifetimes $\\tau$, Lande $g$-factors are calculated for the $\\mathrm{4p^64d^3}$, $\\mathrm{4p^64d^24f}$ and $\\mathrm{4p^54d^4}$ configurations of the W$^{35+}$ ion.

Bogdanovich, P

2015-01-01T23:59:59.000Z

182

MA 165 EXAM 3 Fall 2009 Page 1/4  

E-Print Network [OSTI]

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

183

3D/4D geospatial visualization using Makai Voyager  

E-Print Network [OSTI]

3D/4D geospatial visualization using Makai Voyager John C. Anderson Makai Ocean Engineering, Inc-based, geospatially-enabled software that can fuse and visualize large, multi-variable data sets that change in space

Frandsen, Jannette B.

184

On the contraction of so(4) to iso(3)  

E-Print Network [OSTI]

For any skew-Hermitian integrable irreducible infinite dimensional representation $\\eta$ of $iso(3)$, we find a sequence of (finite dimensional) irreducible representations $\\rho_n$ of $so(4)$ which contract to $\\eta$.

Eyal M. Subag; Ehud Moshe Baruch; Joseph L. Birman; Ady Mann

2012-10-22T23:59:59.000Z

185

E-Print Network 3.0 - area prediction models Sample Search Results  

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

for: area prediction models Page: << < 1 2 3 4 5 > >> 1 The Quality of a 48-Hours Wind Power Forecast Using the German and Danish Weather Prediction Model Summary: The Quality...

186

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

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

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

187

A Hierarchical Bayesian Model for Improving Short-Term Forecasting of Hospital Demand by Including Meteorological  

E-Print Network [OSTI]

A Hierarchical Bayesian Model for Improving Short-Term Forecasting of Hospital Demand by Including Sarran4 Abstract The effect of weather on health has been widely researched, and the ability to forecast, better predictions of hospital demand that are more sensitive to fluctuations in weather can allow

Sahu, Sujit K

188

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

E-Print Network [OSTI]

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

Zaferatos, Nicholas C.

189

Magnetism of NiMn2O4-Fe3O4 spinel interfaces  

SciTech Connect (OSTI)

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

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

2007-09-13T23:59:59.000Z

190

Preparation of 1,1'-dinitro-3,3'-azo-1,2,4-triazole. [1,1'-dinitro-3,3'-azo-1,2,4-triazole  

DOE Patents [OSTI]

A new high density composition of matter, 1,1'-dinitro-3,3'-azo-1,2,4-triazole, has been synthesized using inexpensive, commonly available compounds. This compound has been found to be an explosive, and its use as a propellant is anticipated. 1 fig., 1 tab.

Lee, K.Y.

1985-03-05T23:59:59.000Z

191

1 2 3 4 5 6 7 8 1 2 3 4 5 6 7 8  

E-Print Network [OSTI]

For more information about the latest map updates, Parking Rules and Regulations go to our website: www.uh.edu/parking Campus Map UNIVERSITY SHUTTLE SERVICE PARKING UHPrinting1383708/10 MAP KEY #12;Building Building Abbreviation Grid No. Cell 104 KUHT Fiber Optics Building P2 B-3 105 KUHT Telephone Equipment TVTE B-3 106

Bittner, Eric R.

192

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

Broader source: Energy.gov [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).

193

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

E-Print Network [OSTI]

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

Zaferatos, Nicholas C.

194

Transform Version 3.4 May, 1999 Edition  

E-Print Network [OSTI]

Transform Version 3.4 May, 1999 Edition Copyright ©1990-1999 Fortner Software LLC and its Licensors. All Rights Reserved. Transform User's Guide and Reference Manual #12;Research Systems, Inc Software and its logo are trademarks of Fortner Software LLC Transform, Noesys, Plot,T3D and the HDF

Cohen, David

195

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

196

Aggregate vehicle travel forecasting model  

SciTech Connect (OSTI)

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

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

1995-05-01T23:59:59.000Z

197

CCPP-ARM Parameterization Testbed Model Forecast Data  

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

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

Klein, Stephen

198

Management forecast credibility and underreaction to news  

E-Print Network [OSTI]

In this paper, we first document evidence of underreaction to management forecast news. We then hypothesize that the credibility of the forecast influences the magnitude of this underreaction. Relying on evidence that more ...

Ng, Jeffrey

199

Management Forecast Quality and Capital Investment Decisions  

E-Print Network [OSTI]

Corporate investment decisions require managers to forecast expected future cash flows from potential investments. Although these forecasts are a critical component of successful investing, they are not directly observable ...

Goodman, Theodore H.

200

FORECASTING THE ROLE OF RENEWABLES IN HAWAII  

E-Print Network [OSTI]

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

Sathaye, Jayant

2013-01-01T23:59:59.000Z

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

FORECAST VERIFICATION OF EXTREMES: USE OF EXTREME VALUE THEORY  

E-Print Network [OSTI]

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

Katz, Richard

202

FORECAST VERIFICATION OF EXTREMES: USE OF EXTREME VALUE THEORY  

E-Print Network [OSTI]

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

Katz, Richard

203

Diagnosis of the Marine Low Cloud Simulation in the NCAR Community Earth System Model (CESM) and the NCEP Global Forecast System (GFS)-Modular Ocean Model v4 (MOM4) coupled model  

SciTech Connect (OSTI)

We present a diagnostic analysis of the marine low cloud climatology simulated by two state-of-the-art coupled atmosphere-ocean models: the NCAR Community Earth System Model (CESM) and the NCEP Global Forecasting System (GFS). In both models, the shallow convection and boundary layer turbulence parameterizations have been recently updated: both models now use a mass-flux scheme for the parameterization of shallow convection, and a turbulence parameterization capable of handling Stratocumulus (Sc)-topped Planetary Boundary Layers (PBLs). For shallow convection, both models employ a convective trigger function based on the concept of convective inhibition and both include explicit convective overshooting/penetrative entrainment formulation. For Sc-topped PBL, both models treat explicitly turbulence mixing and cloud-top entrainment driven by cloud-top radiative cooling. Our focus is on the climatological transition from Sc to shallow Cumulus (Cu)-topped PBL in the subtropical eastern oceans. We show that in the CESM the coastal Sc-topped PBLs in the subtropical Eastern Pacific are well-simulated but the climatological transition from Sc to shallow Cu is too abrupt and happens too close to the coast. By contrast, in the GFS coupled simulation the coastal Sc amount and PBL depth are severely underestimated while the transition from Sc to shallow Cu is delayed and offshore Sc cover is too extensive in the subtropical Eastern Pacific. We discuss the possible connections between such differences in the simulations and differences in the parameterizations of shallow convection and boundary layer turbulence in the two models.

Xiao, Heng; Mechoso, C. R.; Sun, Rui; Han, J.; Pan, H. L.; Park, S.; Hannay, Cecile; Bretherton, Christopher S.; Teixeira, J.

2014-07-25T23:59:59.000Z

204

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.

205

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

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Pagec-01b596aa1744b55997c1cc No revision hasa3e396ee3eb No revision has beena593118f6ad9 No2-ca89c866ab64 No revision

206

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  

SciTech Connect (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

207

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

208

(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

209

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 prepared the peak demand forecast. Ravinderpal Vaid provided the projections of commercial floor space

210

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

211

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 for demand response program impacts and contributed to the residential forecast. Mitch Tian prepared

212

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 provided estimates for demand response program impacts and contributed to the residential forecast. Mitch

213

Joining SI3N4 for Advanced Turbomachinery Applications  

SciTech Connect (OSTI)

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

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

2000-07-01T23:59:59.000Z

214

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

E-Print Network [OSTI]

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

Kim, Kwangjo

215

ELECTRICITY DEMAND FORECAST COMPARISON REPORT  

E-Print Network [OSTI]

CALIFORNIA ENERGY COMMISSION ELECTRICITY DEMAND FORECAST COMPARISON REPORT STAFFREPORT June 2005 Gorin Principal Authors Lynn Marshall Project Manager Kae C. Lewis Acting Manager Demand Analysis Office Valerie T. Hall Deputy Director Energy Efficiency and Demand Analysis Division Scott W. Matthews Acting

216

Load Forecasting of Supermarket Refrigeration  

E-Print Network [OSTI]

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

217

Q2 Q3 Q4 Q4 Q3 Q2 Q1 Q1 Q2 Q3 Q4 Q3 Q2 Q1 Q1 Q2 Q3 Q4 Q4 Q3 Q2 Q1  

E-Print Network [OSTI]

. and Solar Energy Industries Association. All Rights Reserved 2 Key Findings Photovoltaics (PV) PV.S. solar market was the growth of utility-scale solar. Utility PV installations in the U.S. grew 670% over Q2 Q3 Q4 Q4 Q3 Q2 Q1 Q1 Q2 Q3 Q4 A Greentech Media Company U.S. SOLAR MARKET INSIGHT REPORT | Q1

218

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

SciTech Connect (OSTI)

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

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

1992-02-01T23:59:59.000Z

219

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

SciTech Connect (OSTI)

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

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

1992-02-01T23:59:59.000Z

220

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

SciTech Connect (OSTI)

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

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

2009-12-01T23:59:59.000Z

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221

4.3. Insects ofPapua SCOTT E. MILLER  

E-Print Network [OSTI]

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

Mathis, Wayne N.

222

March 3-4, 2005 HAPL meeting, NRL 1  

E-Print Network [OSTI]

of magnetic diversion on blanket design requirements Magnetic field impact on liquid breeders Reduced FW) eases FW coolant requirements and opens up possibility of blanket options - Liquid breeder (Li, Pb-17Li magnetic field #12;March 3-4, 2005 HAPL meeting, NRL 6 Simple Liquid Breeder Blanket Options

Raffray, A. Ren

223

Online Tutorial A. Introduction 4 slides (page 3)  

E-Print Network [OSTI]

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

Tsien, Roger Y.

224

Resilient Smart Grid Customers April 3 4, 2014  

E-Print Network [OSTI]

Resilient Smart Grid Customers April 3 ­ 4, 2014 Berkner Hall, Room B ­ Building 488 Agenda, Department Manager-Smart Grid Orange and Rockland Utilities, Inc. Robert Broadwater, Chief Technology Officer President, Legal, Regulatory And Energy Policy General MicroGrids 9:45 ­10:00 a.m. Break 10:00 ­ 11:30 a

Ohta, Shigemi

225

Solar forecasting review  

E-Print Network [OSTI]

Figure 6.3: Birds-eye view of solar array deployment siteBirds-eye 7. Birds-eye view of of solar solar array array

Inman, Richard Headen

2012-01-01T23:59:59.000Z

226

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

DOE Patents [OSTI]

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

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

2003-12-02T23:59:59.000Z

227

Solar forecasting review  

E-Print Network [OSTI]

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

Inman, Richard Headen

2012-01-01T23:59:59.000Z

228

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

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

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

229

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

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

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

230

Forecasting wind speed financial return  

E-Print Network [OSTI]

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

D'Amico, Guglielmo; Prattico, Flavio

2013-01-01T23:59:59.000Z

231

Forecast Energy | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of InspectorConcentrating Solar Power Basics (TheEtelligence (SmartHome Kyoung's pictureFlintFlowerForecast

232

March 3-4, 2005 HAPL meeting, NRL 1  

E-Print Network [OSTI]

, causing q''rad on target Target Injection Target Implosion Point Radiative Heat Transfer 0 0.1 0.2 0.3 0TemperatureoftheTarget q=0.2W/cm^2 q= 0.5 W/cm^2 q=2W/cm^2 q=5W/cm^2 Radiative Heat Transfer 0 0.1 0.2 0.3 0.4 0.5 0.6 0) · Lower gas density and heat flux opens possibility of lower injection velocity (

Raffray, A. René

233

NOVEL CONCEPTS FOR ISOTOPIC SEPARATION OF 3HE/4HE  

SciTech Connect (OSTI)

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

234

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

SciTech Connect (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

235

Acceptance test report for core sample trucks 3 and 4  

SciTech Connect (OSTI)

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

Corbett, J.E.

1996-04-10T23:59:59.000Z

236

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

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home5b9fcbce19 No revision has been approved for this page. It ise7c5ddfdbf9 Noabed3a4e456e No revision has been approved for this

237

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

SciTech Connect (OSTI)

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

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

2013-03-29T23:59:59.000Z

238

Natural Gas Prices Forecast Comparison--AEO vs. Natural Gas Markets  

SciTech Connect (OSTI)

This paper evaluates the accuracy of two methods to forecast natural gas prices: using the Energy Information Administration's ''Annual Energy Outlook'' forecasted price (AEO) and the ''Henry Hub'' compared to U.S. Wellhead futures price. A statistical analysis is performed to determine the relative accuracy of the two measures in the recent past. A statistical analysis suggests that the Henry Hub futures price provides a more accurate average forecast of natural gas prices than the AEO. For example, the Henry Hub futures price underestimated the natural gas price by 35 cents per thousand cubic feet (11.5 percent) between 1996 and 2003 and the AEO underestimated by 71 cents per thousand cubic feet (23.4 percent). Upon closer inspection, a liner regression analysis reveals that two distinct time periods exist, the period between 1996 to 1999 and the period between 2000 to 2003. For the time period between 1996 to 1999, AEO showed a weak negative correlation (R-square = 0.19) between forecast price by actual U.S. Wellhead natural gas price versus the Henry Hub with a weak positive correlation (R-square = 0.20) between forecasted price and U.S. Wellhead natural gas price. During the time period between 2000 to 2003, AEO shows a moderate positive correlation (R-square = 0.37) between forecasted natural gas price and U.S. Wellhead natural gas price versus the Henry Hub that show a moderate positive correlation (R-square = 0.36) between forecast price and U.S. Wellhead natural gas price. These results suggest that agencies forecasting natural gas prices should consider incorporating the Henry Hub natural gas futures price into their forecasting models along with the AEO forecast. Our analysis is very preliminary and is based on a very small data set. Naturally the results of the analysis may change, as more data is made available.

Wong-Parodi, Gabrielle; Lekov, Alex; Dale, Larry

2005-02-09T23:59:59.000Z

239

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

SciTech Connect (OSTI)

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

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

2002-01-01T23:59:59.000Z

240

[Minor revisionposted 4/3/14 (replaces 3/23/11 edition)] Operating Policy and Procedure  

E-Print Network [OSTI]

of this Operating Policy/Procedure (OP) is to establish a standard procedure for locating exterior signsOP 61.22 [Minor revisionposted 4/3/14 (replaces 3/23/11 edition)] Operating Policy and Procedure approval, a Project Request (Attachment B, OP 61.28) will be forwarded to Operations Division Maintenance

Rock, Chris

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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241

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

E-Print Network [OSTI]

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

Xue, Ming

242

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

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

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

243

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

244

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

SciTech Connect (OSTI)

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

Luscher, Walter G.; Geelhood, Kenneth J.

2010-08-01T23:59:59.000Z

245

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

SciTech Connect (OSTI)

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

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

2014-01-15T23:59:59.000Z

246

Evaluation of numerical weather prediction for intra-day solar forecasting in the continental United States  

E-Print Network [OSTI]

andvalidation. SolarEnergy. 73:5,307? Perez,R. ,irradianceforecastsforsolarenergyapplicationsbasedonusingsatellitedata. SolarEnergy67:1?3,139?150.

Mathiesen, Patrick; Kleissl, Jan

2011-01-01T23:59:59.000Z

247

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

E-Print Network [OSTI]

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

248

Geothermal wells: a forecast of drilling activity  

SciTech Connect (OSTI)

Numbers and problems for geothermal wells expected to be drilled in the United States between 1981 and 2000 AD are forecasted. The 3800 wells forecasted for major electric power projects (totaling 6 GWe of capacity) are categorized by type (production, etc.), and by location (The Geysers, etc.). 6000 wells are forecasted for direct heat projects (totaling 0.02 Quads per year). Equations are developed for forecasting the number of wells, and data is presented. Drilling and completion problems in The Geysers, The Imperial Valley, Roosevelt Hot Springs, the Valles Caldera, northern Nevada, Klamath Falls, Reno, Alaska, and Pagosa Springs are discussed. Likely areas for near term direct heat projects are identified.

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

1981-07-01T23:59:59.000Z

249

Funding Opportunity Announcement for Wind Forecasting Improvement...  

Office of Environmental Management (EM)

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

250

Upcoming Funding Opportunity for Wind Forecasting Improvement...  

Office of Environmental Management (EM)

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

251

Solid low-level waste forecasting guide  

SciTech Connect (OSTI)

Guidance for forecasting solid low-level waste (LLW) on a site-wide basis is described in this document. Forecasting is defined as an approach for collecting information about future waste receipts. The forecasting approach discussed in this document is based solely on hanford`s experience within the last six years. Hanford`s forecasting technique is not a statistical forecast based upon past receipts. Due to waste generator mission changes, startup of new facilities, and waste generator uncertainties, statistical methods have proven to be inadequate for the site. It is recommended that an approach similar to Hanford`s annual forecasting strategy be implemented at each US Department of Energy (DOE) installation to ensure that forecast data are collected in a consistent manner across the DOE complex. Hanford`s forecasting strategy consists of a forecast cycle that can take 12 to 30 months to complete. The duration of the cycle depends on the number of LLW generators and staff experience; however, the duration has been reduced with each new cycle. Several uncertainties are associated with collecting data about future waste receipts. Volume, shipping schedule, and characterization data are often reported as estimates with some level of uncertainty. At Hanford, several methods have been implemented to capture the level of uncertainty. Collection of a maximum and minimum volume range has been implemented as well as questionnaires to assess the relative certainty in the requested data.

Templeton, K.J.; Dirks, L.L.

1995-03-01T23:59:59.000Z

252

The Value of Wind Power Forecasting  

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

Wind Power Forecasting Preprint Debra Lew and Michael Milligan National Renewable Energy Laboratory Gary Jordan and Richard Piwko GE Energy Presented at the 91 st American...

253

Wind Power Forecasting andWind Power Forecasting and Electricity Market Operations  

E-Print Network [OSTI]

Wind Power Forecasting andWind Power Forecasting and Electricity Market Operations Audun Botterud://www.dis.anl.gov/projects/windpowerforecasting.html IAWind 2010 Ames, IA, April 6, 2010 #12;Outline Background Using wind power forecasts in market operations ­ Current status in U.S. markets ­ Handling uncertainties in system operations ­ Wind power

Kemner, Ken

254

U-M Construction Forecast December 15, 2011 U-M Construction Forecast  

E-Print Network [OSTI]

U-M Construction Forecast December 15, 2011 U-M Construction Forecast Spring Fall 2012 As of December 15, 2011 Prepared by AEC Preliminary & Advisory #12;U-M Construction Forecast December 15, 2011 Overview Campus by campus Snapshot in time Not all projects Construction coordination efforts

Kamat, Vineet R.

255

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

E-Print Network [OSTI]

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

256

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

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of48d9ff47edf3a87dcc95b No revision has been approved64ec514 Noc707c3a4d4cd No revision has been approved for

257

trans-K3[TcO2(CN)4  

SciTech Connect (OSTI)

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

258

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

E-Print Network [OSTI]

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

259

Optimal combined wind power forecasts using exogeneous variables  

E-Print Network [OSTI]

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

260

Ensemble forecast of analyses: Coupling data assimilation and sequential aggregation  

E-Print Network [OSTI]

Ensemble forecast of analyses: Coupling data assimilation and sequential aggregation Vivien Mallet1. [1] Sequential aggregation is an ensemble forecasting approach that weights each ensemble member based on past observations and past forecasts. This approach has several limitations: The weights

Mallet, Vivien

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We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


261

Probabilistic Wind Speed Forecasting using Ensembles and Bayesian Model Averaging  

E-Print Network [OSTI]

is to issue deterministic forecasts based on numerical weather prediction models. Uncertainty canProbabilistic Wind Speed Forecasting using Ensembles and Bayesian Model Averaging J. Mc discretization than is seen in other weather quantities. The prevailing paradigm in weather forecasting

Washington at Seattle, University of

262

Coordinating production quantities and demand forecasts through penalty schemes  

E-Print Network [OSTI]

Coordinating production quantities and demand forecasts through penalty schemes MURUVVET CELIKBAS1 departments which enable organizations to match demand forecasts with production quantities. This research problem where demand is uncertain and the marketing de- partment provides a forecast to manufacturing

Swaminathan, Jayashankar M.

263

HIERARCHY OF PRODUCTION DECISIONS Forecasts of future demand  

E-Print Network [OSTI]

HIERARCHY OF PRODUCTION DECISIONS Forecasts of future demand Aggregate plan Master production Planning and Forecast Bias · Forecast error seldom is normally distributed · There are few finite planning

Brock, David

264

Forecasting Market Demand for New Telecommunications Services: An Introduction  

E-Print Network [OSTI]

Forecasting Market Demand for New Telecommunications Services: An Introduction Peter Mc in demand forecasting for new communication services. Acknowledgments: The writing of this paper commenced employers or consultancy clients. KEYWORDS: Demand Forecasting, New Product Marketing, Telecommunica- tions

Parsons, Simon

265

TRANSPORTATION ENERGY FORECASTS FOR THE 2007 INTEGRATED ENERGY  

E-Print Network [OSTI]

has developed longterm forecasts of transportation energy demand as well as projected ranges of transportation fuel and crude oil import requirements. The transportation energy demand forecasts makeCALIFORNIA ENERGY COMMISSION TRANSPORTATION ENERGY FORECASTS FOR THE 2007 INTEGRATED ENERGY POLICY

266

NREL: Transmission Grid Integration - Forecasting  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the Contributions andData and ResourcesOtherForecasting NREL researchers use solar and

267

Theoretical energy level spectra and transition data for 4p$^6$4d$^2$, 4p$^6$4d4f and 4p$^5$4d$^3$ configurations of W$^{36+}$ ion  

E-Print Network [OSTI]

The ab initio quasirelativistic Hartree-Fock method developed specifically for the calculation of spectral parameters of heavy atoms and highly charged ions is used to derive transition data for multicharged tungsten ion. The configuration interaction method is applied to include electron correlation effects. The relativistic effects are taken into account in the Breit-Pauli approximation for quasirelativistic Hartree-Fock radial orbitals. The energy level spectra, radiative lifetimes $\\tau$, Lande $g$-factors are calculated for the $\\mathrm{4p^64d^2}$, $\\mathrm{4p^64d4f}$ and $\\mathrm{4p^54d^3}$ configurations of W$^{36+}$ ion. The transition wavelengths $\\lambda$, spontaneous transition probabilities $A$, oscillator strengths $gf$ and line strengths $S$ for the electric dipole, electric quadrupole, electric octupole and magnetic dipole transitions among the levels of these configurations are tabulated.

Bogdanovich, P

2015-01-01T23:59:59.000Z

268

SECOND HARMONIC GENERATION OF Bi4Ti3O12 FILMS IN-SITU PROBING OF DOMAIN POLING IN Bi4Ti3O12 THIN  

E-Print Network [OSTI]

SECOND HARMONIC GENERATION OF Bi4Ti3O12 FILMS IN-SITU PROBING OF DOMAIN POLING IN Bi4Ti3O12 THIN FILMS BY OPTICAL SECOND HARMONIC GENERATION YANIV BARAD, VENKATRAMAN GOPALAN Materials Research, of a ferroelectric Bi4Ti3O12 thin film using optical second harmonic generation as a probe. The ferroelectric

Gopalan, Venkatraman

269

Sixth Northwest Conservation & Electric Power Plan Draft Wholesale Power Price Forecasts  

E-Print Network [OSTI]

Price Forecasts 4. Updated load-resource balance by zones\\ regions Energy Capacity 5. Impact Higher Coal Prices Medium Long-term Trend Forecasts for PNW Zones 0.00 0.20 0.40 0.60 0.80 1.00 1.20 1 Northwest Power and Conservation Council Comparison of Annual Average Energy Draft 6th Plan vs. Interim

270

Isoquinoline-1,3,4-trione Derivatives Inactivate Caspase-3 by Generation of Reactive Oxygen Species*S  

E-Print Network [OSTI]

Isoquinoline-1,3,4-trione Derivatives Inactivate Caspase-3 by Generation of Reactive Oxygen Species that ROS can be generated by reaction of isoquinoline-1,3,4-trione derivatives with DTT. Oxygen- pounds can irreversibly inactivate caspase-3 in a 1,4-dithio- threitol (DTT)- and oxygen-dependent manner

Tian, Weidong

271

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

Energy Savers [EERE]

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

272

Forecasting of Solar Radiation Detlev Heinemann, Elke Lorenz, Marco Girodo  

E-Print Network [OSTI]

Forecasting of Solar Radiation Detlev Heinemann, Elke Lorenz, Marco Girodo Oldenburg University have been presented more than twenty years ago (Jensenius, 1981), when daily solar radiation forecasts

Heinemann, Detlev

273

New Concepts in Wind Power Forecasting Models  

E-Print Network [OSTI]

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

Kemner, Ken

274

Inverse Modelling to Forecast Enclosure Fire Dynamics  

E-Print Network [OSTI]

. This thesis proposes and studies a method to use measurements of the real event in order to steer and accelerate fire simulations. This technology aims at providing forecasts of the fire development with a positive lead time, i.e. the forecast of future events...

Jahn, Wolfram

275

QUIKSCAT MEASUREMENTS AND ECMWF WIND FORECASTS  

E-Print Network [OSTI]

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

Malmberg, Anders

276

QUIKSCAT MEASUREMENTS AND ECMWF WIND FORECASTS  

E-Print Network [OSTI]

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

Malmberg, Anders

277

Nonparametric models for electricity load forecasting  

E-Print Network [OSTI]

Electricity consumption is constantly evolving due to changes in people habits, technological innovations1 Nonparametric models for electricity load forecasting JANUARY 23, 2015 Yannig Goude, Vincent at University Paris-Sud 11 Orsay. His research interests are electricity load forecasting, more generally time

Genève, Université de

278

-Assessment of current water conditions -Precipitation Forecast  

E-Print Network [OSTI]

#12;-Assessment of current water conditions - Precipitation Forecast - Recommendations for Drought of the mountains, so early demand for irrigation water should be minimal as we officially move into spring. Western, it is forecast to bring wet snow to the eastern slope of the Rockies, with less accumulations west of the divide

279

A NEW APPROACH FOR EVALUATING ECONOMIC FORECASTS  

E-Print Network [OSTI]

APPROACH FOR EVALUATING ECONOMIC FORECASTS Tara M. Sinclair , H.O. Stekler, and Warren Carnow Department of Economics The George Washington University Monroe Hall #340 2115 G Street NW Washington, DC 20052 JEL Codes, Mahalanobis Distance Abstract This paper presents a new approach to evaluating multiple economic forecasts

Vertes, Akos

280

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 and Economics at California State University, Fullerton, the largest accredited business school in California

de Lijser, Peter

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

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

SciTech Connect (OSTI)

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

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

2008-01-01T23:59:59.000Z

282

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

SciTech Connect (OSTI)

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

United States. Bonneville Power Administration.

1994-02-01T23:59:59.000Z

283

0 1 22 3 0 -4 3 5 6 3 5 7 8 ,  

E-Print Network [OSTI]

International Geophys. J. Int. (2013) 195, 13511369 doi: 10.1093/gji/ggt316 Advance Access publication 2013. Over 7500 Rayleigh wave em- pirical Green's functions are derived from interstation cross the subspace method. We then inverted the group velocity maps for the 3-D shear wave velocity structure

284

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

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of48d9ff47edf3 No revision5af6d400c2d4-4797-b850-d42be48a30cf No revisionf-e4d20400b3b9687d635a8f6d233210d

285

MSSM Forecast for the LHC  

E-Print Network [OSTI]

We perform a forecast of the MSSM with universal soft terms (CMSSM) for the LHC, based on an improved Bayesian analysis. We do not incorporate ad hoc measures of the fine-tuning to penalize unnatural possibilities: such penalization arises from the Bayesian analysis itself when the experimental value of $M_Z$ is considered. This allows to scan the whole parameter space, allowing arbitrarily large soft terms. Still the low-energy region is statistically favoured (even before including dark matter or g-2 constraints). Contrary to other studies, the results are almost unaffected by changing the upper limits taken for the soft terms. The results are also remarkable stable when using flat or logarithmic priors, a fact that arises from the larger statistical weight of the low-energy region in both cases. Then we incorporate all the important experimental constrains to the analysis, obtaining a map of the probability density of the MSSM parameter space, i.e. the forecast of the MSSM. Since not all the experimental information is equally robust, we perform separate analyses depending on the group of observables used. When only the most robust ones are used, the favoured region of the parameter space contains a significant portion outside the LHC reach. This effect gets reinforced if the Higgs mass is not close to its present experimental limit and persits when dark matter constraints are included. Only when the g-2 constraint (based on $e^+e^-$ data) is considered, the preferred region (for $\\mu>0$) is well inside the LHC scope. We also perform a Bayesian comparison of the positive- and negative-$\\mu$ possibilities.

Maria Eugenia Cabrera; Alberto Casas; Roberto Ruiz de Austri

2010-12-10T23:59:59.000Z

286

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

SciTech Connect (OSTI)

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

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

1989-01-01T23:59:59.000Z

287

1993 Solid Waste Reference Forecast Summary  

SciTech Connect (OSTI)

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

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

1993-08-01T23:59:59.000Z

288

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

E-Print Network [OSTI]

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

Andrea Blunck; Peter Levay; Metod Saniga; Peter Vrana

2010-09-09T23:59:59.000Z

289

PSO (FU 2101) Ensemble-forecasts for wind power  

E-Print Network [OSTI]

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

290

A New Measure of Earnings Forecast Uncertainty Xuguang Sheng  

E-Print Network [OSTI]

A New Measure of Earnings Forecast Uncertainty Xuguang Sheng American University Washington, D of earnings forecast uncertainty as the sum of dispersion among analysts and the variance of mean forecast available to analysts at the time they make their forecasts. Hence, it alleviates some of the limitations

Kim, Kiho

291

AN ANALYSIS OF FORECAST BASED REORDER POINT POLICIES : THE BENEFIT  

E-Print Network [OSTI]

AN ANALYSIS OF FORECAST BASED REORDER POINT POLICIES : THE BENEFIT OF USING FORECASTS Mohamed Zied Ch^atenay-Malabry Cedex, France Abstract: In this paper, we analyze forecast based inventory control policies for a non-stationary demand. We assume that forecasts and the associated uncertainties are given

Paris-Sud XI, Université de

292

The Complexity of Forecast Testing Lance Fortnow # Rakesh V. Vohra +  

E-Print Network [OSTI]

The Complexity of Forecast Testing Lance Fortnow # Rakesh V. Vohra + Abstract Consider a weather forecaster predicting a probability of rain for the next day. We consider tests that given a finite sequence of forecast predictions and outcomes will either pass or fail the forecaster. Sandroni shows that any test

Fortnow, Lance

293

Does increasing model stratospheric resolution improve extended range forecast skill?  

E-Print Network [OSTI]

Does increasing model stratospheric resolution improve extended range forecast skill? Greg Roff,1 forecast skill at high Southern latitudes is explored. Ensemble forecasts are made for two model configurations that differ only in vertical resolution above 100 hPa. An ensemble of twelve 30day forecasts

294

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

SciTech Connect (OSTI)

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

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

2011-10-01T23:59:59.000Z

295

Univariate Modeling and Forecasting of Monthly Energy Demand Time Series  

E-Print Network [OSTI]

Univariate Modeling and Forecasting of Monthly Energy Demand Time Series Using Abductive and Neural demand time series based only on data for six years to forecast the demand for the seventh year. Both networks, Neural networks, Modeling, Forecasting, Energy demand, Time series forecasting, Power system

Abdel-Aal, Radwan E.

296

PRELIMINARY CALIFORNIA ENERGY DEMAND FORECAST 2012-2022  

E-Print Network [OSTI]

PRELIMINARY CALIFORNIA ENERGY DEMAND FORECAST 2012-2022 AUGUST 2011 CEC-200-2011-011-SD CALIFORNIA or adequacy of the information in this report. #12;i ACKNOWLEDGEMENTS The staff demand forecast forecast. Mitch Tian prepared the peak demand forecast. Ravinderpal Vaid provided the projections

297

Strategic safety stocks in supply chains with evolving forecasts  

E-Print Network [OSTI]

we have an evolving demand forecast. Under assumptions about the forecasts, the demand process their supply chain operations based on a forecast of future demand over some planning horizon. Furthermore stock inventory in a supply chain that is subject to a dynamic, evolving demand forecast. In particular

Graves, Stephen C.

298

CALIFORNIA ENERGY DEMAND 2008-2018 STAFF DRAFT FORECAST  

E-Print Network [OSTI]

CALIFORNIA ENERGY COMMISSION CALIFORNIA ENERGY DEMAND 2008-2018 STAFF DRAFT FORECAST Energy Demand 2008-2018 forecast supports the analysis and recommendations of the 2007 Integrated Energy Commission demand forecast models. Both the staff draft energy consumption and peak forecasts are slightly

299

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

SciTech Connect (OSTI)

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

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

2013-10-01T23:59:59.000Z

300

FPA, Annual meeting, 3-4 December 2008 Slide 1 Status of ITER  

E-Print Network [OSTI]

FPA, Annual meeting, 3-4 December 2008 Slide 1 of 25 Status of ITER Fusion Power Associates Annual Organization #12;FPA, Annual meeting, 3-4 December 2008 Slide 2 of 25 Main Outline · History of ITER Project Program · External Relations · International School #12;FPA, Annual meeting, 3-4 December 2008 Slide 3

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

4  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLasDelivered‰PNGExperience hands-onASTROPHYSICS H.CarbonMarch Value4 3.P D ATFOR M4.0 --4 -3

302

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

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

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

303

Preparation of 1,3,5-triamino-2,4,6-trinitrobenzene from 3,5-dichloroanisole  

DOE Patents [OSTI]

Preparation of 1,3,5-triamino-2,4,6-trinitrobenzene (TATB) from 3,5-dichloroanisole is described. Nitration of 3,5-dichloroanisole under relatively mild conditions gave 3,5-dichloro-2,4,6-trinitroanisole in high yield and purity. Ammonolysis of this latter compound gave the desired TATB. Another route to TATB was through the treatment of the 3,5-dichloro-2,4,6-trinitroanisole with thionyl chloride and dimethylformamide to yield 1,3,5-trichloro-2,4,6-trinitrobenzene. Ammonolysis of this product produced TATB. 8 figures.

Ott, D.G.; Benziger, T.M.

1991-03-05T23:59:59.000Z

304

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

E-Print Network [OSTI]

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

Huang, Haimei

305

SolarAnywhere forecast (Perez & Hoff) This chapter describes, and presents an evaluation of, the forecast models imbedded in the  

E-Print Network [OSTI]

SolarAnywhere forecast (Perez & Hoff) ABSTRACT This chapter describes, and presents an evaluation of, the forecast models imbedded in the SolarAnywhere platform. The models include satellite derived cloud motion based forecasts for the short to medium horizon (1 5 hours) and forecasts derived from NOAA

Perez, Richard R.

306

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

E-Print Network [OSTI]

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

Mathiesen, Patrick James

2013-01-01T23:59:59.000Z

307

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

E-Print Network [OSTI]

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

Mathiesen, Patrick James

2013-01-01T23:59:59.000Z

308

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

E-Print Network [OSTI]

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

Osterloh, Frank

309

Wind Speed Forecasting for Power System Operation  

E-Print Network [OSTI]

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

Zhu, Xinxin

2013-07-22T23:59:59.000Z

310

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

E-Print Network [OSTI]

Appendix A: Fuel Price Forecast Introduction ................................................................................................................... 17 INTRODUCTION Since the millennium, the trend for fuel prices has been one of uncertainty prices, which have traditionally been relatively stable, increased by about 50 percent in 2008. Fuel

311

STAFF FORECAST: AVERAGE RETAIL ELECTRICITY PRICES  

E-Print Network [OSTI]

CALIFORNIA ENERGY COMMISSION STAFF FORECAST: AVERAGE RETAIL ELECTRICITY PRICES 2005 TO 2018 Mignon Marks Principal Author Mignon Marks Project Manager David Ashuckian Manager ELECTRICITY ANALYSIS OFFICE Sylvia Bender Acting Deputy Director ELECTRICITY SUPPLY DIVISION B.B. Blevins Executive Director

312

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...

Bejarano Rojas, Jesus Antonio

2012-10-19T23:59:59.000Z

313

Data:87c189fa-ab4f-4aa3-b4f3-eadcbd5e472c | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office695810186 No revisione0a2d50bdf No revisionb27d098e Nod173ef850e7b37914bbdfbaa4-64a66e62e88af3-eadcbd5e472c No

314

Subtask 3.4 - Fischer - Tropsch Fuels Development  

SciTech Connect (OSTI)

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

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

2012-05-01T23:59:59.000Z

315

Dynamic Algorithm for Space Weather Forecasting System  

E-Print Network [OSTI]

for the designation as UNDERGRADUATE RESEARCH SCHOLAR April 2010 Major: Nuclear Engineering DYNAMIC ALGORITHM FOR SPACE WEATHER FORECASTING SYSTEM A Junior Scholars Thesis by LUKE DUNCAN FISCHER Submitted to the Office of Undergraduate... 2010 Major: Nuclear Engineering iii ABSTRACT Dynamic Algorithm for Space Weather Forecasting System. (April 2010) Luke Duncan Fischer Department of Nuclear Engineering Texas A&M University Research Advisor: Dr. Stephen Guetersloh...

Fischer, Luke D.

2011-08-08T23:59:59.000Z

316

Methodology for Developing the REScheckTM Software through Version 4.4.3  

SciTech Connect (OSTI)

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

317

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

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office695810186 No revisione0a2d50bdf35248292f1 No789501c8a3b5d3f-8637-e4b2dd7a939911260dd8714 Noa9ca2555504 No

318

Nambe Pueblo Water Budget and Forecasting model.  

SciTech Connect (OSTI)

This report documents The Nambe Pueblo Water Budget and Water Forecasting model. The model has been constructed using Powersim Studio (PS), a software package designed to investigate complex systems where flows and accumulations are central to the system. Here PS has been used as a platform for modeling various aspects of Nambe Pueblo's current and future water use. The model contains three major components, the Water Forecast Component, Irrigation Scheduling Component, and the Reservoir Model Component. In each of the components, the user can change variables to investigate the impacts of water management scenarios on future water use. The Water Forecast Component includes forecasting for industrial, commercial, and livestock use. Domestic demand is also forecasted based on user specified current population, population growth rates, and per capita water consumption. Irrigation efficiencies are quantified in the Irrigated Agriculture component using critical information concerning diversion rates, acreages, ditch dimensions and seepage rates. Results from this section are used in the Water Demand Forecast, Irrigation Scheduling, and the Reservoir Model components. The Reservoir Component contains two sections, (1) Storage and Inflow Accumulations by Categories and (2) Release, Diversion and Shortages. Results from both sections are derived from the calibrated Nambe Reservoir model where historic, pre-dam or above dam USGS stream flow data is fed into the model and releases are calculated.

Brainard, James Robert

2009-10-01T23:59:59.000Z

319

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

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

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

320

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

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

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

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

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

Energy Savers [EERE]

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

322

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

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

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

323

A Statistical Solar Flare Forecast Method  

E-Print Network [OSTI]

A Bayesian approach to solar flare prediction has been developed, which uses only the event statistics of flares already observed. The method is simple, objective, and makes few ad hoc assumptions. It is argued that this approach should be used to provide a baseline prediction for certain space weather purposes, upon which other methods, incorporating additional information, can improve. A practical implementation of the method for whole-Sun prediction of Geostationary Observational Environment Satellite (GOES) events is described in detail, and is demonstrated for 4 November 2003, the day of the largest recorded GOES flare. A test of the method is described based on the historical record of GOES events (1975-2003), and a detailed comparison is made with US National Oceanic and Atmospheric Administration (NOAA) predictions for 1987-2003. Although the NOAA forecasts incorporate a variety of other information, the present method out-performs the NOAA method in predicting mean numbers of event days, for both M-X and X events. Skill scores and other measures show that the present method is slightly less accurate at predicting M-X events than the NOAA method, but substantially more accurate at predicting X events, which are important contributors to space weather.

M. S. Wheatland

2005-05-14T23:59:59.000Z

324

Study of a layered iron(III) phosphate phase Na3Fe3(PO4)4 used as positive electrode in lithium batteries  

E-Print Network [OSTI]

prepared by solid-state reaction was studied as positive electrode in lithium batteries. Up to 1.9 Li and lithium batteries. 1. Introduction : Recently, a new class of cathodic material based on iron phosphatesStudy of a layered iron(III) phosphate phase Na3Fe3(PO4)4 used as positive electrode in lithium

Paris-Sud XI, Université de

325

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

E-Print Network [OSTI]

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

Paris-Sud XI, Université de

326

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

E-Print Network [OSTI]

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

Britto, Dev T.

327

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

E-Print Network [OSTI]

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

Berry, R. Stephen

328

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

329

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

E-Print Network [OSTI]

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

Dunin-Borkowski, Rafal E.

330

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

E-Print Network [OSTI]

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

Dyer, Bill

331

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

SciTech Connect (OSTI)

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

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

2014-05-01T23:59:59.000Z

332

!+ -0 1! -+ 11$3*4-, 5-+) .%$-7 !8  

E-Print Network [OSTI]

. Introduction Bisphenol A [2,2-bis(4-hydroxyphenyl)propane] is used for many years as a monomer to produce (via) and storage containers. Epoxy coatings are used inside food cans, pipes and tanks for drinking water and food

Mailhes, Corinne

333

2009-2010 4 2010-2011 3  

E-Print Network [OSTI]

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

334

Women's Minor A Women's Minor B Women's Minor C Spanks 3 -9 Sproulettes 8 -4 Pudge 9 -3  

E-Print Network [OSTI]

's Minor F Happy Valley Fun 12 - 3 Sets on the Beach 10 - 5 Dalhausser & Friends 8 - 4 Boosh Bros 9 - 6

Yener, Aylin

335

Mapping magnetic fields of Fe3O4 nanosphere assemblies by electron holography  

E-Print Network [OSTI]

Magnetite (Fe3O4) nanocrystals have attracted much attention due to their unique magnetic properties, and bio-separation.13 Fe3O4 has also been demonstrated as an excellent storage material for lithium and mesocrystals, where magnetic interactions deter- mine the morphology.3 It is of great importance to identify

Rubloff, Gary W.

336

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

E-Print Network [OSTI]

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

337

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

SciTech Connect (OSTI)

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

338

Geophysical investigation of selected sites in burial grounds 218-W-3A, -4B, and -4C  

SciTech Connect (OSTI)

Ground-penetrating radar (GPR) and electro-magnetic induction(EMI) were successfully used to delineate buried wastes in Trenches 218-W-3A, -4B, and -4C and determine the amount of soil cover of the buried wastes.

Kiesler, J.P.

1996-08-20T23:59:59.000Z

339

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

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

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

340

4, 121140, 2004 Uptake of HNO3 on  

E-Print Network [OSTI]

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

Paris-Sud XI, Université de

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

2008-2009 4 2010-2011 3  

E-Print Network [OSTI]

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

342

Data:3d3845d4-a2b4-4eaa-963f-4f8ca935b0b4 | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of48d9ff47edf3a87dcc95b No revision has been approved for thisa059-35c31077a1d8 Noa51cec351d No revision

343

Table 4.3 Offsite-Produced Fuel Consumption, 2002  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative FuelsTotal" (Percent) Type: Sulfur Content API Gravity Period: Monthly Annual Download Series History Download6 Electricity:73.02.4.23

344

LANL JOWOG 31 2012 Forecast  

SciTech Connect (OSTI)

Joint Working Group (JOWOG) 31, Nuclear Weapons Engineering, has a particularly broad scope of activities within its charter which emphasizes systems engineering. JOWOG 31 brings together experts from AWE and the national laboratories to address engineering issues associated with warhead design and certification. Some of the key areas of interaction, as addressed by the HOCWOGs are: (1) Engineering Analysis, (2) Hydrodynamic Testing, (3) Environmental Testing, and (4) Model Based Integrated Toolkit (MBIT). Gas Transfer Systems and Condition Monitoring interaction has been moved back to JOWOG 31. The regularly scheduled JOWOG 31 activities are the General Sessions, Executive Sessions, Focused Exchanges and HOCWOGs. General Sessions are scheduled every 12-18 months and are supported by the four design laboratories (AWE, LANL, LLNL, and SNL). Beneficial in educating the next generation of weapons engineers and establishing contacts between AWE and the US laboratory personnel. General Sessions are based on a blend of presentations and workshops centered on various themed subjects directly related to Stockpile Stewardship. HOCWOG meetings are more narrowly focused than the General Sessions. They feature presentations by experts in the field with a greater emphasis on round table discussions. Typically about 20 people attend. Focused exchanges are generally the result of interactions within JOWOG general sessions or HOCWOG meetings. They generally span a very specific topic of current interest within the US and UK.

Vidlak, Anton J. II [Los Alamos National Laboratory

2012-08-08T23:59:59.000Z

345

Autoregressive Time Series Forecasting of Computational Demand  

E-Print Network [OSTI]

We study the predictive power of autoregressive moving average models when forecasting demand in two shared computational networks, PlanetLab and Tycoon. Demand in these networks is very volatile, and predictive techniques to plan usage in advance can improve the performance obtained drastically. Our key finding is that a random walk predictor performs best for one-step-ahead forecasts, whereas ARIMA(1,1,0) and adaptive exponential smoothing models perform better for two and three-step-ahead forecasts. A Monte Carlo bootstrap test is proposed to evaluate the continuous prediction performance of different models with arbitrary confidence and statistical significance levels. Although the prediction results differ between the Tycoon and PlanetLab networks, we observe very similar overall statistical properties, such as volatility dynamics.

Sandholm, Thomas

2007-01-01T23:59:59.000Z

346

4  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLasDelivered‰PNGExperience hands-onASTROPHYSICS H.CarbonMarch Value4 3.P D ATFOR M4.0 -

347

4D Characterization of Metals by 3DXRD  

SciTech Connect (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

348

.# -# / # 0# % -# 3# 13 # # 4 / # 5# # 6 +# 6 789: ; +  

E-Print Network [OSTI]

-industrial concentrations. The simula- tions of the mid-Pliocene warm period show global warming of between 1.8 and 3.6 C of the Past OpenAccess Evaluating the dominant components of warming in Pliocene climate simulations D. JMIP Experi- ment 2 to evaluate the causes of the increased temperatures and differences between the models

Leeds, University of

349

Do Investors Forecast Fat Firms? Evidence from the Gold Mining Industry  

E-Print Network [OSTI]

Economists Gold Price Forecasts, Australian Journal ofDo Investors Forecast Fat Firms? Evidence from the Gold

Borenstein, Severin; Farrell, Joseph

2006-01-01T23:59:59.000Z

350

Supporting Information Surface Electric Fields of Aqueous Solutions of NH4NO3, Mg(NO3)2, NaNO3,  

E-Print Network [OSTI]

S1 Supporting Information Surface Electric Fields of Aqueous Solutions of NH4NO3, Mg(NO3)2, NaNO3 interfaces of (a) 1.0 M and 2.0 M LiNO3, (b) 1.0 M and 1.7 M NaNO3, (c) 1.0 M and 1.6 M NH4NO3, and (d) 1.0 M water 1.0 M NaNO3 1.7 M NaNO3 c water 1.0 M NH4 NO3 1.6 M NH4 NO3 | (2) | 2 (10 3 arb.units) Wavenumber

351

Clean Cities Drive Vol 3 Issue 4 - Fall 1996  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth7-1D: Vegetation Proposed New Substation SitesStandingtheirCheckInnovation,Classroom VisitsPropane4

352

Experimental Station 4-3 | Stanford Synchrotron Radiation Lightsource  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsruc DocumentationP-Series toESnet4:Epitaxial Thin FilmEquipment SSRL plans the1 Beamline 13-132

353

Potential to Improve Forecasting Accuracy: Advances in Supply Chain Management  

E-Print Network [OSTI]

Forecasting is a necessity almost in any operation. However, the tools of forecasting are still primitive in view of the great strides made by research and the increasing abundance of data made possible by automatic ...

Datta, Shoumen

2008-07-31T23:59:59.000Z

354

Market perceptions of efficiency and news in analyst forecast errors  

E-Print Network [OSTI]

Financial analysts are considered inefficient when they do not fully incorporate relevant information into their forecasts. In this dissertation, I investigate differences in the observable efficiency of analysts' earnings forecasts between firms...

Chevis, Gia Marie

2004-11-15T23:59:59.000Z

355

The effect of multinationality on management earnings forecasts  

E-Print Network [OSTI]

This study examines the relationship between a firm??s degree of multinationality and its managers?? earnings forecasts. Firms with a high degree of multinationality are subject to greater uncertainty regarding earnings forecasts due...

Runyan, Bruce Wayne

2005-08-29T23:59:59.000Z

356

Magnetoelectric nano-Fe3O4?CoFe2O4?PbZr0.53Ti0.47O3 composite  

E-Print Network [OSTI]

A new magnetoelectric hybrid device composed of a nanoparticulate magnetostrictive iron oxide-cobalt ferritefilm on a piezoelectric lead zirconic titanate crystal serving as both substrate and straining medium is described. Nano-Fe3O4?CoFe2O4...

Ren, Shenqiang; Wuttig, Manfred

2008-02-26T23:59:59.000Z

357

Essays on financial analysts' forecasts  

E-Print Network [OSTI]

3.5 Econometric Framework . . . . . . .under Asymmet- ric Loss, Econometric Theory, 13, 808817. CSection 3.5 lays out the econometric framework, adapted from

Rodriguez, Marius del Giudice

2006-01-01T23:59:59.000Z

358

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

E-Print Network [OSTI]

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

359

Above-threshold ionization near the 3p4d 1 autoionizing state in magnesium  

E-Print Network [OSTI]

Above-threshold ionization near the 3p4d 1 Fo autoionizing state in magnesium A. Reber,1 T. Baynard ionization of magnesium from the 3 1 P state in the region of the 3p4d 1 Fo autoionizing resonance, in which of magnesium atoms just inside the focus of a magnetic bottle spectrometer MBS 13 . One laser is tuned

Berry, R. Stephen

360

Neo-Latin News, Volume 62, Numbers 3 & 4  

E-Print Network [OSTI]

University, and J. Max Patrick, University of Wisconsin-Milwaukee and Graduate School, New York University. NEO-LATIN NEWS ? Res seniles, Libri IX-XII. By Francesco Petrarca. Ed. by Silvia Rizzo, with the collaboration of Monica Bert. Edizione nazionale... delle opere di Francesco Petrarca, 2.3. Florence: Casa Editrice Le Lettere, 2014. 430 pp. 40. Improvvisi: una antica raccolta di epigrammi. By Francesco Petrarca. Ed. by Monica Bert. Testi e documenti di let- teratura e di lingua, 36. Rome: Salerno...

Kallendorf, Craig

2014-01-01T23:59:59.000Z

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

ENGI 4421 Conditional Probability and Independence Page 4-01 Example 4.01 [Navidi Section 2.3; Devore Sections 2.4-2.5  

E-Print Network [OSTI]

sample points, four of which also fall inside B . Therefore P[ B | A ] = 4/6 = 2/3 . Compare this to P[ B and Independence Page 4-04 Example 4.03 A bag contains two red, three blue and four yellow marbles. Three marbles the probability that the colours of the three marbles are all different. Let "E" represent the desired event

George, Glyn

362

E-Print Network 3.0 - arctic alaska r4d Sample Search Results  

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

for: arctic alaska r4d Page: << < 1 2 3 4 5 > >> 1 revised 122010 Alaska Cooperative Fish and Wildlife Research Unit Summary: . 1966. The recreational potential of the Arctic...

363

E-Print Network 3.0 - atlas fe-i4 pixel Sample Search Results  

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

pixel Search Powered by Explorit Topic List Advanced Search Sample search results for: atlas fe-i4 pixel Page: << < 1 2 3 4 5 > >> 1 Joint ATLASCMS SLHC Opto WG 1 March 5, 2010...

364

Philosophy 101 Quiz #3/#4 will be returned today (end of class)  

E-Print Network [OSTI]

Philosophy 101 (4/7/11) · Quiz #3/#4 will be returned today (end of class) · HW #5 due Today (end, since these medications produce immobility, they increase the risk of bedsores. Doctors at the Center

Fitelson, Branden

365

Wind power forecasting in U.S. electricity markets.  

SciTech Connect (OSTI)

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

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

2010-04-01T23:59:59.000Z

366

Wind power forecasting in U.S. Electricity markets  

SciTech Connect (OSTI)

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

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

2010-04-15T23:59:59.000Z

367

Wind Power Forecasting Error Distributions over Multiple Timescales (Presentation)  

SciTech Connect (OSTI)

This presentation presents some statistical analysis of wind power forecast errors and error distributions, with examples using ERCOT data.

Hodge, B. M.; Milligan, M.

2011-07-01T23:59:59.000Z

368

Fe/Al2O3 C2H4 Hata mm/10 min  

E-Print Network [OSTI]

Fe/Al2O3 C2H4 () () () () () () () * () 1. (SWNT) SWNT (CVD) (CNT)[1] Hata mm/10 min SWNT (Super Growth)[2]Al2O3 Fe C2H4 SWNT Fe/Al2O3 C2H4 CVD SWNT CNT CNT 2 SiO2 Al2O3 20 (RBM) 1350 cm-1 (D-Band)Fe G/D RBM Fe SWNT Al 15 nm Fe 0.6 nm CVD TEM Fig. 3 3 nm SWNT

Maruyama, Shigeo

369

0 20 4010 Miles NOAA Harmful Algal Bloom Operational Forecast System  

E-Print Network [OSTI]

0 20 4010 Miles NOAA Harmful Algal Bloom Operational Forecast System Texas Forecast Region Maps to Sargent BCH NOAA Harmful Algal Bloom Operational Forecast System Texas Forecast Region Maps 0 5 102 Bloom Operational Forecast System Texas Forecast Region Maps 0 5 102.5 Miles West Bay #12;Aransas Bay

370

The crystal structure of Yb{sub 2}(SO{sub 4}){sub 3}.3H{sub 2}O and its decomposition product, {beta}-Yb{sub 2}(SO{sub 4}){sub 3}  

SciTech Connect (OSTI)

Yb{sub 2}(SO{sub 4}){sub 3}.3H{sub 2}O, synthesised by hydrothermal methods at 220(2) deg. C, has been investigated by single crystal X-ray diffraction. Yb{sub 2}(SO{sub 4}){sub 3}.3H{sub 2}O crystallises in space group Cmc2{sub 1} and is isostructural with Lu{sub 2}(SO{sub 4}){sub 3}.3H{sub 2}O. The crystal structure has been refined to R{sub 1}=0.0145 for 3412 reflections [F{sub o}>3{sigma}(F)], and 0.0150 for all 3472 reflections. The structure of Yb{sub 2}(SO{sub 4}){sub 3}.3H{sub 2}O is a complex framework of YbO{sub 6} octahedra, YbO{sub 8} and YbO{sub 5}(H{sub 2}O){sub 3} polyhedra and SO{sub 4} tetrahedra. Thermal data shows that Yb{sub 2}(SO{sub 4}){sub 3}.3H{sub 2}O decomposes between 120 and 190 deg. C to form {beta}-Yb{sub 2}(SO{sub 4}){sub 3}. The structure of a twinned crystal of {beta}-Yb{sub 2}(SO{sub 4}){sub 3} was solved and refined using an amplimode refinement in R3c with an R{sub 1}=0.0755 for 8944 reflections [F{sub o}>3{sigma}(F)], and 0.1483 for all 16,361 reflections. {beta}-Yb{sub 2}(SO{sub 4}){sub 3} has a unique structural topology based on a 3D network of pinwheels. - Graphical abstract: Octahedral-tetrahedral linkages found in Y{sub 2}(SO{sub 4}){sub 3} [and Er{sub 2}(SO{sub 4}){sub 3}] and ss-Yb{sub 2}(SO{sub 4}){sub 3}. Highlights: > The crystal structure and decomposition reactions of Yb{sub 2}(SO{sub 4}){sub 3}.3H{sub 2}O. > The crystal structure of a twinned crystal of {beta}-Yb{sub 2}(SO{sub 4}){sub 3}. > Comparison of the structures of {beta}-Yb{sub 2}(SO{sub 4}){sub 3} and Y{sub 2}(SO{sub 4}){sub 3}.

Mills, Stuart J., E-mail: smills@museum.vic.gov.au [Department of Earth and Ocean Sciences, University of British Columbia, Vancouver, British Columbia, V6T 1Z4 (Canada); Mineral Sciences Department, Natural History Museum of Los Angeles County, 900 Exposition Boulevard, Los Angeles, California 90007 (United States); Petricek, Vaclav [Institute of Physics, Academy of Sciences of the Czech Republic, v.v.i., Na Slovance 2, 182 21 Praha (Czech Republic); Kampf, Anthony R. [Mineral Sciences Department, Natural History Museum of Los Angeles County, 900 Exposition Boulevard, Los Angeles, California 90007 (United States); Herbst-Imer, Regine [Department of Structural Chemistry, University of Goettingen, Tammannstrasse 4, 37077 Goettingen (Germany); Raudsepp, Mati [Department of Earth and Ocean Sciences, University of British Columbia, Vancouver, British Columbia, V6T 1Z4 (Canada)

2011-09-15T23:59:59.000Z

371

Neo-Latin News, Volume 61, Numbers 3 & 4  

E-Print Network [OSTI]

translation that replicates closely the word order and literal meaning of the poem) and an extended analysis. #2;e volume includes three appendices: a glossary of technical rhetorical terms; an analysis of Herbert?s metrics, which includes a table detail... the last book of Cowley?s Plantae, which deals (dif- ferently from books 1-5) with English history, the question might arise whether this could be an in?uence from Propertius?s last book, which deals (dierently from books 1-3) with Roman history. #2;is...

Kallendorf, Craig

2013-01-01T23:59:59.000Z

372

Proposed Southline Transmission Line Project - Volume 3 of 4  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "ofEarly Careerlumens_placard-green.epsEnergy1.pdfMarket37963 Vol. 79, No. 128 Thursday, July 3,31548 Vol.23

373

PSO (FU 2101) Ensemble-forecasts for wind power  

E-Print Network [OSTI]

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

374

TRANSPORTATION ENERGY FORECASTS FOR THE 2007 INTEGRATED ENERGY  

E-Print Network [OSTI]

requirements. The transportation energy demand forecasts make assumptions about fuel price forecastsCALIFORNIA ENERGY COMMISSION TRANSPORTATION ENERGY FORECASTS FOR THE 2007 INTEGRATED ENERGY POLICY ENERGY COMMISSION Gordon Schremp, Jim Page, and Malachi Weng-Gutierrez Principal Authors Jim Page Project

375

Using Bayesian Model Averaging to Calibrate Forecast Ensembles 1  

E-Print Network [OSTI]

Using Bayesian Model Averaging to Calibrate Forecast Ensembles 1 Adrian E. Raftery, Fadoua forecasting often exhibit a spread-skill relationship, but they tend to be underdispersive. This paper of PDFs centered around the individual (possibly bias-corrected) forecasts, where the weights are equal

Washington at Seattle, University of

376

Forecast Combinations of Computational Intelligence and Linear Models for the  

E-Print Network [OSTI]

Forecast Combinations of Computational Intelligence and Linear Models for the NN5 Time Series Forecasting competition Robert R. Andrawis Dept Computer Engineering Cairo University, Giza, Egypt robertrezk@eg.ibm.com November 6, 2010 Abstract In this work we introduce a forecasting model with which we participated

Atiya, Amir

377

GET your forecast at the click of a button.  

E-Print Network [OSTI]

GET your forecast at the click of a button. EXPLORE your local weather in detail. PLAN your days favourite locations; · Pan and zoom to any area in Australia; · Combine the latest weather and forecast current temperatures across Australia. MetEyeTM computer screen image displaying the weather forecast

Greenslade, Diana

378

Compatibility of Stand Basal Area Predictions Based on Forecast Combination  

E-Print Network [OSTI]

Compatibility of Stand Basal Area Predictions Based on Forecast Combination Xiongqing Zhang Carr.) in Beijing, forecast combination was used to adjust predicted stand basal areas from these three types of models. The forecast combination method combines information and disperses errors from

Cao, Quang V.

379

MOUNTAIN WEATHER PREDICTION: PHENOMENOLOGICAL CHALLENGES AND FORECAST METHODOLOGY  

E-Print Network [OSTI]

MOUNTAIN WEATHER PREDICTION: PHENOMENOLOGICAL CHALLENGES AND FORECAST METHODOLOGY Michael P. Meyers of the American Meteorological Society Mountain Weather and Forecasting Monograph Draft from Friday, May 21, 2010 of weather analysis and forecasting in complex terrain with special emphasis placed on the role of humans

Steenburgh, Jim

380

Earnings forecast bias -a statistical analysis Franois Dossou  

E-Print Network [OSTI]

Earnings forecast bias - a statistical analysis François Dossou Sandrine Lardic** Karine Michalon' earnings forecasts is an important aspect of research for different reasons: Many empirical studies employ analysts' consensus forecasts as a proxy for the market's expectations of future earnings in order

Paris-Sud XI, Université de

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

Using Large Datasets to Forecast Sectoral Employment Rangan Gupta*  

E-Print Network [OSTI]

Using Large Datasets to Forecast Sectoral Employment Rangan Gupta* Department of Economics Bayesian and classical methods to forecast employment for eight sectors of the US economy. In addition-sample period and January 1990 to March 2009 as the out-of- sample horizon, we compare the forecast performance

Ahmad, Sajjad

382

Power load forecasting Organization: Huizhou Electric Power, P. R. China  

E-Print Network [OSTI]

Power load forecasting Organization: Huizhou Electric Power, P. R. China Presenter: Zhifeng Hao can be divided into load forecasting and electrical consumption predicting according to forecasting in generators macroeconomic control, power exchange plan and so on. And the prediction is from one day to seven

383

Accuracy of near real time updates in wind power forecasting  

E-Print Network [OSTI]

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

Heinemann, Detlev

384

Weighted Parametric Operational Hydrology Forecasting Thomas E. Croley II1  

E-Print Network [OSTI]

1 Weighted Parametric Operational Hydrology Forecasting Thomas E. Croley II1 1 Great Lakes forecasts in operational hydrology builds a sample of possibilities for the future, of climate series from-parametric method can be extended into a new weighted parametric hydrological forecasting technique to allow

385

Forecasting wave height probabilities with numerical weather prediction models  

E-Print Network [OSTI]

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

Stevenson, Paul

386

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

E-Print Network [OSTI]

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

Povinelli, Richard J.

387

CALIFORNIA ENERGY DEMAND 2008-2018 STAFF REVISED FORECAST  

E-Print Network [OSTI]

CALIFORNIA ENERGY COMMISSION CALIFORNIA ENERGY DEMAND 2008-2018 STAFF REVISED FORECAST forecast is the combined product of the hard work and expertise of numerous staff members in the Demand, and utilities. Mitch Tian prepared the peak demand forecast. Ted Dang prepared the historic energy consumption

388

CALIFORNIA ENERGY DEMAND 2008-2018 STAFF REVISED FORECAST  

E-Print Network [OSTI]

CALIFORNIA ENERGY COMMISSION CALIFORNIA ENERGY DEMAND 2008-2018 STAFF REVISED FORECAST forecast is the combined product of the hard work and expertise of numerous staff in the Demand Analysis. Mitch Tian prepared the peak demand forecast. Ted Dang prepared the historic energy consumption data

389

Draft for Public Comment Appendix A. Demand Forecast  

E-Print Network [OSTI]

Draft for Public Comment A-1 Appendix A. Demand Forecast INTRODUCTION AND SUMMARY A 20-year forecast of electricity demand is a required component of the Council's Northwest Regional Conservation had a tradition of acknowledging the uncertainty of any forecast of electricity demand and developing

390

Forecasting Market Demand for New Telecommunications Services: An Introduction  

E-Print Network [OSTI]

Forecasting Market Demand for New Telecommunications Services: An Introduction Peter Mc to redress this situation by presenting a discussion of the issues involved in demand forecasting for new or consultancy clients. KEYWORDS: Demand Forecasting, New Product Marketing, Telecommunica­ tions Services. 1 #12

McBurney, Peter

391

Using Belief Functions to Forecast Demand for Mobile Satellite Services  

E-Print Network [OSTI]

Using Belief Functions to Forecast Demand for Mobile Satellite Services Peter McBurney and Simon.j.mcburney,s.d.parsonsg@elec.qmw.ac.uk Abstract. This paper outlines an application of belief functions to forecasting the demand for a new service in a new category, based on new technology. Forecasting demand for a new product or service

McBurney, Peter

392

CSUF ECONOMIC OUTLOOK AND FORECASTS MIDYEAR UPDATE -APRIL 2014  

E-Print Network [OSTI]

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

de Lijser, Peter

393

A BAYESIAN MODEL COMMITTEE APPROACH TO FORECASTING GLOBAL SOLAR RADIATION  

E-Print Network [OSTI]

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

Boyer, Edmond

394

FORECASTING SOLAR RADIATION PRELIMINARY EVALUATION OF AN APPROACH  

E-Print Network [OSTI]

FORECASTING SOLAR RADIATION -- PRELIMINARY EVALUATION OF AN APPROACH BASED UPON THE NATIONAL, and undertake a preliminary evaluation of, a simple solar radiation forecast model using sky cover predictions forecasts is 0.05o in latitude and longitude. Solar Radiation model: The model presented in this paper

Perez, Richard R.

395

Process For The Preparation Of 3,4-Dihyd Roxybutanoic Acid And Salts Thereof  

DOE Patents [OSTI]

A process for the preparation of 3,4-dihydroxybutanoic acid (1) and salts thereof from a glucose source containing 1,4-linked glucose as a substituent is described. The process uses an alkali metal hdyroxide and hydrogen peroxide to convert the glucose source to (1). The compound (1) is useful as a chemical intermediate to naturally occurring fatty acids and is used to prepare 3,4-dihydroxybutanoic acid-gamma-lactone (2) and furanone (3), particularly stereoisomers of these compounds.

Hollingsworth, Rawle I. (Haslett, MI)

1994-06-07T23:59:59.000Z

396

Process for the preparation of 3,4-dihydroxybutanoic acid and salts thereof  

DOE Patents [OSTI]

A process for the preparation of 3,4-dihydroxybutanoic acid (1) and salts thereof from a glucose source containing 1,4-linked glucose as a substituent is described. The process uses an alkali metal hdyroxide and hydrogen peroxide to convert the glucose source to (1). The compound (1) is useful as a chemical intermediate to naturally occurring fatty acids and is used to prepare 3,4-dihydroxybutanoic acid-gamma-lactone (2) and furanone (3), particularly stereoisomers of these compounds.

Hollingsworth, Rawle I. (Haslett, MI)

1994-01-01T23:59:59.000Z

397

E-Print Network 3.0 - apolipoprotein e4 genotype Sample Search...  

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

human apolipoprotein E3 or E4... : ... Source: Columbia University, Taub Institute, Cognitive Neuroscience Division Collection: Biology and Medicine 2 Association between the...

398

Solution Structure of 4'-Phosphopantetheine - GmACP3 from Geobacter...  

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

Solution Structure of 4'-Phosphopantetheine - GmACP3 from Geobacter Metallireducens: A Specialized Acyl Carrier Protein with Atypical Structural Features and a Putative Role in...

399

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

E-Print Network [OSTI]

capital requirements and research and development programs in the alum inum industry. : CONCLUSIONS Forecasting the use of conservation techndlo gies with a market penetration model provides la more accountable method of projecting aggrega...

Lang, K.

1982-01-01T23:59:59.000Z

400

Issues in midterm analysis and forecasting, 1996  

SciTech Connect (OSTI)

This document consists of papers which cover topics in analysis and modeling that underlie the Annual Energy Outlook 1996. Topics include: The Potential Impact of Technological Progress on U.S. Energy Markets; The Outlook for U.S. Import Dependence; Fuel Economy, Vehicle Choice, and Changing Demographics, and Annual Energy Outlook Forecast Evaluation.

NONE

1996-08-01T23:59:59.000Z

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.


401

Forecasting Turbulent Modes with Nonparametric Diffusion Models  

E-Print Network [OSTI]

This paper presents a nonparametric diffusion modeling approach for forecasting partially observed noisy turbulent modes. The proposed forecast model uses a basis of smooth functions (constructed with the diffusion maps algorithm) to represent probability densities, so that the forecast model becomes a linear map in this basis. We estimate this linear map by exploiting a previously established rigorous connection between the discrete time shift map and the semi-group solution associated to the backward Kolmogorov equation. In order to smooth the noisy data, we apply diffusion maps to a delay embedding of the noisy data, which also helps to account for the interactions between the observed and unobserved modes. We show that this delay embedding biases the geometry of the data in a way which extracts the most predictable component of the dynamics. The resulting model approximates the semigroup solutions of the generator of the underlying dynamics in the limit of large data and in the observation noise limit. We will show numerical examples on a wide-range of well-studied turbulent modes, including the Fourier modes of the energy conserving Truncated Burgers-Hopf (TBH) model, the Lorenz-96 model in weakly chaotic to fully turbulent regimes, and the barotropic modes of a quasi-geostrophic model with baroclinic instabilities. In these examples, forecasting skills of the nonparametric diffusion model are compared to a wide-range of stochastic parametric modeling approaches, which account for the nonlinear interactions between the observed and unobserved modes with white and colored noises.

Tyrus Berry; John Harlim

2015-01-27T23:59:59.000Z

402

Do quantitative decadal forecasts from GCMs provide  

E-Print Network [OSTI]

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

Stevenson, Paul

403

Issues in midterm analysis and forecasting 1998  

SciTech Connect (OSTI)

Issues in Midterm Analysis and Forecasting 1998 (Issues) presents a series of nine papers covering topics in analysis and modeling that underlie the Annual Energy Outlook 1998 (AEO98), as well as other significant issues in midterm energy markets. AEO98, DOE/EIA-0383(98), published in December 1997, presents national forecasts of energy production, demand, imports, and prices through the year 2020 for five cases -- a reference case and four additional cases that assume higher and lower economic growth and higher and lower world oil prices than in the reference case. The forecasts were prepared by the Energy Information Administration (EIA), using EIA`s National Energy Modeling System (NEMS). The papers included in Issues describe underlying analyses for the projections in AEO98 and the forthcoming Annual Energy Outlook 1999 and for other products of EIA`s Office of Integrated Analysis and Forecasting. Their purpose is to provide public access to analytical work done in preparation for the midterm projections and other unpublished analyses. Specific topics were chosen for their relevance to current energy issues or to highlight modeling activities in NEMS. 59 figs., 44 tabs.

NONE

1998-07-01T23:59:59.000Z

404

> BUREAU HOME > AUSTRALIA > QUEENSLAND > FORECASTS MARINE SERVICE  

E-Print Network [OSTI]

> BUREAU HOME > AUSTRALIA > QUEENSLAND > FORECASTS MARINE SERVICE IMPROVEMENTS FOR QUEENSLAND across Australia. FURTHER INFORMATION: www.bom.gov.au/NexGenFWS © Commonwealth of Australia, 2013 From © Copyright Commonwealth of Australia 2013, Bureau of Meteorology Queensland Australia Coastal Waters Zones

Greenslade, Diana

405

Modeling of Uncertainty in Wind Energy Forecast  

E-Print Network [OSTI]

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

406

Forecasting sudden changes in environmental pollution patterns  

E-Print Network [OSTI]

Forecasting sudden changes in environmental pollution patterns María J. Olascoagaa,1 and George of Mexico in 2010. We present a methodology to predict major short-term changes in en- vironmental River's mouth in the Gulf of Mexico. The resulting fire could not be extinguished and the drilling rig

Olascoaga, Maria Josefina

407

Amending Numerical Weather Prediction forecasts using GPS  

E-Print Network [OSTI]

to validate the amounts of humidity in Numerical Weather Prediction (NWP) model forecasts. This paper presents. Satellite images and Numerical Weather Prediction (NWP) models are used together with the synoptic surface. In this paper, a case is presented for which the operational Numerical Weather Prediction Model (NWP) HIRLAM

Stoffelen, Ad

408

Prediction versus Projection: How weather forecasting and  

E-Print Network [OSTI]

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

Howat, Ian M.

409

Facebook IPO updated valuation and user forecasting  

E-Print Network [OSTI]

Facebook IPO updated valuation and user forecasting Based on: Amendment No. 6 to Form S-1 (May 9. Peter Cauwels and Didier Sornette, Quis pendit ipsa pretia: facebook valuation and diagnostic Extreme Growth JPMPaper Cauwels and Sornette 840 1110 1820 S1- filing- May 9 2012 1006 1105 1371 Facebook

410

FORECAST OF VACANCIES Until end of 2016  

E-Print Network [OSTI]

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

411

Segmenting Time Series for Weather Forecasting  

E-Print Network [OSTI]

) models is summarised as weather forecast texts. In the domain of gas turbines, sensor data from an operational gas turbine is summarised for the maintenance engineers. More details on SUMTIME have been to develop a generic model for summarisation of time series data. Initially, we have applied standard

Sripada, Yaji

412

Online short-term solar power forecasting  

SciTech Connect (OSTI)

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

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

2009-10-15T23:59:59.000Z

413

Wholesale Electricity Price Forecast This appendix describes the wholesale electricity price forecast of the Fifth Northwest Power  

E-Print Network [OSTI]

Wholesale Electricity Price Forecast This appendix describes the wholesale electricity price as traded on the wholesale, short-term (spot) market at the Mid-Columbia trading hub. This price represents noted. BASE CASE FORECAST The base case wholesale electricity price forecast uses the Council's medium

414

CMS 3.4 Temporary Changes, 4/10/95 | Department of Energy  

Office of Environmental Management (EM)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "of EnergyEnergy Cooperation |South42.2 (AprilBiden SaysEnergy Office FY144June 2012 CMPC4 Temporary

415

Operational forecasting based on a modified Weather Research and Forecasting model  

SciTech Connect (OSTI)

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

Lundquist, J; Glascoe, L; Obrecht, J

2010-03-18T23:59:59.000Z

416

Synthesis of HA-Seeded TTCP (Ca4(PO4)2O) Powders at 12301C from Ca(CH3COO)2 . H2O and NH4H2PO4  

E-Print Network [OSTI]

Synthesis of HA-Seeded TTCP (Ca4(PO4)2O) Powders at 12301C from Ca(CH3COO)2 . H2O and NH4H2PO4 University, Clemson, South Carolina 29634 Tetracalcium phosphate (TTCP) Ca4(PO4)2O is one of the major powder- state process by soaking Ca- and P-containing precursors be- tween 13501 and 15001C. Such procedures

Tas, A. Cuneyt

417

Forecastability as a Design Criterion in Wind Resource Assessment: Preprint  

SciTech Connect (OSTI)

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

Zhang, J.; Hodge, B. M.

2014-04-01T23:59:59.000Z

418

COMPUTER SCIENCE 2012-2013 1 2 3 4 5 6 7 8  

E-Print Network [OSTI]

) _________ CSC 3000+ (3) CSC 4101 Prog Lang (3) CSC 3501 Comp. Org & Design CSCDS/N C Grade of "C" or better elective **Pre-approved concentration area electives: NO MORE THAN 2 ELECTIVE COURSES FROM THE SAME) _________ Area Elective (DS/N) (4) ________ Foreign Lang Sequence F (3) Gen Ed HUMN ENGL or HNRS 2000+ (3) Gen Ed

Stephens, Jacqueline

419

Compatibility of V/Y2O3/V-4Cr-4Ti Coatings with Liquid Flowing Li  

SciTech Connect (OSTI)

Characterization was performed on two-layer V/Y2O3 coatings deposited on V-4Cr-4Ti and exposed to Li in a thermal convection loop at 400 -700 C for 2,350h. The coatings exposed at lower temperatures ( 504 C) showed adequate electrical resistivity at 500 C in vacuum after exposure and the morphology of the Y2O3 layer was unchanged. XPS and EELS analysis showed no indication of Li penetration to the oxide layer after exposure at 437 C. However, coatings exposed at higher temperatures ( 565 C) showed higher conductivity after exposure and a change in the Y2O3 grain morphology was apparent using TEM. At the highest temperature, a continuous layer of recrystallized oxide grains was observed adjacent to the substrate suggesting that a reaction occurred between Y2O3 and V-4Cr-4Ti rather than Li infiltration. However, no layer formed during a 2,350h anneal at 700 C of an unexposed coating.

Unocic, Kinga A [ORNL; Leonard, Donovan N [ORNL; Meyer III, Harry M [ORNL; Lance, Michael J [ORNL; Pint, Bruce A [ORNL

2012-01-01T23:59:59.000Z

420

C3 and C4 Photosynthesis James R Ehleringer and Thure E Cerling  

E-Print Network [OSTI]

C3 and C4 Photosynthesis James R Ehleringer and Thure E Cerling Volume 2, The Earth system-in-Chief Ted Munn John Wiley & Sons, Ltd, Chichester, 2002 #12;C3 and C4 Photosynthesis James R Ehleringer to organic forms through photosynthesis. Among terrestrial and aquatic auto- trophs, there are three

Ehleringer, Jim

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


421

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

E-Print Network [OSTI]

SUN MON TUE WED THR FRI SAT SUN MON TUE WED THR FRI SAT 1 2 3 4 5 6 7 1 2 3 4 Closed Closed Closed Open Open Open 1p-9p 8a-10p 8a-10p 1p-9p 8a-10p 8a-10p 8a-10p SUN MON TUE WED THR FRI SAT SUN MON TUE 8a-10p 8a-10p 8a-10p 8a-10p 8a-5p 12p-6p 1p-9p 8a-12p SUN MON TUE WED THR FRI SAT room Ext. 1 2 3 4

Dyer, Bill

422

Analysis and forecast improvements from simulated satellite water vapor profiles and rainfall using a global data assimilation system  

SciTech Connect (OSTI)

The potential improvements of analyses and forecasts from the use of satellite-observed rainfall and water vapor measurements from the Defense Meteorological Satellite Program Sensor Microwave (SSM) T-1 and T-2 instruments are investigated in a series of observing system simulation experiments using the Air Force Phillips Laboratory (formerly Air Force Geophysics Laboratory) data assimilation system. Simulated SSM radiances are used directly in a radiance retrieval step following the conventional optimum interpolation analysis. Simulated rainfall rates in the tropics are used in a moist initialization procedure to improve the initial specification of divergence, moisture, and temperature. Results show improved analyses and forecasts of relative humidity and winds compared to the control experiment in the tropics and the Southern Hemisphere. Forecast improvements are generally restricted to the first 1-3 days of the forecast. 27 refs., 11 figs.

Nehrkorn, T.; Hoffman, R.N.; Louis, J.F.; Isaacs, R.G.; Moncet, J.L. (Atmospheric and Environmental Research, Inc., Cambridge, MA (United States))

1993-10-01T23:59:59.000Z

423

Data:4dc418a0-7acb-4a01-931d-03b8337c3ec3 | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of48d9ff47edf3a87dcc95b Nobfef8fa58cf7 No revision hasdbc4366-1496-4aba-a1e8-cd2ceca96548 No revision3b8337c3ec3

424

Forecasting of preprocessed daily solar radiation time series using neural networks  

SciTech Connect (OSTI)

In this paper, we present an application of Artificial Neural Networks (ANNs) in the renewable energy domain. We particularly look at the Multi-Layer Perceptron (MLP) network which has been the most used of ANNs architectures both in the renewable energy domain and in the time series forecasting. We have used a MLP and an ad hoc time series pre-processing to develop a methodology for the daily prediction of global solar radiation on a horizontal surface. First results are promising with nRMSE {proportional_to} 21% and RMSE {proportional_to} 3.59 MJ/m{sup 2}. The optimized MLP presents predictions similar to or even better than conventional and reference methods such as ARIMA techniques, Bayesian inference, Markov chains and k-Nearest-Neighbors. Moreover we found that the data pre-processing approach proposed can reduce significantly forecasting errors of about 6% compared to conventional prediction methods such as Markov chains or Bayesian inference. The simulator proposed has been obtained using 19 years of available data from the meteorological station of Ajaccio (Corsica Island, France, 41 55'N, 8 44'E, 4 m above mean sea level). The predicted whole methodology has been validated on a 1.175 kWc mono-Si PV power grid. Six prediction methods (ANN, clear sky model, combination..) allow to predict the best daily DC PV power production at horizon d + 1. The cumulated DC PV energy on a 6-months period shows a great agreement between simulated and measured data (R{sup 2} > 0.99 and nRMSE < 2%). (author)

Paoli, Christophe; Muselli, Marc; Nivet, Marie-Laure [University of Corsica, CNRS UMR SPE, Corte (France); Voyant, Cyril [University of Corsica, CNRS UMR SPE, Corte (France); Hospital of Castelluccio, Radiotherapy Unit, Ajaccio (France)

2010-12-15T23:59:59.000Z

425

SUN MON TUE WED THR FRI SAT SUN MON TUE WED THR FRI SAT 2 3 4 5 6 7 8 1 2 3 4 5  

E-Print Network [OSTI]

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

Dyer, Bill

426

Data:F805f6c8-3d68-43c4-ab28-4bedf971b3fc | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home5b9fcbce19 No revision has been approved for this page.b4-a4ba-cd54152b8724 Noc6b7edf0a23ae9774adc No0da3a93c535d Nobedf971b3fc

427

Data:B654abc4-3da6-4aac-ac62-0ce12cd06e3e | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page onb5-dcc1fcffd1f2 No revision has38865d08 No revisionb6dbbdc091c No revision57b27257aa84abc4-3da6-4aac-ac62-0ce12cd06e3e

428

Data:3e3d0435-d5a4-4e79-b389-966bf429bc46 | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of48d9ff47edf3a87dcc95b No revision has been approved64ec514 Noc707c3a4d4cd No revision hasa-c1020f0a5f14

429

Data:Ef3db3dc-7bcd-4f57-aa5b-f5b4b6f5303c | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Pagec-01b596aa1744b55997c1ccEeae2669-ec94-4cc4-bbae-0108084310cc Nobeedba3b42c No revision has been approvedb-f5b4b6f5303c No

430

SOLID WASTE INTEGRATED FORECAST TECHNICAL (SWIFT) REPORT FY2005 THRU FY2035 2005.0 VOLUME 2  

SciTech Connect (OSTI)

This report provides up-to-date life cycle information about the radioactive solid waste expected to be managed by Hanford's Waste Management (WM) Project from onsite and offsite generators. It includes: (1) an overview of Hanford-wide solid waste to be managed by the WM Project; (2) multi-level and waste class-specific estimates; (3) background information on waste sources; and (4) comparisons to previous forecasts and other national data sources. The focus of this report is low-level waste (LLW), mixed low-level waste (MLLW), and transuranic waste, both non-mixed and mixed (TRU(M)). Some details on hazardous waste are also provided, however, this information is not considered comprehensive. This report includes data requested in December, 2004 with updates through March 31,2005. The data represent a life cycle forecast covering all reported activities from FY2005 through the end of each program's life cycle and are an update of the previous FY2004.1 data version.

BARCOT, R.A.

2005-08-17T23:59:59.000Z

431

Thermodynamics of Cr2O3, FeCr2O4, ZnCr2O4 and CoCr2O4  

SciTech Connect (OSTI)

High temperature heat capacity measurements were obtained for Cr{sub 2}O{sub 3}, FeCr{sub 2}O{sub 4}, ZnCr{sub 2}O{sub 4} and CoCr{sub 2}O{sub 4} using a differential scanning calorimeter. These data were combined with previously-available, overlapping heat capacity data at temperatures up to 400 K and fitted to 5-parameter Maier-Kelley C{sub p}(T) equations. Expressions for molar entropy were then derived by suitable integration of the Maier-Kelley equations in combination with recent S{sup o}(298) evaluations. Finally, a database of high temperature equilibrium measurements on the formation of these oxides was constructed and critically evaluated. Gibbs energies of Cr{sub 2}O{sub 3}, FeCr{sub 2}O{sub 4} and CoCr{sub 2}O{sub 4} were referenced by averaging the most reliable results at reference temperatures of 1100, 1400 and 1373 K, respectively, while Gibbs energies for ZnCr{sub 2}O{sub 4} were referenced to the results of Jacob [Thermochim. Acta 15 (1976) 79-87] at 1100 K. Thermodynamic extrapolations from the high temperature reference points to 298.15 K by application of the heat capacity correlations gave {Delta}{sub f}G{sup o}(298) = -1049.96, -1339.40, -1428.35 and -1326.75 kJ mol{sup -1} for Cr{sub 2}O{sub 3}, FeCr{sub 2}O{sub 4}, ZnCr{sub 2}O{sub 4} and CoCr{sub 2}O{sub 4}, respectively.

Ziemniak SE, Anovitz LM, Castelli RA, Porter WD

2007-01-09T23:59:59.000Z

432

European Wind Energy Conference -Brussels, Belgium, April 2008 Data mining for wind power forecasting  

E-Print Network [OSTI]

European Wind Energy Conference - Brussels, Belgium, April 2008 Data mining for wind power-term forecasting of wind energy produc- tion up to 2-3 days ahead is recognized as a major contribution the improvement of predic- tion systems performance is recognised as one of the priorities in wind energy research

Paris-Sud XI, Université de

433

GENERAL TECHNICAL REPORT PSW-GTR-245 Forecasting Productivity in Forest Fire  

E-Print Network [OSTI]

, efficiency analysis) for economic analysis of the potential hazard posed by forest ecosystems conditionsGENERAL TECHNICAL REPORT PSW-GTR-245 50 Forecasting Productivity in Forest Fire Suppression Francisco Rodríguez y Silva2 and Armando González-Cabán3 Abstract The abandonment of land, the high energy

Standiford, Richard B.

434

Data:52a240c1-3aa9-4ae7-a830-4ba870b4b62e | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of48d9ff47edf3a87dcc95b Nobfef8fa58cf74865627f783 Noaad3-ec22188355fac30654210ad7 No revision has0-4ba870b4b62e

435

Data:3e6bc317-dda8-4eee-baf6-0c4d75ecc4a8 | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of48d9ff47edf3a87dcc95b No revision has been approved64ec514 Noc707c3a4d4cd No40aac0c56 No revision has

436

Data:3e949566-b253-4a4f-bdf5-980b4f1d5c7f | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of48d9ff47edf3a87dcc95b No revision has been approved64ec514 Noc707c3a4d4cd No40aac0c56c7c309c6 No8b9dc246fca

437

Data:Baafa088-a606-4afe-b4d3-137011229ee4 | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page onb5-dcc1fcffd1f2 No revision has38865d08d442d74d244 No revision has been53122027 NoBaafa088-a606-4afe-b4d3-137011229ee4

438

Data:D0039bd5-d4e4-4f2e-a325-e7c3cccd7cbf | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Pagec-01b596aa1744 No revision has been approved for this page.D0039bd5-d4e4-4f2e-a325-e7c3cccd7cbf No revision has been

439

Data:4066f4b3-befe-4d50-994c-7f76b04599f4 | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of48d9ff47edf3a87dcc95b No revision has beend26-1acc36863a1d No8-b13b41761ee4 Nof4bf7241 No revision hasb04599f4

440

Identification and lattice location of oxygen impurities in -Si3N4 J. C. Idrobo,1,2,3,a  

E-Print Network [OSTI]

Identification and lattice location of oxygen impurities in -Si3N4 J. C. Idrobo,1,2,3,a M. P. Oxley but there is no direct evidence for their identity or lattice location. In bulk materials electron microscopy can of oxygen in the bulk material. Scanning transmission electron microscopy S/TEM has the spatial resolution

Pennycook, Steve

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
to obtain the most current and comprehensive results.


441

Electroproduction of strangeness on (Lambda)H-3,4 bound states on helium  

SciTech Connect (OSTI)

The A(e,eK+)X reaction has been investigated at Jefferson Laboratory. Data were taken for Q{sup 2} approx. 0.35 GeV{sup 2} at a beam energy of 3.245 GeV for 1H,3He and 4He targets. Evidence for Lambda-hypernuclear bound states is seen for 3,4He targets. This is the first time that the electroproduction of these hypernuclei has been observed.

F. Dohrmann; D. Abbott; A. Ahmidouch; P. Ambrozewicz; C. S. Armstrong; J. Arrington; R. Asaturyan; K. Assamagan; S. Avery; K. Bailey; S. Beedoe; H. Bitao; H. Breuer; D. S. Brown; R. Carlini; J. Cha; N. Chant; E. Christy; A. Cochran; L. Cole; G. Collins; C. Cothran; J. Crowder; W. J. Cummings; S. Danagoulian; F. Duncan; J. Dunne; D. Dutta; T. Eden; M. Elaasar; R. Ent; L. Ewell; H. Fenker; H. T. Fortune; Y. Fujii; L. Gan; H. Gao; K. Garrow; D. F. Geesaman; P. Gueye; K. Gustafsson; K. Hafidi; J. O. Hansen; W. Hinton; H. E. Jackson; H. Juengst; C. Keppel; A. Klein; D. Koltenuk; Y. Liang; J. H. Liu; A. Lung; D. Mack; R. Madey; P. Markowitz; C. J. Martoff; D. Meekins; J. Mitchell; T. Miyoshi; H. Mkrtchyan; R. Mohring; S. K. Mtingwa; B. Mueller; T. G. O'Neill; G. Niculescu; I. Niculescu; D. Potterveld; J. W. Price; B. A. Raue; P. E. Reimer; J. Reinhold; J. Roche; P. Roos; M. Sarsour; Y. Sato; G. Savage; R. Sawafta; R. E. Segel; A. Yu. Semenov; S. Stepanyan; V. Tadevosian; S. Tajima; L. Tang; B. Terburg; A. Uzzle; S. Wood; H. Yamaguchi; C. Yan; C. Yan; L. Yuan; M. Zeier; B. Zeidman; B. Zihlmann

2005-05-01T23:59:59.000Z

442

Physics 111 PRACTICE COMMON Exam 3 Name (Print): _______________________________ 4 Digit ID:________ Section: ______  

E-Print Network [OSTI]

N 2. A 3.0-kg ball with an initial velocity of (4 + 3 ) m/s collides with a wall and rebounds with a velocity of (-4 + 3 ) m/s. What is the impulse exerted on the ball by the wall? a. +24 N s b. -24 N s c acceleration. a. 12 rad b. 8.0 rad c. 10 rad d. 16 rad e. 6.8 rad #12;Page of 73 7. A wheel rotates about

Gary, Dale E.

443

Conservation of Mass 163 4.3.5 Beyond Euler's Method For Reaction-Diffusion  

E-Print Network [OSTI]

mol of gas occupies a volume of 22.4 L, and 1 L = 0.001 m3 . #12;164 Conservation of Mass Let u denote processing air at the rate R = 1.5 m3 / s with an efficiency E = 0.9 times the gas concentration of u(, tConservation of Mass 163 4.3.5 Beyond Euler's Method For Reaction-Diffusion PDE: Diffusion of Gas

Chicone, Carmen

444

Test application of a semi-objective approach to wind forecasting for wind energy applications  

SciTech Connect (OSTI)

The test application of the semi-objective (S-O) wind forecasting technique at three locations is described. The forecasting sites are described as well as site-specific forecasting procedures. Verification of the S-O wind forecasts is presented, and the observed verification results are interpreted. Comparisons are made between S-O wind forecasting accuracy and that of two previous forecasting efforts that used subjective wind forecasts and model output statistics. (LEW)

Wegley, H.L.; Formica, W.J.

1983-07-01T23:59:59.000Z

445

Data:17d3f303-7079-4ec4-9429-78fc0721020b | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of48d9ff47edf3 No revision has beenba5b1d371 Nob97eb4d202d0d9aabb1ca46d No revisionc4b993dd5af No revision

446

Data:30037431-e493-4d3e-8b4f-66c77543621b | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of48d9ff47edf3 Noc7e1a8ffe No869d7ced0c4 No revisionfef0d09-aabf-4bde-8998-61c834c2c231c77543621b No revision

447

Synthesis of ethyl N-carbobenzoxy-L-valyl-L-valyl-4-amino-3-hydroxyoctanoate  

E-Print Network [OSTI]

~~I~H2~mH~~~H~I?H CH2~0H Figure 1. Structure of isovaleryl-L-valyl-L-valyl-(3S, 4S)-statyl-L-alanyl-(3S, 4S)-statine (pepstatin). Table I. Biological Activity of Pepstatin and Analogs 1 compounds I050 (ug/ml ) pepsin cathepsin D renin AHMHA IVA...-Val-Val Ac-Ala-AHMHA Ac-Leu-AHMHA Ac-Val-AHMHA IVA-Val-AHMHA-Val-AHMHA IVA-Val-Val-AHMHA-Ala-AHMHA &250 &250 26 9. 3 2. 4 0. 01 0. 01 &250 &250 280 8. 5 4. 4 0. 05 0. 005 &250 &250 &250 &250 &250 &250 4. 5 a ID50...

Chesky, Elizabeth Gourley

1982-01-01T23:59:59.000Z

448

Data:Abd7f871-1cef-4e3a-b902-0938d3a4b37d | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office695810186Aade79ec-8628-4e5e-a921-24d1b399e432 NoAbd7f871-1cef-4e3a-b902-0938d3a4b37d No revision has been

449

Data:3aca5136-67e4-4fb6-a05f-3cb32d2e6ccc | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of48d9ff47edf3 Noc7e1a8ffef-15f046e6d97e No revisionfb5101c21c4f Noe4-4fb6-a05f-3cb32d2e6ccc No revision has

450

Building Nim E. Duchene1 M. Dufour2 S. Heubach3 U. Larsson4  

E-Print Network [OSTI]

Building Nim E. Duchene1 M. Dufour2 S. Heubach3 U. Larsson4 1Claude Bernard University of Lyon 1 of Nim Definition of Building Nim Results for Nim Results for Building Nim Easy results s = 3 s > 3 #12;Building Nim with n tokens on s stacks Many variations of Nim modify moves (Wythoff) modify

Heubach, Silvia

451

Richard Palmer1, Austin Polebitski2, Eset Alemu3, and Bruce Meaker4  

E-Print Network [OSTI]

Incorporates variation in streamflow, energy prices and environmental flow requirements Used to develop Costs ($$$) for customer base Use retrospective hydrologic and energy price forecasts to drive DSS Developed multi-objective optimization model (large scale linear program) Results indicated that the 16

Nagurney, Anna

452

Forecasting hotspots using predictive visual analytics approach  

SciTech Connect (OSTI)

A method for forecasting hotspots is provided. The method may include the steps of receiving input data at an input of the computational device, generating a temporal prediction based on the input data, generating a geospatial prediction based on the input data, and generating output data based on the time series and geospatial predictions. The output data may be configured to display at least one user interface at an output of the computational device.

Maciejewski, Ross; Hafen, Ryan; Rudolph, Stephen; Cleveland, William; Ebert, David

2014-12-30T23:59:59.000Z

453

Solar Wind Forecasting with Coronal Holes  

E-Print Network [OSTI]

An empirical model for forecasting solar wind speed related geomagnetic events is presented here. The model is based on the estimated location and size of solar coronal holes. This method differs from models that are based on photospheric magnetograms (e.g., Wang-Sheeley model) to estimate the open field line configuration. Rather than requiring the use of a full magnetic synoptic map, the method presented here can be used to forecast solar wind velocities and magnetic polarity from a single coronal hole image, along with a single magnetic full-disk image. The coronal hole parameters used in this study are estimated with Kitt Peak Vacuum Telescope He I 1083 nm spectrograms and photospheric magnetograms. Solar wind and coronal hole data for the period between May 1992 and September 2003 are investigated. The new model is found to be accurate to within 10% of observed solar wind measurements for its best one-month periods, and it has a linear correlation coefficient of ~0.38 for the full 11 years studied. Using a single estimated coronal hole map, the model can forecast the Earth directed solar wind velocity up to 8.5 days in advance. In addition, this method can be used with any source of coronal hole area and location data.

S. Robbins; C. J. Henney; J. W. Harvey

2007-01-09T23:59:59.000Z

454

A survey on wind power ramp forecasting.  

SciTech Connect (OSTI)

The increasing use of wind power as a source of electricity poses new challenges with regard to both power production and load balance in the electricity grid. This new source of energy is volatile and highly variable. The only way to integrate such power into the grid is to develop reliable and accurate wind power forecasting systems. Electricity generated from wind power can be highly variable at several different timescales: sub-hourly, hourly, daily, and seasonally. Wind energy, like other electricity sources, must be scheduled. Although wind power forecasting methods are used, the ability to predict wind plant output remains relatively low for short-term operation. Because instantaneous electrical generation and consumption must remain in balance to maintain grid stability, wind power's variability can present substantial challenges when large amounts of wind power are incorporated into a grid system. A critical issue is ramp events, which are sudden and large changes (increases or decreases) in wind power. This report presents an overview of current ramp definitions and state-of-the-art approaches in ramp event forecasting.

Ferreira, C.; Gama, J.; Matias, L.; Botterud, A.; Wang, J. (Decision and Information Sciences); (INESC Porto)

2011-02-23T23:59:59.000Z

455

RELAP5-3D Developmental Assessment: Comparison of Versions 4.0.3is and 2.4.2is  

SciTech Connect (OSTI)

Figures have been generated comparing the parameters used in the developmental assessment of the RELAP5-3D code using versions 4.0.3is and 2.4.2is. The figures, which are the same as those used in Volume III of the RELAP5-3D code manual, compare calculations using the semi-implicit solution scheme with available experiment data. These figures provide a quick, visual indication of how the code predictions changed between these two code versions and can be used to identify cases in which the assessment judgment may need to be changed in Volume III of the code manual. Changes to the assessment judgments made after reviewing all of the assessment cases are also provided.

Paul D. Bayless

2012-09-01T23:59:59.000Z

456

Data:2c75fac3-c8de-4af9-9fd3-ec543d395e4d | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of48d9ff47edf3 Noc7e1a8ffe No revision hase-119dde1f65f8d0bed8c2636 Nofac3-c8de-4af9-9fd3-ec543d395e4d No

457

Data:34702ed8-2f91-4f3c-af4a-a423d3c483ad | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of48d9ff47edf3 Noc7e1a8ffe No869d7ced0c4aa77f45ad4a No4059736ce1f No revision862b6a0e9f3 No revisiond3c483ad No

458

Stellar Astrophysics Requirements NERSC Forecast  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administrationcontroller systemsBiSiteNeutron Scattering4 ByWatchingStateAbout Us

459

3-nitro-1,2,4-triazol-5-one, a less sensitive explosive  

DOE Patents [OSTI]

A less sensitive explosive, 3-nitro-1,2,4-triazol-5-one. The compound 3-nitro-1,2,4-triazol-5-one (NTO) has a crystal density of 1.93 g/cm.sup.3 and calculated detonation velocity and pressure equivalent to those of RDX. It can be prepared in high yield from inexpensive starting materials in a safe synthesis. Results from initial small-scale sensitivity tests indicate that NTO is less sensitive than RDX and HMX in all respects. A 4.13 cm diameter, unconfined plate-dent test at 92% of crystal density gave the detonation pressure predicted for NTO by the BKW calculation.

Lee, Kien-Yin (Los Alamos, NM); Coburn, Michael D. (Los Alamos, NM)

1988-01-01T23:59:59.000Z

460

Process for the preparation of 3,4-dihydroxybutanoic acid and salts thereof  

DOE Patents [OSTI]

A process for the preparation of 3,4-dihydroxybutanoic acid (1) and salts thereof from a glucose source containing 1,4-1inked glucose as a substituent is described. The process uses an alkali metal hdyroxide and hydrogen peroxide to convert the glucose source to (1). The compound (1) is useful as a chemical intermediate to naturally occurring fatty acids and is used to prepare 3,4-dihydroxybutanoic acid-gamma-lactone (2) and furanone (3), particularly stereoisomers of these compounds.

Hollingsworth, Rawle I. (Haslett, MI)

1994-01-01T23:59:59.000Z

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.


461

Data:58dc22b4-3065-4db8-b564-731cc3c3fff5 | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of48d9ff47edf3a87dcc95b3da-78f7ef0b79f6 No446b-9fca-d407954a4b84 Noaa727c9ff358b3a72a9a41a Nob564-731cc3c3fff5

462

VI. , 3 3. 4 4  

E-Print Network [OSTI]

Planescape Torment Sacrifice Star Wars: Knight of the Old Republic The Elder Scrolls X-COM: UFO Defense (UFO

Kaplan, Alexander

463

(3,3-Difluoro-pyrrolidin-1-yl)-[(2S,4S)-(4-(4-pyrimidin-2-yl-piperazin-1-yl)-pyrrolidin-2-yl]-methanone: A potent, selective, orally active dipeptidyl peptidase IV inhibitor  

SciTech Connect (OSTI)

A series of 4-substituted proline amides was synthesized and evaluated as inhibitors of dipeptidyl pepdidase IV for the treatment of type 2 diabetes. (3,3-Difluoro-pyrrolidin-1-yl)-[(2S,4S)-(4-(4-pyrimidin-2-yl-piperazin-1-yl)-pyrrolidin-2-yl]-methanone (5) emerged as a potent (IC{sub 50} = 13 nM) and selective compound, with high oral bioavailability in preclinical species and low plasma protein binding. Compound 5, PF-00734200, was selected for development as a potential new treatment for type 2 diabetes.

Ammirati, Mark J.; Andrews, Kim M.; Boyer, David D.; Brodeur, Anne M.; Danley, Dennis E.; Doran, Shawn D.; Hulin, Bernard; Liu, Shenping; McPherson, R. Kirk; Orena, Stephen J.; Parker, Janice C.; Polivkova, Jana; Qiu, Xiayang; Soglia, Carolyn B.; Treadway, Judith L.; VanVolkenburg, Maria A.; Wilder, Donald C.; Piotrowski, David W.; Pfizer

2010-10-01T23:59:59.000Z

464

Electrochemical and Solid-State Lithiation of Graphitic C3N4  

SciTech Connect (OSTI)

: Lithiated graphitic carbon n.itride {C3N4 ) was fabricated by electrochemical and solid-state reactions. The addition of Li to C3N4 results in a reaction between the Li and the graphite-like C3N species in C3N4. This irreversible reaction leads to the formation of Li-CH=NR and Li-N=CR2 species, which are detrimental to anode properties. Suitable nitrogen-doped carbon structures for anode applications are predicted to need high concentrations of pyridinic C-N-C terminal bonds and low concentrations of w quaternary C3N species to boost electronic conductivity and reversibly cycle Li ions. 3.5r-- - - -------, Li 25 + 1 5 0.5 KEYWORDS: mrbo11 uilride, lit!Jiatiou, auode, battery Copaoty tmAIVol

Veith, Gabriel M [ORNL; Baggetto, Loic [ORNL; Adamczyk, Leslie A [ORNL; Guo, Bingkun [ORNL; Brown, Suree [ORNL; Sun, Xiao-Guang [ORNL; Albert, Austin A [ORNL; Humble, James R [University of Tennessee, Knoxville (UTK); Barnes, Craig E. [University of Tennessee, Knoxville (UTK); Bojdys, Michael J [University of Liverpool; Dai, Sheng [ORNL; Dudney, Nancy J [ORNL

2013-01-01T23:59:59.000Z

465

A reduced graphene oxide/Co{sub 3}O{sub 4} composite for supercapacitor electrode  

SciTech Connect (OSTI)

20 nm sized Co{sub 3}O{sub 4} nanoparticles are in-situ grown on the chemically reduced graphene oxide (rGO) sheets to form a rGO-Co{sub 3}O{sub 4} composite during hydrothermal processing. The rGO-Co{sub 3}O{sub 4} composite is employed as the pseudocapacitor electrode in the 2 M KOH aqueous electrolyte solution. The rGOCo{sub 3}O{sub 4} composite electrode exhibits a specific capacitance of 472 F/g at a scan rate of 2 mV/s in a two-electrode cell. 82.6% of capacitance is retained when the scan rate increases to 100 mV/s. The rGOCo{sub 3}O{sub 4} composite electrode shows high rate capability and excellent long-term stability. It also exhibits high energy density at relatively high power density. The energy density reaches 39.0 Wh/kg at a power density of 8.3 kW/kg. The super performance of the composite electrode is attributed to the synergistic effects of small size and good redox activity of the Co{sub 3}O{sub 4} particles combined with high electronic conductivity of the rGO sheets.

Xiang, Chengcheng; Li, Ming; Zhi, Mingjia; Manivannan, Ayyakkannu; Wu, Nianqiang

2013-03-15T23:59:59.000Z

466

*1 *2 *3 *4 *5 Achieving Geometric Consistency for Mixed Reality using Reconstructed 3D Models  

E-Print Network [OSTI]

) (b) (c) 13 MR fps fps CAD 6 MR MR Acknowledgment ICT CAD Altair4 Multimedia [1] R. Azuma. A survey. [2] R. Azuma, Y. Baillot, R. Behringer, S. Feiner, S. Julier, and B. MacIntyre. Recent advances. Gounaris, D. Stricker, T. Gleue, P. Daehne, and L. Almeida. Archeoguide: An augmented reality guide

Tokyo, University of

467

Efficient synthesis of 3,4-ethylenedioxythiophenes (EDOT) by Mitsunobu Dolores Caras-Quintero and Peter Buerle*  

E-Print Network [OSTI]

-catalyzed transetherification of 3,4-dialkoxythiophenes with 1,3-propane- diols using widely available reagents was successfully em- ployed for the synthesis of some 3,4-propylenedioxythiophene (ProDOT) derivatives.1,5 Herein, we

Pfeifer, Holger

468

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

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page onb5-dcc1fcffd1f2bb71-d4159a938742e80b26cc4 Nodbb-44ce-80f8-79eb97a58f0a No revisionde0244033

469

E-Print Network 3.0 - alfa-1 alfa-3 alfa-4 Sample Search Results  

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

10 On the use of Runge-Kutta time-marching and multigrid Summary: . 12; 12 AppendixA MATLAB program nstep 5; alfas(1) 0.25; alfas(2) 0.166666666667; alfas(3) 0... .375;...

470

Enhanced Short-Term Wind Power Forecasting and Value to Grid Operations: Preprint  

SciTech Connect (OSTI)

The current state of the art of wind power forecasting in the 0- to 6-hour time frame has levels of uncertainty that are adding increased costs and risk on the U.S. electrical grid. It is widely recognized within the electrical grid community that improvements to these forecasts could greatly reduce the costs and risks associated with integrating higher penetrations of wind energy. The U.S. Department of Energy has sponsored a research campaign in partnership with the National Oceanic and Atmospheric Administration (NOAA) and private industry to foster improvements in wind power forecasting. The research campaign involves a three-pronged approach: 1) a 1-year field measurement campaign within two regions; 2) enhancement of NOAA's experimental 3-km High-Resolution Rapid Refresh (HRRR) model by assimilating the data from the field campaign; and 3) evaluation of the economic and reliability benefits of improved forecasts to grid operators. This paper and presentation provides an overview of the regions selected, instrumentation deployed, data quality and control, assimilation of data into HRRR, and preliminary results of HRRR performance analysis.

Orwig, K.; Clark, C.; Cline, J.; Benjamin, S.; Wilczak, J.; Marquis, M.; Finley, C.; Stern, A.; Freedman, J.

2012-09-01T23:59:59.000Z

471

Draft Fourth Northwest Conservation and Electric Power Plan, Appendix D ECONOMIC AND DEMAND FORECASTS  

E-Print Network [OSTI]

AND DEMAND FORECASTS INTRODUCTION AND SUMMARY Role of the Demand Forecast A demand forecast of at least 20 years is one of the explicit requirements of the Northwest Power Act. A demand forecast is, of course analysis. Because the future is inherently uncertain, the Council forecasts a range of future demand levels

472

Metrics for Evaluating the Accuracy of Solar Power Forecasting: Preprint  

SciTech Connect (OSTI)

Forecasting solar energy generation is a challenging task due to the variety of solar power systems and weather regimes encountered. Forecast inaccuracies can result in substantial economic losses and power system reliability issues. This paper presents a suite of generally applicable and value-based metrics for solar forecasting for a comprehensive set of scenarios (i.e., different time horizons, geographic locations, applications, etc.). In addition, a comprehensive framework is developed to analyze the sensitivity of the proposed metrics to three types of solar forecasting improvements using a design of experiments methodology, in conjunction with response surface and sensitivity analysis methods. The results show that the developed metrics can efficiently evaluate the quality of solar forecasts, and assess the economic and reliability impact of improved solar forecasting.

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

2013-10-01T23:59:59.000Z

473

Mathematical Geology, Vol. 4, No. 3, 1972 Mathematical Techniques for Paleocurrent Analysis  

E-Print Network [OSTI]

Mathematical Geology, Vol. 4, No. 3, 1972 Mathematical Techniques for Paleocurrent Analysis procedure. Finally, theprocedures for testing the homogeneity of directional data from several geological directions from different geological formations belong to significantly different populations. KEY WORDS

Jammalamadaka, S. Rao

474

Tax Deduction Qualified Software- Green Building Studio Web Service version 3.4  

Broader source: Energy.gov [DOE]

Information about the Green Building Studio Web Service version 3.4 qualified computer software, which calculates energy and power cost savings that meet federal tax incentive requirements for commercial buildings.

475

PPPL launches a $4.3 million project to expand research on magnetic...  

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

gives rise to the northern lights, solar flares and geomagnetic storms that can disrupt cell-phone service and black out power grids. The new 4.3 million device will probe...

476

ARPA-E awards IIT-Argonne team $3.4 million for breakthrough...  

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

project comes from the U.S. Department of Energy's Advanced Research Projects Agency-Energy. Click to enlarge. The Illinois Insitutue of Technology will share 3.4 million to...

477

OG.4.3.34 1 Atmospheric Cherenkov Detectors at Milagro to Measure  

E-Print Network [OSTI]

, University of Maryland, College Park, MD 20742, USA 4 Los Alamos National Laboratory, Los Alamos, NM 87545 Observatory, located near Los Alamos, New Mexico. WACT consists of six air Cherenkov telescopes, each with 3

California at Santa Cruz, University of

478

Gender-specific modulation of cocaine-induced place preference by 3,4-methylenedioxymethamphetamine  

E-Print Network [OSTI]

In contemporary North-American culture, two frequently combined drugs possessing abuse liability are cocaine and "ecstasy" (+/- 3,4-methylenedioxy-methamphetamine [MDMA]). Each drug is a stimulant acting on brain dopamine sites, i.e., cocaine acts...

Diller, Anna Jean

2013-02-22T23:59:59.000Z

479

Engineering Magnetic Anisotropy in Nanostructured 3d and 4f Ferromagnets  

E-Print Network [OSTI]

3d transition and 4f rare earth elements are being studiedthe remainder are rare earth elements (which have incompletemay arise in the rare earth elements (e.g. see Rhodes [ 96])

Hsu, Chin-Jui

2012-01-01T23:59:59.000Z

480

Microsoft Word - CX-Schultz-Raver_3_and_4_spacers_WEBa.doc  

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

Action: Replace spacer dampers along the Schultz - Raver No. 3 & 4 500-kV transmission lines Budget Information: Work Order 255064 PP&A Project No.: PP&A 1160 Categorical...

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

Microsoft Word - CX-SpacerInsulatorRepProgram3rd4thQtr2013_WEB...  

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

July 15, 2013 REPLY TO ATTN OF: KEP-4 SUBJECT: Environmental Clearance Memorandum Frank Weintraub Project Manager - TEP-TPP-1 Corinn Castro Program Manager - TPO-TPP-3 Proposed...

482

Colorado - 4 C.C.R. 723-3-3705 - Prehearing Conference, Parties...  

Open Energy Info (EERE)

search OpenEI Reference LibraryAdd to library Legal Document- RegulationRegulation: Colorado - 4 C.C.R. 723-3-3705 - Prehearing Conference, Parties and Public NoticeLegal...

483

A two-fold interpenetrating 3D metal-organic framework material constructed from helical chains linked via 4,4'-H{sub 2}bpz fragments  

SciTech Connect (OSTI)

A 3-connected dia-f-type metal-organic framework compound {l_brace}[Ag(L){sub 3/2}H{sub 2}PO{sub 4}]{r_brace}{sub n} (1) has been synthesized by self-assembly of 4,4'-H{sub 2}bpz (L=4,4'-H{sub 2}bpz=3,3',5,5'-tetramethyl-4,4'-bipyrazole) and Ag{sub 4}P{sub 2}O{sub 7} under hydrothermal conditions. It crystallizes in the tetragonal space group I4{sub 1}/acd with a=21.406(4) A, b=21.406(4) A, c=36.298(8) A, Z=32. X-ray single-crystal diffraction reveals that 1 has a three-dimensional framework with an unprecedented alternate left- and right-handed helices structure, featuring a non-uniform two-fold interpenetrated (4.14{sup 2}) net. Photoluminescent investigation reveals that the title compound displays interesting emissions in a wide region, which shows that the title compound may be a good potential candidate as a photoelectric material. - Graphical abstract: A 3-connected dia-f-type metal-organic framework compound [Ag(4,4'-bpz){sub 3/2}H{sub 2}PO{sub 4}] shows unprecedented alternating left- and right-handed helices structure, featuring a non-uniform two-fold interpenetrated (4.14{sup 2}) net.

Xie Yiming [State Key Laboratory of Structural Chemistry, Fujian Institute of Research on the Structure of Matter, Chinese Academy of Sciences, Fuzhou, Fujian 35002 (China); College of Materials Science and Engineering, Huaqiao University, the Key Laboratory for Functional Materials of Fujian Higher Education, Quanzhou, Fujian 362021 (China); Zhao Zhenguo; Wu Xiaoyuan; Zhang Qisheng; Chen Lijuan; Wang Fei; Chen Shanci [State Key Laboratory of Structural Chemistry, Fujian Institute of Research on the Structure of Matter, Chinese Academy of Sciences, Fuzhou, Fujian 35002 (China); Lu Canzhong [State Key Laboratory of Structural Chemistry, Fujian Institute of Research on the Structure of Matter, Chinese Academy of Sciences, Fuzhou, Fujian 35002 (China)], E-mail: czlu@fjirsm.ac.cn

2008-12-15T23:59:59.000Z

484

Synthesis of 11 -(4-dimethylaminophenyl)-17 -hydroxy-17 -(3-methyl-1-butynyl)-4, 9-estradien-3-one and 11 -(4-acetophenyl)-  

E-Print Network [OSTI]

was found to be more, whereas that of compound 3 was less. © 2000 Elsevier Science Inc. All rights reserved, has passed the clinical trials in USA, and is under clinical trials in India. It is also a potent-mail address: hazra@ems.ncl.res.in (B.G. Hazra) Steroids 65 (2000) 157­162 0039-128X/00/$ ­ see front matter

Pal, Debnath

485

Data:74ab4adc-3d88-43a4-9663-160e3ca6c4df | Open Energy Information  

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AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office695810186 No revision has6a0216321b No revision has6dcc3af95b No

486

Microstructure, strength and toughness of Si3N4-SiC whisker composites  

SciTech Connect (OSTI)

Si3N4-SiC whisker composites were fabricated using several routes (i.e., pressure filtration or CIP) followed by HP or HIP. The fracture strength ranges from 650 MPa to 750 MPa on account of the whiskers orientation. Compared to the Si3N4 matrix, the toughness is increased. A strong R-curve effect can be obtained, suggesting that, to be efficient, the whisker diameter must exceed a critical size. 13 refs.

Champion, E.; Goursat, P.; Besson, J.L.; Madigou, V.; Monthioux, M.; Lespade, P.

1992-10-01T23:59:59.000Z

487

Data:32bb91e4-63ab-4b2d-a3ce-9aa77f45ad4a | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of48d9ff47edf3 Noc7e1a8ffe No869d7ced0c4aa77f45ad4a No revision has been approved for this page. It is currently

488

Data:3f4d0fa4-c167-418a-aa1b-cca58748e4db | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of48d9ff47edf3a87dcc95b No revision has been approved64ec514e6-43e5-952b-08655b5a42de57bb8fc4dcca58748e4db No

489

-8 -7 -6 -5 -4 -3 -2 -1 0 Dissolution Current, Log (I) A/cm  

E-Print Network [OSTI]

35C 45C 55C Cathodic current loops MERC 2009 December 4th 2009 10:30 14:00 Frank Forward Building Sensors for Use in Supercritical Water M. Bayat 11:00 Electrical and Magnetic Properties of Carbon Electrical and Magnetic Properties of Carbon/Fe3O4 Nanofibre Composites Masoumeh Bayat Heejae Yang, Frank

British Columbia, University of

490

OFFICIAL POLICY 6.1.3 Policy on Pets on Campus 4/22/2014  

E-Print Network [OSTI]

OFFICIAL POLICY 6.1.3 Policy on Pets on Campus 4/22/2014 Policy Statement 1.0 BUILDINGS AND OFFICES, "College"), unless allowed under the terms of Section 4.0 of this Policy. 2.0 COLLEGE GROUNDS Pets are permitted on campus grounds, subject to the terms of this Policy. Pets brought on campus grounds

Kasman, Alex

491

The unknown unsubstituted tetrazines: 1,2,3,4-tetrazine and 1,2,3,5-tetrazine  

SciTech Connect (OSTI)

Ab initio theoretical methods have been used to determine the equilibrium geometry of the unsubstituted 1,2,3,4- and 1,2,3,5-tetrazines. Double zeta (DZ) and double zeta plus polarization (DZP) basis sets have been used at both the self-consistent field (SCF) and single and double excitation configuration interaction (CISD) levels of theory. Harmonic vibrational frequencies and infrared intensities have been evaluated at the SCF level of theory. Comparisons between these and previous results at the SCF level using smaller basis sets have been made. Comparisons between these and previous results at the SCF level using smaller basis sets have been made. The 1,2,3,5-tetrazine is predicted to lie 8 kcal mol{sup {minus}1} below the experimentally characterized s-tetrazine (i.e., 1,2,4,5-tetrazine). The work strongly suggests renewed experimental efforts toward the laboratory identification of 1,2,3,5-tetrazine.

Thomas, J.R.; Quelch, G.E.; Schaefer, H.F. III (Univ. of Georgia, Athens (United States))

1991-01-18T23:59:59.000Z

492

Mira Kobold and Kay Suelj Hydrology and Earth System Sciences, 9(4), 322332 (2005) EGU  

E-Print Network [OSTI]

Mira Kobold and Kay Suelj 322 Hydrology and Earth System Sciences, 9(4), 322332 (2005) © EGU Precipitation forecasts and their uncertainty as input into hydrological models Mira Kobold and Kay Suelj the weather forecasts with the information on catchment conditions and a hydrological forecasting model can

Paris-Sud XI, Université de

493

Data:573337bb-ff80-4b3e-a79c-cecd0c3bb4b9 | Open Energy Information  

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AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of48d9ff47edf3a87dcc95b3da-78f7ef0b79f6 No revisionc8de9b501c3dd65b9388caee096040 No5466c2006b40cecd0c3bb4b9 No

494

Proton transfer dynamics of the reaction H3O ,,NH3 ,H2O...NH4  

E-Print Network [OSTI]

, Rochester, New York 14627 Received 29 September 2003; accepted 8 October 2003 The proton transfer reaction of H3O and NH3 was studied using the crossed molecular beam technique at relative energies of 0.41, 0.81, and 1.27 eV. At all three energies, the center-of-mass flux distribution of the product ion NH4 exhibits

Farrar, James M.

495

Data:4ad92944-baac-47a3-9dd4-815e3adaa4c9 | Open Energy Information  

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AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of48d9ff47edf3a87dcc95b No revisione66e17fc7f7d25b394 No revision hasdd6bec6 No revision

496

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

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497

Data:4fbf3c07-e15c-4c49-bf2d-f4c3b4077350 | Open Energy Information  

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AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of48d9ff47edf3a87dcc95b Nobfef8fa58cf7 Noecd-9c04-2d9a8c2fc998 No revision0d7bef5b2fc No revision

498

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

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office695810186 No revision has6a0216321b No revision has6dcc3af95b5a09e36fd4e-45a3e5e0330b Nod0-c185be7cc649

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Data:5189795e-54f3-4a28-8c06-59db7c6b3be4 | Open Energy Information  

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500

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

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of48d9ff47edf3 No revision hasfcd92f-8652-45c0-96f0-a73be7466ef5efeb2958a4e3 No revision has been