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We encourage you to perform a real-time search of NLEBeta
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1

Annual Energy Outlook Forecast Evaluation - Tables  

Gasoline and Diesel Fuel Update (EIA)

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

2

Annual Energy Outlook Forecast Evaluation - Tables  

Gasoline and Diesel Fuel Update (EIA)

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

3

Annual Energy Outlook Forecast Evaluation - Tables  

Gasoline and Diesel Fuel Update (EIA)

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

4

Annual Energy Outlook Forecast Evaluation-Table 1  

Annual Energy Outlook 2012 (EIA)

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

5

Annual Energy Outlook Forecast Evaluation - Tables  

Gasoline and Diesel Fuel Update (EIA)

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

6

Annual Energy Outlook Forecast Evaluation - Tables  

Gasoline and Diesel Fuel Update (EIA)

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

7

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

Gasoline and Diesel Fuel Update (EIA)

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

8

On Summary Measures of Skill in Rare Event Forecasting Based on Contingency Tables  

Science Conference Proceedings (OSTI)

The so-called True Skill Statistic (TSS) and the Heidke Skill Score (S), as used in the context of the contingency, table approach to forecast verification, are compared. It is shown that the TSS approaches the Probability of Detection (POD) ...

Charles A. Doswell III; Robert Davies-Jones; David L. Keller

1990-12-01T23:59:59.000Z

9

Annual Energy Outlook Forecast Evaluation - Tables 2-18  

Gasoline and Diesel Fuel Update (EIA)

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

10

C:\\WEBSHARE\\WWWROOT\\forecastactuals\\tables2_18.wpd  

Annual Energy Outlook 2012 (EIA)

Tables 2 through 18 Table 2. Total Energy Consumption, Actual vs. Forecasts Table 3. Total Petroleum Consumption, Actual vs. Forecasts Table 4. Total Natural Gas Consumption,...

11

Table  

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

Table 295: Muons in water as calc from steam to check code ZA gcm 3 I eV a k m s x 0 x 1 C 0 0.55509 1.000 71.6 0.44251 3.0000 0.2000 2.0000 3.5017 0.00 T p...

12

STAFF FORECAST OF 2007 PEAK STAFFREPORT  

E-Print Network (OSTI)

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

13

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

14

Supplement Tables - Supplemental Data  

Gasoline and Diesel Fuel Update (EIA)

December 22, 2000 (Next Release: December, 2001) Related Links Annual Energy Outlook 2001 Assumptions to the AEO2001 NEMS Conference Contacts Forecast Homepage EIA Homepage AEO Supplement Reference Case Forecast (1999-2020) (HTML) Table 1. Energy Consumption by Source and Sector (New England) Table 2. Energy Consumption by Source and Sector (Middle Atlantic) Table 3. Energy Consumption by Source and Sector (East North Central) Table 4. Energy Consumption by Source and Sector (West North Central) Table 5. Energy Consumption by Source and Sector (South Atlantic) Table 6. Energy Consumption by Source and Sector (East South Central) Table 7. Energy Consumption by Source and Sector (West South Central) Table 8. Energy Consumption by Source and Sector (Mountain)

15

Consensus Coal Production Forecast for  

E-Print Network (OSTI)

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

Mohaghegh, Shahab

16

Supplement Tables - Supplemental Data  

Gasoline and Diesel Fuel Update (EIA)

Homepage Homepage Supplement Tables to the AEO2001 The AEO Supplementary tables were generated for the reference case of the Annual Energy Outlook 2001 (AEO2001) using the National Energy Modeling System, a computer-based model which produces annual projections of energy markets for 1999 to 2020. Most of the tables were not published in the AEO2001, but contain regional and other more detailed projections underlying the AEO2001 projections. The files containing these tables are in spreadsheet format. A total of ninety-five tables is presented. The data for tables 10 and 20 match those published in AEO2001 Appendix tables A2 and A3, respectively. Forecasts for 1999 and 2000 may differ slightly from values published in the Short Term Energy Outlook, which are the official EIA short-term forecasts and are based on more current information than the AEO.

17

Supplement Tables - Supplemental Data  

Gasoline and Diesel Fuel Update (EIA)

The AEO Supplementary tables were generated for the reference case of the The AEO Supplementary tables were generated for the reference case of the Annual Energy Outlook 2002 (AEO2002) using the National Energy Modeling System, a computer-based model which produces annual projections of energy markets for 1999 to 2020. Most of the tables were not published in the AEO2002, but contain regional and other more detailed projections underlying the AEO2002 projections. The files containing these tables are in spreadsheet format. A total of one hundred and seven tables is presented. The data for tables 10 and 20 match those published in AEO2002 Appendix tables A2 and A3, respectively. Forecasts for 2000-2002 may differ slightly from values published in the Short Term Energy Outlook, which are the official EIA short-term forecasts and are based on more current

18

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

19

Supplement Tables - Supplemental Data  

Gasoline and Diesel Fuel Update (EIA)

AEO Supplementary tables were generated for the reference case of the Annual Energy Outlook 2000 (AEO2000) using the National Energy Modeling System, a computer-based model which produces annual projections of energy markets for 1998 to 2020. Most of the tables were not published in the AEO2000, but contain regional and other more detailed projections underlying the AEO2000 projections. The files containing these tables are in spreadsheet format. A total of ninety-six tables are presented. AEO Supplementary tables were generated for the reference case of the Annual Energy Outlook 2000 (AEO2000) using the National Energy Modeling System, a computer-based model which produces annual projections of energy markets for 1998 to 2020. Most of the tables were not published in the AEO2000, but contain regional and other more detailed projections underlying the AEO2000 projections. The files containing these tables are in spreadsheet format. A total of ninety-six tables are presented. The data for tables 10 and 20 match those published in AEO200 Appendix tables A2 and A3, respectively. Forecasts for 1998, and 2000 may differ slightly from values published in the Short Term Energy Outlook, Fourth Quarter 1999 or Short Term Energy Outlook, First Quarter 2000, which are the official EIA short-term forecasts and are based on more current information than the AEO.

20

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

Note: This page contains sample records for the topic "forecast 2001-2025 tables" 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

Supplement Tables - Supplemental Data  

Gasoline and Diesel Fuel Update (EIA)

Supplemental Tables to the Annual Energy Outlook 2005 Supplemental Tables to the Annual Energy Outlook 2005 EIA Glossary Supplemental Tables to the Annual Energy Outlook 2005 Release date: February 2005 Next release date: February 2006 The AEO Supplemental tables were generated for the reference case of the Annual Energy Outlook 2005 (AEO2005) using the National Energy Modeling System, a computer-based model which produces annual projections of energy markets for 2003 to 2025. Most of the tables were not published in the AEO2005, but contain regional and other more detailed projections underlying the AEO2005 projections. The files containing these tables are in spreadsheet format. A total of one hundred and seventeen tables is presented. The data for tables 10 and 20 match those published in AEO2005 Appendix tables A2 and A3, respectively. Forecasts for 2003-2005 may differ slightly from values published in the Short Term Energy Outlook, which are the official EIA short-term forecasts and are based on more current information than the AEO.

22

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

23

Annual Energy Outlook Forecast Evaluation  

Gasoline and Diesel Fuel Update (EIA)

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

24

RACORO Forecasting  

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

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

25

R/ECON October 1999 Forecast RUTGERS ECONOMIC ADVISORY SERVICE  

E-Print Network (OSTI)

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

26

R/ECON July 1999 Forecast RUTGERS ECONOMIC ADVISORY SERVICE  

E-Print Network (OSTI)

R/ECON July 1999 Forecast RUTGERS ECONOMIC ADVISORY SERVICE FORECAST OF JULY 1999 NEW JERSEY forecast for New Jersey is for a continuing but slowing expansion. (See Table 1.) In 1998, employment rose increased by 0.7% in 1998. It will slow a bit over the forecast period as foreign immigration declines. #12

27

Forecasting Forecast Skill  

Science Conference Proceedings (OSTI)

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

Eugenia Kalnay; Amnon Dalcher

1987-02-01T23:59:59.000Z

28

Forecast Combinations  

E-Print Network (OSTI)

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

Allan Timmermann; Jel Codes C

2006-01-01T23:59:59.000Z

29

Supplement Tables - Supplemental Data  

Gasoline and Diesel Fuel Update (EIA)

Annual Energy Outlook 1999 Annual Energy Outlook 1999 bullet1.gif (843 bytes) Assumptions to the AEO99 bullet1.gif (843 bytes) NEMS Conference bullet1.gif (843 bytes) Contacts bullet1.gif (843 bytes) To Forecasting Home Page bullet1.gif (843 bytes) EIA Homepage supplemental.gif (7420 bytes) (Errata as of 9/13/99) The AEO Supplementary tables were generated for the reference case of the Annual Energy Outlook 1999 (AEO99) using the National Energy Modeling System, a computer-based model which produces annual projections of energy markets for 1997 to 2020. Most of the tables were not published in the AEO99, but contain regional and other more detailed projections underlying the AEO99 projections. The files containing these tables are in spreadsheet format. A total of ninety-five tables are presented.

30

Forecasting overview  

E-Print Network (OSTI)

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

Rob J Hyndman

2009-01-01T23:59:59.000Z

31

Table of Exhibits..................................................................................................... iii  

E-Print Network (OSTI)

Table of Contents..................................................................................................... ii

Pjm Interconnection

2007-01-01T23:59:59.000Z

32

Annual Energy Outlook with Projections to 2025-Appendix A Reference Case  

Gasoline and Diesel Fuel Update (EIA)

A Reference Case Forecast Tables A Reference Case Forecast Tables Annual Energy Outlook 2004 with Projections to 2025 Appendix A Reference Case Forecast (2001-2025) Tables Adobe Acrobat Reader Logo Adobe Acrobat Reader is required for PDF format. MS Excel Viewer Spreadsheets are provided in excel Table Title Formats Summary Tables PDF Year by Year Tables PDF Table 1. Total Energy Supply and Disposition Summary Excel PDF Table 2. Energy Consumption by Sector and Source Excel PDF Table 3. Energy Prices by Sector and Source Excel PDF Table 4. Residential Sector Key Indicators and Consumption Excel PDF Table 5. Commercial Sector Indicators and Consumption Excel PDF Table 6. Industrial Key Indicators and Consumption Excel PDF Table 7. Transportation Sector Key Indicators and Delivered Energy Indicators

33

sf01 - Summer Fuel Table.xlsx  

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

by simulation of the Short-Term Integrated Forecasting System. a Spot Price of West Texas Intermediate (WTI) crude oil Year-over-year Change (percent) Table SF01. U.S. Motor...

34

Draft Forecast of Electricity Demand for the 5th  

E-Print Network (OSTI)

products has been below the medium-low. Future natural gas prices are expected to be higher in this power's draft natural gas price forecasts. The medium natural gas price forecast for this plan in 2015 is about Council Document 2001-23, sited above. #12;DRAFT DRAFT DRAFT 11 Table 1 Natural Gas Price Forecasts

35

Energy Information Administration (EIA) - Supplement Tables - Supplemental  

Gasoline and Diesel Fuel Update (EIA)

6 6 Supplemental Tables to the Annual Energy Outlook 2006 The AEO Supplemental tables were generated for the reference case of the Annual Energy Outlook 2006 (AEO2006) using the National Energy Modeling System, a computer-based model which produces annual projections of energy markets for 2003 to 2030. Most of the tables were not published in the AEO2006, but contain regional and other more detailed projections underlying the AEO2006 projections. The files containing these tables are in spreadsheet format. A total of one hundred and seventeen tables is presented. The data for tables 10 and 20 match those published in AEO2006 Appendix tables A2 and A3, respectively. Forecasts for 2004-2006 may differ slightly from values published in the Short Term Energy Outlook, which are the official EIA short-term forecasts and are based on more current information than the AEO.

36

Relationship between Precipitation Forecast Errors and Skill Scores of Dichotomous Forecasts  

Science Conference Proceedings (OSTI)

In this paper, the sensitivities of the equitable threat score (ETS) and the true skill score (TSS), obtained with a 2 2 contingency table, to continuous precipitation forecast errors are investigated. Two idealized error models are adopted to ...

Nazario Tartaglione

2010-02-01T23:59:59.000Z

37

Supplement Tables - Contact  

Gasoline and Diesel Fuel Update (EIA)

Supplement Tables to the AEO99 Supplement Tables to the AEO99 bullet1.gif (843 bytes) Annual Energy Outlook 1999 bullet1.gif (843 bytes) Assumptions to the AEO99 bullet1.gif (843 bytes) NEMS Conference bullet1.gif (843 bytes) To Forecasting Home Page bullet1.gif (843 bytes) EIA Homepage furtherinfo.gif (5474 bytes) The Annual Energy Outlook 1999 (AEO99) was prepared by the Energy Information Administration (EIA), Office of Integrated Analysis and Forecasting, under the direction of Mary J. Hutzler (mhutzler@eia.doe.gov, 202/586-2222). General questions may be addressed to Arthur T. Andersen (aanderse@eia.doe.gov, 202/586-1441), Director of the International, Economic, and Greenhouse Gas Division; Susan H. Holte (sholte@eia.doe.gov, 202/586-4838), Director of the Demand and Integration Division; James M. Kendell (jkendell@eia.doe.gov, 202/586-9646), Director of the Oil and Gas Division; Scott Sitzer (ssitzer@eia.doe.gov, 202/586-2308), Director of the Coal and Electric Power Division; or Andy S. Kydes (akydes@eia.doe.gov, 202/586-2222), Senior Modeling Analyst. Detailed questions about the forecasts and related model components may be addressed to the following analysts:

38

Energy conservation and official UK energy forecasts  

SciTech Connect

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

Pearce, D.

1980-09-01T23:59:59.000Z

39

TABLE OF CONTENTS  

E-Print Network (OSTI)

Table of Contents......i List of Tables.....ii

Ingleside Tx; Base Realignment

2010-01-01T23:59:59.000Z

40

EIA - Forecasts and Analysis of Energy Data  

Gasoline and Diesel Fuel Update (EIA)

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

Note: This page contains sample records for the topic "forecast 2001-2025 tables" 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

Improving Probabilistic Ensemble Forecasts of Convection through the Application of QPFPOP Relationships  

Science Conference Proceedings (OSTI)

Four new approaches of postprocessing quantitative precipitation forecasts (QPFs) from model ensemble output were used to generate probability of precipitation (POP) tables in order to develop a forecasting method that could outperform a ...

Christopher J. Schaffer; William A. Gallus Jr.; Moti Segal

2011-06-01T23:59:59.000Z

42

Solar forecasting review  

E-Print Network (OSTI)

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

Inman, Richard Headen

2012-01-01T23:59:59.000Z

43

NFI Forecasts Methodology NFI Forecasts Methodology  

E-Print Network (OSTI)

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

44

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

45

> BUREAU HOME > AUSTRALIA > QUEENSLAND > FORECASTS FORECAST IMPROVEMENTS  

E-Print Network (OSTI)

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

Greenslade, Diana

46

Another Approach to Forecasting Forecast Skill  

Science Conference Proceedings (OSTI)

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

W. Y. Chen

1989-02-01T23:59:59.000Z

47

Supplemental Tables to the Annual Energy Outlook 2003  

Gasoline and Diesel Fuel Update (EIA)

Annual Energy Outlook 2003 Annual Energy Outlook 2003 Assumptions to the AEO2003 Nattional Energy Modeling System/Annual Energy Outlook 2003 Conference E-Mail Subscription Lists Forecasts Home Page Supplement Tables to the Annual Energy Outlook 2003 AEO Supplement Reference Case Forecast (2000-2025) - (HTML) Table 1. Energy Consumption by Source and Sector (New England) Table 2. Energy Consumption by Source and Sector (Middle Atlantic) Table 3. Energy Consumption by Source and Sector (East North Central) Table 4. Energy Consumption by Source and Sector (West North Central) Table 5. Energy Consumption by Source and Sector (South Atlantic) Table 6. Energy Consumption by Source and Sector (East South Central) Table 7. Energy Consumption by Source and Sector (West South Central)

48

Emergency Operations Table of Contents  

E-Print Network (OSTI)

Table of Contents..................................................................................................... ii

unknown authors

2012-01-01T23:59:59.000Z

49

Table Search (or Ranking Tables)  

E-Print Network (OSTI)

Table Search (or Ranking Tables) Alon Halevy Google DBRank @ ICDE March 1, 2010 #12;Structured Data organizations Requires infrastructure, concerns about losing control Hard to find structured data via search Search #1 store locations used cars radio stations patents recipes · Deep = not accessible through

Halevy, Alon

50

Global Carbon Biomass Tables  

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

Table 1c. Mixed Forest Classes Table 1d. NaturalBurnt Forest Mosaic Classes Table 1e. CropForest Mosaic Classes Table 1f. Shrub Cover Classes Table 1g. Grassland Classes Table...

51

ELECTRICITY DEMAND FORECAST COMPARISON REPORT  

E-Print Network (OSTI)

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

52

this table  

U.S. Energy Information Administration (EIA)

AC Argentina AR Aruba AA Bahamas, The BF Barbados BB Belize BH Bolivia BL ... Table 1.2 World Petroleum Consumption, 1980-2006 (Thousand Barrels per Day) Page 1980.00 ...

53

Table 4  

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

125 69 112 131 137 158 7.36 Notes: -- To obtain the RSE percentage for any table cell, multiply the corresponding column and row factors. -- Because of rounding, data may...

54

Table 4  

Gasoline and Diesel Fuel Update (EIA)

378 913 993 1,130 1,316 1,625 8.24 Notes: -- To obtain the RSE percentage for any table cell, multiply the corresponding column and row factors. -- Because of rounding, data may...

55

The Forecast Gap: Linking Forwards and Forecasts  

Science Conference Proceedings (OSTI)

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

2008-12-15T23:59:59.000Z

56

Forecast Prices  

Gasoline and Diesel Fuel Update (EIA)

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

57

Annual Energy Outlook with Projections to 2025-Table 1. Summary of results  

Gasoline and Diesel Fuel Update (EIA)

Table 1. Summary of results Table 1. Summary of results Energy/Economic Factors 2000 2001 2025 Reference Low Economic Growth High Economic Growth Low World Oil Price High World Oil Price Primary Production (quadrillion Btu) Petroleum 15.14 14.94 15.05 14.38 15.45 14.12 15.92 Natural Gas 19.50 19.97 27.47 25.24 28.72 26.99 27.99 Coal 22.58 23.97 29.29 27.81 31.08 29.18 29.74 Nuclear Power 7.87 8.03 8.43 8.43 8.43 8.43 8.43 Renewable Energy 5.96 5.33 8.78 8.26 9.38 8.82 8.76 Other 1.09 0.57 0.80 0.80 0.83 0.81 0.82 Total Primary Production 72.15 72.81 89.83 84.93 93.90 88.36 91.66 Net Imports (quadrillion Btu) Petroleum (including SPR) 22.28 23.29 41.23 37.63 45.82 44.06 37.97 Natural Gas 3.62 3.73 7.93 6.93 9.29 7.63 8.01 Coal/Other (- indicates export) -0.84 -0.54 0.27 0.22 0.38 0.26 0.27 Total Net Imports 25.06 26.48 49.43 44.78 55.49 51.96 46.25 Discrepancy -2.18 1.99 0.19

58

Central Wind Forecasting Programs in North America by Regional Transmission Organizations and Electric Utilities: Revised Edition  

DOE Green Energy (OSTI)

The report and accompanying table addresses the implementation of central wind power forecasting by electric utilities and regional transmission organizations in North America. The first part of the table focuses on electric utilities and regional transmission organizations that have central wind power forecasting in place; the second part focuses on electric utilities and regional transmission organizations that plan to adopt central wind power forecasting in 2010. This is an update of the December 2009 report, NREL/SR-550-46763.

Rogers, J.; Porter, K.

2011-03-01T23:59:59.000Z

59

Conversion Tables  

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

Carbon Dioxide Information Analysis Center - Conversion Tables Carbon Dioxide Information Analysis Center - Conversion Tables Contents taken from Glossary: Carbon Dioxide and Climate, 1990. ORNL/CDIAC-39, Carbon Dioxide Information Analysis Center, Oak Ridge National Laboratory, Oak Ridge, Tennessee. Third Edition. Edited by: Fred O'Hara Jr. 1 - International System of Units (SI) Prefixes 2 - Useful Quantities in CO2 3 - Common Conversion Factors 4 - Common Energy Unit Conversion Factors 5 - Geologic Time Scales 6 - Factors and Units for Calculating Annual CO2 Emissions Using Global Fuel Production Data Table 1. International System of Units (SI) Prefixes Prefix SI Symbol Multiplication Factor exa E 1018 peta P 1015 tera T 1012 giga G 109 mega M 106 kilo k 103 hecto h 102 deka da 10 deci d 10-1 centi c 10-2

60

Forecasting in Meteorology  

Science Conference Proceedings (OSTI)

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

C. S. Ramage

1993-10-01T23:59:59.000Z

Note: This page contains sample records for the topic "forecast 2001-2025 tables" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


61

Annual Energy Outlook Forecast Evaluation  

Gasoline and Diesel Fuel Update (EIA)

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

62

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

E-Print Network (OSTI)

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

63

Supplement Tables - Supplemental Data  

Gasoline and Diesel Fuel Update (EIA)

5 5 Adobe Acrobat Reader Logo Adobe Acrobat Reader is required for PDF format Excel logo Spreadsheets are provided in excel 1 to117 - Complete set of Supplemental Tables PDF Energy Consumption by Sector (Census Division) Table 1. New England XLS PDF Table 2. Middle Atlantic XLS PDF Table 3. East North Central XLS PDF Table 4. West North Central XLS PDF Table 5. South Atlantic XLS PDF Table 6. East South Central XLS PDF Table 7. West South Central XLS PDF Table 8. Mountain XLS PDF Table 9. Pacific XLS PDF Table 10. Total United States XLS PDF Energy Prices by Sector (Census Division) Table 11. New England XLS PDF Table 12. Middle Atlantic XLS PDF Table 13. East North Central XLS PDF Table 14. West North Central XLS PDF Table 15. South Atlantic XLS PDF Table 16. East South Central

64

Mid-range energy-forecasting system: structure, forecasts, and critique  

SciTech Connect

The Mid-Range Energy Forecasting System (MEFS) is a large-scale, interdisciplinary model of the US energy system maintained by the US Department of Energy. MEFS provides long-run regional forecasts of delivered prices for electricity, coal, gasoline, residual, distillate, and natural gas. A number of sets of MEFS forecasts are usually issued, each set corresponding to a different scenario. Because it forecasts prices and since these forecasts are regularly disseminated, MEFS is of considerable practical interest. A critical guide of the model's output for potential users is provided in this paper. The model's logic is described, the latest forecasts from MEFS are presented, and the reasonableness of both the forecasts and the methodology are critically evaluated. The manner in which MEFS interfaces with the Oil Market Simulation Model, which forecasts crude oil price, is also discussed. The evaluation concludes that while there are serious problems with MEFS, selective use can prove very helpful. 17 references, 1 figure, 2 tables.

DeSouza, G.

1980-01-01T23:59:59.000Z

65

TABLE OF CONTENTS TABLE OF CONTENTS ...........................................................................................................................................II  

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

i i ii TABLE OF CONTENTS TABLE OF CONTENTS ...........................................................................................................................................II EXECUTIVE SUMMARY ........................................................................................................................................... 3 INTRODUCTION......................................................................................................................................................... 4 COMPLIANCE SUMMARY ....................................................................................................................................... 6 COMPREHENSIVE ENVIRONMENTAL RESPONSE, COMPENSATION, AND LIABILITY ACT (CERCLA) .................... 6

66

Forecasts, Meteorology Services, Environmental Sciences Department  

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

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

67

Table 25  

Gasoline and Diesel Fuel Update (EIA)

89 89 Table 25 Created on: 1/3/2014 3:10:33 PM Table 25. Natural gas home customer-weighted heating degree days, New England Middle Atlantic East North Central West North Central South Atlantic Month/Year/Type of data CT, ME, MA, NH, RI, VT NJ, NY, PA IL, IN, MI, OH, WI IA, KS, MN, MO, ND, NE, SD DE, FL, GA, MD, DC, NC, SC, VA, WV November Normal 702 665 758 841 442 2012 751 738 772 748 527 2013 756 730 823 868 511 % Diff (normal to 2013) 7.7 9.8 8.6 3.2 15.6 % Diff (2012 to 2013) 0.7 -1.1 6.6 16.0 -3.0 November to November Normal 702 665 758 841 442 2012 751 738 772 748 527 2013 756 730 823 868 511 % Diff (normal to 2013) 7.7 9.8 8.6 3.2 15.6 % Diff (2012 to 2013) 0.7 -1.1 6.6 16.0 -3.0

68

Notices TABLE  

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

7 Federal Register 7 Federal Register / Vol. 76, No. 160 / Thursday, August 18, 2011 / Notices TABLE 2-NET BURDEN CHANGE-Continued 2011-2012 2012-2013 Change % Change Burden disposition Total Applicants .................................... 23,611,500 24,705,864 +1,094,364 +4.63 Net decrease in burden. The increase in applicants is offset by the results of the Department's simplification changes. This has created an over- all decrease in burden of 8.94% or 2,881,475 hours. Total Applicant Burden ......................... 32,239,328 29,357,853 ¥2,881,475 ¥8.94 Total Annual Responses ....................... 32,239,328 46,447,024 +14,207,696 +44.07 Cost for All Applicants .......................... $159,370.20 $234,804.24 $75,434.04 +47.33 The Department is proud that efforts to simplify the FAFSA submission

69

Table 4  

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

4. Mean Annual Electricity Expenditures for Lighting, by Number of 4. Mean Annual Electricity Expenditures for Lighting, by Number of Household Members by Number of Rooms, 1993 (Dollars) Number of Rooms Number of Household Members All Households One to Three Four Five Six Seven Eight or More RSE Column Factors: 0.5 1.8 1.1 0.9 0.9 1.0 1.2 RSE Row Factors All Households................................... 83 49 63 76 87 104 124 2.34 One..................................................... 55 44 51 54 69 78 87 5.33 Two..................................................... 80 56 63 77 82 96 107 3.38 Three.................................................. 92 60 73 82 95 97 131 4.75 Four.................................................... 106 64 78 93 96 124 134 4.53 Five or More....................................... 112 70 83 98 99 117 150 5.89 Notes: -- To obtain the RSE percentage for any table cell, multiply the

70

1992 CBECS Detailed Tables  

Gasoline and Diesel Fuel Update (EIA)

Detailed Tables Detailed Tables To download all 1992 detailed tables: Download Acrobat Reader for viewing PDF files. Yellow Arrow Buildings Characteristics Tables (PDF format) (70 tables, 230 pages, file size 1.39 MB) Yellow Arrow Energy Consumption and Expenditures Tables (PDF format) (47 tables, 208 pages, file size 1.28 MB) Yellow Arrow Energy End-Use Tables (PDF format) (6 tables, 6 pages, file size 31.7 KB) Detailed tables for other years: Yellow Arrow 1999 CBECS Yellow Arrow 1995 CBECS Background information on detailed tables: Yellow Arrow Description of Detailed Tables and Categories of Data Yellow Arrow Statistical Significance of Data 1992 Commercial Buildings Energy Consumption Survey (CBECS) Detailed Tables Data from the 1992 Commercial Buildings Energy Consumption Survey (CBECS) are presented in three groups of detailed tables:

71

Verifying Forecasts Spatially  

Science Conference Proceedings (OSTI)

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

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

2010-10-01T23:59:59.000Z

72

Forecasting of Supercooled Clouds  

Science Conference Proceedings (OSTI)

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

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

1995-07-01T23:59:59.000Z

73

Colorado uranium production forecast for 1981 to 1990. [Monograph  

SciTech Connect

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

Morse, J.G.

1980-01-01T23:59:59.000Z

74

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

75

Time Series and Forecasting  

Science Conference Proceedings (OSTI)

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

76

Certification and Training Requirements Table of Contents  

E-Print Network (OSTI)

Table of Exhibits..................................................................................................... iii

unknown authors

2008-01-01T23:59:59.000Z

77

chapter 5. Detailed Tables  

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

5. Detailed Tables 5. Detailed Tables Chapter 5. Detailed Tables The following tables present detailed characteristics of vehicles in the residential sector. Data are from the 1994 Residential Transportation Energy Consumption Survey. Table Organization The "Detailed Tables" section consists of three types of tables: (1) Tables of totals such as number of vehicle-miles traveled (VMT) or gallons consumed; (2) tables of per household statistics such as VMT per household; and (3) tables of per-vehicle statistics, such as vehicle fuel consumption per vehicle. The tables have been grouped together by specific topics such as model-year data or family-income data to facilitate finding related information. The Quick-Reference Guide to the detailed tables indicates major topics of each table.

78

A General Analytic Method for Assessing Sensitivity to Bias of Performance Measures for Dichotomous Forecasts  

Science Conference Proceedings (OSTI)

Performance measures computed from the 2 2 contingency table of outcomes for dichotomous forecasts are sensitive to bias. The method presented here evaluates how the probability of detection (POD) must change as bias changes so that a ...

Keith F. Brill

2009-02-01T23:59:59.000Z

79

The Strategy of Professional Forecasting  

E-Print Network (OSTI)

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

Marco Ottaviani; Peter Norman Srensen

2003-01-01T23:59:59.000Z

80

Supplement Tables - Supplemental Data  

Gasoline and Diesel Fuel Update (EIA)

in spreadsheet format. A total of one hundred and seventeen tables is presented. The data for tables 10 and 20 match those published in AEO2004 Appendix tables A2 and A3,...

Note: This page contains sample records for the topic "forecast 2001-2025 tables" 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

Supplement Tables - Supplemental Data  

Annual Energy Outlook 2012 (EIA)

are in spreadsheet format. A total of one hundred and nine tables is presented. The data for tables 10 and 20 match those published in AEO2003 Appendix tables A2 and A3,...

82

Meson Summary Table See  

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

Meson Summary Table See also the table of suggested qq quark-model assignments in the Quark Model section. * Indicates particles that appear in the preceding Meson Summary Table....

83

Supplement Tables - Supplemental Data  

Annual Energy Outlook 2012 (EIA)

Vehicle Fuel Economy Table 57. New Light-Duty Vehicle Prices Table 58. New Light-Duty Vehicle Range Table 59. Electric Power Projections for EMM Region 01- East Central Area...

84

All Consumption Tables  

U.S. Energy Information Administration (EIA)

2010 Consumption Summary Tables. Table C1. Energy Consumption Overview: Estimates by Energy Source and End-Use Sector, 2010 (Trillion Btu) ... Ranked by State, 2010

85

1995 Detailed Tables  

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

Households, Buildings & Industry > Commercial Buildings Energy Households, Buildings & Industry > Commercial Buildings Energy Consumption Survey > Detailed Tables 1995 Detailed Tables Data from the 1995 Commercial Buildings Energy Consumption Survey (CBECS) are presented in three groups of detailed tables: Buildings Characteristics Tables, number of buildings and amount of floorspace for major building characteristics. Energy Consumption and Expenditures Tables, energy consumption and expenditures for major energy sources. Energy End-Use Data, total, electricity and natural gas consumption and energy intensities for nine specific end-uses. Summary Table—All Principal Buildings Activities (HTML Format) Background information on detailed tables: Description of Detailed Tables and Categories of Data Statistical Significance of Data

86

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

87

Business forecasting methods  

E-Print Network (OSTI)

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

Rob J Hyndman

2009-01-01T23:59:59.000Z

88

Just enough tabling  

Science Conference Proceedings (OSTI)

We introduce just enough tabling (JET), a mechanism to suspend and resume the tabled execution of logic programs at an arbitrary point. In particular, JET allows pruning of tabled logic programs to be performed without resorting to any recomputation. ... Keywords: logic programming, pruning, suspension/resumption in the WAM, tabling

Konstantinos Sagonas; Peter J. Stuckey

2004-08-01T23:59:59.000Z

89

Probabilistic Forecasts from the National Digital Forecast Database  

Science Conference Proceedings (OSTI)

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

Roman Krzysztofowicz; W. Britt Evans

2008-04-01T23:59:59.000Z

90

ORNL integrated forecasting system  

SciTech Connect

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

Rizy, C.G.

1983-01-01T23:59:59.000Z

91

forecast | OpenEI  

Open Energy Info (EERE)

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

92

Seasonal tropical cyclone forecasts  

E-Print Network (OSTI)

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

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

2007-01-01T23:59:59.000Z

93

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

94

Solar forecasting review  

E-Print Network (OSTI)

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

Inman, Richard Headen

2012-01-01T23:59:59.000Z

95

Real-Time Forecasting of Snowfall Using a Neural Network  

Science Conference Proceedings (OSTI)

A set of 53 snowfall reports was collected in real time from the 2004/05 and 2005/06 cold seasons (NovemberMarch). Three snowfall-amount forecast methods were tested: neural network, surface-temperature-based 676-USDT table, and climatological ...

Paul J. Roebber; Melissa R. Butt; Sarah J. Reinke; Thomas J. Grafenauer

2007-06-01T23:59:59.000Z

96

Global and Local Skill Forecasts  

Science Conference Proceedings (OSTI)

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

P. L. Houtekamer

1993-06-01T23:59:59.000Z

97

Arnold Schwarzenegger INTEGRATED FORECAST AND  

E-Print Network (OSTI)

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

98

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

99

Does the term structure forecast  

E-Print Network (OSTI)

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

Berardi, Andrea; Torous, Walter

2002-01-01T23:59:59.000Z

100

Distortion Representation of Forecast Errors  

Science Conference Proceedings (OSTI)

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

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

1995-09-01T23:59:59.000Z

Note: This page contains sample records for the topic "forecast 2001-2025 tables" 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

Composite forecasting in commodity systems  

E-Print Network (OSTI)

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

Johnson, Stanley R; Rausser, Gordon C.

1980-01-01T23:59:59.000Z

102

Table of Contents  

Science Conference Proceedings (OSTI)

... Weather maps and forecasts are made available by Thinking ... nwhois and other people finding tools.(3). ... is also tkWWW, an authoring tool based on ...

103

table of contents  

Science Conference Proceedings (OSTI)

The Use of a Mineralogical Data Base for Production Forecasting and Trouble- shooting in Copper Leach Operations [pp. 393-408] W. Baum. A Framework for...

104

Supplement Tables - Supplemental Data  

Gasoline and Diesel Fuel Update (EIA)

Adobe Acrobat Reader Logo Adobe Acrobat Reader is required for PDF format. Adobe Acrobat Reader Logo Adobe Acrobat Reader is required for PDF format. MS Excel Viewer Spreadsheets are provided in excel Errata - August 25, 2004 1 to117 - Complete set of of Supplemental Tables PDF Table 1. Energy Consumption by Source and Sector (New England) XLS PDF Table 2. Energy Consumption by Source and Sector (Middle Atlantic) XLS PDF Table 3. Energy Consumption by Source and Sector (East North Central) XLS PDF Table 4. Energy Consumption by Source and Sector (West North Central) XLS PDF Table 5. Energy Consumption by Source and Sector (South Atlantic) XLS PDF Table 6. Energy Consumption by Source and Sector (East South Central) XLS PDF Table 7. Energy Consumption by Source and Sector (West South Central) XLS PDF Table 8. Energy Consumption by Source and Sector (Mountain)

105

1999 CBECS Detailed Tables  

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

Commercial Buildings Energy Consumption Survey (CBECS) > Detailed Tables Commercial Buildings Energy Consumption Survey (CBECS) > Detailed Tables 1999 CBECS Detailed Tables Building Characteristics | Consumption & Expenditures Data from the 1999 Commercial Buildings Energy Consumption Survey (CBECS) are presented in the Building Characteristics tables, which include number of buildings and total floorspace for various Building Characteristics, and Consumption and Expenditures tables, which include energy usage figures for major energy sources. A table of Relative Standard Errors (RSEs) is included as a worksheet tab in each Excel tables. Complete sets of RSE tables are also available in .pdf format. (What is an RSE?) Preliminary End-Use Consumption Estimates for 1999 | Description of 1999 Detailed Tables and Categories of Data

106

Coefficients for Debiasing Forecasts  

Science Conference Proceedings (OSTI)

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

Thomas R. Stewart; Patricia Reagan-Cirincione

1991-08-01T23:59:59.000Z

107

Evaluating Point Forecasts  

E-Print Network (OSTI)

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

Gneiting, Tilmann

2009-01-01T23:59:59.000Z

108

Forecasters Objectives and Strategies ?  

E-Print Network (OSTI)

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

Ivn Marinovic; Marco Ottaviani; Peter Norman Srensen

2011-01-01T23:59:59.000Z

109

A New Verification Score for Public Forecasts  

Science Conference Proceedings (OSTI)

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

Dean P. Gulezian

1981-02-01T23:59:59.000Z

110

Cost Development Guidelines Table of Contents  

E-Print Network (OSTI)

Table of Contents..................................................................................................... ii Table of Exhibits...................................................................................................... v Approval.................................................................................................................. vi

unknown authors

2011-01-01T23:59:59.000Z

111

NATIONAL AND GLOBAL FORECASTS WEST VIRGINIA PROFILES AND FORECASTS  

E-Print Network (OSTI)

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

Mohaghegh, Shahab

112

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

113

Why are survey forecasts superior to model forecasts?  

E-Print Network (OSTI)

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

Michael P. Clements; Michael P. Clements

2010-01-01T23:59:59.000Z

114

Table of Contents  

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

COMMUNICATIONS REQUIREMENTS OF SMART GRID TECHNOLOGIES October 5, 2010 i Table of Contents I. Introduction and Executive Summary......

115

FY 2005 Statistical Table  

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

Statistical Table by Appropriation Statistical Table by Appropriation (dollars in thousands - OMB Scoring) Table of Contents Summary...................................................................................................... 1 Mandatory Funding....................................................................................... 3 Energy Supply.............................................................................................. 4 Non-Defense site acceleration completion................................................... 6 Uranium enrichment D&D fund.................................................................... 6 Non-Defense environmental services.......................................................... 6 Science.........................................................................................................

116

CBECS Buildings Characteristics --Revised Tables  

Gasoline and Diesel Fuel Update (EIA)

Table 37. Refrigeration Equipment, Number of Buildings and Floorspace, 1995 Table 38. Water-Heating Equipment, Number of Buildings and Floorspace, 1995 Table 39. Lighting...

117

CBECS Buildings Characteristics --Revised Tables  

Gasoline and Diesel Fuel Update (EIA)

Table 25. Cooling Energy Sources, Number of Buildings and Floorspace, 1995 Table 26. Water-Heating Energy Sources, Number of Buildings, 1995 Table 27. Water-Heating Energy...

118

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

119

LOAD FORECASTING Eugene A. Feinberg  

E-Print Network (OSTI)

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

Feinberg, Eugene A.

120

Factors Driving Prices & Forecast  

Gasoline and Diesel Fuel Update (EIA)

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

Note: This page contains sample records for the topic "forecast 2001-2025 tables" 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

Modeling and Forecasting Aurora  

Science Conference Proceedings (OSTI)

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

Dirk Lummerzheim

2007-01-01T23:59:59.000Z

122

Valuing Climate Forecast Information  

Science Conference Proceedings (OSTI)

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

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

1987-09-01T23:59:59.000Z

123

Table of Contents PJM Manual [18]: PJM Capacity Market  

E-Print Network (OSTI)

Table of Contents Table of Contents..................................................................................................... ii

unknown authors

2008-01-01T23:59:59.000Z

124

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

125

Forecasting in the Presence of Level Shifts  

E-Print Network (OSTI)

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

Smith, Aaron

2004-01-01T23:59:59.000Z

126

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

SciTech Connect

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

Curlee, T.R.

1985-04-01T23:59:59.000Z

127

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

SciTech Connect

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

Curlee, T.R.

1985-01-01T23:59:59.000Z

128

Forecasting of mine price for central Appalachian steam coal  

SciTech Connect

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

Smith, M.L.

1988-01-01T23:59:59.000Z

129

Annual Energy Outlook with Projections to 2025 - Forecast Comparisons  

Gasoline and Diesel Fuel Update (EIA)

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

130

Weather-based forecasts of California crop yields  

SciTech Connect

Crop yield forecasts provide useful information to a range of users. Yields for several crops in California are currently forecast based on field surveys and farmer interviews, while for many crops official forecasts do not exist. As broad-scale crop yields are largely dependent on weather, measurements from existing meteorological stations have the potential to provide a reliable, timely, and cost-effective means to anticipate crop yields. We developed weather-based models of state-wide yields for 12 major California crops (wine grapes, lettuce, almonds, strawberries, table grapes, hay, oranges, cotton, tomatoes, walnuts, avocados, and pistachios), and tested their accuracy using cross-validation over the 1980-2003 period. Many crops were forecast with high accuracy, as judged by the percent of yield variation explained by the forecast, the number of yields with correctly predicted direction of yield change, or the number of yields with correctly predicted extreme yields. The most successfully modeled crop was almonds, with 81% of yield variance captured by the forecast. Predictions for most crops relied on weather measurements well before harvest time, allowing for lead times that were longer than existing procedures in many cases.

Lobell, D B; Cahill, K N; Field, C B

2005-09-26T23:59:59.000Z

131

FY 2005 Laboratory Table  

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

Congressional Budget Congressional Budget Request Laboratory Tables Preliminary Department of Energy FY 2005 Congressional Budget Request Office of Management, Budget and Evaluation/CFO February 2004 Laboratory Tables Preliminary Department of Energy Department of Energy FY 2005 Congressional Budget FY 2005 Congressional Budget Request Request Office of Management, Budget and Evaluation/CFO February 2004 Laboratory Tables Laboratory Tables Printed with soy ink on recycled paper Preliminary Preliminary The numbers depicted in this document represent the gross level of DOE budget authority for the years displayed. include both the discretionary and mandatory funding in the budget. balances, deferrals, rescissions, or other adjustments appropria ted as offsets to the DOE appropriations by the Congress.

132

Table of Contents  

Science Conference Proceedings (OSTI)

Table of Contents. A, B. 1, USGCB Settings. 2, This spreadsheet captures the USGCB defined configuration settings. 3, Tab Name, Tab Description. ...

2013-11-19T23:59:59.000Z

133

FY 2007 State Table  

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

Department of Energy FY 2007 Congressional Budget Request February 2006 Office of Chief Financial Officer state tables preliminary Department of Energy FY 2007 Congressional Budget...

134

Tables - Refinery Capacity Report  

U.S. Energy Information Administration (EIA)

Tables: 1: Number and Capacity of Operable Petroleum Refineries by PAD District and State as of January 1, 2009: PDF: 2: Production Capacity of Operable ...

135

FROM ANALYSTS ' EARNINGS FORECASTS  

E-Print Network (OSTI)

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

Theodore Sougiannis; Takashi Yaekura

2000-01-01T23:59:59.000Z

136

Annual Energy Outlook 2001-Appendix G: Major Assumptions for the Forecasts  

Gasoline and Diesel Fuel Update (EIA)

Forecasts Forecasts Summary of the AEO2001 Cases/ Scenarios - Appendix Table G1 bullet1.gif (843 bytes) Model Results (Formats - PDF, ZIP) - Appendix Tables - Reference Case - 1998 to 2020 bullet1.gif (843 bytes) Download Report - Entire AEO2001 (PDF) - AEO2001 by Chapters (PDF) bullet1.gif (843 bytes) Acronyms bullet1.gif (843 bytes) Contacts Related Links bullet1.gif (843 bytes) Assumptions to the AEO2001 bullet1.gif (843 bytes) Supplemental Data to the AEO2001 (Only available on the Web) - Regional and more detailed AEO 2001 Reference Case Results - 1998, 2000 to 2020 bullet1.gif (843 bytes) NEMS Conference bullet1.gif (843 bytes) Forecast Homepage bullet1.gif (843 bytes) EIA Homepage Appendix G Major Assumptions for the Forecasts Component Modules Major Assumptions for the Annual Energy Outlook 2001

137

CALIFORNIA ENERGY DEMAND 20142024 REVISED FORECAST  

E-Print Network (OSTI)

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

138

2003 CBECS RSE Tables  

Gasoline and Diesel Fuel Update (EIA)

cbecs/cbecs2003/detailed_tables_2003/2003rsetables_files/plainlink.css" cbecs/cbecs2003/detailed_tables_2003/2003rsetables_files/plainlink.css" type=text/css rel=stylesheet> Home > Households, Buildings & Industry > Commercial Buildings Energy Consumption Survey (CBECS) > 2003 Detailed Tables > RSE Tables 2003 CBECS Relative Standard Error (RSE) Tables Released: Dec 2006 Next CBECS will be conducted in 2007 Standard error is a measure of the reliability or precision of the survey statistic. The value for the standard error can be used to construct confidence intervals and to perform hypothesis tests by standard statistical methods. Relative Standard Error (RSE) is defined as the standard error (square root of the variance) of a survey estimate, divided by the survey estimate and multiplied by 100. (More information on RSEs)

139

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

140

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

Note: This page contains sample records for the topic "forecast 2001-2025 tables" 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

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

142

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

143

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

144

FINANCIAL FORECASTING USING GENETIC ALGORITHMS  

E-Print Network (OSTI)

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

Boetticher, Gary D.

145

Forecast of auroral activity  

Science Conference Proceedings (OSTI)

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

A. T. Y. Lui

2004-01-01T23:59:59.000Z

146

ARM - Instrument Location Table  

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

govInstrumentsLocation Table govInstrumentsLocation Table Instruments Location Table Contacts Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Instrument Locations Site abbreviations explained in the key. Instrument Name Abbreviation NSA SGP TWP AMF C1 C2 EF BF CF EF IF C1 C2 C3 EF IF Aerosol Chemical Speciation Monitor ACSM Atmospheric Emitted Radiance Interferometer AERI Aethalometer AETH Ameriflux Measurement Component AMC Aerosol Observing System AOS Meteorological Measurements associated with the Aerosol Observing System AOSMET Broadband Radiometer Station BRS

147

Annual Energy Outlook Forecast Evaluation  

Gasoline and Diesel Fuel Update (EIA)

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

148

Supplement Tables - Contacts  

Gasoline and Diesel Fuel Update (EIA)

Annual Energy Outlook 2000 (AEO2000) was prepared by the Energy Information Administration (EIA), Office of Integrated Analysis and Forecasting, under the direction of Mary J. Hutzler (mhutzler@ eia.doe.gov, 202/586-2222), Director, Office of Integrated Analysis and Forecasting; Susan H. Holte (sholte@eia.doe.gov, 202/586-4838), Director, Demand and Integration Division; James M. Kendell (jkendell@eia.doe.gov, 202/586-9646), Director, Oil and Gas Division; Scott Sitzer (ssitzer@eia.doe.gov, 202/586-2308), Director, Coal and Electric Power Division; and Andy S. Kydes (akydes@eia.doe.gov, 202/586-2222), Senior Modeling Analyst: Annual Energy Outlook 2000 (AEO2000) was prepared by the Energy Information Administration (EIA), Office of Integrated Analysis and Forecasting, under the direction of Mary J. Hutzler (mhutzler@ eia.doe.gov, 202/586-2222), Director, Office of Integrated Analysis and Forecasting; Susan H. Holte (sholte@eia.doe.gov, 202/586-4838), Director, Demand and Integration Division; James M. Kendell (jkendell@eia.doe.gov, 202/586-9646), Director, Oil and Gas Division; Scott Sitzer (ssitzer@eia.doe.gov, 202/586-2308), Director, Coal and Electric Power Division; and Andy S. Kydes (akydes@eia.doe.gov, 202/586-2222), Senior Modeling Analyst: For ordering information and questions on other energy statistics available from EIA, please contact EIA’s National Energy Information Center. Addresses, telephone numbers, and hours are as follows:

149

Forecasting Dangerous Inmate Misconduct: An Applications of Ensemble Statistical Procedures  

E-Print Network (OSTI)

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

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

2005-01-01T23:59:59.000Z

150

Information and Inference in Econometrics: Estimation, Testing and Forecasting  

E-Print Network (OSTI)

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

Tu, Yundong

2012-01-01T23:59:59.000Z

151

Forecasting Dangerous Inmate Misconduct: An Applications of Ensemble Statistical Procedures  

E-Print Network (OSTI)

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

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

2011-01-01T23:59:59.000Z

152

FY 2010 Laboratory Table  

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

Laboratory Tables Laboratory Tables Preliminary May 2009 Office of Chief Financial Officer FY 2010 Congressional Budget Request Laboratory Tables Preliminary The numbers depicted in this document represent the gross level of DOE budget authority for the years displayed. The figures include both the discretionary and mandatory funding in the budget. They do not consider revenues/receipts, use of prior year balances, deferrals, rescissions, or other adjustments appropriated as offsets to the DOE appropriations by the Congress. Printed with soy ink on recycled paper Laboratory / Facility Index FY 2010 Congressional Budget Page 1 of 3 (Dollars In Thousands) 2:08:56PM Department Of Energy 5/4/2009 Page Number FY 2008 Appropriation FY 2009 Appropriation FY 2010 Request Laboratory Table 1 1 $1,200

153

FY 2008 State Table  

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

State Table State Table Preliminary Department of Energy FY 2008 Congressional Budget Request February 2007 Office of Chief Financial Officer State Table Preliminary Printed with soy ink on recycled paper The numbers depicted in this document represent the gross level of DOE budget authority for the years displayed. The figures include both the discretionary and mandatory funding in the budget. They do not consider revenues/receipts, uses of prior year balances, deferrals, rescissions, or other adjustments appropriated as offsets to the DOE appropriations by the Congress. State Index Page Number FY 2008 Congressional Budget 2/1/2007 Department Of Energy (Dollars In Thousands) 6:53:08AM Page 1 of 2 FY 2006 Appropriation FY 2007 Request FY 2008 Request State Table 1 1 $28,332 $30,341

154

FY 2009 State Table  

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

State Tables State Tables Preliminary February 2008 Office of Chief Financial Officer Department of Energy FY 2009 Congressional Budget Request State Tables Preliminary The numbers depicted in this document represent the gross level of DOE budget authority for the years displayed. The figures include both the discretionary and mandatory funding in the budget. They do not consider revenues/receipts, use of prior year balances, deferrals, rescissions, or other adjustments appropriated as offsets to the DOE appropriations by the Congress. Printed with soy ink on recycled paper State Index Page Number FY 2009 Congressional Budget 1/30/2008 Department Of Energy (Dollars In Thousands) 9:01:45AM Page 1 of 2 FY 2007 Appropriation FY 2008 Appropriation FY 2009 Request State Table 1 1 $27,588

155

FY 2005 State Table  

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

Office of Management, Budget Office of Management, Budget and Evaluation/CFO February 2004 State Tables State Tables Preliminary Preliminary Department of Energy Department of Energy FY 2005 Congressional Budget FY 2005 Congressional Budget Request Request Office of Management, Budget and Evaluation/CFO February 2004 State Tables State Tables Printed with soy ink on recycled paper Preliminary Preliminary The numbers depicted in this document represent the gross level of DOE budget authority for the years displayed. The figures include both the discretionary and mandatory funding in the budget. They do not consider revenues/receipts, uses of prior year balances, deferrals, rescissions, or other adjustments appropriated as offsets to the DOE appropriations by the Congress. State Index Page Number

156

FY 2010 State Table  

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

State Tables State Tables Preliminary May 2009 Office of Chief Financial Officer FY 2010 Congressional Budget Request State Tables Preliminary The numbers depicted in this document represent the gross level of DOE budget authority for the years displayed. The figures include both the discretionary and mandatory funding in the budget. They do not consider revenues/receipts, use of prior year balances, deferrals, rescissions, or other adjustments appropriated as offsets to the DOE appropriations by the Congress. Printed with soy ink on recycled paper State Index Page Number FY 2010 Congressional Budget 5/4/2009 Department Of Energy (Dollars In Thousands) 2:13:22PM Page 1 of 2 FY 2008 Appropriation FY 2009 Appropriation FY 2010 Request State Table 1 1 $46,946 $48,781 $38,844 Alabama 2 $6,569

157

FY 2006 State Table  

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

State Tables State Tables Preliminary Department of Energy FY 2006 Congressional Budget Request Office of Management, Budget and Evaluation/CFO February 2005 State Tables Preliminary Printed with soy ink on recycled paper The numbers depicted in this document represent the gross level of DOE budget authority for the years displayed. The figures include both the discretionary and mandatory funding in the budget. They do not consider revenues/receipts, uses of prior year balances, deferrals, rescissions, or other adjustments appropriated as offsets to the DOE appropriations by the Congress. State Index Page Number FY 2006 Congressional Budget 1/27/2005 Department Of Energy (Dollars In Thousands) 3:32:58PM Page 1 of 2 FY 2004 Comp/Approp FY 2005 Comp/Approp FY 2006 Request State Table

158

table E1  

U.S. Energy Information Administration (EIA)

AC Argentina AR Aruba AA Bahamas, The BF Barbados BB Belize BH Bolivia BL ... Table E.1 World Primary Energy Consumption (Btu), 1980-2006 (Quadrillion (10 15 ) Btu) Page

159

Table - Energy Information Administration  

U.S. Energy Information Administration (EIA)

September 2013 U.S. Energy Information 9/27/2013 9:52:45 AM Administration | Natural Gas Monthly 9 Created on: Table 4. U.S. natural gas imports ...

160

CBECS Buildings Characteristics --Revised Tables  

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

Buildings Use Tables Buildings Use Tables (24 pages, 129 kb) CONTENTS PAGES Table 12. Employment Size Category, Number of Buildings, 1995 Table 13. Employment Size Category, Floorspace, 1995 Table 14. Weekly Operating Hours, Number of Buildings, 1995 Table 15. Weekly Operating Hours, Floorspace, 1995 Table 16. Occupancy of Nongovernment-Owned and Government-Owned Buildings, Number of Buildings, 1995 Table 17. Occupancy of Nongovernment-Owned and Government-Owned Buildings, Floorspace, 1995 These data are from the 1995 Commercial Buildings Energy Consumption Survey (CBECS), a national probability sample survey of commercial buildings sponsored by the Energy Information Administration, that provides information on the use of energy in commercial buildings in the

Note: This page contains sample records for the topic "forecast 2001-2025 tables" 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

1997 Consumption and Expenditures Tables  

U.S. Energy Information Administration (EIA)

5HVLGHQWLDO (QHUJ\\ &RQVXPSWLRQ 6XUYH\\V 1997 Consumption and Expenditures Tables Appliances Consumption Tables (17 pages, 60 kb) Contents Pages CE5-1c.

162

Management Earnings Forecasts and Value of Analyst Forecast Revisions  

E-Print Network (OSTI)

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

Yongtae Kim; Minsup Song

2013-01-01T23:59:59.000Z

163

Chapter 11 Forecasting breaks and forecasting during breaks  

E-Print Network (OSTI)

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

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

2011-01-01T23:59:59.000Z

164

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

165

2001 Housing Characteristics Detailed Tables  

U.S. Energy Information Administration (EIA)

2001 Residential Energy Consumption Survey-Housing Characteristics, 2001 Detailed Tables, Energy Information Administration

166

Forecasting Uncertain Hotel Room Demand  

E-Print Network (OSTI)

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

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

2001-01-01T23:59:59.000Z

167

Supplement Tables - Contacts  

Gasoline and Diesel Fuel Update (EIA)

Homepage Homepage For Further Information... The Annual Energy Outlook 2001 (AEO2001) was prepared by the Energy Information Administration (EIA), Office of Integrated Analysis and Forecasting, under the direction of Mary J. Hutzler (mhutzler@eia.doe.gov, 202/586-2222), Director, Office of Integrated Analysis and Forecasting; Susan H. Holte (sholte@eia.doe.gov, 202/586-4838), Director of the Demand and Integration Division; James M. Kendell (jkendell@eia.doe.gov, 202/586-9646), Director of the Oil and Gas Division; Scott Sitzer (ssitzer@eia.doe.gov, 202/586-2308), Director of the Coal and Electric Power Division; and Andy S. Kydes (akydes@eia.doe.gov, 202/586-2222), Senior Modeling Analyst. For ordering information and questions on other energy statistics available from EIA, please contact EIA’s National Energy Information Center. Addresses, telephone numbers, and hours are as follows:

168

Aviation forecasting and systems analyses  

SciTech Connect

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

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

1980-01-01T23:59:59.000Z

169

Studies of inflation and forecasting.  

E-Print Network (OSTI)

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

Bermingham, Colin

2011-01-01T23:59:59.000Z

170

UWIG Forecasting Workshop -- Albany (Presentation)  

SciTech Connect

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

Lew, D.

2011-04-01T23:59:59.000Z

171

FY 2006 Laboratory Table  

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

Laboratory Tables Laboratory Tables Preliminary Department of Energy FY 2006 Congressional Budget Request Office of Management, Budget and Evaluation/CFO February 2005 Laboratory Tables Preliminary Printed with soy ink on recycled paper The numbers depicted in this document represent the gross level of DOE budget authority for the years displayed. The figures include both the discretionary and mandatory funding in the budget. They do not consider revenues/receipts, uses of prior year balances, deferrals, rescissions, or other adjustments appropriated as offsets to the DOE appropriations by the Congress. Laboratory / Facility Index FY 2006 Congressional Budget Page 1 of 3 (Dollars In Thousands) 3:43:16PM Department Of Energy 1/27/2005 Page Number FY 2004 Comp/Approp FY 2005 Comp/Approp

172

Fy 2009 Laboratory Table  

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

Laboratory Tables Laboratory Tables Preliminary February 2008 Office of Chief Financial Officer Department of Energy FY 2009 Congressional Budget Request Laboratory Tables Preliminary The numbers depicted in this document represent the gross level of DOE budget authority for the years displayed. The figures include both the discretionary and mandatory funding in the budget. They do not consider revenues/receipts, use of prior year balances, deferrals, rescissions, or other adjustments appropriated as offsets to the DOE appropriations by the Congress. Printed with soy ink on recycled paper Laboratory / Facility Index FY 2009 Congressional Budget Page 1 of 3 (Dollars In Thousands) 8:59:25AM Department Of Energy 1/30/2008 Page Number FY 2007 Appropriation FY 2008 Appropriation FY 2009

173

FY 2011 State Table  

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

State Tables State Tables Department of Energy FY 2011 Congressional Budget Request DOE/CF-0054 March 2010 Office of Chief Financial Officer State Tables Printed with soy ink on recycled paper The numbers depicted in this document represent the gross level of DOE budget authority for the years displayed. The figures include both the discretionary and mandatory funding in the budget. They do not consider revenues/receipts, use of prior year balances, deferrals, rescissions, or other adjustments appropriated as offsets to the DOE appropriations by the Congress. Department of Energy FY 2011 Congressional Budget Request DOE/CF-0054 State Index Page Number FY 2011 Congressional Budget 1/29/2010 Department Of Energy (Dollars In Thousands) 6:34:40AM Page 1 of 2 FY 2009 Appropriation

174

FY 2007 Laboratory Table  

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

Laboratory tables Laboratory tables preliminary Department of Energy FY 2007 Congressional Budget Request February 2006 Printed with soy ink on recycled paper Office of Chief Financial Officer Laboratory tables preliminary The numbers depicted in this document represent the gross level of DOE budget authority for the years displayed. The figures include both the discretionary and mandatory funding in the budget. They do not consider revenues/receipts, uses of prior year balances, deferrals, rescissions, or other adjustments appropriated as offsets to the DOE appropriations by the Congress. Laboratory / Facility Index FY 2007 Congressional Budget Page 1 of 3 (Dollars In Thousands) 12:10:40PM Department Of Energy 1/31/2006 Page Number FY 2005 Appropriation FY 2006 Appropriation FY 2007

175

FY 2011 Laboratory Table  

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

Laboratory Tables Laboratory Tables Department of Energy FY 2011 Congressional Budget Request DOE/CF-0055 March 2010 Office of Chief Financial Officer Laboratory Tables Printed with soy ink on recycled paper The numbers depicted in this document represent the gross level of DOE budget authority for the years displayed. The figures include both the discretionary and mandatory funding in the budget. They do not consider revenues/receipts, use of prior year balances, deferrals, rescissions, or other adjustments appropriated as offsets to the DOE appropriations by the Congress. Department of Energy FY 2011 Congressional Budget Request DOE/CF-0055 Laboratory / Facility Index FY 2011 Congressional Budget Page 1 of 3 (Dollars In Thousands) 6:24:57AM Department Of Energy 1/29/2010 Page

176

FY 2008 Laboratory Table  

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

Laboratory Table Laboratory Table Preliminary Department of Energy FY 2008 Congressional Budget Request February 2007 Office of Chief Financial Officer Laboratory Table Preliminary Printed with soy ink on recycled paper The numbers depicted in this document represent the gross level of DOE budget authority for the years displayed. The figures include both the discretionary and mandatory funding in the budget. They do not consider revenues/receipts, uses of prior year balances, deferrals, rescissions, or other adjustments appropriated as offsets to the DOE appropriations by the Congress. Laboratory / Facility Index FY 2008 Congressional Budget Page 1 of 3 (Dollars In Thousands) 6:51:02AM Department Of Energy 2/1/2007 Page Number FY 2006 Appropriation FY 2007 Request FY 2008 Request

177

A. G. A. six-month gas demand forecast July-December, 1984  

Science Conference Proceedings (OSTI)

Estimates of the total gas demand for 1984 (including pipeline fuel) range from 18,226 to 19,557 trillion (TBtu). The second half of the year shows a slower recovery rate as economic recovery moderates. The forecast show both actual and projected demand by month, and compares it with 1983 demand and by market sector. 6 tables.

Not Available

1984-01-01T23:59:59.000Z

178

Volume 15, number 5 June/July 2010 markets products analysis research forecasts  

E-Print Network (OSTI)

fundamentals, lumber and panel demand is going to grow too slowly to support today's production base, keeping/Veneer, Particle- board/MDF, USa, Canada Table 1 WOOD MARKETS' PRicE & HOuSing FOREcASTS: 2010­2011 Product

179

FY 2013 Statistical Table  

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

Statistical Table by Appropriation Statistical Table by Appropriation (dollars in thousands - OMB Scoring) FY 2011 FY 2012 FY 2013 Current Enacted Congressional Approp. Approp. * Request $ % Discretionary Summary By Appropriation Energy And Water Development, And Related Agencies Appropriation Summary: Energy Programs Energy efficiency and renewable energy........................................ 1,771,721 1,809,638 2,337,000 +527,362 +29.1% Electricity delivery and energy reliability......................................... 138,170 139,103 143,015 +3,912 +2.8% Nuclear energy................................................................................ 717,817 765,391 770,445 +5,054 +0.7% Fossil energy programs Clean coal technology.................................................................. -16,500 -- --

180

FY 2009 Statistical Table  

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

Statistical Table by Appropriation Statistical Table by Appropriation (dollars in thousands - OMB Scoring) FY 2007 FY 2008 FY 2009 Current Current Congressional Op. Plan Approp. Request $ % Discretionary Summary By Appropriation Energy And Water Development, And Related Agencies Appropriation Summary: Energy Programs Energy efficiency and renewable energy.......................... -- 1,722,407 1,255,393 -467,014 -27.1% Electricity delivery and energy reliability........................... -- 138,556 134,000 -4,556 -3.3% Nuclear energy................................................................. -- 961,665 853,644 -108,021 -11.2% Legacy management........................................................ -- 33,872 -- -33,872 -100.0% Energy supply and conservation Operation and maintenance..........................................

Note: This page contains sample records for the topic "forecast 2001-2025 tables" 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

On the Prediction of Forecast Skill  

Science Conference Proceedings (OSTI)

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

T. N. Palmer; S. Tibaldi

1988-12-01T23:59:59.000Z

182

Equitable Skill Scores for Categorical Forecasts  

Science Conference Proceedings (OSTI)

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

Lev S. Gandin; Allan H. Murphy

1992-02-01T23:59:59.000Z

183

Evaluation of errors in national energy forecasts.  

E-Print Network (OSTI)

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

Sakva, Denys

2005-01-01T23:59:59.000Z

184

What Is the True Value of Forecasts?  

Science Conference Proceedings (OSTI)

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

Antony Millner

2009-10-01T23:59:59.000Z

185

Lagged Ensembles, Forecast Configuration, and Seasonal Predictions  

Science Conference Proceedings (OSTI)

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

Mingyue Chen; Wanqiu Wang; Arun Kumar

2013-10-01T23:59:59.000Z

186

Whither the Weather Analysis and Forecasting Process?  

Science Conference Proceedings (OSTI)

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

Lance F. Bosart

2003-06-01T23:59:59.000Z

187

Lagged Ensembles, Forecast Configuration, and Seasonal Predictions  

Science Conference Proceedings (OSTI)

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

Mingyue Chen; Wanqiu Wang; Arun Kumar

188

Improving Forecast Communication: Linguistic and Cultural Considerations  

Science Conference Proceedings (OSTI)

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

Karen Pennesi

2007-07-01T23:59:59.000Z

189

Ensemble Cloud Model Applications to Forecasting Thunderstorms  

Science Conference Proceedings (OSTI)

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

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

2002-04-01T23:59:59.000Z

190

Probabilistic Verification of Monthly Temperature Forecasts  

Science Conference Proceedings (OSTI)

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

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

2008-12-01T23:59:59.000Z

191

CALIFORNIA ENERGY DEMAND 20122022 FINAL FORECAST  

E-Print Network (OSTI)

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

192

CALIFORNIA ENERGY DEMAND 20142024 FINAL FORECAST  

E-Print Network (OSTI)

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

193

A Forecast for the California Labor Market  

E-Print Network (OSTI)

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

Mitchell, Daniel J. B.

2001-01-01T23:59:59.000Z

194

Operational Forecaster Uncertainty Needs and Future Roles  

Science Conference Proceedings (OSTI)

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

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

2008-12-01T23:59:59.000Z

195

Calibration of Probabilistic Forecasts of Binary Events  

Science Conference Proceedings (OSTI)

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

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

2009-03-01T23:59:59.000Z

196

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

197

Forecasting women's apparel sales using mathematical  

E-Print Network (OSTI)

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

Raheja, Amar

198

Diagnosing Forecast Errors in Tropical Cyclone Motion  

Science Conference Proceedings (OSTI)

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

Thomas J. Galarneau Jr.; Christopher A. Davis

2013-02-01T23:59:59.000Z

199

Forecasting Electric Vehicle Costs with Experience Curves  

E-Print Network (OSTI)

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

Lipman, Timonthy E.; Sperling, Daniel

2001-01-01T23:59:59.000Z

200

Calibration of Probabilistic Quantitative Precipitation Forecasts  

Science Conference Proceedings (OSTI)

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

Roman Krzysztofowicz; Ashley A. Sigrest

1999-06-01T23:59:59.000Z

Note: This page contains sample records for the topic "forecast 2001-2025 tables" 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

Evaluating Probabilistic Forecasts Using Information Theory  

Science Conference Proceedings (OSTI)

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

Mark S. Roulston; Leonard A. Smith

2002-06-01T23:59:59.000Z

202

Virtual Floe Ice Drift Forecast Model Intercomparison  

Science Conference Proceedings (OSTI)

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

Robert W. Grumbine

1998-09-01T23:59:59.000Z

203

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

E-Print Network (OSTI)

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

James Mitchell; Kenneth F. Wallis

2008-01-01T23:59:59.000Z

204

The evolution of consensus in macroeconomic forecasting  

E-Print Network (OSTI)

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

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

2004-01-01T23:59:59.000Z

205

TABLE OF CONTENTS  

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

/2011 /2011 Decades of Discovery Decades of Discovery Page 2 6/1/2011 TABLE OF CONTENTS 1 INTRODUCTION ...................................................................................................................... 6 2 BASIC ENERGY SCIENCES .................................................................................................. 7 2.1 Adenosine Triphosphate: The Energy Currency of Life .............................................. 7 2.2 Making Better Catalysts .............................................................................................. 8 2.3 Understanding Chemical Reactions............................................................................ 9 2.4 New Types of Superconductors ................................................................................ 10

206

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

207

Improving Forecasting: A plea for historical retrospectives  

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

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

208

Background pollution forecast over bulgaria  

Science Conference Proceedings (OSTI)

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

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

2009-06-01T23:59:59.000Z

209

Frequency Dependence in Forecast Skill  

Science Conference Proceedings (OSTI)

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

H. M. van Den Dool; Suranjana Saha

1990-01-01T23:59:59.000Z

210

Annual Energy Outlook Forecast Evaluation  

Gasoline and Diesel Fuel Update (EIA)

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

211

Annual Energy Outlook Forecast Evaluation  

Gasoline and Diesel Fuel Update (EIA)

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

212

DND: a model for forecasting electrical energy usage by water-resource subregion  

SciTech Connect

A forecast methodology was derived from principles of econometrics using exogenous variables, i.e., cost of electricity, consumer income, and price elasticity as indicators of growth for each consuming sector: residential, commercial, and industrial. The model was calibrated using forecast data submitted to the Department of Energy (DOE) by the nine Regional Electric Reliability Councils. Estimates on electrical energy usage by specific water-resource subregion were obtained by normalizing forecasted total electrical energy usage by state into per capita usage. The usage factor and data on forecasted population were applied for each water resource subregion. The results derived using the model are self-consistent and in good agreement with DOE Energy Information Administration projections. The differences that exist are largely the result of assumptions regarding specific aggregations and assignment of regional-system reliability and load factors. 8 references, 2 figures, 13 tables.

Sonnichsen, J.C. Jr.

1980-02-01T23:59:59.000Z

213

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

E-Print Network (OSTI)

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

214

Model documentation: electricity market module. [15 year forecasts  

SciTech Connect

This report documents the electricity market model. This model is a component of the Intermediate Future Forecasting System (IFFS), the energy market model used to provide projections of energy markets up to 15 years into the future. The electricity market model was developed by the Supply Analysis and Integration Branch as part of building the larger system. This report is written for an audience consisting of mathematical economists, statisticians, operations research analysts, and utility planners. This report contains an overview and a mathematical specification of the electricity market module. It includes a description of the model logic and the individual subroutines in the computer code. A companion document Intermediate Future Forecasting System: Executive Summary (DOE/EIA-430) provides an overview of the components in IFFS and their linkages. 22 figures, 2 tables.

Sanders, R.C.; Murphy, F.H.

1984-12-01T23:59:59.000Z

215

EJ and EK Pay Table  

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

The EJ and EK pay table excludes locality pay. Refer to the General Schedule Complete Set of Locality Pay Tables to determine the locality pay for your applicable geographic area.

216

February 2013 Table of Contents  

Science Conference Proceedings (OSTI)

Inform February 2013 table of contents. February 2013 Table of Contents inform Magazine algae algal AOCS biomass business chemistry cottonseed date detergents fats filing first history inform inform Magazine international inventor law magazine me

217

Visualization of truth tables - CECM  

E-Print Network (OSTI)

Nov 19, 1997 ... Visualization of truth tables. The Figures are computer-generated tables that show the value 1 as being represented by a black pixel and 0 by a...

218

January 2013 Table of Contents  

Science Conference Proceedings (OSTI)

inform January 2013 table of contents. January 2013 Table of Contents inform Magazine algae algal AOCS biomass business chemistry cottonseed date detergents fats filing first history inform inform Magazine international inventor law magazine membe

219

FY 2012 Laboratory Table  

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

5 5 Department of Energy FY 2012 Congressional Budget Request Laboratory Tables y Preliminary February 2012 Office of Chief Financial Officer DOE/CF-0065 Department of Energy FY 2012 Congressional Budget Request Laboratory Tables P li i Preliminary h b d i d i hi d h l l f b d h i f h The numbers depicted in this document represent the gross level of DOE budget authority for the years displayed. The figures include both the discretionary and mandatory funding in the budget. They do not consider revenues/receipts, use of prior year balances, deferrals, rescissions, or other adjustments appropriated as offsets to the DOE appropriations by the Congress. February 2012 Office of Chief Financial Officer Printed with soy ink on recycled paper Laboratory / Facility Index FY 2012 Congressional Budget

220

FY 2008 Statistical Table  

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

Statistical Table by Appropriation Statistical Table by Appropriation (dollars in thousands - OMB Scoring) FY 2006 FY 2007 FY 2008 Current Congressional Congressional Approp. Request Request $ % Discretionary Summary By Appropriation Energy And Water Development, And Related Agencies Appropriation Summary: Energy Programs Energy supply and conservation Operation and maintenance........................................... 1,781,242 1,917,331 2,187,943 +270,612 +14.1% Construction.................................................................... 31,155 6,030 -- -6,030 -100.0% Total, Energy supply and conservation............................. 1,812,397 1,923,361 2,187,943 +264,582 +13.8% Fossil energy programs Clean coal technology.................................................... -20,000 -- -58,000 -58,000 N/A Fossil energy research and development......................

Note: This page contains sample records for the topic "forecast 2001-2025 tables" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


221

FY 2006 Statistical Table  

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

Statistical Table by Appropriation Statistical Table by Appropriation (dollars in thousands - OMB Scoring) FY 2004 FY 2005 FY 2006 Comparable Comparable Request to FY 2006 vs. FY 2005 Approp Approp Congress Discretionary Summary By Appropriation Energy And Water Development Appropriation Summary: Energy Programs Energy supply Operation and maintenance................................................. 787,941 909,903 862,499 -47,404 -5.2% Construction......................................................................... 6,956 22,416 40,175 17,759 +79.2% Total, Energy supply................................................................ 794,897 932,319 902,674 -29,645 -3.2% Non-Defense site acceleration completion............................. 167,272 157,316 172,400 15,084 +9.6%

222

FY 2013 Laboratory Table  

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

8 8 Department of Energy FY 2013 Congressional Budget Request Laboratory Tables y Preliminary February 2012 Office of Chief Financial Officer DOE/CF-0078 Department of Energy FY 2013 Congressional Budget Request Laboratory Tables P li i Preliminary h b d i d i hi d h l l f b d h i f h The numbers depicted in this document represent the gross level of DOE budget authority for the years displayed. The figures include both the discretionary and mandatory funding in the budget. They do not consider revenues/receipts, use of prior year balances, deferrals, rescissions, or other adjustments appropriated as offsets to the DOE appropriations by the Congress. February 2012 Office of Chief Financial Officer Printed with soy ink on recycled paper Laboratory / Facility Index FY 2013 Congressional Budget

223

FY 2010 Statistical Table  

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

Statistical Table by Appropriation Statistical Table by Appropriation (dollars in thousands - OMB Scoring) FY 2008 FY 2009 FY 2009 FY 2010 Current Current Current Congressional Approp. Approp. Recovery Request $ % Discretionary Summary By Appropriation Energy And Water Development, And Related Agencies Appropriation Summary: Energy Programs Energy efficiency and renewable energy....................................... 1,704,112 2,178,540 16,800,000 2,318,602 +140,062 +6.4% Electricity delivery and energy reliability........................................ 136,170 137,000 4,500,000 208,008 +71,008 +51.8% Nuclear energy.............................................................................. 960,903 792,000 -- 761,274 -30,726 -3.9% Legacy management..................................................................... 33,872 -- -- --

224

FY 2012 State Table  

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

6 6 Department of Energy FY 2012 Congressional Budget Request State Tables P li i Preliminary February 2012 Office of Chief Financial Officer DOE/CF-0066 Department of Energy FY 2012 Congressional Budget Request State Tables P li i Preliminary The numbers depicted in this document represent the gross level of DOE budget authority for the years displayed. The figures include both the discretionary and mandatory funding in the budget. They displayed. The figures include both the discretionary and mandatory funding in the budget. They do not consider revenues/receipts, use of prior year balances, deferrals, rescissions, or other adjustments appropriated as offsets to the DOE appropriations by the Congress. February 2012 Office of Chief Financial Officer Printed with soy ink on recycled

225

FY 2012 Statistical Table  

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

2Statistical Table by Appropriation 2Statistical Table by Appropriation (dollars in thousands - OMB Scoring) FY 2010 FY 2011 FY 2011 FY 2012 Current Congressional Annualized Congressional Approp. Request CR Request $ % Discretionary Summary By Appropriation Energy And Water Development, And Related Agencies Appropriation Summary: Energy Programs Energy efficiency and renewable energy....................................... 2,216,392 2,355,473 2,242,500 3,200,053 +983,661 +44.4% Electricity delivery and energy reliability........................................ 168,484 185,930 171,982 237,717 +69,233 +41.1% Nuclear energy............................................................................. 774,578 824,052 786,637 754,028 -20,550 -2.7% Fossil energy programs Fossil energy research and development................................... 659,770 586,583 672,383 452,975

226

FY 2007 Statistical Table  

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

Statistical Table by Appropriation Statistical Table by Appropriation (dollars in thousands - OMB Scoring) FY 2005 FY 2006 FY 2007 Current Current Congressional Approp. Approp. Request $ % Discretionary Summary By Appropriation Energy And Water Development, And Related Agencies Appropriation Summary: Energy Programs Energy supply and conservation Operation and maintenance............................................ 1,779,399 1,791,372 1,917,331 +125,959 +7.0% Construction................................................................... 22,416 21,255 6,030 -15,225 -71.6% Total, Energy supply and conservation.............................. 1,801,815 1,812,627 1,923,361 +110,734 +6.1% Fossil energy programs Clean coal technology..................................................... -160,000 -20,000 -- +20,000 +100.0% Fossil energy research and development.......................

227

May 2011 Table of Contents  

Science Conference Proceedings (OSTI)

May 2011 Table of Contents Inform Magazine Inform Archives News 266 Insect oils: nutritional and industrial applications Many

228

October 2010 Table of Contents  

Science Conference Proceedings (OSTI)

October 2010 Table of Contents Inform Magazine Inform Archives News 598 Universal detectors for determination of lipids in biodiesel producti

229

Table of Contents  

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

COMMUNICATIONS REQUIREMENTS COMMUNICATIONS REQUIREMENTS OF SMART GRID TECHNOLOGIES October 5, 2010 i Table of Contents I. Introduction and Executive Summary.......................................................... 1 a. Overview of Smart Grid Benefits and Communications Needs................. 2 b. Summary of Recommendations .................................................................... 5 II. Federal Government Smart Grid Initiatives ................................................ 7 a. DOE Request for Information ....................................................................... 7 b. Other Federal Government Smart Grid Initiatives .................................... 9 III. Communications Requirements of Smart Grid Applications .................. 11 a. Advanced Metering Infrastructure ............................................................12

230

2003 CBECS Detailed Tables: Summary  

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

the Tables | Estimation of Energy End-Use Consumption | CBECS Glossary | FAQs | Other Years: 1999 1995 1992 Complete Set of All Tables (Tables A1-A8, B1-B46, C1-C38, C1A-C38A,...

231

Load Forecast For use in Resource Adequacy  

E-Print Network (OSTI)

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

232

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

233

CALIFORNIA ENERGY DEMAND 20122022 FINAL FORECAST  

E-Print Network (OSTI)

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

234

Combining forecast weights: Why and how?  

Science Conference Proceedings (OSTI)

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

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

2012-01-01T23:59:59.000Z

235

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

236

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

237

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

238

Quantitative Precipitation Forecast Techniques for Use in Hydrologic Forecasting  

Science Conference Proceedings (OSTI)

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

Konstantine P. Georgakakos; Michael D. Hudlow

1984-11-01T23:59:59.000Z

239

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

240

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

Note: This page contains sample records for the topic "forecast 2001-2025 tables" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


241

EIA - Forecasts and Analysis of Energy Data  

Gasoline and Diesel Fuel Update (EIA)

Nuclear Generating Capacity Data Tables (2002-2025) Formats Projections of Nuclear Generating Capacity Data Tables (1 to 4 complete) Excel PDF Table Title Table F1 World Nuclear...

242

EIA - Supplement Tables - Contact  

Gasoline and Diesel Fuel Update (EIA)

8 8 For Further Information . . . The Annual Energy Outlook 2008 (AEO2008) was prepared by the Energy Information Administration (EIA), under the direction of John J. Conti (john.conti@eia.doe.gov, 202-586-2222), Director, Integrated Analysis and Forecasting; Paul D. Holtberg (paul.holtberg@eia.doe.gov, 202/586-1284), Director, Demand and Integration Division; Joseph A. Beamon (jbeamon@eia.doe.gov, 202/586-2025), Director, Coal and Electric Power Division; A. Michael Schaal (michael.schaal@eia.doe.gov, 202/586-5590), Director, Oil and Gas Division; Glen E. Sweetnam (glen.sweetnam@eia.doe.gov, 202/586-2188), Director, International, Economic, and Greenhouse Gases Division; and Andy S. Kydes (akydes@eia.doe.gov, 202/586-2222), Senior Technical Advisor.

243

Supplement Tables - Supplemental Data  

Gasoline and Diesel Fuel Update (EIA)

5 5 For Further Information . . . The Annual Energy Outlook 2005 (AEO2005) was prepared by the Energy Information Administration (EIA), under the direction of John J. Conti (john.conti@eia.doe.gov, 202/586-2222), Director, Integrated Analysis and Forecasting and Acting Director, International, Economic and Greenhouse Gases Division; Paul D. Holtberg (paul.holtberg@eia.doe.gov, 202/586-1284), Director, Demand and Integration Division; Joseph A. Beamon (joseph.beamon@eia.doe.gov, 202-586-2025), Director, Coal and Electric Power Division; James M. Kendell (james.kendell@eia.doe.gov, 202/586-9646), Director, Oil and Gas Division; and Andy S. Kydes (andy.kydes@eia.doe.gov, 202/586-2222), Senior Technical Advisor. For ordering information and questions on other energy statistics available from EIA, please contact EIA's National Energy Information Center. Addresses, telephone numbers, and hours are as follows:

244

Consensus forecast of U. S. energy supply and demand to the year 2000  

DOE Green Energy (OSTI)

Methods used in forecasting energy supply and demand are described, and recent forecasts are reviewed briefly. Forecasts to the year 2000 are displayed in tables and graphs and are used to prepare consensus forecasts for each form of fuel and energy supply. Fuel demand and energy use by consuming sector are tabulated for 1972 and 1975 for the various fuel forms. The distribution of energy consumption by use sector, as projected for the years 1985 and 2000 in the ERDA-48 planning report (Scenario V), is normalized to match the consensus energy supply forecasts. The results are tabulated listing future demand for each fuel and energy form by each major energy-use category. Recent estimates of U.S. energy resources are also reviewed briefly and are presented in tables for each fuel and energy form. The outlook for fossil fuel resources to the year 2040, as developed by the Institute for Energy Analysis at the Oak Ridge Associated Universities, is also presented.

Lane, J.A.

1976-02-01T23:59:59.000Z

245

CBECS Buildings Characteristics --Revised Tables  

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

Geographic Location Tables Geographic Location Tables (24 pages, 136kb) CONTENTS PAGES Table 3. Census Region, Number of Buildings and Floorspace, 1995 Table 4. Census Region and Division, Number of Buildings, 1995 Table 5. Census Region and Division, Floorspace, 1995 Table 6. Climate Zone, Number of Buildings and Floorspace, 1995 Table 7. Metropolitan Status, Number of Buildings and Floorspace, 1995 These data are from the 1995 Commercial Buildings Energy Consumption Survey (CBECS), a national probability sample survey of commercial buildings sponsored by the Energy Information Administration, that provides information on the use of energy in commercial buildings in the United States. The 1995 CBECS was the sixth survey in a series begun in 1979. The data were collected from a sample of 6,639 buildings representing 4.6 million commercial buildings

246

2003 CBECS Detailed Tables: Summary  

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

2003 Detailed Tables 2003 Detailed Tables 2003 CBECS Detailed Tables most recent available Released: September 2008 Building Characteristics | Consumption & Expenditures | End-Use Consumption In the 2003 CBECS, the survey procedures for strip shopping centers and enclosed malls ("mall buildings") were changed from those used in previous surveys, and, as a result, mall buildings are now excluded from most of the 2003 CBECS tables. Therefore, some data in the majority of the tables are not directly comparable with previous CBECS tables, all of which included mall buildings. Some numbers in the 2003 tables will be slightly lower than earlier surveys since the 2003 figures do not include mall buildings. See "Change in Data Collection Procedures for Malls" for a more detailed explanation.

247

Downscaling Extended Weather Forecasts for Hydrologic Prediction  

SciTech Connect

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

Leung, Lai-Yung R.; Qian, Yun

2005-03-01T23:59:59.000Z

248

Forecast Energy | Open Energy Information  

Open Energy Info (EERE)

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

249

Value of Wind Power Forecasting  

DOE Green Energy (OSTI)

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

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

2011-04-01T23:59:59.000Z

250

Fuzzy forecasting with DNA computing  

Science Conference Proceedings (OSTI)

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

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

2006-06-01T23:59:59.000Z

251

Sampling Errors in Seasonal Forecasting  

Science Conference Proceedings (OSTI)

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

Stephen Cusack; Alberto Arribas

2009-03-01T23:59:59.000Z

252

Scoring Rules for Forecast Verification  

Science Conference Proceedings (OSTI)

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

Riccardo Benedetti

2010-01-01T23:59:59.000Z

253

Wavelets and Field Forecast Verification  

Science Conference Proceedings (OSTI)

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

William M. Briggs; Richard A. Levine

1997-06-01T23:59:59.000Z

254

Richardson's Barotropic Forecast: A Reappraisal  

Science Conference Proceedings (OSTI)

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

Peter Lynch

1992-01-01T23:59:59.000Z

255

Table of Contents  

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

NT0005638 NT0005638 Cruise Report 1-19 July 2009 HYFLUX Sea Truth Cruise Northern Gulf of Mexico Submitted by: Texas A&M University - Corpus Christi 6300 Ocean Dr. Corpus Christi, TX 78412 Principal Authors: Ian R. MacDonald and Thomas Naehr Prepared for: United States Department of Energy National Energy Technology Laboratory October 30, 2009 Office of Fossil Energy HYFLUX Seatruth Cruise Report -1- Texas A&M University - Corpus Christi Table of Contents Summary ............................................................................................................................. 2 Participating Organizations ................................................................................................. 3 Major Equipment ................................................................................................................ 4

256

Engineering Tables: Polymeric Materials  

Science Conference Proceedings (OSTI)

Table 6   Chemical resistance ratings for selected plastics and metals...B A A C C C ? B C A A A Miscellaneous Detergents Laundry and dishwashing detergents, soaps A ? A ? B ? ? A A A ? B A ? A A B Inorganic salts Zinc chloride, cupric sulfate B B B ? A ? ? A ? A ? ? A A B B B Oxidizing agents, strong 30% hydrogen peroxide, bromine (wet) C C C ? C ? B B ? C ? ? A ? C C C...

257

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

Science Conference Proceedings (OSTI)

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

Marion P. Mittermaier

2008-10-01T23:59:59.000Z

258

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

Science Conference Proceedings (OSTI)

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

Paul J. Roebber; Lance F. Bosart

1996-12-01T23:59:59.000Z

259

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

Science Conference Proceedings (OSTI)

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

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

2013-02-01T23:59:59.000Z

260

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

Note: This page contains sample records for the topic "forecast 2001-2025 tables" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


261

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

Science Conference Proceedings (OSTI)

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

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

2009-04-01T23:59:59.000Z

262

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

Science Conference Proceedings (OSTI)

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

Hae-Kyung Lee Drbohlav; V. Krishnamurthy

2010-09-01T23:59:59.000Z

263

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

Science Conference Proceedings (OSTI)

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

Allan H. Murphy

1993-06-01T23:59:59.000Z

264

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

Science Conference Proceedings (OSTI)

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

Barbara G. Brown; Allan H. Murphy

1987-09-01T23:59:59.000Z

265

Residential Energy Consumption Survey Data Tables  

U.S. Energy Information Administration (EIA)

Below are historical data tables from the Residential Energy Consumption Survey (RECS). These tables cover the total number of households ...

266

Consensus forecast of U. S. electricity supply and demand to the year 2000  

SciTech Connect

Recent forecasts of total electricity generating capacity and energy demand as well as for electricity produced from nuclear energy and hydroelectric power are presented in tables and graphs to the year 2000. A forecast of the distribution of type of fuel and energy source that will supply the future electricity demand is presented. Use of electricity by each major consuming sector is presented for 1975. Projected demands for electricity in the years 1985 and 2000, as allocated to consuming sectors, are derived and presented.

Lane, J.A.

1976-02-01T23:59:59.000Z

267

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

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

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

268

Forecasting new product penetration with flexible substitution patterns  

E-Print Network (OSTI)

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

Brownstone, David; Train, Kenneth

1999-01-01T23:59:59.000Z

269

Overestimation Reduction in Forecasting Telecommuting as a TDM Policy  

E-Print Network (OSTI)

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

Tal, Gil

2008-01-01T23:59:59.000Z

270

Forecasting US CO2 Emissions Using State-Level Data  

E-Print Network (OSTI)

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

Steinhauser, Ralf; Auffhammer, Maximilian

2005-01-01T23:59:59.000Z

271

NoVaS Transformations: Flexible Inference for Volatility Forecasting  

E-Print Network (OSTI)

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

Politis, Dimitris N; Thomakos, Dimitrios D

2008-01-01T23:59:59.000Z

272

Forecasting new product penetration with flexible substitution patterns  

E-Print Network (OSTI)

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

Brownstone, David; Train, Kenneth

1999-01-01T23:59:59.000Z

273

Earthquake Forecasting in Diverse Tectonic Zones of the Globe  

E-Print Network (OSTI)

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

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

2010-01-01T23:59:59.000Z

274

Ensemble-based methods for forecasting census in hospital units  

E-Print Network (OSTI)

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

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

2013-01-01T23:59:59.000Z

275

Forecasting Danerous Inmate Misconduct: An Applications of Ensemble Statistical Procedures  

E-Print Network (OSTI)

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

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

2005-01-01T23:59:59.000Z

276

Developing a Practical Forecasting Screener for Domestic Violence Incidents  

E-Print Network (OSTI)

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

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

2011-01-01T23:59:59.000Z

277

Forecasting with Dynamic Microsimulation: Design, Implementation, and Demonstration  

E-Print Network (OSTI)

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

Ravulaparthy, Srinath; Goulias, Konstadinos G.

2011-01-01T23:59:59.000Z

278

CARINA Data Table  

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

Cruise Summary Table and Data Cruise Summary Table and Data Users are requested to report any data or metadata errors in the CARINA cruise files to CDIAC. Parameter units in all CARINA data files are in CCHDO exchange format. No Cruise Namea (Alias) Areab Number of Stations Datec Ship Chief Scientist Carbon PI Oxygen Nutrients TCO2d TALK pCO2e pHf CFC Other Measurements Data Files 1 06AQ19920929g (06ANTX_6) (See map) 2 118 9/29-11/30/1992 Polarstern V. Smetacek M. Stoll, J. Rommets, H. De Baar, D. Bakker 62 114h 53 54i U C 0 Choloroa,b Fluorescence, NH4 Data Files (Metadata) 2 06AQ19930806 (06ARKIX_4) (See map) 4 64 8/6-10/5/1993 Polarstern D.K. Fütterer L. Anderson 64 63 63j, bb 0 0 0 59he 3H, 3He, 18O, 14C, 85Kr, Bak Data Files

279

Appendix B: Summary Tables  

Gasoline and Diesel Fuel Update (EIA)

U.S. Energy Information Administration | Analysis of Impacts of a Clean Energy Standard as requested by Chairman Bingaman U.S. Energy Information Administration | Analysis of Impacts of a Clean Energy Standard as requested by Chairman Bingaman Appendix B: Summary Tables Table B1. The BCES and alternative cases compared to the Reference case, 2025 2009 2025 Ref Ref BCES All Clean Partial Credit Revised Baseline Small Utilities Credit Cap 2.1 Credit Cap 3.0 Stnds + Cds Generation (billion kilowatthours) Coal 1,772 2,049 1,431 1,305 1,387 1,180 1,767 1,714 1,571 1,358 Petroleum 41 45 43 44 44 44 45 45 45 43 Natural Gas 931 1,002 1,341 1,342 1,269 1,486 1,164 1,193 1,243 1,314 Nuclear 799 871 859 906 942 889 878 857 843 826 Conventional Hydropower 274 306 322 319 300 321 316 298 312 322 Geothermal 15 25 28 25 31 24 27 22 23 24 Municipal Waste 18 17 17 17 17 17 17 17 17 17 Wood and Other Biomass 38 162 303 289 295 301 241 266

280

Light truck forecasts  

SciTech Connect

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

Liepins, G.E.

1979-09-01T23:59:59.000Z

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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

CBECS Buildings Characteristics --Revised Tables  

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

Conservation Tables Conservation Tables (16 pages, 86 kb) CONTENTS PAGES Table 41. Energy Conservation Features, Number of Buildings and Floorspace, 1995 Table 42. Building Shell Conservation Features, Number of Buildings, 1995 Table 43. Building Shell Conservation Features, Floorspace, 1995 Table 44. Reduction in Equipment Use During Off Hours, Number of Buildings and Floorspace, 1995 These data are from the 1995 Commercial Buildings Energy Consumption Survey (CBECS), a national probability sample survey of commercial buildings sponsored by the Energy Information Administration, that provides information on the use of energy in commercial buildings in the United States. The 1995 CBECS was the sixth survey in a series begun in 1979. The data were collected from a sample of 6,639 buildings representing 4.6 million commercial buildings

282

CBECS Buildings Characteristics --Revised Tables  

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

Structure Tables Structure Tables (16 pages, 93 kb) CONTENTS PAGES Table 8. Building Size, Number of Buildings, 1995 Table 9. Building Size, Floorspace, 1995 Table 10. Year Constructed, Number of Buildings, 1995 Table 11. Year Constructed, Floorspace, 1995 These data are from the 1995 Commercial Buildings Energy Consumption Survey (CBECS), a national probability sample survey of commercial buildings sponsored by the Energy Information Administration, that provides information on the use of energy in commercial buildings in the United States. The 1995 CBECS was the sixth survey in a series begun in 1979. The data were collected from a sample of 6,639 buildings representing 4.6 million commercial buildings and 58.8 billion square feet of commercial floorspace in the U.S. The 1995 data are available for the four Census

283

Solar Energy Market Forecast | Open Energy Information  

Open Energy Info (EERE)

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

284

EIA Table E.1C  

U.S. Energy Information Administration (EIA)

AC Argentina AR Aruba AA Bahamas, The BF Barbados BB Belize BH Bolivia BL Brazil BR Cayman Islands CJ ... World Total ww NA - - Table Posted: December 19, 2008

285

Characteristics of truth tables - CECM  

E-Print Network (OSTI)

Nov 19, 1997... fairly straightforward because each row represents an assignment of truth values ... A truth table is a standard binary ordering of 2-partitions.

286

1993 Housing Characteristics -Detailed Tables  

U.S. Energy Information Administration (EIA)

Within each section, except for Air-conditioning and Light Usage, ... the Light Usage section includes a table that describes indoor light usage by ...

287

2011 22 Table of for  

U.S. Energy Information Administration (EIA)

2011 60 U.S. Energy Information Administration | Natural Gas Annual Table 22. Number of natural gas industrial consumers by type of ...

288

Microsoft Word - table_23.doc  

Gasoline and Diesel Fuel Update (EIA)

4 Table 23. Average Price of Natural Gas Delivered to Consumers by State and Sector, 2006 (Dollars per Thousand Cubic Feet) Alabama ... 18.80 100.00...

289

Faculty Search Table of Contents  

E-Print Network (OSTI)

October 28 2009 Faculty Search Committee Procedures Handbook #12;#12;#12;Table of Contents........................................................................................................................7 Charge to Search Committee................................................................................................................................8 Role of the Search Committee Chair

New Mexico, University of

290

March 2012 Table of Contents  

Science Conference Proceedings (OSTI)

March 2012 Table of Contents Inform Magazine Inform Archives News March 2012 World supplies of rapeseed and canola likely to remain tight in the 201

291

Microsoft Word - table_24.doc  

Annual Energy Outlook 2012 (EIA)

0 Table 24. Percent Distribution of Natural Gas Supply and Disposition by State, 2006 Alabama ... 1.44 1.81...

292

Microsoft Word - table_25.doc  

Gasoline and Diesel Fuel Update (EIA)

4 Table 25. Percent Distribution of Natural Gas Supply and Disposition by State, 2008 Alabama ... 1.19 1.74...

293

Microsoft Word - table_25.doc  

Annual Energy Outlook 2012 (EIA)

4 Table 25. Percent Distribution of Natural Gas Supply and Disposition by State, 2007 Alabama ... 1.31 1.83...

294

Microsoft Word - table_24.doc  

Annual Energy Outlook 2012 (EIA)

0 Table 24. Percent Distribution of Natural Gas Supply and Disposition by State, 2005 Alabama ... 1.56 1.59...

295

Microsoft Word - table_25.doc  

Annual Energy Outlook 2012 (EIA)

4 Table 25. Percent Distribution of Natural Gas Supply and Disposition by State, 2009 Alabama ... 1.1 2.0...

296

Table G3  

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

1905-0194 1905-0194 Expiration Date: 07/31/2013 May 28, 2010 Voluntary Reporting of Greenhouse Gases 14 Table G3. Decision Chart for a Start Year Report for a Large Emitter Intending To Register Reductions Report Characteristics Reporting Requirements Schedule I Schedule II (For Each Subentity) Schedule III Schedule IV Sec. 1 Sec. 2 Sec. 3 Sec. 4 Sec. 1 Sec. 2 & Add. A Sec. 3 Sec. 1 Sec. 2 Sec. 1 Sec. 2 Part A Part B Part C Part D Part E Part A Part B Part C Independent Verification? All A- or B-Rated Methods? Foreign Emissions? Entity-Wide Reductions Only? Entity Statement Aggregated Emissions by Gas (Domestic and Foreign) † Emissions Inventory by Source

297

TABLE OF CONTENTS  

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

through June 2001 2 TABLE OF CONTENTS Page A. Project Summary 1. Technical Progress 3 2. Cost Reporting 4 B. Detailed Reports 1.1 Magnets & Supports 9 1.2 Vacuum System 16 1.3 Power Supplies 21 1.4 RF System 25 1.5 Instrumentation & Controls 26 1.6 Cable Plant 28 1.8 Facilities 28 2.0 Accelerator Physics 29 2.1 ES&H 31 3 A. SPEAR 3 PROJECT SUMMARY 1. Technical Progress Magnet System - The project has received three shipments of magnets from IHEP. A total of 55 dipole, quadrupole and sextupole magnets out of 218 have arrived. All main magnets will arrive by December. The additional mechanical and electrical checks of the magnets at SSRL have been successful. Only minor mechanical problems were found and corrected. The prototype

298

TABLE OF CONTENTS  

National Nuclear Security Administration (NNSA)

AC05-00OR22800 AC05-00OR22800 TABLE OF CONTENTS Contents Page # TOC - i SECTION A - SOLICITATION/OFFER AND AWARD ......................................................................... A-i SECTION B - SUPPLIES OR SERVICES AND PRICES/COSTS ........................................................ B-i B.1 SERVICES BEING ACQUIRED ....................................................................................B-2 B.2 TRANSITION COST, ESTIMATED COST, MAXIMUM AVAILABLE FEE, AND AVAILABLE FEE (Modification 295, 290, 284, 280, 270, 257, 239, 238, 219, M201, M180, M162, M153, M150, M141, M132, M103, M092, M080, M055, M051, M049, M034, M022, M003, A002) ..........................................................B-2 SECTION C - DESCRIPTION/SPECIFICATION/WORK STATEMENT DESCRIPTION OF

299

Table of Contents  

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

U U U . . S S . . D D E E P P A A R R T T M M E E N N T T O O F F E E N N E E R R G G Y Y O O F F F F I I C C E E O O F F I I N N S S P P E E C C T T O O R R G G E E N N E E R R A A L L Semiannual Report toCongress DOE/IG-0065 April 1 - September 30, 2013 TABLE OF CONTENTS From the Desk of the Inspector General ..................................................... 2 Impacts Key Accomplishments ............................................................................................... 3 Positive Outcomes ...................................................................................................... 3 Reports Investigative Outcomes .............................................................................................. 6 Audits ......................................................................................................................... 8

300

TABLE OF CONTENTS  

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

October October through December 2001 2 TABLE OF CONTENTS Page A. Project Summary 1. Technical Progress 3 2. Cost Reporting 4 B. Detailed Reports 1.1 Magnets & Supports 7 1.2 Vacuum System 9 1.3 Power Supplies 13 1.4 RF System 16 1.5 Instrumentation & Controls 17 1.6 Cable Plant 18 1.9 Installation 19 2.0 Accelerator Physics 20 3 A. SPEAR 3 PROJECT SUMMARY 1. Technical Progress In the magnet area, the production of all major components (dipoles, quadrupoles, and sextupoles) has been completed on schedule. This results from a highly successful collaboration with our colleagues at the Institute of High Energy Physics (IHEP) in Beijing. The production of corrector magnets is still in progress with completion scheduled for May 2002.

Note: This page contains sample records for the topic "forecast 2001-2025 tables" 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

Microsoft Word - table_87  

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

5 5 Table 6. Natural gas processed, liquids extracted, and natural gas plant liquids production, by state, 2012 Alabama 87,269 5,309 7,110 Alabama Onshore Alabama 33,921 2,614 3,132 Alabama Offshore Alabama 53,348 2,695 3,978 Alaska 2,788,997 18,339 21,470 Alaska 2,788,997 18,339 21,470 Arkansas 6,872 336 424 Arkansas 6,872 336 424 California 169,203 9,923 12,755 California Onshore California 169,203 9,923 12,755 California Offshore California NA NA NA Federal Offshore California NA NA NA

302

TABLE OF CONTENTS  

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

2 2 TABLE OF CONTENTS Page A. Project Summary 1. Technical Progress 3 2. Cost Reporting 5 B. Detailed Reports 1.1 Magnets & Supports 8 1.2 Vacuum System 12 1.3 Power Supplies 14 1.4 RF System 16 1.5 Instrumentation & Controls 17 1.6 Cable Plant 18 1.7 Beam Line Front Ends 19 1.8 Facilities 19 1.9 Installation 20 2.1 Accelerator Physics 21 2 A. SPEAR 3 PROJECT SUMMARY 1. Technical Progress The progress and highlights of each major technical system are summarized below. Additional details are provided in Section B. Magnets - As of the end of this quarter (March 31, 2002), the status of magnet fabrication is as follows: Magnet Type Number Received % of Total Received Dipoles 40 100% Quadrupoles 102 100% Sextupoles 76 100%

303

Reviews, Tables, and Plots  

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

4 Review of Particle Physics 4 Review of Particle Physics Please use this CITATION: S. Eidelman et al. (Particle Data Group), Phys. Lett. B 592, 1 (2004) (bibtex) Standalone figures are now available for these reviews. Categories: * Constants, Units, Atomic and Nuclear Properties * Standard Model and Related Topics * Particle Properties * Hypothetical Particles * Astrophysics and Cosmology * Experimental Methods and Colliders * Mathematical Tools * Kinematics, Cross-Section Formulae, and Plots * Authors, Introductory Text, History plots PostScript help file PDF help file Constants, Units, Atomic and Nuclear Properties Physical constants (Rev.) PS PDF (1 page) Astrophysical constants (Rev.) PS PDF (2 pages) International System of units (SI) PS PDF (2 pages) Periodic table of the elements (Rev.) errata PS PDF (1 page)

304

Engineering Tables: Reinforcement Materials  

Science Conference Proceedings (OSTI)

Table 1   Properties of key reinforcement materials...3 GPa 10 6 psi GPa 10 6 psi GPa 10 6 psi Carbon fiber (pitch) E = 55 ? 10 6 psi 2.0 0.072 380 55 ? ? 190 28 E = 75 ? 10 6 psi 2.0 0.072 520 75 ? ? 260 38 E = 100 ? 10 6 psi 2.2 0.078 690 100 5 0.7 314 46 E = 120 ? 10 6 psi 2.2 0.078 830 120 5 0.7 377 55 E = 130 ? 10 6 psi 2.2 0.078 895 130 5 0.7 407...

305

Annual Energy Outlook 2006 with Projections to 2030 - Forecast Comparisons  

Gasoline and Diesel Fuel Update (EIA)

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

306

Help:Tables | Open Energy Information  

Open Energy Info (EERE)

Tables Tables Jump to: navigation, search Tables may be authored in wiki pages using either XHTML table elements directly, or using wikicode formatting to define the table. XHTML table elements and their use are well described on various web pages and will not be discussed here. The benefit of wikicode is that the table is constructed of character symbols which tend to make it easier to perceive the table structure in the article editing view compared to XHTML table elements. As a general rule, it is best to avoid using a table unless you need one. Table markup often complicates page editing. Contents 1 Wiki table markup summary 2 Basics 2.1 Table headers 2.2 Caption 3 XHTML attributes 3.1 Attributes on tables 3.2 Attributes on cells 3.3 Attributes on rows 3.4 HTML colspan and rowspan

307

Summary Verification Measures and Their Interpretation for Ensemble Forecasts  

Science Conference Proceedings (OSTI)

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

A. Allen Bradley; Stuart S. Schwartz

2011-09-01T23:59:59.000Z

308

A Review of Numerical Forecast Guidance for Hurricane Hugo  

Science Conference Proceedings (OSTI)

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

John H. Ward

1990-09-01T23:59:59.000Z

309

Using Customers' Reported Forecasts to Predict Future Sales  

E-Print Network (OSTI)

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

Murphy, Robert F.

310

Short-Range Ensemble Forecasts of Precipitation Type  

Science Conference Proceedings (OSTI)

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

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

2005-08-01T23:59:59.000Z

311

EIA - Forecasts and Analysis of Energy Data  

Gasoline and Diesel Fuel Update (EIA)

Projection Tables (1990-2025) Projection Tables (1990-2025) Formats All Reference Case Data Projection Tables (1 to 14 complete) Excel PDF Table Title Table A1 World Total Primary Energy Consumption by Region, Reference Case Excel PDF Table A2 World Total Energy Consumption by Region and Fuel, Reference Case Excel PDF Table A3 World Gross Domestic Product (GDP) by Region, Reference Case Excel PDF Table A4 World Oil Consumption by Region, Reference Case Excel PDF Table A5 World Natural Gas Consumption by Region, Reference Case Excel PDF Table A6 World Coal Consumption by Region, Reference Case Excel PDF Table A7 World Nuclear Energy Consumption by Region, Reference Case Excel PDF Table A8 World Consumption of Hydroelectricity and Other Renewable Energy by Region, Reference Case Excel PDF Table A9 World Net Electricity Consumption by Region, Reference Case

312

Annual Energy Outlook Forecast Evaluation  

Gasoline and Diesel Fuel Update (EIA)

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

313

Management of supply chain: an alternative modelling technique for forecasting  

E-Print Network (OSTI)

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

Datta, Shoumen

2007-05-23T23:59:59.000Z

314

The Automated Tropical Cyclone Forecasting System (ATCF)  

Science Conference Proceedings (OSTI)

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

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

1990-12-01T23:59:59.000Z

315

Performance of Recent Multimodel ENSO Forecasts  

Science Conference Proceedings (OSTI)

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

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

2012-03-01T23:59:59.000Z

316

Local Forecast Communication In The Altiplano  

Science Conference Proceedings (OSTI)

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

Jere L. Gilles; Corinne Valdivia

2009-01-01T23:59:59.000Z

317

Evaluation of LFM-2 Quantitative Precipitation Forecasts  

Science Conference Proceedings (OSTI)

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

Lance F. Bosart

1980-08-01T23:59:59.000Z

318

Bayesian Model Verification of NWP Ensemble Forecasts  

Science Conference Proceedings (OSTI)

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

Andreas Rpnack; Andreas Hense; Christoph Gebhardt; Detlev Majewski

2013-01-01T23:59:59.000Z

319

Value from Ambiguity in Ensemble Forecasts  

Science Conference Proceedings (OSTI)

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

Mark S. Allen; F. Anthony Eckel

2012-02-01T23:59:59.000Z

320

Forecaster Workstation Design: Concepts and Issues  

Science Conference Proceedings (OSTI)

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

Charles A. Doswell III

1992-06-01T23:59:59.000Z

Note: This page contains sample records for the topic "forecast 2001-2025 tables" 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

Economic and Statistical Measures of Forecast Accuracy  

E-Print Network (OSTI)

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

Granger, Clive W J; Pesaran, M Hashem

2004-06-16T23:59:59.000Z

322

2013 Midyear Economic Forecast Sponsorship Opportunity  

E-Print Network (OSTI)

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

de Lijser, Peter

323

Forecasting consumer products using prediction markets  

E-Print Network (OSTI)

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

Trepte, Kai

2009-01-01T23:59:59.000Z

324

Probabilistic Visibility Forecasting Using Bayesian Model Averaging  

Science Conference Proceedings (OSTI)

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

Richard M. Chmielecki; Adrian E. Raftery

2011-05-01T23:59:59.000Z

325

Intercomparison of Spatial Forecast Verification Methods  

Science Conference Proceedings (OSTI)

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

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

2009-10-01T23:59:59.000Z

326

Forecasting with Reference to a Specific Climatology  

Science Conference Proceedings (OSTI)

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

Emily Wallace; Alberto Arribas

2012-11-01T23:59:59.000Z

327

Probabilistic Quantitative Precipitation Forecasts for River Basins  

Science Conference Proceedings (OSTI)

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

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

1993-12-01T23:59:59.000Z

328

A General Framework for Forecast Verification  

Science Conference Proceedings (OSTI)

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

Allan H. Murphy; Robert L. Winkler

1987-07-01T23:59:59.000Z

329

Antarctic Satellite Meteorology: Applications for Weather Forecasting  

Science Conference Proceedings (OSTI)

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

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

2003-02-01T23:59:59.000Z

330

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

Science Conference Proceedings (OSTI)

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

Theodore W. Funk

1991-12-01T23:59:59.000Z

331

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

Science Conference Proceedings (OSTI)

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

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

2009-06-01T23:59:59.000Z

332

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.

333

table14.xls  

Gasoline and Diesel Fuel Update (EIA)

Table 14. Natural Gas Wellhead Prices, Actual vs. Reference Case Projections Table 14. Natural Gas Wellhead Prices, Actual vs. Reference Case Projections (current dollars per thousand cubic feet) 1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 AEO 1982 4.32 5.47 6.67 7.51 8.04 8.57 AEO 1983 2.93 3.11 3.46 3.93 4.56 5.26 12.74 AEO 1984 2.77 2.90 3.21 3.63 4.13 4.79 9.33 AEO 1985 2.60 2.61 2.66 2.71 2.94 3.35 3.85 4.46 5.10 5.83 6.67 AEO 1986 1.73 1.96 2.29 2.54 2.81 3.15 3.73 4.34 5.06 5.90 6.79 7.70 8.62 9.68 10.80 AEO 1987 1.83 1.95 2.11 2.28 2.49 2.72 3.08 3.51 4.07 7.54 AEO 1989* 1.62 1.70 1.91 2.13 2.58 3.04 3.48 3.93 4.76 5.23 5.80 6.43 6.98 AEO 1990 1.78 1.88 2.93 5.36 AEO 1991 1.77 1.90 2.11 2.30 2.42 2.51 2.60 2.74 2.91 3.29 3.75 4.31 5.07 5.77 6.45 AEO 1992 1.69 1.85 2.03 2.15 2.35 2.51 2.74 3.01 3.40 3.81 4.24 4.74 5.25 5.78 AEO 1993 1.85 1.94 2.09 2.30 2.44 2.60 2.85 3.12 3.47 3.84 4.31 4.81 5.28

334

ARM - Instrument - s-table  

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

govInstrumentss-table govInstrumentss-table Documentation S-TABLE : Instrument Mentor Monthly Summary (IMMS) reports S-TABLE : Data Quality Assessment (DQA) reports ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Instrument : Stabilized Platform (S-TABLE) Instrument Categories Ocean Observations For ship-based deployments, some instruments require actively stabilized platforms to compensate for the ship's motion, especially rotations around the long axis of the ship (roll), short axis (pitch), and, for some instruments, vertical axis (yaw). ARM currently employs two types of stabilized platforms: one electrically controlled for lighter instruments that includes yaw control (dubbed RPY for Roll, Pitch, Yaw) and one

335

Forecasting for energy and chemical decision analysis  

SciTech Connect

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

Cazalet, E.G.

1984-08-01T23:59:59.000Z

336

A Rank Approach to Equity Forecast Construction  

E-Print Network (OSTI)

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

Satchell, Stephen E; Wright, Stephen M

2006-03-14T23:59:59.000Z

337

TABLE OF CONTENTS  

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

Turbines The Gas Turbine Handbook The Gas Turbine Handbook TABLE OF CONTENTS Acknowledgements Updated Author Contact Information Introduction - Rich Dennis, Turbines Technology Manager 1.1 Simple and Combined Cycles - Claire Soares 1.1-1 Introduction 1.1-2 Applications 1.1-3 Applications versatility 1.1-4 The History of the Gas Turbine 1.1-5 Gas Turbine, Major Components, Modules, and systems 1.1-6 Design development with Gas Turbines 1.1-7 Gas Turbine Performance 1.1-8 Combined Cycles 1.1-9 Notes 1.2 Integrated Coal Gasification Combined Cycle (IGCC) - Massod Ramezan and Gary Stiegel 1.2-1 Introduction 1.2-2 The Gasification Process 1.2-3 IGCC Systems 1.2-4 Gasifier Improvements 1.2-5 Gas Separation Improvements 1.2-6 Conclusions 1.2-7 Notes 1.2.1 Different Types of Gasifiers and Their Integration with Gas Turbines - Jeffrey Phillips

338

MECS Fuel Oil Tables  

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

: Actual, Minimum and Maximum Use Values for Fuel Oils and Natural Gas : Actual, Minimum and Maximum Use Values for Fuel Oils and Natural Gas Year Distillate Fuel Oil (TBtu) Actual Minimum Maximum Discretionary Rate 1985 185 148 1224 3.4% 1994 152 125 1020 3.1% Residual Fuel Oil (TBtu) Actual Minimum Maximum Discretionary Rate 1985 505 290 1577 16.7% 1994 441 241 1249 19.8% Natural Gas (TBtu) Actual Minimum Maximum Discretionary Rate 1985 4656 2702 5233 77.2% 1994 6141 4435 6758 73.4% Source: Energy Information Administration, Office of Energy Markets and End Use, 1985 and 1994 Manufacturing Energy Consumption Surveys. Table 2: Establishments That Actually Switched Between Natural Gas and Residual Fuel Oil Type of Switch Number of Establishments in Population Number That Use Original Fuel Percentage That Use Original Fuel Number That Can Switch to Another Fuel Percentage That Can Switch to Another Fuel Number That Actually Made a Switch Percentage That Actually Made a Switch

339

Load Forecasting for Modern Distribution Systems  

Science Conference Proceedings (OSTI)

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

2013-03-08T23:59:59.000Z

340

CALIFORNIA ENERGY DEMAND 20142024 FINAL FORECAST  

E-Print Network (OSTI)

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

Note: This page contains sample records for the topic "forecast 2001-2025 tables" 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

CALIFORNIA ENERGY DEMAND 20142024 REVISED FORECAST  

E-Print Network (OSTI)

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

342

REVISED CALIFORNIA ENERGY DEMAND FORECAST 20122022  

E-Print Network (OSTI)

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

343

REVISED CALIFORNIA ENERGY DEMAND FORECAST 20122022  

E-Print Network (OSTI)

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

344

Load forecast and treatment of conservation  

E-Print Network (OSTI)

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

345

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

346

STAFF FORECAST: AVERAGE RETAIL ELECTRICITY PRICES  

E-Print Network (OSTI)

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

347

Blue Chip Consensus US GDP Forecast  

E-Print Network (OSTI)

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

James F. Wilson

2007-01-01T23:59:59.000Z

348

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

349

System Demonstration Multilingual Weather Forecast Generation System  

E-Print Network (OSTI)

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

350

(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

351

Modeling and Forecasting Electric Daily Peak Loads  

E-Print Network (OSTI)

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

Abdel-Aal, Radwan E.

352

CBECS 1992 - Consumption & Expenditures, Detailed Tables  

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

Detailed Tables Detailed Tables Detailed Tables Figure on Energy Consumption in Commercial Buildings by Energy Source, 1992 Divider Line The 49 tables present detailed energy consumption and expenditure data for buildings in the commercial sector. This section provides assistance in reading the tables by explaining some of the headings for the data categories. It will also explain the use of row and column factors to compute both the confidence levels of the estimates given in the tables and the statistical significance of differences between the data in two or more categories. The section concludes with a "Quick-Reference Guide" to the statistics in the different tables. Categories of Data in the Tables After Table 3.1, which is a summary table, the tables are grouped into the major fuel tables (Tables 3.2 through 3.13) and the specific fuel tables (Tables 3.14 through 3.29 for electricity, Tables 3.30 through 3.40 for natural gas, Tables 3.41 through 3.45 for fuel oil, and Tables 3.46 through 3.47 for district heat). Table 3.48 presents energy management and DSM data as reported by the building respondent. Table 3.49 presents data on participation in electric utility-sponsored DSM programs as reported by both the building respondent and the electricity supplier.

353

EIA - Forecasts and Analysis of Energy Data  

Gasoline and Diesel Fuel Update (EIA)

Low Economic Growth Case Projection Tables (1990-2025) Low Economic Growth Case Projection Tables (1990-2025) Formats Low Economic Growth Case Data Projection Tables (1 to 13 complete) Excel PDF Table Title Table C1 World Total Primary Energy Consumption by Region, Low Economic Growth Case Excel PDF Table C2 World Total Energy Consumption by Region and Fuel, Low Economic Growth Case Excel PDF Table C3 World Gross Domestic Product (GDP) by Region, Low Economic Growth Case Excel PDF Table C4 World Oil Consumption by Region, Low Economic Growth Case Excel PDF Table C5 World Natural Cas Consumption by Region, Low Economic Growth Case Excel PDF Table C6 World Coal Consumption by Region, Low Economic Growth Case Excel PDF Table C7 World Nuclear Energy Consumption by Region, Low Economic Growth Case Excel PDF Table C8 World Consumption of Hydroelectricity and Other Renewable Energy by Region, Low Economic Growth Case

354

EIA - Forecasts and Analysis of Energy Data  

Gasoline and Diesel Fuel Update (EIA)

High Economic Growth Case Projection Tables (1990-2025) High Economic Growth Case Projection Tables (1990-2025) Formats High Economic Growth Case Data Projection Tables (1 to 13 complete) Excel PDF Table Title Table B1 World Total Primary Energy Consumption by Region, High Economic Growth Case Excel PDF Table B2 World Total Energy Consumption by Region and Fuel, High Economic Growth Case Excel PDF Table B3 World Gross Domestic Product (GDP) by Region, High Economic Growth Case Excel PDF Table B4 World Oil Consumption by Region, High Economic Growth Case Excel PDF Table B5 World Natural Cas Consumption by Region, High Economic Growth Case Excel PDF Table B6 World Coal Consumption by Region, High Economic Growth Case Excel PDF Table B7 World Nuclear Energy Consumption by Region, High Economic Growth Case Excel PDF Table B8 World Consumption of Hydroelectricity and Other Renewable Energy by Region, High Economic Growth Case

355

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

Science Conference Proceedings (OSTI)

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

2001-09-28T23:59:59.000Z

356

Annual Energy Outlook Forecast Evaluation  

Gasoline and Diesel Fuel Update (EIA)

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

357

Price forecasting for notebook computers  

E-Print Network (OSTI)

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

Rutherford, Derek Paul

1997-01-01T23:59:59.000Z

358

Table of Contents INTRODUCTION ......................................................................................................................................4  

E-Print Network (OSTI)

Natural gas prices, as well as oil and coal prices, are forecast using an Excel spreadsheet model in more detail than oil and coal prices. Residential and commercial sector retail natural gas prices market to help keep natural gas prices low. Continuing declines in coal prices coupled with improved

359

FY 2014 Budget Request Summary Table | Department of Energy  

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

Summary Table FY 2014 Budget Request Summary Table Summary Table by Appropriations Summary Table by Organization More Documents & Publications FY 2014 Budget Justification Details...

360

MECS 1991 Publications and Tables  

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

Publication and Tables Publication and Tables Publication and Tables Figure showing the Largest Energy Consumers in the Manufacturing Sector You have the option of downloading the entire report or selected sections of the report. Full Report - Manufacturing Consumption of Energy 1991 (file size 17.2 MB) pages:566 Selected Sections Main Text (file size 380,153 bytes) pages: 33, includes the following: Contacts Contents Executive Summary Introduction Energy Consumption in the Manufacturing Sector: An Overview Energy Consumption in the Manufacturing Sector, 1991 Manufacturing Capability To Switch Fuels Appendices Appendix A. Detailed Tables Appendix B. Survey Design, Implementation, and Estimates (file size 141,211 bytes) pages: 22. Appendix C. Quality of the Data (file size 135,511 bytes) pages: 8.

Note: This page contains sample records for the topic "forecast 2001-2025 tables" 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

June 2012 Table of Contents  

Science Conference Proceedings (OSTI)

June 2012 Table of Contents Inform Magazine Inform Archives News June 2012 Science and modern art Oil paintings produced after the industrialization of paint manufacture often are more vulnerable to degradation than

362

Table H.1co2  

U.S. Energy Information Administration (EIA)

AC Argentina AR Aruba AA Bahamas, The BF Barbados BB Belize BH Bolivia BL ... Table H.1co2 World Carbon Dioxide Emissions from the Consumption and Flaring of Fossil ...

363

April 2011 Table of Contents  

Science Conference Proceedings (OSTI)

April 2011 Table of Contents Inform Magazine Inform Archives News 186 Letter from the president Outgoing AOCS President J. Keith Grime reviews progress made in 2010 and looks forward to the organization's incre

364

September 2012 Table of Contents  

Science Conference Proceedings (OSTI)

September 2012 Table of Contents Inform Magazine Inform Archives News September 2012 Nanoscale oil confinement in fat crystal networks: Why puff pastries are a new frontier for theoretical physicists A theoretical p

365

1997 Consumption and Expenditures Tables  

U.S. Energy Information Administration (EIA)

Table CE5-1e. Appliances1 Energy Expenditures in U.S. Households by Climate Zone, 1997 RSE Column Factor: Total Climate Zone2 RSE Row Factors Fewer than 2,000 CDD and --

366

March 2011 Table of Contents  

Science Conference Proceedings (OSTI)

March 2011 Table of Contents Inform Magazine Inform Archives News 126 Innovative, sustainable consumption: A challenge for the entire value chain In our continuing coverage of the 7th World Conference on Detergents,

367

April 2012 Table of Contents  

Science Conference Proceedings (OSTI)

April 2012 Table of Contents Inform Magazine Inform Archives News April 2012 Letter from the president Outgoing AOCS President Erich Dumelin reviews progress in 2011 and looks forward to the organizations inc

368

Microsoft Word - table_02.doc  

Gasoline and Diesel Fuel Update (EIA)

Table 2. Natural Gas Production, Transmission, and Consumption, by State, 2007 (Million Cubic Feet) Alabama ... 270,407 19,831 77,311 90,589 0 -69 0 418,545...

369

Microsoft Word - table_02.doc  

Gasoline and Diesel Fuel Update (EIA)

Table 2. Natural Gas Production, Transmission, and Consumption, by State, 2009 (Million Cubic Feet) Alabama ... 236,029 17,232 -25,416 258,787 0 -2,099 0 454,268...

370

Microsoft Word - table_02.doc  

Gasoline and Diesel Fuel Update (EIA)

Table 2. Natural Gas Production, Transmission, and Consumption, by State, 2006 (Million Cubic Feet) Alabama ... 286,220 21,065 37,079 97,347 0 8,484 0 391,098...

371

Microsoft Word - table_02.doc  

Gasoline and Diesel Fuel Update (EIA)

3 Table 2. Natural Gas Production, Transmission, and Consumption, by State, 2005 (Million Cubic Feet) Alabama ... 296,528 13,759 131,734 -60,062 0 103 0 354,339...

372

Microsoft Word - table_02.doc  

Gasoline and Diesel Fuel Update (EIA)

Table 2. Natural Gas Production, Transmission, and Consumption, by State, 2008 (Million Cubic Feet) Alabama ... 257,884 17,222 1,335 166,539 0 4,379 0 404,157...

373

All Price Tables.vp  

Annual Energy Outlook 2012 (EIA)

Administration State Energy Data 2010: Prices and Expenditures 3 2 0 1 0 S U M M A R I E S Table E2. Total End-Use Energy Price Estimates, 2010 (Dollars per Million Btu)...

374

January 2012 Table of Contents  

Science Conference Proceedings (OSTI)

inform magazine January 2012 Table of Contents Inform Magazine Inform Archives News January 2012 Oilseeds in Australia Australia is now one of the worlds top three exporters of canola oil. inform take

375

Microsoft Word - table_22.doc  

Gasoline and Diesel Fuel Update (EIA)

3 Table 22. Average City Gate Price of Natural Gas in the United States, 2001-2005 (Dollars per Thousand Cubic Feet) Alabama ... 6.63 4.74 6.06 6.65...

376

Microsoft Word - table_22.doc  

Annual Energy Outlook 2012 (EIA)

5 Table 22. Average Citygate Price of Natural Gas in the United States, 2005-2009 (Dollars per Thousand Cubic Feet) Alabama ... 8.47 10.26 8.78 9.84...

377

June 2010 Table of Contents  

Science Conference Proceedings (OSTI)

June 2010 Table of Contents 330 AOCS 2.0 debuts A drum roll, please: The new AOCS web experience, otherwise known as AOCS 2.0, debuted in early May. Ca

378

August 2010 Table of Contents  

Science Conference Proceedings (OSTI)

August 2010 Table of Contents Inform Magazine Inform Archives News 471 Letter from the President AOCS President J. Keith Grime discusses the areas that AOCS will focus on in t

379

May 2012 Table of Contents  

Science Conference Proceedings (OSTI)

May 2012 Table of Contents Inform Magazine Inform Archives News May 2012 Chocolate science Chocolate may be soft, but the science behind it is not. This issue features the latest research on this delectable topic....

380

1997 Consumption and Expenditures Tables  

U.S. Energy Information Administration (EIA)

Table CE4-1e. Water-Heating Energy Expenditures in U.S. Households by Climate Zone, 1997 RSE Column Factor: Total Climate Zone1 RSE Row Factors Fewer than 2,000 CDD ...

Note: This page contains sample records for the topic "forecast 2001-2025 tables" 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

Microsoft Word - table_26.doc  

Annual Energy Outlook 2012 (EIA)

5 Table 26. Percent Distribution of Natural Gas Delivered to Consumers by State, 2009 Alabama ... 0.8 0.8 2.1 0.3 3.3 Alaska... 0.4...

382

Microsoft Word - table_25.doc  

Annual Energy Outlook 2012 (EIA)

1 Table 25. Percent Distribution of Natural Gas Delivered to Consumers by State, 2005 Alabama ... 0.87 0.86 2.24 0.52 1.79 Alaska......

383

Microsoft Word - table_25.doc  

Annual Energy Outlook 2012 (EIA)

1 Table 25. Percent Distribution of Natural Gas Delivered to Consumers by State, 2006 Alabama ... 0.87 0.86 2.31 0.67 2.34 Alaska......

384

Microsoft Word - table_26.doc  

Annual Energy Outlook 2012 (EIA)

5 Table 26. Percent Distribution of Natural Gas Delivered to Consumers by State, 2008 Alabama ... 0.78 0.80 2.14 0.36 2.46 Alaska......

385

Microsoft Word - table_26.doc  

Annual Energy Outlook 2012 (EIA)

5 Table 26. Percent Distribution of Natural Gas Delivered to Consumers by State, 2007 Alabama ... 0.75 0.78 2.27 0.47 2.57 Alaska......

386

February 2012 Table of Contents  

Science Conference Proceedings (OSTI)

inform magazine February 2012 Table of Contents Inform Magazine Inform Archives News February 2012 66 Patrick Donnelly named CEO of AOCS Our new CEO, Patrick Donnelly, brings a passion for sci

387

October 2011 Table of Contents  

Science Conference Proceedings (OSTI)

October 2011 Table of Contents Inform Magazine Inform Archives News 542 Soy and breast cancer Are soy foods safe for postmenopausal women who have had breast cancer? Associate Editor Catherine Watk

388

October 2012 Table of Contents  

Science Conference Proceedings (OSTI)

October 2012 Table of Contents Inform Magazine Inform Archives News October 2012 The science behind optimal frying Understanding the frying process can lead to better food and fat quality, a higher degree of control

389

September 2011 Table of Contents  

Science Conference Proceedings (OSTI)

September 2011 Table of Contents Inform Magazine Inform Archives News 478 IOM panel recommends tripling vitamin D intake: Panels conservative approach receives criticism The 102nd AOCS Annua

390

Household Vehicles Energy Consumption 1994 - PDF Tables  

U.S. Energy Information Administration (EIA)

Table 1 U.S. Number of Vehicles, Vehicle Miles, Motor Fuel Consumption and Expenditures, 1994 Table 2 U.S. per Household Vehicle Miles Traveled, Vehicle Fuel ...

391

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

Science Conference Proceedings (OSTI)

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

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

1981-01-01T23:59:59.000Z

392

Essays on macroeconomics and forecasting  

E-Print Network (OSTI)

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

Liu, Dandan

2005-08-01T23:59:59.000Z

393

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

Science Conference Proceedings (OSTI)

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

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

1998-12-01T23:59:59.000Z

394

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

E-Print Network (OSTI)

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

Evans, MDD; Lyons, Richard K.

2005-01-01T23:59:59.000Z

395

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

E-Print Network (OSTI)

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

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

2010-01-01T23:59:59.000Z

396

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

E-Print Network (OSTI)

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

Letschert, Virginie

2010-01-01T23:59:59.000Z

397

EIA - Annual Energy Outlook 2009 - chapter Tables  

Gasoline and Diesel Fuel Update (EIA)

Chapter Tables Chapter Tables Annual Energy Outlook 2009 with Projections to 2030 Chapter Tables Table 1. Estimated fuel economy for light-duty vehicles, based on proposed CAFE standards, 2010-2015 Table 2. State appliance efficiency standards and potential future actions Table 3. State renewable portfolio standards Table 4. Key analyses from "issues in Focus" in recent AEOs Table 5. Liquid fuels production in three cases, 2007 and 2030 Table 6. Assumptions used in comparing conventional and plug-in hybrid electric vehicles Table 7. Conventional vehicle and plug-in hybrid system component costs for mid-size vehicles at volume production Table 8. Technically recoverable resources of crude oil and natural gas in the Outer Continental Shelf, as of January 1, 2007

398

Critical Operating Constraint Forecasting (COCF)  

Science Conference Proceedings (OSTI)

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

2006-06-30T23:59:59.000Z

399

R/ECON July 2000 Forecast RUTGERS ECONOMIC ADVISORY SERVICE  

E-Print Network (OSTI)

R/ECON July 2000 Forecast RUTGERS ECONOMIC ADVISORY SERVICE FORECAST OF JULY 2000 NEW JERSEY of growth will decelerate over the forecast period. The R/ECON TM forecast for New Jersey in 2000 looks to decelerate over the course of the forecast. These forces will combine to push the unemployment rate to more

400

Increasing NOAA's computational capacity to improve global forecast modeling  

E-Print Network (OSTI)

1 Increasing NOAA's computational capacity to improve global forecast modeling A NOAA of the NWS's forecast products, even its regional forecast products, are constrained by the limitations of NOAA's global forecast model. Unfortunately, our global forecasts are less accurate than those from

Hamill, Tom

Note: This page contains sample records for the topic "forecast 2001-2025 tables" 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

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

Science Conference Proceedings (OSTI)

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

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

1989-09-01T23:59:59.000Z

402

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

Science Conference Proceedings (OSTI)

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

Jianguo Liu; Zhenghui Xie

403

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

Science Conference Proceedings (OSTI)

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

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

2010-03-01T23:59:59.000Z

404

A Probabilistic Forecast Contest and the Difficulty in Assessing Short-Range Forecast Uncertainty  

Science Conference Proceedings (OSTI)

Results are presented from a probability-based weather forecast contest. Rather than evaluating the absolute errors of nonprobabilistic temperature and precipitation forecasts, as is common in other contests, this contest evaluated the skill of ...

Thomas M. Hamill; Daniel S. Wilks

1995-09-01T23:59:59.000Z

405

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

Science Conference Proceedings (OSTI)

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

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

2010-01-01T23:59:59.000Z

406

Implications of Ensemble Quantitative Precipitation Forecast Errors on Distributed Streamflow Forecasting  

Science Conference Proceedings (OSTI)

Evaluating the propagation of errors associated with ensemble quantitative precipitation forecasts (QPFs) into the ensemble streamflow response is important to reduce uncertainty in operational flow forecasting. In this paper, a multifractal ...

Giuseppe Mascaro; Enrique R. Vivoni; Roberto Deidda

2010-02-01T23:59:59.000Z

407

Evaluation of Probabilistic Precipitation Forecasts Determined from Eta and AVN Forecasted Amounts  

Science Conference Proceedings (OSTI)

This note examines the connection between the probability of precipitation and forecasted amounts from the NCEP Eta (now known as the North American Mesoscale model) and Aviation (AVN; now known as the Global Forecast System) models run over a 2-...

William A. Gallus Jr.; Michael E. Baldwin; Kimberly L. Elmore

2007-02-01T23:59:59.000Z

408

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

Science Conference Proceedings (OSTI)

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

David J. Stensrud; Nusrat Yussouf

2007-02-01T23:59:59.000Z

409

The Impact of Writing Area Forecast Discussions on Student Forecaster Performance  

Science Conference Proceedings (OSTI)

A brief study is provided on the forecast performance of students who write a mock area forecast discussion (AFD) on a weekly basis. Student performance was tracked for one semester (11 weeks) during the University of MissouriColumbia's local ...

Patrick S. Market

2006-02-01T23:59:59.000Z

410

An Operational Model for Forecasting Probability of Precipitation and Yes/No Forecast  

Science Conference Proceedings (OSTI)

An operational system for forecasting probability of precipitation (PoP) and yes/no forecast over 10 stations during monsoon season is developed. A perfect prog method (PPM) approach is followed for statistical interpretation of numerical weather ...

Ashok Kumar; Parvinder Maini; S. V. Singh

1999-02-01T23:59:59.000Z

411

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

Science Conference Proceedings (OSTI)

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

A. Sankarasubramanian; Upmanu Lall; Susan Espinueva

2008-04-01T23:59:59.000Z

412

Evaluation of MJO Forecast Skill from Several Statistical and Dynamical Forecast Models  

Science Conference Proceedings (OSTI)

This work examines the performance of MaddenJulian oscillation (MJO) forecasts from NCEPs coupled and uncoupled general circulation models (GCMs) and statistical models. The forecast skill from these methods is evaluated in nearreal time. ...

Kyong-Hwan Seo; Wanqiu Wang; Jon Gottschalck; Qin Zhang; Jae-Kyung E. Schemm; Wayne R. Higgins; Arun Kumar

2009-05-01T23:59:59.000Z

413

Evaluation of Probabilistic Medium-Range Temperature Forecasts from the North American Ensemble Forecast System  

Science Conference Proceedings (OSTI)

Ensemble temperature forecasts from the North American Ensemble Forecast System were assessed for quality against observations for 10 cities in western North America, for a 7-month period beginning in February 2007. Medium-range probabilistic ...

Doug McCollor; Roland Stull

2009-02-01T23:59:59.000Z

414

Further Evaluation of the National Meterological Center's Medium-Range Forecast Model Precpitation Forecasts  

Science Conference Proceedings (OSTI)

Precipitation forecasts made by the National Meteorological Center's medium-range forecast (MRF) model are evaluated for the period, 1 March 1987 to 31 March 1989. As shown by Roads and Maisel, the MRF model wet bias was substantially alleviated ...

John O. Roads; T. Norman Maisal; Jordan Alpert

1991-12-01T23:59:59.000Z

415

EIA - Appendix A - Reference Case Projection Tables  

Gasoline and Diesel Fuel Update (EIA)

Tables (2005-2035) Tables (2005-2035) International Energy Outlook 2010 Reference Case Projections Tables (2005-2035) Formats Data Table Titles (1 to 14 complete) Reference Case Projections Tables (1990-2030). Need help, contact the National Energy Information Center at 202-586-8800. Appendix A. Reference Case Projections Tables. Need help, contact the National Energy Information Center at 202-586-8800. Table A1 World Total Primary Energy Consumption by Region Table A1. World Total Primary Energy Consumption by Region. Need help, contact the National Energy Information Center at 202-586-8800. Table A2 World Total Energy Consumption by Region and Fuel Table A2. World Total Energy Consumption by Region and Fuel. Need help, contact the National Energy Information Center at 202-586-8800.

416

Forecasting Random Walks Under Drift Instability  

E-Print Network (OSTI)

Forecasting Random Walks Under Drift Instability? M. Hashem Pesaran University of Cambridge, CIMF, and USC Andreas Pick University of Cambridge, CIMF March 11, 2008 Abstract This paper considers forecast averaging when the same model is used... but estimation is carried out over different estimation windows. It develops theoretical results for random walks when their drift and/or volatility are subject to one or more structural breaks. It is shown that compared to using forecasts based on a single...

Pesaran, M Hashem; Pick, Andreas

417

MTS Table Top Load frame  

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

MTS Table Top Load frame MTS Table Top Load frame The Non-destructive Evaluation group operates an MTS Table Top Load frame for ultimate strength and life cycle testing of various ceramic, ceramic-matrix (FGI), carbon, carbon fiber, cermet (CMC) and metal alloy engineering samples. The load frame is a servo-hydraulic type designed to function in a closed loop configuration under computer control. The system can perform non-cyclic, tension, compression and flexure testing and cyclic fatigue tests. The system is comprised of two parts: * The Load Frame and * The Control System. Load Frame The Load Frame (figure 1) is a cross-head assembly which includes a single moving grip, a stationary grip and LVDT position sensor. It can generate up to 25 kN (5.5 kip) of force in the sample under test and can

418

Nature Bulletin Table of Contents  

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

Table of Contents: Table of Contents: Here is our table of contents for the Forset Preserve District of Cook Country Nature Bulletins. To search, go to the Natuere Bulletin's Search Engine and type in your topic. You can also use your browser's "FIND" command to search the 750+ article titles here for a specific subject! Fish Smother Under Ice Coyotes in Cook County Tough Times for the Muskrats Wild Geese and Ducks Fly North Squirrels Spring Frogs Snapping Turtles A Phenomenal Spring Good People Do Not Pick Wildflowers Fire is the Enemy of Field and Forest Crows Earthworms Bees Crayfish Floods Handaxes and Knives in the Forest Preserves Ant Sanctuary Conservation Mosquitoes More About Mosquitoes Fishing in the Forest Preserve Our River Grasshoppers Chiggers Ticks Poison Ivy Fireflies

419

COST AND QUALITY TABLES 95  

Gasoline and Diesel Fuel Update (EIA)

5 Tables 5 Tables July 1996 Energy Information Administration Office of Coal, Nuclear, Electric and Alternate Fuels U.S. Department of Energy Washington DC 20585 This report was prepared by the Energy Information Administration, the independent statistical and analytical agency within the Department of Energy. The information contained herein should not be construed as advocating or reflecting any policy position of the Department of Energy or any other organization. Contacts The annual publication Cost and Quality of Fuels for Electric Utility Plants (C&Q) will no longer be pub- lished by the EIA. The tables presented in this docu- ment are intended to replace that annual publication. Questions regarding the availability of these data should be directed to: Coal and Electric Data and Renewables Division

420

Solar future: 1978. [Market forecast to 1992  

SciTech Connect

The growth in sales of solar heating equipment is discussed. Some forecasts are made for the continued market growth of collectors, pool systems, and photovoltaics. (MOW)

Butt, S.H.

1978-03-01T23:59:59.000Z

Note: This page contains sample records for the topic "forecast 2001-2025 tables" 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

Geothermal wells: a forecast of drilling activity  

DOE Green Energy (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

422

Time Series Prediction Forecasting the Future and ...  

Science Conference Proceedings (OSTI)

Time Series Prediction Forecasting the Future and Understanding the Past Santa Fe Institute Proceedings on the Studies in the Sciences of ...

2012-10-01T23:59:59.000Z

423

Rolling 12 Month Forecast November-2008.xls  

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

Month Exceedence Level: 90% (Dry) First Preference CVP Generation Project Use November 2008 October 2009 November 2008 Twelve-Month Forecast of CVP Generation and Base Resource...

424

Promotional forecasting in the grocery retail business  

E-Print Network (OSTI)

Predicting customer demand in the highly competitive grocery retail business has become extremely difficult, especially for promotional items. The difficulty in promotional forecasting has resulted from numerous internal ...

Koottatep, Pakawkul

2006-01-01T23:59:59.000Z

425

Forecasting Prices andForecasting Prices and Congestion forCongestion for  

E-Print Network (OSTI)

Abstract--In deregulated electricity markets, short-term load forecasting is important for reliable power322 IEEE TRANSACTIONS ON POWER SYSTEMS, VOL. 25, NO. 1, FEBRUARY 2010 Short-Term Load Forecasting presents a similar day-based wavelet neural network method to forecast tomorrow's load. The idea

Tesfatsion, Leigh

426

Wind Power Forecasting andWind Power Forecasting and Electricity Market Operations  

E-Print Network (OSTI)

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

Kemner, Ken

427

KT Monograph Section B Table  

E-Print Network (OSTI)

traced#7;#7; Table B1:1 - Summary of a selection of previous surface surveys and collections in the Near East #12; Slopes of Tepe#7;Top of Tepe#7;Clustered#7;#7;Percentage Diagnostics#7;Small Stones - esp. NW & E#7;Late Roman/Byz. Sherds#7;#7;Trefoil Rims... #7;Terra Sigillata - esp. S & SW#7;Stone Artefacts#7;#7;Red Hittite Wares#7;Hellenistic Sherds#7;Architectural Fragments#7;#7;Total Sherds#7;#7;Large Stones#7;#7;Early Bronze Age#7;#7;#7;#7;Decorated Sherds#7;#7;#7;#7;Feature Sherds#7;#7;#7;#7; Table...

Thomas, D C

2004-12-09T23:59:59.000Z

428

Forecasting during the Lake-ICE/SNOWBANDS Field Experiments  

Science Conference Proceedings (OSTI)

Despite improvements in numerical weather prediction models, statistical models, forecast decision trees, and forecasting rules of thumb, human interpretation of meteorological information for a particular forecast situation can still yield a ...

Peter J. Sousounis; Greg E. Mann; George S. Young; Richard B. Wagenmaker; Bradley D. Hoggatt; William J. Badini

1999-12-01T23:59:59.000Z

429

Uses and Applications of Climate Forecasts for Power Utilities  

Science Conference Proceedings (OSTI)

The uses and potential applications of climate forecasts for electric and gas utilities were assessed 1) to discern needs for improving climate forecasts and guiding future research, and 2) to assist utilities in making wise use of forecasts. In-...

Stanley A. Changnon; Joyce M. Changnon; David Changnon

1995-05-01T23:59:59.000Z

430

Forecasting and Verifying in a Field Research Project: DOPLIGHT '87  

Science Conference Proceedings (OSTI)

Verification of forecasts during research field experiments is discussed and exemplified using the DOPLIGHT '87 experiment. We stress the importance of forecast verification if forecasting is to be a serious component of the research. A direct ...

Charles A. Doswell III; John A. Flueck

1989-06-01T23:59:59.000Z

431

A Probabilistic Forecast Approach for Daily Precipitation Totals  

Science Conference Proceedings (OSTI)

Commonly, postprocessing techniques are employed to calibrate a model forecast. Here, a probabilistic postprocessor is presented that provides calibrated probability and quantile forecasts of precipitation on the local scale. The forecasts are ...

Petra Friederichs; Andreas Hense

2008-08-01T23:59:59.000Z

432

Precipitation and Temperature Forecast Performance at the Weather Prediction Center  

Science Conference Proceedings (OSTI)

The role of the human forecaster in improving upon the accuracy of numerical weather prediction is explored using multi-year verification of human-generated short-range precipitation forecasts and medium-range maximum temperature forecasts from ...

David R. Novak; Christopher Bailey; Keith Brill; Patrick Burke; Wallace Hogsett; Robert Rausch; Michael Schichtel

433

Prediction of Consensus Tropical Cyclone Track Forecast Error  

Science Conference Proceedings (OSTI)

The extent to which the tropical cyclone (TC) track forecast error of a consensus model (CONU) routinely used by the forecasters at the National Hurricane Center can be predicted is determined. A number of predictors of consensus forecast error, ...

James S. Goerss

2007-05-01T23:59:59.000Z

434

An Experiment in Mesoscale Weather Forecasting in the Michigan Area  

Science Conference Proceedings (OSTI)

During an experiment in mesoscale weather forecasting in the Michigan area, consensus improved over NWS guidance in maximum/minimum temperature and probability of precipitation forecasts out to 24 hours. Forecasts were generally best in the ...

Dennis G. Baker

1986-12-01T23:59:59.000Z

435

The Economic Value Of Ensemble-Based Weather Forecasts  

Science Conference Proceedings (OSTI)

The potential economic benefit associated with the use of an ensemble of forecasts versus anequivalent or higher-resolution control forecast is discussed. Neither forecast systems are post-processed,except a simple calibration that is applied to ...

Yuejian Zhu; Zoltan Toth; Richard Wobus; David Richardson; Kenneth Mylne

2002-01-01T23:59:59.000Z

436

Diversity in Interpretations of Probability: Implications for Weather Forecasting  

Science Conference Proceedings (OSTI)

Over the last years, probability weather forecasts have become increasingly popular due in part to the development of ensemble forecast systems. Despite its widespread use in atmospheric sciences, probability forecasting remains a subtle and ...

Ramn de Ela; Ren Laprise

2005-05-01T23:59:59.000Z

437

An Alternative Tropical Cyclone Intensity Forecast Verification Technique  

Science Conference Proceedings (OSTI)

The National Hurricane Center (NHC) does not verify official or model forecasts if those forecasts call for a tropical cyclone to dissipate or if the real tropical cyclone dissipates. A new technique in which these forecasts are included in a ...

Sim D. Aberson

2008-12-01T23:59:59.000Z

438

On the Reliability and Calibration of Ensemble Forecasts  

Science Conference Proceedings (OSTI)

An important aspect of ensemble forecasting is that the resulting probabilities are reliable (i.e., the forecast probabilities match the observed frequencies). In the medium-range forecasting context, the literature tends to focus on the ...

Christine Johnson; Neill Bowler

2009-05-01T23:59:59.000Z

439

Scoring Probabilistic Forecasts: The Importance of Being Proper  

Science Conference Proceedings (OSTI)

Questions remain regarding how the skill of operational probabilistic forecasts is most usefully evaluated or compared, even though probability forecasts have been a long-standing aim in meteorological forecasting. This paper explains the ...

Jochen Brcker; Leonard A. Smith

2007-04-01T23:59:59.000Z

440

Experiments in Temperature and Precipitation Forecasting for Illinois  

Science Conference Proceedings (OSTI)

Six years of daily temperature and precipitation forecasting are studied for Urbana, Illinois. Minimum temperature forecast skills, measured against a climatological control, are 57%, 48%, 34% and 20% for the respective forecast ranges of one, ...

John R. Gyakum

1986-06-01T23:59:59.000Z

Note: This page contains sample records for the topic "forecast 2001-2025 tables" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


441

CALIFORNIA ENERGY DEMAND 2008-2018 STAFF REVISED FORECAST  

E-Print Network (OSTI)

the entire forecast period, primarily because both weather-adjusted peak and electricity consumption were forecast. Keywords Electricity demand, electricity consumption, demand forecast, weather normalization, annual peak demand, natural gas demand, self-generation, conservation, California Solar Initiative. #12

442

JOM Table of Contents: November 1995 - TMS  

Science Conference Proceedings (OSTI)

Forecasting Trends in Al Manufacturing and Marketing [pp. 26-27] Tammy M. Beazley. Economics: The World Aluminum Industry: Status and Prospects for 1996...

443

Price and Load Forecasting in Volatile Energy Markets  

Science Conference Proceedings (OSTI)

With daily news stories about wildly fluctuating electricity prices and soaring natural gas prices, forecasters' responsibilities are expanding, visibility is increasing, and pressure exists to produce more frequent forecasts and more kinds of forecasts. The proceedings of EPRI's 13th Forecasting Symposium, held November 13-15 in Nashville, Tennessee, address current forecasting issues and developments, as well as explain the role that forecasters have played in recent events in energy markets.

2001-12-05T23:59:59.000Z

444

CBECS 1992 - Building Characteristics, Detailed Tables  

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

Detailed Tables Detailed Tables Detailed Tables Percent of Buildings and Floorspace by Census Region, 1992 Percent of Buildings and Floorspace by Census Region, 1992 The following 70 tables present extensive cross-tabulations of commercial buildings characteristics. These data are from the Buildings Characteristics Survey portion of the 1992 CBECS. The "Quick-Reference Guide," indicates the major topics of each table. Directions for calculating an approximate relative standard error (RSE) for each estimate in the tables are presented in Figure A1, "Use of RSE Row and Column Factor." The Glossary contains the definitions of the terms used in the tables. See the preceding "At A Glance" section for highlights of the detailed tables. Table Organization

445

Energy Information Administration (EIA) - Supplement Tables  

Gasoline and Diesel Fuel Update (EIA)

6 6 1 to 116 Complete set of Supplemental Tables Complete set of Supplemental Tables. Need help, please contact the National Energy Information Center at 202-586-8800. Regional Energy Consumption and Prices by Sector Energy Consumption by Sector Table 1. New England Consumption & Prices by Sector & Census Division Tables. Need help, contact the National Energy Information Center at 202-586-8800. Table 2. Middle Atlantic Consumption & Prices by Sector & Census Division Tables. Need help, contact the National Energy Information Center at 202-586-8800. Table 3. East North Central Consumption & Prices by Sector & Census Division Tables. Need help, contact the National Energy Information Center at 202-586-8800. Table 4. West North Central

446

Tables of Chemicals and Etchants  

Science Conference Proceedings (OSTI)

Table 3   Designation of Etchants...p 255. (b) L.E. Samuels, J. Inst. Met., Vol 83, 1954??1955, p 359. (c) S.A. Manion and T.O. Mulhearn, Metallography, Vol 4, 1971, p 551...

447

Table Of Contents Section: Page  

E-Print Network (OSTI)

....................................................................15-6 15.E Rigging Hardware....................................................15-15 Tables: 15 the immediate work area and properly stored and maintained in a safe condition. 15.A.02 Hoist rope shall.04 When hoisting loads, a positive latching device shall be used to secure the load and rigging (e

US Army Corps of Engineers

448

Microsoft Word - table_23.doc  

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

6 Table 23. Average citygate price of natural gas in the United States, 2007- 2011 (dollars per thousand cubic feet) Alabama 8.78 9.84 7.61 6.46 5.80 Alaska 6.75 6.74 8.22 6.67...

449

Trip Table ?????? #ejdyrki-#ejebnjj  

U.S. Energy Information Administration (EIA)

http://trip-table.com - /5e8f0a852f9c1d454b6df13f1365e4ef/e684451614f1683226855e2b90e1249c.html ... Top page #ejdyrki:?XNHx/Baass #ejdzgey:?maO8DRy4pM #ejdzuzo ...

450

Trip Table ?????? #UFOYMAA-#UFPBHZB  

U.S. Energy Information Administration (EIA)

http://trip-table.com - /7faa9d44500591fbfecedcda9a9d9cf9/72b75372a04495579b32da4524a88ead.html ... Top page #UFOYMAA:?760XFpqqAg #UFOZAUQ:?GiyoPAoyp. #UFOZPPG ...

451

Trip Table ?????? #gopmusbo-#gopmxoap  

U.S. Energy Information Administration (EIA)

http://trip-table.com - /de823d5fcb90885762f4a837a7fa1e4c/8ef5e7522a1014862421869a133710f6.html ... Top page #gopmusbo:?MyJIL5jza2 #gopmvgwe:?AGL/5xDjfA #gopmvvqu ...

452

Trip Table ?????? #PNQTORG-#PNQWKQH  

U.S. Energy Information Administration (EIA)

http://trip-table.com - /57be3958616c440476cf50b429b2476e/a2758b2d3ccf7339fa919b48ba7c1570.html ... Top page #PNQTORG:?oGcbIPIQ/2 #PNQUDLW:?QPKgjR/j7k #PNQUSGM ...

453

Possibility of Skill Forecast Based on the Finite-Time Dominant Linear Solutions for a Primitive Equation Regional Forecast Model  

Science Conference Proceedings (OSTI)

The possibility of using forecast errors originating from the finite-time dominant linear modes for the prediction of forecast skill for a primitive equation regional forecast model is studied. This is similar to the method for skill prediction ...

Tomislava Vuki?evi?

1993-06-01T23:59:59.000Z

454

EIA - Supplement Tables to the Annual Energy Outlook 2009  

Gasoline and Diesel Fuel Update (EIA)

10 10 Regional Energy Consumption and Prices by Sector Energy Consumption by Sector and Source Table 1. New England Excel Gif Table 2. Middle Atlantic Excel Gif Table 3. East North Central Excel Gif Table 4. West North Central Excel Gif Table 5. South Atlantic Excel Gif Table 6. East South Central Excel Gif Table 7. West South Central Excel Gif Table 8. Mountain Excel Gif Table 9. Pacific Excel Gif Table 10. Total United States Excel Gif Energy Prices by Sector and Source Table 11. New England Excel Gif Table 12. Middle Atlantic Excel Gif Table 13. East North Central Excel Gif Table 14. West North Central Excel Gif Table 15. South Atlantic Excel Gif Table 16. East South Central Excel Gif Table 17. West South Central Excel Gif Table 18. Mountain Excel Gif Table 19. Pacific

455

EIA - Supplement Tables to the Annual Energy Outlook 2009  

Gasoline and Diesel Fuel Update (EIA)

09 09 Regional Energy Consumption and Prices by Sector Energy Consumption by Sector and Source Table 1. New England Excel Gif Table 2. Middle Atlantic Excel Gif Table 3. East North Central Excel Gif Table 4. West North Central Excel Gif Table 5. South Atlantic Excel Gif Table 6. East South Central Excel Gif Table 7. West South Central Excel Gif Table 8. Mountain Excel Gif Table 9. Pacific Excel Gif Table 10. Total United States Excel Gif Energy Prices by Sector and Source Table 11. New England Excel Gif Table 12. Middle Atlantic Excel Gif Table 13. East North Central Excel Gif Table 14. West North Central Excel Gif Table 15. South Atlantic Excel Gif Table 16. East South Central Excel Gif Table 17. West South Central Excel Gif Table 18. Mountain Excel Gif Table 19. Pacific

456

SunShot Initiative: Forecasting and Influencing Technological...  

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

Forecasting and Influencing Technological Progress in Solar Energy to someone by E-mail Share SunShot Initiative: Forecasting and Influencing Technological Progress in Solar Energy...

457

New Climate Research Centers Forecast Changes and Challenges...  

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

Climate Research Centers Forecast Changes and Challenges New Climate Research Centers Forecast Changes and Challenges October 25, 2013 - 12:24pm Addthis This artist's rendering...

458

Exploiting Domain Knowledge to Forecast Heating Oil Consumption  

Science Conference Proceedings (OSTI)

The GasDay laboratory at Marquette University provides forecasts of energy consumption. One such service is the Heating Oil Forecaster

George F. Corliss; Tsuginosuke Sakauchi; Steven R. Vitullo; Ronald H. Brown

2011-01-01T23:59:59.000Z

459

Building Energy Software Tools Directory: Energy Usage Forecasts  

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

Alphabetically Tools by Platform PC Mac UNIX Internet Tools by Country Related Links Energy Usage Forecasts Energy Usage Forecasts Quick and easy web-based tool that provides...

460

Blasting Vibration Forecast Base on Neural Network  

Science Conference Proceedings (OSTI)

The influence of blasting vibration to surroundings around the blasting area can not be ignored, in order to guarantee the safety of surroundings around blasting area, blasting vibration forecasting model based on neural network is established by improved ... Keywords: Blasting vibration, Neural network, Forecast

Haiwang Ye; Fang Liu; Jian Chang; Lin Feng; Yang Wang; Peng Yao; Kai Wu

2010-10-01T23:59:59.000Z

Note: This page contains sample records for the topic "forecast 2001-2025 tables" 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

Evaluating the Skill of Categorical Forecasts  

Science Conference Proceedings (OSTI)

A generalized skill score is presented for evaluating forecasts in any number of categories. Each forecast in a sample is given a mark; the skill score for the sample is just the average mark. Each mark has an expected value of zero for an ...

Neil D. Gordon

1982-07-01T23:59:59.000Z

462

Making Forecasts and Weather Normalization Work Together  

Science Conference Proceedings (OSTI)

Electric utility industry restructuring has changed the consistency between weather-normalized sales and energy forecasts. This Technology Review discusses the feasibility of integrating weather normalization and forecasting processes, and addresses whether the conflicting goal of obtaining greater consistency and accuracy with fewer staff resources can be met with more integrated approaches.

2000-09-11T23:59:59.000Z

463

Forecasting demand of commodities after natural disasters  

Science Conference Proceedings (OSTI)

Demand forecasting after natural disasters is especially important in emergency management. However, since the time series of commodities demand after natural disasters usually has a great deal of nonlinearity and irregularity, it has poor prediction ... Keywords: ARIMA, Demand forecasting, EMD, Emergency management, Natural disaster

Xiaoyan Xu; Yuqing Qi; Zhongsheng Hua

2010-06-01T23:59:59.000Z

464

The NCEP Climate Forecast System Version 2  

Science Conference Proceedings (OSTI)

The second version of the NCEP Climate Forecast System (CFSv2) was made operational at NCEP in March 2011. This version has upgrades to nearly all aspects of the data assimilation and forecast model components of the system. A coupled Reanalysis ...

Suranjana Saha; Shrinivas Moorthi; Xingren Wu; Jiande Wang; Sudhir Nadiga; Patrick Tripp; David Behringer; Yu-Tai Hou; Hui-ya Chuang; Mark Iredell; Michael Ek; Jesse Meng; Rongqian Yang; Malaquas Pea Mendez; Huug van den Dool; Qin Zhang; Wanqiu Wang; Mingyue Chen; Emily Becker

465

Efficient forecasting for hierarchical time series  

Science Conference Proceedings (OSTI)

Forecasting is used as the basis for business planning in many application areas such as energy, sales and traffic management. Time series data used in these areas is often hierarchically organized and thus, aggregated along the hierarchy levels based ... Keywords: forecasting, hierarchies, optimization, time series

Lars Dannecker; Robert Lorenz; Philipp Rsch; Wolfgang Lehner; Gregor Hackenbroich

2013-10-01T23:59:59.000Z

466

Time series forecasting with Qubit Neural Networks  

Science Conference Proceedings (OSTI)

This paper proposes a quantum learning scheme approach for time series forecasting, through the application of the new non-standard Qubit Neural Network (QNN) model. The QNN description was adapted in this work in order to resemble classical Artificial ... Keywords: artificial intelligence, artificial neural networks, quantum computing, qubit neural networks, time series forecasting

Carlos R. B. Azevedo; Tiago A. E. Ferreira

2007-08-01T23:59:59.000Z

467

Forecast of geothermal-drilling activity  

DOE Green Energy (OSTI)

The number of geothermal wells that will be drilled to support electric power production in the United States through 2000 A.D. are forecasted. Results of the forecast are presented by 5-year periods for the five most significant geothermal resources.

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

1982-07-01T23:59:59.000Z

468

Preemptive Forecasts Using an Ensemble Kalman Filter  

Science Conference Proceedings (OSTI)

An ensemble Kalman filter (EnKF) estimates the error statistics of a model forecast using an ensemble of model forecasts. One use of an EnKF is data assimilation, resulting in the creation of an increment to the first-guess field at the ...

Brian J. Etherton

2007-10-01T23:59:59.000Z

469

A spatially distributed flash flood forecasting model  

Science Conference Proceedings (OSTI)

This paper presents a distributed model that is in operational use for forecasting flash floods in northern Austria. The main challenge in developing the model was parameter identification which was addressed by a modelling strategy that involved a model ... Keywords: Distributed modelling, Dominant processes concept, Floods, Forecasting, Kalman Filter, Model accuracy, Parameter identification, Stream routing

Gnter Blschl; Christian Reszler; Jrgen Komma

2008-04-01T23:59:59.000Z

470

Incentives for Retailer Forecasting: Rebates vs. Returns  

Science Conference Proceedings (OSTI)

This paper studies a manufacturer that sells to a newsvendor retailer who can improve the quality of her demand information by exerting costly forecasting effort. In such a setting, contracts play two roles: providing incentives to influence the retailer's ... Keywords: endogenous adverse selection, forecasting, rebates, returns, supply chain contracting

Terry A. Taylor; Wenqiang Xiao

2009-10-01T23:59:59.000Z

471

Evaluating the Cloud Cover Forecast of NCEP Global Forecast System with Satellite Observation  

E-Print Network (OSTI)

To assess the quality of daily cloud cover forecast generated by the operational global numeric model, the NCEP Global Forecast System (GFS), we compose a large sample with outputs from GFS model and satellite observations from the International Satellite Cloud Climatology Project (ISCCP) in the period of July 2004 to June 2008, to conduct a quantitative and systematic assessment of the performance of a cloud model that covers a relatively long range of time, basic cloud types, and in a global view. The evaluation has revealed the goodness of the model forecast, which further illustrates our completeness on understanding cloud generation mechanism. To quantity the result, we found a remarkably high correlation between the model forecasts and the satellite observations over the entire globe, with mean forecast error less than 15% in most areas. Considering a forecast within 30% difference to the observation to be a "good" one, we find that the probability for the GFS model to make good forecasts varies between...

Ye, Quanzhi

2011-01-01T23:59:59.000Z

472

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

Science Conference Proceedings (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

473

EIA - Forecasts and Analysis of Energy Data  

Gasoline and Diesel Fuel Update (EIA)

Oil Production Capacity and Oil Production In Three Cases Data Tables (1990-2025) Formats Projections of Oil Production Capacity and Oil Prodction In Three Cases Data Tables (1 to...

474

Automatic Table Ground Truth Generation and a Background-Analysis-Based Table Structure Extraction  

E-Print Network (OSTI)

In this paper, we first describe an automatic table ground truth generation system which can efficiently generate a large amount of accurate table ground truth suitable for the development of table detection algorithms. Then a novel background-analysis-based, coarse-to-fine table identification algorithm and an X-Y cut table decomposition algorithm are described. We discuss an experimental protocol to evaluate the table detection algorithms. For a total of having vin table entities and a total cell entities, our table detection algorithm takes line, word segmentation results as input and obtains around cell correct detection rates.

Yalin Wang; Ihsin T. Phillips; Robert Haralick

2001-01-01T23:59:59.000Z

475

Random Table and Its Ground Truth Automatic Generation: A Tool for Table  

E-Print Network (OSTI)

We developed a software tool to assist table understanding research. It can analyze any given table ground truth and generate documents that include similar table elements while have more variety on both table and non-table parts. Based on our novel content matching ground truthing idea, the table ground truth data for the generated table elements become available with little manual work. The validity of the proposed strategy was confirmed by our table detection algorithm development. We made this software package publicly available.

Understanding Research Yalin; Yalin Wang

2001-01-01T23:59:59.000Z

476

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

Science Conference Proceedings (OSTI)

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

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

1988-06-01T23:59:59.000Z

477

forecasts  

U.S. Energy Information Administration (EIA)

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

478

Annual Energy Outlook 2002 with Projections to 2020 - Table of...  

Gasoline and Diesel Fuel Update (EIA)

Issues in Focus Market Trends Energy Demand Electricity Oil and Natural Gas Coal Emissions Forecast Comparisons Major Assumptions for the Forecasts Summary of the AEO2002...

479

Explanation of Tables Handed out at September 2.PDF  

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

and Towaoc generating plants of the Dolores Project. It was forecasted by using Forecast Pro software based on historical generation from Reclamation PO&M 59 forms. Dolores...

480

Modeling and Analysis Papers - Annual Energy Outlook Forecast Evaluation  

Gasoline and Diesel Fuel Update (EIA)

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

Note: This page contains sample records for the topic "forecast 2001-2025 tables" 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

Table 1. Comparison of Absolute Percent Errors for Present and Current AEO Forecast Evaluations  

Gasoline and Diesel Fuel Update (EIA)

AEO82 to AEO82 to AEO99 AEO82 to AEO2000 AEO82 to AEO2001 AEO82 to AEO2002 AEO82 to AEO2003 AEO82 to AEO2004 Total Energy Consumption 1.9 2.0 2.1 2.1 2.1 2.1 Total Petroleum Consumption 2.9 3.0 3.1 3.1 3.0 2.9 Total Natural Gas Consumption 7.3 7.1 7.1 6.7 6.4 6.5 Total Coal Consumption 3.1 3.3 3.5 3.6 3.7 3.8

482

Solar Cell Efficiency Tables (Version 39)  

Science Conference Proceedings (OSTI)

Consolidated tables showing an extensive listing of the highest independently confirmed efficiencies for solar cells and modules are presented. Guidelines for inclusion of results into these tables are outlined, and new entries since July 2011 are reviewed.

Green, M. A.; Emery, K.; Hishikawa, Y.; Warta, W.; Dunlop, E. D.

2012-01-01T23:59:59.000Z

483

November/December 2012 Table of Contents  

Science Conference Proceedings (OSTI)

inform November/December table of contents. November/December 2012 Table of Contents inform Magazine algae algal AOCS biomass business chemistry cottonseed date detergents fats filing first history inform inform Magazine international inventor la

484

Table Name query? | OpenEI Community  

Open Energy Info (EERE)

Table Name query? Home > Groups > Databus Is there an API feature which returns the names of tables? Submitted by Hopcroft on 28 October, 2013 - 15:37 1 answer Points: 0 if you are...

485

A System for Tabled Constraint Logic Programming  

Science Conference Proceedings (OSTI)

As extensions to traditional logic programming, both tabling and Constraint Logic Programming (CLP) have proven powerful tools in many areas. They make logic programming more efficient and more declarative. However, combining the techniques of tabling ...

Baoqiu Cui; David Scott Warren

2000-07-01T23:59:59.000Z

486

Analytical Division Seed Oil Translation Table  

Science Conference Proceedings (OSTI)

seed oil translation table nomencalture Analytical Division Seed Oil Translation Table Analytical Chemistry Analytical Chemistry aocs articles atomic)FluorometryDifferential scanning calorimetry chemistry Chromatography (liquid detergents esters fats fo

487

Microsoft Word - table_11.doc  

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

25 25 Table 11 Created on: 12/12/2013 2:10:53 PM Table 11. Underground natural gas storage - storage fields other than salt caverns, 2008-2013 (volumes in billion cubic feet) Natural Gas in Underground Storage at End of Period Change in Working Gas from Same Period Previous Year Storage Activity Year and Month Base Gas Working Gas Total Volume Percent Injections Withdrawals Net Withdrawals a 2008 Total b -- -- -- -- -- 2,900 2,976 76 2009 Total b -- -- -- -- -- 2,856 2,563 -293 2010 Total b -- -- -- -- -- 2,781 2,822 41 2011 January 4,166 2,131 6,298 -63 -2.9 27 780 753 February 4,166 1,597 5,763 -10 -0.6 51 586 535 March 4,165 1,426 5,591 -114 -7.4 117 288 172

488

Microsoft Word - table_08.doc  

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

1 1 Table 8 Created on: 12/12/2013 2:07:39 PM Table 8. Underground natural gas storage - all operators, 2008-2013 (million cubic feet) Natural Gas in Underground Storage at End of Period Change in Working Gas from Same Period Previous Year Storage Activity Year and Month Base Gas Working Gas Total a Volume Percent Injections Withdrawals Net Withdrawals b 2008 Total c -- -- -- -- -- 3,340 3,374 34 2009 Total c -- -- -- -- -- 3,315 2,966 -349 2010 Total c -- -- -- -- -- 3,291 3,274 -17 2011 January 4,303 2,306 6,609 2 0.1 50 849 799 February 4,302 1,722 6,024 39 2.3 82 666 584 March 4,302 1,577 5,879 -75 -4.6 168 314 146 April 4,304 1,788 6,092 -223 -11.1 312 100

489

Biomass for Electricity Generation - Table 9  

U.S. Energy Information Administration (EIA)

Modeling and Analysis Papers> Biomass for Electricity Generation : Biomass for Electricity Generation. Table 9. Biomass-Fired Electricity Generation ...

490

Appendix B Metric and Thermal Conversion Tables  

U.S. Energy Information Administration (EIA)

2011 U.S. Energy Information Administration | Natural Gas Annual 193 Appendix B Metric and Thermal Conversion Tables

491

Biomass for Electricity Generation - Table 3  

U.S. Energy Information Administration (EIA)

Modeling and Analysis Papers> Biomass for Electricity Generation : Biomass for Electricity Generation. Table 3. Biomass Resources by Price: Quantities ...

492

November/December 2011 Table of Contents  

Science Conference Proceedings (OSTI)

November/December 2011 Table of Contents Inform Magazine Inform Archives News 602 Letter from the president 603 Letter from

493

Trip Table ?????? #ykccmpk-#ykcfiol  

U.S. Energy Information Administration (EIA)

http://trip-table.com - /ce18e28f19b8a620d092b2a6c9fc0e08/311af50ce0338abff3271747a78d2a6c.html ... Top page #ykccmpk:?Bc4XbewxcY #ykcdbka:?gHgq5mD6d2 #ykcdqeq ...

494

Table  

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

Muons Muons in Methanol (CH 3 OH) Z/A ρ [g/cm 3 ] I [eV] a k = m s x 0 x 1 C δ 0 0.56176 0.791 67.6 0.08970 3.5477 0.2529 2.7639 3.5160 0.00 T p Ionization Brems Pair prod Photonucl Total CSDA range [MeV/c] [MeV cm 2 /g] [g/cm 2 ] 10.0 MeV 4.704 × 10 1 8.169 8.169 6.759 × 10 -1 14.0 MeV 5.616 × 10 1 6.369 6.369 1.236 × 10 0 20.0 MeV 6.802 × 10 1 4.972 4.972 2.315 × 10 0 30.0 MeV 8.509 × 10 1 3.855 3.855 4.631 × 10 0 40.0 MeV 1.003 × 10 2 3.291 3.291 7.457 × 10 0 80.0 MeV 1.527 × 10 2 2.469 2.469 2.194 × 10 1 100. MeV 1.764 × 10 2 2.321 2.322 3.032 × 10 1 140. MeV 2.218 × 10 2 2.166 2.166 4.823 × 10 1 200. MeV 2.868 × 10 2 2.074 2.074 7.664 × 10 1 300. MeV 3.917 × 10 2 2.039 0.000 2.039 1.254 × 10 2 318. MeV 4.105 × 10 2 2.038 0.000 2.039 Minimum ionization 400. MeV 4.945 × 10 2 2.045 0.000 2.045 1.744 × 10 2 800. MeV 8.995 × 10 2 2.121 0.000 0.000 2.122 3.665 × 10 2 1.00 GeV 1.101 × 10 3 2.156 0.000 0.000 2.157 4.600 × 10 2 1.40 GeV 1.502 ×

495

Table  

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

Muons Muons in Carbon (amorphous) Z A [g/mol] ρ [g/cm 3 ] I [eV] a k = m s x 0 x 1 C δ 0 6 (C) 12.0107 (8) 2.000 78.0 0.20240 3.0036 -0.0351 2.4860 2.9925 0.10 T p Ionization Brems Pair prod Photonucl Total CSDA range [MeV/c] [MeV cm 2 /g] [g/cm 2 ] 10.0 MeV 4.704 × 10 1 7.117 7.117 7.771 × 10 -1 14.0 MeV 5.616 × 10 1 5.550 5.551 1.420 × 10 0 20.0 MeV 6.802 × 10 1 4.332 4.332 2.658 × 10 0 30.0 MeV 8.509 × 10 1 3.357 3.357 5.317 × 10 0 40.0 MeV 1.003 × 10 2 2.862 2.862 8.564 × 10 0 80.0 MeV 1.527 × 10 2 2.129 2.129 2.529 × 10 1 100. MeV 1.764 × 10 2 1.994 1.994 3.502 × 10 1 140. MeV 2.218 × 10 2 1.857 1.857 5.591 × 10 1 200. MeV 2.868 × 10 2 1.778 1.779 8.905 × 10 1 300. MeV 3.917 × 10 2 1.749 0.000 1.749 1.459 × 10 2 313. MeV 4.055 × 10 2 1.749 0.000 1.749 Minimum ionization 400. MeV 4.945 × 10 2 1.755 0.000 1.756 2.030 × 10 2 800. MeV 8.995 × 10 2 1.824 0.000 0.000 1.825 4.266 × 10 2 1.00 GeV 1.101 × 10 3 1.855 0.000 0.000 1.856 5.353 × 10

496

Table  

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

Muons Muons in Mix D wax Z/A ρ [g/cm 3 ] I [eV] a k = m s x 0 x 1 C δ 0 0.56479 0.990 60.9 0.07490 3.6823 0.1371 2.7145 3.0780 0.00 T p Ionization Brems Pair prod Photonucl Total CSDA range [MeV/c] [MeV cm 2 /g] [g/cm 2 ] 10.0 MeV 4.704 × 10 1 8.322 8.322 6.628 × 10 -1 14.0 MeV 5.616 × 10 1 6.485 6.486 1.213 × 10 0 20.0 MeV 6.802 × 10 1 5.060 5.060 2.273 × 10 0 30.0 MeV 8.509 × 10 1 3.922 3.922 4.549 × 10 0 40.0 MeV 1.003 × 10 2 3.347 3.347 7.327 × 10 0 80.0 MeV 1.527 × 10 2 2.505 2.506 2.158 × 10 1 100. MeV 1.764 × 10 2 2.346 2.346 2.985 × 10 1 140. MeV 2.218 × 10 2 2.182 2.182 4.761 × 10 1 200. MeV 2.868 × 10 2 2.087 2.087 7.584 × 10 1 300. MeV 3.917 × 10 2 2.049 0.000 2.049 1.243 × 10 2 328. MeV 4.201 × 10 2 2.048 0.000 2.048 Minimum ionization 400. MeV 4.945 × 10 2 2.053 0.000 2.053 1.731 × 10 2 800. MeV 8.995 × 10 2 2.125 0.000 0.000 2.125 3.647 × 10 2 1.00 GeV 1.101 × 10 3 2.158 0.000 0.000 2.159 4.581 × 10 2 1.40 GeV 1.502 × 10 3 2.213

497

Table  

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

Muons Muons in Sodium nitrate NaNO 3 Z/A ρ [g/cm 3 ] I [eV] a k = m s x 0 x 1 C δ 0 0.49415 2.261 114.6 0.09391 3.5097 0.1534 2.8221 3.6502 0.00 T p Ionization Brems Pair prod Photonucl Total CSDA range [MeV/c] [MeV cm 2 /g] [g/cm 2 ] 10.0 MeV 4.704 × 10 1 6.702 6.702 8.281 × 10 -1 14.0 MeV 5.616 × 10 1 5.239 5.239 1.510 × 10 0 20.0 MeV 6.802 × 10 1 4.100 4.100 2.820 × 10 0 30.0 MeV 8.509 × 10 1 3.187 3.187 5.624 × 10 0 40.0 MeV 1.003 × 10 2 2.726 2.726 9.039 × 10 0 80.0 MeV 1.527 × 10 2 2.053 2.053 2.648 × 10 1 100. MeV 1.764 × 10 2 1.927 1.927 3.656 × 10 1 140. MeV 2.218 × 10 2 1.800 1.800 5.814 × 10 1 200. MeV 2.868 × 10 2 1.729 1.729 9.228 × 10 1 298. MeV 3.894 × 10 2 1.705 0.000 1.705 Minimum ionization 300. MeV 3.917 × 10 2 1.705 0.000 1.705 1.507 × 10 2 400. MeV 4.945 × 10 2 1.714 0.000 1.714 2.092 × 10 2 800. MeV 8.995 × 10 2 1.787 0.000 0.000 1.787 4.377 × 10 2 1.00 GeV 1.101 × 10 3 1.819 0.000 0.000 1.819 5.486 × 10 2 1.40 GeV 1.502

498

Table  

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

Muons Muons in Freon-12B2 (CF 2 Br 2 ) Z/A ρ [g/cm 3 ] I [eV] a k = m s x 0 x 1 C δ 0 0.44901 1.800 284.9 0.05144 3.5565 0.3406 3.7956 5.7976 0.00 T p Ionization Brems Pair prod Photonucl Total CSDA range [MeV/c] [MeV cm 2 /g] [g/cm 2 ] 10.0 MeV 4.704 × 10 1 5.330 5.330 1.053 × 10 0 14.0 MeV 5.616 × 10 1 4.190 4.190 1.908 × 10 0 20.0 MeV 6.802 × 10 1 3.297 3.297 3.540 × 10 0 30.0 MeV 8.509 × 10 1 2.577 2.577 7.017 × 10 0 40.0 MeV 1.003 × 10 2 2.212 2.212 1.123 × 10 1 80.0 MeV 1.527 × 10 2 1.680 1.680 3.263 × 10 1 100. MeV 1.764 × 10 2 1.586 1.586 4.491 × 10 1 140. MeV 2.218 × 10 2 1.496 1.496 7.099 × 10 1 200. MeV 2.868 × 10 2 1.452 1.452 1.118 × 10 2 252. MeV 3.421 × 10 2 1.445 0.000 1.445 Minimum ionization 300. MeV 3.917 × 10 2 1.448 0.000 1.449 1.809 × 10 2 400. MeV 4.945 × 10 2 1.467 0.000 0.000 1.468 2.496 × 10 2 800. MeV 8.995 × 10 2 1.556 0.000 0.000 1.557 5.139 × 10 2 1.00 GeV 1.101 × 10 3 1.592 0.001 0.000 1.593 6.409 × 10 2 1.40 GeV

499

Table  

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

Muons Muons in Eye lens (ICRP) Z/A ρ [g/cm 3 ] I [eV] a k = m s x 0 x 1 C δ 0 0.54977 1.100 73.3 0.09690 3.4550 0.2070 2.7446 3.3720 0.00 T p Ionization Brems Pair prod Photonucl Total CSDA range [MeV/c] [MeV cm 2 /g] [g/cm 2 ] 10.0 MeV 4.704 × 10 1 7.912 7.912 6.984 × 10 -1 14.0 MeV 5.616 × 10 1 6.171 6.171 1.277 × 10 0 20.0 MeV 6.802 × 10 1 4.819 4.819 2.390 × 10 0 30.0 MeV 8.509 × 10 1 3.738 3.738 4.779 × 10 0 40.0 MeV 1.003 × 10 2 3.192 3.192 7.693 × 10 0 80.0 MeV 1.527 × 10 2 2.396 2.396 2.262 × 10 1 100. MeV 1.764 × 10 2 2.251 2.251 3.125 × 10 1 140. MeV 2.218 × 10 2 2.095 2.096 4.976 × 10 1 200. MeV 2.868 × 10 2 2.006 2.006 7.914 × 10 1 300. MeV 3.917 × 10 2 1.971 0.000 1.971 1.296 × 10 2 318. MeV 4.105 × 10 2 1.971 0.000 1.971 Minimum ionization 400. MeV 4.945 × 10 2 1.977 0.000 1.977 1.803 × 10 2 800. MeV 8.995 × 10 2 2.051 0.000 0.000 2.051 3.790 × 10 2 1.00 GeV 1.101 × 10 3 2.085 0.000 0.000 2.085 4.756 × 10 2 1.40 GeV 1.502 × 10

500

Table  

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

Muons Muons in Compact bone (ICRU) Z/A ρ [g/cm 3 ] I [eV] a k = m s x 0 x 1 C δ 0 0.53010 1.850 91.9 0.05822 3.6419 0.0944 3.0201 3.3390 0.00 T p Ionization Brems Pair prod Photonucl Total CSDA range [MeV/c] [MeV cm 2 /g] [g/cm 2 ] 10.0 MeV 4.704 × 10 1 7.406 7.406 7.477 × 10 -1 14.0 MeV 5.616 × 10 1 5.783 5.783 1.365 × 10 0 20.0 MeV 6.802 × 10 1 4.521 4.521 2.552 × 10 0 30.0 MeV 8.509 × 10 1 3.511 3.511 5.097 × 10 0 40.0 MeV 1.003 × 10 2 3.000 3.000 8.199 × 10 0 80.0 MeV 1.527 × 10 2 2.247 2.247 2.408 × 10 1 100. MeV 1.764 × 10 2 2.106 2.106 3.330 × 10 1 140. MeV 2.218 × 10 2 1.962 1.962 5.307 × 10 1 200. MeV 2.868 × 10 2 1.880 1.880 8.444 × 10 1 300. MeV 3.917 × 10 2 1.849 0.000 1.850 1.382 × 10 2 314. MeV 4.065 × 10 2 1.849 0.000 1.849 Minimum ionization 400. MeV 4.945 × 10 2 1.856 0.000 1.857 1.922 × 10 2 800. MeV 8.995 × 10 2 1.930 0.000 0.000 1.930 4.036 × 10 2 1.00 GeV 1.101 × 10 3 1.963 0.000 0.000 1.964 5.063 × 10 2 1.40 GeV 1.502