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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.


1

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

2

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":""}]}

3

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,

4

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.

5

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

6

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

7

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

8

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

9

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.

10

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.

11

Wind Energy Forecasting Technology Update: 2004  

Science Conference Proceedings (OSTI)

This report describes the status of wind energy forecasting technology for predicting wind speed and energy generation of wind energy facilities short-term (minutes to hours), intermediate-term (hours to days), and long-term (months to years) average wind speed and energy generation. The information should be useful to companies that are evaluating or planning to incorporate wind energy forecasting into their operations.

2005-04-26T23:59:59.000Z

12

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"

13

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

14

Annual Energy Outlook Forecast Evaluation 2004  

Gasoline and Diesel Fuel Update (EIA)

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

15

Annual Energy Outlook Forecast Evaluation 2005  

Gasoline and Diesel Fuel Update (EIA)

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

16

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

17

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

18

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

19

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

20

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

Note: This page contains sample records for the topic "yearly energy forecasts" 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

Building Energy Software Tools Directory: Degree Day Forecasts  

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

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

22

EIA - Forecasts and Analysis of Energy Data  

Gasoline and Diesel Fuel Update (EIA)

Highlights Highlights World energy consumption is projected to increase by 57 percent from 2002 to 2025. Much of the growth in worldwide energy use in the IEO2005 reference case forecast is expected in the countries with emerging economies. Figure 1. World Marketed Energy Consumptiion by Region, 1970-2025. Need help, contact the National Energy Information Center at 202-586-8800. Figure Data In the International Energy Outlook 2005 (IEO2005) reference case, world marketed energy consumption is projected to increase on average by 2.0 percent per year over the 23-year forecast horizon from 2002 to 2025—slightly lower than the 2.2-percent average annual growth rate from 1970 to 2002. Worldwide, total energy use is projected to grow from 412 quadrillion British thermal units (Btu) in 2002 to 553 quadrillion Btu in

23

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

24

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...

25

Forecast of contracting and subcontracting opportunities. Fiscal year 1996  

SciTech Connect

This forecast of prime and subcontracting opportunities with the U.S. Department of Energy and its MAO contractors and environmental restoration and waste management contractors, is the Department`s best estimate of small, small disadvantaged and women-owned small business procurement opportunities for fiscal year 1996. The information contained in the forecast is published in accordance with Public Law 100-656. It is not an invitation for bids, a request for proposals, or a commitment by DOE to purchase products or services. Each procurement opportunity is based on the best information available at the time of publication and may be revised or cancelled.

NONE

1996-02-01T23:59:59.000Z

26

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

27

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...

28

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

29

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

30

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

31

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

32

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

33

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

34

Forecast of Contracting and Subcontracting Opportunities, Fiscal year 1995  

Science Conference Proceedings (OSTI)

Welcome to the US Department of Energy`s Forecast of Contracting and Subcontracting Opportunities. This forecast, which is published pursuant to Public Low 100--656, ``Business Opportunity Development Reform Act of 1988,`` is intended to inform small business concerns, including those owned and controlled by socially and economically disadvantaged individuals, and women-owned small business concerns, of the anticipated fiscal year 1995 contracting and subcontracting opportunities with the Department of Energy and its management and operating contractors and environmental restoration and waste management contractors. This document will provide the small business contractor with advance notice of the Department`s procurement plans as they pertain to small, small disadvantaged and women-owned small business concerns.Opportunities contained in the forecast support the mission of the Department, to serve as advocate for the notion`s energy production, regulation, demonstration, conservation, reserve maintenance, nuclear weapons and defense research, development and testing, when it is a national priority. The Department`s responsibilities include long-term, high-risk research and development of energy technology, the marketing of Federal power, and maintenance of a central energy data collection and analysis program. A key mission for the Department is to identify and reduce risks, as well as manage waste at more than 100 sites in 34 states and territories, where nuclear energy or weapons research and production resulted in radioactive, hazardous, and mixed waste contamination. Each fiscal year, the Department establishes contracting goals to increase contracts to small business concerns and meet our mission objectives.

Not Available

1995-02-01T23:59:59.000Z

35

CALIFORNIA ENERGY DEMAND 2006-2016 STAFF ENERGY DEMAND FORECAST  

E-Print Network (OSTI)

CALIFORNIA ENERGY COMMISSION CALIFORNIA ENERGY DEMAND 2006-2016 STAFF ENERGY DEMAND FORECAST Demand Forecast report is the product of the efforts of many current and former California Energy Commission staff. Staff contributors to the current forecast are: Project Management and Technical Direction

36

Building Energy Software Tools Directory: Energy Usage Forecasts  

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

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

37

energy data + forecasting | OpenEI Community  

Open Energy Info (EERE)

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

38

EIA - Forecasts and Analysis of Energy Data  

Gasoline and Diesel Fuel Update (EIA)

Electricity Electricity Electricity consumption nearly doubles in the IEO2005 projection period. The emerging economies of Asia are expected to lead the increase in world electricity use. Figure 58. World Net Electricity Consumption, 2002-2025 (Billion Kilowatthours). Need help, contact the National Energy Information Center at 202-586-8800. Figure Data Figure 59. World Net Electricity Consumption by Region, 2002-2025 (Billion Kilowatthours). Need help, contact the National Energy Information Center at 202-586-8800. Figure Data The International Energy Outlook 2005 (IEO2005) reference case projects that world net electricity consumption will nearly double over the next two decades.10 Over the forecast period, world electricity demand is projected to grow at an average rate of 2.6 percent per year, from 14,275 billion

39

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

40

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

Note: This page contains sample records for the topic "yearly energy forecasts" 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

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

42

Perils of Long-Range Energy Forecasting: Reflections on Looking Far Ahead  

E-Print Network (OSTI)

! #12;PERILS OF LONG-RANGE ENERGY FORCASTING 255 Fig. 1. Forecasts of the U.S. primary energy notable forecasts of the U.S. primary energy consumption in the year 2000 that were released between have been around energy matters for some time--is the goal of U.S. energy independence charted

Smil, Vaclav

43

TRANSPORTATION ENERGY FORECASTS FOR THE 2007 INTEGRATED ENERGY  

E-Print Network (OSTI)

CALIFORNIA ENERGY COMMISSION TRANSPORTATION ENERGY FORECASTS FOR THE 2007 INTEGRATED ENERGY POLICY AND TRANSPORTATION DIVISION B.B. Blevins Executive Director DISCLAIMER This report was prepared by a California has developed longterm forecasts of transportation energy demand as well as projected ranges

44

Annual Energy Outlook 2001 - Forecast Comparisons  

Gasoline and Diesel Fuel Update (EIA)

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

45

CALIFORNIA ENERGY DEMAND 2008-2018 STAFF REVISED FORECAST  

E-Print Network (OSTI)

CALIFORNIA ENERGY COMMISSION CALIFORNIA ENERGY DEMAND 2008-2018 STAFF REVISED FORECAST forecast is the combined product of the hard work and expertise of numerous staff members in the Demand prepared the residential sector forecast. Mohsen Abrishami prepared the commercial sector forecast. Lynn

46

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

47

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

48

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

49

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

50

PRELIMINARY CALIFORNIA ENERGY DEMAND FORECAST 2012-2022  

E-Print Network (OSTI)

PRELIMINARY CALIFORNIA ENERGY DEMAND FORECAST 2012-2022 AUGUST 2011 CEC-200-2011-011-SD CALIFORNIA or adequacy of the information in this report. #12;i ACKNOWLEDGEMENTS The staff demand forecast forecast. Bryan Alcorn and Mehrzad Soltani Nia prepared the industrial forecast. Miguel Garcia- Cerrutti

51

Navy mobility fuels forecasting system report: World petroleum trade forecasts for the year 2000  

Science Conference Proceedings (OSTI)

The Middle East will continue to play the dominant role of a petroleum supplier in the world oil market in the year 2000, according to business-as-usual forecasts published by the US Department of Energy. However, interesting trade patterns will emerge as a result of the democratization in the Soviet Union and Eastern Europe. US petroleum imports will increase from 46% in 1989 to 49% in 2000. A significantly higher level of US petroleum imports (principally products) will be coming from Japan, the Soviet Union, and Eastern Europe. Several regions, the Far East, Japan, Latin American, and Africa will import more petroleum. Much uncertainty remains about of the level future Soviet crude oil production. USSR net petroleum exports will decrease; however, the United States and Canada will receive some of their imports from the Soviet Union due to changes in the world trade patterns. The Soviet Union can avoid becoming a net petroleum importer as long as it (1) maintains enough crude oil production to meet its own consumption and (2) maintains its existing refining capacities. Eastern Europe will import approximately 50% of its crude oil from the Middle East.

Das, S.

1991-12-01T23:59:59.000Z

52

OpenEI Community - energy data + forecasting  

Open Energy Info (EERE)

FRED FRED http://en.openei.org/community/group/fred Description: Free Energy Database Tool on OpenEI This is an open source platform for assisting energy decision makers and policy makers in formulating policies and energy plans based on easy to use forecasting tools, visualizations, sankey diagrams, and open data. The platform will live on OpenEI and this community was established to initiate discussion around continuous development of this tool, integrating it with new datasets, and connecting with the community of users who will want to contribute data to the tool and use the tool for planning purposes. energy data + forecasting Fri, 22 Jun 2012 15:30:20 +0000 Dbrodt 34

53

Annual Energy Outlook 1998 Forecasts  

Gasoline and Diesel Fuel Update (EIA)

EIA Administrator's Press Briefing on the Annual Energy Outlook 1998 (AEO98) Annual Energy Outlook 1998 - Errata as of 3698 Data from the AEO98 Assumptions to the AEO98 (Nat'Gas...

54

Univariate Modeling and Forecasting of Monthly Energy Demand Time Series  

E-Print Network (OSTI)

in this report. #12;i ABSTRACT These electricity demand forms and instructions ask load-serving entities and Instructions for Electricity Demand Forecasts. California Energy Commission, Electricity Supply Analysis.................................................................................................................................7 Form 1 Historic and Forecast Electricity Demand

Abdel-Aal, Radwan E.

55

EIA - Forecasts and Analysis of Energy Data  

Gasoline and Diesel Fuel Update (EIA)

Energy Consumption by End-Use Sector Energy Consumption by End-Use Sector In the IEO2005 projections, end-use energy consumption in the residential, commercial, industrial, and transportation sectors varies widely among regions and from country to country. One way of looking at the future of world energy markets is to consider trends in energy consumption at the end-use sector level. With the exception of the transportation sector, which is almost universally dominated by petroleum products at present, the mix of energy use in the residential, commercial, and industrial sectors can vary widely from country to country, depending on a combination of regional factors, such as the availability of energy resources, the level of economic development, and political, social, and demographic factors. This chapter outlines the International Energy Outlook 2005 (IEO2005) forecast for regional energy consumption by end-use sector.

56

Wind Energy Forecasting Technology Update: 2006  

Science Conference Proceedings (OSTI)

The worldwide installed wind generation capacity increased by 25 and reached almost 60,000 MW worldwide during 2005. As wind capacity continues to grow and large regional concentrations of wind generation emerge, utilities and regional transmission organizations will increasingly need accurate same-day and next-day forecasts of wind energy generation to dispatch system generation and transmission resource and anticipate rapid changes of wind generation.

2006-12-05T23:59:59.000Z

57

Wind Energy Forecasting Technology Update: 2005  

Science Conference Proceedings (OSTI)

The worldwide installed wind generation capacity increased by 25 and reached almost 60,000 MW worldwide during 2005. As wind capacity continues to grow and large regional concentrations of wind generation emerge, utilities and regional transmission organizations will increasingly need accurate same-day and next-day forecasts of wind energy generation to dispatch system generation and transmission resource and anticipate rapid changes of wind generation. The project objective is to summarize the results o...

2006-03-31T23:59:59.000Z

58

NREL: Energy Analysis - Energy Forecasting and Modeling Staff  

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

Energy Forecasting and Modeling Energy Forecasting and Modeling The following includes summary bios of staff expertise and interests in analysis relating to energy economics, energy system planning, risk and uncertainty modeling, and energy infrastructure planning. Team Lead: Nate Blair Administrative Support: Geraly Amador Clayton Barrows Greg Brinkman Brian W Bush Stuart Cohen Carolyn Davidson Paul Denholm Victor Diakov Aron Dobos Easan Drury Kelly Eurek Janine Freeman Marissa Hummon Jennie Jorganson Jordan Macknick Trieu Mai David Mulcahy David Palchak Ben Sigrin Daniel Steinberg Patrick Sullivan Aaron Townsend Laura Vimmerstedt Andrew Weekley Owen Zinaman Photo of Clayton Barrows. Clayton Barrows Postdoctoral Researcher Areas of expertise Power system modeling Primary research interests Power and energy systems

59

Annual Energy Outlook 1998 Forecasts - Preface  

Gasoline and Diesel Fuel Update (EIA)

1998 With Projections to 2020 1998 With Projections to 2020 Annual Energy Outlook 1999 Report will be Available on December 9, 1998 Preface The Annual Energy Outlook 1998 (AEO98) presents midterm forecasts of energy supply, demand, and prices through 2020 prepared by the Energy Information Administration (EIA). The projections are based on results from EIA's National Energy Modeling System (NEMS). The report begins with an “Overview” summarizing the AEO98 reference case. The next section, “Legislation and Regulations,” describes the assumptions made with regard to laws that affect energy markets and discusses evolving legislative and regulatory issues. “Issues in Focus” discusses three current energy issues—electricity restructuring, renewable portfolio standards, and carbon emissions. It is followed by the analysis

60

Short-Term Solar Energy Forecasting Using Wireless Sensor Networks  

E-Print Network (OSTI)

Short-Term Solar Energy Forecasting Using Wireless Sensor Networks Stefan Achleitner, Tao Liu in power output is a major concern and forecasting is, therefore, a top priority. We propose a sensing infrastructure to enable sensing of solar irradiance with application to solar array output forecasting

Cerpa, Alberto E.

Note: This page contains sample records for the topic "yearly energy forecasts" 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

EIA - Forecasts and Analysis of Energy Data  

Gasoline and Diesel Fuel Update (EIA)

Contacts Contacts The International Energy Outlook is prepared by the Energy Information Administration (EIA). General questions concerning the contents of the report should be referred to John J. Conti (john.conti@eia.doe.gov, 202-586-2222), Director, Office of Integrated Analysis and Forecasting. Specific questions about the report should be referred to Linda E. Doman (202/586-1041) or the following analysts: World Energy and Economic Outlook Linda Doman (linda.doman@eia.doe.gov, 202-586-1041) Macroeconomic Assumptions Nasir Khilji (nasir.khilji@eia.doe.gov, 202-586-1294) Energy Consumption by End-Use Sector Residential Energy Use John Cymbalsky (john.cymbalsky@eia.doe.gov, 202-586-4815) Commercial Energy Use Erin Boedecker (erin.boedecker@eia.doe.gov, 202-586-4791)

62

TRANSPORTATION ENERGY FORECASTS FOR THE 2007 INTEGRATED ENERGY  

E-Print Network (OSTI)

of future contributions from various emerging transportation fuels and technologies is unknown. PotentiallyCALIFORNIA ENERGY COMMISSION TRANSPORTATION ENERGY FORECASTS FOR THE 2007 INTEGRATED ENERGY POLICY AND TRANSPORTATION DIVISION B. B. Blevins Executive Director DISCLAIMER This report was prepared by a California

63

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.

64

ANL Wind Power Forecasting and Electricity Markets | Open Energy  

Open Energy Info (EERE)

ANL Wind Power Forecasting and Electricity Markets ANL Wind Power Forecasting and Electricity Markets Jump to: navigation, search Logo: Wind Power Forecasting and Electricity Markets Name Wind Power Forecasting and Electricity Markets Agency/Company /Organization Argonne National Laboratory Partner Institute for Systems and Computer Engineering of Porto (INESC Porto) in Portugal, Midwest Independent System Operator and Horizon Wind Energy LLC, funded by U.S. Department of Energy Sector Energy Focus Area Wind Topics Pathways analysis, Technology characterizations Resource Type Software/modeling tools Website http://www.dis.anl.gov/project References Argonne National Laboratory: Wind Power Forecasting and Electricity Markets[1] Abstract To improve wind power forecasting and its use in power system and electricity market operations Argonne National Laboratory has assembled a team of experts in wind power forecasting, electricity market modeling, wind farm development, and power system operations.

65

EIA - Forecasts and Analysis of Energy Data  

Gasoline and Diesel Fuel Update (EIA)

Natural Gas Natural Gas Natural gas is the fastest growing primary energy source in the IEO2005 forecast. Consumption of natural gas is projected to increase by nearly 70 percent between 2002 and 2025, with the most robust growth in demand expected among the emerging economies. Figure 34. World Natural Gas Consumption, 1980-2025 (Trillion Cubic Feet). Need help, contact the National Energy Information Center on 202-586-8800. Figure Data Figure 35. Natural Gas Consumption by Region, 1980-2025 (Trillion Cubic Feet). Need help, contact the National Energy Information Center at 202-586-8800. Figure Data Figure 36. Increase in Natural Gas Consumption by Region and Country, 2002-2025. Need help, contact the National Energy Information Center at 202-586-8800. Figure Data

66

Today's Forecast: Improved Wind Predictions | Department of Energy  

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

in advance, allowing grid operators to predict expected wind power production. Accurate weather forecasts are critical for making energy sources -- including wind and solar --...

67

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

68

Calibrated Probabilistic Forecasting at the Stateline Wind Energy Center  

E-Print Network (OSTI)

Calibrated Probabilistic Forecasting at the Stateline Wind Energy Center: The Regime at wind energy sites are becoming paramount. Regime-switching space-time (RST) models merge meteorological forecast regimes at the wind energy site and fits a conditional predictive model for each regime

Washington at Seattle, University of

69

Forecasts of intercity passenger demand and energy use through 2000  

SciTech Connect

The development of national travel demand and energy-use forecasts for automobile and common-carrier intercity travel through the year 2000. The forecasts are driven by the POINTS (Passenger Oriented Intercity Network Travel Simulation) model, a model direct-demand model which accounts for competition among modes and destinations. Developed and used to model SMSA-to-SMSA business and nonbusiness travel, POINTS is an improvement over earlier direct demand models because it includes an explicit representation of cities' relative accessibilities and a utility maximizing behavorial multimodal travel function. Within POINTS, pathbuilding algorithms are used to determine city-pair travel times and costs by mode, including intramodal transfer times. Other input data include projections of SMSA population, public and private sector employment, and hotel and other retail receipts. Outputs include forecasts of SMSA-to-SMSA person trips and person-miles of travel by mode. For the national forecasts, these are expanded to represent all intercity travel (trips greater than 100 miles, one way) for two fuel-price cases. Under both cases rising fuel prices, accompanied by substantial reductions in model-energy intensities, result in moderate growth in total intercity passenger travel. Total intercity passenger travel is predicted to grow at approximately one percent per year, slightly fster than population growth, while air travel grows almost twice as fast as population. The net effect of moderate travel growth and substantial reduction in model energy intensities is a reduction of approximately 50 percent in fuel consumption by the intercity passenger travel market.

Kaplan, M.P.; Vyas, A.D.; Millar, M.; Gur, Y.

1982-01-01T23:59:59.000Z

70

Annual Energy Outlook with Projections to 2025-Forecast Comparisons  

Gasoline and Diesel Fuel Update (EIA)

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

71

Today's Forecast: Improved Wind Predictions | Department of Energy  

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

Today's Forecast: Improved Wind Predictions Today's Forecast: Improved Wind Predictions Today's Forecast: Improved Wind Predictions July 20, 2011 - 6:30pm Addthis Stan Calvert Wind Systems Integration Team Lead, Wind & Water Power Program What does this project do? It will increase the accuracy of weather forecast models for predicting substantial changes in winds at heights important for wind energy up to six hours in advance, allowing grid operators to predict expected wind power production. Accurate weather forecasts are critical for making energy sources -- including wind and solar -- dependable and predictable. These forecasts also play an important role in reducing the cost of renewable energy by allowing electricity grid operators to make timely decisions on what reserve generation they need to operate their systems.

72

Today's Forecast: Improved Wind Predictions | Department of Energy  

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

Today's Forecast: Improved Wind Predictions Today's Forecast: Improved Wind Predictions Today's Forecast: Improved Wind Predictions July 20, 2011 - 6:30pm Addthis Stan Calvert Wind Systems Integration Team Lead, Wind & Water Power Program What does this project do? It will increase the accuracy of weather forecast models for predicting substantial changes in winds at heights important for wind energy up to six hours in advance, allowing grid operators to predict expected wind power production. Accurate weather forecasts are critical for making energy sources -- including wind and solar -- dependable and predictable. These forecasts also play an important role in reducing the cost of renewable energy by allowing electricity grid operators to make timely decisions on what reserve generation they need to operate their systems.

73

Energy forecasting: the troubled past of looking the future  

SciTech Connect

Energy forecasts have hardly been distinguished by their accuracy. Why forecasts go awry, and the impact these prominent tools have, is explored. A brief review of the record is given. Because of their allure, their popularity in he media, and their usefulness as tools in political battles, forecasts have played a significant role so far. The danger is that they represent and enhance a fix 'em up, tinkering approach, to the detriment of more efficient free-market policies.

Kutler, E.

1986-01-01T23:59:59.000Z

74

Wind forecasting objectives for utility schedulers and energy traders  

DOE Green Energy (OSTI)

The wind energy industry and electricity producers can benefit in a number of ways from increased wind forecast accuracy. Higher confidence in the reliability of wind forecasts can help persuade an electric utility to increase the penetration of wind energy into its operating system and to augment the capacity value of wind electric generation. Reliable forecasts can also assist daily energy traders employed by utilities in marketing the available and anticipated wind energy to power pools and other energy users. As the number of utilities with wind energy experience grows, and wind energy penetration levels increase, the need for reliable wind forecasts will likely grow as well. This period of wind energy growth also coincides with advances in computer weather prediction technology that could lead to more accurate wind forecasts. Thus, it is important to identify the type of forecast information needed by utility schedulers and energy traders. This step will help develop approaches to the challenge of wind forecasting that will result in useful products being supplied to utilities or other energy generating entities. This paper presents the objectives, approach, and current findings of a US Department of Energy National Renewable Energy Laboratory (DOE/NREL) initiative to develop useful wind forecasting tools for utilities involved with wind energy generation. The focus of this initiative thus far has been to learn about the needs of prospective utility users. NREL representatives conducted a series of onsite interviews with key utility staff, usually schedulers and research planners, at seven US utilities. The purpose was to ascertain information on actual scheduling and trading procedures, and how utilities could integrate wind forecasting into these activities.

Schwartz, M.N. [National Renewable Energy Lab., Golden, CO (United States); Bailey, B.H. [AWS Scientific, Inc., Albany, NY (United States)

1998-05-01T23:59:59.000Z

75

Comparison of Energy Information Administration and Bonneville Power Administration load forecasts  

SciTech Connect

Comparisons of the modeling methodologies underlying the project Independence Evaluation System (PIES) and the Bonneville Power Administration forecasts are discussed in this paper. This Technical Memorandum is presented in order to reconcile apparent inconsistencies between the forecasts. These represent different purposes for the modeling effort as well as different forecasts. Nonetheless, both are appropriate within the context that they are intended. The BPA forecasts are site-specific, detailed, micro-level, yearly forecasts of the demand for electricity. PIES develops regional, macro forecasts and does not contain estimates of the timing of the completion of plants within the period of the forecast. The BPA forecast is intended to be utilized in analyzing a sub-regional capacity expansion program. PIES is a regional energy market-clearing, non-normative model which allows different scenarios to be compared by changing input variables. Clearly, both forecasts are dependent upon the accuracy of the assumptions and input variables included. However, the differing levels of aggregation and objectives require different types of input variables.

Reed, H.J.

1978-06-01T23:59:59.000Z

76

Energy Forecasting Framework and Emissions Consensus Tool (EFFECT) | Open  

Open Energy Info (EERE)

Energy Forecasting Framework and Emissions Consensus Tool (EFFECT) Energy Forecasting Framework and Emissions Consensus Tool (EFFECT) Jump to: navigation, search LEDSGP green logo.png FIND MORE DIA TOOLS This tool is part of the Development Impacts Assessment (DIA) Toolkit from the LEDS Global Partnership. Tool Summary LAUNCH TOOL Name: Energy Forecasting Framework and Emissions Consensus Tool (EFFECT) Agency/Company /Organization: Energy Sector Management Assistance Program of the World Bank Sector: Energy Focus Area: Non-renewable Energy Topics: Baseline projection, Co-benefits assessment, GHG inventory Resource Type: Software/modeling tools User Interface: Spreadsheet Complexity/Ease of Use: Simple Website: www.esmap.org/esmap/EFFECT Cost: Free Equivalent URI: www.esmap.org/esmap/EFFECT Energy Forecasting Framework and Emissions Consensus Tool (EFFECT) Screenshot

77

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

78

Three Years of Operational Prediction of Forecast Skill at NMC  

Science Conference Proceedings (OSTI)

In real time since 1990, the National Meteorological Center (NMC) has been running a system to predict the forecast skill of the medium-range forecasts produced by the NMC global spectral model. The predictors used are the agreement of an ...

Richard L. Wobus; Eugenia Kalnay

1995-07-01T23:59:59.000Z

80

MPC for Wind Power Gradients --Utilizing Forecasts, Rotor Inertia, and Central Energy Storage  

E-Print Network (OSTI)

MPC for Wind Power Gradients -- Utilizing Forecasts, Rotor Inertia, and Central Energy Storage iterations. We demonstrate our method in simulations with various wind scenarios and prices for energy. INTRODUCTION Today, wind power is the most important renewable energy source. For the years to come, many

Note: This page contains sample records for the topic "yearly energy forecasts" 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

EIA - Forecasts and Analysis of Energy Data  

Gasoline and Diesel Fuel Update (EIA)

I: System for the Analysis of Global Energy Markets (SAGE) I: System for the Analysis of Global Energy Markets (SAGE) The projections of world energy consumption appearing in this year’s International Energy Outlook (IEO) are based on the Energy Information Administration’s (EIA’s) international energy modeling tool, System for the Analysis of Global Energy markets (SAGE). SAGE is an integrated set of regional models that provide a technology-rich basis for estimating regional energy consumption. For each region, reference case estimates of 42 end-use energy service demands (e.g., car, commercial truck, and heavy truck road travel; residential lighting; steam heat requirements in the paper industry) are developed on the basis of economic and demographic projections. Projections of energy consumption to meet the energy demands are estimated on the basis of each region’s existing energy use patterns, the existing stock of energy-using equipment, and the characteristics of available new technologies, as well as new sources of primary energy supply.

82

The Value of Seasonal Climate Forecasts in Managing Energy Resources  

Science Conference Proceedings (OSTI)

Research and interviews with officials of the United States energy industry and a systems analysis of decision making in a natural gas utility lead to the conclusion that seasonal climate forecasts would only have limited value in fine tuning the ...

Edith Brown Weiss

1982-04-01T23:59:59.000Z

83

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

SciTech Connect

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

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

1992-02-01T23:59:59.000Z

84

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

SciTech Connect

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

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

1992-02-01T23:59:59.000Z

85

Cost forecasts: Euyropean International High-Energy Physics facilities - Million Swiss Francs at 1966 prices  

E-Print Network (OSTI)

Cost forecasts: Euyropean International High-Energy Physics facilities - Million Swiss Francs at 1966 prices

ECFA meeting

1966-01-01T23:59:59.000Z

86

Wind Energy Technology Trends: Comparing and Contrasting Recent Cost and Performance Forecasts (Poster)  

DOE Green Energy (OSTI)

Poster depicts wind energy technology trends, comparing and contrasting recent cost and performance forecasts.

Lantz, E.; Hand, M.

2010-05-01T23:59:59.000Z

87

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...

88

Implementation of a Corporate Energy Accounting and Forecasting Model  

E-Print Network (OSTI)

The development and implementation of a Frito-Lay computer based energy consumption reporting and modeling program is discussed. The system has been designed to relate actual plant energy consumption to a standard consumption which incorporates the effects of weather, product mix, specific equipment types, and other plant factors. The model also provides energy consumption forecasts based on projected production, equipment improvements, and fuels mix. Development of the model began in August 1979 and was preceded by two years of complete auditing of all areas in two manufacturing plants plus specific processing lines in other plants to determine typical energy usage. Extensive analyses of the data resulted in the formulation of standards for the various pieces of equipment which are used as energy performance 'yardsticks'. Monthly reports permit equitable comparisons of plant energy consumption and isolation of those plants with the lowest efficiencies. The financial impact of increasing energy consumption, of the projected energy use for new plants or plant expansions, and of the effect of process changes on overall energy consumption can be also evaluated.

Kympton, H. W.; Bowman, B. M.

1981-01-01T23:59:59.000Z

89

Thirty-Year Solid Waste Generation Maximum and Minimum Forecast for SRS  

SciTech Connect

This report is the third phase (Phase III) of the Thirty-Year Solid Waste Generation Forecast for Facilities at the Savannah River Site (SRS). Phase I of the forecast, Thirty-Year Solid Waste Generation Forecast for Facilities at SRS, forecasts the yearly quantities of low-level waste (LLW), hazardous waste, mixed waste, and transuranic (TRU) wastes generated over the next 30 years by operations, decontamination and decommissioning and environmental restoration (ER) activities at the Savannah River Site. The Phase II report, Thirty-Year Solid Waste Generation Forecast by Treatability Group (U), provides a 30-year forecast by waste treatability group for operations, decontamination and decommissioning, and ER activities. In addition, a 30-year forecast by waste stream has been provided for operations in Appendix A of the Phase II report. The solid wastes stored or generated at SRS must be treated and disposed of in accordance with federal, state, and local laws and regulations. To evaluate, select, and justify the use of promising treatment technologies and to evaluate the potential impact to the environment, the generic waste categories described in the Phase I report were divided into smaller classifications with similar physical, chemical, and radiological characteristics. These smaller classifications, defined within the Phase II report as treatability groups, can then be used in the Waste Management Environmental Impact Statement process to evaluate treatment options. The waste generation forecasts in the Phase II report includes existing waste inventories. Existing waste inventories, which include waste streams from continuing operations and stored wastes from discontinued operations, were not included in the Phase I report. Maximum and minimum forecasts serve as upper and lower boundaries for waste generation. This report provides the maximum and minimum forecast by waste treatability group for operation, decontamination and decommissioning, and ER activities.

Thomas, L.C.

1994-10-01T23:59:59.000Z

90

The Skill of ECMWF Medium-Range Forecasts during the Year of Tropical Convection 2008  

Science Conference Proceedings (OSTI)

This study uses the European Centre for Medium-Range Weather Forecasts (ECMWF) model-generated high-resolution 10-day-long predictions for the Year of Tropical Convection (YOTC) 2008. Precipitation forecast skills of the model over the tropics ...

Arindam Chakraborty

2010-10-01T23:59:59.000Z

91

EIA - Forecasts and Analysis of Energy Data  

Gasoline and Diesel Fuel Update (EIA)

Oil Markets Oil Markets IEO2005 projects that world crude oil prices in real 2003 dollars will decline from their current level by 2010, then rise gradually through 2025. In the International Energy Outlook 2005 (IEO2005) reference case, world demand for crude oil grows from 78 million barrels per day in 2002 to 103 million barrels per day in 2015 and to just over 119 million barrels per day in 2025. Much of the growth in oil consumption is projected for the emerging Asian nations, where strong economic growth results in a robust increase in oil demand. Emerging Asia (including China and India) accounts for 45 percent of the total world increase in oil use over the forecast period in the IEO2005 reference case. The projected increase in world oil demand would require an increment to world production capability of more than 42 million barrels per day relative to the 2002 crude oil production capacity of 80.0 million barrels per day. Producers in the Organization of Petroleum Exporting Countries (OPEC) are expected to be the major source of production increases. In addition, non-OPEC supply is expected to remain highly competitive, with major increments to supply coming from offshore resources, especially in the Caspian Basin, Latin America, and deepwater West Africa. The estimates of incremental production are based on current proved reserves and a country-by-country assessment of ultimately recoverable petroleum. In the IEO2005 oil price cases, the substantial investment capital required to produce the incremental volumes is assumed to exist, and the investors are expected to receive at least a 10-percent return on investment.

92

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

93

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

E-Print Network (OSTI)

An important determinant of our energy future is the rate at which energy conservation technologies, once developed, are put into use. At Synergic Resources Corporation, we have adapted and applied a methodology to forecast the use of conservation technologies. This paper briefly discusses the observed patterns of the diffusion of new' technologies and the determinants (both sociological and economic) which have been proposed to explain the variation in the diffusion rates. Existing market penetration models are reviewed and their capability to forecast the use of conservation technologies is assessed using a set of criteria developed for this purpose. The reasoning behind the choice of criteria is discussed. The criteria includes the range of hypothesized influences to market penetration that are incorporated into the models and the applicability of the available parameter estimates. The attributes of our methodology and forecasting model choice (a behavioral lag equation developed by Mathtech, Inc.), are displayed using a list of the judgment criteria. This method was used to forecast the use of electricity conservation technologies in industries located in the Pacific Northwest for the Bonneville Power Administration.

Lang, K.

1982-01-01T23:59:59.000Z

94

Short-Term Energy Outlook Model Documentation: Macro Bridge Procedure to Update Regional Macroeconomic Forecasts with National Macroeconomic Forecasts  

Reports and Publications (EIA)

The Regional Short-Term Energy Model (RSTEM) uses macroeconomic variables such as income, employment, industrial production and consumer prices at both the national and regional1 levels as explanatory variables in the generation of the Short-Term Energy Outlook (STEO). This documentation explains how national macroeconomic forecasts are used to update regional macroeconomic forecasts through the RSTEM Macro Bridge procedure.

Information Center

2010-06-01T23:59:59.000Z

95

Regional forecasting with global atmospheric models; Third year report  

SciTech Connect

This report was prepared by the Applied Research Corporation (ARC), College Station, Texas, under subcontract to Pacific Northwest Laboratory (PNL) as part of a global climate studies task. The task supports site characterization work required for the selection of a potential high-level nuclear waste repository and is part of the Performance Assessment Scientific Support (PASS) Program at PNL. The work is under the overall direction of the Office of Civilian Radioactive Waste Management (OCRWM), US Department of Energy Headquarters, Washington, DC. The scope of the report is to present the results of the third year`s work on the atmospheric modeling part of the global climate studies task. The development testing of computer models and initial results are discussed. The appendices contain several studies that provide supporting information and guidance to the modeling work and further details on computer model development. Complete documentation of the models, including user information, will be prepared under separate reports and manuals.

Crowley, T.J.; North, G.R.; Smith, N.R. [Applied Research Corp., College Station, TX (United States)

1994-05-01T23:59:59.000Z

96

United States energy supply and demand forecasts 1979-1995  

SciTech Connect

Forecasts of U.S. energy supply and demand by fuel type and economic sector, as well as historical background information, are presented. Discussion and results pertaining to the development of current and projected marginal energy costs, and their comparison with market prices, are also presented.

Walton, H.L.

1979-01-01T23:59:59.000Z

97

Final Report on California Regional Wind Energy Forecasting Project:Application of NARAC Wind Prediction System  

DOE Green Energy (OSTI)

Wind power is the fastest growing renewable energy technology and electric power source (AWEA, 2004a). This renewable energy has demonstrated its readiness to become a more significant contributor to the electricity supply in the western U.S. and help ease the power shortage (AWEA, 2000). The practical exercise of this alternative energy supply also showed its function in stabilizing electricity prices and reducing the emissions of pollution and greenhouse gases from other natural gas-fired power plants. According to the U.S. Department of Energy (DOE), the world's winds could theoretically supply the equivalent of 5800 quadrillion BTUs of energy each year, which is 15 times current world energy demand (AWEA, 2004b). Archer and Jacobson (2005) also reported an estimation of the global wind energy potential with the magnitude near half of DOE's quote. Wind energy has been widely used in Europe; it currently supplies 20% and 6% of Denmark's and Germany's electric power, respectively, while less than 1% of U.S. electricity is generated from wind (AWEA, 2004a). The production of wind energy in California ({approx}1.2% of total power) is slightly higher than the national average (CEC & EPRI, 2003). With the recently enacted Renewable Portfolio Standards calling for 20% of renewables in California's power generation mix by 2010, the growth of wind energy would become an important resource on the electricity network. Based on recent wind energy research (Roulston et al., 2003), accurate weather forecasting has been recognized as an important factor to further improve the wind energy forecast for effective power management. To this end, UC-Davis (UCD) and LLNL proposed a joint effort through the use of UCD's wind tunnel facility and LLNL's real-time weather forecasting capability to develop an improved regional wind energy forecasting system. The current effort of UC-Davis is aimed at developing a database of wind turbine power curves as a function of wind speed and direction, using its wind tunnel facility at the windmill farm at the Altamont Pass. The main objective of LLNL's involvement is to provide UC-Davis with improved wind forecasts to drive the parameterization scheme of turbine power curves developed from the wind tunnel facility. Another objective of LLNL's effort is to support the windmill farm operation with real-time wind forecasts for the effective energy management. The forecast skill in capturing the situation to meet the cut-in and cutout speed of given turbines would help reduce the operation cost in low and strong wind scenarios, respectively. The main focus of this report is to evaluate the wind forecast errors of LLNL's three-dimensional real-time weather forecast model at the location with the complex terrain. The assessment of weather forecast accuracy would help quantify the source of wind energy forecast errors from the atmospheric forecast model and/or wind-tunnel module for further improvement in the wind energy forecasting system.

Chin, H S

2005-07-26T23:59:59.000Z

98

Year 2000: energy enough  

SciTech Connect

The growing needs for energy in the U.S. are reviewed, and it is predicted that energy supplies will need be more than doubled by the year 2000. The solution lies in three areas: goal targeting, resource management, and timing. A no-growth economy and an economy continuing growth at an appropriate rate are two scenarios discussed. The second major area of choice in fixing energy capabilities for the year 2000 involves management of fuel resources. Shortages of oil and gas dictate that the increase in energy consumption be changed to coal and uranium, both of which are available domestically; utilization of these energy sources will mean increased electrification. It is concluded, then, that the best avenues toward ensuring a national energy supply are utilization of coal and uranium and the practice of energy conservation through greater efficiency. Timing is the third critical area of decision making that affects future energy supply. The long lead time required to bring about a change in the national energy mix is cited. Current estimates indicate that now is the time to push toward a national electricity target of at least 7500 billion kWh for the year 2000. Meeting the target means almost four times the present electricity supply, at a growth rate of about 5.7 percent per year. This target assumes a reasonable measure of energy conservation. (MCW)

Starr, C.

1976-06-01T23:59:59.000Z

99

California Regional Wind Energy Forecasting System Development, Vol. 3  

Science Conference Proceedings (OSTI)

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

2006-11-15T23:59:59.000Z

100

California Wind Energy Forecasting System Development and Testing Phase 2: 12-Month Testing  

Science Conference Proceedings (OSTI)

This report describes results from the second phase of the California Wind Energy Forecasting System Development and Testing Project.

2003-07-22T23:59:59.000Z

Note: This page contains sample records for the topic "yearly energy forecasts" 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

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

102

EIA - Forecasts and Analysis of Energy Data  

Gasoline and Diesel Fuel Update (EIA)

Energy-Related Carbon Dioxide Emissions Energy-Related Carbon Dioxide Emissions In the coming decades, responses to environmental issues could affect patterns of energy use around the world. Actions to limit greenhouse gas emissions could alter the level and composition of energy-related carbon dioxide emissions by energy source. Figure 67. World Carbon Dioxide Emissions by Region, 2002-2025 (Gigawatts). Need help, contact the National Energy Information Center at 202-586-8800. Figure Data Carbon dioxide is one of the most prevalent greenhouse gases in the atmosphere. Anthropogenic (human-caused) emissions of carbon dioxide result primarily from the combustion of fossil fuels for energy, and as a result world energy use has emerged at the center of the climate change debate. In the International Energy Outlook 2005 (IEO2005) reference case, world

103

EIA - Forecasts and Analysis of Energy Data  

Gasoline and Diesel Fuel Update (EIA)

G: Key Assumptions for the IEO2005 Kyoto Protocol Case G: Key Assumptions for the IEO2005 Kyoto Protocol Case Energy-Related Emissions of Greenhouse Gases The System for the Analysis of Global energy Markets (SAGE)—the model used by the Energy Information Administration (EIA) to prepare the International Energy Outlook 2005 (IEO2005) mid-term projections—does not include non-energy-related emissions of greenhouse gases, which are estimated at about 15 to 20 percent of total greenhouse gas emissions, based on inventories submitted to the United Nations Framework Convention on Climate Change (UNFCCC). SAGE models global energy supply and demand and, therefore, does not address agricultural and other non-energy-related emissions. EIA implicitly assumes that percentage reductions of non-energy-related emissions and their associated abatement costs will be similar to those for energy-related emissions. Non-energy-related greenhouse gas emissions are likely to grow faster than energy-related emissions; however, the marginal abatement costs for non-energy-related greenhouse gas emissions are not known and cannot be estimated reliably. In SAGE, each region’s emissions reduction goal under the Kyoto Protocol is based only on the corresponding estimate of that region’s energy-related carbon dioxide emissions, as determined by EIA data. It is assumed that the required reductions will also be proportionately less than if all gases were included.

104

Emerging challenges in wind energy forecasting for Australia  

E-Print Network (OSTI)

Growing concern about climate change has led to significant interest in renewable energy resources such as wind energy. However, such non-storable energy sources present a significant issue how to maintain continuity of supply in the event of possible disturbances to power production. For example, in the case of wind energy, such disturbances can result from extreme weather events due to frontal systems or rapidly evolving low pressure systems. Such events cannot be avoided, but if they can be accurately forecast, their impact can be minimized by ensuring that alternative sources are available to make up any power shortfalls. Thus as wind energy makes up an ever greater component of our energy supply, there is greater interest in developing models to produce accurate, local scale, wind-focused forecasts for wind farm sites that push the boundaries of current weather prediction techniques. In this article we present a case study focusing on the Woolnorth wind farm on the northwest tip of Tasmania, to highlight some of the key challenges that will be involved in developing such forecasts.

Merlinde J. Kay; Nicholas Cutler; Adam Micolich; Iain Macgill; Hugh Outhred Centre For Energy; Environmental Markets; South Wales

2008-01-01T23:59:59.000Z

105

Assumptions to Annual Energy Outlook - Energy Information ...  

U.S. Energy Information Administration (EIA)

Analysis & Projections. Monthly and yearly energy forecasts, analysis of energy topics, financial analysis, Congressional reports. Markets & ...

106

EIA - Forecasts and Analysis of Energy Data  

Gasoline and Diesel Fuel Update (EIA)

The International Energy Outlook 2005 (IEO2005) presents an assessment by the Energy Information Administration (EIA) of the outlook for international energy markets through 2025. U.S. projections appearing in IEO2005 are consistent with those published in EIA's Annual Energy Outlook 2005 (AEO2005), which was prepared using the National Energy Modeling System (NEMS). The International Energy Outlook 2005 (IEO2005) presents an assessment by the Energy Information Administration (EIA) of the outlook for international energy markets through 2025. U.S. projections appearing in IEO2005 are consistent with those published in EIA's Annual Energy Outlook 2005 (AEO2005), which was prepared using the National Energy Modeling System (NEMS). Table of Contents Projection Tables Reference Case High Economic Growth Case Low Economic Growth Case Reference Case Projections by End-Use Sector and Region Projections of Oil Production Capacity and Oil Production in Three Cases Projections of Nuclear Generating Capacity Highlights World Energy and Economic Outlook Outlook for World Energy Consumption World Economic Outlook Alternative Growth Cases

107

EIA - Forecasts and Analysis of Energy Data  

Gasoline and Diesel Fuel Update (EIA)

recent years, with higher capacity utilization rates reported for many existing nuclear facilities and expectations that most existing plants in the mature market and...

108

EIA - Forecasts and Analysis of Energy Data  

Gasoline and Diesel Fuel Update (EIA)

Coal Coal Although coal use is expected to be displaced by natural gas in some parts of the world, only a slight drop in its share of total energy consumption is projected by 2025. Coal continues to dominate electricity and industrial sector fuel markets in emerging Asia. Figure 50. World Coal Consumption by Region, 1970-2025 (Billion Short Tons). Need help, contact the National Energy Information Center at 202-586-8800. Figure Data Figure 51. Coal Share of World Energy Consumption by Sector, 2002, 2015, and 2025 (Percent). Need help, contact the National Energy Information Center at 202-586-8800. Figure Data Figure 52. World Recoverable Coal Reserves. Need help, contact the National Energy Information Center at 202-586-8800. Figure Data In the International Energy Outlook 2005 (IEO2005) reference case, world

109

Comparison of Bottom-Up and Top-Down Forecasts: Vision Industry Energy Forecasts with ITEMS and NEMS  

E-Print Network (OSTI)

Comparisons are made of energy forecasts using results from the Industrial module of the National Energy Modeling System (NEMS) and an industrial economic-engineering model called the Industrial Technology and Energy Modeling System (ITEMS), a model developed for industrial energy analysis at the Pacific Northwest National Laboratory. Although the results are mixed, generally ITEMS show greater penetration of energy efficient technologies and thus lower energy use, even though the business as usual forecasts for ITEMS uses a higher discount rate than NEMS uses.

Roop, J. M.; Dahowski, R. T

2000-04-01T23:59:59.000Z

110

Three Essays on Energy Economics and Forecasting  

E-Print Network (OSTI)

This dissertation contains three independent essays relating energy economics. The first essay investigates price asymmetry of diesel in South Korea by using the error correction model. Analyzing weekly market prices in the pass-through of crude oil, this model shows asymmetric price response does not exist at the upstream market but at the downstream market. Since time-variant residuals are found by the specified models for both weekly and daily retail prices at the downstream level, these models are implemented by a Generalized Autoregressive Conditional Heteroskedasticity (GARCH) process. The estimated results reveal that retail prices increase fast in the rise of crude oil prices but decrease slowly in the fall of those. Surprisingly, retail prices rarely respond to changes of crude oil prices for the first five days. Based on collusive behaviors of retailers, this price asymmetry in Korea diesel market is explained. The second essay aims to evaluate the new incentive system for biodiesel in South Korea, which keeps the blend mandate but abolishes tax credits for government revenues. To estimate changed welfare from the new policy, a multivariate stochastic simulation method is applied into time-series data for the last five years. From the simulation results, the new biodiesel policy will lead government revenues to increases with the abolishment of tax credit. However, increased prices of blended diesel will cause to decrease demands of both biodiesel and blended diesel, so consumer and producer surplus in the transport fuel market will decrease. In the third essay, the Regression - Seasonal Autoregressive Integrated Moving Average (REGSARIMA) model is employed to predict the impact of air temperature on daily peak load demand in Houston. Compared with ARIMA and Seasonal Model, a REGARIMA model provides the more accurate prediction for daily peak load demand for the short term. The estimated results reveal air temperature in the Houston areas causes an increase in electricity consumption for cooling but to save that for heating. Since the daily peak electricity consumption is significantly affected by hot air temperature, this study makes a conclusion that it is necessary to establish policies to reduce urban heat island phenomena in Houston.

Shin, Yoon Sung

2011-12-01T23:59:59.000Z

111

Summary Short?Term Energy Outlook Supplement: Energy Price Volatility and Forecast Uncertainty 1  

E-Print Network (OSTI)

It is often noted that energy prices are quite volatile, reflecting market participants adjustments to new information from physical energy markets and/or markets in energyrelated financial derivatives. Price volatility is an indication of the level of uncertainty, or risk, in the market. This paper describes how markets price risk and how the marketclearing process for risk transfer can be used to generate price bands around observed futures prices for crude oil, natural gas, and other commodities. These bands provide a quantitative measure of uncertainty regarding the range in which markets expect prices to trade. The Energy Information Administrations (EIA) monthly Short-Term Energy Outlook (STEO) publishes base case projections for a variety of energy prices that go out 12 to 24 months (every January the STEO forecast is extended through December of the following year). EIA has recognized that all price forecasts are highly uncertain and has described the uncertainty by identifying the market factors that may significantly move prices away from their expected paths, such as economic growth, Organization of Petroleum Exporting Countries (OPEC) behavior, geo-political events, and hurricanes.

unknown authors

2009-01-01T23:59:59.000Z

112

EIA - Forecasts and Analysis of Energy Data  

Gasoline and Diesel Fuel Update (EIA)

Preface Preface This report presents international energy projections through 2025, prepared by the Energy Information Administration, including outlooks for major energy fuels and associated carbon dioxide emissions. The International Energy Outlook 2005 (IEO2005) presents an assessment by the Energy Information Administration (EIA) of the outlook for international energy markets through 2025. U.S. projections appearing in IEO2005 are consistent with those published in EIA’s Annual Energy Outlook 2005 (AEO2005), which was prepared using the National Energy Modeling System (NEMS). Although the IEO typically uses the same reference case as the AEO, IEO2005 has adopted the October futures case from AEO2005 as its reference case for the United States. The October futures case, which has an assumption of higher world oil prices than the AEO2005 reference case, now appears to be a more likely projection. The reference case prices will be reconsidered for the next AEO. Based on information available as of July 2005, the AEO2006 reference case will likely reflect world oil prices higher than those in the IEO2005 reference case.

113

Review of Wind Energy Forecasting Methods for Modeling Ramping Events  

DOE Green Energy (OSTI)

Tall onshore wind turbines, with hub heights between 80 m and 100 m, can extract large amounts of energy from the atmosphere since they generally encounter higher wind speeds, but they face challenges given the complexity of boundary layer flows. This complexity of the lowest layers of the atmosphere, where wind turbines reside, has made conventional modeling efforts less than ideal. To meet the nation's goal of increasing wind power into the U.S. electrical grid, the accuracy of wind power forecasts must be improved. In this report, the Lawrence Livermore National Laboratory, in collaboration with the University of Colorado at Boulder, University of California at Berkeley, and Colorado School of Mines, evaluates innovative approaches to forecasting sudden changes in wind speed or 'ramping events' at an onshore, multimegawatt wind farm. The forecast simulations are compared to observations of wind speed and direction from tall meteorological towers and a remote-sensing Sound Detection and Ranging (SODAR) instrument. Ramping events, i.e., sudden increases or decreases in wind speed and hence, power generated by a turbine, are especially problematic for wind farm operators. Sudden changes in wind speed or direction can lead to large power generation differences across a wind farm and are very difficult to predict with current forecasting tools. Here, we quantify the ability of three models, mesoscale WRF, WRF-LES, and PF.WRF, which vary in sophistication and required user expertise, to predict three ramping events at a North American wind farm.

Wharton, S; Lundquist, J K; Marjanovic, N; Williams, J L; Rhodes, M; Chow, T K; Maxwell, R

2011-03-28T23:59:59.000Z

114

Weather forecast-based optimization of integrated energy systems.  

SciTech Connect

In this work, we establish an on-line optimization framework to exploit detailed weather forecast information in the operation of integrated energy systems, such as buildings and photovoltaic/wind hybrid systems. We first discuss how the use of traditional reactive operation strategies that neglect the future evolution of the ambient conditions can translate in high operating costs. To overcome this problem, we propose the use of a supervisory dynamic optimization strategy that can lead to more proactive and cost-effective operations. The strategy is based on the solution of a receding-horizon stochastic dynamic optimization problem. This permits the direct incorporation of economic objectives, statistical forecast information, and operational constraints. To obtain the weather forecast information, we employ a state-of-the-art forecasting model initialized with real meteorological data. The statistical ambient information is obtained from a set of realizations generated by the weather model executed in an operational setting. We present proof-of-concept simulation studies to demonstrate that the proposed framework can lead to significant savings (more than 18% reduction) in operating costs.

Zavala, V. M.; Constantinescu, E. M.; Krause, T.; Anitescu, M.

2009-03-01T23:59:59.000Z

115

EIA - Forecasts and Analysis of Energy Data  

Gasoline and Diesel Fuel Update (EIA)

Projections by End-Use Sector and Region Tables (2002-2025) Projections by End-Use Sector and Region Tables (2002-2025) Formats Reference Case Projections by End-Use Sector and Region Data Tables (1 to 15 complete) Excel PDF Table Title Table D1 Delivered Energy Consumption in the United States by End-Use Sector and Fuel Excel PDF Table D2 Delivered Energy Consumption in Canada by End-Use Sector and Fuel Excel PDF Table D3 Delivered Energy Consumption in Mexico by End-Use Sector and Fuel Excel PDF Table D4 Delivered Energy Consumption in Western Europe by End-Use Sector and Fuel Excel PDF Table D5 Delivered Energy Consumption in Japan by End-Use Sector and Fuel Excel PDF Table D6 Delivered Energy Consumption in Australia/New Zealand by End-Use Sector and Fuel Excel PDF Table D7 Delivered Energy Consumption in the Former Soviet Union by End-Use Sector and Fuel

116

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

117

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

118

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

119

EIA - Forecasts and Analysis of Energy Data  

Gasoline and Diesel Fuel Update (EIA)

Regional Definitions in the International Energy Outlook 2005 Regional Definitions in the International Energy Outlook 2005 Regular readers of the International Energy Outlook (IEO) will notice that, in this edition, the names used to describe country groupings have been changed. Although the organization of countries within the three major groupings has not changed, the nomenclature used in previous editions to describe the groups— namely, industrialized, EE/FSU, and developing— had become somewhat dated and did not accurately reflect the countries within them. Some analysts have argued that several of the countries in the “developing” group (South Korea and China, for instance) could fairly be called “industrialized” today. IEO2005 World Regions Map. Need help, contact the National Energy Information Center at 202-586-8800.

120

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

Note: This page contains sample records for the topic "yearly energy forecasts" 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

Forecast of contracting and subcontracting opportunities: Fiscal year 1998  

Science Conference Proceedings (OSTI)

This report describes procurement procedures and opportunities for small businesses with the Department of Energy (DOE). It describes both prime and subcontracting opportunities of $100,000 and above which are being set aside for 8(a) and other small business concerns. The report contains sections on: SIC codes; procurement opportunities with headquarters offices; procurement opportunities with field offices; subcontracting opportunities with major contractors; 8(a) contracts expiring in FY 1998; other opportunities to do business with DOE; management and operating contractors--expiration dates; Office of Small and Disadvantaged Business Utilization (OSDBU) staff directory; and small business survey. This document will be updated quarterly on the home page.

NONE

1998-01-01T23:59:59.000Z

122

Energy forecasts: searching for truth amidst the numbers  

SciTech Connect

High and volatile fuel prices coupled with erratic fuel availability have made reliable fuel forecasting vitally important for the nation's energy industry. The costs of error or missed opportunities are now enormous for management, stockholders, bondholders, gas and electricity ratepayers, and, of course, utility regulators. Fuel market forecasts affect a host of management decisions ranging from tactical fuel planning (e.g., how much oil, coal, and, eventually, gas to purchase on the spot market over the next 3 months) to strategic power system planning (e.g., what generating mix is optimal for the 1990s) and oil and gas exploration and production (EandP) planning (e.g., what portfolio of gas prospects should be developed this decade in the lower 48 states). Often hundreds of millions and sometimes billions of dollars are at stake in areas as diverse as: Industrial energy marketing, Fuel procurement planning, Fuel mix and fuel ownership strategy, Corporate business strategy planning, Company RandD planning, Oil and gas EandP budget planning, Electricity load forecasting, Electricity capacity planning and operations.

1984-01-01T23:59:59.000Z

123

Thirty-year solid waste generation forecast for facilities at SRS  

SciTech Connect

The information supplied by this 30-year solid waste forecast has been compiled as a source document to the Waste Management Environmental Impact Statement (WMEIS). The WMEIS will help to select a sitewide strategic approach to managing present and future Savannah River Site (SRS) waste generated from ongoing operations, environmental restoration (ER) activities, transition from nuclear production to other missions, and decontamination and decommissioning (D&D) programs. The EIS will support project-level decisions on the operation of specific treatment, storage, and disposal facilities within the near term (10 years or less). In addition, the EIS will provide a baseline for analysis of future waste management activities and a basis for the evaluation of the specific waste management alternatives. This 30-year solid waste forecast will be used as the initial basis for the EIS decision-making process. The Site generates and manages many types and categories of waste. With a few exceptions, waste types are divided into two broad groups-high-level waste and solid waste. High-level waste consists primarily of liquid radioactive waste, which is addressed in a separate forecast and is not discussed further in this document. The waste types discussed in this solid waste forecast are sanitary waste, hazardous waste, low-level mixed waste, low-level radioactive waste, and transuranic waste. As activities at SRS change from primarily production to primarily decontamination and decommissioning and environmental restoration, the volume of each waste s being managed will change significantly. This report acknowledges the changes in Site Missions when developing the 30-year solid waste forecast.

Not Available

1994-07-01T23:59:59.000Z

124

Univariate modeling and forecasting of monthly energy demand time series using abductive and neural networks  

Science Conference Proceedings (OSTI)

Neural networks have been widely used for short-term, and to a lesser degree medium and long-term, demand forecasting. In the majority of cases for the latter two applications, multivariate modeling was adopted, where the demand time series is related ... Keywords: Abductive networks, Energy demand, Medium-term load forecasting, Neural networks, Time series forecasting, Univariate time series analysis

R. E. Abdel-Aal

2008-05-01T23:59:59.000Z

125

Forecasting next-day price of electricity in the Spanish energy market using artificial neural networks  

Science Conference Proceedings (OSTI)

In this paper, next-day hourly forecasts are calculated for the energy price in the electricity production market of Spain. The methodology used to achieve these forecasts is based on artificial neural networks, which have been used successfully in recent ... Keywords: ART network, Backpropagation network, Box-Jenkins, Electricity market, Neural networks, Time series forecasting

Ral Pino; Jos Parreno; Alberto Gomez; Paolo Priore

2008-02-01T23:59:59.000Z

126

Large-scale Probabilistic Forecasting in Energy Systems using Sparse Gaussian Conditional Random Fields  

E-Print Network (OSTI)

pricing. Although it is known that probabilistic forecasts (which give a distribution over possible futureLarge-scale Probabilistic Forecasting in Energy Systems using Sparse Gaussian Conditional Random Fields Matt Wytock and J. Zico Kolter Abstract-- Short-term forecasting is a ubiquitous practice

Kolter, J. Zico

127

EIA - Forecasts and Analysis of Energy Data  

Gasoline and Diesel Fuel Update (EIA)

J: Regional Definitions J: Regional Definitions Figure J1. Map of the Six Basic Country Groupings. Need help, contact the National Energy Information Center at 202-586-8800. The six basic country groupings used in this report (Figure J1) are defined as follows: Mature Market Economies (15 percent of the 2005 world population): North America—United States, Canada, and Mexico; Western Europe—Austria, Belgium, Denmark, Finland, France, Germany, Greece, Iceland, Ireland, Italy, Luxembourg, the Netherlands, Norway, Portugal, Spain, Sweden, Switzerland, and the United Kingdom; Mature Market Asia—Japan, Australia, and New Zealand. Transitional Economies (6 percent of the 2005 world population): Eastern Europe (EE)—Albania, Bosnia and Herzegovina, Bulgaria, Croatia, Czech Republic, Hungary, Macedonia, Poland, Romania, Serbia and Montenegro,

128

Short-Term Energy Outlook - U.S. Energy Information ...  

U.S. Energy Information Administration (EIA)

Analysis & Projections. Monthly and yearly energy forecasts, analysis of energy topics, financial analysis, Congressional reports. Markets & ...

129

Delaware - State Energy Profile Overview - U.S. Energy ...  

U.S. Energy Information Administration (EIA)

Analysis & Projections. Monthly and yearly energy forecasts, analysis of energy topics, financial analysis, Congressional reports. Markets & ...

130

Georgia - State Energy Profile Overview - U.S. Energy ...  

U.S. Energy Information Administration (EIA)

Analysis & Projections. Monthly and yearly energy forecasts, analysis of energy topics, financial analysis, Congressional reports. Markets & ...

131

U.S. Regional Energy Demand Forecasts Using NEMS and GIS  

E-Print Network (OSTI)

LBNL-57955 U.S. Regional Energy Demand Forecasts Using NEMS and GIS Jesse A. Cohen, Jennifer L Efficiency and Renewable Energy, Office of Planning, Budget, and Analysis of the U.S. Department of Energy-57955 U.S. Regional Energy Demand Forecasts Using NEMS and GIS Prepared for the Office of Planning

132

California Wind Energy Forecasting System Development and Testing, Phase 1: Initial Testing  

Science Conference Proceedings (OSTI)

Wind energy forecasting uses sophisticated numerical weather forecasting and wind plant power generation models to predict the hourly energy generation of a wind power plant up to 48 hours in advance. As a result, it has great potential to address the needs of the California Independent System Operator (ISO) and the wind plant operators, as well as power marketers and buyers and utility system dispatch personnel. This report gives the results of 28 days of testing of wind energy forecasting at a Californ...

2003-01-31T23:59:59.000Z

133

Texas Wind Energy Forecasting System Development and Testing, Phase 1: Initial Testing  

Science Conference Proceedings (OSTI)

This report describes initial results from the Texas Wind Energy Forecasting System Development and Testing Project at a 75-MW wind project in west Texas.

2003-12-31T23:59:59.000Z

134

Improved Accuracy in Severe Storm Forecasting by the Severe Local Storms Unit during the Last 25 Years: Then versus Now  

Science Conference Proceedings (OSTI)

The purpose of this paper is to review the large strides made in tornado and severe thunderstorm forecasting by the Severe Local Storms Unit (SELS) of the National Severe Storms Forecast Center during the last 25 years or so of its existence. The ...

Frederick P. Ostby

1999-08-01T23:59:59.000Z

135

Context-aware parameter estimation for forecast models in the energy domain  

Science Conference Proceedings (OSTI)

Continuous balancing of energy demand and supply is a fundamental prerequisite for the stability and efficiency of energy grids. This balancing task requires accurate forecasts of future electricity consumption and production at any point in time. For ... Keywords: energy, forecasting, maintenance, parameter estimation

Lars Dannecker; Robert Schulze; Matthias Bhm; Wolfgang Lehner; Gregor Hackenbroich

2011-07-01T23:59:59.000Z

136

Calibrated Probabilistic Forecasting at the Stateline Wind Energy Center: The Regime-Switching  

E-Print Network (OSTI)

Calibrated Probabilistic Forecasting at the Stateline Wind Energy Center: The Regime at a wind energy site and fits a conditional predictive model for each regime. Geographically dispersed was applied to 2-hour-ahead forecasts of hourly average wind speed near the Stateline wind energy center

Genton, Marc G.

137

Evaluation of 33 Years of Quantitative Precipitation Forecasting at the NMC  

Science Conference Proceedings (OSTI)

The National Meteorological Center (NMC) initiated Quantitative Precipitation Forecasts (QPF) and an intensive QPF verification program in 1960. These forecast products have evolved from a manual effort, relying on extensive forecast experience ...

David A. Olson; Norman W. Junker; Brian Korty

1995-09-01T23:59:59.000Z

138

U.S. Energy Information Administration (EIA)  

U.S. Energy Information Administration (EIA)

Analysis & Projections. Monthly and yearly energy forecasts, analysis of energy topics, financial analysis, Congressional reports. Markets & ...

139

Consumption & Efficiency - U.S. Energy Information ...  

U.S. Energy Information Administration (EIA)

Analysis & Projections. Monthly and yearly energy forecasts, analysis of energy topics, financial analysis, Congressional reports. Markets & ...

140

Environment - Analysis & Projections - U.S. Energy ...  

U.S. Energy Information Administration (EIA)

Analysis & Projections. Monthly and yearly energy forecasts, analysis of energy topics, financial analysis, Congressional reports. Markets & ...

Note: This page contains sample records for the topic "yearly energy forecasts" 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

Electricity - Analysis & Projections - U.S. Energy ...  

U.S. Energy Information Administration (EIA)

Analysis & Projections. Monthly and yearly energy forecasts, analysis of energy topics, financial analysis, Congressional reports. Markets & ...

142

Electricity Monthly Update - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Analysis & Projections. Monthly and yearly energy forecasts, analysis of energy topics, financial analysis, Congressional reports. Markets & ...

143

Indonesia - Analysis - U.S. Energy Information ...  

U.S. Energy Information Administration (EIA)

Analysis & Projections. Monthly and yearly energy forecasts, analysis of energy topics, financial analysis, Congressional reports. Markets & ...

144

Analysis & Projections - U.S. Energy Information ...  

U.S. Energy Information Administration (EIA)

Analysis & Projections. Monthly and yearly energy forecasts, analysis of energy topics, financial analysis, Congressional reports. Markets & ...

145

Free World energy survey: historical overview and long-term forecast  

SciTech Connect

This report gives a historical overview of international energy markets from the 1950s to date, and an analysis of future energy prices, economic growth, and potential supply instabilities. Forecasts of energy demand by region and fuel type are provided.

1983-01-01T23:59:59.000Z

146

Solar Resource and Forecasting QuestionnaireSolar Resource and Forecasting QuestionnaireSolar Resource and Forecasting QuestionnaireSolar Resource and Forecasting Questionnaire As someone who is familiar with solar energy issues, we hope that you will tak  

E-Print Network (OSTI)

is familiar with solar energy issues, we hope that you will take a few moments to answer this short survey on your needs for information on solar energy resources and forecasting. This survey is conducted with the California Solar Energy Collaborative (CSEC) and the California Solar Initiative (CSI) our objective

Islam, M. Saif

147

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

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

Beyond "Partly Sunny": A Better Solar Forecast Beyond "Partly Sunny": A Better Solar Forecast Beyond "Partly Sunny": A Better Solar Forecast December 7, 2012 - 10:00am Addthis The Energy Department is investing in better solar forecasting techniques to improve the reliability and stability of solar power plants during periods of cloud coverage. | Photo by Dennis Schroeder/NREL. The Energy Department is investing in better solar forecasting techniques to improve the reliability and stability of solar power plants during periods of cloud coverage. | Photo by Dennis Schroeder/NREL. Minh Le Minh Le Program Manager, Solar Program What Do These Projects Do? The Energy Department is investing $8 million in two cutting-edge projects to increase the accuracy of solar forecasting at sub-hourly,

148

Texas Wind Energy Forecasting System Development and Testing: Phase 2: 12-Month Testing  

Science Conference Proceedings (OSTI)

Wind energy forecasting systems are expected to support system operation in cases where wind generation contributes more than a few percent of total generating capacity. This report presents final results from the Texas Wind Energy Forecasting System Development and Testing Project at a 75-MW wind project in west Texas.

2004-09-30T23:59:59.000Z

149

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

150

Calendar Year 2009 Program Benefits for ENERGY STAR Labeled Products  

Science Conference Proceedings (OSTI)

ENERGY STAR is a voluntary energy efficiency labeling program operated jointly by the Environmental Protection Agency (US EPA) and the U.S. Department of Energy (US DOE), designed to identify and promote energy-efficient products, buildings and practices. Since the program inception in 1992, ENERGY STAR has become a leading international brand for energy efficient products, and currently labels more than thirty products, spanning office equipment, heating, cooling and ventilation equipment, commercial and residential lighting, home electronics, and major appliances. ENERGY STAR's central role in the development of regional, national and international energy programs necessitates an open process whereby its program achievements to date as well as projected future savings are shared with stakeholders. This report presents savings estimates from the use ENERGY STAR labeled products. We present estimates of energy, dollar, and carbon savings achieved by the program in the year 2009, annual forecasts for 2010 and 2011, and cumulative savings estimates for the period 1993 through 2009 and cumulative forecasts for the period 2010 through 2015. Through 2009 the program saved 9.5 Quads of primary energy and avoided the equivalent of 170 million metric tons carbon (MMTC). The forecast for the period 2009-2015 is 11.5 Quads or primary energy saved and 202 MMTC emissions avoided. The sensitivity analysis bounds the best estimate of carbon avoided between 110 MMTC and 231 MMTC (1993 to 2009) and between 130 MMTC and 285 MMTC (2010 to 2015).

Homan, Gregory K; Sanchez, Marla C.; Brown, Richard E.

2010-11-15T23:59:59.000Z

151

Energy Forecasting in Volatile Times - U.S. Energy Information ...  

U.S. Energy Information Administration (EIA)

The U.S. Energy Information Administration (EIA) collects, analyzes, and disseminates independent and impartial energy information to promote sound policymaking ...

152

RECS 1997 - U.S. Energy Information Administration (EIA)  

U.S. Energy Information Administration (EIA)

Analysis & Projections. Monthly and yearly energy forecasts, analysis of energy topics, financial analysis, Congressional reports. Markets & ...

153

Nuclear & Uranium - Analysis & Projections - U.S. Energy ...  

U.S. Energy Information Administration (EIA)

Analysis & Projections. Monthly and yearly energy forecasts, analysis of energy topics, financial analysis, Congressional reports. Markets & ...

154

Petroleum & Other Liquids - U.S. Energy Information ...  

U.S. Energy Information Administration (EIA)

Analysis & Projections. Monthly and yearly energy forecasts, analysis of energy topics, financial analysis, Congressional reports. Markets & ...

155

Markets & Finance - Analysis & Projections - U.S. Energy ...  

U.S. Energy Information Administration (EIA)

Analysis & Projections. Monthly and yearly energy forecasts, analysis of energy topics, financial analysis, Congressional reports. Markets & ...

156

Natural Gas - Analysis & Projections - U.S. Energy ...  

U.S. Energy Information Administration (EIA)

Analysis & Projections. Monthly and yearly energy forecasts, analysis of energy topics, financial analysis, Congressional reports. Markets & ...

157

Countries - U.S. Energy Information Administration (EIA)  

U.S. Energy Information Administration (EIA)

Monthly and yearly energy forecasts, analysis of energy topics, financial analysis, Congressional reports. Markets & Finance.

158

U.S. Energy Information Administration - EIA - Independent ...  

U.S. Energy Information Administration (EIA)

Analysis & Projections. Monthly and yearly energy forecasts, analysis of energy topics, financial analysis, Congressional reports. Markets & ...

159

July 2003ENERGY POLICIES AND THEIR CONSEQUENCES AFTER 25 YEARS  

E-Print Network (OSTI)

Hans Landsberg and Sam Schurr each led research teams that produced two important energy futures policy studies that were published in 1979. The conclusions, policy recommendations, and energy demand, supply, and price forecasts contained in these studies are reviewed. Developments in U.S. energy policy over the last 25 years are discussed and compared with the recommendations contained in the two studies. The projections of energy demand, supply, and prices for 2000 contained in the studies is presented and compared to actual realizations. The nature, magnitudes, and reasons for the differences between the studies forecasts and what actually emerged 25 years later are discussed. All things considered, the Landsberg and Schurr studies have stood the test of time very well. 1

Paul L. Joskow; Paul L. Joskow

2003-01-01T23:59:59.000Z

160

Economic Impacts of Advanced Weather Forecasting on Energy ...  

E-Print Network (OSTI)

Mar 5, 2010 ... Abstract: We analyze the impacts of adopting advanced weather forecasting systems at different levels of the decision-making hierarchy of the...

Note: This page contains sample records for the topic "yearly energy forecasts" 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

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

162

Federal Energy Management Year 2001 In Review  

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

FEDERAL ENERGY MANAGEMENT YEAR IN REVIEW 2001 United States Department of Energy Office of Energy Efficiency and Renewable Energy Federal Energy Management Program YEAR IN REVIEW...

163

Wind Energy Forecasting: A Collaboration of the National Center for Atmospheric Research (NCAR) and Xcel Energy  

DOE Green Energy (OSTI)

The focus of this report is the wind forecasting system developed during this contract period with results of performance through the end of 2010. The report is intentionally high-level, with technical details disseminated at various conferences and academic papers. At the end of 2010, Xcel Energy managed the output of 3372 megawatts of installed wind energy. The wind plants span three operating companies1, serving customers in eight states2, and three market structures3. The great majority of the wind energy is contracted through power purchase agreements (PPAs). The remainder is utility owned, Qualifying Facilities (QF), distributed resources (i.e., 'behind the meter'), or merchant entities within Xcel Energy's Balancing Authority footprints. Regardless of the contractual or ownership arrangements, the output of the wind energy is balanced by Xcel Energy's generation resources that include fossil, nuclear, and hydro based facilities that are owned or contracted via PPAs. These facilities are committed and dispatched or bid into day-ahead and real-time markets by Xcel Energy's Commercial Operations department. Wind energy complicates the short and long-term planning goals of least-cost, reliable operations. Due to the uncertainty of wind energy production, inherent suboptimal commitment and dispatch associated with imperfect wind forecasts drives up costs. For example, a gas combined cycle unit may be turned on, or committed, in anticipation of low winds. The reality is winds stayed high, forcing this unit and others to run, or be dispatched, to sub-optimal loading positions. In addition, commitment decisions are frequently irreversible due to minimum up and down time constraints. That is, a dispatcher lives with inefficient decisions made in prior periods. In general, uncertainty contributes to conservative operations - committing more units and keeping them on longer than may have been necessary for purposes of maintaining reliability. The downside is costs are higher. In organized electricity markets, units that are committed for reliability reasons are paid their offer price even when prevailing market prices are lower. Often, these uplift charges are allocated to market participants that caused the inefficient dispatch in the first place. Thus, wind energy facilities are burdened with their share of costs proportional to their forecast errors. For Xcel Energy, wind energy uncertainty costs manifest depending on specific market structures. In the Public Service of Colorado (PSCo), inefficient commitment and dispatch caused by wind uncertainty increases fuel costs. Wind resources participating in the Midwest Independent System Operator (MISO) footprint make substantial payments in the real-time markets to true-up their day-ahead positions and are additionally burdened with deviation charges called a Revenue Sufficiency Guarantee (RSG) to cover out of market costs associated with operations. Southwest Public Service (SPS) wind plants cause both commitment inefficiencies and are charged Southwest Power Pool (SPP) imbalance payments due to wind uncertainty and variability. Wind energy forecasting helps mitigate these costs. Wind integration studies for the PSCo and Northern States Power (NSP) operating companies have projected increasing costs as more wind is installed on the system due to forecast error. It follows that reducing forecast error would reduce these costs. This is echoed by large scale studies in neighboring regions and states that have recommended adoption of state-of-the-art wind forecasting tools in day-ahead and real-time planning and operations. Further, Xcel Energy concluded reduction of the normalized mean absolute error by one percent would have reduced costs in 2008 by over $1 million annually in PSCo alone. The value of reducing forecast error prompted Xcel Energy to make substantial investments in wind energy forecasting research and development.

Parks, K.; Wan, Y. H.; Wiener, G.; Liu, Y.

2011-10-01T23:59:59.000Z

164

CALIFORNIA ENERGY DEMAND 2008-2018 STAFF DRAFT FORECAST  

E-Print Network (OSTI)

Policy Report, over the entire forecast period, primarily because both weather-adjusted peak and commercial sectors. Keywords Electricity demand, electricity consumption, demand forecast, weather normalization, annual peak demand, natural gas demand, self-generation, California Solar Initiative. #12;ii #12

165

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

Open Energy Info (EERE)

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

166

High Horizontal and Vertical Resolution Limited-Area Model: Near-Surface and Wind Energy Forecast Applications  

Science Conference Proceedings (OSTI)

As harvesting of wind energy grows, so does the need for improved forecasts from the surface to the top of wind turbines. To improve mesoscale forecasts of wind, temperature, and dewpoint temperature in this layer, two different approaches are ...

Natacha B. Bernier; Stphane Blair

2012-06-01T23:59:59.000Z

167

Calendar Year 2007 Program Benefits for ENERGY STAR Labeled Products  

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

ENERGY STAR Labeled Products ENERGY STAR Labeled Products Title Calendar Year 2007 Program Benefits for ENERGY STAR Labeled Products Publication Type Journal Article LBNL Report Number LBNL-1217E Year of Publication 2008 Authors Sanchez, Marla C., Gregory K. Homan, and Richard E. Brown Date Published 10/2008 Publisher Lawrence Berkeley National Laboratory ISBN Number LBNL-1217E Keywords Enduse, Energy End-Use Forecasting, EUF Abstract ENERGY STAR is a voluntary energy efficiency-labeling program operated jointly by the United States Department of Energy and the United States Environmental Protection Agency (US EPA). Since the program inception in 1992, ENERGY STAR has become a leading international brand for energy efficient products. ENERGY STAR's central role in the development of regional, national, and international energy programs necessitates an open process whereby its program achievements to date as well as projected future savings are shared with committed stakeholders. Through 2007, the program saved 7.1 Quads of primary energy and avoided 128 MtC equivalent. The forecast shows that the program is expected to save 21.2 Quads of primary energy and avoid 375 MtC equivalent over the period 2008-2015. The sensitivity analysis bounds the best estimate of carbon avoided between 84 MtC and 172 MtC (1993 to 2007) and between 243 MtC and 519 MtC (2008 to 2015).

168

A-Z Index - U.S. Energy Information Administration (EIA)  

U.S. Energy Information Administration (EIA)

Analysis & Projections. Monthly and yearly energy forecasts, analysis of energy topics, financial analysis, Congressional reports. Markets & ...

169

European Union Wind Energy Forecasting Model Development and Testing: U.S. Department of Energy -- EPRI Wind Turbine Verification Pr ogram  

Science Conference Proceedings (OSTI)

Wind forecasting can increase the strategic and market values of wind power from large wind facilities. This report summarizes the results of the European Union (EU) wind energy forecasting project and performance testing of the EU wind forecasting model. The testing compared forecast and observed wind speed and generation data from U.S. wind facilities.

1999-12-15T23:59:59.000Z

170

Federal Energy Management Year in Review 2002  

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

FEDERAL ENERGY MANAGEMENT FEDERAL ENERGY MANAGEMENT YEAR IN REVIEW 2002 United States Department of Energy Office of Energy Efficiency and Renewable Energy Federal Energy...

171

Wind Speeds at Heights Crucial for Wind Energy: Measurements and Verification of Forecasts  

Science Conference Proceedings (OSTI)

Wind speed measurements from one year from meteorological towers and wind turbines at heights between 20 and 250 m for various European sites are analyzed and are compared with operational short-term forecasts of the global ECMWF model. The ...

Susanne Drechsel; Georg J. Mayr; Jakob W. Messner; Reto Stauffer

2012-09-01T23:59:59.000Z

172

Assessing the Impact of Different Satellite Retrieval Methods on Forecast Available Potential Energy  

Science Conference Proceedings (OSTI)

The isentropic form for available potential energy (APE) is used to analyze the impact of the inclusion of satellite temperature retrieval data on forecasts made with the NASA Goddard Laboratory for Atmospheres (GLA) fourth order model. Two ...

Linda M. Whittaker; Lyle H. Horn

1990-01-01T23:59:59.000Z

173

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

174

Building Energy Software Tools Directory : Weather Year for Energy...  

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

Year for Energy Calculations 2 Back to Tool Screenshot for Weather Year for Energy Calculations 2...

175

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

176

Calendar Year 2008 Program Benefits for ENERGY STAR Labeled Products  

SciTech Connect

This paper presents current and projected savings for ENERGY STAR labeled products, and details the status of the model as implemented in the September 2009 spreadsheets. ENERGY STAR is a voluntary energy efficiency labeling program operated jointly by the Environmental Protection Agency (US EPA) and the U.S. Department of Energy (US DOE), designed to identify and promote energy-efficient products, buildings and practices. Since the program inception in 1992, ENERGY STAR has become a leading international brand for energy efficient products, and currently labels more than thirty products, spanning office equipment, heating, cooling and ventilation equipment, commercial and residential lighting, home electronics, and major appliances. ENERGY STAR's central role in the development of regional, national and international energy programs necessitates an open process whereby its program achievements to date as well as projected future savings are shared with stakeholders. This report presents savings estimates for ENERGY STAR labeled products. We present estimates of energy, dollar, and carbon savings achieved by the program in the year 2008, annual forecasts for 2009 and 2010, and cumulative savings estimates for the period 1993 through 2008 and cumulative forecasts for the period 2009 through 2015. Through 2008 the program saved 8.8 Quads of primary energy and avoided the equivalent of 158 metric tones carbon (MtC). The forecast for the period 2009-2015 is 18.1 Quads or primary energy saved and 316 MtC emissions avoided. The sensitivity analysis bounds the best estimate of carbon avoided between 104 MtC and 213 MtC (1993 to 2008) and between 206 MtC and 444 MtC (2009 to 2015). In this report we address the following questions for ENERGY STAR labeled products: (1) How are ENERGY STAR impacts quantified; (2) What are the ENERGY STAR achievements; and (3) What are the limitations to our method?

Homan, GregoryK; Sanchez, Marla; Brown, RichardE; Lai, Judy

2010-08-24T23:59:59.000Z

177

Calendar Year 2008 Program Benefits for ENERGY STAR Labeled Products  

SciTech Connect

This paper presents current and projected savings for ENERGY STAR labeled products, and details the status of the model as implemented in the September 2009 spreadsheets. ENERGY STAR is a voluntary energy efficiency labeling program operated jointly by the Environmental Protection Agency (US EPA) and the U.S. Department of Energy (US DOE), designed to identify and promote energy-efficient products, buildings and practices. Since the program inception in 1992, ENERGY STAR has become a leading international brand for energy efficient products, and currently labels more than thirty products, spanning office equipment, heating, cooling and ventilation equipment, commercial and residential lighting, home electronics, and major appliances. ENERGY STAR's central role in the development of regional, national and international energy programs necessitates an open process whereby its program achievements to date as well as projected future savings are shared with stakeholders. This report presents savings estimates for ENERGY STAR labeled products. We present estimates of energy, dollar, and carbon savings achieved by the program in the year 2008, annual forecasts for 2009 and 2010, and cumulative savings estimates for the period 1993 through 2008 and cumulative forecasts for the period 2009 through 2015. Through 2008 the program saved 8.8 Quads of primary energy and avoided the equivalent of 158 metric tones carbon (MtC). The forecast for the period 2009-2015 is 18.1 Quads or primary energy saved and 316 MtC emissions avoided. The sensitivity analysis bounds the best estimate of carbon avoided between 104 MtC and 213 MtC (1993 to 2008) and between 206 MtC and 444 MtC (2009 to 2015). In this report we address the following questions for ENERGY STAR labeled products: (1) How are ENERGY STAR impacts quantified; (2) What are the ENERGY STAR achievements; and (3) What are the limitations to our method?

Homan, GregoryK; Sanchez, Marla; Brown, RichardE; Lai, Judy

2010-08-24T23:59:59.000Z

178

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

179

On-line economic optimization of energy systems using weather forecast information.  

Science Conference Proceedings (OSTI)

We establish an on-line optimization framework to exploit weather forecast information in the operation of energy systems. We argue that anticipating the weather conditions can lead to more proactive and cost-effective operations. The framework is based on the solution of a stochastic dynamic real-time optimization (D-RTO) problem incorporating forecasts generated from a state-of-the-art weather prediction model. The necessary uncertainty information is extracted from the weather model using an ensemble approach. The accuracy of the forecast trends and uncertainty bounds are validated using real meteorological data. We present a numerical simulation study in a building system to demonstrate the developments.

Zavala, V. M.; Constantinescu, E. M.; Krause, T.; Anitescu, M.

2009-01-01T23:59:59.000Z

180

Evaluation of Atmospheric Fields from the ECMWF Seasonal Forecasts over a 15-Year Period  

Science Conference Proceedings (OSTI)

Since 1997, the European Centre for Medium-Range Weather Forecasts (ECMWF) has made seasonal forecasts with ensembles of a coupled oceanatmosphere model, System-1 (S1). In January 2002, a new version, System-2 (S2), was introduced. For the ...

Geert Jan van Oldenborgh; Magdalena A. Balmaseda; Laura Ferranti; Timothy N. Stockdale; David L. T. Anderson

2005-08-01T23:59:59.000Z

Note: This page contains sample records for the topic "yearly energy forecasts" 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

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

Open Energy Info (EERE)

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

182

U.S. Department of Energy Workshop Report: Solar Resources and Forecasting  

DOE Green Energy (OSTI)

This report summarizes the technical presentations, outlines the core research recommendations, and augments the information of the Solar Resources and Forecasting Workshop held June 20-22, 2011, in Golden, Colorado. The workshop brought together notable specialists in atmospheric science, solar resource assessment, solar energy conversion, and various stakeholders from industry and academia to review recent developments and provide input for planning future research in solar resource characterization, including measurement, modeling, and forecasting.

Stoffel, T.

2012-06-01T23:59:59.000Z

183

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

E-Print Network (OSTI)

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

Paris-Sud XI, Université de

184

Forecasting multi-appliance usage for smart home energy management  

Science Conference Proceedings (OSTI)

We address the problem of forecasting the usage of multiple electrical appliances by domestic users, with the aim of providing suggestions about the best time to run appliances in order to reduce carbon emissions and save money (assuming time-of-use ...

Ngoc Cuong Truong, James McInerney, Long Tran-Thanh, Enrico Costanza, Sarvapali D. Ramchurn

2013-08-01T23:59:59.000Z

185

Geothermal: Sponsored by OSTI -- Consensus forecast of U. S....  

Office of Scientific and Technical Information (OSTI)

GEOTHERMAL TECHNOLOGIES LEGACY COLLECTION - Sponsored by OSTI -- Consensus forecast of U. S. energy supply and demand to the year 2000 Geothermal Technologies Legacy Collection...

186

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

187

Office of Energy Efficiency and Renewable Energy Fiscal Year...  

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

Office of Energy Efficiency and Renewable Energy Fiscal Year 2014 Budget Rollout - Renewable Electricity Generation Office of Energy Efficiency and Renewable Energy Fiscal Year...

188

Office of Energy Efficiency and Renewable Energy Fiscal Year...  

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

Office of Energy Efficiency and Renewable Energy Fiscal Year 2014 Budget Rollout - Sustainable Transportation Office of Energy Efficiency and Renewable Energy Fiscal Year 2014...

189

Model Output Statistics Forecasts: Three Years of Operational Experience in the Netherlands  

Science Conference Proceedings (OSTI)

In the Netherlands, one to five day Model Output Statistics (MOS) forecasts have been used operationally since November 1983. The weather elements predicted are the probability of precipitation, the conditional probability of frozen precipitation,...

C. Lemcke; S. Kruizinga

1988-05-01T23:59:59.000Z

190

European Wind Energy Conference & Exhibition EWEC 2003, Madrid, Spain. Forecasting of Regional Wind Generation by a Dynamic  

E-Print Network (OSTI)

European Wind Energy Conference & Exhibition EWEC 2003, Madrid, Spain. Forecasting of Regional Wind forecasting. I. INTRODUCTION HE actual large-scale integration of wind energy in several European countries enhance the position of wind energy compared to other dispatchable forms of generation. Predicting

Paris-Sud XI, Université de

191

NREL: Power Technologies Energy Data Book - Chapter 4. Forecasts...  

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

Databook Home More Search Options Search Site Map Featured Links Biomass Energy Data Book Buildings Energy Data Book Hydrogen Energy Data Book Transportation Energy Data Book...

192

Survey and forecast of marketplace supply and demand for energy- efficient lighting products  

SciTech Connect

The rapid growth in demand for energy-efficient lighting products has led to supply shortages for certain products. To understand the near-term (1- to 5-year) market for energy-efficient lighting products, a selected set of utilities and lighting product manufacturers were surveyed in early 1991. Two major U. S. government programs, EPA's Green Lights and DOE's Federal Relighting Initiative, were also examined to assess their effect on product demand. Lighting product manufacturers predicted significant growth through 1995. Lamp manufacturers indicated that compact fluorescent lamp shipments tripled between 1988 and 1991, and predicted that shipments would again triple, rising from 25 million units in 1991 to 72 million units in 1995. Ballast manufacturers predicted that demand for power-factorcorrected ballasts (both magnetic and electronic) would grow from 59.4 million units in 1991 to 71.1 million units in 1995. Electronic ballasts were predicted to grow from 11% of ballast demand in 1991 to 40% in 1995. Manufacturers projected that electronic ballast supply shortages would continue until late 1992. Lamp and ballast producers indicated that they had difficulty in determining what additional supply requirements might result due to demand created by utility programs. Using forecasts from 27 surveyed utilities and assumptions regarding the growth of U. S. utility lighting DSM programs, low, median, and high forecasts were developed for utility expenditures for lighting incentives through 1994. The projected median figure for 1992 was $316 million, while for 1994, the projected median figure was $547 million. The allocation of incentive dollars to various products and the number of units needed to meet utility-stimulated demand were also projected. To provide a better connection between future supply and demand, a common database is needed that captures detailed DSM program information including incentive dollars and unit-volume mix by product type.

Gough, A. (Lighting Research Inst., New York, NY (United States)); Blevins, R. (Plexus Research, Inc., Donegal, PA (United States))

1992-12-01T23:59:59.000Z

193

Glossary - U.S. Energy Information Administration (EIA)  

U.S. Energy Information Administration (EIA)

Monthly and yearly energy forecasts, analysis of energy topics, financial analysis, Congressional reports. Markets & Finance. ... State Energy Data System ...

194

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

195

California Wind Energy Forecasting Program Description and Status - 2000: California Energy Commission--EPRI Wind Energy Forecasting Program  

Science Conference Proceedings (OSTI)

The modern era of wind power began in the early 1980s when the first large installations of modern wind turbines were installed in California. The industry has grown rapidly in recent years and, at the end of 1999, the total installed wind capacity was 13.4 gigawatts (GW) worldwide and 2.5 GW in the U.S., of which about 1.6 GW is operating in California. Deregulation of the California electricity markets in 1998 created a challenge for the California investor-owned utilitiies and the owners and operators...

2000-12-18T23:59:59.000Z

196

Energy estimator for weather forecasts dynamic power management of wireless sensor networks  

Science Conference Proceedings (OSTI)

Emerging Wireless Sensor Networks (WSN) consist of spatially distributed autonomous sensors. Although an embedded battery has limited autonomy, most WSNs outperform this drawback by harvesting ambient energy from the environment. Nevertheless, this external ... Keywords: design tools, dynamic power management, weather forecasts, wireless sensor networks

Nicolas Ferry; Sylvain Ducloyer; Nathalie Julien; Dominique Jutel

2011-09-01T23:59:59.000Z

197

Properties of energy-price forecasts for scheduling  

Science Conference Proceedings (OSTI)

Wholesale electricity markets are becoming ubiquitous, offering consumers access to competitively-priced energy. The cost of energy is often correlated with its environmental impact; for example, environmentally sustainable forms of energy might benefit ...

Georgiana Ifrim; Barry O'Sullivan; Helmut Simonis

2012-10-01T23:59:59.000Z

198

Optimized renewable energy forecasting in local distribution networks  

Science Conference Proceedings (OSTI)

The integration of renewable energy sources (RES) into local energy distribution networks becomes increasingly important. Renewable energy highly depends on weather conditions, making it difficult to maintain stability in such networks. To still enable ...

Robert Ulbricht; Ulrike Fischer; Wolfgang Lehner; Hilko Donker

2013-03-01T23:59:59.000Z

199

Short and Long-Term Perspectives: The Impact on Low-Income Consumers of Forecasted Energy Price Increases in 2008 and A Cap & Trade Carbon Policy in 2030  

SciTech Connect

The Department of Energy's Energy Information Administration (EIA) recently released its short-term forecast for residential energy prices for the winter of 2007-2008. The forecast indicates increases in costs for low-income consumers in the year ahead, particularly for those using fuel oil to heat their homes. In the following analysis, the Oak Ridge National Laboratory has integrated the EIA price projections with the Residential Energy Consumption Survey (RECS) for 2001 in order to project the impact of these price increases on the nation's low-income households by primary heating fuel type, nationally and by Census Region. The report provides an update of bill estimates provided in a previous study, "The Impact Of Forecasted Energy Price Increases On Low-Income Consumers" (Eisenberg, 2005). The statistics are intended for use by policymakers in the Department of Energy's Weatherization Assistance Program and elsewhere who are trying to gauge the nature and severity of the problems that will be faced by eligible low-income households during the 2008 fiscal year. In addition to providing expenditure forecasts for the year immediately ahead, this analysis uses a similar methodology to give policy makers some insight into one of the major policy debates that will impact low-income energy expenditures well into the middle decades of this century and beyond. There is now considerable discussion of employing a cap-and-trade mechanism to first limit and then reduce U.S. emissions of carbon into the atmosphere in order to combat the long-range threat of human-induced climate change. The Energy Information Administration has provided an analysis of projected energy prices in the years 2020 and 2030 for one such cap-and-trade carbon reduction proposal that, when integrated with the RECS 2001 database, provides estimates of how low-income households will be impacted over the long term by such a carbon reduction policy.

Eisenberg, Joel Fred [ORNL

2008-01-01T23:59:59.000Z

200

Office of Energy Efficiency and Renewable Energy Fiscal Year...  

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

Energy Saving Homes, Buildings, and Manufacturing Office of Energy Efficiency and Renewable Energy Fiscal Year 2014 Budget Rollout - Energy Saving Homes, Buildings, and...

Note: This page contains sample records for the topic "yearly energy forecasts" 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

U.S. Energy Information Administration (EIA)  

U.S. Energy Information Administration (EIA)

Monthly and yearly energy forecasts, analysis of energy topics, financial analysis, Congressional reports. Markets & Finance. ... Job Seekers Policy Analysts ...

202

Year to Date Energy Performance  

Science Conference Proceedings (OSTI)

... Exports occur when the electrical energy produced by the solar photovoltaic array exceeds the energy consumed by the NZERTF. ...

2013-09-19T23:59:59.000Z

203

Short-Term Energy Outlook - U.S. Energy Information Administration ...  

U.S. Energy Information Administration (EIA)

Monthly and yearly energy forecasts, analysis of energy topics, financial analysis, Congressional reports. Markets & Finance. ... Market-Derived Probabilities: ...

204

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

SciTech Connect

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

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

1983-07-01T23:59:59.000Z

205

California Regional Wind Energy Forecasting System Development, Volume 2:  

Science Conference Proceedings (OSTI)

The rated capacity of wind generation in California is expected to grow rapidly in the future beyond the approximately 2100 MW in place at the end of 2005. The main drivers are the state's 20 percent renewable portfolio standard requirement in 2010 and the low cost of wind energy relative to other renewable energy sources.

2006-11-15T23:59:59.000Z

206

ENERGY STAR Partner of the Year Award | ENERGY STAR  

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

Partner of the Year profiles in leadership ENERGY STAR plant certification ENERGY STAR Challenge for Industry Success stories: Industrial energy management Market impacts:...

207

The Incremental Benefits of the Nearest Neighbor Forecast of U.S. Energy Commodity Prices  

E-Print Network (OSTI)

This thesis compares the simple Autoregressive (AR) model against the k- Nearest Neighbor (k-NN) model to make a point forecast of five energy commodity prices. Those commodities are natural gas, heating oil, gasoline, ethanol, and crude oil. The data for the commodities are monthly and, for each commodity, two-thirds of the data are used for an in-sample forecast, and the remaining one-third of the data are used to perform an out-of-sample forecast. Mean Absolute Error (MAE) and Root Mean Squared Error (RMSE) are used to compare the two forecasts. The results showed that one method is superior by one measure but inferior by another. Although the differences of the two models are minimal, it is up to a decision maker as to which model to choose. The Diebold-Mariano (DM) test was performed to test the relative accuracy of the models. For all five commodities, the results failed to reject the null hypothesis indicating that both models are equally accurate.

Kudoyan, Olga

2010-12-01T23:59:59.000Z

208

World Petroleum Supply/Demand Forecast - U.S. Energy ...  

U.S. Energy Information Administration (EIA)

With the major problem being price, what does EIA expect for the rest of this year? After two relatively mild winters with growing crude oil supplies and the Asian ...

209

Short-Term Energy Carbon Dioxide Emissions Forecasts August 2009  

Reports and Publications (EIA)

Supplement to the Short-Term Energy Outlook. Short-term projections for U.S. carbon dioxide emissions of the three fossil fuels: coal, natural gas, and petroleum.

Information Center

2009-08-11T23:59:59.000Z

210

Growth Diagnostics for Dark Energy models and EUCLID forecast  

E-Print Network (OSTI)

In this work we introduce a new set of parameters $(r_{g}, s_{g})$ involving the linear growth of matter perturbation that can distinguish and constrain different dark energy models very efficiently. Interestingly, for $\\Lambda$CDM model these parameters take exact value $(1,1)$ at all red shifts whereas for models different from $\\Lambda$CDM, they follow different trajectories in the $(r_{g}, s_{g})$ phase plane. By considering the parametrization for the dark energy equation of state ($w$) and for the linear growth rate ($f_{g}$), we show that different dark energy behaviours with similar evolution of the linear density contrast, can produce distinguishable trajectories in the $(r_{g}, s_{g})$ phase plane. Moreover, one can put stringent constraint on these phase plane using future measurements like EUCLID ruling out some of the dark energy behaviours.

Sampurnanand; Anjan A. Sen

2013-01-06T23:59:59.000Z

211

Hawaii Energy Strategy: Program guide. [Contains special sections on analytical energy forecasting, renewable energy resource assessment, demand-side energy management, energy vulnerability assessment, and energy strategy integration  

SciTech Connect

The Hawaii Energy Strategy program, or HES, is a set of seven projects which will produce an integrated energy strategy for the State of Hawaii. It will include a comprehensive energy vulnerability assessment with recommended courses of action to decrease Hawaii's energy vulnerability and to better prepare for an effective response to any energy emergency or supply disruption. The seven projects are designed to increase understanding of Hawaii's energy situation and to produce recommendations to achieve the State energy objectives of: Dependable, efficient, and economical state-wide energy systems capable of supporting the needs of the people, and increased energy self-sufficiency. The seven projects under the Hawaii Energy Strategy program include: Project 1: Develop Analytical Energy Forecasting Model for the State of Hawaii. Project 2: Fossil Energy Review and Analysis. Project 3: Renewable Energy Resource Assessment and Development Program. Project 4: Demand-Side Management Program. Project 5: Transportation Energy Strategy. Project 6: Energy Vulnerability Assessment Report and Contingency Planning. Project 7: Energy Strategy Integration and Evaluation System.

1992-09-01T23:59:59.000Z

212

Building Energy Software Tools Directory: Weather Year for Energy...  

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

Calculations 2 Weather Year for Energy Calculations 2 logo. Contains typical year hourly weather data for 77 locations in the United States and Canada. The Weather Year for Energy...

213

Energy Secretary Highlights One-Year Anniversary of the Energy...  

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

Highlights One-Year Anniversary of the Energy Policy Act of 2005 at Iowa Wind Turbine Facility Energy Secretary Highlights One-Year Anniversary of the Energy Policy Act of 2005 at...

214

Exploiting weather forecasts for sizing photovoltaic energy bids  

E-Print Network (OSTI)

a stochastic model for PV power generation and a model for the electricity market with financial penalties, we temperature, change remarkably over the year. As a consequence, PV power generation cannot be modelled, without having to resort to complex time-varying stochastic models of PV pow

Giannitrapani, Antonello

215

SOLAR IRRADIANCE FORECASTING FOR THE MANAGEMENT OF SOLAR ENERGY SYSTEMS  

E-Print Network (OSTI)

on the fluctuating wind and solar resources an indispensable necessity. Any efficient imple- mentation of wind-alone photovoltaic or wind energy systems, control systems in buildings, control of solar thermal power plants time constants. For example, an operation of a PV-diesel system needs information in the very short

Heinemann, Detlev

216

CALIFORNIA ENERGY COMMISSION0 Annual Update to the Forecasted  

E-Print Network (OSTI)

CHP (onsite and wholesale) in California ­ accounts for the AB 32 mandates, RPS, and CPUC CHP Existing Renewable Generation In-State Renewable Energy · For all RPS-eligible generators, staff averaged the 2006-2011 QFER reported generation · In-state RPS-eligible with COD after 1/1/2011 and prior to 12

217

Calendar Year 2007 Program Benefits for U.S. EPA Energy Star...  

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

Laboratory City Berkeley, CA ISBN Number LBNL-2695E Keywords Enduse, Energy End-Use Forecasting, EUF Abstract Energy Star is a voluntary energy efficiency-labeling program...

218

Resolve to Save Energy This Year | Department of Energy  

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

Resolve to Save Energy This Year Resolve to Save Energy This Year Resolve to Save Energy This Year January 2, 2013 - 10:52am Addthis Looking for ways to save energy? Check out these tips that every homeowner should try. | Infographic by Sarah Gerrity, Energy Department. Looking for ways to save energy? Check out these tips that every homeowner should try. | Infographic by Sarah Gerrity, Energy Department. Rebecca Matulka Rebecca Matulka Digital Communications Specialist, Office of Public Affairs Looking for more ways to save energy? Check out Energy Saver for tips that save energy and money. At the beginning of every new year, millions of Americans make New Year's resolutions, which inevitably are forgotten by the end of January. This year, forget making a New Year's resolution. Instead make a home energy

219

Resolve to Save Energy This Year | Department of Energy  

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

Resolve to Save Energy This Year Resolve to Save Energy This Year Resolve to Save Energy This Year January 2, 2014 - 8:50am Addthis Looking for ways to save energy? Check out these tips that every homeowner should try. | Infographic by Sarah Gerrity, Energy Department. Updated January 2, 2014. Looking for ways to save energy? Check out these tips that every homeowner should try. | Infographic by Sarah Gerrity, Energy Department. Updated January 2, 2014. Rebecca Matulka Rebecca Matulka Digital Communications Specialist, Office of Public Affairs Looking for more ways to save energy? Check out Energy Saver for tips that save energy and money. Editor's Note: It's a new year, and that means new resolutions. Whether this is the first year you're looking for ways to save energy or you want to lower your energy bills even more than last year, check out our eight

220

A customisable downscaling approach for local-scale meteorological and air pollution forecasting: Performance evaluation for a year of urban meteorological forecasts  

Science Conference Proceedings (OSTI)

In this paper we develop a customisable downscaling approach for local-scale air quality and meteorological forecasting applications, using The Air Pollution Model (TAPM) with the Conformal Cubic Atmospheric Model (CCAM). The CCAM-TAPM system allows ... Keywords: Air pollution modelling, Meteorological modelling, Verification studies

M. Thatcher; P. Hurley

2010-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "yearly energy forecasts" 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

On model selection forecasting, Dark Energy and modified gravity  

E-Print Network (OSTI)

The Fisher matrix approach (Fisher 1935) allows one to calculate in advance how well a given experiment will be able to estimate model parameters, and has been an invaluable tool in experimental design. In the same spirit, we present here a method to predict how well a given experiment can distinguish between different models, regardless of their parameters. From a Bayesian viewpoint, this involves computation of the Bayesian evidence. In this paper, we generalise the Fisher matrix approach from the context of parameter fitting to that of model testing, and show how the expected evidence can be computed under the same simplifying assumption of a gaussian likelihood as the Fisher matrix approach for parameter estimation. With this `Laplace approximation' all that is needed to compute the expected evidence is the Fisher matrix itself. We illustrate the method with a study of how well upcoming and planned experiments should perform at distinguishing between Dark Energy models and modified gravity theories. In particular we consider the combination of 3D weak lensing, for which planned and proposed wide-field multi-band imaging surveys will provide suitable data, and probes of the expansion history of the Universe, such as proposed supernova and baryonic acoustic oscillations surveys. We find that proposed large-scale weak lensing surveys from space should be able readily to distinguish General Relativity from modified gravity models.

A. F. Heavens; T. D. Kitching; L. Verde

2007-03-08T23:59:59.000Z

222

CSUF Economic Outlook and Forecasts MidYear Update -April 2013  

E-Print Network (OSTI)

during this year, boosted primarily by steady consumption, robust motor vehicle sales, continued business to be more restrained in the rst half of the year (mostly because of reduced spending due to tax increases and higher gasoline prices) and pick up more robustly in the second half of the year and beyond (bolstered

de Lijser, Peter

223

1993 Solid Waste Reference Forecast Summary  

SciTech Connect

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

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

1993-08-01T23:59:59.000Z

224

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

225

New Years Revolutions | Department of Energy  

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

New Years Revolutions New Years Revolutions New Years Revolutions January 3, 2012 - 9:42am Addthis Drew Bittner Web Manager, Office of Energy Efficiency and Renewable Energy Happy New Year to all you Energy Savers out there! Now that 2012 calendars are up and we (hopefully) remember to use '12 instead of '11 where necessary (does anyone write checks anymore?), it's time to think about the New Year's resolutions we made and are (hopefully again) still keeping. For instance... if you've been putting off getting an energy assessment of your home, why wait? Now is a good time to find out if you have cracks, leaks or other places where heat is escaping; you can start making your home more energy efficient today. Have you put off replacing your traditional light bulbs with energy efficient ones? Well, check out our page on lighting and get started! There

226

New Years Revolutions | Department of Energy  

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

Years Revolutions Years Revolutions New Years Revolutions January 3, 2012 - 9:42am Addthis Drew Bittner Web Manager, Office of Energy Efficiency and Renewable Energy Happy New Year to all you Energy Savers out there! Now that 2012 calendars are up and we (hopefully) remember to use '12 instead of '11 where necessary (does anyone write checks anymore?), it's time to think about the New Year's resolutions we made and are (hopefully again) still keeping. For instance... if you've been putting off getting an energy assessment of your home, why wait? Now is a good time to find out if you have cracks, leaks or other places where heat is escaping; you can start making your home more energy efficient today. Have you put off replacing your traditional light bulbs with energy efficient ones? Well, check out our page on lighting and get started! There

227

Property:EnergyAccessYearInitiated | Open Energy Information  

Open Energy Info (EERE)

EnergyAccessYearInitiated EnergyAccessYearInitiated Jump to: navigation, search Property Name EnergyAccessYearInitiated Property Type Date Description Year Initiated Pages using the property "EnergyAccessYearInitiated" Showing 10 pages using this property. B Benin: Increased Access to Modern Energy Project + 2009 + Burkina Faso Energy Access Project + 2007 + E Ethiopia Energy Access Project + 2005 + G Ghana Energy Development and Access Project (GEDAP) + 2007 + M Mongolia Renewable Energy and Rural Electricity Access Project + 2006 + P Papua New Guinea Improved Energy Access for Rural Communities + 2012 + R Republic of Yemen Energy Access Project + 2006 + S Sri Lanka Credit to Connect + 2011 + T Tanzania Energy Development and Access Expansion Project + 2007 + V Viet Nam Rural Electrification + 2009 +

228

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

229

CSUF Economic Outlook and Forecasts Mid-Year Update -April 2012  

E-Print Network (OSTI)

in the first half by higher energy prices and a "soft-landing" of emerging market economies. Developments these improvements, prices have continued to trend lower reflecting continued pressure from existing oversupply price index (CPI), which includes both food and energy prices rose by an average annualized pace of 3

de Lijser, Peter

230

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

231

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

232

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

233

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

234

International Energy Outlook 2013 - Energy Information ...  

U.S. Energy Information Administration (EIA)

Monthly and yearly energy forecasts, analysis of energy topics, financial analysis, ... International Energy Outlook 2013. Release Date: July 25, 2013 ...

235

Annual Energy Outlook 2013 - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Monthly and yearly energy forecasts, analysis of energy topics, financial analysis, ... Annual Energy Outlook 2013. Release Dates: April 15 - May 2, 2013 ...

236

Department of Energy Resource Assessment Program 5-year plan, FY 1991--FY 1995  

DOE Green Energy (OSTI)

The US Department of Energy's (DOE) Resource Assessment Program produces scientific descriptions and assessments of the nation's renewable energy resources, such as solar energy. Information about the resources --- for example, how solar energy varies with location and climate --- is required to develop energy conversion technologies, design and site systems, and forecast the systems' performance. With information about resource availability and renewable energy system performance, DOE can assess the potential for renewable energy to contribute to the nation's energy supply as part of the long-term national energy strategy. This 5-year plan for fiscal years (FY) 1991 through 1995 gives the strategy to produce solar radiation resource characterizations and assessments under the DOE project at SERI. It is consistent with the mini-multiyear plan for resource assessment prepared by DOE in 1989 and incorporates the comments received at a project overview held in April 1990 at DOE Headquarters. 7 figs.

Not Available

1990-10-01T23:59:59.000Z

237

Department of Energy Resource Assessment Program 5-year plan, FY 1991--FY 1995  

SciTech Connect

The US Department of Energy's (DOE) Resource Assessment Program produces scientific descriptions and assessments of the nation's renewable energy resources, such as solar energy. Information about the resources --- for example, how solar energy varies with location and climate --- is required to develop energy conversion technologies, design and site systems, and forecast the systems' performance. With information about resource availability and renewable energy system performance, DOE can assess the potential for renewable energy to contribute to the nation's energy supply as part of the long-term national energy strategy. This 5-year plan for fiscal years (FY) 1991 through 1995 gives the strategy to produce solar radiation resource characterizations and assessments under the DOE project at SERI. It is consistent with the mini-multiyear plan for resource assessment prepared by DOE in 1989 and incorporates the comments received at a project overview held in April 1990 at DOE Headquarters. 7 figs.

1990-10-01T23:59:59.000Z

238

Developing electricity forecast web tool for Kosovo market  

Science Conference Proceedings (OSTI)

In this paper is presented a web tool for electricity forecast for Kosovo market for the upcoming ten years. The input data i.e. electricity generation capacities, demand and consume are taken from the document "Kosovo Energy Strategy 2009-2018" compiled ... Keywords: .NET, database, electricity forecast, internet, simulation, web

Blerim Rexha; Arben Ahmeti; Lule Ahmedi; Vjollca Komoni

2011-02-01T23:59:59.000Z

239

Performance Profiles of Major Energy Producers - Energy ...  

U.S. Energy Information Administration (EIA)

Monthly and yearly energy forecasts, analysis of energy topics, financial analysis, Congressional reports. ... Statement of Income for U.S. & Foreign Downstream Gas:

240

Crude oil and alternate energy production forecasts for the twenty-first century: The end of the hydrocarbon era  

Science Conference Proceedings (OSTI)

Predictions of production rates and ultimate recovery of crude oil are needed for intelligent planning and timely action to ensure the continuous flow of energy required by the world`s increasing population and expanding economies. Crude oil will be able to supply increasing demand until peak world production is reached. The energy gap caused by declining conventional oil production must then be filled by expanding production of coal, heavy oil and oil shales, nuclear and hydroelectric power, and renewable energy sources (solar, wind, and geothermal). Declining oil production forecasts are based on current estimated ultimate recoverable conventional crude oil resources of 329 billion barrels for the United States and close to 3 trillion barrels for the world. Peak world crude oil production is forecast to occur in 2020 at 90 million barrels per day. Conventional crude oil production in the United States is forecast to terminate by about 2090, and world production will be close to exhaustion by 2100.

Edwards, J.D. [Univ. of Colorado, Boulder, CO (United States)

1997-08-01T23:59:59.000Z

Note: This page contains sample records for the topic "yearly energy forecasts" 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

Geothermal Energy Program Overview: Fiscal Year 1991  

DOE Green Energy (OSTI)

In FY 1990-1991, the Geothermal Energy Program made significant strides in hydrothermal, geopressured brine, hot dry rock, and magma research, continuing a 20-year tradition of advances in geothermal technology.

Not Available

1991-12-01T23:59:59.000Z

242

World Petroleum Supply/Demand Forecast - U.S. Energy Information ...  

U.S. Energy Information Administration (EIA)

... surplus supply over demand for spring and summer quarters compared with some other forecasters such as Oil Market Intelligence, ...

243

Fossil Energy Fiscal Year 2011 Budget Request | Department of Energy  

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

Energy Fiscal Year 2011 Budget Request Energy Fiscal Year 2011 Budget Request Fossil Energy Fiscal Year 2011 Budget Request March 17, 2010 - 1:12pm Addthis Mr. Chairman, Members of the Committee, it is my pleasure to appear before you today to present the Office of Fossil Energy's (FE) proposed Budget for Fiscal Year 2011 (FY 2011). The Office of Fossil Energy's primary objective is to ensure that we can continue to utilize our traditional fuel sources for clean, affordable, reliable energy. Fossil fuels are anticipated to play a critical role in meeting our Nation's future energy needs. Making use of the Nation's fossil fuel assets in an environmentally responsible manner will help the United States to meet its energy requirements, minimize detrimental environmental impacts, positively contribute to energy security and compete

244

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...

245

Calendar Year 2012 | Department of Energy  

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

November 15, 2012 November 15, 2012 Audit Report: OAS-FS-13-04 Department of Energy's Fiscal Year 2012 Consolidated Financial Statement November 15, 2012 Audit Report: OAS-FS-13-03 The Federal Energy Regulatory Commission's Fiscal Year 2012 Financial Statement Audit November 8, 2012 Evaluation Report: IG-0877 The Department's Unclassified Cyber Security Program - 2012 November 8, 2012 Examination Report: OAS-RA-13-04 The Department of Energy's American Recovery and Reinvestment Act Energy Efficiency and Conservation Block Grant Program - Efficiency Maine Trust November 7, 2012 Evaluation Report: OAS-L-13-01 The Federal Energy Regulatory Commission's Unclassified Cyber Security Program - 2012 November 6, 2012 Audit Report: IG-0876 The Department of Energy's Small Business Innovation Research and Small

246

Fossil Energy Fiscal Year 2012 Budget Request | Department of Energy  

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

Fiscal Year 2012 Budget Request Fiscal Year 2012 Budget Request Fossil Energy Fiscal Year 2012 Budget Request March 30, 2011 - 2:40pm Addthis Statement of Dr. Victor Der, Acting Assistant Secretary for Fossil Energy before the House Committee on Appropriations Subcommittee on Energy and Water Development. Mr. Chairman, Members of the Committee, it is my pleasure to appear before you today to present the Office of Fossil Energy's (FE) proposed Budget for Fiscal Year 2012. The Office of Fossil Energy's primary objective is to ensure that we can continue to utilize our traditional fuel sources for clean, affordable, reliable energy. Fossil fuels currently provide 83 percent of U.S. energy consumption and are expected to continue to play a critical role in meeting our Nation's energy needs for the foreseeable future. Making use of these

247

Win ENERGY STAR Partner of the Year | ENERGY STAR  

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

Win ENERGY STAR Partner of the Year Secondary menu About us Press room Contact Us Portfolio Manager Login Facility owners and managers Existing buildings Commercial new...

248

RAINSAT. A One Year Evaluation of a Bispectral Method for the Analysis and Short-Range Forecasting of Precipitation Areas  

Science Conference Proceedings (OSTI)

RAINSAT uses under data to calibrate GOES visible and infra data in terms of probability of rain. It produces probability of rain maps and 3 h forecast probability of rain maps by extrapolation.

Patrick King; Tsoi-Ching Yip; J. David Steenbergen

1989-06-01T23:59:59.000Z

249

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

250

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

251

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...

252

Building Energy Software Tools Directory: Weather Year for Energy  

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

Year for Energy Calculations 2 Year for Energy Calculations 2 Weather Year for Energy Calculations 2 logo. Contains typical year hourly weather data for 77 locations in the United States and Canada. The Weather Year for Energy Calculations 2 (WYEC2) format updates and replaces the earlier WYEC format weather data files and was developed specifically for use with building energy simulation programs. A manual for the WYEC2 weather files and the software toolkit for manipulating and viewing the data is provided. Create multiple reports using a software toolkit on the CD-ROM. WYEC2 weather files consist of 8760 or 8784 identical fixed format records, one for each hour of a 365 or 366 day year. Each record is 116 characters in length. The WYEC2 format is derived from the NOAA TD 9734 Typical Meteorological

253

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

254

Save Energy at This Year's Family Reunion | Department of Energy  

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

Energy at This Year's Family Reunion Energy at This Year's Family Reunion Save Energy at This Year's Family Reunion July 31, 2013 - 10:39am Addthis With a little planning, your family reunion can be both fun and energy-efficient this year. | Photo courtesy of ©iStockphoto/RonTech2000 With a little planning, your family reunion can be both fun and energy-efficient this year. | Photo courtesy of ©iStockphoto/RonTech2000 Christina Stowers Communications Specialist in the Office of Weatherization and Intergovernmental Program How can I participate? Limit the cooking and disposable dishware for an energy-efficient family reunion. Lately I've been hearing a lot of friends and colleagues talking about attending family reunions, and as it turns out, July is National Family Reunion Month (although some commercial enterprises celebrate it in

255

Save Energy at This Year's Family Reunion | Department of Energy  

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

Save Energy at This Year's Family Reunion Save Energy at This Year's Family Reunion Save Energy at This Year's Family Reunion July 31, 2013 - 10:39am Addthis With a little planning, your family reunion can be both fun and energy-efficient this year. | Photo courtesy of ©iStockphoto/RonTech2000 With a little planning, your family reunion can be both fun and energy-efficient this year. | Photo courtesy of ©iStockphoto/RonTech2000 Christina Stowers Communications Specialist in the Office of Weatherization and Intergovernmental Program How can I participate? Limit the cooking and disposable dishware for an energy-efficient family reunion. Lately I've been hearing a lot of friends and colleagues talking about attending family reunions, and as it turns out, July is National Family Reunion Month (although some commercial enterprises celebrate it in

256

U.S. Energy Information Administration (EIA)  

U.S. Energy Information Administration (EIA)

Monthly and yearly energy forecasts, analysis of energy topics, ... International Energy Outlook 2013. Release Date: July 25, 2013 | Next Release Date: ...

257

PRIOR FLARING AS A COMPLEMENT TO FREE MAGNETIC ENERGY FOR FORECASTING SOLAR ERUPTIONS  

Science Conference Proceedings (OSTI)

From a large database of (1) 40,000 SOHO/MDI line-of-sight magnetograms covering the passage of 1300 sunspot active regions across the 30 Degree-Sign radius central disk of the Sun, (2) a proxy of each active region's free magnetic energy measured from each of the active region's central-disk-passage magnetograms, and (3) each active region's full-disk-passage history of production of major flares and fast coronal mass ejections (CMEs), we find new statistical evidence that (1) there are aspects of an active region's magnetic field other than the free energy that are strong determinants of the active region's productivity of major flares and fast CMEs in the coming few days; (2) an active region's recent productivity of major flares, in addition to reflecting the amount of free energy in the active region, also reflects these other determinants of coming productivity of major eruptions; and (3) consequently, the knowledge of whether an active region has recently had a major flare, used in combination with the active region's free-energy proxy measured from a magnetogram, can greatly alter the forecast chance that the active region will have a major eruption in the next few days after the time of the magnetogram. The active-region magnetic conditions that, in addition to the free energy, are reflected by recent major flaring are presumably the complexity and evolution of the field.

Falconer, David A.; Moore, Ronald L.; Barghouty, Abdulnasser F. [ZP13 MSFC/NASA, Huntsville, AL 35812 (United States); Khazanov, Igor [CSPAR, Cramer Hall/NSSTC, The University of Alabama in Huntsville, Huntsville, AL 35899 (United States)

2012-09-20T23:59:59.000Z

258

Property:StartYear | Open Energy Information  

Open Energy Info (EERE)

StartYear StartYear Jump to: navigation, search This is a property of type Date. The allowed values for this property are: 2013 2012 2011 2010 2009 2008 2007 2006 2005 2004 2003 2002 2001 2000 1999 1998 1997 1996 1995 1994 1993 1992 1991 1990 1989 1988 1987 1986 1985 1984 1983 1982 1981 Subproperties This property has the following 1 subproperty: M Morocco-NREL Energy Activities Pages using the property "StartYear" Showing 25 pages using this property. (previous 25) (next 25) A ASEAN-GIZ Regional Environmentally Sustainable Cities Programme - RESCP + 2007 + Afghanistan-NREL Mission + 2009 + Africa - CCS capacity building + 2010 + Algeria-DLR Resource Assessments + 2007 + Asia Pacific Partnership on Clean Development and Climate + 2006 + B Bangladesh-DLR Resource Assessments + 2001 + Bangladesh-GTZ Renewable Energy and Energy Efficiency Programme + 2007 +

259

Dynamic filter weights neural network model integrated with differential evolution for day-ahead price forecasting in energy market  

Science Conference Proceedings (OSTI)

In this paper a new dynamic model for forecasting electricity prices from 1 to 24h in advance is proposed. The model is a dynamic filter weight Adaline using a sliding mode weight adaptation technique. The filter weights for this neuron constitute of ... Keywords: Differential evolution, Dynamic filter weights neuron, Energy market, Local linear wavelet neural network, Sliding mode control

S. Chakravarty; P. K. Dash

2011-09-01T23:59:59.000Z

260

Convergence and Disposal of Energy and Moisture on the Antarctic Polar Cap from ECMWF Reanalyses and Forecasts  

Science Conference Proceedings (OSTI)

Diagnostics of energy and moisture transport and disposal over the Antarctic polar cap (70S to the pole) and ice sheet are extracted from the European Centre for Medium-Range Weather Forecasts (ECMWF) reanalysis archive over the 197993 period. ...

Christophe Genthon; Gerhard Krinner

1998-07-01T23:59:59.000Z

Note: This page contains sample records for the topic "yearly energy forecasts" 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

A review of agent-based models for forecasting the deployment of distributed generation in energy systems  

Science Conference Proceedings (OSTI)

Agent-based models are seeing increasing use in the study of distributed generation (DG) deployment. Researchers and decision makers involved in the implementation of DG have been lacking a concise overview of why they should consider using agent-based ... Keywords: agent-based modeling, consumer behavior, distributed generation, energy forecasting, product deployment

Jason G. Veneman; M. A. Oey; L. J. Kortmann; F. M. Brazier; L. J. de Vries

2011-06-01T23:59:59.000Z

262

Short-Range Direct and Diffuse Irradiance Forecasts for Solar Energy Applications Based on Aerosol Chemical Transport and Numerical Weather Modeling  

Science Conference Proceedings (OSTI)

This study examines 23-day solar irradiance forecasts with respect to their application in solar energy industries, such as yield prediction for the integration of the strongly fluctuating solar energy into the electricity grid. During cloud-...

Hanne Breitkreuz; Marion Schroedter-Homscheidt; Thomas Holzer-Popp; Stefan Dech

2009-09-01T23:59:59.000Z

263

U.S. Regional Demand Forecasts Using NEMS and GIS  

SciTech Connect

The National Energy Modeling System (NEMS) is a multi-sector, integrated model of the U.S. energy system put out by the Department of Energy's Energy Information Administration. NEMS is used to produce the annual 20-year forecast of U.S. energy use aggregated to the nine-region census division level. The research objective was to disaggregate this regional energy forecast to the county level for select forecast years, for use in a more detailed and accurate regional analysis of energy usage across the U.S. The process of disaggregation using a geographic information system (GIS) was researched and a model was created utilizing available population forecasts and climate zone data. The model's primary purpose was to generate an energy demand forecast with greater spatial resolution than what is currently produced by NEMS, and to produce a flexible model that can be used repeatedly as an add-on to NEMS in which detailed analysis can be executed exogenously with results fed back into the NEMS data flow. The methods developed were then applied to the study data to obtain residential and commercial electricity demand forecasts. The model was subjected to comparative and statistical testing to assess predictive accuracy. Forecasts using this model were robust and accurate in slow-growing, temperate regions such as the Midwest and Mountain regions. Interestingly, however, the model performed with less accuracy in the Pacific and Northwest regions of the country where population growth was more active. In the future more refined methods will be necessary to improve the accuracy of these forecasts. The disaggregation method was written into a flexible tool within the ArcGIS environment which enables the user to output the results in five year intervals over the period 2000-2025. In addition, the outputs of this tool were used to develop a time-series simulation showing the temporal changes in electricity forecasts in terms of absolute, per capita, and density of demand.

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

2005-07-01T23:59:59.000Z

264

This Year's MEISPP Interns | Department of Energy  

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

This Year's MEISPP Interns This Year's MEISPP Interns This Year's MEISPP Interns August 12, 2010 - 5:56pm Addthis Bill Valdez Bill Valdez Principal Deputy Director One of the key programs of the Department of Energy's Office of Economic Impact and Diversity is our Minority Educational Institution Student Partnership Program (MEISPP). The MEISPP has become a major recruitment program for DOE managers who are committed to building the highest quality workforce at the Department. Students have unique experiences during their 10 weeks at DOE and perform substantive professional and technical work that furthers the Department's missions in energy, environment, national security and scientific discovery. Beyond having the opportunity to add to the mission of DOE, MEISPP interns receive a stipend along with paid

265

Photovoltaic energy: Contract list, fiscal year 1990  

DOE Green Energy (OSTI)

The federal government has conducted the National Photovoltaics Program since 1975. Its purpose is to provide focus, direction, and funding for the development of terrestrial photovoltaic technology as an energy option for the United States. In the past, a summary was prepared each year to provide an overview of the government-funded activities within the National Photovoltaics Program. Tasks conducted in-house by participating national laboratories or under contract by industrial, academic, and other research institutes were highlighted. This year's document is more concise than the summaries of previous years. The FY 1990 contract overview comprises a list of all subcontracts begun, ongoing, or completed by Sandia National Laboratory or the Solar Energy Research Institute during FY 1990 (October 1, 1989, through September 30, 1990). Under each managing laboratory, projects are listed alphabetically by project area and then by subcontractor name.

Not Available

1991-07-01T23:59:59.000Z

266

Calendar Year 2011 | Department of Energy  

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

1 1 Calendar Year 2011 RSS December 21, 2011 Inspection Report: INS-L-12-01 Follow-up Review of Control and Accountability of Emergency Communication Network Equipment December 16, 2011 Inspection Report: INS-RA-L-12-01 Waste Disposal and Recovery Act Efforts at the Oak Ridge Reservation November 28, 2011 Special Report: OAS-RA-L-12-01 Special Inquiry on the Office of the Chief Financial Officer's Information Technology Expenditures November 15, 2011 Evaluation Report: OAS-M-12-01 The Federal Energy Regulatory Commission's Unclassified Cyber Security Program - 2011 November 10, 2011 Special Report: IG-0858 Management Challenges at the Department of Energy - Fiscal Year 2012 November 9, 2011 Audit Report: OAS-RA-12-02 The State of Nevada's Implementation of the Energy Efficiency and

267

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

268

Short-Term Energy Outlook - U.S. Energy Information ...  

U.S. Energy Information Administration (EIA)

Monthly and yearly energy forecasts, analysis of energy topics, ... Release Date: October 8, 2013 | Next Release Date: November 13, 2013 ...

269

Ten Year Site Plans | Department of Energy  

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

Ten Year Ten Year Site Plans Ten Year Site Plans A Ten Year Site Plan (TYSP) is the essential planning document linking a site's real property requirements to its mission in support of the Department of Energy's overall strategic plan. It is a comprehensive site-wide plan encompassing the needs of tenant activities. The TYSP is integral to and supports the Department's Planning, Programming, Budgeting, and Evaluation System (PPBES). The TYSP also describes site-specific actions the programs plans in order to meet stewardship, recapitalization and sustainability goals for their facilities. The Department requires all programs to update their TYSPs at least annually and submitted either concurrently with responses to the field budget call, or as directed to be consistent with the PPBES cycle.

270

Calendar Year 2006 | Department of Energy  

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

6 6 Calendar Year 2006 RSS December 18, 2006 Audit Letter Report: OAS-L-07-04 Inquiry to the Hotline Complaint on Possible Design Mistakes and Cost Overruns of the Linac Coherent Light Source Project at Stanford Linear Accelerator Center December 18, 2006 Audit Report: IG-0750 The Federal Energy Regulatory Commission's Program to Oversee Hydroelectric Dams December 14, 2006 Audit Report: IG-0749 The Department's Energy, Science,and Environment Sites' Implementationof the Design Basis Threat December 13, 2006 Special Report: IG-0748 Management Challenges at the Department of Energy December 5, 2006 Audit Report: IG-0747 The Department of Energy's Use of the Strategic Petroleum Reserve in Response to Hurricanes Katrina and Rita November 29, 2006 Inspection Report: IG-0746

271

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

272

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.

273

Calendar Year 2012 | Department of Energy  

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

2 2 Calendar Year 2012 RSS December 21, 2012 Audit Report: OAS-L-13-03 The Management of the Plateau Remediation Contract December 21, 2012 Audit Report: IG-0879 Naval Reactors Information Technology System Development Efforts December 17, 2012 Audit Report: OAS-FS-13-08 Management Letter on the Audit of the Department of Energy's Consolidated Financial Statements for Fiscal Year 2012 December 11, 2012 Audit Report: IG-0878 Follow-up Audit of the Department's Cyber Security Incident Management Program December 3, 2012 Audit Report: OAS-RA-L-13-02 The Department's Implementation of Financial Incentive Programs under the Energy Efficiency and Conservation Block Grant Program November 30, 2012 Inspection Report: INS-O-13-02 Tactical Response Force Pursuit Operations at Idaho National Laboratory

274

Property:EndYear | Open Energy Information  

Open Energy Info (EERE)

Property Property Edit with form History Facebook icon Twitter icon » Property:EndYear Jump to: navigation, search This is a property of type Date. The allowed values for this property are: 2024 2023 2022 2021 2020 2019 2018 2017 2016 2015 2014 2013 2012 2011 2010 2009 2008 2007 2006 2005 2004 2003 2002 2001 2000 1999 1998 1997 1996 1995 1994 1993 1992 1991 1990 1989 1988 1987 1986 1985 1984 1983 1982 1981 Pages using the property "EndYear" Showing 25 pages using this property. (previous 25) (next 25) A ASEAN-GIZ Regional Environmentally Sustainable Cities Programme - RESCP + 2012 + Africa - CCS capacity building + 2011 + Algeria-DLR Resource Assessments + 2008 + B Bangladesh-DLR Resource Assessments + 2004 + Bangladesh-GTZ Renewable Energy and Energy Efficiency Programme + 2011 + Belize-OAS Cellulosic Ethanol Market Assessment + 2009 +

275

Federal Energy Management Program Year in Review 2008  

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

Year in Review 2008 Federal Energy Management Program Federal Energy Management Program Year in Review 2008 Table of Contents Introduction 1 Project Transaction Services 2 Applied...

276

Year-in-Review: 2012 Energy Infrastructure Events and Expansions...  

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

Year-in-Review: 2012 Energy Infrastructure Events and Expansions Now Available (July 2013) Year-in-Review: 2012 Energy Infrastructure Events and Expansions Now Available (July...

277

EIA - Annual Energy Outlook (AEO) 2013 Data Tables  

U.S. Energy Information Administration (EIA)

Monthly and yearly energy forecasts, analysis of energy topics, financial analysis, ... Annual Energy Outlook 2013. Release Dates: April 15 - May 2, 2013 ...

278

U.S. Energy Information Administration (EIA) - Sector  

U.S. Energy Information Administration (EIA)

Monthly and yearly energy forecasts, analysis of energy topics, financial analysis, ... Annual Energy Outlook 2013. Release Dates: April 15 - May 2, 2013 ...

279

U.S. Energy Information Administration - EIA - Independent ...  

U.S. Energy Information Administration (EIA)

Monthly and yearly energy forecasts, analysis of energy topics, ... International Energy Outlook 2013. Release Date: July 25, 2013 | Next Release Date: ...

280

Geothermal Energy Contract List: Fiscal Year 1990  

DOE Green Energy (OSTI)

The Geothermal Division of the US Department of Energy (DOE) is charged with the lead federal role in the research and development (R D) of technologies that will assist industry in economically exploiting the nation's vast geothermal resources. The Geothermal Energy R D Program represents a comprehensive, balanced approach to establishing all forms of geothermal energy as significant contributors to the nation's energy supply. The program is structured both to maintain momentum in the growth of the existing hydrothermal industry and to develop long-term options offering the greatest promise for practical applications. The Geothermal Energy Contract List, Fiscal Year 1990 is a tabulation of geothermal R D contracts that were begun, ongoing, or completed during FY 1990 (October 1, 1989 through September 30, 1990). The R D activities are performed by national laboratories or industrial, academic, and nonprofit research institutions. The contract list is organized in accordance with the Geothermal Division R D work breakdown structure. The structure hierarchy consists of Resource Category (hydrothermal, geopressured-geothermal, hot dry rock, and magma energy), Project (hard rock penetration, reservoir technology, etc.), and Task (lost circulation control, rock penetration mechanics, etc.). For each contract, the contractor, the FY 1990 funding, and a brief description of the milestones planned for FY 1991 are provided.

Not Available

1991-10-01T23:59:59.000Z

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


281

Calendar Year 2005 | Department of Energy  

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

November 17, 2005 November 17, 2005 Audit Report: IG-0709 Management of the Department's Isotope Program November 17, 2005 Audit Report: IG-0710 Management of Facility Contractors Assigned to the Washington, D.C. Area November 14, 2005 Audit Report: OAS-FS-06-01 Report o the Department of Energy's Fiscal Year 2005 Consolidated Financial Statements November 9, 2005 Audit Report: OAS-L-06-01 The Department of Energy's Radio Communications Systems November 9, 2005 Special Report: IG-0707 The Department of Energy's Response to Hurricanes Katrina and Rita November 9, 2005 Inspection Report: IG-0708 Quality Assurance Weaknesses in the Review of Yucca Mountain Electronic Mail for Relevancy to the Licensing Process October 17, 2005 Audit Report: IG-0706 Accelerated Tank Waste Retrieval Activities at the Hanford Site

282

Calendar Year 2012 | Department of Energy  

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

July 30, 2012 July 30, 2012 Audit Report: OAS-FS-12-10 Southwestern Federal Power System's Fiscal Year 2010 Financial Statement Audit July 20, 2012 Audit Report: OAS-L-12-07 The Global Threat Reduction Initiative's Molybdenum-99 Program July 20, 2012 Audit Report: OAS-RA-L-12-06 The Department of Energy's American Recovery and Reinvestment Act - Missouri State Energy Program July 20, 2012 Audit Report: OAS-L-12-08 Y-12 National Security Complex's Waste Diversion Efforts July 20, 2012 Audit Report: OAS-L-12-06 Oak Ridge National Laboratory's Waste Diversion Efforts July 10, 2012 Audit Report: OAS-RA-L-12-05 Follow-up on the Department of Energy's Implementation of the Advanced Batteries and Hybrid Components Program Funded under the American Recovery and Reinvestment Act July 2, 2012

283

Calendar Year 2007 | Department of Energy  

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

7 7 Calendar Year 2007 RSS December 19, 2007 Inspection Report: IG-0784 The Department of Energy's Pandemic Influenza Planning December 18, 2007 Audit Report: OAS-M-08-04 Management Controls over Operations of the Integrated Disposal Facility atthe Hanford Site December 17, 2007 Audit Report: IG-0783 Beryllium Surface Contamination at the Y-12 National Security Complex December 13, 2007 Special Report: IG-0782 Management Challenges at the Department of Energy December 11, 2007 Audit Report: OAS-L-08-03 The Department of Energy's Implementation of Revised OMB Circular No. A-123 December 11, 2007 Audit Report: OAS-M-08-03 Management Controls over Implementation of the Homeland Defense Equipment Reuse Program November 28, 2007 Audit Letter Report: OAS-L-08-02 Department's Implementation of the Strategic Integrated Procurement

284

Calendar Year 2012 | Department of Energy  

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

October 26, 2012 October 26, 2012 Special Report: IG-0875 Review of the Compromise of Security Test Materials at the Y-12 National Security Complex October 22, 2012 Audit Report: IG-0873 Management of Western Area Power Administration's Cyber Security Program October 19, 2012 Special Report: IG-0874 Management Challenges at the Department of Energy - Fiscal Year 2013 October 17, 2012 Examination Report: OAS-RA-13-03 Community Action Partnership of Orange County - Weatherization Assistance Program Funds Provided by the American Recovery and Reinvestment Act of 2009 October 16, 2012 Management Alert: IG-0872 The Department of Energy's Management of Foreign Travel October 9, 2012 Examination Report: OAS-RA-13-02 County of Los Angeles - Energy Efficiency and Conservation Block Grant

285

Calendar Year 2001 | Department of Energy  

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

1 1 Calendar Year 2001 Documents marked with the * are published in Adobe PDF format. 2001-12-21 - Report IG-0537:* Audit Report on "Telecommunications Infrastructure" 2001-12-20 - Report IG-0536:* Inspection Report on "Follow-on Inspection of the Department of Energy's Value Engineering Program" 2001-12-21 - Report IG-0538:* Special Report on "Management Challenges at the Department of Energy" 2001-12-18 - Report IG-0535:* Audit Report on "Management of the Stockpile Surveillance Program's Significant Finding Investigations" 2001-12 - Report IG-0534:* Inspection Report on "Inspection of Lawrence Livermore National Laboratory Protective Force and Special Response Team " 2001-12-07 - Report IG-0533:* Inspection Report on "Inspection of the Department of Energy's Automated

286

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...

287

Energy Efficiency Resource Standard | Department of Energy  

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

Bill 2021 of 2006. The bill calls for a 10% reduction in forecasted electricity consumption within 10 years. The bill also requires the California Energy Commission (CEC), the...

288

Federal Energy Management Program Year in Review 2005  

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

FEDERAL ENERGY MANAGEMENT PROGRAM YEAR IN REVIEW 2005 PRESIDENTIAL AWARDS FOR LEADERSHIP IN FEDERAL ENERGY MANAGEMENT FEDERAL ENERGY AND WATER MANAGEMENT AWARDS SHOWCASE AWARDS...

289

Calendar Year 2008 | Department of Energy  

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

8 8 Calendar Year 2008 RSS December 23, 2008 Special Report: IG-0808 Management Challenges at the Department of Energy December 11, 2008 Inspection Report: INS-O-09-01 Security Clearances at Lawrence Livermore National Laboratory and Sandia National Laboratory-California December 9, 2008 Audit Report: IG-0807 Cyber Security Risk Management Practices at the Bonneville Power Administration November 25, 2008 Inspection Report: IG-0806 40 MM Grenade Launcher Qualification Requirements at Department of Energy Sites November 20, 2008 Audit Report: IG-0805 Cyber Security Risk Management Practice at the Southeastern, Southwestern, and Western AreaPower Administrations November 19, 2008 Inspection Summary Report Issues Related to the Production of Components for the W76 Weapon System

290

Calendar Year 1997 | Department of Energy  

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

7 7 Calendar Year 1997 Documents marked with the * are published in Adobe PDF format. 1997-12-23 - Report IG-0416:* Audit of Support Services Subcontracts at Argonne National Laboratory 1997-12-10 - Report ER-B-98-05:* Audit of the Department of Energy's Contracts with Envirocare of Utah, Inc. 1997-12-05 - Report IG-0414:* Audit of the Department of Energy's Management of Field Contractor Employees Assigned to Headquarters and Other Federal Agencies 1997-12-04 - Report IG-0415:* Audit of Departmental Receipt of Final Deliverables for Grant Awards 1997-11-24 - Report ER-B-98-04:* Audit of Selected Government-Funded Grants and Contracts at Princeton University 1997-11-19 - Report WR-B-98-01:* Audit of the Radioactive Liquid Waste Treatment Facility Operations at the

291

Calendar Year 2013 | Department of Energy  

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

January 17, 2013 January 17, 2013 Examination Report: OAS-RA-13-06 Montgomery County Department of Housing and Community Affairs - Weatherization Assistance Program Funds Provided by the American Recovery and Reinvestment Act of 2009 January 17, 2013 Examination Report: OAS-RA-13-05 Prince George's County Department of Housing and Community Development - Weatherization Assistance Program Funds Provided by the American Recovery and Reinvestment Act of 2009 January 16, 2013 Audit Report: OAS-L-13-05 The Department of Energy's International Offices and Foreign Assignments January 15, 2013 Audit Report: OAS-FS-13-09 Department of Energy's Isotope Development and Production for Research and Applications Program's Fiscal Year 2010 Balance Sheet Audit January 11, 2013 Audit Report: OAS-L-13-04

292

Calendar Year 2010 | Department of Energy  

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

0 0 Calendar Year 2010 RSS December 20, 2010 Audit Report: OAS-RA-L-11-02 Audit of Environmental Cleanup Projects Funded by the Recovery Act at the Y-12 National Security Complex December 3, 2010 Investigative Report: INV-RA-11-01 Management Alert on the State Energy Efficient Appliance Rebate Program November 30, 2010 Audit Report: OAS-RA-11-03 The Department of Energy's Weatherization Assistance Program under the American Recovery and Reinvestment Act for the City of Phoenix - Agreed-Upon Procedures November 17, 2010 Inspection Letter Report: INS-L-11-01 Letter Report on "Inspection of Allegations Relating to Irregularities in the Human Reliability Program and Alcohol Abuse within the Office of Secure Transportation November 16, 2010 Special Report: IG-0844

293

Calendar Year 1998 | Department of Energy  

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

8 8 Calendar Year 1998 Documents marked with the * are published in Adobe PDF format. 1998-12-21 - Report ER-B-99-01:* Audit Report on "Decontamination and Decommissioning at the East Tennessee Technology Park" 1998-12-04 - Report WR-B-99-01:* Audit Report on "Transportation Safeguards Division Courier Work Schedule and Escort Vehicle Replacements" 1998-12-18 - Report IG-0434:* Audit Report on "Waste Inventory Data at Oak Ridge and Savannah River" 1998-12-03 - Report IG-0433:* Report on "Inspection of Department of Energy Conference Policies and Practices" 1998-11-20 - Report IG-0432:* Audit Report on "The U.S. Department of Energy's Efforts to Increase The Financial Responsibility Of Its Major For-Profit Operating Contractors"

294

Calendar Year 2002 | Department of Energy  

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

2 2 Calendar Year 2002 Documents marked with the * are published in Adobe PDF format. 2002-12-31 - Report IG-0580:* Special Report on "Management Challenges at the Department of Energy" 2002-12-23 - Report IG-0579:* Audit Report on "The Department's Unclassified Foreign Visits and Assignments Program" 2002-12-19 - Report IG-0578:* Inspection Report on "Inspection of Explosives Safety at Selected Department of Energy Sites" 2002-12-18 - Report IG-0577:* Audit Report on "Planned Characterization Capability At The Waste Isolation Pilot Plant" 2002-12-03 - Report OAS-L-03-03:* Audit Report on "Follow-Up Audit on the Department's Management of Field Contractor Employees Assigned to Headquarters and Other Federal Agencies"

295

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

E-Print Network (OSTI)

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

296

Monthly Biodiesel Production Report - Energy Information ...  

U.S. Energy Information Administration (EIA)

Monthly and yearly energy forecasts, analysis of energy topics, ... With Data for August 2013 | Release Date: October 30, 2013 | Next Release Date: November ...

297

Weekly Petroleum Status Report - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Monthly and yearly energy forecasts, analysis of energy topics, ... Release Date: Nov. 20, 2013 | Next Release Date: Nov. 27, 2013 | full report.

298

Natural Gas Monthly (NGM) - Energy Information Administration ...  

U.S. Energy Information Administration (EIA)

Monthly and yearly energy forecasts, analysis of energy topics, ... Data for August 2013 | Release Date: October 31, 2013 | Next Release: December 6, ...

299

Wind Energy Management System EMS Integration Project: Incorporating Wind Generation and Load Forecast Uncertainties into Power Grid Operations  

SciTech Connect

The power system balancing process, which includes the scheduling, real time dispatch (load following) and regulation processes, is traditionally based on deterministic models. Since the conventional generation needs time to be committed and dispatched to a desired megawatt level, the scheduling and load following processes use load and wind and solar power production forecasts to achieve future balance between the conventional generation and energy storage on the one side, and system load, intermittent resources (such as wind and solar generation), and scheduled interchange on the other side. Although in real life the forecasting procedures imply some uncertainty around the load and wind/solar forecasts (caused by forecast errors), only their mean values are actually used in the generation dispatch and commitment procedures. Since the actual load and intermittent generation can deviate from their forecasts, it becomes increasingly unclear (especially, with the increasing penetration of renewable resources) whether the system would be actually able to meet the conventional generation requirements within the look-ahead horizon, what the additional balancing efforts would be needed as we get closer to the real time, and what additional costs would be incurred by those needs. To improve the system control performance characteristics, maintain system reliability, and minimize expenses related to the system balancing functions, it becomes necessary to incorporate the predicted uncertainty ranges into the scheduling, load following, and, in some extent, into the regulation processes. It is also important to address the uncertainty problem comprehensively by including all sources of uncertainty (load, intermittent generation, generators forced outages, etc.) into consideration. All aspects of uncertainty such as the imbalance size (which is the same as capacity needed to mitigate the imbalance) and generation ramping requirement must be taken into account. The latter unique features make this work a significant step forward toward the objective of incorporating of wind, solar, load, and other uncertainties into power system operations. Currently, uncertainties associated with wind and load forecasts, as well as uncertainties associated with random generator outages and unexpected disconnection of supply lines, are not taken into account in power grid operation. Thus, operators have little means to weigh the likelihood and magnitude of upcoming events of power imbalance. In this project, funded by the U.S. Department of Energy (DOE), a framework has been developed for incorporating uncertainties associated with wind and load forecast errors, unpredicted ramps, and forced generation disconnections into the energy management system (EMS) as well as generation dispatch and commitment applications. A new approach to evaluate the uncertainty ranges for the required generation performance envelope including balancing capacity, ramping capability, and ramp duration has been proposed. The approach includes three stages: forecast and actual data acquisition, statistical analysis of retrospective information, and prediction of future grid balancing requirements for specified time horizons and confidence levels. Assessment of the capacity and ramping requirements is performed using a specially developed probabilistic algorithm based on a histogram analysis, incorporating all sources of uncertainties of both continuous (wind and load forecast errors) and discrete (forced generator outages and start-up failures) nature. A new method called the flying brick technique has been developed to evaluate the look-ahead required generation performance envelope for the worst case scenario within a user-specified confidence level. A self-validation algorithm has been developed to validate the accuracy of the confidence intervals.

Makarov, Yuri V.; Huang, Zhenyu; Etingov, Pavel V.; Ma, Jian; Guttromson, Ross T.; Subbarao, Krishnappa; Chakrabarti, Bhujanga B.

2010-01-01T23:59:59.000Z

300

Federal Energy Management Program Year in Review 2007  

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

Year in Review 2007 YEAR IN REVIEW 2007 FEdERAl ENERgY MANAgEMENt PRogRAM 2007 Federal Energy Management Program Year in Review 2007 Table of Contents Introduction 1 Technical...

Note: This page contains sample records for the topic "yearly energy forecasts" 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

Federal Energy Management Program Year in Review 2006  

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

Year in Review 2006 Federal energy ManageMent PrograM year In reVIeW 2006 2006 Federal Energy Management Program Year in Review 2006 Table of Contents Introduction 1 Technical...

302

Year-in-Review: 2012 Energy Infrastructure Events and Expansions...  

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

Year-in-Review: 2012 Energy Infrastructure Events and Expansions (July 2013) Year-in-Review: 2012 Energy Infrastructure Events and Expansions (July 2013) The Year-in-Review (YIR):...

303

Short-term energy outlook annual supplement, 1993  

SciTech Connect

The Short-Term Energy Outlook Annual Supplement (supplement) is published once a year as a complement to the Short-Term Energy Outlook (Outlook), Quarterly Projections. The purpose of the Supplement is to review the accuracy of the forecasts published in the Outlook, make comparisons with other independent energy forecasts, and examine current energy topics that affect the forecasts.

NONE

1993-08-06T23:59:59.000Z

304

Short-term energy outlook, annual supplement 1994  

SciTech Connect

The Short-Term Energy Outlook Annual Supplement (Supplement) is published once a year as a complement to the Short-Term Energy Outlook (Outlook), Quarterly Projections. The purpose of the Supplement is to review the accuracy of the forecasts published in the Outlook, make comparisons with other independent energy forecasts, and examine current energy topics that affect the forecasts.

Not Available

1994-08-01T23:59:59.000Z

305

Issues in midterm analysis and forecasting 1998  

SciTech Connect

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

NONE

1998-07-01T23:59:59.000Z

306

Office of Energy Efficiency and Renewable Energy Fiscal Year 2014 Budget Rollout Sustainable Transportation  

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

Office of Energy Efficiency and Renewable Energy Fiscal Year 2014 Budget Rollout Sustainable Transportation, May 2013.

307

Calendar Year 1996 | Department of Energy  

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

6 6 Calendar Year 1996 Documents marked with the * are published in Adobe PDF format. 1996-11-21 - Report IG-0398: Special Report on the Audit of the Management of Department of Energy Construction Projects 1996-11-15 - Report WR-B-97-03: Audit of Groundwater Monitoring at Hanford 1996-11-07 - Report WR-B-97-02: Audit of Bus Service Subsidies at the Idaho National Engineering Laboratory 1996-11-06 - Report WR-B-97-01: Audit of Electrical System Construction Projects at the Nevada Operations Office 1996-10-22 - Report ER-B-97-01: Audit of Economic Development Grants and a Cooperative Agreement with East Tennessee Not-For-Profit Organizations 1996-10-13 - Report INS-9601: Report on the Intelligence Oversight Inspection of the Special Technologies Laboratory 1996-10-07 - Report IG-0397:*

308

Calendar Year 2005 | Department of Energy  

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

5 5 Calendar Year 2005 RSS December 30, 2005 Audit Report: OAS-M-06-03 Management Controls over the University of California's Contributions to the Los Alamos National Laboratory Foundation December 21, 2005 Audit Report: IG-0713 Status of the Mixed Oxide Fuel Fabrication Facility December 20, 2005 Audit Report: OAS-L-06-04 Federal Managers' Financial Integrity Act December 20, 2005 Audit Report: OAS-L-06-03 Defense Waste Processing Facility Operations at the Savannah River Site December 14, 2005 Special Report: IG-0712 Management Challenges at the Department of Energy December 5, 2005 Audit Report: IG-0711 Demolition and Replacement of Hanford's Radiological Calibration Laboratory November 25, 2005 Audit Report: OAS-M-06-02 Management Controls over Assessing Natural Resource Damage at Rocky Flats

309

How Do Forecasters Utilize Output From A Convection-Permitting Ensemble Forecast System? Case Study Of A High-Impact Precipitation Event  

Science Conference Proceedings (OSTI)

The proliferation of ensemble forecast system output in recent years motivates this investigation into how operational forecasters utilize convection-permitting ensemble forecast system guidance in the forecast preparation process. A sixteen-...

Clark Evans; Donald F. Van Dyke; Todd Lericos

310

Wind Energy Management System Integration Project Incorporating Wind Generation and Load Forecast Uncertainties into Power Grid Operations  

SciTech Connect

The power system balancing process, which includes the scheduling, real time dispatch (load following) and regulation processes, is traditionally based on deterministic models. Since the conventional generation needs time to be committed and dispatched to a desired megawatt level, the scheduling and load following processes use load and wind power production forecasts to achieve future balance between the conventional generation and energy storage on the one side, and system load, intermittent resources (such as wind and solar generation) and scheduled interchange on the other side. Although in real life the forecasting procedures imply some uncertainty around the load and wind forecasts (caused by forecast errors), only their mean values are actually used in the generation dispatch and commitment procedures. Since the actual load and intermittent generation can deviate from their forecasts, it becomes increasingly unclear (especially, with the increasing penetration of renewable resources) whether the system would be actually able to meet the conventional generation requirements within the look-ahead horizon, what the additional balancing efforts would be needed as we get closer to the real time, and what additional costs would be incurred by those needs. In order to improve the system control performance characteristics, maintain system reliability, and minimize expenses related to the system balancing functions, it becomes necessary to incorporate the predicted uncertainty ranges into the scheduling, load following, and, in some extent, into the regulation processes. It is also important to address the uncertainty problem comprehensively, by including all sources of uncertainty (load, intermittent generation, generators forced outages, etc.) into consideration. All aspects of uncertainty such as the imbalance size (which is the same as capacity needed to mitigate the imbalance) and generation ramping requirement must be taken into account. The latter unique features make this work a significant step forward toward the objective of incorporating of wind, solar, load, and other uncertainties into power system operations. In this report, a new methodology to predict the uncertainty ranges for the required balancing capacity, ramping capability and ramp duration is presented. Uncertainties created by system load forecast errors, wind and solar forecast errors, generation forced outages are taken into account. The uncertainty ranges are evaluated for different confidence levels of having the actual generation requirements within the corresponding limits. The methodology helps to identify system balancing reserve requirement based on a desired system performance levels, identify system breaking points, where the generation system becomes unable to follow the generation requirement curve with the user-specified probability level, and determine the time remaining to these potential events. The approach includes three stages: statistical and actual data acquisition, statistical analysis of retrospective information, and prediction of future grid balancing requirements for specified time horizons and confidence intervals. Assessment of the capacity and ramping requirements is performed using a specially developed probabilistic algorithm based on a histogram analysis incorporating all sources of uncertainty and parameters of a continuous (wind forecast and load forecast errors) and discrete (forced generator outages and failures to start up) nature. Preliminary simulations using California Independent System Operator (California ISO) real life data have shown the effectiveness of the proposed approach. A tool developed based on the new methodology described in this report will be integrated with the California ISO systems. Contractual work is currently in place to integrate the tool with the AREVA EMS system.

Makarov, Yuri V.; Huang, Zhenyu; Etingov, Pavel V.; Ma, Jian; Guttromson, Ross T.; Subbarao, Krishnappa; Chakrabarti, Bhujanga B.

2010-09-01T23:59:59.000Z

311

Figure 2. Energy Consumption of Vehicles, Selected Survey Years  

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

Home > Households, Buildings & Industry >Transportation Surveys > Household Vehicles Energy Use > Figure 2 Figure 2. Energy Consumption of Vehicles, Selected Survey Years...

312

Ten Year Site Plans | Department of Energy  

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

Ten Year Site Plans Ten Year Site Plans A Ten Year Site Plan (TYSP) is the essential planning document linking a site's real property requirements to its mission in support of the...

313

Calendar Year 2003 | Department of Energy  

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

Year 2003 Calendar Year Reports Recovery Act Peer Reviews DOE Directives Performance Strategic Plan Testimony Financial Statements Semiannual Reports Work Plan December 22, 2003...

314

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

315

YearFounded 2005 | Open Energy Information  

Open Energy Info (EERE)

+ ElectraTherm, Inc. + Ener-G-Rotors, Inc. + Enviro Energy Enterprises + EverSealed Windows, Inc. + Gaia Worldwide + NGP Energy Technology Partners + NovaTorque + Prism Solar...

316

YearFounded 1983 | Open Energy Information  

Open Energy Info (EERE)

Energy Studies + (1982) AWS Truewind + (1983) Advanced Conservation Systems + (1983) Battery Ventures + (1983) Energy Sector Management Assistance Program of the World Bank...

317

Gasoline and Diesel Fuel Update - U.S. Energy Information ...  

U.S. Energy Information Administration (EIA)

Monthly and yearly energy forecasts, analysis of energy topics, ... 2013 | Next Release Date: November 18, 2013 Diesel Fuel Release Date: November 12, ...

318

Petroleum & Other Liquids - U.S. Energy Information ...  

U.S. Energy Information Administration (EIA)

Monthly and yearly energy forecasts, analysis of energy topics, financial analysis, Congressional reports. Markets & Finance. ... 2013 | Next Release: December 10, 2013.

319

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

320

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

Note: This page contains sample records for the topic "yearly energy forecasts" 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

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

323

Federal Energy Management Program Year in Review 2009  

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

FEMP YEaR in REviEw 2009 Year in Review 2009 Federal Energy Management Program YEar in rEviEw 2009 Table of Contents Introduction 2 Project Transaction Services 3 Applied...

324

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

E-Print Network (OSTI)

the accuracy of two methods to forecast natural gas prices:forecasting models along with the AEO forecast. Appendix ATable 1. Forecast Year AEO Predicted Price from 1996-2003

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

2005-01-01T23:59:59.000Z

325

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

326

Calendar Year 2007 Program Benefits for ENERGY STAR Labeled Products  

Science Conference Proceedings (OSTI)

ENERGY STAR is a voluntary energy efficiency-labeling program operated jointly by the United States Department of Energy and the United States Environmental Protection Agency (US EPA). Since the program inception in 1992, ENERGY STAR has become a leading international brand for energy efficient products. ENERGY STAR's central role in the development of regional, national, and international energy programs necessitates an open process whereby its program achievements to date as well as projected future savings are shared with committed stakeholders. Through 2007, the program saved 7.1 Quads of primary energy and avoided 128 MtC equivalent. The forecast shows that the program is expected to save 21.2 Quads of primary energy and avoid 375 MtC equivalent over the period 2008-2015. The sensitivity analysis bounds the best estimate of carbon avoided between 84 MtC and 172 MtC (1993 to 2007) and between 243 MtC and 519 MtC (2008 to 2015).

Sanchez, Marla Christine; Homan, Gregory; Brown, Richard

2008-10-31T23:59:59.000Z

327

Energy Infrastructure Events and Expansions Year-in-Review 2010 |  

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

Infrastructure Events and Expansions Year-in-Review 2010 Infrastructure Events and Expansions Year-in-Review 2010 Energy Infrastructure Events and Expansions Year-in-Review 2010 The Year-in-Review provides an overview of the events that occurred in 2010: disruptions and additions to energy infrastructure in the United States as well as international events of importance to U.S. energy supplies. The report is the culminating analysis of all of the 2010 issues of the Energy Assurance Daily (EAD). Energy Infrastructure Events and Expansions Year-in-Review 2010.pdf More Documents & Publications Energy Infrastructure Events and Expansions Year-in-Review 2011 Hardening and Resiliency: U.S. Energy Industry Response to Recent Hurricane Seasons - August 2010 Comparing the Impacts of the 2005 and 2008 Hurricanes on U.S. Energy

328

Calendar Year 2012 | Department of Energy  

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

Ombudsman FOIA Reports Calendar Year Reports Recovery Act Peer Reviews DOE Directives Performance Strategic Plan Testimony Financial Statements Semiannual Reports Work...

329

Calendar Year 2009 | Department of Energy  

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

Ombudsman FOIA Reports Calendar Year Reports Recovery Act Peer Reviews DOE Directives Performance Strategic Plan Testimony Financial Statements Semiannual Reports Work...

330

Calendar Year 2013 | Department of Energy  

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

Ombudsman FOIA Reports Calendar Year Reports Recovery Act Peer Reviews DOE Directives Performance Strategic Plan Testimony Financial Statements Semiannual Reports Work...

331

Calendar Year 2009 | Department of Energy  

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

Reports Calendar Year Reports Recovery Act Peer Reviews DOE Directives Performance Strategic Plan Testimony Financial Statements Semiannual Reports Work Plan Mission About Us...

332

Calendar Year 2005 | Department of Energy  

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

Reports Calendar Year Reports Recovery Act Peer Reviews DOE Directives Performance Strategic Plan Testimony Financial Statements Semiannual Reports Work Plan Mission About Us...

333

Calendar Year 2013 | Department of Energy  

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

Reports Calendar Year Reports Recovery Act Peer Reviews DOE Directives Performance Strategic Plan Testimony Financial Statements Semiannual Reports Work Plan Mission About Us...

334

Calendar Year 2003 | Department of Energy  

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

Reports Calendar Year Reports Recovery Act Peer Reviews DOE Directives Performance Strategic Plan Testimony Financial Statements Semiannual Reports Work Plan Mission About Us...

335

Calendar Year Reports | Department of Energy  

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

Reports Calendar Year Reports Recovery Act Peer Reviews DOE Directives Performance Strategic Plan Testimony Financial Statements Semiannual Reports Work Plan Mission About Us...

336

Calendar Year 2004 | Department of Energy  

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

Reports Calendar Year Reports Recovery Act Peer Reviews DOE Directives Performance Strategic Plan Testimony Financial Statements Semiannual Reports Work Plan Mission About Us...

337

Calendar Year 2000 | Department of Energy  

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

Reports Calendar Year Reports Recovery Act Peer Reviews DOE Directives Performance Strategic Plan Testimony Financial Statements Semiannual Reports Work Plan Mission About Us...

338

Calendar Year 2011 | Department of Energy  

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

Reports Calendar Year Reports Recovery Act Peer Reviews DOE Directives Performance Strategic Plan Testimony Financial Statements Semiannual Reports Work Plan Mission About Us...

339

Calendar Year 2006 | Department of Energy  

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

Reports Calendar Year Reports Recovery Act Peer Reviews DOE Directives Performance Strategic Plan Testimony Financial Statements Semiannual Reports Work Plan Mission About Us...

340

Calendar Year Reports Archive | Department of Energy  

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

Reports Archive Calendar Year Reports Archive October 3, 2013 Special Inquiry: DOEIG-0895 Review of Allegations Regarding Prohibited Personnel Practices at the Bonneville Power...

Note: This page contains sample records for the topic "yearly energy forecasts" 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

EIA-Annual Energy Outlook 2009 -Year-by-Year Reference Case Tables  

Gasoline and Diesel Fuel Update (EIA)

Reference Case Tables (2006-2030) Reference Case Tables (2006-2030) Annual Energy Outlook 2009 with Projections to 2030 Year-by-Year Reference Case Tables (2006-2030) Table Title Formats Summary Reference Case Tables PDF GIF Year-by-Year Reference Case Tables Year-by-Year Reference Case Tables. Need help, contact the National Energy Information Center at 202-586-8800. Table 1. Total Energy Supply and Disposition Summary XLS GIF Table 2. Energy Consumption by Sector and Source XLS GIF Table 3. Energy Prices by Sector and Source XLS GIF Table 4. Residential Sector Key Indicators and Consumption XLS GIF Table 5. Commercial Sector Indicators and Consumption XLS GIF Table 6. Industrial Sector Key Indicators and Consumption XLS GIF Table 7. Transportation Sector Key Indicators and Delivered Energy Consumption

342

35 Years of Innovation at the National Renewable Energy Laboratory  

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

35 years, the National Renewable Energy 35 years, the National Renewable Energy Laboratory, the U.S. Department of Energy's premier national laboratory for renewable energy and energy efficiency research and development, has delivered knowledge and innovations that have enabled the emergence of a U.S. clean energy industry. From its start in 1977 to today, NREL has pushed the boundaries of what's possible. NREL... 35 Years of Innovation: The National Renewable Energy Laboratory Leads the Way to a Clean Energy Future NREL is a national laboratory of the U.S. Department of Energy, Office of Energy Efficiency and Renewable Energy, operated by the Alliance for Sustainable Energy, LLC. NREL researchers build batteries in reverse order, burying the fragile lithium metal anodes that typically rest on the top of the battery, where cracks can

343

Four Years of Leadership with Secretary Chu | Department of Energy  

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

Four Years of Leadership with Secretary Chu Four Years of Leadership with Secretary Chu Four Years of Leadership with Secretary Chu Addthis President Obama Visits the Energy Department 1 of 21 President Obama Visits the Energy Department President Obama talks with Energy Secretary Steven Chu at Energy Department headquarters. Image: Energy Department Date taken: 2009-02-05 13:08 ARPA-E Energy Innovation Summit 2011 2 of 21 ARPA-E Energy Innovation Summit 2011 Steven Chu, Secretary, United States Department of Energy, and Dr. Arun Majumdar, Director, ARPA-E, tour the Summit's Technology Showcase. Image: Ken Shipp, Energy Department Date taken: 2011-02-28 17:36 ARPA-E Energy Innovation Summit 2011 3 of 21 ARPA-E Energy Innovation Summit 2011 Steven Chu, Secretary, United States Department of Energy holds an

344

SURVEY YEAR 2010 - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Department of Energy (DOE) seeks, ... Filing requirements are based on operator category or size, which is determined by the total or gross (8/8ths) annual

345

SURVEY YEAR 2010 - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Department of Energy (DOE) seeks, ... may obtain this information in response to an order. The information may be used for any nonstatistical purposes

346

Energy Infrastructure Events and Expansions Year-in-Review 2011 |  

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

Infrastructure Events and Expansions Year-in-Review 2011 Infrastructure Events and Expansions Year-in-Review 2011 Energy Infrastructure Events and Expansions Year-in-Review 2011 The 2011 Year-in-Review (YIR) provides a summary of significant energy disruptions and infrastructure changes that occurred in the United States throughout 2011. The focus is on the United States, but international events that impacted the United States are also reported. The 2011 YIR is based primarily on information reported in the Energy Assurance Daily (EAD) between January 1, 2011 and December 31, 2011. Energy Infrastructure Events and Expansions Year-in-Review 2011.pdf More Documents & Publications Year-in-Review: 2012 Energy Infrastructure Events and Expansions (July 2013) Energy Infrastructure Events and Expansions Year-in-Review 2010

347

Photovoltaic Energy Program overview, fiscal year 1997  

DOE Green Energy (OSTI)

The US Department of Energy (DOE) Photovoltaic Energy Program fosters the widespread acceptance of photovoltaic (PV) technology and accelerates commercial use of US PV products. The Program is founded on a collaborative strategy involving industry, the research and development community, potential users, utilities, and state and federal agencies. There are three main Program elements: Systems Engineering and Applications, Technology Development, and Research and Development.

NONE

1998-02-01T23:59:59.000Z

348

Ocean energy contract list, fiscal year 1990  

DOE Green Energy (OSTI)

The purpose of the federal Ocean Energy Technology (OET) Program is to develop techniques that harness ocean energy (waves, currents, and thermal and salinity gradients) in a cost-effective and environmentally acceptable manner. The OET Program seeks to develop ocean energy technology to a point at which the commercial sector can assess whether applications of the technology are viable energy conversion alternatives or supplements to systems. The federal OET Program is conducted by DOE and is assigned to the Assistant Secretary for Conservation and Renewable Energy. Past studies conducted by the US Department of Energy (DOE) have identified ocean thermal energy conversion (OTEC) as the largest potential contributor to US energy supplies from the ocean resource. As a result, of the OET Program concentrates on research to advance OTEC technology. The FY 1990 contract overview comprises a list of all subcontracts begun, ongoing, or completed during FY 1990 (October 1, 1989, through September 30, 1990). Under each managing laboratory, projects are listed alphabetically by project area and then by subcontractor name.

Not Available

1991-08-01T23:59:59.000Z

349

Calendar Year 2012 | Department of Energy  

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

April 25, 2012 April 25, 2012 Audit Report: IG-0863 The Department of Energy's $12.2 Billion Waste Treatment and Immobilization Plant - Quality Assurance Issues - Black Cell Vessels April 23, 2012 Audit Report: OAS-RA-12-09 The Department of Energy's Energy Efficiency and Conservation Block Grant Program Funded under the American Recovery and Reinvestment Act for the City of Philadelphia April 23, 2012 Audit Report: OAS-L-12-05 The Joint Actinide Shock Physics Experimental Research Facility at the Nevada National Security Site April 19, 2012 Audit Report: OAS-RA-12-08 The Department of Energy's American Recovery and Reinvestment Act - New York State Energy Program April 19, 2012 Special Report: OAS-L-12-04 Questioned, Unresolved, and Potentially Unallowable Costs Incurred by Los

350

Calendar Year 2013 | Department of Energy  

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

February 21, 2013 February 21, 2013 Examination Report: OAS-RA-13-13 Texas State Energy Conservation Office Energy Efficiency and Conservation Block Grant Program Funds Provided by the American Recovery and Reinvestment Act of 2009 February 19, 2013 Audit Report: IG-0881 National Nuclear Security Administration Contractor Governance February 19, 2013 Examination Report: OAS-RA-13-11 Fresno County Economic Opportunities Commission Weatherization Assistance Program Funds Provided by the American Recovery and Reinvestment Act of 2009 February 19, 2013 Examination Report: OAS-RA-13-12 City of Los Angeles - Energy Efficiency and Conservation Block Grant Program Funds Provided by the American Recovery and Reinvestment Act of 2009 February 19, 2013 Examination Report: OAS-RA-13-09 North Carolina State Energy Office - Energy Efficiency and Conservation

351

Twenty Years of Energy and Environment  

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

its twentieth year on November 1. Established less than two weeks after the first OPEC oil embargo began in 1973, E&E was born into a world that was learning spectacular...

352

An evaluation of market penetration forecasting methodologies for new residential and commercial energy technologies  

SciTech Connect

Forecasting market penetration is an essential step in the development and assessment of new technologies. This report reviews several methodologies that are available for market penetration forecasting. The primary objective of this report is to help entrepreneurs understand these methodologies and aid in the selection of one or more of them for application to a particular new technology. This report also illustrates the application of these methodologies, using examples of new technologies, such as the heat pump, drawn from the residential and commercial sector. The report concludes with a brief discussion of some considerations in selecting a forecasting methodology for a particular situation. It must be emphasized that the objective of this report is not to construct a specific market penetration model for new technologies but only to provide a comparative evaluation of methodologies that would be useful to an entrepreneur who is unfamiliar with the range of techniques available. The specific methodologies considered in this report are as follows: subjective estimation methods, market surveys, historical analogy models, time series models, econometric models, diffusion models, economic cost models, and discrete choice models. In addition to these individual methodologies, which range from the very simple to the very complex, two combination approaches are also briefly discussed: (1) the economic cost model combined with the diffusion model and (2) the discrete choice model combined with the diffusion model. This discussion of combination methodologies is not meant to be exhaustive. Rather, it is intended merely to show that many methodologies often can complement each other. A combination of two or more different approaches may be better than a single methodology alone.

Raju, P.S.; Teotia, A.P.S.

1985-05-01T23:59:59.000Z

353

YearFounded 2007 | Open Energy Information  

Open Energy Info (EERE)

value "2007" Previous Results 1- 20 Next (20 | 50 | 100 | 250 | 500) 3Degrees + 5 boro biofuel + A1 Sun, Inc. + Akeida Capital Management + Also Energy + Alternative Concepts and...

354

Federal Energy Management Year in Review 2002  

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

William H. Nutting United States Marine Corps Kaneohe Bay, Hawaii William H. Nutting, Energy Manager at the Marine Corps Base at Kaneohe Bay, successfully financed the 3.5...

355

Calendar Year 2005 | Department of Energy  

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

2005 Inspection Report: IG-0671 Concerns Regarding the Department of Energy's Counterintelligence Inspection Program (U) January 11, 2005 Audit Report: OAS-L-05-02 I-MANAGE...

356

Calendar Year 2013 | Department of Energy  

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

July 18, 2013 Audit Report: OAS-RA-13-28 Costs Incurred by Selected Tribal Energy Efficiency and Conservation Block Grant Recipients July 18, 2013 Inspection Report: INS-O-13-04...

357

Calendar Year 2004 | Department of Energy  

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

January 22, 2004 Audit Report: OAS-L-04-08 Maintenance Activities at the Y-12 National Security Complex January 21, 2004 Audit Report: OAS-L-04-09 Department of Energy's...

358

Calendar Year 2013 | Department of Energy  

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

March 28, 2013 March 28, 2013 Examination Report: OAS-RA-13-17 Community Action Partnership of San Bernardino County - Weatherization Assistance Program Funds Provided by the American Recovery and Reinvestment Act of 2009 March 28, 2013 Audit Report: OAS-RA-13-16 The Department of Energy's American Recovery and Reinvestment Act Energy Efficiency and Conservation Block Grant Program-State of Colorado and County of Boulder March 22, 2013 Inspection Report: DOE-IG-0882 Approval of Contractor Executive Salaries by Department of Energy Personnel March 21, 2013 Audit Report: OAS-RA-13-15 The Department of Energy's Industrial Carbon Capture and Storage Program Funded by the American Recovery and Reinvestment Act March 20, 2013 Inspection Report: INS-O-13-03 Inspection Report - Radiological Waste Operations in Area G at Los Alamos

359

Calendar Year 2010 | Department of Energy  

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

September 15, 2010 September 15, 2010 Audit Letter Report: OAS-RA-L-10-06 The Department of Energy's American Recovery and Reinvestment Act- Georgia State Energy Program September 14, 2010 Special Report: OAS-SR-10-03 Department's Freedom of Information Act Request Process September 8, 2010 Audit Report: OAS-L-10-10 The Audit of Precious Metals at NNSA Sites September 3, 2010 Audit Report: DOE/IG-0838 Follow-up Audit on Retention and Management of the Department of Energy's Electronic Records August 27, 2010 Audit Letter Report: OAS-RA-L-10-09 Office of Science's Energy Frontier Research Centers August 23, 2010 Audit Report: OAS-L-10-08 National Nuclear Security Administration's Contracts for the Down-Blending of Highly Enriched Uranium August 16, 2010 Inspection Report: INS-O-10-03

360

ENERGY STAR Partner of the Year Awards | ENERGY STAR  

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

Small business Service providers Service and product providers Verify applications for ENERGY STAR certification Design commercial buildings Energy efficiency program...

Note: This page contains sample records for the topic "yearly energy forecasts" 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

R/ECON December 1999 Forecast RUTGERS ECONOMIC ADVISORY SERVICE  

E-Print Network (OSTI)

R/ECON December 1999 Forecast RUTGERS ECONOMIC ADVISORY SERVICE FORECAST OF DECEMBER 1999 NEW and wage growth slow later in the forecast, income growth will average 5% a year between 2000 and 2004. Over the forecast period, population growth will average 0.5% a year. The population will rise from 8

362

R/ECON July 2001 Forecast RUTGERS ECONOMIC ADVISORY SERVICE  

E-Print Network (OSTI)

R/ECON July 2001 Forecast RUTGERS ECONOMIC ADVISORY SERVICE FORECAST OF JULY 2001 NEW JERSEY each year. The R/ECONTM forecast for New Jersey looks for growth in real output of 2.6 percent years. Over the forecast period, both the construction and manufacturing sectors will lose jobs

363

R/ECON April 2001 Forecast RUTGERS ECONOMIC ADVISORY SERVICE  

E-Print Network (OSTI)

R/ECON April 2001 Forecast RUTGERS ECONOMIC ADVISORY SERVICE FORECAST OF APRIL 2001 NEW JERSEY and 2005, and by an average of 43,000 thereafter (from 2005 to 2020). The R/ECONTM forecast for New Jersey.6 percent a year over the rest of the forecast period. Personal income will rise 5.6 percent this year, down

364

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

365

Six-Year Review of Covered Products | Department of Energy  

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

Six-Year Review of Covered Products Six-Year Review of Covered Products This memorandum explains that the Energy Independence and Security Act of 2007 (EISA) requires the...

366

Calendar Year 2006 | Department of Energy  

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

August 4, 2006 August 4, 2006 Audit Report: OAS-L-06-16 The Department of Energy's Interaction with the National Coal Council August 4, 2006 Audit Report: OAS-M-06-06 Management Controls over Cesium and Strontium Capsule Disposition at the Hanford Site August 3, 2006 Inspection Report: IG-0735 Destruction of Classified Hard Drives at Sandia National Laboratory-New Mexico July 26, 2006 Inspection Report: IG-0734 Internal Controls for Excessing and Surplusing Unclassified Computers atLos Alamos National Laboratory July 19, 2006 Special Inquiry Report: SIR-0719 Special Inquiry Report Relating to the Department of Energy's Response to a Compromise of Personnel Data (OIG Case No. I061IG001) July 12, 2006 Special Report: IG-0733 Follow-Up Review of The Department of Energy's Response to Hurricanes

367

Calendar Year 2012 | Department of Energy  

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

June 18, 2012 June 18, 2012 Audit Report: IG-0867 National Nuclear Security Administration Contractors' Disability Compensation and Return-to-Work Programs May 31, 2012 Audit Report: IG-0866 Integrated Safety Management at Sandia National Laboratories May 25, 2012 Audit Report: IG-0865 Efforts by the Department of Energy to Ensure Energy-Efficient Management of its Data Centers May 22, 2012 Audit Report: OAS-RA-12-12 The Department of Energy's Clean Cities Alternative Fuel Vehicle Grant Program Funded under the American Recovery and Reinvestment Act May 21, 2012 Inspection Report: INS-L-12-03 Alleged Health and Wellness Benefit Irregularities by a Department Contractor May 17, 2012 Management Alert: IG-0864 Extended Assignments at Princeton Plasma Physics Laboratory May 10, 2012

368

Calendar Year 2010 | Department of Energy  

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

April 27, 2010 April 27, 2010 Audit Report: OAS-RA-10-08 The Department of Energy's Program to Assist Federal Buyers in the Purchasing of Energy Efficient Products April 27, 2010 Audit Letter Report: OAS-RA-L-10-04 Progress in Implementing the Advanced Batteries and Hybrid Components Program under the American Recovery and Reinvestment Act April 23, 2010 Audit Letter Report: OAS-RA-L-10-03 Audit of Moab Mill Tailings Cleanup Project April 16, 2010 Audit Letter Report: OAS-RA-L-10-02 Audit of Fermi National Accelerator Laboratory's NOvA Project April 9, 2010 Audit Report: OAS-RA-10-07 Management Alert on Environmental Management's Select Strategy for Disposition of Savannah River Site Depleted Uranium Oxides April 6, 2010 Audit Letter Report: OAS-RA-L-10-01 The Department of Energy's Management of the NSLS-II Project

369

Calendar Year 2005 | Department of Energy  

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

June 10, 2005 June 10, 2005 Audit Report: OAS-L-05-07 The Department of Energy's Annual Report to Congress on Management and Operating Contractor Employees in the Washington, D.C. Area June 3, 2005 Audit Report: OAS-M-05-06 Management Controls over Selected Departmental Critical Monitoring and Control Systems May 20, 2005 Audit Report: IG-0690 Contractor Post-Retirement Health Benefits at the Oak Ridge Reservation May 12, 2005 Audit Report: IG-0689 Selected Energy Efficiency and Renewable Energy Projects May 10, 2005 Audit Report: OAS-M-05-05 Management Controls over Patent and Royalty Income at Ames Laboratory May 9, 2005 Audit Report: OAS-L-05-06 Contractor-Provided Meals for Federal Employees May 3, 2005 Audit Report: IG-0688 National Nuclear Security Administration's Pit Disassembly and Conversion

370

Calendar Year 2005 | Department of Energy  

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

August 8, 2005 August 8, 2005 Audit Report: OAS-L-05-12 Audit Report on "Limited Life Component Exchange Program" July 29, 2005 Audit Report: OAS-L-05-10 Agreed-Upon Procedures for Federal Payroll July 29, 2005 Audit Report: IG-0696 Use of Oversight Funds by the State of Nevada and Affected Units of Local Government July 27, 2005 Inspection Report: IG-0695 Coordination of Biological Select Agent Activities at Department of Energy Facilities July 8, 2005 Audit Report: IG-0692 Management of Fossil Energy Cooperative Agreements June 24, 2005 Inspection Report: IG-0694 Protective Force Training at the Department of Energy's Oak Ridge Reservation June 17, 2005 Inspection Report: IG-0693 Review of Security at the Strategic Petroleum Reserve June 16, 2005 Audit Report: OAS-L-05-08

371

Calendar Year 2007 | Department of Energy  

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

May 22, 2007 May 22, 2007 Inspection Report: INS-O-07-01 Review of Status of Prior Export Control Recommendations at the Departmentof Energy May 18, 2007 Audit Report: IG-0765 Voluntary Separation Program at the Idaho Cleanup Project May 4, 2007 Audit Report: IG-0764 Quality Assurance Standards for the Integrated Control Network at theHanford Site's Waste Treatment Plant April 26, 2007 Audit Report: OAS-M-07-03 Management Controls over Selected Facility Contractor Travel Expenses April 11, 2007 Audit Report: OAS-L-07-11 The Department of Energy's Community and Regulatory Support Funding at the Richland April 11, 2007 Audit Report: OAS-L-07-10 Audit of the Department of Energy's Community and Regulatory Support Funding at the Carlsbad Field Office March 30, 2007 Audit Report: IG-0763

372

Calendar Year 2010 | Department of Energy  

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

October 14, 2010 October 14, 2010 Audit Report: OAS-RA-11-01 The State of Illinois Weatherization Assistance Program October 7, 2010 Audit Report: IG-0842 Report on Critical Asset Vulnerability and Risk Assessments at the Power Marketing Administrations--Followup Audit September 30, 2010 Audit Report: IG-0841 The Department's Information Technology Capital Planning and Investment Control Activities September 30, 2010 Audit Report: OAS-L-10-09 Subcontract Auditing at Lawrence Livermore National Laboratory September 29, 2010 Audit Report: OAS-RA-10-18 Management Controls over the Department of Energy's American Recovery and Reinvestment Act - Michigan State Energy Program September 23, 2010 Audit Report: IG-0840 The Department of Energy's Audit Resolution and Follow-up Process September 22, 2010

373

U.S. Regional Demand Forecasts Using NEMS and GIS  

SciTech Connect

The National Energy Modeling System (NEMS) is a multi-sector, integrated model of the U.S. energy system put out by the Department of Energy's Energy Information Administration. NEMS is used to produce the annual 20-year forecast of U.S. energy use aggregated to the nine-region census division level. The research objective was to disaggregate this regional energy forecast to the county level for select forecast years, for use in a more detailed and accurate regional analysis of energy usage across the U.S. The process of disaggregation using a geographic information system (GIS) was researched and a model was created utilizing available population forecasts and climate zone data. The model's primary purpose was to generate an energy demand forecast with greater spatial resolution than what is currently produced by NEMS, and to produce a flexible model that can be used repeatedly as an add-on to NEMS in which detailed analysis can be executed exogenously with results fed back into the NEMS data flow. The methods developed were then applied to the study data to obtain residential and commercial electricity demand forecasts. The model was subjected to comparative and statistical testing to assess predictive accuracy. Forecasts using this model were robust and accurate in slow-growing, temperate regions such as the Midwest and Mountain regions. Interestingly, however, the model performed with less accuracy in the Pacific and Northwest regions of the country where population growth was more active. In the future more refined methods will be necessary to improve the accuracy of these forecasts. The disaggregation method was written into a flexible tool within the ArcGIS environment which enables the user to output the results in five year intervals over the period 2000-2025. In addition, the outputs of this tool were used to develop a time-series simulation showing the temporal changes in electricity forecasts in terms of absolute, per capita, and density of demand.

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

2005-07-01T23:59:59.000Z

374

Energy Infrastructure Events and Expansions Year-in-Review 2011...  

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

Year-in-Review 2011 Available (April 2012) May 1, 2012 - 3:15pm Addthis The Office of Electricity Delivery and Energy Reliability has released the Energy Infrastructure Events...

375

Year-in-Review: 2012 Energy Infrastructure Events and Expansions  

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

The Year-in-Review (YIR): 2012Energy Infrastructure Events and Expansionsreport provides a summary of significant energy disruptions and infrastructure changes that occurred in the United States...

376

Photovoltaic Energy Program Overview, Fiscal Year 2000  

DOE Green Energy (OSTI)

This ''annual report'' details the FY 2000 achievements of the U.S. Department of Energy PV Program in the categories of Research and Development, Technology Development, and Systems Engineering and Applications. Highlights include development of a record-breaking concentrator solar cell that is 32.4% efficient; fabrication of a record CIGS (copper indium gallium diselenide) cell at 18.8% efficiency; sharing an R and D 100 award with Siemens Solar Industries and the California Energy Commission for development and deployment of commercial CIS thin-film modules; and support for the efforts of the PV Industry Roadmap Workshop.

Weis-Taylor, P.

2001-03-02T23:59:59.000Z

377

Profiling 1366 Technologies: One Year Later | Department of Energy  

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

performer, 1366 Technologies is working to dramatically reduce the cost of solar energy. A year later, we revisited their headquarters in Lexington, MA to see the progress...

378

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

379

National Renewable Energy Laboratory: 35 Years of Innovation (Brochure)  

DOE Green Energy (OSTI)

This brochure is an overview of NREL's innovations over the last 35 years. It includes the lab's history and a description of the laboratory of the future. The National Renewable Energy Laboratory (NREL) is the U.S. Department of Energy's (DOE) primary national laboratory for renewable energy and energy efficiency. NREL's work focuses on advancing renewable energy and energy efficiency technologies from concept to the commercial marketplace through industry partnerships. The Alliance for Sustainable Energy, LLC, a partnership between Battelle and MRIGlobal, manages NREL for DOE's Office of Energy Efficiency and Renewable Energy.

Not Available

2012-04-01T23:59:59.000Z

380

National Renewable Energy Laboratory: 35 Years of Innovation (Brochure)  

SciTech Connect

This brochure is an overview of NREL's innovations over the last 35 years. It includes the lab's history and a description of the laboratory of the future. The National Renewable Energy Laboratory (NREL) is the U.S. Department of Energy's (DOE) primary national laboratory for renewable energy and energy efficiency. NREL's work focuses on advancing renewable energy and energy efficiency technologies from concept to the commercial marketplace through industry partnerships. The Alliance for Sustainable Energy, LLC, a partnership between Battelle and MRIGlobal, manages NREL for DOE's Office of Energy Efficiency and Renewable Energy.

2012-04-01T23:59:59.000Z

Note: This page contains sample records for the topic "yearly energy forecasts" 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

Photovoltaic energy program overview: Fiscal year 1994  

DOE Green Energy (OSTI)

This is the 1994 overview for the Photovoltaic Energy Program. The topics of this overview include cooperative research projects to improve PV systems and develop pre-commercial prototypes of new PV products, expanding understanding of the fundamental mechanisms governing the formation and performance of PV materials, and helping US industry enhance its leadership position in the PV market.

NONE

1995-03-01T23:59:59.000Z

382

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

383

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

384

> 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

385

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

386

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

387

Wind Energy Program overview, Fiscal year 1993  

Science Conference Proceedings (OSTI)

Wind energy research has two goals: (1) to gain a fundamental understanding of the interactions between wind and wind turbines; and (2) to develop the basic design tools required to develop advanced technologies. A primary objective of applied research activities is to develop sophisticated computer codes and integrate them into the design, testing, and evaluation of advanced components and systems, Computer models have become a necessary and integral part of developing new high-tech wind energy systems. A computer-based design strategy allows designers to model different configurations and explore new designs before building expensive hardware. DOE works closely with utilities and the wind industry in setting its applied research agenda. As soon as research findings become available, the national laboratories transfer the information to industry through workshops, conferences, and publications.

Not Available

1994-05-01T23:59:59.000Z

388

Average regional end-use energy price projections to the year 2030  

Science Conference Proceedings (OSTI)

The energy prices shown in this report cover the period from 1991 through 2030. These prices reflect sector/fuel price projections from the Annual Energy Outlook 1991 (AEO) base case, developed using the Energy Information Administration's (EIA) Intermediate Future Forecasting System (IFFS) forecasting model. Projections through 2010 are AEO base case forecasts. Projections for the period from 2011 through 2030 were developed separately from the AEO for this report, and the basis for these projections is described in Chapter 3. Projections in this report include average energy prices for each of four Census Regions for the residential, commercial, industrial, and transportation end-use sectors. Energy sources include electricity, distillate fuel oil, liquefied petroleum gas, motor gasoline, residual fuel oil, natural gas, and steam coal. (VC)

Not Available

1991-01-01T23:59:59.000Z

389

Average regional end-use energy price projections to the year 2030  

SciTech Connect

The energy prices shown in this report cover the period from 1991 through 2030. These prices reflect sector/fuel price projections from the Annual Energy Outlook 1991 (AEO) base case, developed using the Energy Information Administration`s (EIA) Intermediate Future Forecasting System (IFFS) forecasting model. Projections through 2010 are AEO base case forecasts. Projections for the period from 2011 through 2030 were developed separately from the AEO for this report, and the basis for these projections is described in Chapter 3. Projections in this report include average energy prices for each of four Census Regions for the residential, commercial, industrial, and transportation end-use sectors. Energy sources include electricity, distillate fuel oil, liquefied petroleum gas, motor gasoline, residual fuel oil, natural gas, and steam coal. (VC)

Not Available

1991-12-31T23:59:59.000Z

390

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

391

Department of Energy award DE-SC0004164 Climate and National Security: Securing Better Forecasts  

SciTech Connect

The Climate and National Security: Securing Better Forecasts symposium was attended by senior policy makers and distinguished scientists. The juxtaposition of these communities was creative and fruitful. They acknowledged they were speaking past each other. Scientists were urged to tell policy makers about even improbable outcomes while articulating clearly the uncertainties around the outcomes. As one policy maker put it, we are accustomed to making these types of decisions. These points were captured clearly in an article that appeared on the New York Times website and can be found with other conference materials most easily on our website, www.scripps.ucsd.edu/cens/. The symposium, generously supported by the NOAA/JIMO, benefitted the public by promoting scientifically informed decision making and by the transmission of objective information regarding climate change and national security.

Reno Harnish

2011-08-16T23:59:59.000Z

392

Property:Incentive/SWHComYears | Open Energy Information  

Open Energy Info (EERE)

SWHComYears SWHComYears Jump to: navigation, search Property Name Incentive/SWHComYears Property Type String Description The number of years of energy production to which the commercial incentive applies. For commercial/Non-profit/gov't systems, this is may be an upfront rebate based on an estimate of first-year production or this may be actual measured output over several years. Ex: APS's (AZ) RE incentive for commercial SWH is $0.057/kWh over 10 years. Format: 10.0 [1] References ↑ DSIRE Pages using the property "Incentive/SWHComYears" Showing 21 pages using this property. A APS - Renewable Energy Incentive Program (Arizona) + 1 + C CPS Energy - Solar Hot Water Rebate Program (Texas) + 1 + California Solar Initiative - Solar Thermal Program (California) + 1 +

393

New Year, New Certification Opportunities for Home Energy Workers |  

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

New Year, New Certification Opportunities for Home Energy Workers New Year, New Certification Opportunities for Home Energy Workers New Year, New Certification Opportunities for Home Energy Workers January 2, 2014 - 10:23am Addthis Trainees practice techniques on miniature model homes at the New River Center for Energy Research & Training in Christiansburg, Virginia. The Energy Department has developed a new certification program for quality control inspectors, energy auditors, crew leaders, and retrofit installer technicians, as part of the Weatherization Assistance Program's Guidelines for Home Energy Professionals project. | Photo courtesy of Weatherization Assistance Program Technical Assistance Center Trainees practice techniques on miniature model homes at the New River Center for Energy Research & Training in Christiansburg, Virginia. The

394

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

395

Property:YearFounded | Open Energy Information  

Open Energy Info (EERE)

YearFounded YearFounded Jump to: navigation, search This is a property of type Date. The allowed values for this property are: 2013 2012 2011 2010 2009 2008 2007 2006 2005 2004 2003 2002 2001 2000 1999 1998 1997 1996 1995 1994 1993 1992 1991 1990 1989 1988 1987 1986 1985 1984 1983 1982 1981 1980 1979 1978 1977 1976 1975 1974 1973 1972 1971 1970 1969 1968 1967 1966 1965 1964 1963 1962 1961 1960 1959 1958 1957 1956 1955 1954 1953 1952 1951 1950 1949 1948 1947 1946 1945 1944 1943 1942 1941 1940 1939 1938 1937 1936 1935 1934 1933 1932 1931 1930 1929 1928 1927 1926 1925 1924 1923 1922 1921 1920 1919 1918 1917 1916 1915 1914 1913 1912 1911 1910 1909 1908 1907 1906 1905 1904 1903 1902 1901 1900 1899 1898 1897 1896 1895 1894 1893 1892 1891 1890 1889 1888 1887 1886 1885 1884 1883 1882 1881 1880 1879 1878 1877 1876 1875 1874 1873 1872 1871 1870 1869 1868 1867 1866 1865 1864 1863 1862 1861 1860 1859 1858 1857 1856 1855 1854

396

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

397

Browse wiki | Open Energy Information  

Open Energy Info (EERE)

Environmental Forecast Group Inc (3TIER) + , Energy Company + , Renewable Energy + , Seattle-based + , renewable energy assessment and forecasting company. + , Seattle + ,...

398

Calendar Year 1999 | Department of Energy  

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

1999 1999 Calendar Year 1999 Documents marked with the * are published in Adobe PDF format. 1999-12-22 - Report IG-0455: * Inspection Report on "Inspection of the Sale of a Paragon Supercomputer by Sandia National Laboratories" 1999-12-16 - Report INS-O-00-02: * Inspection Report on "Inspection of Alleged Improprieties Regarding Issuance of a Contract" 1999-12-15 - Report IG-0454:* Audit Report on "Waste Incineration at the Idaho National Engineering and Environmental Laboratory" 1999-12-10 - Report WR-B-OO-02:* Audit Report on "Properties and Facilities at Grand Junction" 1999-11-30 - Report INS-O-00-01:* Inspection Report on "Inspection of Selected Issues of the Chem-Bio Facility at the Oak Ridge National Laboratory"

399

Calendar Year 2004 | Department of Energy  

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

4 4 Calendar Year 2004 RSS December 14, 2004 Audit Report: IG-0669 Use and Management of Mobile Communications Services December 10, 2004 Audit Report: OAS-L-05-01 Federal Managers' Financial Integrity Act Audit Report December 8, 2004 Inspection Report: IG-0668 Concerns Regarding Academic Programs at the Bonneville Power Administration and the Savannah River Operations Office November 30, 2004 Special Report: IG-0667 Management Challenges at the Department November 30, 2004 Audit Report: IG-0666 Audit Report on "The Los Alamos Neutron Science Center October 28, 2004 Audit Report: IG-0665 Restoration of the Monticello Mill Site at Monticello, Utah September 27, 2004 Audit Report: IG-0664 Property Disposals at the Yucca Mountain Project September 24, 2004 Inspection Report: IG-0663

400

Calendar Year 2003 | Department of Energy  

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

March 31, 2003 March 31, 2003 Inspection Report: IG-0594 Emergency Medical Coordination Memorandum of Agreement at Brookhaven National Laboratory March 20, 2003 Inspection Report: IG-0591 Allegations Concerning the Reporting of a Radiological Incident at the Los Alamos National Laboratory March 13, 2003 Audit Report: IG-0590 Refurbishment of the W80 - Weapon Type March 11, 2003 Audit Report: IG-0589 Transfer of Excess Personal Property From the Nevada Test Site to the Community Reuse Organization March 5, 2003 Audit Report: OAS-L-03-12 Department of Energy's Safety Bases for Nuclear Facilities March 3, 2003 Audit Report: IG-0588 Treatment of Mixed Incinerable Waste March 1, 2003 Inspection Report: IG-0592 Actions Taken in Response to Missing Hazardous Waste Containing Cyanide February 26, 2003

Note: This page contains sample records for the topic "yearly energy forecasts" 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

Calendar Year 2010 | Department of Energy  

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

August 10, 2010 August 10, 2010 Audit Report: IG-0837 Nuclear Safety: Safety Basis and Quality Assurance at the Los Alamos National Laboratory August 4, 2010 Special Report: OAS-RA-10-15 Review of the Department of Energy's Plan for Obligating Remaining Recovery Act Contract and Grant Funding July 29, 2010 Special Report: OAS-SR-10-02 Resolution of Questioned, Unresolved and Potentially Unallowable Costs Incurred in Support of the YuccaMountain Project July 29, 2010 Inspection Report: INS-O-10-02 Severance Repayments at the Savannah River Site July 28, 2010 Letter Report: INS-L-10-02 Allegations Involving the National Nuclear Security Administration's National Security Vault July 22, 2010 Audit Report: OAS-RA-10-14 Management Controls over the Development and Implementation of the Office

402

Calendar Year 2003 | Department of Energy  

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

September 25, 2003 September 25, 2003 Inspection Report: IG-0621 Firearms Internal Controls at the Lawrence Livermore National Laboratory September 25, 2003 Audit Report: OAS-L-03-22 Audit of Relocation of Administrative Personnel from A-Area to B-Area at the Savannah River Site September 22, 2003 Audit Report: OAS-L-03-21 Evaluation of "The Federal Energy Regulatory Commission's Cyber Security Program-2003" September 16, 2003 Inspection Report: IG-0619 The Security Afforded Selected Tritium Reservoir Shipments (U) September 16, 2003 Evaluation Report: IG-0620 The Department's Unclassified Cyber Security Program-2003 September 11, 2003 Audit Report: OAS-L-03-20 Audit of Procurement Administration at the Oak Ridge National Laboratory September 4, 2003 Audit Report: IG-0618

403

Calendar Year 2005 | Department of Energy  

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

April 15, 2005 April 15, 2005 Audit Report: IG-0685 The Retention and Management of the Department's Records April 14, 2005 Audit Report: IG-0684 Deactivating and Decommissioning Facilities at the Savannah River Site March 31, 2005 Audit Report: OAS-L-05-04 Review of the Department's Controls over Services Acquired through Memoranda of Agreement with Other Federal Agencies and Blanket Purchase Agreements March 30, 2005 Audit Report: OAS-L-05-05 Audit of the Spallation Neutron Source Project March 29, 2005 Special Report: IG-0683 Fast Flux Test Reactor: Re-evaluation of the Department's Approach to Deactivation, Decontamination, and Decommissioning March 24, 2005 Inspection Report: IG-0682 The Department of Energy's Review of Chemical and Biological Export License Applications March 24, 2005

404

Calendar Year 2007 | Department of Energy  

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

July 12, 2007 July 12, 2007 Investigation Memorandum: OIG Case No. I07AL011 Investigation of Alleged False Certifications Relating to Testing of the Contingency Protective Force at the Pantex Plant, OIG Case No. I07AL011 July 11, 2007 Audit Letter Report: INS-L-07-07 Alleged Unneccessary Protecitve Force Equipment Purchases at Pantex July 9, 2007 Audit Report: OAS-L-07-14 Agreed-Upon Procedures for Federal Payroll June 29, 2007 Inspection Report: IG-0769 Management of the Workers Compensation Program at Department of Energy Headquarters June 22, 2007 Audit Report: IG-0768 Facility Contractor Acquisition and Management of Information Technology Hardware June 19, 2007 Special Report: IG-0767 Expansion of the Strategic Petroleum Reserve June 4, 2007 Audit Report: OAS-M-07-04 Follow-Up Audit of the National Nuclear Security Administration's

405

Calendar Year 2003 | Department of Energy  

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

February 19, 2003 February 19, 2003 Audit Report: OAS-L-03-10 Audit of the Research and Development Investment Criteria for Fossil Energy February 12, 2003 Inspection Report: S021S013 Inspection Report to Management on Inspection of 2001 Safeguards and Security Survey of Los Alamos National Laboratory February 12, 2003 Inspection Report: IG-0585 Inspection of Implementation of Corrective Actions Resulting From Force-on-Force Performance Tests February 1, 2003 Annual Performance Plan: IG-APP-005 Planning for and Measuring Office of Inspector General Results FY 2002 Annual Performance Report and FY 2003 Annual Performance Plan January 28, 2003 Special Inquiry: IG-0584 Operations at Los Alamos National Laboratory January 27, 2003 Audit Report: IG-0583 Management of Beryllium Metal Supply

406

Calendar Year 2004 | Department of Energy  

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

June 30, 2004 June 30, 2004 Audit Report: IG-0653 Management of Oak Ridge Radio Transition Projects June 30, 2004 Audit Report: IG-0652 Management of the Federal Energy Regulatory Commission's Information Technology Program June 18, 2004 Audit Report: IG-0651 Audit Report on Management of the Department's Personnel Security and Access Control Information Systems June 14, 2004 Inspection Report: IG-0650 Internal Controls Over Methamphetamine Precursor Chemicals at the Y-12 National Security Complex and the Oak Ridge National Laboratory June 1, 2004 Investigation Report: I04RL003 Investigation of Allegations Involving Occupational Medical Services and Tank Farm Vapor Exposures at the Hanford Site May 25, 2004 Audit Report: IG-0649 Major Clean-up Projects at the Idaho National Engineering and Environmental

407

Calendar Year 2004 | Department of Energy  

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

September 24, 2004 September 24, 2004 Audit Report: OAS-L-04-21 Evaluation of "The Federal Energy Regulatory Commission's Cyber Security Program - 2004" September 24, 2004 Evaluation Report: IG-0662 Evaluation Report on "The Department's Unclassified Cyber Security Program - 2004 September 23, 2004 Audit Report: OAS-L-04-23 Audit of the National Nuclear Security Administration's Tritium Production Plan Administrator, National Nuclear Security Administration September 22, 2004 Audit Report: OAS-M-04-07 Management Controls over Contractor Tuition Reimbursements for Courses Leading to Degrees at Non-Accredited Educational Institutions September 22, 2004 Audit Report: OAS-L-04-22 Completion of the Terascale Simulation Facility Project September 14, 2004 Audit Report: IG-0661

408

Calendar Year 2008 | Department of Energy  

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

October 30, 2008 October 30, 2008 Audit Report: IG-0803 Management of the Department's Data Centers at Contractor Sites September 30, 2008 Audit Report: OAS-L-08-17 Special Review on "Petroleum-Based Fuels Use" September 17, 2008 Evaluation Report: IG-0802 The Federal Energy Regulatory Commission's Unclassified Cyber Security Program - 2008 September 16, 2008 Evaluation Report: IG-0801 The Department's Unclassified Cyber Security Program - 2008 September 5, 2008 Inspection Report: INS-L-08-06 Sandia National Laboratory-New Mexico Student Intern Safety Training August 18, 2008 Audit Report: OAS-L-08-16 Agreed-Upon Procedures for Federal Payroll August 11, 2008 Audit Report: IG-0800 Certification and Accreditation of the Department's National Security Information Systems August 7, 2008

409

Calendar Year 2005 | Department of Energy  

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

March 8, 2005 March 8, 2005 Audit Report: OAS-M-05-03 Management Controls over Alternative Financing for Office and Support Facilities at Y-12 February 22, 2005 Inspection Report: IG-0677 Security and Other Issues Related to Out-Processing of Employees at Los Alamos National Laboratory February 18, 2005 Audit Report: OAS-L-05-03 Audit of the Office of Science Security Procedures February 14, 2005 Audit Report: OAS-M-05-02 Management Controls over Western Area Power Administration's Central Valley Project Transmission Services February 14, 2005 Audit Report: IG-0676 Department of Energy Contractor Home Office Expenses February 11, 2005 Inspection Report: IG-0674 Unauthorized Handguns on the Nevada Test Site February 11, 2005 Audit Report: IG-0675 The Department's Federal Purchase Card Program at Headquarters

410

Calendar Year 2004 | Department of Energy  

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

April 22, 2004 April 22, 2004 Audit Report: IG-0647 System Development Activities at Selected Management Contractors April 22, 2004 Audit Report: OAS-L-04-15 Audit of Disposition of Excess Facilities at the Hanford Site April 19, 2004 Audit Report: OAS-M-04-02 Management Controls Over Subcontract Administration by the National Renewable Energy Laboratory April 19, 2004 Audit Report: OAS-L-04-14 Review of Selected Issues Pertaining to Vapor Inhalation Allegations at the Hanford Site April 14, 2004 Audit Report: IG-0646 The National Nuclear Security Administration's Enhanced Surveillance Campaign April 13, 2004 Inspection Report: IG-0645 Contractor Compliance with Deemed Export Controls April 12, 2004 Special Report: IG-0644 Los Alamos National Laboratory's Purchase Card Program Corrective Actions

411

Calendar Year 2007 | Department of Energy  

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

October 25, 2007 October 25, 2007 Inspection Report: IG-0780 Work Order Estimate and Cost Issues for Site Support Services at Los AlamosNational Laboratory October 18, 2007 Audit Report: IG-0779 Selected Aspects of the East Tennessee Technology Park's Security Clearance Retention Process October 11, 2007 Audit Report: OAS-L-08-01 Follow-up on the Depleted Uranium Process Y-12 National Security Complex October 2, 2007 Inspection Report: IG-0778 Inspection Report on The Consolidated Terrorism Watchlist Nomination Process at the Department of Energy October 1, 2007 Audit Report: OAS-M-08-01 Management Controls over the Bonneville Power Administration's Personal Property Accountability September 28, 2007 Audit Letter Report: OAS-L-07-26 Department's Implementation of the Strategic Integrated Procurement

412

Calendar Year 2003 | Department of Energy  

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

August 11, 2003 August 11, 2003 Inspection Report: IG-0615 Oversight of Shock Sensitive Chemicals at the Department's Ames Laboratory August 5, 2003 Audit Report: IG-0614 National Nuclear Security Administration's Planning, Programming, Budgeting, and Evaluation Process July 18, 2003 Audit Report: IG-0613 Disposal of Remote-Handled Transuranic Waste at the Waste Isolation Pilot Plant July 8, 2003 Audit Report: IG-0612 Disposal of the Rocky Flats Environmental Technology Site's Low-Level Mixed Waste July 7, 2003 Audit Report: IG-0611 Waste Reduction Plans for the Advanced Mixed Waste Treatment Project at the Idaho National Engineering and Environmental Laboratory June 27, 2003 Special Inquiry: IG-0610 Federal Energy Regulatory Commission Communications June 25, 2003 Audit Report: IG-0609

413

Calendar Year 2003 | Department of Energy  

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

November 20, 2003 November 20, 2003 Audit Report: OAS-L-04-05 Audit of Controls Over Expenditures Within the Office of Secure Transportation November 12, 2003 Special Report: IG-0626 Management Challenges at the Department of Energy November 7, 2003 Audit Report: OAS-L-04-04 Audit of the U.S. Large Hadron Collider Program November 4, 2003 Inspection Report: IG-0625 Reporting of Security Incidents at the Lawrence Livermore National Laboratory November 4, 2003 Audit Report: OAS-L-04-03 Audit of Accelerated Remediation of Tank Waste at Hanford October 23, 2003 Audit Report: IG-0624 Transuranic Waste Retrieval and Processing at the Hanford Site October 16, 2003 Audit Report: OAS-L-04-02 Waste Pits and Silos Remediation at the Femald Closure Project October 14, 2003 Audit Report: IG-0623

414

Black Friday Savings All Year 'Round | Department of Energy  

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

Black Friday Savings All Year 'Round Black Friday Savings All Year 'Round Black Friday Savings All Year 'Round November 21, 2011 - 3:58pm Addthis Chris Stewart Senior Communicator at DOE's National Renewable Energy Laboratory On Friday, shoppers across the country will flock to stores and retailers seeking the best bargains of the holiday season. Many will scour newspapers and online coupon sites seeking the deepest discounts and greatest deals. In case you'll be among these millions of consumers, don't forget buying energy efficient products will bring you savings all year 'round. When it comes to shopping for and comparing energy-efficient appliances and home electronics, look for the ENERGY STAR® and EnergyGuide labels. ENERGY STAR labels appear on appliances and home electronics that meet strict

415

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

416

Photovoltaic energy: Program overview, fiscal year 1990  

DOE Green Energy (OSTI)

This summary is prepared each year to provide an overview of the government-funded activities within the National Photovoltaics Program. The 1990 PV Program Achievements are listed. Launched the PV Manufacturing Technology initiative, designed to systematically lower PV module costs. Inaugurated the PV Concentrator Technologies Initiative by signing eight multiyear, cost-shared technology development subcontracts with concentrator companies. Established the PV Polycrystalline Thin-Film Initiative by signing six multiyear, cost-shared technology development subcontracts with six polycrystalline thin-film companies. Continued the Amorphous Silicon Project by awarding three new research and development contracts. Focused the resources of three program laboratories on finding solutions to industry's manufacturing problems: the Photovoltaic Device Fabrication Laboratory at Sandia National Laboratories and the Module Failure Analysis Laboratory and the Encapsulant Research Laboratory at SERI. Established an ongoing program to assist utilities in using PV for cost-effective, high-value applications. Completed nearly all of the construction planned for the first phase of PVUSA at Davis, California. Worked with the crystalline silicon PV industry on novel, low-cost cell fabrication processes and on resolving encapsulant problems. Took part in the development of qualification procedures tests for thin- and thick-film flat-plate modules and concentrator modules.

Not Available

1991-07-01T23:59:59.000Z

417

Improving Energy Use Forecast for Campus Micro-grids using Indirect Indicators Department of Computer Science  

E-Print Network (OSTI)

] and electricity forms 38% of total energy usage in the US [2]. Adoption of energy- efficient measures in buildings electricity usage and facility improvements with an eye on reducing their energy footprint and power usage costs. Energy analysis modeling of buildings is either based on steady state or dynamic conditions

Prasanna, Viktor K.

418

Vapnik's learning theory applied to energy consumption forecasts in residential buildings  

Science Conference Proceedings (OSTI)

For the purpose of energy conservation, we present in this paper an introduction to the use of support vector (SV) learning machines used as a data mining tool applied to buildings energy consumption data from a measurement campaign. Experiments using ... Keywords: data mining, energy conservation, energy efficiency, predictive modelling, statistical learning theory

Florence Lai; Frederic Magoules; Fred Lherminier

2008-10-01T23:59:59.000Z

419

Missing wind data forecasting with adaptive neuro-fuzzy inference system  

Science Conference Proceedings (OSTI)

In any region, to begin generating electricity from wind energy, it is necessary to determine the 1-year distribution characteristics of wind speed. For this aim, a wind observation station must be constructed and 1-year wind speed and direction data ... Keywords: ANFIS, Back-propagation, Forecasting, Missing data, Wind energy, Wind speed

Fatih O. Hocaoglu; Yusuf Oysal; Mehmet Kurban

2009-02-01T23:59:59.000Z

420

Federal Geothermal Research Program Update - Fiscal Year 2004 | Open Energy  

Open Energy Info (EERE)

Geothermal Research Program Update - Fiscal Year 2004 Geothermal Research Program Update - Fiscal Year 2004 Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Report: Federal Geothermal Research Program Update - Fiscal Year 2004 Details Activities (91) Areas (26) Regions (0) Abstract: The Department of Energy (DOE) and its predecessors have conducted research and development (R&D) in geothermal energy since 1971. The Geothermal Technologies Program (GTP) works in partnership with industry to establish geothermal energy as an economically competitive contributor to the U.S. energy supply. Geothermal energy production, a $1.5 billion a year industry, generates electricity or provides heat for direct use applications. The technologies developed by the Geothermal Technologies Program will provide the Nation with new sources of electricity that are

Note: This page contains sample records for the topic "yearly energy forecasts" 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

Media Briefing: Fiscal Year 2012 Budget | Department of Energy  

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

Media Briefing: Fiscal Year 2012 Budget Media Briefing: Fiscal Year 2012 Budget Media Briefing: Fiscal Year 2012 Budget Addthis Description US Department of Energy Secretary Steven Chu holds a media briefing on the Fiscal Year 2011 Budget. Speakers Secretary Steven Chu Duration 46:52 Topic Energy Economy Recovery Act Energy Policy Credit Energy Department Video Slides Secretary Chu's FY 2012 Budget Briefing SECRETARY STEVEN CHU: And good afternoon. We'd like to unveil our 2012 budget overview. So let me just begin. This budget is about winning the future. The president has spoken that it takes time to compete for jobs in the industries of our time. And he points out that the United States is going to be in a race with the rest of the world. And in order to win this race, a race for our future prosperity, our energy security, our security

422

Vampire Power Is Scary All Year Round | Department of Energy  

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

Vampire Power Is Scary All Year Round Vampire Power Is Scary All Year Round Vampire Power Is Scary All Year Round November 8, 2010 - 12:46pm Addthis Chris Stewart Senior Communicator at DOE's National Renewable Energy Laboratory Last week, U.S. Department of Energy Secretary Steven Chu posted information about slaying energy vampires on his Facebook page. (He also posted a picture of himself as a zombie, which is also is very scary!) Energy vampires are appliances that even when turned off utilize a small amount of electricity, called phantom loads. According to this YouTube video posted by GOOD, Americans waste approximately one month's electricity bill each year on vampire energy. Some estimates suggest that Americans have anywhere between 20-40 vampire devices throughout their homes. I recently surveyed my apartment and found

423

R/ECON October 2000 Forecast RUTGERS ECONOMIC ADVISORY SERVICE  

E-Print Network (OSTI)

R/ECON October 2000 Forecast RUTGERS ECONOMIC ADVISORY SERVICE FORECAST OF OCTOBER 2000 NEW JERSEY and 2002, with 84,800 jobs being added over the two-year period. The R/ECON TM forecast for New Jersey the rest of the forecast period as foreign immigration declines and the population ages. In the next 10

424

R/ECON April 2000 Forecast RUTGERS ECONOMIC ADVISORY SERVICE  

E-Print Network (OSTI)

R/ECON April 2000 Forecast RUTGERS ECONOMIC ADVISORY SERVICE FORECAST OF APRIL 2000 NEW JERSEY to more inflation and higher interest rates. The R/ECON TM forecast for New Jersey looks for employment.6% a year over the forecast period. The services and trade sectors will provide 90% of the net increase

425

FTCP Annual Report - Fiscal Year 2004 | Department of Energy  

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

4 4 FTCP Annual Report - Fiscal Year 2004 The U.S. Department of Energy (DOE) is committed to ensuring employees are trained and technically capable of performing their duties. In pursuit of this objective, the Secretary of Energy issued DOE Policy 426.1, Federal Technical Capability Policy for Defense Nuclear Facilities, to institutionalize the Federal Technical Capability Program. Report summarizes the yearly actions taken to ensure organizations maintain their critical technical capabilities needed for the safe operations of defense nuclear facilities. FTCP 2004 Annual Report More Documents & Publications FTCP Annual Plan - Fiscal Year 2005 Technical Qualification Program Self-Assessment Report - Sandia Site Office FTCP Annual Report - Calendar Year 2007

426

Load forecasting framework of electricity consumptions for an Intelligent Energy Management System in the user-side  

Science Conference Proceedings (OSTI)

This work presents an electricity consumption-forecasting framework configured automatically and based on an Adaptative Neural Network Inference System (ANFIS). This framework is aimed to be implemented in industrial plants, such as automotive factories, ... Keywords: ANFIS, Forecasting, Genetic algorithm, Intelligent EMS, Modelling

Juan J. Crdenas; Luis Romeral; Antonio Garcia; Fabio Andrade

2012-04-01T23:59:59.000Z

427

Monthly energy review  

SciTech Connect

The U.S. energy market for the first quarter of 1988 is discussed. Production, energy consumption, imports, price adjustments, and forecasts for the rest of the year are given.

1988-03-01T23:59:59.000Z

428

The development of a statistical forecast model for Changma  

Science Conference Proceedings (OSTI)

Forecasting year-to-year variation in East Asian summer monsoon (EASM) precipitation is one of the most challenging tasks in climate prediction because predictors are not sufficiently well known and forecast skill by numerical models is poor. In ...

Seung-Eon Lee; Kyong-Hwan Seo

429

Union Carbide's 20 years in nuclear energy, part 1  

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

of publication here in full. The title of the document is Union Carbide's 20 years in nuclear energy. "The Y-12 Plant was built on a "crash" basis during World War II to...

430

California Regional Wind Energy Forecasting System Development, Volume 1: Executive Summary  

Science Conference Proceedings (OSTI)

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

2006-11-14T23:59:59.000Z

431

California Regional Wind Energy Forecasting System Development, Volume 4: California Wind Generation Research Dataset (CARD)  

Science Conference Proceedings (OSTI)

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

2006-11-13T23:59:59.000Z

432

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

433

Annual Energy Outlook 2009 - Year-by-Year High Economic Growth Case Tables  

Gasoline and Diesel Fuel Update (EIA)

High Macroeconomic Growth Case Tables (2006-2030) High Macroeconomic Growth Case Tables (2006-2030) Annual Energy Outlook 2009 with Projections to 2030 XLS GIF Spreadsheets are provided in Excel Year-by-Year High Economic Growth Case Tables (2006-2030) Table Title Formats Summary High Economic Growth Case Tables PDF GIF High Economic Growth Case Tables XLS GIF Table 1. Total Energy Supply and Disposition Summary XLS GIF Table 2. Energy Consumption by Sector and Source XLS GIF Table 3. Energy Prices by Sector and Source XLS GIF Table 4. Residential Sector Key Indicators and Consumption XLS GIF Table 5. Commercial Sector Indicators and Consumption XLS GIF Table 6. Industrial Sector Key Indicators and Consumption XLS GIF Table 7. Transportation Sector Key Indicators and Delivered Energy Consumption XLS GIF Table 8. Electricity Supply, Disposition, Prices, and Emissions

434

Wind Farm Growth Through the Years | Department of Energy  

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

Wind Farm Growth Through the Years Wind Farm Growth Through the Years Wind Farm Growth Through the Years August 6, 2013 - 8:32am Addthis 1975 Start Slow Stop Year Wind Farms Homes Powered Added Current Year 815 Wind Farms Online. Enough to Power 15 M Homes Data provided by the EIA. The number of homes powered is estimated through conversion factors provided by the EIA. Daniel Wood Daniel Wood Data Integration Specialist As we publish the 2012 Wind Technologies Market Report, we are excited to break down some recent EIA data not included in the report that shows significant wind farm growth across the nation. 2012 was a big year for wind energy. In total, 143 wind farms either came on line or added capacity in 2012, bringing the total number to 815. This brought the country's total wind capacity to more than 60 GW, enough energy to power about 15

435

Energy consumption forecasting in process industry using support vector machines and particle swarm optimization  

Science Conference Proceedings (OSTI)

In this paper, Support Vector Machines (SVMs) are applied in predicting energy consumption in the first phase of oil refining at a particular oil refinery. During cross-validation process of the SVM training Particle Swarm Optimization (PSO) algorithm ... Keywords: energy prediction, particle swarm optimization (PSO), support vector machines (SVM)

Milena R. Petkovi?; Milan R. Rapai?; Boris B. Jakovljevi?

2009-09-01T23:59:59.000Z

436

Thoughts on a Two-Year Race | Department of Energy  

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

Thoughts on a Two-Year Race Thoughts on a Two-Year Race Thoughts on a Two-Year Race October 5, 2011 - 10:06am Addthis Drew Bittner Web Manager, Office of Energy Efficiency and Renewable Energy If you were in Washington, D.C. this past week, you probably heard about or even attended our biannual Solar Decathlon. This event started in 2002-one month after I started working at the Department of Energy, as a matter of fact-and has just completed its fifth iteration. What began as fourteen schools (well, really thirteen, since one never completed the event) building solar-powered pint-size houses on the National Mall has become an international happening; this year, we had teams from China, Belgium, New Zealand, and Canada competing against teams from Maryland (the winner, by the way), New York, New Jersey, TWO teams from Florida, Virginia

437

Lasers, Electron Beams and New Years Resolutions | Department of Energy  

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

Lasers, Electron Beams and New Years Resolutions Lasers, Electron Beams and New Years Resolutions Lasers, Electron Beams and New Years Resolutions March 2, 2011 - 3:43pm Addthis Charles Rousseaux Charles Rousseaux Senior Writer, Office of Science What are the key facts? The electron beam that powers Jefferson Lab's Free-Electron Laser pumped out a record power input of 500 kilvolts using an innovative energy-recovery system that amplifies energy with far less power. A sufficiently powerful laser could make an effective defensive weapon, as well as accurate detection and tracking. The few folks still keeping their New Year's resolutions to work out might be the first to appreciate the recent record-breaking lift by the Energy Department's Jefferson Lab. Take a steel dumbbell. Hoist it up - lift with your legs! - onto a stand. Then add another ...and another

438

Property:Buildings/ModelYear | Open Energy Information  

Open Energy Info (EERE)

Buildings/ModelYear Buildings/ModelYear Jump to: navigation, search This is a property of type Date. Pages using the property "Buildings/ModelYear" Showing 12 pages using this property. G General Merchandise 2009 TSD Chicago High Plug Load 50% Energy Savings + 2009 + General Merchandise 2009 TSD Chicago High Plug Load Baseline + 2009 + General Merchandise 2009 TSD Chicago Low Plug Load 50% Energy Savings + 2009 + General Merchandise 2009 TSD Chicago Low Plug Load Baseline + 2009 + General Merchandise 2009 TSD Miami High Plug Load 50% Energy Savings + 2009 + General Merchandise 2009 TSD Miami High Plug Load Baseline + 2009 + General Merchandise 2009 TSD Miami Low Plug Load 50% Energy Savings + 2009 + General Merchandise 2009 TSD Miami Low Plug Load Baseline + 2009 +

439

Forecasting the Wind to Reach Significant Penetration Levels of Wind Energy  

Science Conference Proceedings (OSTI)

Advances in atmospheric science are critical to increased deployment of variable renewable energy (VRE) sources. For VRE sources, such as wind and solar, to reach high penetration levels in the nation's electric grid, electric system operators and VRE ...

Melinda Marquis; Jim Wilczak; Mark Ahlstrom; Justin Sharp; Andrew Stern; J. Charles Smith; Stan Calvert

2011-09-01T23:59:59.000Z

440

Multiseason Lead Forecast of the North Atlantic Power Dissipation Index (PDI) and Accumulated Cyclone Energy (ACE)  

Science Conference Proceedings (OSTI)

By considering the intensity, duration, and frequency of tropical cyclones, the power dissipation index (PDI) and accumulated cyclone energy (ACE) are concise metrics routinely used to assess tropical storm activity. This study focuses on the ...

Gabriele Villarini; Gabriel A. Vecchi

2013-06-01T23:59:59.000Z

Note: This page contains sample records for the topic "yearly energy forecasts" 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

Using a Stochastic Kinetic Energy Backscatter Scheme to Improve MOGREPS Probabilistic Forecast Skill  

Science Conference Proceedings (OSTI)

An improved stochastic kinetic energy backscatter scheme, version 2 (SKEB2) has been developed for the Met Office Global and Regional Ensemble Prediction System (MOGREPS). Wind increments at each model time step are derived from a streamfunction ...

Warren J. Tennant; Glenn J. Shutts; Alberto Arribas; Simon A. Thompson

2011-04-01T23:59:59.000Z

442

VIDEO: Bringing This Year's Energy Pumpkins to Life | Department of Energy  

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

VIDEO: Bringing This Year's Energy Pumpkins to Life VIDEO: Bringing This Year's Energy Pumpkins to Life VIDEO: Bringing This Year's Energy Pumpkins to Life October 29, 2013 - 1:54pm Addthis In the video above, the Energy Department's digital team promotes National Energy Action Month by carving some energy pumpkins. | Video by Matty Greene, Energy Department. Marissa Newhall Marissa Newhall Managing Editor, Energy.gov How can I participate? Download our energy pumpkin carving patterns, or design your own. Be sure to carve carefully with adult supervision. Share photos of your energy pumpkins on Twitter, Instagram, Facebook or by email to newmedia@hq.doe.gov. To commemorate National Energy Action Month, we're featuring some scarily effective ways to save energy at home. As cooler weather lurks around the corner, tune in to energy.gov throughout the month of October for ways to

443

One Year Anniversary, Office of the Ombudsman | Department of Energy  

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

One Year Anniversary, Office of the Ombudsman One Year Anniversary, Office of the Ombudsman One Year Anniversary, Office of the Ombudsman March 7, 2013 - A Letter from Secretary Steven Chu Dear Colleagues, One year ago March 6, the Department of Energy established the Office of the Ombudsman. Earlier in my career, I watched a similar office at Stanford University provide a safe, independent, and confidential environment for university employees to resolve workplace matters. After spending time at the Department of Energy, I suggested the creation of the Office of the Ombudsman so that DOE Federal employees could benefit from that same sort of positive workplace resource. Over the past year, the Ombudsman's experienced staff has begun to hold employee brainstorming sessions, help employees communicate with their

444

U.S. energy independence in 15 years  

SciTech Connect

Establish U.S. energy independence within 15 years -- This is a enormous systems engineering challenge to thoroughly analyze the present mix of power generation, energy consumption in all sectors such as transportation, industrial, commercial and residential, and devise new technologies to assist the process to independence. At this level, all citizens will be affected, requiring not only effective technologies, but superior cost/benefit ratios and effective free market interactions. With U.S. energy independence, world markets will be influenced. It will be necessary to develop or modify new energy sources, possibly including storage, and adjust or modify energy consumption profiles. Figure 1 shows the expected transition from present-day energy consumption based on both domestic and imported energy. During the 15 year period, the U.S. transitions to energy independence, eliminating imports, and perhaps reduces total energy consumption due to increased efficiency. In the future, U.S. energy consumption is able to grow in accordance with national policies and enhanced domestic capabilities. At the present time, the primary energy import is hydrocarbon products -- primarily oil. Of that imported oil, most of it is used for transportation. In order to reduce the need for imported oil, the U.S. will need to revamp its energy supply and energy consumption mixes. This change in business and usage in the U.S. will require enonnous effort on the part of many organizations and individuals. Los Alamos National Laboratory (LANL) will take the technological lead on this grand challenge. Nearly all directorates, technical, planning and policy capabilities will be brought together and focused on this objective. A simplified chart of the interactions within LANL is shown in Figure 3. Given the enonnous undertaking of U.S. energy independence, the vast engineering, technological and science-based capabilities of LANL will work together performing systems engineering, applied research and development, while working with policy makers, taking into account environmental, free market, and climate issues and constraints.

Rose, Chris R [Los Alamos National Laboratory

2008-01-01T23:59:59.000Z

445

What Energy-Saving Gifts Are You Giving this Year? | Department of Energy  

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

What Energy-Saving Gifts Are You Giving this Year? What Energy-Saving Gifts Are You Giving this Year? What Energy-Saving Gifts Are You Giving this Year? December 9, 2010 - 12:20pm Addthis 'Tis the season for giving gifts, and there are lots of options for items that could help your loved one save energy. Giving electronics or appliances? Check out ENERGY STAR® to find the most efficient products. Even home décor such as window coverings and lighting offer the gift of energy savings. Or maybe you're handy and ready to help someone seal their air leaks, or you could help conduct a home energy assessment (or arrange for a professional assessment). There are lots of ways to give the gift of energy savings, and the receiver will appreciate your thoughtfulness for years to come. What energy-saving gifts are you giving this year?

446

STEO Current/Previous Forecast Comparisons: U.S. Energy Supply and ...  

U.S. Energy Information Administration (EIA)

413 74; 1,476 2,200; 499 80; 1,546 2,117; 479 77; 1,545 4,257; 3,711 4,326; 4,218 -12.8%; ... Short-Term Energy Outlook (http://www.eia/doe.gov/emeu/steo/pub/contents ...

447

Survey and Forecast of Marketplace Supply and Demand for Energy-Efficient Lighting Products  

Science Conference Proceedings (OSTI)

Utility incentive programs have placed significant demands on the suppliers of certain types of energy-efficient lighting products--particularly compact fluorescent lamps and electronic ballasts. Two major federal programs may soon place even greater demands on the lighting industry. This report assesses the program-induced demand for efficient lighting products and their likely near-term supply.

1992-12-01T23:59:59.000Z

448

COLORADO STATE UNIVERSITY FORECAST OF ATLANTIC HURRICANE ACTIVITY FROM AUGUST 30 SEPTEMBER 12, 2013  

E-Print Network (OSTI)

COLORADO STATE UNIVERSITY FORECAST OF ATLANTIC HURRICANE ACTIVITY FROM AUGUST 30 ­ SEPTEMBER 12 This forecast as well as past forecasts and verifications are available online at http://hurricane.atmos.colostate.edu/Forecasts This is the fifth year that we have issued shorter-term forecasts of tropical cyclone activity starting in early

449

Generation IV Nuclear Energy Systems Ten-Year Program Plan Fiscal Year 2005, Volume 1  

SciTech Connect

As reflected in the U.S. ''National Energy Policy'', nuclear energy has a strong role to play in satisfying our nation's future energy security and environmental quality needs. The desirable environmental, economic, and sustainability attributes of nuclear energy give it a cornerstone position, not only in the U.S. energy portfolio, but also in the world's future energy portfolio. Accordingly, on September 20, 2002, U.S. Energy Secretary Spencer Abraham announced that, ''The United States and nine other countries have agreed to develop six Generation IV nuclear energy concepts''. The Secretary also noted that the systems are expected to ''represent significant advances in economics, safety, reliability, proliferation resistance, and waste minimization''. The six systems and their broad, worldwide research and development (R&D) needs are described in ''A Technology Roadmap for Generation IV Nuclear Energy Systems'' (hereafter referred to as the Generation IV Roadmap). The first 10 years of required U.S. R&D contributions to achieve the goals described in the Generation IV Roadmap are outlined in this Program Plan.

None

2005-03-01T23:59:59.000Z

450

EIA Annual Energy Outlook for 2011: All Tables | OpenEI  

Open Energy Info (EERE)

contains yearly projections for a variety of energy-related statistics, for several forecast cases. According to EIA, "under the assumption that current laws and regulations...

451

Real-Time Multimodel Superensemble Forecasts of Atlantic Tropical Systems of 1999  

Science Conference Proceedings (OSTI)

In this paper, Atlantic hurricane forecasts for the year 1999 are addressed. The methodology for these forecasts is called the multimodel superensemble. This statistical method makes use of the real-time forecasts provided by a number of ...

C. Eric Williford; T. N. Krishnamurti; Ricardo Correa Torres; Steven Cocke; Zaphiris Christidis; T. S. Vijaya Kumar

2003-08-01T23:59:59.000Z

452

Comparison of AEO 2006 Natural Gas Price Forecast to NYMEX Futures Prices  

E-Print Network (OSTI)

a portion of the gas price forecast through 2010 can beAEO 2006 reference case forecast to conduct a 25-yearAEO 2006 Natural Gas Price Forecast to NYMEX Futures Prices

Bolinger, Mark; Wiser, Ryan

2005-01-01T23:59:59.000Z

453

Happy (But Cold) New Year | Department of Energy  

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

Happy (But Cold) New Year Happy (But Cold) New Year Happy (But Cold) New Year January 11, 2011 - 5:50pm Addthis Drew Bittner Web Manager, Office of Energy Efficiency and Renewable Energy It's gotten chilly in Washington, D.C., but that's probably old news to most of the country. I was thinking about it this morning, though, when there was a definite draft whistling from my bedroom windows. My family lives in a condo, so we have limited options for replacing the windows (that's more of a whole-building thing). What alternatives do we have besides turning up the heat (and blowing our electric bill out of the water)? Our tried-and-true remedy is one my father-in-law uses every year. He puts sheets of plastic wrap over the windows and tapes it closed with duct tape or something similar. It's an easy, cheap and quick way to block drafts.

454

10 Years after the 2003 Northeast Blackout | Department of Energy  

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

10 Years after the 2003 Northeast Blackout 10 Years after the 2003 Northeast Blackout 10 Years after the 2003 Northeast Blackout August 14, 2013 - 5:19pm Addthis Patricia A. Hoffman Patricia A. Hoffman Assistant Secretary, Office of Electricity Delivery & Energy Reliability Ten years ago today, large portions of the Midwest and Northeast United States and into Canada went dark. The cascading event, which started shortly after 4:00 PM on August 14, 2003, ended up affecting an estimated 50 million people. For some customers, power was not restored for nearly four days. The Department of Energy and Natural Resources Canada jointly commissioned a task force that examined the underlying causes of the blackout and recommended forty-six actions to enhance the reliability of the North American power system. A number of the recommendations were incorporated

455

To forecast short-term load in electric power system based on FNN  

Science Conference Proceedings (OSTI)

Electric power system load forecasting plays an important part in the Energy Management System (EMS), which has a great effect on the operating, controlling and planning of power system. Accurate load forecasting, especially short-term load forecasting, ...

Yueli Hu; Huijie Ji; Xiaolong Song

2009-08-01T23:59:59.000Z

456

Energy consumption and expenditure projections by population group on the basis on the annual energy outlook 2000 forecast.  

SciTech Connect

The changes in the patterns of energy use and expenditures by population group are analyzed by using the 1993 and 1997 Residential Energy Consumption Surveys. Historically, these patterns have differed among non-Hispanic White households, non-Hispanic Black households, and Hispanic households. Patterns of energy use and expenditures are influenced by geographic and metropolitan location, the composition of housing stock, economic and demographic status, and the composition of energy use by end-use category. As a consequence, as energy-related factors change across groups, patterns of energy use and expenditures also change. Over time, with changes in the composition of these factors by population group and their variable influences on energy use, the impact on energy use and expenditures has varied across these population groups.

Poyer, D. A.; Decision and Information Sciences

2001-05-31T23:59:59.000Z

457

Energy consumption and expenditure projections by income quintile on the basis of the Annual Energy Outlook 1997 forecast  

SciTech Connect

This report presents an analysis of the relative impacts of the base-case scenario used in the Annual Energy Outlook 1997, published by the US Department of Energy, Energy Information Administration, on income quintile groups. Projected energy consumption and expenditures, and projected energy expenditures as a share of income, for the period 1993 to 2015 are reported. Projected consumption of electricity, natural gas, distillate fuel, and liquefied petroleum gas over this period is also reported for each income group. 33 figs., 11 tabs.

Poyer, D.A.; Allison, T.

1998-03-01T23:59:59.000Z

458

Facility Representative of the Year Award | Department of Energy  

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

Facility Representative of the Year Award Facility Representative of the Year Award Facility Representative of the Year Award Departmental Award Program administered by the Office of Chief Information Officer The Facility Representative Award Program is a special award designed to recognize superior or exemplary service by a Facility Representative over a period of one year. This special award program has been established in accordance with the requirements of Department of Energy (DOE) Order 331.1C, Employee Performance Management and Recognition Program. Facility Representative of the Year Award Responsible Contacts Lorrenda Buckner HUMAN RESOURCES SPECIALIST (PERFORMANCE MANAGEMENT) E-mail lorrenda.buckner@hq.doe.gov Phone 202-586-8451 More Documents & Publications Safety System Oversight Annual Award

459

Facility Representative of the Year Award | Department of Energy  

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

Facility Representative of the Year Award Facility Representative of the Year Award Facility Representative of the Year Award Departmental Award Program administered by the Office of Chief Information Officer The Facility Representative Award Program is a special award designed to recognize superior or exemplary service by a Facility Representative over a period of one year. This special award program has been established in accordance with the requirements of Department of Energy (DOE) Order 331.1C, Employee Performance Management and Recognition Program. Facility Representative of the Year Award Responsible Contacts Lorrenda Buckner HUMAN RESOURCES SPECIALIST (PERFORMANCE MANAGEMENT) E-mail lorrenda.buckner@hq.doe.gov Phone 202-586-8451 More Documents & Publications Safety System Oversight Annual Award

460

Property:NrelPartnerYear | Open Energy Information  

Open Energy Info (EERE)

NrelPartnerYear NrelPartnerYear Jump to: navigation, search Property Name NrelPartnerYear Property Type String Description Year partnership was initiated or announced.. Pages using the property "NrelPartnerYear" Showing 25 pages using this property. (previous 25) (next 25) 1 1366 Technologies + 2009 + 3 3M + 2010 + A A123Systems + 2008 + AVL Powertrain Engineering + 2003 + AWS Truewind + 2008 + Abengoa Solar + 2008 + Alcoa + 2010 + Alstom Energy Systems + 2010 + Alta Devices + 2010 + Ammonix + 2010 + Ampulse + 2008 + Applied Materials + 2008 + Applied Optical Systems + 2008 + Archer Daniels Midland + 2008 + Ascent Solar + 2009 + Atlas Material Testing Solutions + 2009 + B BP Solar + 2002 + Bank of America + 2009 + Benteler Industries + 2002 + Bergey Windpower Co. + 1996 +

Note: This page contains sample records for the topic "yearly energy forecasts" 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

Revised 1997 Retail Electricity Price Forecast Principal Author: Ben Arikawa  

E-Print Network (OSTI)

Revised 1997 Retail Electricity Price Forecast March 1998 Principal Author: Ben Arikawa Electricity Energy Commission until adopted at a public meeting. #12;Revised 1997 Retail Price Forecast, December ELECTRICITY PRICE FORECAST Introduction The Electricity Analysis Office of the California Energy Commission

462

Factors Influencing Skill Improvements in the ECMWF Forecasting System  

Science Conference Proceedings (OSTI)

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

Linus Magnusson; Erland Klln

2013-09-01T23:59:59.000Z

463

Energy and water development appropriations for fiscal year 1984  

SciTech Connect

Part 3 of the hearing record covers the testimony of nondepartmental witnesses on appropriations for various water and energy projects. The hearings were held in response to H.R. 3132, which authorizes appropriations for the year ending September 30, 1984. The witnesses included representatives from affected states, consumers, industry, and others. (DCK)

1983-01-01T23:59:59.000Z

464

Probabilistic Wind Vector Forecasting Using Ensembles and Bayesian Model Averaging  

Science Conference Proceedings (OSTI)

Probabilistic forecasts of wind vectors are becoming critical as interest grows in wind as a clean and renewable source of energy, in addition to a wide range of other uses, from aviation to recreational boating. Unlike other common forecasting ...

J. McLean Sloughter; Tilmann Gneiting; Adrian E. Raftery

2013-06-01T23:59:59.000Z

465

Calendar Year 2009 Program Benefits for ENERGY STAR Labeled Products  

E-Print Network (OSTI)

Energy Information Administration, Office of Energy MarketsEnergy Information Administration, Office of Energy Markets

Homan, Gregory K

2011-01-01T23:59:59.000Z

466

Calendar Year 2008 Program Benefits for ENERGY STAR Labeled Products  

E-Print Network (OSTI)

Energy Information Administration, Office of Energy MarketsEnergy Information Administration, Office of Energy Markets

Homan, GregoryK

2010-01-01T23:59:59.000Z

467

Calendar Year 2007 Program Benefits for ENERGY STAR Labeled Products  

E-Print Network (OSTI)

Energy Information Administration, Office of Energy MarketsEnergy Information Administration, Office of Energy Markets

Sanchez, Marla Christine

2008-01-01T23:59:59.000Z

468

Federal Energy Regulatory Commission's Fiscal Year 2010 Financial Statement Audit  

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

9, 2010 9, 2010 REPLY TO ATTN TO: IG-34 (A10FN002) SUBJECT: Federal Energy Regulatory Commission's Fiscal Year 2010 Financial Statement Audit Report No.: OAS-FS-11-02 TO: Chairman, Federal Energy Regulatory Commission The attached report presents the results of the independent certified public accountants' audit of the Federal Energy Regulatory Commission's (Commission) Fiscal Year 2010 balance sheet and the related statements of net cost, changes in net position, budgetary resources, and custodial activity. To fulfill the Office of Inspector General's audit responsibilities, we contracted with the independent public accounting firm of KPMG LLP (KPMG) to conduct the audit, subject to our review. KPMG is responsible for expressing an opinion on the

469

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

470

Win ENERGY STAR Partner of the Year | ENERGY STAR Buildings & Plants  

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

Win ENERGY STAR Partner of the Year Win ENERGY STAR Partner of the Year Secondary menu About us Press room Contact Us Portfolio Manager Login Facility owners and managers Existing buildings Commercial new construction Industrial energy management Small business Service providers Service and product providers Verify applications for ENERGY STAR certification Design commercial buildings Energy efficiency program administrators Commercial and industrial program sponsors Associations State and local governments Federal agencies Tools and resources Training In this section How can we help you? Build an energy program Improve building and plant performance Earn the ENERGY STAR and other recognition Benchmark energy use ENERGY STAR in action Communicate and educate ENERGY STAR communications toolkit Bring Your Green to Work with ENERGY STAR

471

10 Ways to Save Money and Energy in the New Year | Department of Energy  

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

10 Ways to Save Money and Energy in the New Year 10 Ways to Save Money and Energy in the New Year 10 Ways to Save Money and Energy in the New Year January 4, 2011 - 11:54am Addthis Cross Post from the Energy Savers Blog. "Keeping things simple" and "getting back to basics" are two ideals I naturally gravitate to. And while I'm not usually someone who makes New Year's resolutions, I am a big fan of top 10 lists. While pretty straightforward, these easy tips are great way to save money and energy throughout the New Year. So here goes, my personal top 10 ways to save money and energy in 2011 Research alternatives for saving money on fuel, decreasing my carbon footprint, and increasing my vehicle's fuel efficiency. Confirm I have my programmable thermostat set to the optimal settings. Turning back the thermostat by 10°-15° when I'm not at home

472

10 Ways to Save Money and Energy in the New Year | Department of Energy  

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

10 Ways to Save Money and Energy in the New Year 10 Ways to Save Money and Energy in the New Year 10 Ways to Save Money and Energy in the New Year January 3, 2011 - 5:06am Addthis Chris Stewart Senior Communicator at DOE's National Renewable Energy Laboratory "Keeping things simple" and "getting back to basics" are two ideals I naturally gravitate to. And while I'm not usually someone who makes New Year's resolutions, I am a big fan of top 10 lists. While pretty straightforward, these easy tips are great way to save money and energy throughout the New Year. So here goes, my personal top 10 ways to save money and energy in 2011. Research alternatives for saving money on fuel, decreasing my carbon footprint, and increasing my vehicle's fuel efficiency. Confirm I have my programmable thermostat set to the optimal

473

10 Ways to Save Money and Energy in the New Year | Department of Energy  

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

0 Ways to Save Money and Energy in the New Year 0 Ways to Save Money and Energy in the New Year 10 Ways to Save Money and Energy in the New Year January 3, 2011 - 5:06am Addthis Chris Stewart Senior Communicator at DOE's National Renewable Energy Laboratory "Keeping things simple" and "getting back to basics" are two ideals I naturally gravitate to. And while I'm not usually someone who makes New Year's resolutions, I am a big fan of top 10 lists. While pretty straightforward, these easy tips are great way to save money and energy throughout the New Year. So here goes, my personal top 10 ways to save money and energy in 2011. Research alternatives for saving money on fuel, decreasing my carbon footprint, and increasing my vehicle's fuel efficiency. Confirm I have my programmable thermostat set to the optimal

474

10 Ways to Save Money and Energy in the New Year | Department of Energy  

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

10 Ways to Save Money and Energy in the New Year 10 Ways to Save Money and Energy in the New Year 10 Ways to Save Money and Energy in the New Year January 4, 2011 - 11:54am Addthis Cross Post from the Energy Savers Blog. "Keeping things simple" and "getting back to basics" are two ideals I naturally gravitate to. And while I'm not usually someone who makes New Year's resolutions, I am a big fan of top 10 lists. While pretty straightforward, these easy tips are great way to save money and energy throughout the New Year. So here goes, my personal top 10 ways to save money and energy in 2011 Research alternatives for saving money on fuel, decreasing my carbon footprint, and increasing my vehicle's fuel efficiency. Confirm I have my programmable thermostat set to the optimal settings. Turning back the thermostat by 10°-15° when I'm not at home

475

WIPP Marks 12 Years of Operations | Department of Energy  

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

Marks 12 Years of Operations Marks 12 Years of Operations WIPP Marks 12 Years of Operations March 28, 2011 - 12:00pm Addthis Media Contact Deb Gill U.S. DOE Carlsbad Field Office (575) 234-7270 CARLSBAD, N.M - On Saturday, March 26, 2011, the Department of Energy's Waste Isolation Pilot Plant marked another anniversary. It has now been 12 years since WIPP received its first shipment of transuranic (TRU) waste. TRU waste consists of clothing, tools, rags, debris, residues and other disposal items contaminated with radioactive elements - mostly plutonium. "WIPP employees and members of the community cheered when the first shipment of TRU waste arrived here in 1999," said Acting Carlsbad Field Office Manager Ed Ziemianski. "I applaud their continued dedication to our nation, which has placed its trust in WIPP to maintain those rigorous

476

Fossil Energy Budget Request for Fiscal Year 2013 | Department of Energy  

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

Budget Request for Fiscal Year 2013 Budget Request for Fiscal Year 2013 Fossil Energy Budget Request for Fiscal Year 2013 March 27, 2012 - 1:12pm Addthis Statement of Mr. Chuck McConnell, Assistant Secretary for Fossil Energy (nominated), before the House Committee on Appropriations, Subcommittee on Energy and Water Development on FE's FY2013 Budget Request. Mr. Chairman, Members of the Committee, it is my pleasure to appear before you today to present the Office of Fossil Energy's (FE) proposed Budget for Fiscal Year 2013. The Office of Fossil Energy's primary objective is to ensure that we can continue to utilize our traditional fuel sources for clean, affordable, reliable energy. Fossil fuels, which provide 83 percent of U.S. energy consumption, are expected to continue to play a critical role in meeting

477

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

478

Energy Secretary Highlights One-Year Anniversary of the Energy Policy Act  

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

Highlights One-Year Anniversary of the Energy Highlights One-Year Anniversary of the Energy Policy Act of 2005 at Iowa Wind Turbine Facility Energy Secretary Highlights One-Year Anniversary of the Energy Policy Act of 2005 at Iowa Wind Turbine Facility August 2, 2006 - 8:36am Addthis CEDAR RAPIDS, IOWA - U.S. Department of Energy (DOE) Secretary Samuel W. Bodman today visited a wind turbine manufacturer to reinforce DOE's commitment to diversifying America's sources of renewable energy and to celebrate the anniversary of the passage of the Energy Policy Act of 2005 (EPAct) - the first comprehensive energy legislation signed into law in more than a decade. The site of the visit was Clipper Windpower's Liberty Turbine production facility in Cedar Rapids, Iowa. "Clipper's Liberty Turbine is not only one of the most advanced wind

479

Solar thermal energy contract list, fiscal year 1990  

DOE Green Energy (OSTI)

The federal government has conducted the national Solar Thermal Technology Program since 1975. Its purpose is to provide focus, direction, and funding for the development of solar thermal technology as an energy option for the United States. This year's document is more concise than the summaries of previous years. The FY 1990 contract overview comprises a list of all subcontracts begun, ongoing, or completed during FY 1990 (October 1, 1989, through September 30, 1990). Under each managing laboratory projects are listed alphabetically by project area and then by subcontractor name. Amount of funding milestones are listed.

Not Available

1991-09-01T23:59:59.000Z

480

World energy outlook. [Projection to year 2000; monograph  

SciTech Connect

This outlook, projecting energy supply and demand to the year 2000, is based on an assessment of world economic activity which indicates that the rate of world economic growth will probably be about two-thirds the 1965 to 1973 level. The results may be summarized as follows: (1) energy demand may grow only half as rapidly as in the 1965 to 1973 period; nonetheless, by 2000 the world will probably be consuming two-thirds more energy than at present; (2) oil demand is projected to grow at an annual rate of less than 1 percent, compared to over 7 percent from 1965 to 1973; the amount of oil used in industrial nations is expected to remain essentially constant, but its use will increase in developing countries; (3) conventional oil production will probably plateau around the turn of the century; transition to greater reliance on other energy forms will be well under way by that time; (4) the transition to greater reliance on energy forms other than conventional oil will be eased by a reduction in the energy intensity of overall economic activity; less energy will be consumed per unit of output as a result of conservation, new technology, and investments to increase energy efficiency, as well as further shifts in the mix of economic output to less-energy-intensive activities. The projections set forth here were prepared in a period of particularly rapid change in perceptions of world energy supply and demand and in oil prices. Factors that shaped the projections continue to change. For example, the extent of price changes by the Organization of Petroleum Exporting Countries (OPEC) in late 1979 was not anticipated in the outlook. However, the data shown in the charts are broadly representative of possible future trends, if assumptions about future public policies are correct.

Not Available

1980-01-01T23:59:59.000Z

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481

Twenty years of energy policy: What should we have learned?  

SciTech Connect

This report examines the past twenty years of energy market events and energy policies to determine what may be useful for the future. The author focuses on two important lessons that should have been learned but which the author feels have been seriously misunderstood. The first is that oil price shocks were a very big and very real problem for oil importing countries, a problem the has not gone away. The second is that automobile fuel economy regulation has worked and worked effectively to reduce oil consumption and the externalities associated with it, and can still work effectively in the future.

Greene, D.L. [Oak Ridge National Lab., TN (United States). Center for Transportation Analysis

1994-07-01T23:59:59.000Z

482

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

483

Short-Term Energy Outlook - U.S. Energy Information Administration ...  

U.S. Energy Information Administration (EIA)

Previous STEO Forecasts: Changes in Forecast from Last Month; STEO Archives; Other EIA Forecasts: Annual Energy Outlook; International Energy Outlook; Thank ...

484

An Evaluation of State Energy Program Accomplishments: 2002 Program Year  

Science Conference Proceedings (OSTI)

The U.S. Department of Energy's (DOE's) State Energy Program (SEP) was established in 1996 by merging the State Energy Conservation Program (SECP) and the Institutional Conservation Program (ICP), both of which had been in existence since 1976 (U.S. DOE 2001a). The SEP provides financial and technical assistance for a wide variety of energy efficiency and renewable energy activities undertaken by the states and territories. SEP provides money to each state and territory according to a formula that accounts for population and energy use. In addition to these ''Formula Grants'', SEP ''Special Project'' funds are made available on a competitive basis to carry out specific types of energy efficiency and renewable energy activities (U.S. DOE 2003c). The resources provided by DOE typically are augmented by money and in-kind assistance from a number of sources, including other federal agencies, state and local governments, and the private sector. The states SEP efforts include several mandatory activities, such as establishing lighting efficiency standards for public buildings, promoting car and vanpools and public transportation, and establishing policies for energy-efficient government procurement practices. The states and territories also engage in a broad range of optional activities, including holding workshops and training sessions on a variety of topics related to energy efficiency and renewable energy, providing energy audits and building retrofit services, offering technical assistance, supporting loan and grant programs, and encouraging the adoption of alternative energy technologies. The scope and variety of activities undertaken by the various states and territories is extremely broad, and this reflects the diversity of conditions and needs found across the country and the efforts of participating states and territories to respond to them. The purpose of this report is to present estimates of the energy and cost savings and emissions reductions associated with SEP activities performed by the states during the 2002 program year, based on primary data provided by the states themselves. This is the second systematic evaluation of SEP accomplishments performed by Oak Ridge National Laboratory (ORNL) for DOE. A report documenting the findings of the first study was published in January 2003 (Schweitzer et.al., 2003).

Schweitzer, M.

2005-07-13T23:59:59.000Z

485

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

486

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

487

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...