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1

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":""}]}

2

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"

3

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 ...

4

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

5

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

6

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":""}]}

7

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

8

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":""}]}

9

Data Sources - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Production Forecast: Energy Information Administration, Short-Term Integrated Forecasting System, December 2000; and Model GASCAP94 C102500.

10

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

11

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

12

Valuing Climate Forecast Information  

Science Conference Proceedings (OSTI)

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

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

1987-09-01T23:59:59.000Z

13

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

14

Evaluating Probabilistic Forecasts Using Information Theory  

Science Conference Proceedings (OSTI)

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

Mark S. Roulston; Leonard A. Smith

2002-06-01T23:59:59.000Z

15

Exploiting Weather Forecast Information in the Operation of ...  

E-Print Network (OSTI)

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

16

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

17

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

18

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, ...

19

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,

20

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.

Note: This page contains sample records for the topic "forecasting energy information" 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

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.

22

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

23

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

24

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

25

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

26

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

27

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

28

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

29

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

30

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

31

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

32

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...

33

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

34

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...

35

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.

36

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

37

Saudi Arabia - U.S. Energy Information Administration (EIA)  

U.S. Energy Information Administration (EIA)

State energy information, ... Maps. Maps by energy source and topic, includes forecast maps. Countries. Country energy information, ... Installed Capa ...

38

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

U.S. Energy Information Administration (EIA)

State energy information, ... Maps. Maps by energy source and topic, includes forecast maps. Countries. Country energy information, ... Installed Capa ...

39

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

40

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

Note: This page contains sample records for the topic "forecasting energy information" 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

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

42

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

43

Annual Energy Review - Energy Information Administration  

U.S. Energy Information Administration (EIA)

State energy information, detailed and overviews. Maps. Maps by energy source and topic, includes forecast maps. ... A6 Approximate Heat Rates for Electricity, ...

44

Annual Energy Review - Energy Information Administration  

U.S. Energy Information Administration (EIA)

U.S. States. State energy information, detailed and overviews. Maps. Maps by energy source and topic, includes forecast maps. Countries. Country ...

45

Energy Information Administration (EIA)- Commercial ...  

U.S. Energy Information Administration (EIA)

U.S. States. State energy information, detailed and overviews. Maps. Maps by energy source and topic, includes forecast maps. Countries. Country ...

46

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

47

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

48

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

49

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)

50

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

51

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

52

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.

53

The Effect of Probabilistic Information on Threshold Forecasts  

Science Conference Proceedings (OSTI)

The study reported here asks whether the use of probabilistic information indicating forecast uncertainty improves the quality of deterministic weather decisions. Participants made realistic wind speed forecasts based on historical information in ...

Susan Joslyn; Karla Pak; David Jones; John Pyles; Earl Hunt

2007-08-01T23:59:59.000Z

54

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.

55

WP1: Targeted and informative forecast system design  

E-Print Network (OSTI)

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

Stevenson, Paul

56

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

57

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

58

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

59

Energy Information Administration (EIA)- Commercial Buildings ...  

U.S. Energy Information Administration (EIA)

Maps. Maps by energy source and topic, includes forecast maps. Countries. Country energy information, detailed and overviews. Highlights State Energy Data System ...

60

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

Note: This page contains sample records for the topic "forecasting energy information" 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

Resource Information and Forecasting Group; Electricity, Resources, & Building Systems Integration (ERBSI) (Fact Sheet)  

SciTech Connect

Researchers in the Resource Information and Forecasting group at NREL provide scientific, engineering, and analytical expertise to help characterize renewable energy resources and facilitate the integration of these clean energy sources into the electricity grid.

2009-11-01T23:59:59.000Z

62

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

63

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

64

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 + ,...

65

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

66

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

67

Gasoline and Diesel Fuel Update - Energy Information ...  

U.S. Energy Information Administration (EIA)

U.S. States. State energy information, detailed and overviews. Maps. Maps by energy source and topic, includes forecast maps. Countries. Country ...

68

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

69

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

70

Arkansas - State Energy Profile Overview - U.S. Energy Information ...  

U.S. Energy Information Administration (EIA)

Crude oil, gasoline, heating oil, diesel, ... Maps by energy source and topic, includes forecast maps. Countries. Country energy information, detailed and overviews.

71

Today in Energy - U.S. Energy Information Administration (EIA)  

U.S. Energy Information Administration (EIA)

U.S. States. State energy information, detailed and overviews. Maps. Maps by energy source and topic, includes forecast maps. Countries. Country ...

72

- Today in Energy - U.S. Energy Information Administration ...  

U.S. Energy Information Administration (EIA)

U.S. States. State energy information, detailed and overviews. Maps. Maps by energy source and topic, includes forecast maps. Countries. Country ...

73

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

U.S. Energy Information Administration (EIA)

State energy information, detailed and overviews. Maps. Maps by energy source and topic, includes forecast maps. Countries. Country energy information, detailed and ...

74

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

U.S. Energy Information Administration (EIA)

Energy Information Administration ... imports and exports, production, prices, sales. ... Maps by energy source and topic, includes forecast maps.

75

Information-Based Skill Scores for Probabilistic Forecasts  

Science Conference Proceedings (OSTI)

The information content, that is, the predictive capability, of a forecast system is often quantified with skill scores. This paper introduces two ranked mutual information skill (RMIS) scores, RMISO and RMISY, for the evaluation of probabilistic ...

Bodo Ahrens; Andr Walser

2008-01-01T23:59:59.000Z

76

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

77

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

78

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...

79

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.

80

September 1998 Highlights - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Projections: Energy Information Administration, Short-Term Integrated Forecasting System database, and Office of Oil and Gas, Reserves and Natural Gas Division.

Note: This page contains sample records for the topic "forecasting energy information" 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

December, 1998 Highlights - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Projections: Energy Information Administration, Short-Term Integrated Forecasting System database, and Office of Oil and Gas, Reserves and Natural Gas Division.

82

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.

83

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

84

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

85

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

86

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

87

Successful Hydrologic Forecasting for California Using an Information Theoretic Model  

Science Conference Proceedings (OSTI)

The Entropy Minimax technique from information theory has been applied to long-range, hydrologic forecasting in California. Based on 18521977 records, the technique exhibits a limited, but statistically significant, success for predictions one ...

R. A. Christensen; R. F. Eilbert; O. H. Lindgren; L. L. Rans

1981-06-01T23:59:59.000Z

88

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.

89

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

U.S. Energy Information Administration (EIA)

Maps by energy source and topic, includes forecast maps. Countries. Country energy information, detailed and overviews. Highlights State Energy Data System (SEDS) ...

90

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

U.S. Energy Information Administration (EIA)

Maps. Maps by energy source and topic, includes forecast maps. Countries. Country energy information, detailed and overviews. Highlights State Energy Data System ...

91

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

92

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.

93

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

94

Information and Inference in Econometrics: Estimation, Testing and Forecasting  

E-Print Network (OSTI)

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

Tu, Yundong

2012-01-01T23:59:59.000Z

95

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 --...

96

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 & ...

97

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

98

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

99

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

100

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.

Note: This page contains sample records for the topic "forecasting energy information" 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

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.

102

Impact of Early Forecast Information Sharing on Manufacturers with Capacity Uncertainty  

E-Print Network (OSTI)

251 Impact of Early Forecast Information Sharing on Manufacturers with Capacity Uncertainty of future demand. Advanced forecast information sharing between buyer and seller about these demand patterns) manufacturers receive an early rough forecast with a deterministic due date, however, forecast revisions

Chinnam, Ratna Babu

103

Saint Pierre and Miquelon - U.S. Energy Information ...  

U.S. Energy Information Administration (EIA)

U.S. States. State energy information, detailed and overviews. Maps. Maps by energy source and topic, includes forecast maps. Countries. Country ...

104

EIA - State Electricity Profiles - U.S. Energy Information ...  

U.S. Energy Information Administration (EIA)

U.S. States. State energy information, detailed and overviews. Maps. Maps by energy source and topic, includes forecast maps. Countries. Country ...

105

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

U.S. Energy Information Administration (EIA)

U.S. States. State energy information, detailed and overviews. Maps. Maps by energy source and topic, includes forecast maps. Countries. Country ...

106

Minnesota - U.S. Energy Information Administration (EIA ...  

U.S. Energy Information Administration (EIA)

U.S. States. State energy information, detailed and overviews. Maps. Maps by energy source and topic, includes forecast maps. Countries. Country ...

107

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

U.S. Energy Information Administration (EIA)

U.S. States. State energy information, detailed and overviews. Maps. Maps by energy source and topic, includes forecast maps. Countries. Country ...

108

Financial Terms - U.S. Energy Information Administration (EIA)  

U.S. Energy Information Administration (EIA)

U.S. States. State energy information, detailed and overviews. Maps. Maps by energy source and topic, includes forecast maps. Countries. Country ...

109

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

110

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

111

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

113

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

114

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

116

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

117

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

118

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

119

Short-Term Energy Outlook (STEO) - U.S. Energy Information ...  

U.S. Energy Information Administration (EIA)

U.S. Energy Information Administration | Short?Term Energy Outlook February 2013 5 modestly in this forecast, increasing by 50,000 bbl/d (0 ...

120

Short-Term Energy Outlook (STEO) - U.S. Energy Information ...  

U.S. Energy Information Administration (EIA)

U.S. Energy Information Administration | Short?Term Energy Outlook January 2013 5 Forecast motor gasoline consumption in 2013 and 2014 ...

Note: This page contains sample records for the topic "forecasting energy information" 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

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.

122

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.

123

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.

124

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

125

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

126

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

127

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

128

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

129

Natural Gas - U.S. Energy Information Administration (EIA) - U ...  

U.S. Energy Information Administration (EIA)

In the News: EIA projects lower natural gas use this winter. The U.S. Energy Information Administration (EIA) forecasts that reduced natural gas consumption from ...

130

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.

131

Energy Information Administration  

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

World Shale Gas Resources: World Shale Gas Resources: An Initial Assessment of 14 Regions Outside the United States APRIL 2011 www.eia.gov U.S. Department of Energy Washington, DC 20585 The information presented in this overview is based on the report "World Shale Gas Resources: An Initial Assessment," which was prepared by Advanced Resources International (ARI) for the U.S. Energy Information Administration (EIA), the statistical and analytical agency within the U.S. Department of Energy. The full report is attached. By law, EIA's data, analyses, and forecasts are independent of approval by any other officer or employee of the United States Government. The views in this report therefore should not be construed as representing those of the Department of Energy or other Federal agencies.

132

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

133

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.

134

The Weather Information and Skill Experiment (WISE): The Effect of Varying Levels of Information on Forecast Skill  

Science Conference Proceedings (OSTI)

The relationship between the quality and quantity of information available to meteorologists and the skill of their forecasts was investigated. Twelve meteorologists were asked to make probabilistic forecasts of significant and severe weather ...

Kenneth F. Heideman; Thomas R. Stewart; William R. Moninger; Patricia Reagan-Cirincione

1993-03-01T23:59:59.000Z

135

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

136

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

137

Business Technology Strategy for an Energy Information Company  

Science Conference Proceedings (OSTI)

Entel1 produces information, data and knowledge, while supporting the energy industry. It sells this content to governments, universities, companies and non-government organizations NGOs. It generates forecasts, analyzes energy trends and produces historical ... Keywords: Business Technology Strategy, Digital Technology, Energy Industry, Energy Trends, Forecasts

Stephen J. Andriole

2010-07-01T23:59:59.000Z

138

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,

139

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 & ...

140

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 & ...

Note: This page contains sample records for the topic "forecasting energy information" 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 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 & ...

142

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 & ...

143

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 & ...

144

Early Warnings of Severe Weather from Ensemble Forecast Information  

Science Conference Proceedings (OSTI)

A system has been developed to give probabilistic warnings of severe-weather events for the United Kingdom (UK) on a regional and national basis, based on forecast output from the European Centre for Medium-Range Weather Forecasts (ECMWF) ...

T. P. Legg; K. R. Mylne

2004-10-01T23:59:59.000Z

145

Predictability and Information Theory. Part II: Imperfect Forecasts  

Science Conference Proceedings (OSTI)

This paper presents a framework for quantifying predictability based on the behavior of imperfect forecasts. The critical quantity in this framework is not the forecast distribution, as used in many other predictability studies, but the ...

Timothy DelSole

2005-09-01T23:59:59.000Z

146

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

147

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

148

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

149

EIA - Annual Energy Outlook 2011 - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Home > Forecasts & Analysis > Annual Energy Outlook 2011 : Annual Energy Outlook 2011 with Projections to 2035

150

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 & ...

151

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

152

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

153

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.

154

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

155

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

156

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

157

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

158

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

159

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

160

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

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While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


161

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

162

SHORT-TERM - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Analysis and Forecasting Division (202/586-5382). Macroeconomic Forecast: Energy Product Prices: ... scenario, it is assumed that, after the first

163

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

164

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

165

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

166

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

167

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

168

Informing Hydrometric Network Design for Statistical Seasonal Streamflow Forecasts  

Science Conference Proceedings (OSTI)

A hydrometric network design approach is developed for enhancing statistical seasonal streamflow forecasts. The approach employs gridded, model-simulated water balance variables as predictors in equations generated via principal components ...

Eric A. Rosenberg; Andrew W. Wood; Anne C. Steinemann

2013-10-01T23:59:59.000Z

169

US Energy Information Administration - Sweden  

U.S. Energy Information Administration (EIA)

US EIA provides data, forecasts, country analysis brief and other analyses, focusing on the energy industry including oil, natural gas and electricity.

170

US Energy Information Administration - Mozambique  

U.S. Energy Information Administration (EIA)

US EIA provides data, forecasts, country analysis brief and other analyses, focusing on the energy industry including oil, natural gas and electricity.

171

US Energy Information Administration - Sudan  

U.S. Energy Information Administration (EIA)

US EIA provides data, forecasts, country analysis brief and other analyses, focusing on the energy industry including oil, natural gas and electricity.

172

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

173

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 ...

174

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

175

Rebuilding the Coal Model in the Energy Information Administration's National Energy Modeling System  

Science Conference Proceedings (OSTI)

The Energy Information Administration uses the National Energy Modeling System (NEMS) to forecast prices and quantities in energy markets. The coal model that the Energy Information Administration first used in NEMS contributed to convergence problems ... Keywords: GOVERNMENT-ENERGY POLICIES, NATURAL RESOURCES-ENERGY, PROGRAMMING--LINEAR

Melinda Hobbs; Michael Mellish; Frederic H. Murphy; Richard Newcombe; Reginald Sanders; Peter Whitman

2001-09-01T23:59:59.000Z

176

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

177

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 ...

178

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

179

Energy Information Administration - Energy Efficiency, energy ...  

U.S. Energy Information Administration (EIA)

The Energy Efficiency Page reflects EIA's information on energy efficiency and related information. This site provides an in depth discussion of the concept of energy ...

180

Directory of Energy Information Administration models, 1990  

Science Conference Proceedings (OSTI)

This directory revises and updates the Directory of Energy Information Administration Models, DOE/EIA-0293(89), Energy Information Administration (EIA), US Department of Energy, May 1989. The major changes are the inclusion of the Building Energy End-Use Model (BEEM-PC), Residential Energy End-Use Model (REEM-PC), the Refinery Yield Model Spreadsheet System (RYMSS-PC), and the Capital Stock Model (CAPSTOCK-PC). Also, the following models have been inactivated: Energy Disaggregated Input-Output Model (EDIO), Household Model of Energy (HOME3-PC), Commercial Sector Energy Model (CSEM-PC), Outer Continental Shelf Oil and Gas Supply Model (OCSM), and the Stock Module of the Intermediate Future Forecasting System (STOCK). This directory contains descriptions about each basic and auxiliary model, including the title, acronym, purpose, and type, followed by more detailed information on characteristics, uses, and requirements. For developing models, limited information is provided. Sources for additional information are identified. Included in this directory are 38 EIA models active as of March 1, 1990, as well as the PC-AEO Forecasting Model Overview and the three Subsystems for the Short-Term Integrated Forecasting System (STIFS) Model. Models that run on personal computers are identified by PC'' as part of the acronym.

Not Available

1990-06-04T23:59:59.000Z

Note: This page contains sample records for the topic "forecasting energy information" 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

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

182

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.

183

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

184

Genome parameters as information to forecast emergent developmental behaviors  

Science Conference Proceedings (OSTI)

In this paper we measure genomic properties in EvoDevo systems, to predict emergent phenotypic characteristic of artificial organisms. We describe and compare three parameters calculated out of the composition of the genome, to forecast the emergent ... Keywords: cellular computation, development, emergence, evolution, parameterization of rule spaces

Stefano Nichele; Gunnar Tufte

2012-09-01T23:59:59.000Z

185

Energy Information Administration (EIA)  

U.S. Energy Information Administration (EIA)

Petroleum prices, supply and demand information from the Energy Information Administration - EIA - Official Energy Statistics from the U.S. Government

186

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

187

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,

188

Energy Information Administration  

U.S. Energy Information Administration (EIA)

Energy Information Administration - EIA - Official Energy Statistics from the U.S. Government ... storage, imports and exports, production, prices, sales.

189

Glossary - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Energy Information Administration 137 Energy Policy Act Transportation Study: Interim Report on Natural Gas Flows and Rates Glossary Affiliated ...

190

Quantile Forecasting of Commodity Futures' Returns: Are Implied Volatility Factors Informative?  

E-Print Network (OSTI)

This study develops a multi-period log-return quantile forecasting procedure to evaluate the performance of eleven nearby commodity futures contracts (NCFC) using a sample of 897 daily price observations and at-the-money (ATM) put and call implied volatilities of the corresponding prices for the period from 1/16/2008 to 7/29/2011. The statistical approach employs dynamic log-returns quantile regression models to forecast price densities using implied volatilities (IVs) and factors estimated through principal component analysis (PCA) from the IVs, pooled IVs and lagged returns. Extensive in-sample and out-of-sample analyses are conducted, including assessment of excess trading returns, and evaluations of several combinations of quantiles, model specifications, and NCFC's. The results suggest that the IV-PCA-factors, particularly pooled return-IV-PCA-factors, improve quantile forecasting power relative to models using only individual IV information. The ratio of the put-IV to the call-IV is also found to improve quantile forecasting performance of log returns. Improvements in quantile forecasting performance are found to be better in the tails of the distribution than in the center. Trading performance based on quantile forecasts from the models above generated significant excess returns. Finally, the fact that the single IV forecasts were outperformed by their quantile regression (QR) counterparts suggests that the conditional distribution of the log-returns is not normal.

Dorta, Miguel

2012-05-01T23:59:59.000Z

191

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

192

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

193

Energy Information Administration - Transportation Energy ...  

U.S. Energy Information Administration (EIA)

Survey forms used by the U.S. Department of Energy (DOE) to collect energy information (e.g., gasoline prices, oil and gas reserves, coal production, etc.).

194

Abbreviations - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Bcf Billion cubic feet DOE U.S. Department of Energy EIA Energy Information Administration, U.S. Department of Energy FERC

195

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

196

Energy information sheets  

SciTech Connect

The National Energy Information Center (NEIC), as part of its mission, provides energy information and referral assistance to Federal, State, and local governments, the academic community, business and industrial organizations, and the public. The Energy Information Sheets was developed to provide general information on various aspects of fuel production, prices, consumption, and capability. Additional information on related subject matter can be found in other Energy Information Administration (EIA) publications as referenced at the end of each sheet.

NONE

1995-07-01T23:59:59.000Z

197

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 & ...

198

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 & ...

199

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.

200

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 & ...

Note: This page contains sample records for the topic "forecasting energy information" 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

Recently released EIA report presents international forecasting data  

Science Conference Proceedings (OSTI)

This report presents information from the Energy Information Administration (EIA). Articles are included on international energy forecasting data, data on the use of home appliances, gasoline prices, household energy use, and EIA information products and dissemination avenues.

NONE

1995-05-01T23:59:59.000Z

202

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...

203

Minnesota/EZFeed Policies | Open Energy Information  

Open Energy Info (EERE)

fuel consumption and diversifying energy sources, as well as the creation of effective energy forecasting, planning, and education programs. The statute sets the energy policy for...

204

Minnesota/EZ Policies | Open Energy Information  

Open Energy Info (EERE)

fuel consumption and diversifying energy sources, as well as the creation of effective energy forecasting, planning, and education programs. The statute sets the energy policy for...

205

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: ...

206

About EIA - Organization - U.S. Energy Information Administration (EIA)  

Gasoline and Diesel Fuel Update (EIA)

John Conti, Director of the Office of Integrated Analysis and Forecasting John ContiPrint-friendly PDF John Conti, Director of the Office of Integrated Analysis and Forecasting John ContiPrint-friendly PDF Assistant Administrator for Energy Analysis E-mail: john.conti@eia.gov Phone: (202) 586-2222 Fax: (202) 586-3045 Room: 2H-073 Address: U.S. Energy Information Administration 1000 Independence Avenue, S.W. Washington, DC 20585 Duties John Conti is the Assistant Administrator for Energy Analysis and analyzes energy supply, demand, and prices including the impact of financial markets on energy markets; prepares reports on current and future energy use; analyzes the impact of energy policies; and develops advanced techniques for conducting energy information analyses. John also oversees the planning and execution of EIA's analysis and forecasting programs to ensure that EIA

207

Energy Information Administration (EIA) - Supplement Tables - Supplemental  

Gasoline and Diesel Fuel Update (EIA)

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

208

Energy Information Administration (EIA) - Annual Energy Outlook with  

Gasoline and Diesel Fuel Update (EIA)

2006 with Projections to 2030 2006 with Projections to 2030 Annual Energy Outlook 2006 with Projections to 2030 The Annual Energy Outlook 2006 presents a forecast and analysis of US energy supply, demand, and prices through 2030. The projections are based on results from the Energy Information Administration's National Energy Modeling System. The AEO2006 includes the reference case, additional cases examining energy markets, and complete documentation. Forecast Data Tables Reference Case Tables (links to individual excel and PDF files) High Macroeconomic Growth Case Tables (links to individual excel files) Low Macroeconomic Growth Case Tables (links to individual excel files) High Price Case Tables (links to individual excel files) Low Price Case Tables (links to individual excel files)

209

Energy Information Directory of the Energy Information Administration  

U.S. Energy Information Administration (EIA)

Page of Energy Information Directory provided by the Energy Information Administration, other DOE Offices, ... Federal Energy Management Program;

210

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

211

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

212

Browse wiki | Open Energy Information  

Open Energy Info (EERE)

Research and Forecasting (WRF)-Chem Modeling in Mexico + Developer Hydrogen Energy Data Book + , U.S. DOE Hydropower Program + Partner PNNL + redirect page Enter the name of the...

213

Articles - Energy Information Administration  

U.S. Energy Information Administration (EIA)

163 U.S. Energy Information Administration/Petroleum Marketing Monthly February 2012 Articles Feature articles on energy-related subjects are ...

214

Energy Information Systems website  

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

and visualize the energy use of their buildings. Please visit the recently updated Energy Information System website for EETD research papers, case studies, and a download...

215

Energy Information Administration  

U.S. Energy Information Administration (EIA)

2010 EIA-64A Annual Report of the Origin of Natural Gas Liquids Production 1 U.S. DEPARTMENT OF ENERGY Energy Information Administration Washington, DC 20585

216

Energy Information Administration  

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

Annual Report of the Origin of Natural Gas Liquids Production 1 U.S. DEPARTMENT OF ENERGY Energy Information Administration Washington, DC 20585 Form Approved OMB Number:...

217

Outlook - Energy Information Administration  

U.S. Energy Information Administration (EIA)

An order form is enclosed for your convenience. Send order form and payment to: ... U.S. Department of Energy Energy Information Administration

218

Information Technology Solutions - Energy  

texturing process is a cost effective alternative that uses nontoxic materials. Information Technology Solutions ... United States Department of Energys National

219

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 ...

220

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 ...

Note: This page contains sample records for the topic "forecasting energy information" 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

Wind energy information directory  

DOE Green Energy (OSTI)

Wind Energy Information has been prepared to provide researchers, designers, manufacturers, distributors, dealers, and users of wind energy conversion systems with easy access to technical information. This directory lists organizations and publications which have the main objective of promoting the use of wind energy conversion systems, some organizations that can respond to requests for information on wind energy or make referrals to other sources of information, and some publications that occasionally include information on wind energy. The bibliography contains references to information for both the neophyte and the expert.

None

1979-10-01T23:59:59.000Z

222

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

223

Glossary - Energy Information Administration  

U.S. Energy Information Administration (EIA)

U.S. Energy Information Administration ... (e.g., water vapor, carbon dioxide, helium, hydrogen sulfide, and nitrogen) ... Storage Withdrawals: ...

224

Energy information directory 1995  

Science Conference Proceedings (OSTI)

The National Energy Information Center provides energy information and referral assistance to Federal, State, and local governments, the academic community, business and industrial organizations, and the general public. This Energy Information Directory is used to assist the Center staff as well as other DOE staff in directing inquires to the proper offices.

NONE

1995-10-01T23:59:59.000Z

225

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

226

About EIA - Ourwork - U.S. Energy Information Administration (EIA)  

Gasoline and Diesel Fuel Update (EIA)

Mission and Overview Mission and Overview The U.S. Energy Information Administration (EIA) is the statistical and analytical agency within the U.S. Department of Energy. EIA collects, analyzes, and disseminates independent and impartial energy information to promote sound policymaking, efficient markets, and public understanding of energy and its interaction with the economy and the environment. EIA is the nation's premier source of energy information and, by law, its data, analyses, and forecasts are independent of approval by any other officer or employee of the U.S. Government. photo of the James Forrestal building EIA conducts a comprehensive data collection program that covers the full spectrum of energy sources, end uses, and energy flows. EIA also prepares informative energy analyses, monthly short-term forecasts of energy market

227

Comparing Price Forecast Accuracy of Natural Gas Models and Futures Markets  

E-Print Network (OSTI)

against the risk of energy price fluctuations. In theory,The poor track record of energy price forecasting models hasof information about future energy prices, including most

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

2005-01-01T23:59:59.000Z

228

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

229

Energy information sheets  

SciTech Connect

The National Energy Information Center (NEIC), as part of its mission, provides energy information and referral assistance to Federal, State, and local governments, the academic community, business and industrial organizations, and the general public. Written for the general public, the EIA publication Energy Information Sheets was developed to provide information on various aspects of fuel production, prices, consumption and capability. The information contained herein pertains to energy data as of December 1991. Additional information on related subject matter can be found in other EIA publications as referenced at the end of each sheet.

Not Available

1993-12-02T23:59:59.000Z

230

SHOET-TERM - Energy Information Administration  

U.S. Energy Information Administration (EIA)

System, maintained by the Energy Analysis and Forecasting Division of the Office of Energy Markets and End Use. 21. PennWell Publishing Company., ...

231

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 ...

232

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.

233

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, ...

234

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

235

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

236

1 Energy Information Administratlor  

Gasoline and Diesel Fuel Update (EIA)

2) 1 9 2) 1 9 1 Energy Information Administratlor ^1982 Washington D ANNUAL April 1983 ANNUAL ENERGY OUTLOOK With Projections to 1990 Ird __ PALm JA A_ .^ ^^^^^^^aaaaaayMN - C s 1s|! l4 1iw_ - _ ~ 1~ __ ~I. EN - i*' This publication is available from the Superintendent of Documents, U.S. Government Printing Office (GPO). Ordering information and purchase of this and other Energy Information Administration (EIA) publications may be obtained from the GPO or the EIA's National Energy Information Center (NEIC). Questions on energy statistics should be directed to the NEIC. Addresses and telephone numbers appear below. An order form is enclosed for your convenience. National Energy Information Center, EI-20 Energy Information Administration Forrestal Building Room 1F-048 Washington, D.C. 20585

237

Energy Information Administration (EIA) - Supplement Tables - Contact  

Gasoline and Diesel Fuel Update (EIA)

6 6 For Further Information . . . The Annual Energy Outlook 2006 (AEO2006) was prepared by the Energy Information Administration (EIA), under the direction of John J. Conti (john.conti@eia.does.gov, 202/586-2222), Director, Integrated Analysis and Forecasting; Paul D. Holtberg (paul.holtberg@eia.doe.gov, 202/586-1284), Director, Demand and Integration Division; Joseph A. Beamon (jbeamon@eia.doe.gov, 202/586-2025), Director, Coal and Electric Power Division; Andy S. Kydes (akydes@eia.doe.gov, 202/586-2222), Acting Director, Oil and Gas Division and Senior Technical Advisor; and Glen E. Sweetnam (glen.sweetnam@eia.doe.gov, 202/586-2188), Director, International, Economic, and Greenhouse Gases Division. For ordering information and questions on other energy statistics available from EIA, please contact EIA's National Energy Information Center. Addresses, telephone numbers, and hours are as follows:

238

Energy Information Directory of the Energy Information Administration  

U.S. Energy Information Administration (EIA)

Page of Energy Information Directory provided by the Energy Information Administration, ... Civilian Radioactive Waste Management; Clean Air Markets Division;

239

Energy information directory 1994  

Science Conference Proceedings (OSTI)

The National Energy Information Center (NEIC), as part of its mission, provides energy information and referral assistance to Federal, State, and local governments, the academic community, business and industrial organizations, and the general public. The two principal functions related to this task are (1) operating a general access telephone line, and (2) responding to energy-related correspondence addressed to the Energy Information Administration (EIA). The Energy Information Directory was developed to assist the NEIC staff, as well as other Department of Energy (DOE) staff, in directing inquiries to the proper offices within DOE, other Federal agencies, or energy-related trade associations. The Directory is a list of most Government offices and trade associations that are involved in energy matters. It does not include those DOE offices which do not deal with the public or public information.

Not Available

1994-03-28T23:59:59.000Z

240

Press Room - U.S. Energy Information Administration (EIA)  

U.S. Energy Information Administration (EIA)

American Energy Security and Innovation: An Assessment of North America's Energy Resources pdf. Subject: EIA, Energy Markets, Forecasts: Presented by:

Note: This page contains sample records for the topic "forecasting energy information" 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

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 ...

242

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 ...

243

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

244

Open Energy Information Systems  

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

OpenEIS (energy information OpenEIS (energy information systems) Jessica Granderson Lawrence Berkeley National Laboratory JGranderson@lbl.gov, 510.486.6792 April 3, 2013 2 | Building Technologies Office eere.energy.gov Purpose & Objectives Problem Statement: Advanced algorithms and analyses can enable 5-40% savings, yet are rarely adopted; 3 relevant barriers include: 1. Lack of awareness that simple analytics can be used to generate valuable insights and actionable information, without further training

245

Open Energy Information Systems  

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

OpenEIS (energy information OpenEIS (energy information systems) Jessica Granderson Lawrence Berkeley National Laboratory JGranderson@lbl.gov, 510.486.6792 April 3, 2013 2 | Building Technologies Office eere.energy.gov Purpose & Objectives Problem Statement: Advanced algorithms and analyses can enable 5-40% savings, yet are rarely adopted; 3 relevant barriers include: 1. Lack of awareness that simple analytics can be used to generate valuable insights and actionable information, without further training

246

Onsemble | Open Energy Information  

Open Energy Info (EERE)

Onsemble Onsemble Jump to: navigation, search Logo: Onsemble Name Onsemble Place Boulder, Colorado Zip 80302 Sector Wind energy Product wind energy forecasting Website http://www.onsemble.ws/ Coordinates 40.010492°, -105.276843° 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":40.010492,"lon":-105.276843,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

247

Chart Gallery for January 2014 - U.S. Energy Information ...  

U.S. Energy Information Administration (EIA)

Total production (left axis) Production forecast (left axis) Source: Short-Term Energy Outlook, January 2014. Forecast 275 300 325 350 375 400 425 ...

248

Administrator - Energy Information Administration  

U.S. Energy Information Administration (EIA)

www.eia.gov Adam Sieminski Administrator Biography Adam Sieminski was sworn in on June 4, 2012, as the eighth administrator of the U.S. Energy Information ...

249

Service | Open Energy Information  

Open Energy Info (EERE)

References EIA CBECS Building Types 1 References EIA CBECS Building Types U.S. Energy Information Administration (Oct 2008) Retrieved from "http:en.openei.orgw...

250

valdez - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Sources: Petroleum supply data were derived from the Energy Information Administration, Weekly Petroleum Reporting System; crude oil and motor gasoline spot price ...

251

Glossary - Energy Information Administration  

U.S. Energy Information Administration (EIA)

that are tariff based and corporately aligned with companies that own distribution facilities are also ... U.S. Energy Information Administration ...

252

Glossary - Energy Information Administration  

U.S. Energy Information Administration (EIA)

U.S. Energy Information Administration/Electric Power Monthly June 2012 167 Glossary Anthracite: ... the electric department at tariff or other specified rates

253

Energy Information Directory 1999  

U.S. Energy Information Administration (EIA)

166 Argonne National Laboratory ... and renewable energy technologies in the four sectors of the assigned geographical areas; to provide EE information on

254

RFS - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Technical Conference September 28, 2004 Elizabeth Campbell Energy Information Administration (EIA) Elizabeth.Campbell@eia.doe.gov. www.eia.gov ...

255

Energy Information Administration  

U.S. Energy Information Administration (EIA)

This report was prepared by the U.S. Energy Information Administration (EIA), the statistical and analytical agency within the U.S. Department of ...

256

EIA - Energy Information Administration  

U.S. Energy Information Administration (EIA)

EIA Energy Information Administration Office of Oil and Gas November 17, 1997 http://www.eia.doe.gov NYM EX Future Prices vs Henry Hub Spot Prices

257

Energy Information Administration  

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

Annual Report of the Origin of Natural Gas Liquids Production 1 U.S. DEPARTMENT OF ENERGY Energy Information Administration Washington, DC 20585 Form Approved XXXX XXXX OMB No....

258

Energy information directory 1998  

SciTech Connect

The National Energy Information Center (NEIC), as part of its mission, provides energy information and referral assistance to Federal, State, and local governments, the academic community, business and industrial organizations, and the general public. The two principal functions related to this task are: (1) operating a general access telephone line, and (2) responding to energy-related correspondence addressed to the Energy Information Administration (EIA). The Energy Information Directory was developed to assist the NEIC staff, as well as other Department of Energy (DOE) staff, in directing inquiries to the proper offices within DOE, other Federal agencies, or energy-related trade associations. The Directory lists most Government offices and trade associations that are involved in energy matters.

1998-11-01T23:59:59.000Z

259

Annual Energy Outlook 2013 - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Energy Information Administration ... Uranium fuel, nuclear reactors, ... About the National Energy Modeling System (NEMS)

260

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

Note: This page contains sample records for the topic "forecasting energy information" 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

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

262

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

263

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

264

U.S. Department of Energy Energy Information Administration  

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

Department of Energy Department of Energy Energy Information Administration Form EIA-5 (July 2011) Quarterly Coal Consumption and Quality Report Coke Plants Page 1 Form Approved OMB No. 1905-0167 Expires: 06/30/2014 Burden: 1.50 Hours General Instructions: A. PURPOSE. The EIA-5 survey collects data related to coal receipts, stocks, and coke production at U.S. coke plants. The data are collected to provide Congress with basic statistics concerning coal consumption, stocks, prices, and quality as required by the Federal Energy Administration Act of 1974 (FEAA) (P.L. 93-275), as amended. These data appear in the Annual Coal Report, the Quarterly Coal Report, the Monthly Energy Review, and the Annual Energy Review. In addition, the Energy Information Administration uses the data for coal demand analyses and in short-term modeling efforts, which produce forecasts of coal demand

265

Energy Information Directory of the Energy Information Administration  

U.S. Energy Information Administration (EIA)

Page of Energy Information Directory provided by the Energy ... Home > Publications & Reports > Energy ... Hydroelectric industry; Hydrogen Technology;

266

Energy Information Directory of the Energy Information Administration  

U.S. Energy Information Administration (EIA)

Page of Energy Information Directory provided by the Energy Information Administration, other DOE Offices, other Federal and State agencies, Energy Ministries of ...

267

Annual Energy Review - Energy Information Administration  

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

Total Energy - Data - U.S. Energy Information Administration (EIA) U.S. Energy Information Administration - EIA - Independent Statistics and Analysis Sources & Uses Petroleum &...

268

The Value of ENSO Forecast Information to Dual-Purpose Winter Wheat Production in the U.S. Southern High Plains  

Science Conference Proceedings (OSTI)

The value of El NioSouthern Oscillation (ENSO) forecast information to southern high plains winter wheat and cattle-grazing production systems was estimated here by simulation. Although previous work has calculated average forecast value, the ...

Steve Mauget; John Zhang; Jonghan Ko

2009-10-01T23:59:59.000Z

269

Fuel Consumption - Energy Information Administration  

U.S. Energy Information Administration (EIA)

The Energy Information Administration, Residential Energy Consumption Survey(RTECS), 1994 Fuel Consumption

270

Alternative Fuels - Energy Information Administration  

U.S. Energy Information Administration (EIA)

The Energy Information Administration, Residential Transportation Energy Consumption Survey(RTECS), Transporation Channel of Alternative Fuels

271

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

272

Energy Information Administration - Energy Efficiency, energy consumption  

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

Efficiency Efficiency Energy Efficiency energy consumption savings households, buildings, industry & vehicles The Energy Efficiency Page reflects EIA's information on energy efficiency and related information. This site provides an in depth discussion of the concept of energy efficiency and how it is measured, measurement, summaries of formal user meetings on energy efficiency data and measurement, as well as analysis of greenhouse gas emissions as related to energy use and energy efficiency. At the site you will find links to other sources of information, and via a listserv all interested analysts can share ideas, data, and ask for assistance on methodological problems associated with energy use, energy efficiency, and greenhouse gas issues. Contact: Behjat.Hojjati@eia.doe.gov

273

U.S. Energy Information Administration (EIA)  

U.S. Energy Information Administration (EIA)

US EIA provides data, forecasts, country analysis brief and other analyses, focusing on the energy industry including oil, natural gas and electricity.

274

U.S. Energy Information Administration (EIA)  

U.S. Energy Information Administration (EIA)

US EIA provides data, forecasts, country analysis brief and other analyses, focusing on the energy industry including oil, natural gas and ...

275

Congo (Brazzaville) - U.S. Energy Information ...  

U.S. Energy Information Administration (EIA)

US EIA provides data, forecasts, country analysis brief and other analyses, focusing on the energy industry including oil, natural gas and ...

276

US Energy Information Administration - Sri Lanka  

U.S. Energy Information Administration (EIA)

US EIA provides data, forecasts, country analysis brief and other analyses, focusing on the energy industry including oil, natural gas and electricity.

277

Semantic search | Open Energy Information  

Open Energy Info (EERE)

Database Energy Indicators for Sustainable Development: Guidelines and Methodologies Energy Savings Performance Contracts (ESPC) Webinar Energy-Economic Information System...

278

Forecasting the Path of China's CO2 Emissions Using Province Level Information  

E-Print Network (OSTI)

Garin-Mu oz, T. : 2002, Forecasting chinas carbon dioxideF. X. : 2001, Elements of Forecasting, South-Western College2003, Macroeconomic forecasting in the euro area: Country

Auffhammer, Maximilian; Carson, Richard T.

2007-01-01T23:59:59.000Z

279

Integration of Climate and Weather Information for Improving 15-Day-Ahead Accumulated Precipitation Forecasts  

Science Conference Proceedings (OSTI)

Skillful medium-range weather forecasts are critical for water resources planning and management. This study aims to improve 15-day-ahead accumulated precipitation forecasts by combining biweekly weather and disaggregated climate forecasts. A ...

Hui Wang; A. Sankarasubramanian; Ranji S. Ranjithan

2013-02-01T23:59:59.000Z

280

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

Note: This page contains sample records for the topic "forecasting energy information" 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

DOE/EIA-0202(85/4Q) Short-Term Washington, D C Energy Information ...  

U.S. Energy Information Administration (EIA)

forecasting system, analyzes previous forecast errors, and provides detailed analyses of current issues that affect EIA's short-term energy forecasts.

282

Buildings | Open Energy Information  

Open Energy Info (EERE)

Buildings Buildings Jump to: navigation, search Building Energy Technologies NREL's New Energy-Efficient "RSF" Building Buildings provide shelter for nearly everything we do-we work, live, learn, govern, heal, worship, and play in buildings-and they require enormous energy resources. According to the U.S. Energy Information Agency, homes and commercial buildings use nearly three quarters of the electricity in the United States. Opportunities abound for reducing the huge amount of energy consumed by buildings, but discovering those opportunities requires compiling substantial amounts of data and information. The Buildings Energy Technologies gateway is your single source of freely accessible information on energy usage in the building industry as well as tools to improve

283

Energy Storage | Open Energy Information  

Open Energy Info (EERE)

Storage Storage Jump to: navigation, search TODO: Source information Contents 1 Introduction 2 Benefits 3 Technologies 4 References Introduction Energy storage is a tool that can be used by grid operators to help regulate the electrical grid and help meet demand. In its most basic form, energy storage "stores" excess energy that would otherwise be wasted so that it can be used later when demand is higher. Energy Storage can be used to balance microgrids, perform frequency regulation, and provide more reliable power for high tech industrial facilities.[1] Energy storage will also allow for the expansion of intermittent renewable energy, like wind and solar, to provide electricity around the clock. Some of the major issues concerning energy storage include cost, efficiency, and size.

284

Connexus Energy | Open Energy Information  

Open Energy Info (EERE)

Connexus Energy Connexus Energy Jump to: navigation, search Name Connexus Energy Place Minnesota Utility Id 689 Utility Location Yes Ownership C NERC Location MRO NERC MRO Yes Activity Distribution Yes References EIA Form EIA-861 Final Data File for 2010 - File1_a[1] Energy Information Administration Form 826[2] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Utility Rate Schedules Grid-background.png Air Source Heat Pump Residential Controlled Irrigation Industrial Controlled Off-Peak Energy Storage - Commercial Commercial Controlled Off-Peak Energy Storage - Industrial Industrial Controlled Off-Peak Energy Storage - Residential Residential Critical Peak Pricing Pilot Residential E100 Residential

285

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

286

Envisolar | Open Energy Information  

Open Energy Info (EERE)

resource forecasting consultant, Envisolar, is funded by the ESA to analyse satellite radiation data across Europe so that solar projects can be optimally located. References...

287

Highlights - Energy Information Administration  

U.S. Energy Information Administration (EIA)

forecasting increasing oil prices for the remainder of 1999 and remaining at relatively high levels throughout 2000. Of course, if OPEC production in 2000 exceeds this

288

Press Room - U.S. Energy Information Administration (EIA)  

U.S. Energy Information Administration (EIA)

EIA, Renewable, Forecasts: Presented by: Adam Sieminski, Administrator: Presented to: Subcommittee on Energy and Power Committee on Energy and ...

289

ENERGY INFORMATION CLEARINGHOUSE  

DOE Green Energy (OSTI)

Alaska has spent billions of dollars on various energy-related activities over the past several decades, with projects ranging from smaller utilities used to produce heat and power in rural Alaska to huge endeavors relating to exported resources. To help provide information for end users, utilities, decision makers, and the general public, the Institute of Northern Engineering at UAF established an Energy Information Clearinghouse accessible through the worldwide web in 2002. This clearinghouse contains information on energy resources, end use technologies, policies, related environmental issues, emerging technologies, efficiency, storage, demand side management, and developments in Alaska.

Ron Johnson

2003-10-01T23:59:59.000Z

290

Energy Information Administration (EIA) - Assumptions to the Annual Energy  

Gasoline and Diesel Fuel Update (EIA)

Renewable Fuels Module (RFM) provides natural resources supply and technology input information for forecasts of new central-station U.S. electricity generating capacity using renewable energy resources. The RFM has seven submodules representing various renewable energy sources, biomass, geothermal, conventional hydroelectricity, landfill gas, solar thermal, solar photovoltaics, and wind108. Renewable Fuels Module (RFM) provides natural resources supply and technology input information for forecasts of new central-station U.S. electricity generating capacity using renewable energy resources. The RFM has seven submodules representing various renewable energy sources, biomass, geothermal, conventional hydroelectricity, landfill gas, solar thermal, solar photovoltaics, and wind108. Some renewables, such as landfill gas (LFG) from municipal solid waste (MSW) and other biomass materials, are fuels in the conventional sense of the word, while others, such as water, wind, and solar radiation, are energy sources that do not involve the production or consumption of a fuel. Renewable technologies cover the gamut of commercial market penetration, from hydroelectric power, which was one of the first electric generation technologies, to newer power systems using biomass, geothermal, LFG, solar, and wind energy. In some cases, they require technological innovation to become cost effective or have inherent characteristics, such as intermittency, which make their penetration into the electricity grid dependent upon new methods for integration within utility system plans or upon the availability of low-cost energy storage systems.

291

Contribute | Open Energy Information  

Open Energy Info (EERE)

Contribute Contribute Jump to: navigation, search Get involved with OpenEI Contents 1 Abstract 2 Utility Rates 3 Tools 4 Events 5 Definitions 6 Energy Generation Facility 7 Incentives and Policies for Renewable Energy and Energy Efficiency 8 Companies & Organizations 9 Creating a Page From Scratch Abstract OpenEI is a global knowledge-sharing community working together to connect people with the latest information and data on energy resources. Even if you're not an energy expert, you may have some information that could help our community continue to grow. Maybe we don't yet have the rate structure for your electric utility -- you can add it. Maybe you know about a new wind farm or geothermal facility that was recently developed -- you can add that information here. Or maybe you're attending an upcoming energy-related

292

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...

293

OpenEI/Tool/Keyword Challenge Generated | Open Energy Information  

Open Energy Info (EERE)

+ ElectricAnalysis.com + Energy Forecaster + Energy Monitoring Made Simple (EMMS) + Energy Usage Analytics + EnergyDataOnline.com + EnergyRewards + Exploring Background...

294

Short-Term Energy Outlook - Energy Information Administration  

U.S. Energy Information Administration (EIA)

the Short-Term Integrated Forecasting System (STIFS) database, are mostly EIA data regularly published in the Monthly Energy Review, Petroleum Supply Monthly, and

295

Information Release Notice - Energy Information Administration  

U.S. Energy Information Administration (EIA)

On February 22, 2010, the Energy Information Administration (EIA) will change the web addresses for key information releases in the Weekly Natural Gas Storage Report ...

296

EIA revises up forecast for U.S. 2013 crude oil production by...  

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

EIA revises up forecast for U.S. 2013 crude oil production by 70,000 barrels per day The forecast for U.S. crude oil production keeps going higher. The U.S. Energy Information...

297

Energy information directory 1997  

SciTech Connect

The National Energy Information Center (NEIC), as part of its mission, provides energy information and referral assistance to Federal, state, and local governments, the academic community, business and industrial organizations, and the general public. The two principal functions related to this task are: (1) operating a general access telephone line, and (2) responding to energy-related correspondence addressed to the Energy Information Administration (EIA). The Energy Information Directory was developed to assist the NEIC staff, as well as other Department of Energy (DOE) staff, in directing inquiries to the proper offices within DOE, other Federal agencies, or energy-related trade associations. The Directory lists some of the Government offices and trade associations that are involved in energy matters. It includes those DOE offices which deal with the public or public information. For the purposes of this publication, each entry has been given a numeric identification symbol. The index found in the back of this publication uses these identification numbers to refer the reader to relevant entries.

1997-09-01T23:59:59.000Z

298

EIA Energy Information Administration  

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

as of August 15, with Consuming East region storage facilities holding 1,217 Bcf. The Energy Information Administration has revised downward its estimate of working gas in storage...

299

EIA Energy Information Administration  

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

East to 1,443 Bcf - 9 Bcf more than last year at this time according to AGA data. The Energy Information Administration (EIA) estimates that the working gas level at the end of...

300

EIA Energy Information Administration  

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

by almost 20 Bcf the weekly average of about 74.1 Bcf during May last year, using the Energy Information Administration&20;s (EIA) reported total net injections in May 1996 of 328...

Note: This page contains sample records for the topic "forecasting energy information" 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

Table - Energy Information Administration  

U.S. Energy Information Administration (EIA)

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

302

Energy Information Directory 1996  

SciTech Connect

This directory lists most government offices and trade associations that are involved in energy matters. It does not include DOE offices which do not deal with the public or public information.

1997-01-01T23:59:59.000Z

303

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

304

5. Information Sources - Energy Information Administration  

U.S. Energy Information Administration (EIA)

66 Energy Information Administration Energy Policy Act Transportation Study: Interim Report on Natural Gas Flows and Rates of purchasers. All general tariff items ...

305

Wind energy | Open Energy Information  

Open Energy Info (EERE)

(Redirected from Wind) (Redirected from Wind) Jump to: navigation, search Wind energy is a form of solar energy.[1] Wind energy (or wind power) describes the process by which wind is used to generate electricity. Wind turbines convert the kinetic energy in the wind into mechanical power. A generator can convert mechanical power into electricity[2]. Mechanical power can also be utilized directly for specific tasks such as pumping water. The US DOE developed a short wind power animation that provides an overview of how a wind turbine works and describes the wind resources in the United States. Contents 1 Wind Energy Basics 1.1 Equation for Wind Power 2 DOE Wind Programs and Information 3 Worldwide Installed Capacity 3.1 United States Installed Capacity 4 Wind Farm Development 4.1 Land Requirements

306

Open Energy Information (en) Open Energy Information (en)  

Open Energy Info (EERE)

Open Energy Information (en) Open Energy Information (en) http:en.openei.orgfavicon.ico http:en.openei.orgwikiSpecial:Search...

307

Monthly Energy Review - Energy Information Administration  

U.S. Energy Information Administration (EIA)

U.S. Energy Information Administration September 2013 Monthly Energy Review. Note: Information about data precision and revisions. Release Date: September 25, 2013

308

Monthly Energy Review - Energy Information Administration  

U.S. Energy Information Administration (EIA)

U.S. Energy Information Administration August 2013 Monthly Energy Review. Note: Information about data precision and revisions. Release Date: August 27, 2013

309

Browse wiki | Open Energy Information  

Open Energy Info (EERE)

forecasting products for wind + , solar + , and hydro + , Pacific Northwest Area + , Seattle + , Washington + Place Seattle, Washington + Product Assessment and forecasting...

310

Construction of an informative hierarchical prior distribution. Application to electricity load forecasting  

E-Print Network (OSTI)

In this paper, we are interested in the estimation and prediction of a parametric model on a short dataset upon which it is expected to overfit and perform badly. To overcome the lack of data (relatively to the dimension of the model) we propose the construction of a hierarchical informative Bayesian prior based upon another longer dataset which is assumed to share some similarities with the original, short dataset. We apply the methodology to a basic model for the electricity load forecasting on both simulated and real datasets, where it leads to a substantial improvement of the quality of the predictions.

Launay, Tristan; Lamarche, Sophie

2012-01-01T23:59:59.000Z

311

Monthly Energy Review - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Energy Information Administration - EIA - Official Energy Statistics from the U.S. Government ... Alternative Fuels. Includes hydropower, solar, wind, geothermal, ...

312

Annual Energy Outlook 2013 - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Financial market analysis and financial data for major energy companies. Environment. ... Country energy information, detailed and overviews. Highlights

313

Assumptions to Annual Energy Outlook - Energy Information ...  

U.S. Energy Information Administration (EIA)

Energy Information Administration - EIA ... Financial market analysis and financial data for major energy companies. Environment. Greenhouse gas data, ...

314

Annual Energy Outlook 2013 - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Energy Information Administration - EIA ... Markets & Finance. Financial market analysis and financial data for major energy companies. Environment.

315

International Energy Outlook 2011 - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Natural gas Unconventional Total Conventional Natural gas (trillion cubic feet) U.S. Energy Information Administration International Energy Outlook 2011

316

The Strategy of Professional Forecasting  

E-Print Network (OSTI)

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

Marco Ottaviani; Peter Norman Srensen

2003-01-01T23:59:59.000Z

317

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

318

Energy Information Administration (EIA) - Assumptions to the Annual Energy  

Gasoline and Diesel Fuel Update (EIA)

Residential Demand Module Residential Demand Module Assumptions to the Annual Energy Outlook 2006 Figure 5. United States Census Divisions. Need help, contact the National Energy Information Center at 202-586-8800. The NEMS Residential Demand Module forecasts future residential sector energy requirements based on projections of the number of households and the stock, efficiency, and intensity of use of energy-consuming equipment. The Residential Demand Module projections begin with a base year estimate of the housing stock, the types and numbers of energy-consuming appliances servicing the stock, and the “unit energy consumption” by appliance (or UEC—in million Btu per household per year). The projection process adds new housing units to the stock, determines the equipment

319

Energy Information Administration (EIA) - Annual Energy Outlook with  

Gasoline and Diesel Fuel Update (EIA)

with Projections to 2030 with Projections to 2030 Annual Energy Outlook 2007 with Projections to 2030 The Annual Energy Outlook 2007 presents a projection and analysis of US energy supply, demand, and prices through 2030. The projections are based on results from the Energy Information Administration's National Energy Modeling System. The AEO2007 includes the reference case, additional cases examining energy markets, and complete documentation. The report is also released in print. Errata as of 10/15/07 Forecast Data Tables Reference Case Tables (links to individual excel and PDF files) High Economic Growth Case Tables (links to individual excel and PDF files) Low Economic Growth Case Tables (links to individual excel and PDF files) High Price Case Tables (links to individual excel and PDF files)

320

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

Note: This page contains sample records for the topic "forecasting energy information" 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

Energy Information Administration  

Gasoline and Diesel Fuel Update (EIA)

Marks 25th Anniversary of 1973 Oil Embargo Marks 25th Anniversary of 1973 Oil Embargo Jay Hakes, Administrator, Energy Information Administration (EIA) September 3, 1998 Click here to start Table of Contents Energy Information Administration Some Views of 1973 Major Disruptions of World Oil Supply Imported Oil as a Percent of Total U. S. Consumption Percent of OPEC and Persian Gulf World Oil Production U. S. Retail Price of Gasoline U. S. Total Petroleum Consumption U. S. Per Capita Use of Petroleum U. S. Government Owned Crude Oil Stocks Cost of Finding Oil and Gas Reserves U. S. MPG Ratings for New Vehicles U. S. Average Horsepower of a New Vehicle Share of U. S. Electricity Generated By Petroleum Futures And Options Markets Changed Energy Marketing U. S. Total Energy Consumption U. S. Per Capita Use of Energy

322

U.S. Energy Information Administration | Annual Energy Outlook 2013  

Gasoline and Diesel Fuel Update (EIA)

Annual Energy Outlook 2013 Annual Energy Outlook 2013 Source: U.S. Energy Information Administration, Office of Energy Analysis. U.S. Energy Information Administration / Annual Energy Outlook 2010 213 Appendix F Regional Maps Figure F1. United States Census Divisions Pacific East South Central South Atlantic Middle Atlantic New England West South Central West North Central East North Central Mountain AK WA MT WY ID NV UT CO AZ NM TX OK IA KS MO IL IN KY TN MS AL FL GA SC NC WV PA NJ MD DE NY CT VT ME RI MA NH VA WI MI OH NE SD MN ND AR LA OR CA HI Middle Atlantic New England East North Central West North Central Pacific West South Central East South Central South Atlantic Mountain Source: U.S. Energy Information Administration, Office of Integrated Analysis and Forecasting. Appendix F Regional Maps Figure F1. United States Census Divisions U.S. Energy Information Administration | Annual Energy Outlook 2013

323

Energy Information Administration - Commercial Energy Consumption...  

Annual Energy Outlook 2012 (EIA)

to totals. Source: Energy Information Administration, Office of Energy Markets and End Use, Forms EIA-871A, C, and E of the 2003 Commercial Buildings Energy Consumption Survey....

324

Energy Information Administration - Commercial Energy Consumption...  

Gasoline and Diesel Fuel Update (EIA)

may not sum to totals. Source: Energy Information Administration, Office of Energy Markets and End Use, Form EIA-871A of the 2003 Commercial Buildings Energy Consumption Survey....

325

Residential Energy Consumption Survey (RECS) - Energy Information ...  

U.S. Energy Information Administration (EIA)

Heating and cooling no longer majority of U.S. home energy use. Source: U.S. Energy Information Administration, Residential Energy Consumption Survey.

326

Annual Energy Review - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Energy Information Administration ... State Energy Data System (SEDS) International Energy Statistics ... 8.13 Electric Utility Demand-Side Management Programs, ...

327

Wind energy information guide  

DOE Green Energy (OSTI)

This book is divided into nine chapters. Chapters 1--8 provide background and annotated references on wind energy research, development, and commercialization. Chapter 9 lists additional sources of printed information and relevant organizations. Four indices provide alphabetical access to authors, organizations, computer models and design tools, and subjects. A list of abbreviations and acronyms is also included. Chapter topics include: introduction; economics of using wind energy; wind energy resources; wind turbine design, development, and testing; applications; environmental issues of wind power; institutional issues; and wind energy systems development.

NONE

1996-04-01T23:59:59.000Z

328

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

329

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

330

Annual Energy Review - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Energy Information Administration - EIA ... Exploration and reserves, storage, imports and exports, production, prices, sales. Electricity.

331

Arnold Schwarzenegger INTEGRATED FORECAST AND  

E-Print Network (OSTI)

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

332

Energy Guru | Open Energy Information  

Open Energy Info (EERE)

Guru Guru Jump to: navigation, search Name Energy Guru Place Vienna, Virginia Zip 22182 Sector Renewable Energy Product Washington-based renewable energy information provider. Coordinates 48.202548°, 16.368805° 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":48.202548,"lon":16.368805,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

333

EIA - Electricity Data - 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 24, 2013 | Next Release: November 18, 2013

334

U.S. Energy Information Administration (EIA)  

U.S. Energy Information Administration (EIA)

Maps by energy source and topic, includes forecast maps. ... Press Releases ... The 2013 EIA Energy Conference was held June 1718 at the JW Marriott in ...

335

Energy Information Administration (EIA) - Annual Energy Outlook with  

Gasoline and Diesel Fuel Update (EIA)

Evaluation, 2005 Evaluation, 2005 Annual Energy Outlook Evaluation, 2005 Each year since 1996, EIA's Office of Integrated Analysis and Forecasting has produced a comparison between realized energy outcomes and the projections included in previous editions of the AEO. Each year, the comparison adds the projections from the most recent AEO and updates the historical data to the most recently available. The comparison summarizes the relationship of the AEO reference case projections since 1982 to realized outcomes by calculating the average absolute percent differences for several of the major variables for AEO82 through AEO2005. Annual Energy Outlook Evaluation, 2005 Report Annual Energy Outlook Evaluation, 2005 Report. Need help, contact the National Energy Information Center at 202-586-8800.

336

The Information Needed to Evaluate the Worth of Uncertain Information, Predictions and Forecasts  

Science Conference Proceedings (OSTI)

To evaluate the worth of uncertain information one must obtain three types of evaluative information: 1) statistical measures of the uncertainty of the information and of its likely occurrence; 2) the decision rule (how the information is used) ...

Donald R. Davis; Soronadi Nnaji

1982-04-01T23:59:59.000Z

337

Energy Information Administration (EIA) - Annual Energy Outlook 2007 -  

Gasoline and Diesel Fuel Update (EIA)

Contacts Contacts Annual Energy Outlook 2007 with Projections to 2030 For Further Information . . . The Annual Energy Outlook 2007 (AEO2007) was prepared by the Energy Information Administration (EIA), under the direction of John J. Conti (john.conti@eia.doe.gov, 202-586-2222), Director, Integrated Analysis and Forecasting; Paul D. Holtberg (paul.holtberg@eia.doe.gov, 202/586-1284), Director, Demand and Integration Division; Joseph A. Beamon (jbeamon@eia.doe.gov, 202/586-2025), Director, Coal and Electric Power Division; A. Michael Schaal (michael.schaal@eia.doe.gov, 202/586-5590), Director, Oil and Gas Division; Glen E. Sweetnam (glen.sweetnam@eia.doe.gov, 202/586-2188), Director, International, Economic, and Greenhouse Gases Division; and Andy S. Kydes (akydes@eia.doe.gov, 202/586-2222), Senior Technical Advisor.

338

Browse wiki | Open Energy Information  

Open Energy Info (EERE)

Evaluation + , State-level Benefits of Renewable Energy + , Transportation Energy Data Book + , Wind Energy Data and Information Gateway (WENDI) + Developer Bioenergy KDF + ,...

339

Browse wiki | Open Energy Information  

Open Energy Info (EERE)

from the U.S. National Renewable Energy Laboratory's Power Technologies Energy Data Book. The data book is an excellent source of consistent information on renewable energy...

340

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: ...

Note: This page contains sample records for the topic "forecasting energy information" 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

Energy Information Administration (EIA) - Supplement Tables - Contact  

Gasoline and Diesel Fuel Update (EIA)

7 7 For Further Information . . . The Annual Energy Outlook 2007 (AEO2007) was prepared by the Energy Information Administration (EIA), under the direction of John J. Conti (john.conti@eia.doe.gov, 202-586-2222), Director, Integrated Analysis and Forecasting; Paul D. Holtberg (paul.holtberg@eia.doe.gov, 202/586-1284), Director, Demand and Integration Division; Joseph A. Beamon (jbeamon@eia.doe.gov, 202/586-2025), Director, Coal and Electric Power Division; A. Michael Schaal (michael.schaal@eia.doe.gov, 202/586-5590), Director, Oil and Gas Division; Glen E. Sweetnam (glen.sweetnam@eia.doe.gov, 202/586-2188), Director, International, Economic, and Greenhouse Gases Division; and Andy S. Kydes (akydes@eia.doe.gov, 202/586-2222), Senior Technical Advisor.

342

Directory of energy information administration models 1995  

Science Conference Proceedings (OSTI)

This updated directory has been published annually; after this issue, it will be published only biennially. The Disruption Impact Simulator Model in use by EIA is included. Model descriptions have been updated according to revised documentation approved during the past year. This directory contains descriptions about each model, including title, acronym, purpose, followed by more detailed information on characteristics, uses, and requirements. Sources for additional information are identified. Included are 37 EIA models active as of February 1, 1995. The first group is the National Energy Modeling System (NEMS) models. The second group is all other EIA models that are not part of NEMS. Appendix A identifies major EIA modeling systems and the models within these systems. Appendix B is a summary of the `Annual Energy Outlook` Forecasting System.

NONE

1995-07-13T23:59:59.000Z

343

Directory of Energy Information Administration Models 1993  

SciTech Connect

This directory contains descriptions about each model, including the title, acronym, purpose, followed by more detailed information on characteristics, uses, and requirements. Sources for additional information are identified. Included in this directory are 35 EIA models active as of May 1, 1993. Models that run on personal computers are identified by ``PC`` as part of the acronym. EIA is developing new models, a National Energy Modeling System (NEMS), and is making changes to existing models to include new technologies, environmental issues, conservation, and renewables, as well as extend forecast horizon. Other parts of the Department are involved in this modeling effort. A fully operational model is planned which will integrate completed segments of NEMS for its first official application--preparation of EIA`s Annual Energy Outlook 1994. Abstracts for the new models will be included in next year`s version of this directory.

Not Available

1993-07-06T23:59:59.000Z

344

Verifying Forecasts Spatially  

Science Conference Proceedings (OSTI)

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

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

2010-10-01T23:59:59.000Z

345

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

346

Energy information sheets, September 1996  

SciTech Connect

The National Energy Information Center (NEIC), as part of its mission, provides energy information and referral assistance to Federal, State, and local governments, the academic community, business and industrial organizations, and the public. The Energy Information Sheets was developed to provide general information on various aspects of fuel production, prices, consumption, and capability. Additional information on related subject matter can be found in other Energy Information Administration (EIA) publications as referenced at the end of each sheet.

NONE

1996-09-01T23:59:59.000Z

347

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

U.S. Energy Information Administration (EIA)

Provides data, forecasts, country analysis brief and other analyses, focusing on the energy industry including oil, natural gas and electricity.

348

Press Room - U.S. Energy Information Administration (EIA)  

U.S. Energy Information Administration (EIA)

Renewable Fuel Standard (RFS) program pdf. Subject: EIA, Renewable, Forecasts: Presented by: ... Energy Training. Media Contacts. Jonathan Cogan; Email: Jonathan ...

349

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

U.S. Energy Information Administration (EIA)

Forecast Volatility Expiry Lower Upper Source: Short-Term Energy Outlook, January 2014. Note: Confidence interval derived from options market ...

350

Press Room - U.S. Energy Information Administration (EIA)  

U.S. Energy Information Administration (EIA)

Alternative Fuels. Includes hydropower, solar, wind, geothermal, biomass and ethanol. ... Maps by energy source and topic, includes forecast maps. Countries.

351

Today in Energy - U.S. Energy Information Administration (EIA)  

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

Today in Energy Today in Energy Glossary › FAQS › Home Browse by Tag Most Popular Tags electricity oil/petroleum natural gas liquid fuels prices states production crude oil consumption international coal generation renewable demand weather gasoline capacity nuclear exports forecast View All Tags › View Tag Cloud › Prices Archive About Dec 20, 2013 U.S. electricity sales have decreased in four of the past five years graph of U.S. electricity end use, as explained in the article text Source: U.S. Energy Information Administration, Monthly Energy Review Note: Electricity end use includes both retail electricity sales and the onsite use of power at utility-scale generators. Total U.S. electricity sales have declined in four of the past five years, and are on track to continue to decline in 2013. The only year-over-year

352

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

353

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

354

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 & ...

355

Leonardo Energy | Open Energy Information  

Open Energy Info (EERE)

Area: Energy Efficiency, Renewable Energy, Transportation Resource Type: Webinar, Training materials Website: www.leonardo-energy.org References: Leonardo Energy 1 "Leonardo...

356

Press Room - Presentations - U.S. Energy Information ...  

U.S. Energy Information Administration (EIA)

State Energy Working Group Washington, DCDecember 22, 2009 Annual Energy Outlook 2010 Reference Case pdf ppt. Subject: Forecasts, Energy Markets: Presented ...

357

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

U.S. Energy Information Administration (EIA)

Short-Term Energy Outlook Annual Energy Outlook ... based on historical estimates and forecasts from the latest EIA Short-Term Energy Outlook.

358

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 ...

359

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: ...

360

Energy Information Administration (WFP) | Department of Energy  

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

Information Administration (WFP) Energy Information Administration (WFP) The purpose of the workforce Plan is to provide focus and direction to Human Resources (HR) strategy. This...

Note: This page contains sample records for the topic "forecasting energy information" 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

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

362

Energy Information Handbook: Applications for Energy-Efficient Building Operations  

E-Print Network (OSTI)

Energy Information Handbook Applications for Energy-ENERGY INFORMATION HANDBOOK Applications for Energy-performance tracking handbook: Continuous improvement for

Granderson, Jessica

2013-01-01T23:59:59.000Z

363

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

364

REEGLE - Clean Energy Information Gateway | Open Energy Information  

Open Energy Info (EERE)

REEGLE - Clean Energy Information Gateway REEGLE - Clean Energy Information Gateway (Redirected from Reegle Search Engine for Renewable Energy and Energy Efficiency) Jump to: navigation, search Tool Summary LAUNCH TOOL Name: reegle.info - clean energy information portal Agency/Company /Organization: Renewable Energy and Energy Efficiency Partnership (REEEP) Sector: Climate, Energy Focus Area: Renewable Energy, Biomass, Energy Efficiency, People and Policy, Solar, Wind Phase: Evaluate Options, Prepare a Plan, Develop Finance and Implement Projects Topics: Background analysis, Implementation, Low emission development planning, -LEDS, Policies/deployment programs Resource Type: Dataset, Maps, Publications Website: www.reegle.info/ Web Application Link: www.reegle.info/ RelatedTo: REEEP Toolkits

365

TESS | Open Energy Information  

Open Energy Info (EERE)

TESS TESS Jump to: navigation, search Name TESS Place Madison, WI Website http://www.tess-inc.com/ References TESS[1] Information About Partnership with NREL Partnership with NREL Yes Partnership Type Test & Evaluation Partner Partnering Center within NREL Electricity Resources & Building Systems Integration LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! TESS is a company located in Madison, WI. References ↑ "TESS" Retrieved from "http://en.openei.org/w/index.php?title=TESS&oldid=381746" Categories: Clean Energy Organizations Companies Organizations What links here Related changes Special pages Printable version Permanent link Browse properties About us Disclaimers Energy blogs Linked Data Developer services

366

U.S. Energy Information Administration | Natural Gas Annual  

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

U.S. Energy Information Administration | Natural Gas Annual U.S. Energy Information Administration | Natural Gas Annual Office of Oil, Gas, and Coal Supply Statistics www.eia.gov Natural Gas Annual 2012 U.S. Department of Energy Washington, DC 20585 2012 U.S. Energy Information Administration | Natural Gas Monthly ii This report was prepared by the U.S. Energy Information Administration (EIA), the statistical and analytical agency within the U.S. Department of Energy. By law, EIA's data, analyses, and forecasts are independent of approval by any other officer or employee of the United States Government. The views in this report therefore should not be construed as representing those of the Department of Energy or

367

Energy Information Administration - Transportation Energy Consumption...  

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

energy used by vehicles EIA conducts numerous energy-related surveys and other information programs. In general, the surveys can be divided into two broad groups: supply...

368

Energy Information Administration / Annual Energy Outlook  

Gasoline and Diesel Fuel Update (EIA)

Evaluation of Reference Case Projections in Past Editions (1982-2009) The Energy Information Administration (EIA) produces projections of energy supply and demand each year in...

369

Renewable Energy Trends 2003 - Energy Information Administration  

U.S. Energy Information Administration (EIA)

DOE/EIA Renewable Energy Trends 2003 With Preliminary Data For 2003 July 2004 Energy Information Administration Office of Coal, Nuclear, Electric and Alternate Fuels

370

Annual Energy Outlook 2013 - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Financial market analysis and financial data for major energy companies. Environment. ... The projections in the U.S. Energy Information Administration's ...

371

Annual Energy Review - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Energy Information Administration - EIA - Official Energy Statistics from the U.S. Government ... solar, wind, geothermal, biomass and ethanol. Nuclear & Uranium.

372

Monthly Energy Review - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Energy Information Administration - EIA - Official Energy Statistics from the U.S. Government ... solar, wind, geothermal, biomass and ethanol. Nuclear & Uranium.

373

Short Term Energy Outlook - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Energy Information Administration/Short-Term Energy OutlookFebruary 2008 2 Global Petroleum OPEC left production targets unchanged at its February 1st ...

374

Short Term Energy Outlook - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Energy Information Administration/Short-Term Energy OutlookMarch 2008 2 Diesel prices are projected to show larger gains in 2008, averaging $3.45 per

375

Short Term Energy Outlook - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Energy Information Administration/Short-Term Energy OutlookJanuary 2009 2 Global Petroleum Overview. The downward trend in oil prices continued in ...

376

Short Term Energy Outlook - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Energy Information Administration/Short-Term Energy OutlookDecember 2008 2 Global Petroleum Overview The increasing likelihood of a prolonged global ...

377

International Energy Outlook 2011 - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Natural gas Unconventional Total United States China Canada Conventional Natural gas (trillion cubic feet) U.S. Energy Information Administration International Energy ...

378

Home Energy Magazine | Open Energy Information  

Open Energy Info (EERE)

Magazine Jump to: navigation, search Name Home Energy Magazine Place Berkeley, CA Website http:www.homeenergymagazine. References Home Energy Magazine1 Information About...

379

International Energy Outlook 2011 - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Natural gas Total Other Russia Natural gas (trillion cubic feet) U.S. Energy Information Administration International Energy Outlook 2011 DOE/EIA-0484(2011)

380

International Energy Outlook 2011 - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Natural gas Total Russia Europe Central Asia Natural gas (trillion cubic feet) U.S. Energy Information Administration International Energy Outlook 2011

Note: This page contains sample records for the topic "forecasting energy information" 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

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

382

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

383

AL PRO | Open Energy Information  

Open Energy Info (EERE)

AL PRO AL PRO Jump to: navigation, search Name AL-PRO Place Grossheide, Lower Saxony, Germany Zip 26532 Sector Wind energy Product AL-PRO is an inndependent expert office for wind forecasts, wind potential studies, turbulence inquiries, visualizations as well as sound and shade throw forecasts Coordinates 53.592743°, 7.34313° 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":53.592743,"lon":7.34313,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

384

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

385

Browse wiki | Open Energy Information  

Open Energy Info (EERE)

proper execution of contract. This service gives the customer access to 15-minute demand load profile meter information andor real time energy information via the Internet. Load...

386

Information Management | Department of Energy  

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

Information Collection RequestsPRA (PDF) DOE Order 200.2 Information Collection Management Program - To set forth the Department of Energy (DOE) requirements and...

387

Application of partial mutual information variable selection to ANN forecasting of water quality in water distribution systems  

Science Conference Proceedings (OSTI)

Recent trends in the management of water supply have increased the need for modelling techniques that can provide reliable, efficient, and accurate representation of the complex, non-linear dynamics of water quality within water distribution systems. ... Keywords: Artificial neural networks, Chlorine disinfection, Chlorine residual forecasting, Input variable selection, Partial mutual information, Water quality modelling

Robert J. May; Graeme C. Dandy; Holger R. Maier; John B. Nixon

2008-10-01T23:59:59.000Z

388

Energy Information Directory of the Energy Information Administration  

U.S. Energy Information Administration (EIA)

Publications & Reports > Energy Information Directory: Subject Index. K-M. Labor Department; Land drilling contractors; Lighting (#1, #2)

389

Annual Energy Outlook 2013 - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Energy Information Administration - EIA ... , consumption, technology, and market trends and the direction they may take in the future. It also ...

390

Monthly Energy Review - Energy Information Administration  

U.S. Energy Information Administration (EIA)

September 2013 Monthly Energy Review. Note: Information about data precision and revisions. ... Petroleum Stocks, Germany (Million Barrels) Petroleum Stocks, Italy

391

Energy Efficiency | Open Energy Information  

Open Energy Info (EERE)

Efficiency Jump to: navigation, search Energy Efficiency refers to products or systems using less energy to do the same or better job than conventional products or systems. Energy...

392

Todd Energy | Open Energy Information  

Open Energy Info (EERE)

New Zealand Sector Renewable Energy Product New Zealand energy company with operations in exploration, production and generation. It is also active in developing renewable energy...

393

Tigo Energy | Open Energy Information  

Open Energy Info (EERE)

Tigo Energy Jump to: navigation, search Name Tigo Energy Place Los Gatos, California Zip 95032 Sector Solar Product Tigo Energy builds hardware and software intelligence into solar...

394

Clairvoyant Energy | Open Energy Information  

Open Energy Info (EERE)

Energy Jump to: navigation, search Name Clairvoyant Energy Place Santa Barbara, California Sector Services, Solar Product Clairvoyant Energy builds, owns and operates...

395

Dezentrale Energie | Open Energy Information  

Open Energy Info (EERE)

Dezentrale Energie Place Neustadt a. Rbge., Germany Zip D-31535 Sector Wind energy Product Wind power developer. References Dezentrale Energie1 LinkedIn Connections CrunchBase...

396

Sterling Energy | Open Energy Information  

Open Energy Info (EERE)

California . References "Sterling Energy" Retrieved from "http:en.openei.orgwindex.php?titleSterlingEnergy&oldid351704" Categories: Clean Energy Organizations...

397

Solarium Energy | Open Energy Information  

Open Energy Info (EERE)

Solarium Energy is a company located in San Diego, California . References "Solarium Energy" Retrieved from "http:en.openei.orgwindex.php?titleSolariumEnergy&oldid35139...

398

Balance Energy | Open Energy Information  

Open Energy Info (EERE)

Balance Energy is a company located in San Diego, California . References "Balance Energy" Retrieved from "http:en.openei.orgwindex.php?titleBalanceEnergy&oldid342509...

399

Aleltho Energy | Open Energy Information  

Open Energy Info (EERE)

it. Aleltho Energy is a company located in United Kingdom . References "Aleltho Energy" Retrieved from "http:en.openei.orgwindex.php?titleAlelthoEnergy&oldid341988...

400

Vortex Energy | Open Energy Information  

Open Energy Info (EERE)

by expanding it. Vortex Energy is a company located in Germany . References "Vortex Energy" Retrieved from "http:en.openei.orgwindex.php?titleVortexEnergy&oldid352892...

Note: This page contains sample records for the topic "forecasting energy information" 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

Bryte Energy | Open Energy Information  

Open Energy Info (EERE)

search Name Bryte Energy Place Leicestershire, United Kingdom Zip LE3 0QP Sector Hydro, Hydrogen, Renewable Energy, Services Product Bryte Energy Ltd provides consultancy...

402

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

403

Energy, Entropy, Information, and Intelligence  

E-Print Network (OSTI)

The paper presents a lightweight discussion of relations between energy, entropy, information, and intelligence, based on an analysis of the energy needed for computation.

Cerny, Vladimir

2012-01-01T23:59:59.000Z

404

Browse wiki | Open Energy Information  

Open Energy Info (EERE)

and Cleaner Production (RECP) in Developing and Transition Countries + , Legal Energy Information System (SIEL) Database + , Mini Grid Renewable Energy-Economic and...

405

Browse wiki | Open Energy Information  

Open Energy Info (EERE)

for the Transformation and Strengthening of the Solar Water Heating Market + , Legal Energy Information System (SIEL) Database + , OLADE Sustainable Energy Planning Manual + ,...

406

Geothermal energy | Open Energy Information  

Open Energy Info (EERE)

Buildings Clean Energy Economy Coordinated Low Emissions Assistance Network Geothermal Incentives and Policies International Clean Energy Analysis Low Emission Development...

407

Customer Response to Electricity Prices: Information to Support Wholesale Price Forecasting and Market Analysis  

Science Conference Proceedings (OSTI)

Understanding customer response to electricity price changes is critical to profitably managing a retail business, designing efficient wholesale power markets, and forecasting power prices for valuation of long-lived generating assets. This report packages the collective results of dozens of price response studies for use by forward price forecasters and power market analysts in forecasting loads, revenues, and the benefits of time-varying prices more accurately. In specific, the report describes key mea...

2001-11-30T23:59:59.000Z

408

Energy-efficiency labels and standards: A guidebook for appliances, equipment and lighting  

E-Print Network (OSTI)

the national average energy tariff ). It also has a linearand forecasted energy prices and tariffs; information on

McMahon, James E.; Wiel, Stephen

2001-01-01T23:59:59.000Z

409

New dogs and old tricks: do money and interest rates still provide information content for forecast of output and prices  

E-Print Network (OSTI)

Out-of-sample forecasting experiments are used as an alternative to looking at F-statistics when examining whether money, interest rates or the commercial paper/T-bill spread provide information content for subsequent movements in output, real and nominal personal income, the CPI and the PPI. Here a variable provides information if it improves the forecast of the explained variable. Employing this procedure we find that the paper-bill spread but not monetary aggregates provide information content for industrial production or real personal income when using data over the 1980-97 period. In contrast, we find that monetary aggregates provide information content for the CPI and nominal personal income but not the PPI.

David C. Black; Paul R. Corrigan; Michael R. Dowd

2000-01-01T23:59:59.000Z

410

Appendix E - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Energy Information Administration Natural Gas 1996: Issues and Trends 149 Appendix E Analysis of Capacity Release Trading: Results and Methodology

411

Energy Information Administration - Commercial Energy Consumption...  

Annual Energy Outlook 2012 (EIA)

sum to totals. Source: Energy Information Administration, Office of Energy Markets and End Use, Forms EIA-871A, C, and E of the 2003 Commercial Buildings Energy Consumption Survey....

412

Residential Energy Consumption Survey (RECS) - Energy Information...  

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

Heating and cooling no longer majority of U.S. home energy use Pie chart of energy consumption in homes by end uses Source: U.S. Energy Information Administration, Residential...

413

EPB | Open Energy Information  

Open Energy Info (EERE)

EPB EPB Jump to: navigation, search Logo: EBP Name EBP Address 10 West M.L. King Blvd. Place Chattanooga, TN Zip 37422 Service Territory Georgia, Tennessee Website www.epb.net Green Button Reference Page www.epb.net/news/news-arc Green Button Committed Yes Utility Id 3408 Utility Location Yes Ownership M NERC Location SERC NERC SERC Yes Activity Distribution Yes References EIA Form EIA-861 Final Data File for 2010 - File1_a[1] Energy Information Administration Form 826[2] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! EPB is a community owned company in Chattanooga that provides utility electric and communication services to the greater Chattanooga area. Rate Information City_of_Chattanooga,_Tennessee_(Utility_Company) City_of_Chattanooga,_Georgia_(Utility_Company)

414

Wind Energy Information Guide 2004  

DOE Green Energy (OSTI)

The guide provides a list of contact information and Web site addresses for resources that provide a range of general and technical information about wind energy, including general information, wind and renewable energy, university programs and research institutes, international wind energy associations and others.

anon.

2004-01-01T23:59:59.000Z

415

Eurostat | Open Energy Information  

Open Energy Info (EERE)

Eurostat Eurostat Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Eurostat Agency/Company /Organization: European Commission Sector: Energy, Land, Climate Focus Area: Transportation, Forestry, Agriculture, Economic Development Resource Type: Dataset Website: epp.eurostat.ec.europa.eu/portal/page/portal/eurostat/home UN Region: Eastern Europe, Northern Europe, Southern Europe, Western Europe Eurostat Screenshot References: Eurostat[1] Eurostat is the statistical office of the European Union situated in Luxembourg. Its task is to provide the European Union with statistics at European level that enable comparisons between countries and regions "Eurostat's mission is to provide the European Union with a high-quality statistical information service.

416

Transformations | Open Energy Information  

Open Energy Info (EERE)

Transformations Transformations Jump to: navigation, search Name Transformations Place Townsend, MA Website http://transformations-inc.com References Transformations[1] Information About Partnership with NREL Partnership with NREL Yes Partnership Type Test & Evaluation Partner Partnering Center within NREL Electricity Resources & Building Systems Integration LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! Transformations is a company located in Townsend, MA. References ↑ "Transformations" Retrieved from "http://en.openei.org/w/index.php?title=Transformations&oldid=381743" Categories: Clean Energy Organizations Companies Organizations What links here Related changes Special pages Printable version Permanent link Browse properties

417

Lodging | Open Energy Information  

Open Energy Info (EERE)

Lodging Lodging Jump to: navigation, search Building Type Lodging Definition Buildings used to offer multiple accommodations for short-term or long-term residents, including skilled nursing and other residential care buildings. Sub Categories motel or inn; hotel; dormitory, fraternity, or sorority; retirement home; nursing home, assisted living, or other residential care; convent or monastery; shelter, orphanage, or children's home; halfway house References EIA CBECS Building Types [1] References ↑ EIA CBECS Building Types U.S. Energy Information Administration (Oct 2008) Retrieved from "http://en.openei.org/w/index.php?title=Lodging&oldid=270114" Category: CBECS Building Types What links here Related changes Special pages Printable version Permanent link

418

Education | Open Energy Information  

Open Energy Info (EERE)

Education Education Jump to: navigation, search Building Type Education Definition Buildings used for academic or technical classroom instruction, such as elementary, middle, or high schools, and classroom buildings on college or university campuses. Buildings on education campuses for which the main use is not classroom are included in the category relating to their use. For example, administration buildings are part of "Office," dormitories are "Lodging," and libraries are "Public Assembly." Sub Categories elementary or middle school, high school, college or university, preschool or daycare, adult education, career or vocational training, religious education References EIA CBECS Building Types [1] References ↑ EIA CBECS Building Types U.S. Energy Information Administration

419

Coolerado | Open Energy Information  

Open Energy Info (EERE)

Coolerado Coolerado Jump to: navigation, search Name Coolerado Place Denver, CO Website http://www.coolerado.com References Coolerado[1] Information About Partnership with NREL Partnership with NREL Yes Partnership Type Other Relationship Partnering Center within NREL Electricity Resources & Building Systems Integration Partnership Year 2009 LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! Coolerado is a company located in Denver, CO. References ↑ "Coolerado" Retrieved from "http://en.openei.org/w/index.php?title=Coolerado&oldid=381686" Categories: Clean Energy Organizations Companies Organizations What links here Related changes Special pages Printable version Permanent link Browse properties 429 Throttled (bot load)

420

NARI | Open Energy Information  

Open Energy Info (EERE)

NARI NARI Jump to: navigation, search Name NARI Place Des Plaines, IL Website http://www.nari.com References NARI[1] Information About Partnership with NREL Partnership with NREL Yes Partnership Type Test & Evaluation Partner Partnering Center within NREL Electricity Resources & Building Systems Integration LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! NARI is a company located in Des Plaines, IL. References ↑ "NARI" Retrieved from "http://en.openei.org/w/index.php?title=NARI&oldid=379339" Categories: Clean Energy Organizations Companies Organizations What links here Related changes Special pages Printable version Permanent link Browse properties About us Disclaimers Energy blogs Linked Data Developer services

Note: This page contains sample records for the topic "forecasting energy information" 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

Nxegen | Open Energy Information  

Open Energy Info (EERE)

Nxegen Nxegen Jump to: navigation, search Name Nxegen Place Middletown, Connecticut Zip 6457 Sector Services Product Intelligent energy management company. Provides real-time energy information and load management services to municipal, commercial, and industrial customers utilizing its wireless network solutions. Coordinates 39.033545°, -78.272579° 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":39.033545,"lon":-78.272579,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

422

ESKOM | Open Energy Information  

Open Energy Info (EERE)

ESKOM ESKOM Jump to: navigation, search Name ESKOM Place South Africa Website http://www.eskom.com References ESKOM[1] Information About Partnership with NREL Partnership with NREL Yes Partnership Type CRADA Partnering Center within NREL Renewable Electricity & End Use Systems Partnership Year 2003 LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! ESKOM is an electric utility company located in South Africa. References ↑ "ESKOM" Retrieved from "http://en.openei.org/w/index.php?title=ESKOM&oldid=383484" Categories: Clean Energy Organizations Companies Organizations What links here Related changes Special pages Printable version Permanent link Browse properties About us Disclaimers Energy blogs Linked Data Developer services

423

ENERGY STAR | Open Energy Information  

Open Energy Info (EERE)

ENERGY STAR ENERGY STAR Jump to: navigation, search Logo: ENERGY STAR Name ENERGY STAR Year founded 1992 Notes Partnered with more than 20,000 public sector organizations. Website https://www.energystar.gov/ind References About ENERGY STAR[1] LinkedIn Connections Contents 1 About ENERGY STAR 1.1 For the Home 1.2 For Business 1.3 References About ENERGY STAR ENERGY STAR is a joint program of the U.S. Environmental Protection Agency and the U.S. Department of Energy helping us all save money and protect the environment through energy efficient products and practices. Results are already adding up. Americans, with the help of ENERGY STAR, saved enough energy in 2010 alone to avoid greenhouse gas emissions equivalent to those from 33 million cars - all while saving nearly $18 billion on their

424

Dei Energy | Open Energy Information  

Open Energy Info (EERE)

OpenEI by expanding it. Dei Energy is a company located in Bulgaria . References "Dei Energy" Retrieved from "http:en.openei.orgwindex.php?titleDeiEnergy&oldid344129"...

425

Refex Energy | Open Energy Information  

Open Energy Info (EERE)

Refex Energy Jump to: navigation, search Name Refex Energy Place Tamil Nadu, India Zip 600017 Sector Wind energy Product Part of the refrigeration major Refex Group, plans to set...

426

Wind Energy Data and Information Gateway (WENDI) | Open Energy Information  

Open Energy Info (EERE)

Wind Energy Data and Information Gateway (WENDI) Wind Energy Data and Information Gateway (WENDI) Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Wind Energy Data and Information Gateway (WENDI) Agency/Company /Organization: United States Department of Energy, Oak Ridge National Laboratory Sector: Energy Focus Area: Wind Topics: Market analysis, Resource assessment, Technology characterizations Resource Type: Dataset, Maps Website: windenergy.ornl.gov/ References: Wind Energy Data and Information Gateway (WENDI)[1] Logo: Wind Energy Data and Information Gateway (WENDI) The WENDI Gateway is an integrated system for the archival, discovery, access, integration, and delivery of wind energy-related data and information. NOTE The WENDI Gateway has been discontinued due to an absence of funding. Oak

427

Photovoltaic Geographical Information System | Open Energy Information  

Open Energy Info (EERE)

Photovoltaic Geographical Information System Photovoltaic Geographical Information System Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Photovoltaic Geographical Information System Focus Area: Renewable Energy Topics: Opportunity Assessment & Screening Website: re.jrc.ec.europa.eu/pvgis/ Equivalent URI: cleanenergysolutions.org/content/photovoltaic-geographical-information Language: English Policies: Deployment Programs DeploymentPrograms: Demonstration & Implementation This tool provides a geographical inventory of solar energy resources and an assessment of the electricity generation from photovoltaic systems in Europe, Africa, and southwest Asia. The tools allows for analysis of the technical, environmental, and socio-economic factors of solar electricity generation. Users may access maps and posters generated using the tool, as

428

Cavallo Energy | Open Energy Information  

Open Energy Info (EERE)

Energy Place Houston, Texas Zip 77027 Sector Services, Solar Product Houston-based energy management, finance procurement and engineering company. The firm offers...

429

ENRO Energie | Open Energy Information  

Open Energy Info (EERE)

ENRO Energie Place Essen, Germany Zip 45128 Sector Geothermal energy Product Germany-based company engaged in the design and construction of geothermal power plants. References...

430

African Energy | Open Energy Information  

Open Energy Info (EERE)

African Energy Place Scottsdale, Arizona Zip 85267 Sector Solar Product African Energy is a wholesale distributor of back-up and solar power equipment, exclusively for Africa....

431

Aerowatt Energies | Open Energy Information  

Open Energy Info (EERE)

Name Aerowatt Energies Place France Sector Solar, Wind energy Product France-based joint venture established to develop wind and solar projects in French territories....

432

Insource Energy | Open Energy Information  

Open Energy Info (EERE)

search Name Insource Energy Place England, United Kingdom Sector Biomass Product The energy and waste management business provides biomass boilers and anaerobic digestion...

433

Cleanstar Energy | Open Energy Information  

Open Energy Info (EERE)

Cleanstar Energy Jump to: navigation, search Name Cleanstar Energy Place India Sector Biofuels Product CleanStar is biofuels research and producer in land that is not appropriate...

434

Altostrata Energy | Open Energy Information  

Open Energy Info (EERE)

Name Altostrata Energy Place England, United Kingdom Product London-based cleantech investment and advisory firm. References Altostrata Energy1 LinkedIn Connections CrunchBase...

435

Land Energy | Open Energy Information  

Open Energy Info (EERE)

Product A renewable-energy company focussed on harnessing biomass. Activities include wood-pellet production, biomass-combined heat and power and forestry and energy-crop...

436

Winch Energy | Open Energy Information  

Open Energy Info (EERE)

Page Edit with form History Facebook icon Twitter icon Winch Energy Jump to: navigation, search Name Winch Energy Place Cavalaire Sur Mer, France Zip 83240 Sector Solar Product...

437

Wave Energy | Open Energy Information  

Open Energy Info (EERE)

TODO: Add description List of Wave Energy Incentives Retrieved from "http:en.openei.orgwindex.php?titleWaveEnergy&oldid267203" Category: Articles with outstanding TODO tasks...

438

Tidal Energy | Open Energy Information  

Open Energy Info (EERE)

Add description List of Tidal Energy Incentives Retrieved from "http:en.openei.orgwindex.php?titleTidalEnergy&oldid267201" Category: Articles with outstanding TODO tasks...

439

BRI Energy | Open Energy Information  

Open Energy Info (EERE)

Energy Place Studio City, California Zip 91604-4207 Sector Biomass Product Developer of a biomass to electricity and ethanol technology References BRI Energy1 LinkedIn...

440

Accounting for Observational Uncertainty in Forecast Verification: An Information-Theoretical View on Forecasts, Observations, and Truth  

Science Conference Proceedings (OSTI)

Recently, an information-theoretical decomposition of KullbackLeibler divergence into uncertainty, reliability, and resolution was introduced. In this article, this decomposition is generalized to the case where the observation is uncertain. ...

Steven V. Weijs; Nick van de Giesen

2011-07-01T23:59:59.000Z

Note: This page contains sample records for the topic "forecasting energy information" 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

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

U.S. Energy Information Administration (EIA)

Maps by energy source and topic, includes forecast maps. ... Release Date: October 8, 2013 ... and projects increases of 1.7% in 2013 and 0.9% in 2014.

442

Tierra Energy | Open Energy Information  

Open Energy Info (EERE)

Tierra Energy Tierra Energy Jump to: navigation, search Name Tierra Energy Place Austin, Texas Zip 78731 Sector Wind energy Product Tierra Energy is an energy company based in Austin, Texas, that is building a portfolio of windpower and natural gas-fired power generation projects. References Tierra Energy[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Tierra Energy is a company located in Austin, Texas . References ↑ "Tierra Energy" Retrieved from "http://en.openei.org/w/index.php?title=Tierra_Energy&oldid=352280" Categories: Clean Energy Organizations Companies Organizations Stubs What links here Related changes Special pages Printable version Permanent link

443

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

444

Press Room - U.S. Energy Information Administration (EIA)  

U.S. Energy Information Administration (EIA)

EIA, Renewable, Forecasts: Presented by: Adam Sieminski, Administrator: Presented to: Subcommittee on Energy and Power Committee on Energy and Commerce U.S. House of ...

445

United Kingdom - Analysis - U.S. Energy Information Administration ...  

U.S. Energy Information Administration (EIA)

Maps by energy source and topic, includes forecast maps. Countries. ... According to PFC Energy, UK gross natural gas production totaled 1.5 Tcf in 2012.

446

Massachusetts - Seds - U.S. Energy Information Administration...  

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

forecasts, analysis of energy topics, financial analysis, Congressional reports. Markets & Finance Financial market analysis and financial data for major energy companies....

447

Oregon - Seds - U.S. Energy Information Administration (EIA)  

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

forecasts, analysis of energy topics, financial analysis, Congressional reports. Markets & Finance Financial market analysis and financial data for major energy companies....

448

Rhode Island - Seds - U.S. Energy Information Administration...  

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

forecasts, analysis of energy topics, financial analysis, Congressional reports. Markets & Finance Financial market analysis and financial data for major energy companies....

449

Maryland - Seds - U.S. Energy Information Administration (EIA...  

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

forecasts, analysis of energy topics, financial analysis, Congressional reports. Markets & Finance Financial market analysis and financial data for major energy companies....

450

New Hampshire - Seds - U.S. Energy Information Administration...  

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

forecasts, analysis of energy topics, financial analysis, Congressional reports. Markets & Finance Financial market analysis and financial data for major energy companies....

451

North Carolina - Seds - U.S. Energy Information Administration...  

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

forecasts, analysis of energy topics, financial analysis, Congressional reports. Markets & Finance Financial market analysis and financial data for major energy companies....

452

Vermont - Seds - U.S. Energy Information Administration (EIA...  

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

forecasts, analysis of energy topics, financial analysis, Congressional reports. Markets & Finance Financial market analysis and financial data for major energy companies....

453

Arkansas - Seds - U.S. Energy Information Administration (EIA...  

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

forecasts, analysis of energy topics, financial analysis, Congressional reports. Markets & Finance Financial market analysis and financial data for major energy companies....

454

Maine - Seds - U.S. Energy Information Administration (EIA)  

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

forecasts, analysis of energy topics, financial analysis, Congressional reports. Markets & Finance Financial market analysis and financial data for major energy companies....

455

Indiana - Seds - U.S. Energy Information Administration (EIA...  

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

forecasts, analysis of energy topics, financial analysis, Congressional reports. Markets & Finance Financial market analysis and financial data for major energy companies....

456

Texas - Seds - U.S. Energy Information Administration (EIA)  

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

forecasts, analysis of energy topics, financial analysis, Congressional reports. Markets & Finance Financial market analysis and financial data for major energy companies....

457

Arizona - Seds - U.S. Energy Information Administration (EIA...  

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

forecasts, analysis of energy topics, financial analysis, Congressional reports. Markets & Finance Financial market analysis and financial data for major energy companies....

458

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, ...

459

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.

460

Transmission | Open Energy Information  

Open Energy Info (EERE)

energy economy and promote all Colorado energy, promoting economic development through energy-market advances that create jobs, encourage a cleaner and balanced energy portfolio,...

Note: This page contains sample records for the topic "forecasting energy information" 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

Energy Insight | Open Energy Information  

Open Energy Info (EERE)

Energy Insight Energy Insight Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Energy Insight Agency/Company /Organization: Tendril Connect Sector: Energy Focus Area: Energy Efficiency Resource Type: Software/modeling tools User Interface: Website Website: greenbuttonconnect.com/home Web Application Link: greenbuttonconnect.com/apps/energyinsight/? OpenEI Keyword(s): Green Button Apps Language: English Energy Insight Screenshot References: Tendril[1] Green Button Connect[2] Logo: Energy Insight An application that analyzes and presents your energy data in easy-to-understand charts. Energy Insight enables you to dynamically sort the chart data using a variety of time periods: hourly, daily, monthly. In addition to the charts, the Energy Insight application can display your

462

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

463

Gander Energy | Open Energy Information  

Open Energy Info (EERE)

Gander Energy Gander Energy Jump to: navigation, search Name Gander Energy Place Ontario, Canada Zip M1R 2T6 Sector Solar Product Ontario based solar power project developer. References Gander Energy[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Gander Energy is a company located in Ontario, Canada . References ↑ "Gander Energy" Retrieved from "http://en.openei.org/w/index.php?title=Gander_Energy&oldid=345654" Categories: Clean Energy Organizations Companies Organizations Stubs What links here Related changes Special pages Printable version Permanent link Browse properties About us Disclaimers Energy blogs Linked Data Developer services OpenEI partners with a broad range of international organizations to grow

464

Definition: Energy | Open Energy Information  

Open Energy Info (EERE)

Energy Energy Broadly defined as the capacity to do work. There are many forms of energy, including: chemical, electrical, gravitational, mechanical, nuclear, radiant, and thermal energy. The official SI unit for energy is the joule (J); energy can also be measured in calories or British thermal units (Btu).[1][2][3] View on Wikipedia Wikipedia Definition In physics, energy is a conserved extensive property of a physical system, which cannot be observed directly but can be calculated from its state. Energy is of central importance in physics. It is impossible to give a comprehensive definition of energy because of the many forms it may take, but the most common definition is that it is the capacity of a system to perform work. The definition of work in physics is the movement of a force

465

Renewable Energy | Open Energy Information  

Open Energy Info (EERE)

Renewable Energy Renewable Energy Jump to: navigation, search This article is a stub. You can help OpenEI by expanding it. Renewable Energy is energy obtained from sources which are practically inexhaustible.[1] Prominent examples include solar energy, wind energy, and geothermal energy. The table below lists some of the conversion technologies that are used to harness the energy from these resources[2] . Renewable Resource Energy Conversion Technology Biomass, solid fuels Combustion (direct-fired, cofiring with coal); Gasification/Pyrolysis Biomass, gas and liquid fuels Fuel Cells Geothermal Dry steam electric; Flash electric; Binary cycle electric; Direct use; Geothermal heat pumps Solar Photovoltaics (PV); Concentrating solar thermal electric (parabolic trough, parabolic trough, power tower); Thermal water heating; Absorption chilling

466

Tuusso Energy | Open Energy Information  

Open Energy Info (EERE)

Tuusso Energy Tuusso Energy Jump to: navigation, search Name Tuusso Energy Place Seattle, Washington Zip 98122 Sector Solar Product Washington-based developer and operator of utility scale solar plants. References Tuusso Energy[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Tuusso Energy is a company located in Seattle, Washington . References ↑ "Tuusso Energy" Retrieved from "http://en.openei.org/w/index.php?title=Tuusso_Energy&oldid=380787" Categories: Clean Energy Organizations Companies Organizations Stubs What links here Related changes Special pages Printable version Permanent link Browse properties About us Disclaimers Energy blogs Linked Data Developer services

467

Minnesota Energy | Open Energy Information  

Open Energy Info (EERE)

Energy Energy Jump to: navigation, search Name Minnesota Energy Place Buffalo Lake, Minnesota Zip 55314 Product 21mmgy (79.5m litres/y) farmer-owned ethanol production cooperative. References Minnesota Energy[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Minnesota Energy is a company located in Buffalo Lake, Minnesota . References ↑ "Minnesota Energy" Retrieved from "http://en.openei.org/w/index.php?title=Minnesota_Energy&oldid=348849" Categories: Clean Energy Organizations Companies Organizations Stubs What links here Related changes Special pages Printable version Permanent link Browse properties About us Disclaimers Energy blogs Linked Data Developer services

468

Energy Enterprises | Open Energy Information  

Open Energy Info (EERE)

Energy Enterprises Energy Enterprises Place Mays Landing, New Jersey Zip 8330 Sector Solar Product Energy Enterprises is a licensed dealer, installer, and servicer of solar energy systems, serving residential and commercial customers primarily in southern New Jersey. References Energy Enterprises[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Energy Enterprises is a company located in Mays Landing, New Jersey . References ↑ "Energy Enterprises" Retrieved from "http://en.openei.org/w/index.php?title=Energy_Enterprises&oldid=344850" Categories: Clean Energy Organizations Companies Organizations Stubs What links here Related changes Special pages Printable version

469

Greenpark Energy | Open Energy Information  

Open Energy Info (EERE)

Greenpark Energy Greenpark Energy Jump to: navigation, search Name Greenpark Energy Place Corbriggs, Chesterfield, England, United Kingdom Zip S41 OJW Sector Biomass Product Uk based, Green Park Energy, project developer of a planned 50MW coal bed methane/biomass power plant. References Greenpark Energy[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Greenpark Energy is a company located in Corbriggs, Chesterfield, England, United Kingdom . References ↑ "[ Greenpark Energy]" Retrieved from "http://en.openei.org/w/index.php?title=Greenpark_Energy&oldid=346104" Categories: Clean Energy Organizations Companies Organizations Stubs What links here Related changes

470

FST Energy | Open Energy Information  

Open Energy Info (EERE)

FST Energy FST Energy Jump to: navigation, search Name FST Energy Place San Francisco, California Zip CA 94102 Sector Hydro, Hydrogen Product Specialist in storing and moving hydrogen in the emerging fuel cell market. References FST Energy[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. FST Energy is a company located in San Francisco, California . References ↑ "FST Energy" Retrieved from "http://en.openei.org/w/index.php?title=FST_Energy&oldid=345518" Categories: Clean Energy Organizations Companies Organizations Stubs What links here Related changes Special pages Printable version Permanent link Browse properties 429 Throttled (bot load) Error 429 Throttled (bot load)

471

Colexon Energy | Open Energy Information  

Open Energy Info (EERE)

Colexon Energy Colexon Energy Place Hamburg, Hamburg, Germany Zip 20354 Sector Solar, Wind energy Product Germany-based PV system integrator and solar and wind project developer. References Colexon Energy[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Colexon Energy is a company located in Hamburg, Hamburg, Germany . References ↑ "Colexon Energy" Retrieved from "http://en.openei.org/w/index.php?title=Colexon_Energy&oldid=343770" Categories: Clean Energy Organizations Companies Organizations Stubs What links here Related changes Special pages Printable version Permanent link Browse properties 429 Throttled (bot load) Error 429 Throttled (bot load) Throttled (bot load)

472

Eshone Energy | Open Energy Information  

Open Energy Info (EERE)

Eshone Energy Eshone Energy Jump to: navigation, search Name Eshone Energy Place Santa Clara, California Zip 95051 Product California-based PV systems installer. References Eshone Energy[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Eshone Energy is a company located in Santa Clara, California . References ↑ "Eshone Energy" Retrieved from "http://en.openei.org/w/index.php?title=Eshone_Energy&oldid=345131" Categories: Clean Energy Organizations Companies Organizations Stubs What links here Related changes Special pages Printable version Permanent link Browse properties 429 Throttled (bot load) Error 429 Throttled (bot load) Throttled (bot load) Guru Meditation:

473

Neuwing Energy | Open Energy Information  

Open Energy Info (EERE)

Neuwing Energy Neuwing Energy Jump to: navigation, search Name Neuwing Energy Place New York City, New York Zip 10128 Sector Carbon Product String representation "Neuwing advises ... sequestration." is too long. References Neuwing Energy[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Neuwing Energy is a company located in New York City, New York . References ↑ "Neuwing Energy" Retrieved from "http://en.openei.org/w/index.php?title=Neuwing_Energy&oldid=349145" Categories: Clean Energy Organizations Companies Organizations Stubs What links here Related changes Special pages Printable version Permanent link Browse properties 429 Throttled (bot load) Error 429 Throttled (bot load)

474

Energy Star | Open Energy Information  

Open Energy Info (EERE)

Star Star Jump to: navigation, search Energystarlogo.jpg Contents 1 What's new 2 About ENERGY STAR 3 For the Home 4 For Business 5 History 6 References What's new On March 15, 2012, the EPA released a press release announcing 2012's ENERGY STAR award winners, and celebrating the 20 year anniversary of the award. Overall, the EPA estimates that American's have saved nearly $230 billion over two decades of the award. About ENERGY STAR ENERGY STAR is a joint program of the United States Environmental Protection Agency and the United States Department of Energy helping us all save money and protect the environment through energy efficient products and practices. Results are already adding up. Americans, with the help of ENERGY STAR, saved enough energy in 2009 alone to avoid greenhouse gas emissions

475

Nuclear energy | Open Energy Information  

Open Energy Info (EERE)

This article is a stub. You can help OpenEI by expanding it. Nuclear energy is energy in the nucleus of an atom.1 References "EIA: Uranium (nuclear) Basics" External links...

476

Sky Energy | Open Energy Information  

Open Energy Info (EERE)

Sky Energy Jump to: navigation, search Name Sky Energy Place Germany Product A German company which is involved with the development of a 10MW STEG plant in the Moura region of...

477

AGL Energy | Open Energy Information  

Open Energy Info (EERE)

2060 Product Division of AGL responsible for the energy assets, as opposed to the infrastructure assets. References AGL Energy1 LinkedIn Connections CrunchBase Profile No...

478

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

479

Energy Storage - More Information | Department of Energy  

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

Energy Storage - More Information Energy Storage - More Information Energy Storage - More Information As energy storage technology may be applied to a number of areas that differ in power and energy requirements, DOE's Energy Storage Program performs research and development on a wide variety of storage technologies. This broad technology base includes batteries (both conventional and advanced), flywheels, electrochemical capacitors, superconducting magnetic energy storage (SMES), power electronics, and control systems. The Energy Storage Program works closely with industry partners, and many of its projects are highly cost-shared. The Program collaborates with utilities and State energy organizations such as the California Energy Commission and New York State Energy Research and Development Authority to field major pioneering storage installations that

480

CDH Energy | Open Energy Information  

Open Energy Info (EERE)

Information About Partnership with NREL Partnership with NREL Yes Partnership Type Test & Evaluation Partner Partnering Center within NREL Electricity Resources & Building...

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


481

Zapotec Energy | Open Energy Information  

Open Energy Info (EERE)

Information About Partnership with NREL Partnership with NREL Yes Partnership Type Test & Evaluation Partner Partnering Center within NREL Electricity Resources & Building...

482

CNT Energy | Open Energy Information  

Open Energy Info (EERE)

1 Information About Partnership with NREL Partnership with NREL Yes Partnership Type Test & Evaluation Partner Partnering Center within NREL Electricity Resources & Building...

483

A U.S. Energy Information Administration | Annual Energy Outlook 2011  

Gasoline and Diesel Fuel Update (EIA)

U.S. Energy Information Administration | Annual Energy Outlook 2011 U.S. Energy Information Administration | Annual Energy Outlook 2011 Annual Energy Outlook 2011 Assumptions to the July 2011 www.eia.gov U.S. Depa rtment of Energy W ashington, DC 20585 This report was prepared by the U.S. Energy Information Administration (EIA), the statistical and analytical agency within the U.S. Department of Energy. By law, EIA's data, analyses, and forecasts are independent of approval by any other officer or employee of the United States Government. The views in this report therefore should not be construed as representing those of the Department of Energy or other Federal agencies. Contents Introduction ......................................................................................................................................................................................................................3

484

Calpine | Open Energy Information  

Open Energy Info (EERE)

Calpine Calpine Jump to: navigation, search Name Calpine Place Houston, TX Website http://www.calpine.com References Calpine[1] Information About Partnership with NREL Partnership with NREL Yes Partnership Type MOU Partnering Center within NREL National Bioenergy Center Partnership Year 2004 LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! Calpine is a company located in Houston, TX. References ↑ "Calpine" Retrieved from "http://en.openei.org/w/index.php?title=Calpine&oldid=379193" Categories: Clean Energy Organizations Companies Organizations What links here Related changes Special pages Printable version Permanent link Browse properties 429 Throttled (bot load) Error 429 Throttled (bot load) Throttled (bot load) Guru Meditation:

485

JEA | Open Energy Information  

Open Energy Info (EERE)

JEA JEA Jump to: navigation, search Name JEA Place Jacksonville, Florida Service Territory Florida Website www.jea.com Green Button Landing Page www.jea.com Green Button Reference Page www.jea.com/Media/News_Re Green Button Implemented Yes Utility Id 9617 Utility Location Yes Ownership M NERC Location FRCC NERC FRCC Yes ISO Other Yes Operates Generating Plant Yes Activity Generation Yes Activity Transmission Yes Activity Distribution Yes Alt Fuel Vehicle Yes Alt Fuel Vehicle2 Yes References EIA Form EIA-861 Final Data File for 2010 - File1_a[1] SGIC[2] Energy Information Administration Form 826[3] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. JEA Smart Grid Project was awarded $13,031,547 Recovery Act Funding with a

486

Conectiv | Open Energy Information  

Open Energy Info (EERE)

Conectiv Conectiv Jump to: navigation, search Name Conectiv Place Delaware Utility Id 5027 References Energy Information Administration.[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Utility Rate Schedules Grid-background.png No rate schedules available. Average Rates No Rates Available The following table contains monthly sales and revenue data for Conectiv (Delaware). Month RES REV (THOUSAND $) RES SALES (MWH) RES CONS COM REV (THOUSAND $) COM SALES (MWH) COM CONS IND_REV (THOUSAND $) IND SALES (MWH) IND CONS OTH REV (THOUSAND $) OTH SALES (MWH) OTH CONS TOT REV (THOUSAND $) TOT SALES (MWH) TOT CONS 2008-12 36,986.559 265,623.632 259,440 17,746.387 132,084.949 28,417 2,139.105 22,096.665 153 56,872.051 419,805.246 288,010

487

Energy Information Administration  

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

Internal PMA Scorecard for Human Capital Management (HCM) - FY 2006, Quarter 4 Internal PMA Scorecard for Human Capital Management (HCM) - FY 2006, Quarter 4 Office: Energy Information Administration Progress Score: Status Score: Requirements for HCM Plan 4th QTR REQUIREMENTS FY 06, Q4 Comments Integrate HCM Plan into decision-making processes - Plan linked to DOE mission, strategy, and goals - designates accountable officials Link performance appraisal plans and awards to DOE mission & goals for SES, managers, and more than 60% of workforce (HQ and Field); discuss difference between various levels of performance, discuss consequences based on performance HCM is linked to EIA's mission, strategy, and goals. Employee performance plans have at least one critical element with corresponding tasks supporting

488

IMPLAN | Open Energy Information  

Open Energy Info (EERE)

IMPLAN IMPLAN Jump to: navigation, search Tool Summary LAUNCH TOOL Name: IMPLAN Agency/Company /Organization: IMPLAN Sector: Energy, Land Phase: Determine Baseline, Evaluate Options, Develop Goals Topics: Co-benefits assessment Resource Type: Dataset, Software/modeling tools User Interface: Desktop Application Website: implan.com/v3/index.php?option=com_content&view=category&layout=blog&i Equivalent URI: cleanenergysolutions.org/content/implan-tool-local-economic-analysis-w Language: English Policies: Deployment Programs DeploymentPrograms: Technical Assistance References: IMPLAN - About Us[1] IMPLAN is used to create complete, extremely detailed social accounting matrices and multiplier models of local economies. The IMPLAN software and data sets provide information about how economies function. They are

489

Office | Open Energy Information  

Open Energy Info (EERE)

Building Type Office Building Type Office Definition Buildings used for general office space, professional office, or administrative offices. Medical offices are included here if they do not use any type of diagnostic medical equipment (if they do, they are categorized as an outpatient health care building). Sub Categories administrative or professional office; government office; mixed-use office; bank or other financial institution; medical office; sales office; contractor's office (e.g. construction, plumbing, HVAC); non-profit or social services; research and development; city hall or city center; religious office; call center References EIA CBECS Building Types [1] References ↑ EIA CBECS Building Types U.S. Energy Information Administration (Oct 2008) Retrieved from "http://en.openei.org/w/index.php?title=Office&oldid=270116

490

Other | Open Energy Information  

Open Energy Info (EERE)

Building Type Other Building Type Other Definition Buildings that are industrial or agricultural with some retail space; buildings having several different commercial activities that, together, comprise 50 percent or more of the floorspace, but whose largest single activity is agricultural, industrial/ manufacturing, or residential; and all other miscellaneous buildings that do not fit into any other category. Sub Categories airplane hangar; crematorium; laboratory; telephone switching; agricultural with some retail space; manufacturing or industrial with some retail space; data center or server farm References EIA CBECS Building Types [1] References ↑ EIA CBECS Building Types U.S. Energy Information Administration (Oct 2008) Retrieved from "http://en.openei.org/w/index.php?title=Other&oldid=270117"

491

ENECO Energie | Open Energy Information  

Open Energy Info (EERE)

ENECO Energie ENECO Energie Jump to: navigation, search Name ENECO Energie Place Rotterdam, Netherlands Zip 3000 CL Sector Biomass, Renewable Energy, Solar, Wind energy Product Dutch-based energy company that transports, produces, trades and sells energy. Eneco has renewable interests predominantly in wind but also biomass and solar power projects. Coordinates 51.922835°, 4.478455° 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":51.922835,"lon":4.478455,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

492

Semplice Energy | Open Energy Information  

Open Energy Info (EERE)

Semplice Energy Semplice Energy Jump to: navigation, search Name Semplice Energy Place Reading, United Kingdom Sector Efficiency, Renewable Energy Product Semplice Energy is an energy efficiency and renewable energy solutions provider. Coordinates 43.45529°, -72.537152° 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":43.45529,"lon":-72.537152,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

493

BQ Energy | Open Energy Information  

Open Energy Info (EERE)

BQ Energy BQ Energy Jump to: navigation, search Name BQ Energy Place Patterson, New York Zip 12563 Sector Wind energy Product BQ Energy is based in Patterson, New York and focuses on the development of clean energy projects, including wind energy, on brownfield sites. Coordinates 40.78141°, -83.5252° 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":40.78141,"lon":-83.5252,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

494

Energy Demand | Open Energy Information  

Open Energy Info (EERE)

Energy Demand Energy Demand Jump to: navigation, search Click to return to AEO2011 page AEO2011 Data Figure 55 From AEO2011 report . Market Trends Growth in energy use is linked to population growth through increases in housing, commercial floorspace, transportation, and goods and services. These changes affect not only the level of energy use, but also the mix of fuels used. Energy consumption per capita declined from 337 million Btu in 2007 to 308 million Btu in 2009, the lowest level since 1967. In the AEO2011 Reference case, energy use per capita increases slightly through 2013, as the economy recovers from the 2008-2009 economic downturn. After 2013, energy use per capita declines by 0.3 percent per year on average, to 293 million Btu in 2035, as higher efficiency standards for vehicles and

495

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

496

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

497

GCube | Open Energy Information  

Open Energy Info (EERE)

Wind energy Product GCube is a leading insurance underwriting agency in the renewable energy market. The business has grown from small wind energy developers in California to...

498

Vecarius | Open Energy Information  

Open Energy Info (EERE)

that seeks to leverage advanced materials, power electronics, energy harvesting, and energy storage technologies to capture lost heat energy in internal combustion engine and...

499

OpenEI/Tool/Keyword Green Button Apps | Open Energy Information  

Open Energy Info (EERE)

+ Energy Forecaster + Energy Insight + Energy Monitoring Made Simple (EMMS) + Energy Usage Analytics + EnergyAi + EnergyDataOnline.com + EnergyRewards + Exploring...

500

Energy Information Directory of the Energy Information Administration  

U.S. Energy Information Administration (EIA)

Washington, DC 20036 (202) 872-5955 Fax: (202) 872-9354 URL: http://www.aham.org/ Supplies information on the energy efficiency of major appliances.