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


1

SLCA/IP Hydro Generation Estimates Month Forecast Generation  

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

5/2013 9:06 5/2013 9:06 SLCA/IP Hydro Generation Estimates Month Forecast Generation less losses (kWh) Less Proj. Use (kWh) Net Generation (kWh) SHP Deliveries (kWh) Firming Purchases (kWh) Generation above SHP Level (kWH) 2013-Oct 232,469,911 13,095,926 219,373,985 398,608,181 192,676,761 - 2013-Nov 211,770,451 2,989,074 208,781,376 408,041,232 214,204,345 - 2013-Dec 252,579,425 3,106,608 249,472,817 455,561,848 221,545,708 - 2014-Jan 337,006,077 3,105,116 333,900,962 463,462,717 139,278,887 -

2

Univariate time-series forecasting of monthly peak demand of electricity in northern India  

Science Journals Connector (OSTI)

This study forecasts the monthly peak demand of electricity in the northern region of India using univariate time-series techniques namely Multiplicative Seasonal Autoregressive Integrated Moving Average (MSARIMA) and Holt-Winters Multiplicative Exponential Smoothing (ES) for seasonally unadjusted monthly data spanning from April 2000 to February 2007. In-sample forecasting reveals that the MSARIMA model outperforms the ES model in terms of lower root mean square error, mean absolute error and mean absolute percent error criteria. It has been found that ARIMA (2, 0, 0) (0, 1, 1)12 is the best fitted model to explain the monthly peak demand of electricity, which has been used to forecast the monthly peak demand of electricity in northern India, 15 months ahead from February 2007. This will help Northern Regional Load Dispatch Centre to make necessary arrangements a priori to meet the future peak demand.

Sajal Ghosh

2008-01-01T23:59:59.000Z

3

Forecasting the monthly volume of orders for southern pine lumber - an econometric model  

E-Print Network (OSTI)

to measure various aspects of the California redwood lumber industry. The first sought to explain the economic struc- ture of the short-run market for redwood lumber by preparing short-range forecasts of price, new orders, shipments, produc- tion, stocks... regression coefficients (20) . The second study was directed at developing a short-run forecast of new orders for redwood lumber (21) . Several forecasting techniques were developed, but econometrics, i. e. , multiple regression analysis, provided...

Jackson, Ben Douglas

2012-06-07T23:59:59.000Z

4

Evolving an Information Diffusion Model Using a Genetic Algorithm for Monthly River Discharge Time Series Interpolation and Forecasting  

Science Journals Connector (OSTI)

The identification of the rainfall–runoff relationship is a significant precondition for surface–atmosphere process research and operational flood forecasting, especially in inadequately monitored basins. Based on an information diffusion model (...

Chengzu Bai; Mei Hong; Dong Wang; Ren Zhang; Longxia Qian

2014-12-01T23:59:59.000Z

5

An adaptive load dispatching and forecasting strategy for a virtual power plant including renewable energy conversion units  

Science Journals Connector (OSTI)

Abstract The increasing awareness on the risky state of conventional energy sources in terms of future energy supply security and health of environment has promoted the research activities on alternative energy systems. However, due to the fact that the power production of main alternative sources such as wind and solar is directly related with meteorological conditions, these sources should be combined with dispatchable energy sources in a hybrid combination in order to ensure security of demand supply. In this study, the evaluation of such a hybrid system consisting of wind, solar, hydrogen and thermal power systems in the concept of virtual power plant strategy is realized. An economic operation-based load dispatching strategy that can interactively adapt to the real measured wind and solar power production values is proposed. The adaptation of the load dispatching algorithm is provided by the update mechanism employed in the meteorological condition forecasting algorithms provided by the combination of Empirical Mode Decomposition, Cascade-Forward Neural Network and Linear Model through a fusion strategy. Thus, the effects of the stochastic nature of solar and wind energy systems are better overcome in order to participate in the electricity market with higher benefits.

A. Tascikaraoglu; O. Erdinc; M. Uzunoglu; A. Karakas

2014-01-01T23:59:59.000Z

6

RACORO Forecasting  

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

Daniel Hartsock CIMMS, University of Oklahoma ARM AAF Wiki page Weather Briefings Observed Weather Cloud forecasting models BUFKIT forecast soundings + guidance...

7

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

SciTech Connect

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

United States. Bonneville Power Administration.

1994-02-01T23:59:59.000Z

8

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.

9

Price volatility forecasting using artificial neural networks in emerging electricity markets  

Science Journals Connector (OSTI)

In the adaptive short-term electricity price forecasting, it may be premature to rely solely on the hourly price forecast. The volatility of electricity price should also be analysed to provide additional insight on price forecasting. This paper proposes a price volatility module to analyse electricity price spikes and study the probability distribution of electricity price. Two methods are used to study the probability distribution of electricity price: the analytical method and the ANN method. Furthermore, ANN method is used to study the impact of line limits, line outages, generator outages, load pattern and bidding strategy on short term price forecasting, in addition to sensitivity analysis to determine the extent to which these factors impact price forecasting. Data used in this study are spot electricity prices from California market in the period which includes the crisis months where extreme volatility was observed.

Ahmad F. Al-Ajlouni; Hatim Y. Yamin; Ali Eyadeh

2012-01-01T23:59:59.000Z

10

Monthly Biodiesel Production Report  

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

Monthly Biodiesel Production Monthly Biodiesel Production Report November 2013 With Data for September 2013 Independent Statistics & Analysis www.eia.gov U.S. Department of Energy Washington, DC 20585 U.S. Energy Information Administration | Monthly Biodiesel Production Report 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

11

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

12

Forecast Prices  

Gasoline and Diesel Fuel Update (EIA)

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

13

Monthly Reports  

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

month. Should you have questions about the EM Monthly Reports please contact envmgt@nv.doe.gov or call (702) 295-3521. October 2012 November 2012 December 2012 January 2013...

14

Monthly Reports  

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

month. Should you have questions about the EM Monthly Reports please contact envmgt@nv.doe.gov or call (702) 295-3521. October 2013 November 2013 December 2013 January 2014...

15

Monthly Energy Review - December 2009  

Gasoline and Diesel Fuel Update (EIA)

Formats Formats (PDF) files; however, all annual data are shown in the Excel and comma-separated values (CSV) files. Also, only two to three years of monthly data are displayed in the PDF files; however, for many series, monthly data beginning with January 1973 are available in the Excel and CSV files. Comprehensive Changes: Each month, most MER tables and figures carry a new month of data, which is usually preliminary (and sometimes estimated or even forecast) and likely to be revised in the succeeding month. Annual Data From 1949: The emphasis of the MER is on recent monthly and annual data trends. Analysts may wish to use the data in this report in conjunction with EIA's Annual Energy Review (AER) that offers annual data beginning in 1949 for many of the data series found in the

16

Monthly Energy Review - December 2012  

Gasoline and Diesel Fuel Update (EIA)

EIA's Office of Communications via email EIA's Office of Communications via email at infoctr@eia.gov. Important Notes About the Data Data Displayed: For tables beginning in 1973, some annual data (usually 1974, 1976-1979, 1981-1984, 1986-1989, and 1991-1994) are not shown in the tables in Portable Document Format (PDF) files; however, all annual data are shown in the Excel and comma-separated values (CSV) files. Also, only two to three years of monthly data are displayed in the PDF files; however, for many series, monthly data beginning with January 1973 are available in the Excel and CSV files. Comprehensive Changes: Each month, most MER tables and figures carry a new month of data, which is usually preliminary (and sometimes estimated or even forecast) and likely to be revised in the succeeding month.

17

Aggregate vehicle travel forecasting model  

SciTech Connect

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

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

1995-05-01T23:59:59.000Z

18

Combination of Long Term and Short Term Forecasts, with Application to Tourism  

E-Print Network (OSTI)

Combination of Long Term and Short Term Forecasts, with Application to Tourism Demand Forecasting that are combined. As a case study, we consider the problem of forecasting monthly tourism numbers for inbound tourism to Egypt. Specifically, we con- sider 33 source countries, as well as the aggregate. The novel

Abu-Mostafa, Yaser S.

19

Products and Service of Center for Weather Forecast and Climate Studies  

E-Print Network (OSTI)

) Seasonal Climate Forecast (1-6 months) #12;Weather Forecast Weather Bulletin PCD SCD1 SCD2 SX6 SatelliteLOG O Products and Service of Center for Weather Forecast and Climate Studies Simone Sievert da AND DEVELOP. DIVISION SATELLITE DIVISION ENVIROM. SYSTEM OPERATIONAL DIVISION CPTEC/INPE Msc / PHD &TRAINING

20

Petroleum Supply Monthly Archives  

Gasoline and Diesel Fuel Update (EIA)

Petroleum Supply Monthly Petroleum Supply Monthly Petroleum Supply Monthly Archives With Data for December 2011 | Release Date: February 29, 2012 Changes to Table 26. "Production of Crude Oil by PAD District and State": Current State-level data are now included in Table 26, in addition to current U.S. and PAD District sums. State offshore production for Louisiana, Texas, Alaska, and California, which are included in the State totals, are no longer reported separately in a "State Offshore Production" category. Previously, State-level values lagged 2 months behind the U.S. and PAD District values. Beginning with this publication, they will be on the same cycle. Also included in this publication are two additional pages for Table 26 that provide October and November data. With the release of

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


21

Forecastability as a Design Criterion in Wind Resource Assessment: Preprint  

SciTech Connect

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

Zhang, J.; Hodge, B. M.

2014-04-01T23:59:59.000Z

22

Forecasting wireless communication technologies  

Science Journals Connector (OSTI)

The purpose of the paper is to present a formal comparison of a variety of multiple regression models in technology forecasting for wireless communication. We compare results obtained from multiple regression models to determine whether they provide a superior fitting and forecasting performance. Both techniques predict the year of wireless communication technology introduction from the first (1G) to fourth (4G) generations. This paper intends to identify the key parameters impacting the growth of wireless communications. The comparison of technology forecasting approaches benefits future researchers and practitioners when developing a prediction of future wireless communication technologies. The items of focus will be to understand the relationship between variable selection and model fit. Because the forecasting error was successfully reduced from previous approaches, the quadratic regression methodology is applied to the forecasting of future technology commercialisation. In this study, the data will show that the quadratic regression forecasting technique provides a better fit to the curve.

Sabrina Patino; Jisun Kim; Tugrul U. Daim

2010-01-01T23:59:59.000Z

23

1993 Solid Waste Reference Forecast Summary  

SciTech Connect

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

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

1993-08-01T23:59:59.000Z

24

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.

25

Wind Power Forecasting  

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

Retrospective Reports 2011 Smart Grid Wind Integration Wind Integration Initiatives Wind Power Forecasting Wind Projects Email List Self Supplied Balancing Reserves Dynamic...

26

Solar forecasting review  

E-Print Network (OSTI)

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

Inman, Richard Headen

2012-01-01T23:59:59.000Z

27

Wind Power Forecasting  

Science Journals Connector (OSTI)

The National Center for Atmospheric Research (NCAR) has configured a Wind Power Forecasting System for Xcel Energy that integrates high resolution and ensemble...

Sue Ellen Haupt; William P. Mahoney; Keith Parks

2014-01-01T23:59:59.000Z

28

Energy Demand Forecasting  

Science Journals Connector (OSTI)

This chapter presents alternative approaches used in forecasting energy demand and discusses their pros and cons. It... Chaps. 3 and 4 ...

S. C. Bhattacharyya

2011-01-01T23:59:59.000Z

29

Combining Multi Wavelet and Multi NN for Power Systems Load Forecasting  

Science Journals Connector (OSTI)

In the paper, two pre-processing methods for load forecast sampling data including multiwavelet transformation and chaotic time series ... introduced. In addition, multi neural network for load forecast including...

Zhigang Liu; Qi Wang; Yajun Zhang

2008-01-01T23:59:59.000Z

30

BLACK HISTORY MONTH  

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

Black History Month is an annual celebration of achievements by black Americans and a time for recognizing the central role of African Americans in U.S. history. The event grew out of “Negro History Week,” created by historian Carter G. Woodson and other prominent African Americans. Other countries around the world, including Canada and the United Kingdom, also devote a month to celebrating black history.

31

Monthly Energy Review  

SciTech Connect

This publication presents an overview of the Energy information Administration`s recent monthly energy statistics. The statistics cover the major activities of US production, consumption, trade, stocks, and prices for petroleum, natural gas, coal, electricity, and nuclear energy. Also included are international energy and thermal and metric conversion factors. Two brief ``energy plugs`` (reviews of EIA publications) are included, as well.

NONE

1996-05-28T23:59:59.000Z

32

Improving Inventory Control Using Forecasting  

E-Print Network (OSTI)

This project studied and analyzed Electronic Controls, Inc.’s forecasting process for three high-demand products. In addition, alternative forecasting methods were developed to compare to the current forecast method. The ...

Balandran, Juan

2005-12-16T23:59:59.000Z

33

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

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

diesel fuel price forecast to be 1 penny lower this summer diesel fuel price forecast to be 1 penny lower this summer at $3.94 a gallon The retail price of diesel fuel is expected to average $3.94 a gallon during the summer driving season that which runs from April through September. That's close to last summer's pump price of $3.95, according to the latest monthly energy outlook from the U.S. Energy Information Administration. Demand for distillate fuel, which includes diesel fuel, is expected to be up less than 1 percent from last summer. Daily production of distillate fuel at U.S. refineries is forecast to be 70,000 barrels higher this summer. With domestic distillate output exceeding demand, U.S. net exports of distillate fuel are expected to average 830,000 barrels per day this summer. That's down 12 percent from last summer's

34

Technology Forecasting Scenario Development  

E-Print Network (OSTI)

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

35

CAPP 2010 Forecast.indd  

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

Forecast, Markets & Pipelines 1 Crude Oil Forecast, Markets & Pipelines June 2010 2 CANADIAN ASSOCIATION OF PETROLEUM PRODUCERS Disclaimer: This publication was prepared by the...

36

Historical Monthly Energy Review  

Gasoline and Diesel Fuel Update (EIA)

73-92) 73-92) Distribution Category UC-950 Historical Monthly Energy Review 1973-1992 Energy Information Administration Office of Energy Markets and End Use U.S. Department of Energy Washington, DC 20585 This report was prepared by the Energy Information Administration, the independent statistical and analytical agency within the Department of Energy. The information contained herein should not be construed as advocating or reflecting any policy position of the Department of Energy or any other organization. Historical Monthly Energy Review The Historical Monthly Energy Review (HMER) presents monthly and annual data from 1973 through 1992 on production, consumption, stocks, imports, exports, and prices of the principal energy commodities in the United States. Also included are data on international

37

Monthly energy review, January 1998  

SciTech Connect

This report presents an overview of recent monthly energy statistics. Major activities covered include production, consumption, trade, stocks, and prices for fossil fuels, electricity, and nuclear energy.

NONE

1998-01-01T23:59:59.000Z

38

Monthly Performance Report  

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

Manpower Reports and Budget Forecasts Walton 101514 10214 NA NA NA NA CD0084 Bonneville Power Administration (BPA) Power and Transmission Service Invoice verification...

39

Western Area Power Administration Starting Forecast Month: Sierra Nevada Region  

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

Jul-2013 Jul-2013 1,480.0 700.0 180.0 110.0 27.9 15.2 182.0 0.0 0.0 0.0 0.0 1,090.1 574.8 70.9 Aug-2013 1,430.0 550.0 195.0 120.0 26.6 14.8 182.0 0.0 0.0 0.0 0.0 1,026.4 415.2 54.4 Sep-2013 1,270.0 320.0 165.0 110.0 23.2 13.2 182.0 0.0 0.0 0.0 0.0 899.8 196.8 30.4 Oct-2013 1,070.0 270.0 125.0 105.0 23.8 13.8 182.0 0.0 0.0 0.0 0.0 739.2 151.2 27.5 Nov-2013 1,105.0 150.0 100.0 85.0 26.4 15.6 182.0 0.0 0.0 0.0 0.0 796.6 49.4 8.6 Dec-2013 1,175.0 130.0 100.0 95.0 26.6 16.0 182.0 0.0 0.0 0.0 0.0 866.4 19.0 3.0 Jan-2014 1,155.0 140.0 100.0 95.0 26.0 16.0 182.0 0.0 0.0 0.0 0.0 847.0 29.0 4.6 Feb-2014 1,180.0 140.0 30.0 15.0 26.7 15.0 182.0 0.0 0.0 0.0 0.0 941.3 110.0 17.4 Mar-2014 1,210.0 190.0 55.0 30.0 24.7 14.7 182.0 0.0 0.0 0.0 0.0 948.3 145.3 20.6 Apr-2014 1,320.0 230.0 50.0 30.0 23.8 13.7 182.0 0.0 0.0 0.0 0.0 1,064.2 186.3 24.3 May-2014 1,425.0 510.0 70.0 50.0 21.9 13.9 182.0 0.0 0.0 0.0 0.0 1,151.1 446.1 52.1 Jun-2014

40

Western Area Power Administration Starting Forecast Month: Sierra Nevada Region  

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

Aug-2013 Aug-2013 1,586.0 523.0 167.0 89.0 26.6 14.8 182.0 0.0 0.0 0.0 0.0 1,210.4 419.2 46.6 Sep-2013 1,499.0 309.0 216.0 92.0 23.2 13.2 182.0 0.0 0.0 0.0 0.0 1,077.8 203.8 26.3 Oct-2013 1,229.0 230.0 268.0 105.0 23.8 13.8 182.0 0.0 0.0 0.0 0.0 755.2 111.2 19.8 Nov-2013 1,384.0 192.0 268.0 96.0 26.4 15.6 182.0 0.0 0.0 0.0 0.0 907.6 80.4 12.3 Dec-2013 1,470.0 165.0 344.0 119.0 26.6 16.0 182.0 0.0 0.0 0.0 0.0 917.4 30.0 4.4 Jan-2014 1,509.0 160.0 351.0 126.0 26.0 16.0 182.0 0.0 0.0 0.0 0.0 950.0 18.0 2.5 Feb-2014 1,353.0 162.0 351.0 119.0 26.7 15.0 182.0 0.0 0.0 0.0 0.0 793.3 28.0 5.2 Mar-2014 1,559.0 191.0 282.0 95.0 24.7 14.7 182.0 0.0 0.0 0.0 0.0 1,070.3 81.3 10.2 Apr-2014 1,558.0 312.0 147.5 52.0 23.8 13.7 182.0 0.0 0.0 0.0 0.0 1,204.7 246.3 28.4 May-2014 1,677.0 455.0 108.5 40.0 21.9 13.9 182.0 0.0 0.0 0.0 0.0 1,364.6 401.1 39.5 Jun-2014 1,740.0 525.0 162.0 78.0 23.9 12.9 182.0 0.0 0.0 0.0 0.0 1,372.1 434.1

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


41

Western Area Power Administration Starting Forecast Month: Sierra Nevada Region  

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

Jun-2013 Jun-2013 1,560.0 640.0 55.0 35.0 23.9 12.9 182.0 0.0 0.0 0.0 0.0 1,299.1 592.1 63.3 Jul-2013 1,465.0 690.0 125.0 70.0 27.9 15.2 182.0 0.0 0.0 0.0 0.0 1,130.1 604.8 71.9 Aug-2013 1,400.0 500.0 170.0 95.0 26.6 14.8 182.0 0.0 0.0 0.0 0.0 1,021.4 390.2 51.4 Sep-2013 1,235.0 310.0 165.0 110.0 23.2 13.2 182.0 0.0 0.0 0.0 0.0 864.8 186.8 30.0 Oct-2013 1,040.0 270.0 125.0 100.0 23.8 13.8 182.0 0.0 0.0 0.0 0.0 709.2 156.2 29.6 Nov-2013 1,145.0 150.0 100.0 85.0 26.4 15.6 182.0 0.0 0.0 0.0 0.0 836.6 49.4 8.2 Dec-2013 1,190.0 120.0 100.0 95.0 26.6 16.0 182.0 0.0 0.0 0.0 0.0 881.4 9.0 1.4 Jan-2014 1,130.0 140.0 100.0 95.0 26.0 16.0 182.0 0.0 0.0 0.0 0.0 822.0 29.0 4.7 Feb-2014 1,145.0 130.0 30.0 15.0 26.7 15.0 182.0 0.0 0.0 0.0 0.0 906.3 100.0 16.4 Mar-2014 1,185.0 190.0 55.0 25.0 24.7 14.7 182.0 0.0 0.0 0.0 0.0 923.3 150.3 21.9 Apr-2014 1,330.0 220.0 45.0 30.0 23.8 13.7 182.0 0.0 0.0 0.0 0.0 1,079.2 176.3 22.7 May-2014

42

Western Area Power Administration Starting Forecast Month: Sierra Nevada Region  

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

Nov-2013 Nov-2013 1,165.0 150.0 85.0 75.0 26.4 15.6 182.0 0.0 0.0 0.0 0.0 871.6 59.4 9.5 Dec-2013 1,345.0 130.0 100.0 115.0 26.6 16.0 182.0 0.0 0.0 1.0 0.0 1,036.4 0.0 0.0 Jan-2014 1,100.0 120.0 100.0 115.0 26.0 16.0 182.0 0.0 0.0 11.0 0.0 792.0 0.0 0.0 Feb-2014 1,120.0 140.0 30.0 15.0 26.7 15.0 182.0 0.0 0.0 0.0 0.0 881.3 110.0 18.6 Mar-2014 1,275.0 190.0 35.0 20.0 24.7 14.7 182.0 0.0 0.0 0.0 0.0 1,033.3 155.3 20.2 Apr-2014 1,560.0 310.0 45.0 25.0 23.8 13.7 182.0 0.0 0.0 0.0 0.0 1,309.2 271.3 28.8 May-2014 1,550.0 410.0 55.0 35.0 21.9 13.9 182.0 0.0 0.0 0.0 0.0 1,291.1 361.1 37.6 Jun-2014 1,585.0 540.0 45.0 30.0 23.9 12.9 182.0 0.0 0.0 0.0 0.0 1,334.1 497.1 51.7 Jul-2014 1,470.0 500.0 115.0 65.0 27.9 15.2 182.0 0.0 0.0 0.0 0.0 1,145.1 419.8 49.3 Aug-2014 1,270.0 420.0 135.0 80.0 26.6 14.8 182.0 0.0 0.0 0.0 0.0 926.4 325.2 47.2 Sep-2014 1,105.0 310.0 140.0 90.0 23.2 13.2 182.0 0.0 0.0 0.0 0.0 759.8 206.8 37.8 Oct-2014

43

Western Area Power Administration Starting Forecast Month: Sierra Nevada Region  

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

Feb-2013 Feb-2013 1,165.0 260.0 105.0 75.0 26.7 15.0 182.0 0.0 0.0 0.0 0.0 851.3 170.0 29.7 Mar-2013 1,280.0 310.0 125.0 110.0 24.7 14.7 182.0 0.0 0.0 0.0 0.0 948.3 185.3 26.3 Apr-2013 1,330.0 380.0 50.0 30.0 23.8 13.7 182.0 0.0 0.0 0.0 0.0 1,074.2 336.3 43.5 May-2013 1,560.0 530.0 75.0 50.0 21.9 13.9 182.0 0.0 0.0 0.0 0.0 1,281.1 466.1 48.9 Jun-2013 1,745.0 640.0 120.0 85.0 23.9 12.9 182.0 0.0 0.0 0.0 0.0 1,419.1 542.1 53.1 Jul-2013 1,780.0 650.0 210.0 145.0 27.9 15.2 182.0 0.0 0.0 0.0 0.0 1,360.1 489.8 48.4 Aug-2013 1,670.0 500.0 190.0 135.0 26.6 14.8 182.0 0.0 0.0 0.0 0.0 1,271.4 350.2 37.0 Sep-2013 1,445.0 380.0 145.0 100.0 23.2 13.2 182.0 0.0 0.0 0.0 0.0 1,094.8 266.8 33.9 Oct-2013 1,225.0 330.0 180.0 140.0 23.8 13.8 182.0 0.0 0.0 0.0 0.0 839.2 176.2 28.2 Nov-2013 1,340.0 200.0 170.0 140.0 26.4 15.6 182.0 0.0 0.0 0.0 0.0 961.6 44.4 6.4 Dec-2013 1,255.0 180.0 130.0 105.0 26.6 16.0 182.0 0.0 0.0 0.0 0.0 916.4

44

Western Area Power Administration Starting Forecast Month: Sierra Nevada Region  

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

Mar-2013 Mar-2013 1,475.0 220.0 30.0 20.0 24.7 14.7 182.0 0.0 0.0 0.0 0.0 1,238.3 185.3 20.1 Apr-2013 1,400.0 380.0 45.0 30.0 23.8 13.7 182.0 0.0 0.0 0.0 0.0 1,149.2 336.3 40.6 May-2013 1,455.0 550.0 65.0 45.0 21.9 13.9 182.0 0.0 0.0 0.0 0.0 1,186.1 491.1 55.7 Jun-2013 1,650.0 610.0 100.0 65.0 23.9 12.9 182.0 0.0 0.0 0.0 0.0 1,344.1 532.1 55.0 Jul-2013 1,590.0 630.0 195.0 135.0 27.9 15.2 182.0 0.0 0.0 0.0 0.0 1,185.1 479.8 54.4 Aug-2013 1,560.0 480.0 175.0 115.0 26.6 14.8 182.0 0.0 0.0 0.0 0.0 1,176.4 350.2 40.0 Sep-2013 1,290.0 360.0 145.0 110.0 23.2 13.2 182.0 0.0 0.0 0.0 0.0 939.8 236.8 35.0 Oct-2013 1,090.0 290.0 170.0 140.0 23.8 13.8 182.0 0.0 0.0 0.0 0.0 714.2 136.2 25.6 Nov-2013 1,115.0 170.0 125.0 105.0 26.4 15.6 182.0 0.0 0.0 0.0 0.0 781.6 49.4 8.8 Dec-2013 1,195.0 150.0 145.0 125.0 26.6 16.0 182.0 0.0 0.0 0.0 0.0 841.4 9.0 1.4 Jan-2014 1,180.0 150.0 100.0 95.0 26.0 16.0 182.0 0.0 0.0 0.0 0.0 872.0 39.0

45

Western Area Power Administration Starting Forecast Month: Sierra Nevada Region  

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

May-2013 May-2013 1,460.0 520.0 95.0 55.0 21.9 13.9 182.0 0.0 0.0 0.0 0.0 1,161.1 451.1 52.2 Jun-2013 1,580.0 620.0 55.0 40.0 23.9 12.9 182.0 0.0 0.0 0.0 0.0 1,319.1 567.1 59.7 Jul-2013 1,510.0 730.0 160.0 105.0 27.9 15.2 182.0 0.0 0.0 0.0 0.0 1,140.1 609.8 71.9 Aug-2013 1,590.0 510.0 150.0 95.0 26.6 14.8 182.0 0.0 0.0 0.0 0.0 1,231.4 400.2 43.7 Sep-2013 1,275.0 350.0 165.0 115.0 23.2 13.2 182.0 0.0 0.0 0.0 0.0 904.8 221.8 34.1 Oct-2013 1,070.0 270.0 125.0 120.0 23.8 13.8 182.0 0.0 0.0 0.0 0.0 739.2 136.2 24.8 Nov-2013 1,090.0 160.0 105.0 100.0 26.4 15.6 182.0 0.0 0.0 0.0 0.0 776.6 44.4 7.9 Dec-2013 1,170.0 140.0 105.0 120.0 26.6 16.0 182.0 0.0 0.0 0.0 0.0 856.4 4.0 0.6 Jan-2014 1,155.0 140.0 100.0 110.0 26.0 16.0 182.0 0.0 0.0 0.0 0.0 847.0 14.0 2.2 Feb-2014 1,210.0 130.0 55.0 25.0 26.7 15.0 182.0 0.0 0.0 0.0 0.0 946.3 90.0 14.1 Mar-2014 1,240.0 190.0 60.0 30.0 24.7 14.7 182.0 0.0 0.0 0.0 0.0 973.3 145.3 20.1 Apr-2014

46

Monthly Energy Review - May 2010  

Gasoline and Diesel Fuel Update (EIA)

June 30, 2010 June 30, 2010 DOE/EIA-0035(2010/06) Monthly Energy Review June 2010 U.S. Energy Information Administration Office of Energy Markets and End Use U.S. Department of Energy Washington, 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. Contacts The Monthly Energy Review is prepared by the U.S. Energy Information Administration, Office of Energy Markets and End Use, Integrated Energy Statistics Division, Domestic Energy Statistics Team, under the direction of Barbara T. Fichman,

47

Monthly Energy Review - February 2010  

Gasoline and Diesel Fuel Update (EIA)

February 26, 2010 February 26, 2010 DOE/EIA-0035(2010/02) Monthly Energy Review February 2010 U.S. Energy Information Administration Office of Energy Markets and End Use U.S. Department of Energy Washington, 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. Contacts The Monthly Energy Review is prepared by the U.S. Energy Information Administration, Office of Energy Markets and End Use, Integrated Energy Statistics Division, Domestic Energy Statistics Team, under the direction of Barbara T. Fichman,

48

Monthly Energy Review - July 2010  

Gasoline and Diesel Fuel Update (EIA)

July 30, 2010 July 30, 2010 DOE/EIA-0035(2010/07) Monthly Energy Review July 2010 U.S. Energy Information Administration Office of Energy Markets and End Use U.S. Department of Energy Washington, 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. Contacts The Monthly Energy Review is prepared by the U.S. Energy Information Administration, Office of Energy Markets and End Use, Integrated Energy Statistics Division, Domestic Energy Statistics Team, under the direction of Barbara T. Fichman,

49

Monthly Energy Review - April 2010  

Gasoline and Diesel Fuel Update (EIA)

April 30, 2010 April 30, 2010 DOE/EIA-0035(2010/04) Monthly Energy Review April 2010 U.S. Energy Information Administration Office of Energy Markets and End Use U.S. Department of Energy Washington, 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. Contacts The Monthly Energy Review is prepared by the U.S. Energy Information Administration, Office of Energy Markets and End Use, Integrated Energy Statistics Division, Domestic Energy Statistics Team, under the direction of Barbara T. Fichman,

50

Monthly Energy Review - May 2010  

Gasoline and Diesel Fuel Update (EIA)

May 27, 2010 May 27, 2010 DOE/EIA-0035(2010/05) Monthly Energy Review May 2010 U.S. Energy Information Administration Office of Energy Markets and End Use U.S. Department of Energy Washington, 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. Contacts The Monthly Energy Review is prepared by the U.S. Energy Information Administration, Office of Energy Markets and End Use, Integrated Energy Statistics Division, Domestic Energy Statistics Team, under the direction of Barbara T. Fichman,

51

Monthly Energy Review - March 2010  

Gasoline and Diesel Fuel Update (EIA)

March 31, 2010 March 31, 2010 DOE/EIA-0035(2010/03) Monthly Energy Review March 2010 U.S. Energy Information Administration Office of Energy Markets and End Use U.S. Department of Energy Washington, 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. Contacts The Monthly Energy Review is prepared by the U.S. Energy Information Administration, Office of Energy Markets and End Use, Integrated Energy Statistics Division, Domestic Energy Statistics Team, under the direction of Barbara T. Fichman,

52

EUROBRISA products documentation This page (http://eurobrisa.cptec.inpe.br/) presents 1-month lead South America precipitation  

E-Print Network (OSTI)

South America precipitation forecasts and verification products for three month seasons. For example surface temperatures as predictor variables for precipitation over South America. For example

53

EUROBRISA products documentation This page (http://eurobrisa.cptec.inpe.br/) presents 1-month lead South America precipitation  

E-Print Network (OSTI)

South America precipitation forecasts and verification products for three month seasons. For example Pacific and Atlantic sea surface temperatures as predictor variables for precipitation over South America

54

Valuing Climate Forecast Information  

Science Journals Connector (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

55

Comparing Forecast Skill  

Science Journals Connector (OSTI)

A basic question in forecasting is whether one prediction system is more skillful than another. Some commonly used statistical significance tests cannot answer this question correctly if the skills are computed on a common period or using a common ...

Timothy DelSole; Michael K. Tippett

2014-12-01T23:59:59.000Z

56

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.

57

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.

58

Monthly energy review: April 1996  

SciTech Connect

This monthly report presents an overview of energy statistics. The statistics cover the major activities of US production, consumption, trade, stocks, and prices for petroleum, natural gas, coal, electricity, and nuclear energy. A section is also included on international energy. The feature paper which is included each month is entitled ``Energy equipment choices: Fuel costs and other determinants.`` 37 figs., 59 tabs.

NONE

1996-04-01T23:59:59.000Z

59

Monthly Energy Review  

Gasoline and Diesel Fuel Update (EIA)

May May 26, 1998 Electronic Access Monthly Energy Review (MER) data are also avail- able through these electronic means: * ASCII text, Lotus (wk1), and Excel (xls) versions of the MER tables are available through EIA's Internet homepage at: http://www.eia.doe.gov/emeu/mer/con- tents.html * A portable document format (pdf) file of the com- plete MER including text, tables, and graphs can be downloaded via the homepage at: http://www.eia.doe.gov/bookshelf/multi.html * MER data series in ASCII comma delimited file format (previously available on diskettes) can be downloaded via EIA's ftp site at ftp://ftp.eia.doe.gov/pub/energy.over- view/monthly.energy/current.mer * For information about the Energy Info Disc, call 1-800-STAT-USA. This CD-ROM con- tains over 200 reports, databases, and models. DOE/EIA-0035(98/05) Distribution Category UC-950 Monthly Energy Review

60

Advertising Installation Rates (rates include printing costs) Ads can be purchased at two-week or monthly intervals. Clients can request to have ads removed before the end of the scheduled display dates; however, clients  

E-Print Network (OSTI)

Advertising Installation Rates (rates include printing costs) Ads can be purchased at two are responsible for designing all advertisements. Approved ads must be 11 inches high and 17 inches wide. Allow Services will print, install and remove all ads. Submission Complete an advertising request form

Bennett, Gisele

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


61

Sandia National Laboratories: solar forecasting  

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

Energy, Modeling & Analysis, News, News & Events, Partnership, Photovoltaic, Renewable Energy, Solar, Systems Analysis The book, Solar Energy Forecasting and Resource...

62

Monthly Energy Review, February 1996  

SciTech Connect

This monthly publication presents an overview of EIA`s recent monthly energy statistics, covering the major activities of U.S. production, consumption, trade, stocks, and prices for petroleum, natural gas, coal, electricity, and nuclear energy. Also included are international energy and thermal and metric conversion factors. Two brief descriptions (`energy plugs`) on two EIA publications are presented at the start.

NONE

1996-02-26T23:59:59.000Z

63

Monthly energy review, November 1996  

SciTech Connect

The Monthly Energy Review (MER) presents an overview of the Energy Information Administration`s recent monthly energy statistics. The statistics cover the major activities of US production, consumption, trade, stocks, and prices for petroleum, natural gas, coal, electricity, and nuclear energy. Also included are international energy and thermal and metric conversion factors. 75 tabs.

NONE

1996-11-01T23:59:59.000Z

64

Consensus Coal Production Forecast for  

E-Print Network (OSTI)

Rate Forecasts 19 5. EIA Forecast: Regional Coal Production 22 6. Wood Mackenzie Forecast: W.V. Steam to data currently published by the Energy Information Administration (EIA), coal production in the state in this report calls for state production to decline by 11.3 percent in 2009 to 140.2 million tons. During

Mohaghegh, Shahab

65

Forecasting Crude Oil Spot Price Using OECD Petroleum Inventory  

Gasoline and Diesel Fuel Update (EIA)

Forecasting Forecasting Crude Oil Spot Price Using OECD Petroleum Inventory Levels MICHAEL YE, ∗ JOHN ZYREN, ∗∗ AND JOANNE SHORE ∗∗ Abstract This paper presents a short-term monthly forecasting model of West Texas Intermedi- ate crude oil spot price using OECD petroleum inventory levels. Theoretically, petroleum inventory levels are a measure of the balance, or imbalance, between petroleum production and demand, and thus provide a good market barometer of crude oil price change. Based on an understanding of petroleum market fundamentals and observed market behavior during the post-Gulf War period, the model was developed with the objectives of being both simple and practical, with required data readily available. As a result, the model is useful to industry and government decision-makers in forecasting price and investigat- ing the impacts of changes on price, should inventories,

66

Natural gas monthly, July 1997  

SciTech Connect

The Natural Gas Monthly (NGM) highlights activities, events, and analyses of interest to public and private sector organizations associated with the natural gas industry. Volume and price data are presented each month for natural gas production, distribution, consumption, and interstate pipeline activities. Producer-related activities and underground storage data are also reported. From time to time, the NGM features articles designed to assist readers in using and interpreting natural gas information. The feature article this month is entitled ``Intricate puzzle of oil and gas reserves growth.`` A special report is included on revisions to monthly natural gas data. 6 figs., 24 tabs.

NONE

1997-07-01T23:59:59.000Z

67

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

68

On Sequential Probability Forecasting  

E-Print Network (OSTI)

at the same time. [Probability, Statistics and Truth, MacMillan 1957. page 11] ... the collective "denotes a collective wherein the attribute of the single event is the number of points thrown. [Probability, StatisticsOn Sequential Probability Forecasting David A. Bessler 1 David A. Bessler Texas A&M University

McCarl, Bruce A.

69

Short-Term World Oil Price Forecast  

Gasoline and Diesel Fuel Update (EIA)

4 4 Notes: This graph shows monthly average spot West Texas Intermediate crude oil prices. Spot WTI crude oil prices peaked last fall as anticipated boosts to world supply from OPEC and other sources did not show up in actual stocks data. So where do we see crude oil prices going from here? Crude oil prices are expected to be about $28-$30 per barrel for the rest of this year, but note the uncertainty bands on this projection. They give an indication of how difficult it is to know what these prices are going to do. Also, EIA does not forecast volatility. This relatively flat forecast could be correct on average, with wide swings around the base line. Let's explore why we think prices will likely remain high, by looking at an important market barometer - inventories - which measures the

70

Monthly Energy Review  

Gasoline and Diesel Fuel Update (EIA)

December December 23, 1997 Electronic Access Monthly Energy Review (MER) data are also available through these electronic means: * ASCII text, Lotus (wk1), and Excel (xls) versions of the MER tables are available through EIA's Internet homepage at: http://www.eia.doe.gov/emeu/mer/contents.html * A portable document format (pdf) file of the complete MER including text, tables, and graphs can be downloaded via the homepage at: http://www.eia.doe.gov/bookshelf/multi.html * MER data series in ASCII comma delimited file format (previously available on diskettes) can be downloaded via EIA's ftp site at ftp://ftp.eia.doe.gov/pub/energy.overview/monthly .energy/current.mer * For information about the Energy Info Disc, call 1-800-STAT-USA. This CD-ROM contains over 200 reports, databases, and models. Timing of Release: MER data are normally released in the afternoon of the third-from-the-last

71

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,

72

Recently released EIA report presents international forecasting data  

SciTech Connect

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

73

Forecast of geothermal drilling activity  

SciTech Connect

The numbers of each type of geothermal well expected to be drilled in the United States for each 5-year period to 2000 AD are specified. Forecasts of the growth of geothermally supplied electric power and direct heat uses are presented. The different types of geothermal wells needed to support the forecasted capacity are quantified, including differentiation of the number of wells to be drilled at each major geothermal resource for electric power production. The rate of growth of electric capacity at geothermal resource areas is expected to be 15 to 25% per year (after an initial critical size is reached) until natural or economic limits are approached. Five resource areas in the United States should grow to significant capacity by the end of the century (The Geysers; Imperial Valley; Valles Caldera, NM; Roosevelt Hot Springs, UT; and northern Nevada). About 3800 geothermal wells are expected to be drilled in support of all electric power projects in the United States between 1981 and 2000 AD. Half of the wells are expected to be drilled in the Imperial Valley. The Geysers area is expected to retain most of the drilling activity for the next 5 years. By the 1990's, the Imperial Valley is expected to contain most of the drilling activity.

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

1981-10-01T23:59:59.000Z

74

Petroleum marketing monthly  

SciTech Connect

The Petroleum Marketing Monthly (PMM) is designed to give information and statistical data about a variety of crude oils and refined petroleum products. The publication provides statistics on crude oil costs and refined petroleum products sales for use by industry, government, private sector analysts, educational institutions, and consumers. Data on crude oil include the domestic first purchase price, the f.o.b. and landed cost of imported crude oil, and the refiners` acquisition cost of crude oil. Sales data for motor gasoline, distillates, residuals, aviation fuels, kerosene, and propane are presented.

Not Available

1992-03-01T23:59:59.000Z

75

Radiation fog forecasting using a 1-dimensional model  

E-Print Network (OSTI)

measuring site (Molly Caren), the soil moisture measuring site (Wilmington), and (b) location of the forecast site (Ohio River Basin near Cincinnati including Lunken airport) . . 23 3 An example of a COBEL configuration file for 25 August 1996, showing... measuring site (Molly Caren), the soil moisture measuring site (Wilmington), and (b) location of the forecast site (Ohio River Basin near Cincinnati including Lunken airport) . . 23 3 An example of a COBEL configuration file for 25 August 1996, showing...

Peyraud, Lionel

2012-06-07T23:59:59.000Z

76

Forecasting Model for Crude Oil Price Using Artificial Neural Networks and Commodity Futures Prices  

E-Print Network (OSTI)

This paper presents a model based on multilayer feedforward neural network to forecast crude oil spot price direction in the short-term, up to three days ahead. A great deal of attention was paid on finding the optimal ANN model structure. In addition, several methods of data pre-processing were tested. Our approach is to create a benchmark based on lagged value of pre-processed spot price, then add pre-processed futures prices for 1, 2, 3,and four months to maturity, one by one and also altogether. The results on the benchmark suggest that a dynamic model of 13 lags is the optimal to forecast spot price direction for the short-term. Further, the forecast accuracy of the direction of the market was 78%, 66%, and 53% for one, two, and three days in future conclusively. For all the experiments, that include futures data as an input, the results show that on the short-term, futures prices do hold new information on the spot price direction. The results obtained will generate comprehensive understanding of the cr...

Kulkarni, Siddhivinayak

2009-01-01T23:59:59.000Z

77

Petroleum Marketing Monthly  

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

Crude oil prices U.S. Energy Information Administration | Petroleum Marketing Monthly 3 December 2014...

78

Solar Wind Forecasting with Coronal Holes  

E-Print Network (OSTI)

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

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

2007-01-09T23:59:59.000Z

79

Price forecasting for notebook computers.  

E-Print Network (OSTI)

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

Rutherford, Derek Paul

2012-01-01T23:59:59.000Z

80

Ensemble Forecasts and their Verification  

E-Print Network (OSTI)

· Ensemble forecast verification ­ Performance metrics: Brier Score, CRPSS · New concepts and developments of weather Sources: Insufficient spatial resolution, truncation errors in the dynamical equations

Maryland at College Park, University of

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


81

Natural gas monthly: December 1993  

SciTech Connect

The Natural Gas Monthly (NGM) highlights activities, events, and analyses of interest to public and private sector organizations associated with the natural gas industry. Volume and price data are presented each month for natural gas production, distribution, consumption, and interstate pipeline activities. Producer-related activities and underground storage data are also reported. Articles are included which are designed to assist readers in using and interpreting natural gas information.

Not Available

1993-12-01T23:59:59.000Z

82

NOAA ARL Monthly Activity Report Bruce B. Hicks, Director  

E-Print Network (OSTI)

· NOAA ARL Monthly Activity Report June 2004 Bruce B. Hicks, Director Air Resources Laboratory Bay 3. HIGHLIGHT ­ Air Quality Forecast System - Start of 2004 Operational Season 4. Reactions Atmosphere 7. SURFRAD/ISIS 8. Errors in Radiation Instrumentation 9. ARL Umkehr Developments Adopted 10

83

Application of a medium-range global hydrologic probabilistic forecast scheme to the Ohio River Basin  

SciTech Connect

A 10-day globally applicable flood prediction scheme was evaluated using the Ohio River basin as a test site for the period 2003-2007. The Variable Infiltration Capacity (VIC) hydrology model was initialized with the European Centre for Medium Range Weather Forecasts (ECMWF) analysis temperatures and wind, and Tropical Rainfall Monitoring Mission Multi Satellite Precipitation Analysis (TMPA) precipitation up to the day of forecast. In forecast mode, the VIC model was then forced with a calibrated and statistically downscaled ECMWF ensemble prediction system (EPS) 10-day ensemble forecast. A parallel set up was used where ECMWF EPS forecasts were interpolated to the spatial scale of the hydrology model. Each set of forecasts was extended by 5 days using monthly mean climatological variables and zero precipitation in order to account for the effect of initial conditions. The 15-day spatially distributed ensemble runoff forecasts were then routed to four locations in the basin, each with different drainage areas. Surrogates for observed daily runoff and flow were provided by the reference run, specifically VIC simulation forced with ECMWF analysis fields and TMPA precipitation fields. The flood prediction scheme using the calibrated and downscaled ECMWF EPS forecasts was shown to be more accurate and reliable than interpolated forecasts for both daily distributed runoff forecasts and daily flow forecasts. Initial and antecedent conditions dominated the flow forecasts for lead times shorter than the time of concentration depending on the flow forecast amounts and the drainage area sizes. The flood prediction scheme had useful skill for the 10 following days at all sites.

Voisin, Nathalie; Pappenberger, Florian; Lettenmaier, D. P.; Buizza, Roberto; Schaake, John

2011-08-15T23:59:59.000Z

84

Electric Power Monthly  

Gasoline and Diesel Fuel Update (EIA)

Electric Power Monthly > Electric Power Monthly Back Issues Electric Power Monthly > Electric Power Monthly Back Issues Electric Power Monthly Back Issues Monthly Excel files zipped 2010 January February March April May June July August September October November December 2009 January February March April May June July August September October November December 2008 January February March March Supplement April May June July August September October November December 2007 January February March April May June July August September October November December 2006 January February March April May June July August September October November December 2005 January February March April May June July August September October November December

85

Probabilistic manpower forecasting  

E-Print Network (OSTI)

- ing E. Results- Probabilistic Forecasting . 26 27 Z8 29 31 35 36 38 39 IV. CONCLUSIONS. V. GLOSSARY 42 44 APPENDICES REFERENCES 50 70 LIST OF TABLES Table Page Outline of Job-Probability Matrix Job-Probability Matrix. Possible... Outcomes of Job A Possible Outcomes of Jobs A and B 10 Possible Outcomes of Jobs A, B and C II LIST GF FIGURES Figure Page Binary Representation of Numbers 0 Through 7 12 First Cumulative Probability Table 14 3. Graph of Cumulative Probability vs...

Koonce, James Fitzhugh

1966-01-01T23:59:59.000Z

86

Diagnosing Forecast Errors in Tropical Cyclone Motion  

Science Journals Connector (OSTI)

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

Thomas J. Galarneau Jr.; Christopher A. Davis

2013-02-01T23:59:59.000Z

87

UNCERTAINTY IN THE GLOBAL FORECAST SYSTEM  

SciTech Connect

We validated one year of Global Forecast System (GFS) predictions of surface meteorological variables (wind speed, air temperature, dewpoint temperature, air pressure) over the entire planet for forecasts extending from zero hours into the future (an analysis) to 36 hours. Approximately 12,000 surface stations world-wide were included in this analysis. Root-Mean-Square- Errors (RMSE) increased as the forecast period increased from zero to 36 hours, but the initial RMSE were almost as large as the 36 hour forecast RMSE for all variables. Typical RMSE were 3 C for air temperature, 2-3mb for sea-level pressure, 3.5 C for dewpoint temperature and 2.5 m/s for wind speed. Approximately 20-40% of the GFS errors can be attributed to a lack of resolution of local features. We attribute the large initial RMSE for the zero hour forecasts to the inability of the GFS to resolve local terrain features that often dominate local weather conditions, e.g., mountain- valley circulations and sea and land breezes. Since the horizontal resolution of the GFS (about 1{sup o} of latitude and longitude) prevents it from simulating these locally-driven circulations, its performance will not improve until model resolution increases by a factor of 10 or more (from about 100 km to less than 10 km). Since this will not happen in the near future, an alternative for the near term to improve surface weather analyses and predictions for specific points in space and time would be implementation of a high-resolution, limited-area mesoscale atmospheric prediction model in regions of interest.

Werth, D.; Garrett, A.

2009-04-15T23:59:59.000Z

88

March Natural Gas Monthly  

Gasoline and Diesel Fuel Update (EIA)

'PGTI[+PHQTOCVKQP#FOKPKUVTCVKQP0CVWTCN)CU/QPVJN[/CTEJ 'PGTI[+PHQTOCVKQP#FOKPKUVTCVKQP0CVWTCN)CU/QPVJN[/CTEJ EIA Corrects Errors in Its Drilling Activity Estimates Series William Trapmann and Phil Shambaugh Introduction The Energy Information Administration (EIA) has published monthly and annual estimates of oil and gas drilling activity since 1978. These data are key information for many industry analysts, serving as a leading indicator of trends in the industry and a barometer of general industry status. They are assessed directly for trends, as well as in combination with other measures to assess the productivity and profitability of upstream industry operations. They are a major reference point for policymakers at both the Federal and State level. Users in the private sector include financial

89

Forecasting hotspots using predictive visual analytics approach  

SciTech Connect

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

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

2014-12-30T23:59:59.000Z

90

Electricity Monthly Update  

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

by almost 10%, or just over 12 million tons, to 136 million tons. This is the largest month-to-month percentage increase since at least January 2009. In absolute terms,...

91

MSC Monthly Performance Report  

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

Department of Energy Contract DE-AC06-09RL14728 MSC Monthly Performance Report AUG 2013 DOERL-2009-113 Rev 47 ii This page intentionally left blank. CONTENTS MSC Monthly...

92

Monthly Performance Report  

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

Department of Energy Contract DE-AC06-09RL14728 MSC Monthly Performance Report OCT 2013 DOERL-2009-113 Rev 49 ii This page intentionally left blank. CONTENTS MSC Monthly...

93

Monthly Performance Report  

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

Department of Energy Contract DE-AC06-09RL14728 MSC Monthly Performance Report DEC 2013 DOERL-2009-113 Rev 51 ii This page intentionally left blank. CONTENTS MSC Monthly...

94

Monthly Performance Report  

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

Department of Energy Contract DE-AC06-09RL14728 MSC Monthly Performance Report APR 2013 DOERL-2009-113 Rev 43 ii This page intentionally left blank. CONTENTS MSC Monthly...

95

Monthly Performance Report  

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

Department of Energy Contract DE-AC06-09RL14728 MSC Monthly Performance Report JUN 2013 DOERL-2009-113 Rev 45 ii This page intentionally left blank. CONTENTS MSC Monthly...

96

Monthly Performance Report  

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

Department of Energy Contract DE-AC06-09RL14728 MSC Monthly Performance Report JUL 2013 DOERL-2009-113 Rev 46 ii This page intentionally left blank. CONTENTS MSC Monthly...

97

Monthly Performance Report  

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

Department of Energy Contract DE-AC06-09RL14728 MSC Monthly Performance Report MAY 2013 DOERL-2009-113 Rev 44 ii This page intentionally left blank. CONTENTS MSC Monthly...

98

Monthly Performance Report  

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

Department of Energy Contract DE-AC06-09RL14728 MSC Monthly Performance Report SEP 2013 DOERL-2009-113 Rev 48 ii This page intentionally left blank. CONTENTS MSC Monthly...

99

Monthly Performance Report  

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

Department of Energy Contract DE-AC06-09RL14728 MSC Monthly Performance Report FEB 2013 DOERL-2009-113 Rev 41 ii This page intentionally left blank. CONTENTS MSC Monthly...

100

Monthly Performance Report  

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

Department of Energy Contract DE-AC06-09RL14728 MSC Monthly Performance Report NOV 2013 DOERL-2009-113 Rev 50 ii This page intentionally left blank. CONTENTS MSC Monthly...

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


101

Monthly Newsblast December 2012  

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

In the December 2012 Monthly Newsblast, read about a new funding opportunity, recyling Christmas trees, upcoming events, and more.

102

Project Profile: Forecasting and Influencing Technological Progress...  

Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

Forecasting and Influencing Technological Progress in Solar Energy Project Profile: Forecasting and Influencing Technological Progress in Solar Energy Logos of the University of...

103

Forecasting with adaptive extended exponential smoothing  

Science Journals Connector (OSTI)

Much of product level forecasting is based upon time series techniques. However, traditional time series forecasting techniques have offered either smoothing constant adaptability or consideration of various t...

John T. Mentzer Ph.D.

104

Electricity price forecasting in a grid environment.  

E-Print Network (OSTI)

??Accurate electricity price forecasting is critical to market participants in wholesale electricity markets. Market participants rely on price forecasts to decide their bidding strategies, allocate… (more)

Li, Guang, 1974-

2007-01-01T23:59:59.000Z

105

Energy Department Forecasts Geothermal Achievements in 2015 ...  

Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

Forecasts Geothermal Achievements in 2015 Energy Department Forecasts Geothermal Achievements in 2015 The 40th annual Stanford Geothermal Workshop in January featured speakers in...

106

Monthly Performance Report  

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

4.72 4.59 4.62 4.63 4.44 First Aid Monthly First Aid 12-Month Average FY 3.65 CY 3.33 EXECUTIVE OVERVIEW EXECUTIVE OVERVIEW MSC Monthly Performance Report APR 2014 DOE...

107

Monthly Energy Review The Monthly Energy Review  

Gasoline and Diesel Fuel Update (EIA)

use use by Members of Congress, Federal and State agencies, energy analysts, and the general public. EIA welcomes suggestions from readers regarding data series in the MER and in other EIA publications. Related Publication: Readers of the MER may also be interested in EIA's Annual Energy Review, where many of the same data series are provided annually beginning with 1949. Contact our National Energy Information Center at 202-586-8800 for more information. Timing of Release: MER data are normally released in the afternoon of the third-from-the-last workday of each month and are usually available electronically late that day. Internet Addresses: E-Mail: infoctr@eia.doe.gov World Wide Web Site: http://www.eia.doe.gov Gopher Site: gopher://gopher.eia.doe.gov FTP Site: ftp://ftp.eia.doe.gov The Monthly Energy Review (ISSN 0095-7356) is published monthly by the Energy Information

108

Monthly Energy Review - June 2000  

Gasoline and Diesel Fuel Update (EIA)

June June 27, 2000 Electronic Access The Monthly Energy Review is available on the Energy Information Administration's website in a variety of formats: * ASCII text, Lotus (wk1), and Excel (XLS) versions of the data tables (http://www.eia.doe.gov/mer) * A portable document format (pdf) file of the entire report including text, tables, and graphs (http://www.eia.doe.gov/bookshelf/multi.html) * ASCII comma delimited files (previously available on diskettes) (ftp://ftp.eia.doe.gov/pub/energy.overview/ monthly.energy/current.mer) For information about the Energy Info Disc, call 1-800-STAT-USA. This CD-ROM contains over 200 reports, databases, and models. Timing of Release: MER data are normally released in the afternoon of the third-to-last workday of each month and are usually available electronically the following day. DOE/EIA-0035(2000/06) Monthly Energy Review

109

Monthly Energy Review - October 1999  

Gasoline and Diesel Fuel Update (EIA)

October October 26, 1999 Electronic Access The Monthly Energy Review is available on the Energy Information Administration's website in a variety of formats: * ASCII text, Lotus (wk1), and Excel (XLS) versions of the data tables (http://www.eia.doe.gov/mer) * A portable document format (pdf) file of the entire report including text, tables, and graphs (http://www.eia.doe.gov/bookshelf/multi.html) * ASCII comma delimited files (previously available on diskettes) (ftp://ftp.eia.doe.gov/pub/energy.overview/ monthly.energy/current.mer) For information about the Energy Info Disc, call 1-800-STAT-USA. This CD-ROM contains over 200 reports, databases, and models. Timing of Release: MER data are normally released in the afternoon of the third-to-last workday of each month and are usually available electronically the following day. DOE/EIA-0035(99/10) Monthly Energy

110

Monthly Energy Review - May 2000  

Gasoline and Diesel Fuel Update (EIA)

May May 26, 2000 Electronic Access The Monthly Energy Review is available on the Energy Information Administration's website in a variety of formats: * ASCII text, Lotus (wk1), and Excel (XLS) versions of the data tables (http://www.eia.doe.gov/mer) * A portable document format (pdf) file of the entire report including text, tables, and graphs (http://www.eia.doe.gov/bookshelf/multi.html) * ASCII comma delimited files (previously available on diskettes) (ftp://ftp.eia.doe.gov/pub/energy.overview/ monthly.energy/current.mer) For information about the Energy Info Disc, call 1-800-STAT-USA. This CD-ROM contains over 200 reports, databases, and models. Timing of Release: MER data are normally released in the afternoon of the third-to-last workday of each month and are usually available electronically the following day. DOE/EIA-0035(2000/05) Monthly Energy Review

111

Monthly Energy Review - December 1999  

Gasoline and Diesel Fuel Update (EIA)

December December 22, 1999 Electronic Access The Monthly Energy Review is available on the Energy Information Administration's website in a variety of formats: * ASCII text, Lotus (wk1), and Excel (XLS) versions of the data tables (http://www.eia.doe.gov/mer) * A portable document format (pdf) file of the entire report including text, tables, and graphs (http://www.eia.doe.gov/bookshelf/multi.html) * ASCII comma delimited files (previously available on diskettes) (ftp://ftp.eia.doe.gov/pub/energy.overview/ monthly.energy/current.mer) For information about the Energy Info Disc, call 1-800-STAT-USA. This CD-ROM contains over 200 reports, databases, and models. Timing of Release: MER data are normally released in the afternoon of the third-to-last workday of each month and are usually available electronically the following day. DOE/EIA-0035(99/12) Monthly Energy

112

Monthly Energy Review - April 200  

Gasoline and Diesel Fuel Update (EIA)

April April 26, 2000 Electronic Access The Monthly Energy Review is available on the Energy Information Administration's website in a variety of formats: * ASCII text, Lotus (wk1), and Excel (XLS) versions of the data tables (http://www.eia.doe.gov/mer) * A portable document format (pdf) file of the entire report including text, tables, and graphs (http://www.eia.doe.gov/bookshelf/multi.html) * ASCII comma delimited files (previously available on diskettes) (ftp://ftp.eia.doe.gov/pub/energy.overview/ monthly.energy/current.mer) For information about the Energy Info Disc, call 1-800-STAT-USA. This CD-ROM contains over 200 reports, databases, and models. Timing of Release: MER data are normally released in the afternoon of the third-to-last workday of each month and are usually available electronically the following day. DOE/EIA-0035(2000/04) Monthly Energy

113

Monthly Energy Review - January 2000  

Gasoline and Diesel Fuel Update (EIA)

January January 28, 2000 Electronic Access The Monthly Energy Review is available on the Energy Information Administration's website in a variety of formats: * ASCII text, Lotus (wk1), and Excel (XLS) versions of the data tables (http://www.eia.doe.gov/mer) * A portable document format (pdf) file of the entire report including text, tables, and graphs (http://www.eia.doe.gov/bookshelf/multi.html) * ASCII comma delimited files (previously available on diskettes) (ftp://ftp.eia.doe.gov/pub/energy.overview/ monthly.energy/current.mer) For information about the Energy Info Disc, call 1-800-STAT-USA. This CD-ROM contains over 200 reports, databases, and models. Timing of Release: MER data are normally released in the afternoon of the third-to-last workday of each month and are usually available electronically the following day. DOE/EIA-0035(00/01) Monthly Energy

114

Monthly Energy Review - February 2000  

Gasoline and Diesel Fuel Update (EIA)

February February 24, 2000 Electronic Access The Monthly Energy Review is available on the Energy Information Administration's website in a variety of formats: * ASCII text, Lotus (wk1), and Excel (XLS) versions of the data tables (http://www.eia.doe.gov/mer) * A portable document format (pdf) file of the entire report including text, tables, and graphs (http://www.eia.doe.gov/bookshelf/multi.html) * ASCII comma delimited files (previously available on diskettes) (ftp://ftp.eia.doe.gov/pub/energy.overview/ monthly.energy/current.mer) For information about the Energy Info Disc, call 1-800-STAT-USA. This CD-ROM contains over 200 reports, databases, and models. Timing of Release: MER data are normally released in the afternoon of the third-to-last workday of each month and are usually available electronically the following day. DOE/EIA-0035(00/02) Monthly Energy

115

Monthly Energy Review - September 1999  

Gasoline and Diesel Fuel Update (EIA)

September September 27, 1999 Electronic Access The Monthly Energy Review is available on the Energy Information Administration's website in a variety of formats: * ASCII text, Lotus (wk1), and Excel (XLS) versions of the data tables (http://www.eia.doe.gov/mer) * A portable document format (pdf) file of the entire report including text, tables, and graphs (http://www.eia.doe.gov/bookshelf/multi.html) * ASCII comma delimited files (previously available on diskettes) (ftp://ftp.eia.doe.gov/pub/energy.overview/ monthly.energy/current.mer) For information about the Energy Info Disc, call 1-800-STAT-USA. This CD-ROM contains over 200 reports, databases, and models. Timing of Release: MER data are normally released in the afternoon of the third-to-last workday of each month and are usually available electronically the following day. DOE/EIA-0035(99/09) Monthly Energy

116

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

117

An assessment of electrical load forecasting using artificial neural network  

Science Journals Connector (OSTI)

The forecasting of electricity demand has become one of the major research fields in electrical engineering. The supply industry requires forecasts with lead times, which range from the short term (a few minutes, hours, or days ahead) to the long term (up to 20 years ahead). The major priority for an electrical power utility is to provide uninterrupted power supply to its customers. Long term peak load forecasting plays an important role in electrical power systems in terms of policy planning and budget allocation. This paper presents a peak load forecasting model using artificial neural networks (ANN). The approach in the paper is based on multi-layered back-propagation feed forward neural network. For annual forecasts, there should be 10 to 12 years of historical monthly data available for each electrical system or electrical buss. A case study is performed by using the proposed method of peak load data of a state electricity board of India which maintain high quality, reliable, historical data providing the best possible results. Model's quality is directly dependent upon data integrity.

V. Shrivastava; R.B. Misra; R.C. Bansal

2012-01-01T23:59:59.000Z

118

FORSITE: a geothermal site development forecasting system  

SciTech Connect

The Geothermal Site Development Forecasting System (FORSITE) is a computer-based system being developed to assist DOE geothermal program managers in monitoring the progress of multiple geothermal electric exploration and construction projects. The system will combine conceptual development schedules with site-specific status data to predict a time-phased sequence of development likely to occur at specific geothermal sites. Forecasting includes estimation of industry costs and federal manpower requirements across sites on a year-by-year basis. The main advantage of the system, which relies on reporting of major, easily detectable industry activities, is its ability to use relatively sparse data to achieve a representation of status and future development.

Entingh, D.J.; Gerstein, R.E.; Kenkeremath, L.D.; Ko, S.M.

1981-10-01T23:59:59.000Z

119

Monthly energy review, July 1996  

SciTech Connect

This document presents an overview of the recent monthly energy statistics from the Energy Information Administration (EIA). Statistical data covers activities of U.S. production, consumption, trade, stocks, and prices for fossil fuels , nuclear energy, and electricity. Also included are international energy and thermal and metric conversion factors.

NONE

1996-07-01T23:59:59.000Z

120

Monthly energy review, October 1993  

SciTech Connect

The Monthly Energy Review gives information on production, distribution, and consumption for various energy sources, e.g. petroleum, natural gas, oil, coal, electricity, and nuclear energy. Some data is also included on international energy sources and supplies, the import of petroleum products into the US and pricing and reserves data (as applicable) for the various sources of energy listed above.

Not Available

1993-10-26T23:59:59.000Z

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


121

Monthly energy review, November 1993  

SciTech Connect

The Monthly Energy Review gives information on production, distribution, and consumption for various energy sources, e.g. petroleum, natural gas, oil, coal, electricity, and nuclear energy. Some data is also included on international energy sources and supplies, the import of petroleum products into the US and pricing and reserves data (as applicable) for the various sources of energy listed above.

Not Available

1993-11-24T23:59:59.000Z

122

Monthly energy review, December 1993  

SciTech Connect

This document provides data on monthly energy use and fossil fuels. The following sections are included: Highlights: Emissions of greenhouse gases in the United States 1985--1990; Highlights: assessment of energy use in multibuilding facilities; energy overview; energy consumption; petroleum; natural gas; oil and gas resource development; coal; electricity; nuclear energy; energy prices; and international energy.

Not Available

1993-12-22T23:59:59.000Z

123

Correcting and combining time series forecasters  

Science Journals Connector (OSTI)

Combined forecasters have been in the vanguard of stochastic time series modeling. In this way it has been usual to suppose that each single model generates a residual or prediction error like a white noise. However, mostly because of disturbances not ... Keywords: Artificial neural networks hybrid systems, Linear combination of forecasts, Maximum likelihood estimation, Time series forecasters, Unbiased forecasters

Paulo Renato A. Firmino; Paulo S. G. De Mattos Neto; Tiago A. E. Ferreira

2014-02-01T23:59:59.000Z

124

National Cybersecurity Awareness Month  

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

National Cybersecurity Awareness Month (NCSAM) October 2013 Every October, the Department of Energy joins the Department of Homeland Security (DHS) and others across the country...

125

Monthly News Blast  

Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

Multimedia Corner Monthly News Blast July 2013 Secretaries Moniz and Vilsack Speaking at Biomass 2013 Secretary of Energy Ernest Moniz and Secretary of Agriculture Tom Vilsack...

126

Petroleum Marketing Monthly  

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

U.S. Refi ner wholesale petroleum product volumes U.S. Energy Information Administration | Petroleum Marketing Monthly 13 December 2014...

127

Petroleum Marketing Monthly  

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

U.S. Refi ner retail petroleum product volumes U.S. Energy Information Administration | Petroleum Marketing Monthly 9 December 2014...

128

Petroleum Marketing Monthly  

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

U.S. Refi ner retail petroleum product prices U.S. Energy Information Administration | Petroleum Marketing Monthly 7 December 2014...

129

Electricity Monthly Update  

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

Wholesale Markets: October 2014 The United States has many regional wholesale electricity markets. Below we look at monthly and annual ranges of on-peak, daily wholesale...

130

Electricity Monthly Update  

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

See all Electricity Reports Electricity Monthly Update With Data for September 2014 | Release Date: Nov. 25, 2014 | Next Release Date: Dec. 23, 2014 Previous Issues Issue:...

131

Electricity Monthly Update  

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

See all Electricity Reports Electricity Monthly Update With Data for October 2014 | Release Date: Dec. 23, 2014 | Next Release Date: Jan. 26, 2015 Previous Issues Issue:...

132

Electricity Monthly Update  

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

Wholesale Markets: September 2014 The United States has many regional wholesale electricity markets. Below we look at monthly and annual ranges of on-peak, daily wholesale...

133

MSC Monthly Performance Report  

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

month of January, ISMS Phase I activities continued, as scheduled. The Senior Management Review Board completed its evaluation on January 15, 2010, and notified MSA management...

134

Electricity Monthly Update  

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

See all Electricity Reports Electricity Monthly Update With Data for August 2014 | Release Date: Oct. 24, 2014 | Next Release Date: Nov. 24, 2014 Previous Issues Issue: October...

135

Electricity Monthly Update  

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

Wholesale Markets: August 2014 The United States has many regional wholesale electricity markets. Below we look at monthly and annual ranges of on-peak, daily wholesale...

136

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

Wholesale Markets: February 2014 The United States has many regional wholesale electricity markets. Below we look at monthly and annual ranges of on-peak, daily wholesale...

137

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

E-Print Network (OSTI)

Bloom Operational Forecast System Southwest Florida Forecast Region Maps 0 5 102.5 Miles #12;Bay Harmful Algal Bloom Operational Forecast System Southwest Florida Forecast Region Maps 0 5 102.5 Miles #12 N Collier N Charlotte S Charlotte NOAA Harmful Algal Bloom Operational Forecast System Southwest

138

Monthly energy review, December 1995  

SciTech Connect

This publication presents an overview of EIA`s recent monthly energy statistics. The statistics cover the major activities of US production, consumption, trade, stocks, and prices for petroleum, natural gas, coal, electricity, and nuclear energy. Also included are international energy and thermal and metric conversion factors. An energy preview of alternative fuel providers vehicle fleet surveys is included. The publication is intended for use by members of Congress, Federal and State agencies, energy analysts, and the general public.

NONE

1995-12-21T23:59:59.000Z

139

Monthly Energy Review - January 2008  

Gasoline and Diesel Fuel Update (EIA)

1) 1) January 2008 Monthly Energy Review The Monthly Energy Review (MER) is the Energy Information Administration's (EIA) primary report of recent and historical energy statistics. Included are statistics on total energy production, consumption, and trade; energy prices; overviews of petroleum, natural gas, coal, electricity, nuclear energy, renewable energy, and international petroleum; and data unit conversions. Release of the MER is in keeping with responsibilities given to EIA in Public Law 95-91 (Depart- ment of Energy Organization Act), which states, in part, in Section 205(a)(2), that: "The Administrator shall be responsible for carrying out a central, comprehen- sive, and unified energy data and information program which will collect, evalu-

140

Monthly Energy Review - September 2007  

Gasoline and Diesel Fuel Update (EIA)

09) 09) September 2007 Monthly Energy Review The Monthly Energy Review (MER) is the Energy Information Administration's (EIA) primary report of recent and historical energy statistics. Included are statistics on total energy production, consumption, and trade; energy prices; overviews of petroleum, natural gas, coal, electricity, nuclear energy, renewable energy, and international petroleum; and data unit conversions. Release of the MER is in keeping with responsibilities given to EIA in Public Law 95-91 (Depart- ment of Energy Organization Act), which states, in part, in Section 205(a)(2), that: "The Administrator shall be responsible for carrying out a central, comprehen- sive, and unified energy data and information program which will collect, evalu-

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


141

Monthly Energy Review - February 2008  

Gasoline and Diesel Fuel Update (EIA)

2) 2) February 2008 Monthly Energy Review The Monthly Energy Review (MER) is the Energy Information Administration's (EIA) primary report of recent and historical energy statistics. Included are statistics on total energy production, consumption, and trade; energy prices; overviews of petroleum, natural gas, coal, electricity, nuclear energy, renewable energy, and international petroleum; and data unit conversions. Release of the MER is in keeping with responsibilities given to EIA in Public Law 95-91 (Depart- ment of Energy Organization Act), which states, in part, in Section 205(a)(2), that: "The Administrator shall be responsible for carrying out a central, comprehen- sive, and unified energy data and information program which will collect, evalu-

142

Monthly Energy Review - October 2007  

Gasoline and Diesel Fuel Update (EIA)

0) 0) October 2007 Monthly Energy Review The Monthly Energy Review (MER) is the Energy Information Administration's (EIA) primary report of recent and historical energy statistics. Included are statistics on total energy production, consumption, and trade; energy prices; overviews of petroleum, natural gas, coal, electricity, nuclear energy, renewable energy, and international petroleum; and data unit conversions. Release of the MER is in keeping with responsibilities given to EIA in Public Law 95-91 (Depart- ment of Energy Organization Act), which states, in part, in Section 205(a)(2), that: "The Administrator shall be responsible for carrying out a central, comprehen- sive, and unified energy data and information program which will collect, evalu-

143

Monthly Energy Review - November 2007  

Gasoline and Diesel Fuel Update (EIA)

1) 1) November 2007 Monthly Energy Review The Monthly Energy Review (MER) is the Energy Information Administration's (EIA) primary report of recent and historical energy statistics. Included are statistics on total energy production, consumption, and trade; energy prices; overviews of petroleum, natural gas, coal, electricity, nuclear energy, renewable energy, and international petroleum; and data unit conversions. Release of the MER is in keeping with responsibilities given to EIA in Public Law 95-91 (Depart- ment of Energy Organization Act), which states, in part, in Section 205(a)(2), that: "The Administrator shall be responsible for carrying out a central, comprehen- sive, and unified energy data and information program which will collect, evalu-

144

Electric power monthly, June 1994  

SciTech Connect

The Electric Power Monthly (EPM) presents monthly electricity statistics. The purpose of this publication is to provide energy decisionmakers with accurate and timely information that may be used in forming various perspectives on electric issues that lie ahead. Data in this report are presented for a wide audience including Congress, Federal and State agencies, the electric utility industry, and the general public. The EIA collected the information in this report to fulfill its data collection and dissemination responsibilities as specified in the Federal Energy Administration Act of 1974 (Public Law 93-275) as amended.

Not Available

1994-06-01T23:59:59.000Z

145

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":""}]}

146

Price forecasting for notebook computers  

E-Print Network (OSTI)

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

Rutherford, Derek Paul

2012-06-07T23:59:59.000Z

147

Forecasting phenology under global warming  

Science Journals Connector (OSTI)

...Forrest Forecasting phenology under global warming Ines Ibanez 1 * Richard B. Primack...and site-specific responses to global warming. We found that for most species...climate change|East Asia, global warming|growing season, hierarchical...

2010-01-01T23:59:59.000Z

148

Demand Forecasting of New Products  

E-Print Network (OSTI)

Keeping Unit or SKU) employing attribute analysis techniques. The objective of this thesis is to improve Abstract This thesis is a study into the demand forecasting of new products (also referred to as Stock

Sun, Yu

149

Monthly Energy Review - February 2006  

Gasoline and Diesel Fuel Update (EIA)

6 6 Cover Image: Optical glass fibers, though many times thinner than a human hair, carry vastly greater quantities of data than metallic wires, occupy less space, and are more secure. First introduced in the 1970s, high-purity optical fibers are capable of transmitting data over long distances and have replaced wires in many telecommunications, computing, and electronics applications. Timing of release: MER data are normally released in the afternoon of the third-to-last workday of each month and are usually available electronically the following day. Released for Printing: February 23, 2006 Printed with soy ink on recycled paper. Monthly Energy Review The Monthly Energy Review (MER) is the Energy Information Admin- istration's (EIA) primary report of recent energy statistics. Included

150

Monthly Energy Review - May 1999  

Gasoline and Diesel Fuel Update (EIA)

May May 25, 1999 Electronic Access The Monthly Energy Review is available on the Energy Information Administration's website. Go to http://www.eia.doe.gov and click on "Energy Overview." Data are available in a variety of formats: * ASCII text, Lotus (wk1), and Excel (XLS) versions of the data tables (http://www.eia.doe.gov/emeu/mer/contents.html) * A portable document format (pdf) file of the entire report including text, tables, and graphs (http://www.eia.doe.gov/bookshelf/multi.html) * ASCII comma delimited files (previously available on diskettes) (ftp://ftp.eia.doe.gov/pub/energy.overview/ monthly.energy/current.mer) For information about the Energy Info Disc, call 1-800-STAT-USA. This CD-ROM contains over 200 reports, databases, and models. DOE/EIA-0035(99/05) Monthly Energy Review May 1999 Energy Information Administration Office

151

Monthly Energy Review, October 1998  

Gasoline and Diesel Fuel Update (EIA)

October October 27, 1998 Electronic Access Monthly Energy Review (MER) data are also avail- able through these electronic means: * ASCII text, Lotus (wk1), and Excel (xls) versions of the MER tables are available through EIA's Internet homepage at: http://www.eia.doe.gov/emeu/mer/con- tents.html * A portable document format (pdf) file of the com- plete MER including text, tables, and graphs can be downloaded via the homepage at: http://www.eia.doe.gov/bookshelf/ multi.html * MER data series in ASCII comma delimited file format (previously available on diskettes) can be downloaded via EIA's ftp site at ftp://ftp.eia.doe.gov/pub/energy.over- view/monthly.energy/current.mer * For information about the Energy Info Disc, call 1-800-STAT-USA. This CD-ROM con- tains over 200 reports, databases, and models. DOE/EIA-0035(98/10) Distribution Category UC-950 Monthly Energy

152

Monthly Energy Review - November 2000  

Gasoline and Diesel Fuel Update (EIA)

November 2000 November 2000 www.eia.doe.gov Energy Information Administration On the Web at: www.eia.doe.gov/mer Monthly Energy Review The Monthly Energy Review (MER) presents an overview of the Energy Information Administration's recent monthly energy statistics. The statisti cs cover the major activities of U.S. production, consumption, trade, stocks, and prices for petroleum, natural gas, coal, electricity, and nuclear energy. Also included are international energy and ther- mal and metric conversion factors. Publication of this report is in keeping with responsibilities given to the Energy Information Administration (EIA) in Public Law 95-91 (Department of Energy Organization Act), which states, in part, in Section 205(a)(2), that: The MER is intended for use by Members of Congress, Federal and State agencies, energy analysts, and the general public. EIA welcomes

153

Monthly Energy Review - July 2000  

Gasoline and Diesel Fuel Update (EIA)

July July 26, 2000 Electronic Access The Monthly Energy Review is available on the Energy Information Administration's website in a variety of formats: * ASCII text, Lotus (wk1), and Excel (XLS) versions of the data tables (http://www.eia.doe.gov/mer) * A portable document format (pdf) file of the entire report including text, tables, and graphs (http://www.eia.doe.gov/bookshelf/multi.html) * ASCII comma delimited files (previously available on diskettes) (ftp://ftp.eia.doe.gov/pub/energy.overview/ monthly.energy/current.mer) For information about the Energy Info Disc, call 1-800-STAT-USA. This CD-ROM contains over 200 reports, databases, and models. Timing of Release: MER data are normally released in the afternoon of the third-to-last workday of each month and are usually available electronically the following day. Cover Image: Optical glass fibers, though

154

Monthly Energy Review, July 1998  

Gasoline and Diesel Fuel Update (EIA)

July July 28, 1998 Electronic Access Monthly Energy Review (MER) data are also avail- able through these electronic means: * ASCII text, Lotus (wk1), and Excel (xls) versions of the MER tables are available through EIA's Internet homepage at: http://www.eia.doe.gov/emeu/mer/con- tents.html * A portable document format (pdf) file of the com- plete MER including text, tables, and graphs can be downloaded via the homepage at: http://www.eia.doe.gov/bookshelf/ multi.html * MER data series in ASCII comma delimited file format (previously available on diskettes) can be downloaded via EIA's ftp site at ftp://ftp.eia.doe.gov/pub/energy.over- view/monthly.energy/current.mer * For information about the Energy Info Disc, call 1-800-STAT-USA. This CD-ROM con- tains over 200 reports, databases, and models. DOE/EIA-0035(98/07) Distribution Category UC-950 Monthly Energy Review

155

Monthly Energy Review - October 2002  

Gasoline and Diesel Fuel Update (EIA)

2 2 E n e r g y P l u g : W i n t e r F u e l s O u t l o o k Monthly Energy Review The Monthly Energy Review (MER) presents an overview of the Energy Information Administration's recent monthly energy statis- tics. The statistics cover the major activities of U.S. production, consumption, trade, stocks, and prices for petroleum, natural gas, coal, electricity, and nuclear energy. Also included are interna- tional energy and thermal and metric conversion factors. Publication of this report is in keeping with responsibilities given to the Energy Information Administration (EIA) in Public Law 95-91 (Department of Energy Organization Act), which states, in part, in Section 205(a)(2), that: The MER is intended for use by Members of Congress, Federal and State agencies, energy analysts, and the general public. EIA welcomes suggestions from readers regarding data series in the MER and in other EIA

156

Monthly Energy Review, September 1998  

Gasoline and Diesel Fuel Update (EIA)

September September 25, 1998 Electronic Access Monthly Energy Review (MER) data are also avail- able through these electronic means: * ASCII text, Lotus (wk1), and Excel (xls) versions of the MER tables are available through EIA's Internet homepage at: http://www.eia.doe.gov/emeu/mer/con- tents.html * A portable document format (pdf) file of the com- plete MER including text, tables, and graphs can be downloaded via the homepage at: http://www.eia.doe.gov/bookshelf/ multi.html * MER data series in ASCII comma delimited file format (previously available on diskettes) can be downloaded via EIA's ftp site at ftp://ftp.eia.doe.gov/pub/energy.over- view/monthly.energy/current.mer * For information about the Energy Info Disc, call 1-800-STAT-USA. This CD-ROM con- tains over 200 reports, databases, and models. DOE/EIA-0035(98/09) Distribution Category UC-950 Monthly Energy

157

Monthly Energy Review - October 2005  

Gasoline and Diesel Fuel Update (EIA)

5 5 E n e r g y P l u g : W i n t e r F u e l s O u t l o o k Cover Image: Optical glass fibers, though many times thinner than a human hair, carry vastly greater quantities of data than metallic wires, occupy less space, and are more secure. First introduced in the 1970s, high-purity optical fibers are capable of transmitting data over long distances and have replaced wires in many telecommunications, computing, and electronics applications. Timing of release: MER data are normally released in the afternoon of the third-to-last workday of each month and are usually available electronically the following day. Released for Printing: October 26, 2005 Printed with soy ink on recycled paper. Monthly Energy Review The Monthly Energy Review (MER) is the Energy Information Admin- istration's (EIA) primary report of recent energy statistics. Included

158

Monthly Energy Review - March 2006  

Gasoline and Diesel Fuel Update (EIA)

6 6 Cover Image: Optical glass fibers, though many times thinner than a human hair, carry vastly greater quantities of data than metallic wires, occupy less space, and are more secure. First introduced in the 1970s, high-purity optical fibers are capable of transmitting data over long distances and have replaced wires in many telecommunications, computing, and electronics applications. Timing of release: MER data are normally released in the afternoon of the third-to-last workday of each month and are usually available electronically the following day. Released for Printing: March 27, 2006 Printed with soy ink on recycled paper. Monthly Energy Review The Monthly Energy Review (MER) is the Energy Information Admin- istration's (EIA) primary report of recent energy statistics. Included

159

Monthly Energy Review - November 2004  

Gasoline and Diesel Fuel Update (EIA)

4 4 E n e r g y P l u g : O i l M a r k e t B a s i c s Cover Image: Optical glass fibers, though many times thinner than a human hair, carry vastly greater quantities of data than metallic wires, occupy less space, and are more secure. First introduced in the 1970s, high-purity optical fibers are capable of transmitting data over long distances and have replaced wires in many telecommunications, computing, and electronics applications. Timing of release: MER data are normally released in the afternoon of the third-to-last workday of each month and are usually available electronically the following day. Released for Printing: November 23, 2004 Printed with soy ink on recycled paper. Monthly Energy Review The Monthly Energy Review (MER) is the Energy Information Admin- istration's (EIA) primary report of recent energy statistics. Included

160

Monthly Energy Review - February 1999  

Gasoline and Diesel Fuel Update (EIA)

February February 26, 1999 Electronic Access The Monthly Energy Review is available on the Energy Information Administration's website. Go to http://www.eia.doe.gov and click on "Energy Overview." Data are available in a variety of formats: * ASCII text, Lotus (wk1), and Excel (XLS) versions of the data tables (http://www.eia.doe.gov/emeu/mer/contents.html) * A portable document format (pdf) file of the entire report including text, tables, and graphs (http://www.eia.doe.gov/bookshelf/multi.html) * ASCII comma delimited files (previously available on diskettes) (ftp://ftp.eia.doe.gov/pub/energy.overview/ monthly.energy/current.mer) For information about the Energy Info Disc, call 1-800-STAT-USA. This CD-ROM contains over 200 reports, databases, and models. DOE/EIA-0035(99/02) Monthly Energy Review February 1999 Energy Information Administration

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


161

Monthly Energy Review - April 2006  

Gasoline and Diesel Fuel Update (EIA)

6 6 Cover Image: Optical glass fibers, though many times thinner than a human hair, carry vastly greater quantities of data than metallic wires, occupy less space, and are more secure. First introduced in the 1970s, high-purity optical fibers are capable of transmitting data over long distances and have replaced wires in many telecommunications, computing, and electronics applications. Timing of release: MER data are normally released in the afternoon of the third-to-last workday of each month and are usually available electronically the following day. Released for Printing: April 25, 2006 Printed with soy ink on recycled paper. Monthly Energy Review The Monthly Energy Review (MER) is the Energy Information Admin- istration's (EIA) primary report of recent energy statistics. Included

162

Monthly Energy Review, November 1998  

Gasoline and Diesel Fuel Update (EIA)

November November 24, 1998 Electronic Access Monthly Energy Review (MER) data are also avail- able through these electronic means: * ASCII text, Lotus (wk1), and Excel (xls) versions of the MER tables are available through EIA's Internet homepage at: http://www.eia.doe.gov/emeu/mer/con- tents.html * A portable document format (pdf) file of the com- plete MER including text, tables, and graphs can be downloaded via the homepage at: http://www.eia.doe.gov/bookshelf/ multi.htm * MER data series in ASCII comma delimited file format (previously available on diskettes) can be downloaded via EIA's ftp site at: ftp://ftp.eia.doe.gov/pub/energy.over- view/monthly.energy/current.mer * For information about the Energy Info Disc, call 1-800-STAT-USA. This CD-ROM con- tains over 200 reports, databases, and models. DOE/EIA-0035(98/11) Distribution Category UC-950 Monthly Energy

163

Monthly Energy Review, June 1998  

Gasoline and Diesel Fuel Update (EIA)

June June 25, 1998 Electronic Access Monthly Energy Review (MER) data are also avail- able through these electronic means: * ASCII text, Lotus (wk1), and Excel (xls) versions of the MER tables are available through EIA's Internet homepage at: http://www.eia.doe.gov/emeu/mer/con- tents.html * A portable document format (pdf) file of the com- plete MER including text, tables, and graphs can be downloaded via the homepage at: http://www.eia.doe.gov/bookshelf/multi.html * MER data series in ASCII comma delimited file format (previously available on diskettes) can be downloaded via EIA's ftp site at ftp://ftp.eia.doe.gov/pub/energy.over- view/monthly.energy/current.mer * For information about the Energy Info Disc, call 1-800-STAT-USA. This CD-ROM con- tains over 200 reports, databases, and models. DOE/EIA-0035(98/06) Distribution Category UC-950 Monthly Energy Review

164

Monthly Energy Review - January 1999  

Gasoline and Diesel Fuel Update (EIA)

January January 26, 1999 Electronic Access The Monthly Energy Review is available on the Energy Information Administration's website. Go to http://www.eia.doe.gov and click on "Energy Overview." Data are available in a variety of formats: * ASCII text, Lotus (wk1), and Excel (XLS) versions of the data tables (http://www.eia.doe.gov/emeu/mer/contents.html) * A portable document format (pdf) file of the entire report including text, tables, and graphs (http://www.eia.doe.gov/bookshelf/multi.html) * ASCII comma delimited files (previously available on diskettes) (ftp://ftp.eia.doe.gov/pub/energy.overview/ monthly.energy/current.mer) For information about the Energy Info Disc, call 1-800-STAT-USA. This CD-ROM contains over 200 reports, databases, and models. DOE/EIA-0035(99/01) Distribution Category UC-950 Monthly Energy Review January 1999 Energy

165

Monthly Energy Review April 1999  

Gasoline and Diesel Fuel Update (EIA)

April April 27, 1999 Electronic Access The Monthly Energy Review is available on the Energy Information Administration's website. Go to http://www.eia.doe.gov and click on "Energy Overview." Data are available in a variety of formats: * ASCII text, Lotus (wk1), and Excel (XLS) versions of the data tables (http://www.eia.doe.gov/emeu/mer/contents.html) * A portable document format (pdf) file of the entire report including text, tables, and graphs (http://www.eia.doe.gov/bookshelf/multi.html) * ASCII comma delimited files (previously available on diskettes) (ftp://ftp.eia.doe.gov/pub/energy.overview/ monthly.energy/current.mer) For information about the Energy Info Disc, call 1-800-STAT-USA. This CD-ROM contains over 200 reports, databases, and models. DOE/EIA-0035(99/04) Monthly Energy Review April 1999 Energy Information Administration Office

166

Monthly Energy Review, August 1998  

Gasoline and Diesel Fuel Update (EIA)

August August 25, 1998 Electronic Access Monthly Energy Review (MER) data are also avail- able through these electronic means: * ASCII text, Lotus (wk1), and Excel (xls) versions of the MER tables are available through EIA's Internet homepage at: http://www.eia.doe.gov/emeu/mer/con- tents.html * A portable document format (pdf) file of the com- plete MER including text, tables, and graphs can be downloaded via the homepage at: http://www.eia.doe.gov/bookshelf/ multi.html * MER data series in ASCII comma delimited file format (previously available on diskettes) can be downloaded via EIA's ftp site at ftp://ftp.eia.doe.gov/pub/energy.over- view/monthly.energy/current.mer * For information about the Energy Info Disc, call 1-800-STAT-USA. This CD-ROM con- tains over 200 reports, databases, and models. DOE/EIA-0035(98/08) Distribution Category UC-950 Monthly Energy Review

167

Monthly Energy Review - December 1998  

Gasoline and Diesel Fuel Update (EIA)

December December 22, 1998 Electronic Access Monthly Energy Review (MER) data are also avail- able through these electronic means: * ASCII text, Lotus (wk1), and Excel (xls) versions of the MER tables are available through EIA's Internet homepage at: http://www.eia.doe.gov/emeu/mer/con- tents.html * A portable document format (pdf) file of the com- plete MER including text, tables, and graphs can be downloaded via the homepage at: http://www.eia.doe.gov/bookshelf/ multi.htm * MER data series in ASCII comma delimited file format (previously available on diskettes) can be downloaded via EIA's ftp site at: ftp://ftp.eia.doe.gov/pub/energy.over- view/monthly.energy/current.mer * For information about the Energy Info Disc, call 1-800-STAT-USA. This CD-ROM con- tains over 200 reports, databases, and models. DOE/EIA-0035(98/12) Distribution Category UC-950 Monthly Energy

168

Monthly Energy Review - July 2004  

Gasoline and Diesel Fuel Update (EIA)

4 4 Cover Image: Optical glass fibers, though many times thinner than a human hair, carry vastly greater quantities of data than metallic wires, occupy less space, and are more secure. First introduced in the 1970s, high-purity optical fibers are capable of transmitting data over long distances and have replaced wires in many telecommunications, computing, and electronics applications. Timing of release: MER data are normally released in the afternoon of the third-to-last workday of each month and are usually available electronically the following day. Released for Printing: July 27, 2004 Printed with soy ink on recycled paper. Monthly Energy Review The Monthly Energy Review (MER) is the Energy Information Admin- istration's primary report of recent energy statistics. Included are

169

Monthly Energy Review - May 2004  

Gasoline and Diesel Fuel Update (EIA)

4 4 Cover Image: Optical glass fibers, though many times thinner than a human hair, carry vastly greater quantities of data than metallic wires, occupy less space, and are more secure. First introduced in the 1970s, high-purity optical fibers are capable of transmitting data over long distances and have replaced wires in many telecommunications, computing, and electronics applications. Timing of release: MER data are normally released in the afternoon of the third-to-last workday of each month and are usually available electronically the following day. Released for Printing: May 26, 2004 Printed with soy ink on recycled paper. Monthly Energy Review The Monthly Energy Review (MER) is the Energy Information Admin- istration's primary report of recent energy statistics. Included are

170

Monthly Energy Review - January 2006  

Gasoline and Diesel Fuel Update (EIA)

6 6 Cover Image: Optical glass fibers, though many times thinner than a human hair, carry vastly greater quantities of data than metallic wires, occupy less space, and are more secure. First introduced in the 1970s, high-purity optical fibers are capable of transmitting data over long distances and have replaced wires in many telecommunications, computing, and electronics applications. Timing of release: MER data are normally released in the afternoon of the third-to-last workday of each month and are usually available electronically the following day. Released for Printing: January 25, 2006 Printed with soy ink on recycled paper. Monthly Energy Review The Monthly Energy Review (MER) is the Energy Information Admin- istration's (EIA) primary report of recent energy statistics. Included

171

Monthly Energy Review - July 2006  

Gasoline and Diesel Fuel Update (EIA)

6 6 Cover Image: Optical glass fibers, though many times thinner than a human hair, carry vastly greater quantities of data than metallic wires, occupy less space, and are more secure. First introduced in the 1970s, high-purity optical fibers are capable of transmitting data over long distances and have replaced wires in many telecommunications, computing, and electronics applications. Timing of release: MER data are normally released in the afternoon of the third-to-last workday of each month and are usually available electronically the following day. Released for Printing: July 26, 2006 Printed with soy ink on recycled paper. Monthly Energy Review The Monthly Energy Review (MER) is the Energy Information Admin- istration's (EIA) primary report of recent energy statistics. Included

172

Weather forecasting : the next generation : the potential use and implementation of ensemble forecasting  

E-Print Network (OSTI)

This thesis discusses ensemble forecasting, a promising new weather forecasting technique, from various viewpoints relating not only to its meteorological aspects but also to its user and policy aspects. Ensemble forecasting ...

Goto, Susumu

2007-01-01T23:59:59.000Z

173

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

Office of Environmental Management (EM)

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

174

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

E-Print Network (OSTI)

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

Sakauchi, Tsuginosuke

2011-01-01T23:59:59.000Z

175

A hybrid dynamic and fuzzy time series model for mid-term power load forecasting  

Science Journals Connector (OSTI)

Abstract A new hybrid model for forecasting the electric power load several months ahead is proposed. To allow for distinct responses from individual load sectors, this hybrid model, which combines dynamic (i.e., air temperature dependency of power load) and fuzzy time series approaches, is applied separately to the household, public, service, and industrial sectors. The hybrid model is tested using actual load data from the Seoul metropolitan area, and its predictions are compared with those from two typical dynamic models. Our investigation shows that, in the case of four-month forecasting, the proposed model gives the actual monthly power load of every sector with only less than 3% absolute error and satisfactory reduction of forecasting errors compared to other models from previous studies.

Woo-Joo Lee; Jinkyu Hong

2015-01-01T23:59:59.000Z

176

Petroleum Marketing Monthly  

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

Information Administration, Form EIA-782A, "Refi ners'Gas Plant Operators' Monthly Petroleum Product Sales Report." Source: U. U. U. U S. S S S S E E E Ene ne erg r r y y y In n...

177

Petroleum Marketing Monthly  

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

U.S. Refi ner wholesale petroleum product prices Source: U.S. Energy Information Administration, Form EIA-782A, "Refi ners'Gas Plant Operators' Monthly Petroleum Product Sales...

178

Petroleum Marketing Monthly  

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

acquisition cost for crude oil declined 3.34 (3.5 percent), to 92.27 per barrel. Petroleum products Motor gasoline * September monthly average prices for refi ner sales of...

179

ORSSAB monthly board meeting  

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

The ORSSAB monthly board meeting is open to the public. The board will hear a presentation and discuss the development of a comprehensive mercury strategy for the Oak Ridge Reservation.

180

Natural Gas Monthly  

Reports and Publications (EIA)

Highlights activities, events, and analyses associated with the natural gas industry. Volume and price data are presented each month for natural gas production, distribution, consumption, and interstate pipeline activities. Producer related activities and underground storage data are also reported.

2014-01-01T23:59:59.000Z

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


181

Disability Employment Awareness Month  

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

Utilizing the talents of all Americans is essential for our Nation to out-innovate, out-educate, and out-build the rest of the world.  During National Disability Employment Awareness Month, we...

182

Petroleum Marketing Monthly  

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

See footnotes at end of table. U.S. Energy Information Administration | Petroleum Marketing Monthly 14 December 2014 Table 6. U.S. refi ner motor gasoline prices by grade and...

183

MSC Monthly Performance Report  

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

be completed by the end of Calendar Year 2009. EXECUTIVE OVERVIEW MSC Monthly Performance Report November 2009 DOERL-2009-113 REV 2 4 2.0 ANALYSIS OF FUNDS Table 2-1. Mission...

184

Geographic Area Month  

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

Fuels by PAD District and State (Cents per Gallon Excluding Taxes) - Continued Geographic Area Month No. 1 Distillate No. 2 Distillate a No. 4 Fuel b Sales to End Users Sales for...

185

Black History Month  

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

During National African American History Month, we pay tribute to the contributions of past generations and reaffirm our commitment to keeping the American dream alive for the next generation.  In...

186

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"

187

Summary Verification Measures and Their Interpretation for Ensemble Forecasts  

Science Journals Connector (OSTI)

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

A. Allen Bradley; Stuart S. Schwartz

2011-09-01T23:59:59.000Z

188

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

189

Petroleum marketing monthly, November 1994  

SciTech Connect

The Petroleum Marketing Monthly (PMM) provides information and statistical data on a variety of crude oils and refined petroleum products. The publication presents statistics on crude oil costs and refined petroleum products sales for use by industry, government, private sector analysts, educational institutions, and consumers. Data on crude oil include the domestic first purchase price, the f.o.b. and landed cost of imported crude oil, and the refiners` acquisition cost of crude oil. Refined petroleum product sales data include motor gasoline, distillates, residuals, aviation fuels, kerosene, and propane.

Not Available

1994-11-21T23:59:59.000Z

190

Petroleum marketing monthly, December 1994  

SciTech Connect

The Petroleum Marketing Monthly (PMM) provides information and statistical data on a variety of crude oils and refined petroleum products. The publication presents statistics on crude oil costs and refined petroleum products sales for use by industry, government, private sector analysts, educational institutions, and consumers. Data on crude oil include the domestic first purchase price, the f.o.b. and landed cost of imported crude oil, and the refiners` acquisition cost of crude oil. Refined petroleum product sales data include motor gasoline, distillates, residuals, aviation fuels, kerosene, and propane.

Not Available

1994-12-07T23:59:59.000Z

191

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

Methodology and Documentation Methodology and Documentation General The Electricity Monthly Update is prepared by the Electric Power Operations Team, Office of Electricity, Renewables and Uranium Statistics, U.S. Energy Information Administration (EIA), U.S. Department of Energy. Data published in the Electricity Monthly Update are compiled from the following sources: U.S. Energy Information Administration, Form EIA-826,"Monthly Electric Utility Sales and Revenues with State Distributions Report," U.S. Energy Information Administration, Form EIA-923, "Power Plant Operations Report," fuel spot prices from Bloomberg Energy, electric power prices from SNL Energy, electric system demand data from Ventyx Energy Velocity Suite, and weather data and imagery from the National Oceanic and Atmospheric

192

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

Methodology and Documentation Methodology and Documentation General The Electricity Monthly Update is prepared by the Electric Power Operations Team, Office of Electricity, Renewables and Uranium Statistics, U.S. Energy Information Administration (EIA), U.S. Department of Energy. Data published in the Electricity Monthly Update are compiled from the following sources: U.S. Energy Information Administration, Form EIA-826,"Monthly Electric Utility Sales and Revenues with State Distributions Report," U.S. Energy Information Administration, Form EIA-923, "Power Plant Operations Report," fuel spot prices from Bloomberg Energy, electric power prices from SNL Energy, electric system demand data from Ventyx Energy Velocity Suite, and weather data and imagery from the National Oceanic and Atmospheric

193

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

Methodology and Documentation Methodology and Documentation General The Electricity Monthly Update is prepared by the Electric Power Operations Team, Office of Electricity, Renewables and Uranium Statistics, U.S. Energy Information Administration (EIA), U.S. Department of Energy. Data published in the Electricity Monthly Update are compiled from the following sources: U.S. Energy Information Administration, Form EIA-826,"Monthly Electric Utility Sales and Revenues with State Distributions Report," U.S. Energy Information Administration, Form EIA-923, "Power Plant Operations Report," fuel spot prices from Bloomberg Energy, electric power prices from SNL Energy, electric system demand data from Ventyx Energy Velocity Suite, and weather data and imagery from the National Oceanic and Atmospheric

194

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

Electric Power Sector Coal Stocks: March 2012 Electric Power Sector Coal Stocks: March 2012 Stocks The seasonal winter drawdown of coal stocks was totally negated during the winter months this year due to low natural gas prices and unseasonably warm temperatures throughout the continental United States. In fact, March 2012 was the seventh straight month that coal stockpiles at power plants increased from the previous month. The largest driver of increasing stockpiles has been declining consumption of coal due to unseasonably warm weather and declining natural gas prices. Because much of the coal supplied to electric generators is purchased through long-term contracts, increasing coal stockpiles have proven difficult for electric power plant operators to handle. Some operators have inventories so high that they are refusing

195

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

Electric Power Sector Coal Stocks: October 2013 Electric Power Sector Coal Stocks: October 2013 Stocks In October 2013, total coal stocks increased 0.8 percent from the previous month. This follows the normal seasonal pattern for this time of year as the country begins to build up coal stocks to be consumed during the winter months. Compared to last October, coal stocks decreased 17.7 percent. This occurred because coal stocks in October 2012 were at an extremely high level. Days of Burn Days of burn Coal capacity The average number of days of burn held at electric power plants is a forward looking estimate of coal supply given a power plant's current stockpile and past consumption patterns. The total bituminous supply decreased from 85 days the previous month to 78 days in October 2013, while the total subbituminous supply decreased from 63 days in September 2013 to

196

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

Methodology and Documentation Methodology and Documentation General The Electricity Monthly Update is prepared by the Electric Power Operations Team, Office of Electricity, Renewables and Uranium Statistics, U.S. Energy Information Administration (EIA), U.S. Department of Energy. Data published in the Electricity Monthly Update are compiled from the following sources: U.S. Energy Information Administration, Form EIA-826,"Monthly Electric Utility Sales and Revenues with State Distributions Report," U.S. Energy Information Administration, Form EIA-923, "Power Plant Operations Report," fuel spot prices from Bloomberg Energy, electric power prices from SNL Energy, electric system demand data from Ventyx Energy Velocity Suite, and weather data and imagery from the National Oceanic and Atmospheric

197

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

Methodology and Documentation Methodology and Documentation General The Electricity Monthly Update is prepared by the Electric Power Operations Team, Office of Electricity, Renewables and Uranium Statistics, U.S. Energy Information Administration (EIA), U.S. Department of Energy. Data published in the Electricity Monthly Update are compiled from the following sources: U.S. Energy Information Administration, Form EIA-826,"Monthly Electric Utility Sales and Revenues with State Distributions Report," U.S. Energy Information Administration, Form EIA-923, "Power Plant Operations Report," fuel spot prices from Bloomberg Energy, electric power prices from SNL Energy, electric system demand data from Ventyx Energy Velocity Suite, and weather data and imagery from the National Oceanic and Atmospheric

198

monthly | OpenEI  

Open Energy Info (EERE)

714 714 Varnish cache server Browse Upload data GDR 429 Throttled (bot load) Error 429 Throttled (bot load) Throttled (bot load) Guru Meditation: XID: 2142280714 Varnish cache server monthly Dataset Summary Description The Florida Geological Survey is where data related to oil, gas, and geothermal resources for the state of Florida are made public. This dataset contains monthly oil and gas production data for January and February of 2011. The dataset is in .xls format, and displays well status, well production, and cumulative data. Source Florida Geological Survey Date Released February 28th, 2011 (3 years ago) Date Updated Unknown Keywords data Florida gas monthly oil production Data application/vnd.ms-excel icon February 2011 oil and gas production data (xls, 33.8 KiB)

199

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

Regional Wholesale Markets: November 2011 Regional Wholesale Markets: November 2011 The United States has many regional wholesale electricity markets. Below we look at monthly and annual ranges of on-peak, daily wholesale prices at selected pricing locations and daily peak demand for selected electricity systems in the U.S. The range of daily prices and demand data is shown for the report month and for the year ending with the report month. Prices and demand are shown for six Regional Transmission Operator (RTO) markets: ISO New England (ISO-NE), New York ISO (NYISO), PJM Interconnection (PJM), Midwest ISO (MISO), Electric Reliability Council of Texas (ERCOT), and two locations in the California ISO (CAISO). Also shown are wholesale prices at trading hubs in Louisiana (into Entergy), Southwest

200

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

Methodology and Documentation Methodology and Documentation General The Electricity Monthly Update is prepared by the Electric Power Operations Team, Office of Electricity, Renewables and Uranium Statistics, U.S. Energy Information Administration (EIA), U.S. Department of Energy. Data published in the Electricity Monthly Update are compiled from the following sources: U.S. Energy Information Administration, Form EIA-826,"Monthly Electric Utility Sales and Revenues with State Distributions Report," U.S. Energy Information Administration, Form EIA-923, "Power Plant Operations Report," fuel spot prices from Bloomberg Energy, electric power prices from SNL Energy, electric system demand data from Ventyx Energy Velocity Suite, and weather data and imagery from the National Oceanic and Atmospheric

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


201

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

Regional Wholesale Markets: December 2011 Regional Wholesale Markets: December 2011 The United States has many regional wholesale electricity markets. Below we look at monthly and annual ranges of on-peak, daily wholesale prices at selected pricing locations and daily peak demand for selected electricity systems in the nation. The range of daily prices and demand data is shown for the report month and for the year ending with the report month. Prices and demand are shown for six Regional Transmission Operator (RTO) markets: ISO New England (ISO-NE), New York ISO (NYISO), PJM Interconnection (PJM), Midwest ISO (MISO), Electric Reliability Council of Texas (ERCOT), and two locations in the California ISO (CAISO). Also shown are wholesale prices at trading hubs in Louisiana (into Entergy), Southwest

202

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

Methodology and Documentation Methodology and Documentation General The Electricity Monthly Update is prepared by the Electric Power Operations Team, Office of Electricity, Renewables and Uranium Statistics, U.S. Energy Information Administration (EIA), U.S. Department of Energy. Data published in the Electricity Monthly Update are compiled from the following sources: U.S. Energy Information Administration, Form EIA-826,"Monthly Electric Utility Sales and Revenues with State Distributions Report," U.S. Energy Information Administration, Form EIA-923, "Power Plant Operations Report," fuel spot prices from Bloomberg Energy, electric power prices from SNL Energy, electric system demand data from Ventyx Energy Velocity Suite, and weather data and imagery from the National Oceanic and Atmospheric

203

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

Methodology and Documentation Methodology and Documentation General The Electricity Monthly Update is prepared by the Electric Power Operations Team, Office of Electricity, Renewables and Uranium Statistics, U.S. Energy Information Administration (EIA), U.S. Department of Energy. Data published in the Electricity Monthly Update are compiled from the following sources: U.S. Energy Information Administration, Form EIA-826,"Monthly Electric Utility Sales and Revenues with State Distributions Report," U.S. Energy Information Administration, Form EIA-923, "Power Plant Operations Report," fuel spot prices from Bloomberg Energy, electric power prices from SNL Energy, electric system demand data from Ventyx Energy Velocity Suite, and weather data and imagery from the National Oceanic and Atmospheric

204

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

Regional Wholesale Markets: January 2012 Regional Wholesale Markets: January 2012 The United States has many regional wholesale electricity markets. Below we look at monthly and annual ranges of on-peak, daily wholesale prices at selected pricing locations and daily peak demand for selected electricity systems in the nation. The range of daily prices and demand data is shown for the report month and for the year ending with the report month. Prices and demand are shown for six Regional Transmission Operator (RTO) markets: ISO New England (ISO-NE), New York ISO (NYISO), PJM Interconnection (PJM), Midwest ISO (MISO), Electric Reliability Council of Texas (ERCOT), and two locations in the California ISO (CAISO). Also shown are wholesale prices at trading hubs in Louisiana (into Entergy), Southwest

205

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

Regional Wholesale Markets: October 2011 Regional Wholesale Markets: October 2011 The United States has many regional wholesale electricity markets. Below we look at monthly and annual ranges of on-peak, daily wholesale prices at selected pricing locations and daily peak demand for selected electricity systems in the U.S. The range of daily prices and demand data is shown for the report month and for the year ending with the report month. Prices and demand are shown for six Regional Transmission Operator (RTO) markets: ISO New England (ISO-NE), New York ISO (NYISO), PJM Interconnection (PJM), Midwest ISO (MISO), Electric Reliability Council of Texas (ERCOT), and two locations in the California ISO (CAISO). Also shown are wholesale prices at trading hubs in Louisiana (into Entergy), Southwest

206

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

Electric Power Sector Coal Stocks: November 2011 Electric Power Sector Coal Stocks: November 2011 Stocks As discussed in this month's feature story, electric power sector coal stocks continued to replenish after the summer burn in November, though stockpile levels remain below 2010 and 2009 levels. All coal stockpile levels declined from November 2010, with bituminous coal stockpile levels 9 percent lower than the same month of 2010. Days of Burn Days of burn Coal capacity The average number of days of burn held at electric power plants is a forward looking estimate of coal supply given a power plantâ€(tm)s current stockpile and past consumption patterns. The average number of days of burn held on hand at electric power plants dropped slightly from last month and remained below levels seen in November of 2010 or 2009. While

207

Monthly Energy Statistics  

Gasoline and Diesel Fuel Update (EIA)

July July 2003 E n e r g y P l u g : R e s i d e n t i a l E n e r g y C o n s u m p t i o n Cover Image: Optical glass fibers, though many times thinner than a human hair, carry vastly greater quantities of data than metallic wires, occupy less space, and are more secure. First introduced in the 1970s, high-purity optical fibers are capable of transmitting data over long distances and have replaced wires in many telecommunications, computing, and electronics applications. Timing of release: MER data are normally released in the afternoon of the third-to-last workday of each month and are usually available electronically the following day. Released for Printing: July 28, 2003 Printed with soy ink on recycled paper. Monthly Energy Review The Monthly Energy Review (MER) presents an overview of the

208

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

Regional Wholesale Markets: March 2012 Regional Wholesale Markets: March 2012 The United States has many regional wholesale electricity markets. Below we look at monthly and annual ranges of on-peak, daily wholesale prices at selected pricing locations and daily peak demand for selected electricity systems in the Nation. The range of daily prices and demand data is shown for the report month and for the year ending with the report month. Prices and demand are shown for six Regional Transmission Operator (RTO) markets: ISO New England (ISO-NE), New York ISO (NYISO), PJM Interconnection (PJM), Midwest ISO (MISO), Electric Reliability Council of Texas (ERCOT), and two locations in the California ISO (CAISO). Also shown are wholesale prices at trading hubs in Louisiana (into Entergy), Southwest

209

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

Methodology and Documentation Methodology and Documentation General The Electricity Monthly Update is prepared by the Electric Power Operations Team, Office of Electricity, Renewables and Uranium Statistics, U.S. Energy Information Administration (EIA), U.S. Department of Energy. Data published in the Electricity Monthly Update are compiled from the following sources: U.S. Energy Information Administration, Form EIA-826,"Monthly Electric Utility Sales and Revenues with State Distributions Report," U.S. Energy Information Administration, Form EIA-923, "Power Plant Operations Report," fuel spot prices from Bloomberg Energy, electric power prices from SNL Energy, electric system demand data from Ventyx Energy Velocity Suite, and weather data and imagery from the National Oceanic and Atmospheric

210

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

Regional Wholesale Markets: February 2012 Regional Wholesale Markets: February 2012 The United States has many regional wholesale electricity markets. Below we look at monthly and annual ranges of on-peak, daily wholesale prices at selected pricing locations and daily peak demand for selected electricity systems in the Nation. The range of daily prices and demand data is shown for the report month and for the year ending with the report month. Prices and demand are shown for six Regional Transmission Operator (RTO) markets: ISO New England (ISO-NE), New York ISO (NYISO), PJM Interconnection (PJM), Midwest ISO (MISO), Electric Reliability Council of Texas (ERCOT), and two locations in the California ISO (CAISO). Also shown are wholesale prices at trading hubs in Louisiana (into Entergy), Southwest

211

Communication of uncertainty in temperature forecasts  

Science Journals Connector (OSTI)

We used experimental economics to test whether undergraduate students presented with a temperature forecast with uncertainty information in a table and bar graph format were able to use the extra information to interpret a given forecast. ...

Pricilla Marimo; Todd R. Kaplan; Ken Mylne; Martin Sharpe

212

FORECASTING THE ROLE OF RENEWABLES IN HAWAII  

E-Print Network (OSTI)

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

Sathaye, Jayant

2013-01-01T23:59:59.000Z

213

Massachusetts state airport system plan forecasts.  

E-Print Network (OSTI)

This report is a first step toward updating the forecasts contained in the 1973 Massachusetts State System Plan. It begins with a presentation of the forecasting techniques currently available; it surveys and appraises the ...

Mathaisel, Dennis F. X.

214

Antarctic Satellite Meteorology: Applications for Weather Forecasting  

Science Journals Connector (OSTI)

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

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

2003-02-01T23:59:59.000Z

215

Forecasting Water Use in Texas Cities  

E-Print Network (OSTI)

In this research project, a methodology for automating the forecasting of municipal daily water use is developed and implemented in a microcomputer program called WATCAL. An automated forecast system is devised by modifying the previously...

Shaw, Douglas T.; Maidment, David R.

216

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

217

Electric power monthly, July 1994  

SciTech Connect

The Electric Power Monthly (EPM) presents monthly electricity statistics. The purpose of this publication is to provide energy decisionmakers with accurate and timely information that may be used in forming various perspectives on electric issues that lie ahead. Data in this report are presented for a wide audience including Congress, Federal and State agencies, the electric utility industry, and the general public. The EIA collected the information in this report to fulfill its data collection and dissemination responsibilities as specified in the Federal Energy Administration Act of 1974 (Public Law 93-275) as amended. The EPM is prepared by the Survey Management Division; Office of Coal, Nuclear, Electric and Alternate Fuels, Energy Information Administration (EIA), Department of Energy. This publication provides monthly statistics at the US, Census division, and State levels for net generation, fossil fuel consumption and stocks, quantity and quality of fossil fuels, cost of fossil fuels, electricity sales, revenue, and average revenue per kilowatthour of electricity sold. Data on net generation, fuel consumption, fuel stocks, quantity and cost of fossil fuels are also displayed for the North American Electric Reliability Council (NERC) regions. Statistics by company and plant are published in the EPM on the capability of new generating units, net generation, fuel consumption, fuel stocks, quantity and quality of fuel, and cost of fossil fuels. Data on quantity, quality, and cost of fossil fuels lag data on net generation, fuel consumption, fuel stocks, electricity sales, and average revenue per kilowatthour by 1 month. This difference in reporting appears in the US, Census division, and State level tables. However, for purposes of comparison, plant-level data are presented for the earlier month.

Not Available

1994-07-01T23:59:59.000Z

218

November 2010 monthly report  

SciTech Connect

These viewgraphs are to be provided to NNSA to update the status of the B61 Life Extension Project work and activities. The viewgraphs cover such issues as budget, schedule, scope, and the like. They are part of the monthly reporting process.

Neff, Warren E [Los Alamos National Laboratory

2010-12-07T23:59:59.000Z

219

Does Money Matter in Inflation Forecasting? JM Binner 1  

E-Print Network (OSTI)

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

Tino, Peter

220

Forecasting correlated time series with exponential smoothing models  

Science Journals Connector (OSTI)

This paper presents the Bayesian analysis of a general multivariate exponential smoothing model that allows us to forecast time series jointly, subject to correlated random disturbances. The general multivariate model, which can be formulated as a seemingly unrelated regression model, includes the previously studied homogeneous multivariate Holt-Winters’ model as a special case when all of the univariate series share a common structure. MCMC simulation techniques are required in order to approach the non-analytically tractable posterior distribution of the model parameters. The predictive distribution is then estimated using Monte Carlo integration. A Bayesian model selection criterion is introduced into the forecasting scheme for selecting the most adequate multivariate model for describing the behaviour of the time series under study. The forecasting performance of this procedure is tested using some real examples.

Ana Corberán-Vallet; José D. Bermúdez; Enriqueta Vercher

2011-01-01T23:59:59.000Z

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


221

Energy demand forecasting: industry practices and challenges  

Science Journals Connector (OSTI)

Accurate forecasting of energy demand plays a key role for utility companies, network operators, producers and suppliers of energy. Demand forecasts are utilized for unit commitment, market bidding, network operation and maintenance, integration of renewable ... Keywords: analytics, energy demand forecasting, machine learning, renewable energy sources, smart grids, smart meters

Mathieu Sinn

2014-06-01T23:59:59.000Z

222

Consensus Coal Production And Price Forecast For  

E-Print Network (OSTI)

Consensus Coal Production And Price Forecast For West Virginia: 2011 Update Prepared for the West December 2011 © Copyright 2011 WVU Research Corporation #12;#12;W.Va. Consensus Coal Forecast Update 2011 i Table of Contents Executive Summary 1 Recent Developments 3 Consensus Coal Production And Price Forecast

Mohaghegh, Shahab

223

Monthly Energy Review - May 2008  

Gasoline and Diesel Fuel Update (EIA)

5) 5) May 2008 Monthly Energy Review The Monthly Energy Review (MER) is the Energy Information Administration's (EIA) primary report of recent and historical energy statistics. Included are statistics on total energy production, consumption, and trade; energy prices; overviews of petroleum, natural gas, coal, electricity, nuclear energy, renewable energy, and international petroleum; and data unit conversions. Release of the MER is in keeping with responsibilities given to EIA in Public Law 95-91 (Depart- ment of Energy Organization Act), which states, in part, in Section 205(a)(2), that: "The Administrator shall be responsible for carrying out a central, comprehen- sive, and unified energy data and information program which will collect, evalu- ate, assemble, analyze, and disseminate data and information...."

224

Monthly Energy Review - February 2011  

Gasoline and Diesel Fuel Update (EIA)

F e b r u a r y 2 0 1 1 F e b r u a r y 2 0 1 1 D O E / E I A - 0 0 3 5 ( 2 0 1 1 / 0 2 ) Monthly Energy Review The Monthly Energy Review (MER) is the U.S. Energy Information Administration's (EIA) primary report of recent and historical energy statistics. Included are statistics on total energy production, consumption, trade, and energy prices; overviews of petroleum, natural gas, coal, electricity, nuclear energy, renewable energy, and international petroleum; carbon dioxide emissions; and data unit conversions. Release of the MER is in keeping with responsibilities given to EIA in Public Law 95-91 (Depart- ment of Energy Organization Act), which states, in part, in Section 205(a)(2): "The Administrator shall be responsible for carrying out a central, comprehen- sive, and unified energy data and information program which will collect, evalu-

225

Monthly Energy Review - November 2013  

Gasoline and Diesel Fuel Update (EIA)

N F N F N o v e mb e r 2 0 1 3 Mo n t h l y E n e r g y R e v i e w w w w K e i ~ K g o v L me r Monthly Energy Review The Monthly Energy Review (MER) is the U.S. Energy Information Administration's (EIA) primary report of recent and historical energy statistics. Included are statistics on total energy production, consumption, trade, and energy prices; overviews of petroleum, natural gas, coal, electricity, nuclear energy, renewable energy, and international petroleum; carbon dioxide emissions; and data unit conversions. Release of the MER is in keeping with responsibilities given to EIA in Public Law 95-91 (Depart- ment of Energy Organization Act), which states, in part, in Section 205(a)(2): "The Administrator shall be responsible for carrying out a central, comprehen-

226

Monthly Energy Review - July 2008  

Gasoline and Diesel Fuel Update (EIA)

7) 7) Monthly Energy Review The Monthly Energy Review (MER) is the Energy Information Administration's (EIA) primary report of recent and historical energy statistics. Included are statistics on total energy production, consumption, and trade; energy prices; overviews of petroleum, natural gas, coal, electricity, nuclear energy, renewable energy, and international petroleum; and data unit conversions. Release of the MER is in keeping with responsibilities given to EIA in Public Law 95-91 (Depart- ment of Energy Organization Act), which states, in part, in Section 205(a)(2): "The Administrator shall be responsible for carrying out a central, comprehen- sive, and unified energy data and information program which will collect, evalu- ate, assemble, analyze, and disseminate data and information...."

227

Monthly Energy Review - May 2011  

Gasoline and Diesel Fuel Update (EIA)

y 2 0 1 1 y 2 0 1 1 D O E / E I A - 0 0 3 5 ( 2 0 1 1 / 0 5 ) Monthly Energy Review The Monthly Energy Review (MER) is the U.S. Energy Information Administration's (EIA) primary report of recent and historical energy statistics. Included are statistics on total energy production, consumption, trade, and energy prices; overviews of petroleum, natural gas, coal, electricity, nuclear energy, renewable energy, and international petroleum; carbon dioxide emissions; and data unit conversions. Release of the MER is in keeping with responsibilities given to EIA in Public Law 95-91 (Depart- ment of Energy Organization Act), which states, in part, in Section 205(a)(2): "The Administrator shall be responsible for carrying out a central, comprehen- sive, and unified energy data and information program which will collect, evalu-

228

Monthly Energy Review - March 2013  

Gasoline and Diesel Fuel Update (EIA)

P F P F Ma r c h 2 0 1 3 Mo n t h l y E n e r g y R e v i e w w w w K e i ~ K g o v L me r Monthly Energy Review The Monthly Energy Review (MER) is the U.S. Energy Information Administration's (EIA) primary report of recent and historical energy statistics. Included are statistics on total energy production, consumption, trade, and energy prices; overviews of petroleum, natural gas, coal, electricity, nuclear energy, renewable energy, and international petroleum; carbon dioxide emissions; and data unit conversions. Release of the MER is in keeping with responsibilities given to EIA in Public Law 95-91 (Depart- ment of Energy Organization Act), which states, in part, in Section 205(a)(2): "The Administrator shall be responsible for carrying out a central, comprehen-

229

Monthly Energy Review - September 2008  

Gasoline and Diesel Fuel Update (EIA)

9) 9) Monthly Energy Review The Monthly Energy Review (MER) is the Energy Information Administration's (EIA) primary report of recent and historical energy statistics. Included are statistics on total energy production, consumption, and trade; energy prices; overviews of petroleum, natural gas, coal, electricity, nuclear energy, renewable energy, and international petroleum; and data unit conversions. Release of the MER is in keeping with responsibilities given to EIA in Public Law 95-91 (Depart- ment of Energy Organization Act), which states, in part, in Section 205(a)(2): "The Administrator shall be responsible for carrying out a central, comprehen- sive, and unified energy data and information program which will collect, evalu- ate, assemble, analyze, and disseminate data and information...."

230

Monthly Energy Review - December 2011  

Gasoline and Diesel Fuel Update (EIA)

O F O F D e c e mb e r 2 0 1 1 Mo n t h l y E n e r g y R e v i e w w w w K e i ~ K g o v L me r Monthly Energy Review The Monthly Energy Review (MER) is the U.S. Energy Information Administration's (EIA) primary report of recent and historical energy statistics. Included are statistics on total energy production, consumption, trade, and energy prices; overviews of petroleum, natural gas, coal, electricity, nuclear energy, renewable energy, and international petroleum; carbon dioxide emissions; and data unit conversions. Release of the MER is in keeping with responsibilities given to EIA in Public Law 95-91 (Depart- ment of Energy Organization Act), which states, in part, in Section 205(a)(2): "The Administrator shall be responsible for carrying out a central, comprehen-

231

Monthly Energy Review - December 2008  

Gasoline and Diesel Fuel Update (EIA)

2) 2) Monthly Energy Review The Monthly Energy Review (MER) is the Energy Information Administration's (EIA) primary report of recent and historical energy statistics. Included are statistics on total energy production, consumption, and trade; energy prices; overviews of petroleum, natural gas, coal, electricity, nuclear energy, renewable energy, and international petroleum; and data unit conversions. Release of the MER is in keeping with responsibilities given to EIA in Public Law 95-91 (Depart- ment of Energy Organization Act), which states, in part, in Section 205(a)(2): "The Administrator shall be responsible for carrying out a central, comprehen- sive, and unified energy data and information program which will collect, evalu- ate, assemble, analyze, and disseminate data and information...."

232

Monthly Energy Review - November 2008  

Gasoline and Diesel Fuel Update (EIA)

1) 1) Monthly Energy Review The Monthly Energy Review (MER) is the Energy Information Administration's (EIA) primary report of recent and historical energy statistics. Included are statistics on total energy production, consumption, and trade; energy prices; overviews of petroleum, natural gas, coal, electricity, nuclear energy, renewable energy, and international petroleum; and data unit conversions. Release of the MER is in keeping with responsibilities given to EIA in Public Law 95-91 (Depart- ment of Energy Organization Act), which states, in part, in Section 205(a)(2): "The Administrator shall be responsible for carrying out a central, comprehen- sive, and unified energy data and information program which will collect, evalu- ate, assemble, analyze, and disseminate data and information...."

233

Monthly Energy Review - April 2013  

Gasoline and Diesel Fuel Update (EIA)

Q F Q F A p r i l 2 0 1 3 Mo n t h l y E n e r g y R e v i e w w w w K e i ~ K g o v L me r Monthly Energy Review The Monthly Energy Review (MER) is the U.S. Energy Information Administration's (EIA) primary report of recent and historical energy statistics. Included are statistics on total energy production, consumption, trade, and energy prices; overviews of petroleum, natural gas, coal, electricity, nuclear energy, renewable energy, and international petroleum; carbon dioxide emissions; and data unit conversions. Release of the MER is in keeping with responsibilities given to EIA in Public Law 95-91 (Depart- ment of Energy Organization Act), which states, in part, in Section 205(a)(2): "The Administrator shall be responsible for carrying out a central, comprehen-

234

Monthly Energy Review - August 2008  

Gasoline and Diesel Fuel Update (EIA)

8) 8) Monthly Energy Review The Monthly Energy Review (MER) is the Energy Information Administration's (EIA) primary report of recent and historical energy statistics. Included are statistics on total energy production, consumption, and trade; energy prices; overviews of petroleum, natural gas, coal, electricity, nuclear energy, renewable energy, and international petroleum; and data unit conversions. Release of the MER is in keeping with responsibilities given to EIA in Public Law 95-91 (Depart- ment of Energy Organization Act), which states, in part, in Section 205(a)(2): "The Administrator shall be responsible for carrying out a central, comprehen- sive, and unified energy data and information program which will collect, evalu- ate, assemble, analyze, and disseminate data and information...."

235

Monthly Energy Review - July 2013  

Gasoline and Diesel Fuel Update (EIA)

T F T F J u l y 2 0 1 3 Mo n t h l y E n e r g y R e v i e w w w w K e i ~ K g o v L me r Monthly Energy Review The Monthly Energy Review (MER) is the U.S. Energy Information Administration's (EIA) primary report of recent and historical energy statistics. Included are statistics on total energy production, consumption, trade, and energy prices; overviews of petroleum, natural gas, coal, electricity, nuclear energy, renewable energy, and international petroleum; carbon dioxide emissions; and data unit conversions. Release of the MER is in keeping with responsibilities given to EIA in Public Law 95-91 (Depart- ment of Energy Organization Act), which states, in part, in Section 205(a)(2): "The Administrator shall be responsible for carrying out a central, comprehen-

236

Monthly Energy Review - January 2012  

Gasoline and Diesel Fuel Update (EIA)

N F N F J a n u a r y 2 0 1 2 Mo n t h l y E n e r g y R e v i e w w w w K e i ~ K g o v L me r Monthly Energy Review The Monthly Energy Review (MER) is the U.S. Energy Information Administration's (EIA) primary report of recent and historical energy statistics. Included are statistics on total energy production, consumption, trade, and energy prices; overviews of petroleum, natural gas, coal, electricity, nuclear energy, renewable energy, and international petroleum; carbon dioxide emissions; and data unit conversions. Release of the MER is in keeping with responsibilities given to EIA in Public Law 95-91 (Depart- ment of Energy Organization Act), which states, in part, in Section 205(a)(2): "The Administrator shall be responsible for carrying out a central, comprehen-

237

Monthly Energy Review - September 2011  

Gasoline and Diesel Fuel Update (EIA)

V F V F S e p t e mb e r 2 0 1 1 Mo n t h l y E n e r g y R e v i e w w w w K e i ~ K g o v L me r Monthly Energy Review The Monthly Energy Review (MER) is the U.S. Energy Information Administration's (EIA) primary report of recent and historical energy statistics. Included are statistics on total energy production, consumption, trade, and energy prices; overviews of petroleum, natural gas, coal, electricity, nuclear energy, renewable energy, and international petroleum; carbon dioxide emissions; and data unit conversions. Release of the MER is in keeping with responsibilities given to EIA in Public Law 95-91 (Depart- ment of Energy Organization Act), which states, in part, in Section 205(a)(2): "The Administrator shall be responsible for carrying out a central, comprehen-

238

Monthly Energy review - August 2009  

Gasoline and Diesel Fuel Update (EIA)

9 9 August 2009 DOE/EIA-0035(2009/08) Monthly Energy Review The Monthly Energy Review (MER) is the Energy Information Administration's (EIA) primary report of recent and historical energy statistics. Included are statistics on total energy production, consumption, trade, and energy prices; overviews of petroleum, natural gas, coal, electricity, nuclear energy, renewable energy, and international petroleum; carbon dioxide emissions; and data unit conversions. Release of the MER is in keeping with responsibilities given to EIA in Public Law 95-91 (Depart- ment of Energy Organization Act), which states, in part, in Section 205(a)(2): "The Administrator shall be responsible for carrying out a central, comprehen- sive, and unified energy data and information program which will collect, evalu-

239

Monthly Energy Review - July 1999  

Gasoline and Diesel Fuel Update (EIA)

July July 26, 1999 Electronic Access The Monthly Energy Review is available on the Energy Information Administration's website. Go to http://www.eia.doe.gov and click on "Over- view." Data are available in a variety of formats: * ASCII text, Lotus (wk1), and Excel (XLS) versions of the data tables (http://www.eia.doe.gov/emeu/mer/contents.html) * A portable document format (pdf) file of the entire report including text, tables, and graphs (http://www.eia.doe.gov/bookshelf/multi.html) * ASCII comma delimited files (previously available on diskettes) (ftp://ftp.eia.doe.gov/pub/energy.overview/ monthly.energy/current.mer) For information about the Energy Info Disc, call 1-800-STAT-USA. This CD-ROM contains over 200 reports, databases, and models. Timing of Release: MER data are normally released in the afternoon of the third-to-last workday of each

240

Monthly Energy Review - July 2007  

Gasoline and Diesel Fuel Update (EIA)

7 7 DOE/EIA-0035(2007/07) Monthly Energy Review The Monthly Energy Review (MER) is the Energy Information Administration's (EIA) primary report of recent and historical energy statistics. Included are statistics on total energy production, consumption, and trade; energy prices; overviews of petroleum, natural gas, coal, electricity, nuclear energy, renewable energy, and international petroleum; and data unit conversions. Release of the MER is in keeping with responsibilities given to EIA in Public Law 95-91 (Depart- ment of Energy Organization Act), which states, in part, in Section 205(a)(2), that: "The Administrator shall be responsible for carrying out a central, comprehen- sive, and unified energy data and information program which will collect, evalu-

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


241

Monthly Energy Review - August 2011  

Gasoline and Diesel Fuel Update (EIA)

U F U F A u g u s t 2 0 1 1 Mo n t h l y E n e r g y R e v i e w w w w K e i ~ K g o v L me r Monthly Energy Review The Monthly Energy Review (MER) is the U.S. Energy Information Administration's (EIA) primary report of recent and historical energy statistics. Included are statistics on total energy production, consumption, trade, and energy prices; overviews of petroleum, natural gas, coal, electricity, nuclear energy, renewable energy, and international petroleum; carbon dioxide emissions; and data unit conversions. Release of the MER is in keeping with responsibilities given to EIA in Public Law 95-91 (Depart- ment of Energy Organization Act), which states, in part, in Section 205(a)(2): "The Administrator shall be responsible for carrying out a central, comprehen-

242

Monthly Energy Review - January 2009  

Gasoline and Diesel Fuel Update (EIA)

1) 1) Monthly Energy Review The Monthly Energy Review (MER) is the Energy Information Administration's (EIA) primary report of recent and historical energy statistics. Included are statistics on total energy production, consumption, and trade; energy prices; overviews of petroleum, natural gas, coal, electricity, nuclear energy, renewable energy, and international petroleum; and data unit conversions. Release of the MER is in keeping with responsibilities given to EIA in Public Law 95-91 (Depart- ment of Energy Organization Act), which states, in part, in Section 205(a)(2): "The Administrator shall be responsible for carrying out a central, comprehen- sive, and unified energy data and information program which will collect, evalu- ate, assemble, analyze, and disseminate data and information...."

243

Monthly Energy Review - October 2011  

Gasoline and Diesel Fuel Update (EIA)

M F M F Oc t o b e r 2 0 1 1 Mo n t h l y E n e r g y R e v i e w w w w K e i ~ K g o v L me r Monthly Energy Review The Monthly Energy Review (MER) is the U.S. Energy Information Administration's (EIA) primary report of recent and historical energy statistics. Included are statistics on total energy production, consumption, trade, and energy prices; overviews of petroleum, natural gas, coal, electricity, nuclear energy, renewable energy, and international petroleum; carbon dioxide emissions; and data unit conversions. Release of the MER is in keeping with responsibilities given to EIA in Public Law 95-91 (Depart- ment of Energy Organization Act), which states, in part, in Section 205(a)(2): "The Administrator shall be responsible for carrying out a central, comprehen-

244

Monthly Energy Review - June 2013  

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

M S F M S F J u n e 2 0 1 3 Mo n t h l y E n e r g y R e v i e w w w w K e i ~ K g o v L me r Monthly Energy Review The Monthly Energy Review (MER) is the U.S. Energy Information Administration's (EIA) primary report of recent and historical energy statistics. Included are statistics on total energy production, consumption, trade, and energy prices; overviews of petroleum, natural gas, coal, electricity, nuclear energy, renewable energy, and international petroleum; carbon dioxide emissions; and data unit conversions. Release of the MER is in keeping with responsibilities given to EIA in Public Law 95-91 (Depart- ment of Energy Organization Act), which states, in part, in Section 205(a)(2): "The Administrator shall be responsible for carrying out a central, comprehen-

245

Monthly Energy Review, March 1998  

Gasoline and Diesel Fuel Update (EIA)

March March 27, 1998 Electronic Access Monthly Energy Review (MER) data are also avail- able through these electronic means: * ASCII text, Lotus (wk1), and Excel (xls) versions of the MER tables are available through EIA's Internet homepage at: http://www.eia.doe.gov/emeu/mer/con- tents.html * A portable document format (pdf) file of the com- plete MER including text, tables, and graphs can be downloaded via the homepage at: http://www.eia.doe.gov/bookshelf/multi.html * MER data series in ASCII comma delimited file format (previously available on diskettes) can be downloaded via EIA's ftp site at ftp://ftp.eia.doe.gov/pub/energy.over- view/monthly.energy/current.mer * For information about the Energy Info Disc, call 1-800-STAT-USA. This CD-ROM con- tains over 200 reports, databases, and models. Timing of Release: MER data are normally released in the afternoon of the

246

Monthly Energy Review - September 2013  

Gasoline and Diesel Fuel Update (EIA)

V F V F S e p t e mb e r 2 0 1 3 Mo n t h l y E n e r g y R e v i e w w w w K e i ~ K g o v L me r Monthly Energy Review The Monthly Energy Review (MER) is the U.S. Energy Information Administration's (EIA) primary report of recent and historical energy statistics. Included are statistics on total energy production, consumption, trade, and energy prices; overviews of petroleum, natural gas, coal, electricity, nuclear energy, renewable energy, and international petroleum; carbon dioxide emissions; and data unit conversions. Release of the MER is in keeping with responsibilities given to EIA in Public Law 95-91 (Depart- ment of Energy Organization Act), which states, in part, in Section 205(a)(2): "The Administrator shall be responsible for carrying out a central, comprehen-

247

Monthly Energy Review - April 2007  

Gasoline and Diesel Fuel Update (EIA)

7 7 DOE/EIA-0035(2007/04) Monthly Energy Review The Monthly Energy Review (MER) is the Energy Information Administration's (EIA) primary report of recent and historical energy statistics. Included are statistics on total energy production, consumption, and trade; energy prices; overviews of petroleum, natural gas, coal, electricity, nuclear energy, renewable energy, and international petroleum; and data unit conversions. Release of the MER is in keeping with responsibilities given to EIA in Public Law 95-91 (Depart- ment of Energy Organization Act), which states, in part, in Section 205(a)(2), that: "The Administrator shall be responsible for carrying out a central, comprehen- sive, and unified energy data and information program which will collect, evalu-

248

Monthly Energy Review, April 1998  

Gasoline and Diesel Fuel Update (EIA)

April April 28, 1998 Electronic Access Monthly Energy Review (MER) data are also avail- able through these electronic means: * ASCII text, Lotus (wk1), and Excel (xls) versions of the MER tables are available through EIA's Internet homepage at: http://www.eia.doe.gov/emeu/mer/con- tents.html * A portable document format (pdf) file of the com- plete MER including text, tables, and graphs can be downloaded via the homepage at: http://www.eia.doe.gov/bookshelf/multi.html * MER data series in ASCII comma delimited file format (previously available on diskettes) can be downloaded via EIA's ftp site at ftp://ftp.eia.doe.gov/pub/energy.over- view/monthly.energy/current.mer * For information about the Energy Info Disc, call 1-800-STAT-USA. This CD-ROM con- tains over 200 reports, databases, and models. Timing of Release: MER data are normally released in the afternoon of the

249

Monthly Energy Review - Janurary 2011  

Gasoline and Diesel Fuel Update (EIA)

a n u a r y 2 0 1 1 a n u a r y 2 0 1 1 D O E / E I A - 0 0 3 5 ( 2 0 1 1 / 0 1 ) Monthly Energy Review The Monthly Energy Review (MER) is the U.S. Energy Information Administration's (EIA) primary report of recent and historical energy statistics. Included are statistics on total energy production, consumption, trade, and energy prices; overviews of petroleum, natural gas, coal, electricity, nuclear energy, renewable energy, and international petroleum; carbon dioxide emissions; and data unit conversions. Release of the MER is in keeping with responsibilities given to EIA in Public Law 95-91 (Depart- ment of Energy Organization Act), which states, in part, in Section 205(a)(2): "The Administrator shall be responsible for carrying out a central, comprehen- sive, and unified energy data and information program which will collect, evalu-

250

Monthly Energy Review - October 2008  

Gasoline and Diesel Fuel Update (EIA)

0) 0) Monthly Energy Review The Monthly Energy Review (MER) is the Energy Information Administration's (EIA) primary report of recent and historical energy statistics. Included are statistics on total energy production, consumption, and trade; energy prices; overviews of petroleum, natural gas, coal, electricity, nuclear energy, renewable energy, and international petroleum; and data unit conversions. Release of the MER is in keeping with responsibilities given to EIA in Public Law 95-91 (Depart- ment of Energy Organization Act), which states, in part, in Section 205(a)(2): "The Administrator shall be responsible for carrying out a central, comprehen- sive, and unified energy data and information program which will collect, evalu- ate, assemble, analyze, and disseminate data and information...."

251

Monthly Energy Review - March 2007  

Gasoline and Diesel Fuel Update (EIA)

7 7 DOE/EIA-0035(2007/03) Monthly Energy Review The Monthly Energy Review (MER) is the Energy Information Administration's (EIA) primary report of recent and historical energy statistics. Included are statistics on total energy production, consumption, and trade; energy prices; overviews of petroleum, natural gas, coal, electricity, nuclear energy, renewable energy, and international petroleum; and data unit conversions. Release of the MER is in keeping with responsibilities given to EIA in Public Law 95-91 (Depart- ment of Energy Organization Act), which states, in part, in Section 205(a)(2), that: "The Administrator shall be responsible for carrying out a central, comprehen- sive, and unified energy data and information program which will collect, evalu-

252

Monthly Energy Review - July 2011  

Gasoline and Diesel Fuel Update (EIA)

T F T F J u l y 2 0 1 1 Mo n t h l y E n e r g y R e v i e w w w w K e i ~ K g o v L me r Monthly Energy Review The Monthly Energy Review (MER) is the U.S. Energy Information Administration's (EIA) primary report of recent and historical energy statistics. Included are statistics on total energy production, consumption, trade, and energy prices; overviews of petroleum, natural gas, coal, electricity, nuclear energy, renewable energy, and international petroleum; carbon dioxide emissions; and data unit conversions. Release of the MER is in keeping with responsibilities given to EIA in Public Law 95-91 (Depart- ment of Energy Organization Act), which states, in part, in Section 205(a)(2): "The Administrator shall be responsible for carrying out a central, comprehen-

253

Monthly Energy Review, February 1998  

Gasoline and Diesel Fuel Update (EIA)

February February 25, 1998 Electronic Access Monthly Energy Review (MER) data are also avail- able through these electronic means: * ASCII text, Lotus (wk1), and Excel (xls) versions of the MER tables are available through EIA's Internet homepage at: http://www.eia.doe.gov/emeu/mer/con- tents.html * A portable document format (pdf) file of the com- plete MER including text, tables, and graphs can be downloaded via the homepage at: http://www.eia.doe.gov/bookshelf/multi.html * MER data series in ASCII comma delimited file format (previously available on diskettes) can be downloaded via EIA's ftp site at ftp://ftp.eia.doe.gov/pub/energy.over- view/monthly.energy/current.mer * For information about the Energy Info Disc, call 1-800-STAT-USA. This CD-ROM con- tains over 200 reports, databases, and models. Timing of Release: MER data are normally released in the afternoon of

254

Monthly Energy Review - October 2012  

Gasoline and Diesel Fuel Update (EIA)

M F M F Oc t o b e r 2 0 1 2 Mo n t h l y E n e r g y R e v i e w w w w K e i ~ K g o v L me r Monthly Energy Review The Monthly Energy Review (MER) is the U.S. Energy Information Administration's (EIA) primary report of recent and historical energy statistics. Included are statistics on total energy production, consumption, trade, and energy prices; overviews of petroleum, natural gas, coal, electricity, nuclear energy, renewable energy, and international petroleum; carbon dioxide emissions; and data unit conversions. Release of the MER is in keeping with responsibilities given to EIA in Public Law 95-91 (Depart- ment of Energy Organization Act), which states, in part, in Section 205(a)(2): "The Administrator shall be responsible for carrying out a central, comprehen-

255

Monthly Energy Review - August 2010  

Gasoline and Diesel Fuel Update (EIA)

u g u s t 2 0 1 0 u g u s t 2 0 1 0 D O E / E I A - 0 0 3 5 ( 2 0 1 0 / 0 8 ) Monthly Energy Review The Monthly Energy Review (MER) is the U.S. Energy Information Administration's (EIA) primary report of recent and historical energy statistics. Included are statistics on total energy production, consumption, trade, and energy prices; overviews of petroleum, natural gas, coal, electricity, nuclear energy, renewable energy, and international petroleum; carbon dioxide emissions; and data unit conversions. Release of the MER is in keeping with responsibilities given to EIA in Public Law 95-91 (Depart- ment of Energy Organization Act), which states, in part, in Section 205(a)(2): "The Administrator shall be responsible for carrying out a central, comprehen- sive, and unified energy data and information program which will collect, evalu-

256

Monthly Energy Review - May 2013  

Gasoline and Diesel Fuel Update (EIA)

R F R F Ma y 2 0 1 3 Mo n t h l y E n e r g y R e v i e w w w w K e i ~ K g o v L me r Monthly Energy Review The Monthly Energy Review (MER) is the U.S. Energy Information Administration's (EIA) primary report of recent and historical energy statistics. Included are statistics on total energy production, consumption, trade, and energy prices; overviews of petroleum, natural gas, coal, electricity, nuclear energy, renewable energy, and international petroleum; carbon dioxide emissions; and data unit conversions. Release of the MER is in keeping with responsibilities given to EIA in Public Law 95-91 (Depart- ment of Energy Organization Act), which states, in part, in Section 205(a)(2): "The Administrator shall be responsible for carrying out a central, comprehen-

257

Monthly Energy Review, September 1997  

Gasoline and Diesel Fuel Update (EIA)

September September 24, 1997 Electronic Access Monthly Energy Review (MER) data are also available through these electronic means: * ASCII text, Lotus (wk1), and Excel (xls) versions of the MER tables are available through EIA's Internet homepage at: http://www.eia.doe.gov/emeu/mer/contents.html * A portable document format (pdf) file of the complete MER including text, tables, and graphs can be downloaded via the homepage at: http://www.eia.doe.gov/bookshelf/multi.html * MER data series in ASCII comma delimited file format (previously available on diskettes) can be downloaded via EIA's ftp site at ftp://ftp.eia.doe.gov/pub/energy.overview/monthly .energy/current.mer * For information about the Energy Info Disc, call 1-800-STAT-USA. This CD-ROM contains over 200 reports, databases, and models. Timing of Release: MER data are normally released in the afternoon of the

258

Monthly Energy Review - July 2012  

Gasoline and Diesel Fuel Update (EIA)

T F T F J u l y 2 0 1 2 Mo n t h l y E n e r g y R e v i e w w w w K e i ~ K g o v L me r Monthly Energy Review The Monthly Energy Review (MER) is the U.S. Energy Information Administration's (EIA) primary report of recent and historical energy statistics. Included are statistics on total energy production, consumption, trade, and energy prices; overviews of petroleum, natural gas, coal, electricity, nuclear energy, renewable energy, and international petroleum; carbon dioxide emissions; and data unit conversions. Release of the MER is in keeping with responsibilities given to EIA in Public Law 95-91 (Depart- ment of Energy Organization Act), which states, in part, in Section 205(a)(2): "The Administrator shall be responsible for carrying out a central, comprehen-

259

Monthly Energy Review, January 1998  

Gasoline and Diesel Fuel Update (EIA)

January January 27, 1998 Electronic Access Monthly Energy Review (MER) data are also available through these electronic means: * ASCII text, Lotus (wk1), and Excel (xls) versions of the MER tables are available through EIA's Internet homepage at: http://www.eia.doe.gov/emeu/mer/contents.html * A portable document format (pdf) file of the complete MER including text, tables, and graphs can be downloaded via the homepage at: http://www.eia.doe.gov/bookshelf/multi.html * MER data series in ASCII comma delimited file format (previously available on diskettes) can be downloaded via EIA's ftp site at ftp://ftp.eia.doe.gov/pub/energy.overview/monthly .energy/current.mer * For information about the Energy Info Disc, call 1-800-STAT-USA. This CD-ROM contains over 200 reports, databases, and models. Timing of Release: MER data are normally released in the afternoon of the third-from-the-last

260

Monthly Energy Review - April 2012  

Gasoline and Diesel Fuel Update (EIA)

Q F Q F A p r i l 2 0 1 2 Mo n t h l y E n e r g y R e v i e w w w w K e i ~ K g o v L me r Monthly Energy Review The Monthly Energy Review (MER) is the U.S. Energy Information Administration's (EIA) primary report of recent and historical energy statistics. Included are statistics on total energy production, consumption, trade, and energy prices; overviews of petroleum, natural gas, coal, electricity, nuclear energy, renewable energy, and international petroleum; carbon dioxide emissions; and data unit conversions. Release of the MER is in keeping with responsibilities given to EIA in Public Law 95-91 (Depart- ment of Energy Organization Act), which states, in part, in Section 205(a)(2): "The Administrator shall be responsible for carrying out a central, comprehen-

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


261

Monthly Energy Review - August 1999  

Gasoline and Diesel Fuel Update (EIA)

August August 25, 1999 Electronic Access The Monthly Energy Review is available on the Energy Information Administration's website. Go to http://www.eia.doe.gov and click on "Over- view." Data are available in a variety of formats: * ASCII text, Lotus (wk1), and Excel (XLS) versions of the data tables (http://www.eia.doe.gov/emeu/mer/contents.html) * A portable document format (pdf) file of the entire report including text, tables, and graphs (http://www.eia.doe.gov/bookshelf/multi.html) * ASCII comma delimited files (previously available on diskettes) (ftp://ftp.eia.doe.gov/pub/energy.overview/ monthly.energy/current.mer) For information about the Energy Info Disc, call 1-800-STAT-USA. This CD-ROM contains over 200 reports, databases, and models. Timing of Release: MER data are normally released in the afternoon of the third-to-last workday of

262

Monthly Energy Review - February 2012  

Gasoline and Diesel Fuel Update (EIA)

O F O F F e b r u a r y 2 0 1 2 Mo n t h l y E n e r g y R e v i e w w w w K e i ~ K g o v L me r Monthly Energy Review The Monthly Energy Review (MER) is the U.S. Energy Information Administration's (EIA) primary report of recent and historical energy statistics. Included are statistics on total energy production, consumption, trade, and energy prices; overviews of petroleum, natural gas, coal, electricity, nuclear energy, renewable energy, and international petroleum; carbon dioxide emissions; and data unit conversions. Release of the MER is in keeping with responsibilities given to EIA in Public Law 95-91 (Depart- ment of Energy Organization Act), which states, in part, in Section 205(a)(2): "The Administrator shall be responsible for carrying out a central, comprehen-

263

Monthly Energy Review - May 2007  

Gasoline and Diesel Fuel Update (EIA)

7 7 DOE/EIA-0035(2007/05) Monthly Energy Review The Monthly Energy Review (MER) is the Energy Information Administration's (EIA) primary report of recent and historical energy statistics. Included are statistics on total energy production, consumption, and trade; energy prices; overviews of petroleum, natural gas, coal, electricity, nuclear energy, renewable energy, and international petroleum; and data unit conversions. Release of the MER is in keeping with responsibilities given to EIA in Public Law 95-91 (Depart- ment of Energy Organization Act), which states, in part, in Section 205(a)(2), that: "The Administrator shall be responsible for carrying out a central, comprehen- sive, and unified energy data and information program which will collect, evalu-

264

Monthly Energy Review - November 2009  

Gasoline and Diesel Fuel Update (EIA)

09 09 November 2009 DOE/EIA-0035(2009/11) Monthly Energy Review The Monthly Energy Review (MER) is the Energy Information Administration's (EIA) primary report of recent and historical energy statistics. Included are statistics on total energy production, consumption, trade, and energy prices; overviews of petroleum, natural gas, coal, electricity, nuclear energy, renewable energy, and international petroleum; carbon dioxide emissions; and data unit conversions. Release of the MER is in keeping with responsibilities given to EIA in Public Law 95-91 (Depart- ment of Energy Organization Act), which states, in part, in Section 205(a)(2): "The Administrator shall be responsible for carrying out a central, comprehen- sive, and unified energy data and information program which will collect, evalu-

265

Monthly Energy Review - June 2007  

Gasoline and Diesel Fuel Update (EIA)

7 7 DOE/EIA-0035(2007/06) Monthly Energy Review The Monthly Energy Review (MER) is the Energy Information Administration's (EIA) primary report of recent and historical energy statistics. Included are statistics on total energy production, consumption, and trade; energy prices; overviews of petroleum, natural gas, coal, electricity, nuclear energy, renewable energy, and international petroleum; and data unit conversions. Release of the MER is in keeping with responsibilities given to EIA in Public Law 95-91 (Depart- ment of Energy Organization Act), which states, in part, in Section 205(a)(2), that: "The Administrator shall be responsible for carrying out a central, comprehen- sive, and unified energy data and information program which will collect, evalu-

266

Monthly Energy Review - September 2012  

Gasoline and Diesel Fuel Update (EIA)

V F V F S e p t e mb e r 2 0 1 2 Mo n t h l y E n e r g y R e v i e w w w w K e i ~ K g o v L me r Monthly Energy Review The Monthly Energy Review (MER) is the U.S. Energy Information Administration's (EIA) primary report of recent and historical energy statistics. Included are statistics on total energy production, consumption, trade, and energy prices; overviews of petroleum, natural gas, coal, electricity, nuclear energy, renewable energy, and international petroleum; carbon dioxide emissions; and data unit conversions. Release of the MER is in keeping with responsibilities given to EIA in Public Law 95-91 (Depart- ment of Energy Organization Act), which states, in part, in Section 205(a)(2): "The Administrator shall be responsible for carrying out a central, comprehen-

267

Monthly Energy Review - June 2012  

Gasoline and Diesel Fuel Update (EIA)

S F S F J u n e 2 0 1 2 Mo n t h l y E n e r g y R e v i e w w w w K e i ~ K g o v L me r Monthly Energy Review The Monthly Energy Review (MER) is the U.S. Energy Information Administration's (EIA) primary report of recent and historical energy statistics. Included are statistics on total energy production, consumption, trade, and energy prices; overviews of petroleum, natural gas, coal, electricity, nuclear energy, renewable energy, and international petroleum; carbon dioxide emissions; and data unit conversions. Release of the MER is in keeping with responsibilities given to EIA in Public Law 95-91 (Depart- ment of Energy Organization Act), which states, in part, in Section 205(a)(2): "The Administrator shall be responsible for carrying out a central, comprehen-

268

Monthly Energy Review - August 2012  

Gasoline and Diesel Fuel Update (EIA)

U F U F A u g u s t 2 0 1 2 Mo n t h l y E n e r g y R e v i e w w w w K e i ~ K g o v L me r Monthly Energy Review The Monthly Energy Review (MER) is the U.S. Energy Information Administration's (EIA) primary report of recent and historical energy statistics. Included are statistics on total energy production, consumption, trade, and energy prices; overviews of petroleum, natural gas, coal, electricity, nuclear energy, renewable energy, and international petroleum; carbon dioxide emissions; and data unit conversions. Release of the MER is in keeping with responsibilities given to EIA in Public Law 95-91 (Depart- ment of Energy Organization Act), which states, in part, in Section 205(a)(2): "The Administrator shall be responsible for carrying out a central, comprehen-

269

Monthly Energy Review - March 2011  

Gasoline and Diesel Fuel Update (EIA)

r c h 2 0 1 1 r c h 2 0 1 1 D O E / E I A - 0 0 3 5 ( 2 0 1 1 / 0 3 ) Monthly Energy Review The Monthly Energy Review (MER) is the U.S. Energy Information Administration's (EIA) primary report of recent and historical energy statistics. Included are statistics on total energy production, consumption, trade, and energy prices; overviews of petroleum, natural gas, coal, electricity, nuclear energy, renewable energy, and international petroleum; carbon dioxide emissions; and data unit conversions. Release of the MER is in keeping with responsibilities given to EIA in Public Law 95-91 (Depart- ment of Energy Organization Act), which states, in part, in Section 205(a)(2): "The Administrator shall be responsible for carrying out a central, comprehen- sive, and unified energy data and information program which will collect, evalu-

270

Monthly Energy Review - November 2013  

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

N N F N N F N o v e mb e r 2 0 1 3 Mo n t h l y E n e r g y R e v i e w w w w K e i ~ K g o v L me r Monthly Energy Review The Monthly Energy Review (MER) is the U.S. Energy Information Administration's (EIA) primary report of recent and historical energy statistics. Included are statistics on total energy production, consumption, trade, and energy prices; overviews of petroleum, natural gas, coal, electricity, nuclear energy, renewable energy, and international petroleum; carbon dioxide emissions; and data unit conversions. Release of the MER is in keeping with responsibilities given to EIA in Public Law 95-91 (Depart- ment of Energy Organization Act), which states, in part, in Section 205(a)(2): "The Administrator shall be responsible for carrying out a central, comprehen-

271

Monthly Energy review - September 2009  

Gasoline and Diesel Fuel Update (EIA)

9 9 September 2009 DOE/EIA-0035(2009/09) Monthly Energy Review The Monthly Energy Review (MER) is the Energy Information Administration's (EIA) primary report of recent and historical energy statistics. Included are statistics on total energy production, consumption, trade, and energy prices; overviews of petroleum, natural gas, coal, electricity, nuclear energy, renewable energy, and international petroleum; carbon dioxide emissions; and data unit conversions. Release of the MER is in keeping with responsibilities given to EIA in Public Law 95-91 (Depart- ment of Energy Organization Act), which states, in part, in Section 205(a)(2): "The Administrator shall be responsible for carrying out a central, comprehen- sive, and unified energy data and information program which will collect, evalu-

272

Monthly Energy Review - October 2010  

Gasoline and Diesel Fuel Update (EIA)

O c t o b e r 2 0 1 0 O c t o b e r 2 0 1 0 D O E / E I A - 0 0 3 5 ( 2 0 1 0 / 1 0 ) Monthly Energy Review The Monthly Energy Review (MER) is the U.S. Energy Information Administration's (EIA) primary report of recent and historical energy statistics. Included are statistics on total energy production, consumption, trade, and energy prices; overviews of petroleum, natural gas, coal, electricity, nuclear energy, renewable energy, and international petroleum; carbon dioxide emissions; and data unit conversions. Release of the MER is in keeping with responsibilities given to EIA in Public Law 95-91 (Depart- ment of Energy Organization Act), which states, in part, in Section 205(a)(2): "The Administrator shall be responsible for carrying out a central, comprehen- sive, and unified energy data and information program which will collect, evalu-

273

Monthly Energy Review - November 2011  

Gasoline and Diesel Fuel Update (EIA)

N F N F N o v e mb e r 2 0 1 1 Mo n t h l y E n e r g y R e v i e w w w w K e i ~ K g o v L me r Monthly Energy Review The Monthly Energy Review (MER) is the U.S. Energy Information Administration's (EIA) primary report of recent and historical energy statistics. Included are statistics on total energy production, consumption, trade, and energy prices; overviews of petroleum, natural gas, coal, electricity, nuclear energy, renewable energy, and international petroleum; carbon dioxide emissions; and data unit conversions. Release of the MER is in keeping with responsibilities given to EIA in Public Law 95-91 (Depart- ment of Energy Organization Act), which states, in part, in Section 205(a)(2): "The Administrator shall be responsible for carrying out a central, comprehen-

274

Monthly Energy Review - April 2008  

Gasoline and Diesel Fuel Update (EIA)

4) 4) April 2008 Monthly Energy Review The Monthly Energy Review (MER) is the Energy Information Administration's (EIA) primary report of recent and historical energy statistics. Included are statistics on total energy production, consumption, and trade; energy prices; overviews of petroleum, natural gas, coal, electricity, nuclear energy, renewable energy, and international petroleum; and data unit conversions. Release of the MER is in keeping with responsibilities given to EIA in Public Law 95-91 (Depart- ment of Energy Organization Act), which states, in part, in Section 205(a)(2), that: "The Administrator shall be responsible for carrying out a central, comprehen- sive, and unified energy data and information program which will collect, evalu- ate, assemble, analyze, and disseminate data and information...."

275

Monthly Energy Review - June 2011  

Gasoline and Diesel Fuel Update (EIA)

J u n e 2 0 1 1 J u n e 2 0 1 1 D O E / E I A - 0 0 3 5 ( 2 0 1 1 / 0 6 ) Monthly Energy Review The Monthly Energy Review (MER) is the U.S. Energy Information Administration's (EIA) primary report of recent and historical energy statistics. Included are statistics on total energy production, consumption, trade, and energy prices; overviews of petroleum, natural gas, coal, electricity, nuclear energy, renewable energy, and international petroleum; carbon dioxide emissions; and data unit conversions. Release of the MER is in keeping with responsibilities given to EIA in Public Law 95-91 (Depart- ment of Energy Organization Act), which states, in part, in Section 205(a)(2): "The Administrator shall be responsible for carrying out a central, comprehen- sive, and unified energy data and information program which will collect, evalu-

276

Monthly Energy Review - November 2010  

Gasoline and Diesel Fuel Update (EIA)

N o v e mb e r 2 0 1 0 N o v e mb e r 2 0 1 0 D O E / E I A - 0 0 3 5 ( 2 0 1 0 / 1 1 ) Monthly Energy Review The Monthly Energy Review (MER) is the U.S. Energy Information Administration's (EIA) primary report of recent and historical energy statistics. Included are statistics on total energy production, consumption, trade, and energy prices; overviews of petroleum, natural gas, coal, electricity, nuclear energy, renewable energy, and international petroleum; carbon dioxide emissions; and data unit conversions. Release of the MER is in keeping with responsibilities given to EIA in Public Law 95-91 (Depart- ment of Energy Organization Act), which states, in part, in Section 205(a)(2): "The Administrator shall be responsible for carrying out a central, comprehen- sive, and unified energy data and information program which will collect, evalu-

277

Monthly Energy Review, November 1997  

Gasoline and Diesel Fuel Update (EIA)

November November 24, 1997 Electronic Access Monthly Energy Review (MER) data are also available through these electronic means: * ASCII text, Lotus (wk1), and Excel (xls) versions of the MER tables are available through EIA's Internet homepage at: http://www.eia.doe.gov/emeu/mer/contents.html * A portable document format (pdf) file of the complete MER including text, tables, and graphs can be downloaded via the homepage at: http://www.eia.doe.gov/bookshelf/multi.html * MER data series in ASCII comma delimited file format (previously available on diskettes) can be downloaded via EIA's ftp site at ftp://ftp.eia.doe.gov/pub/energy.overview/monthly .energy/current.mer * For information about the Energy Info Disc, call 1-800-STAT-USA. This CD-ROM contains over 200 reports, databases, and models. Timing of Release: MER data are normally released in the afternoon of the third-from-the-last

278

Monthly Energy Review - October 2009  

Gasoline and Diesel Fuel Update (EIA)

October 2009 October 2009 October 2009 DOE/EIA-0035(2009/10) Monthly Energy Review The Monthly Energy Review (MER) is the Energy Information Administration's (EIA) primary report of recent and historical energy statistics. Included are statistics on total energy production, consumption, trade, and energy prices; overviews of petroleum, natural gas, coal, electricity, nuclear energy, renewable energy, and international petroleum; carbon dioxide emissions; and data unit conversions. Release of the MER is in keeping with responsibilities given to EIA in Public Law 95-91 (Depart- ment of Energy Organization Act), which states, in part, in Section 205(a)(2): "The Administrator shall be responsible for carrying out a central, comprehen- sive, and unified energy data and information program which will collect, evalu-

279

Monthly Energy Review - March 2008  

Gasoline and Diesel Fuel Update (EIA)

3) 3) March 2008 Monthly Energy Review The Monthly Energy Review (MER) is the Energy Information Administration's (EIA) primary report of recent and historical energy statistics. Included are statistics on total energy production, consumption, and trade; energy prices; overviews of petroleum, natural gas, coal, electricity, nuclear energy, renewable energy, and international petroleum; and data unit conversions. Release of the MER is in keeping with responsibilities given to EIA in Public Law 95-91 (Depart- ment of Energy Organization Act), which states, in part, in Section 205(a)(2), that: "The Administrator shall be responsible for carrying out a central, comprehen- sive, and unified energy data and information program which will collect, evalu- ate, assemble, analyze, and disseminate data and information...."

280

Monthly Energy Review - September 2010  

Gasoline and Diesel Fuel Update (EIA)

S e p t e mb e r 2 0 1 0 S e p t e mb e r 2 0 1 0 D O E / E I A - 0 0 3 5 ( 2 0 1 0 / 0 9 ) Monthly Energy Review The Monthly Energy Review (MER) is the U.S. Energy Information Administration's (EIA) primary report of recent and historical energy statistics. Included are statistics on total energy production, consumption, trade, and energy prices; overviews of petroleum, natural gas, coal, electricity, nuclear energy, renewable energy, and international petroleum; carbon dioxide emissions; and data unit conversions. Release of the MER is in keeping with responsibilities given to EIA in Public Law 95-91 (Depart- ment of Energy Organization Act), which states, in part, in Section 205(a)(2): "The Administrator shall be responsible for carrying out a central, comprehen-

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


281

Monthly Energy Review - April 2011  

Gasoline and Diesel Fuel Update (EIA)

p r i l 2 0 1 1 p r i l 2 0 1 1 D O E / E I A - 0 0 3 5 ( 2 0 1 1 / 0 4 ) Monthly Energy Review The Monthly Energy Review (MER) is the U.S. Energy Information Administration's (EIA) primary report of recent and historical energy statistics. Included are statistics on total energy production, consumption, trade, and energy prices; overviews of petroleum, natural gas, coal, electricity, nuclear energy, renewable energy, and international petroleum; carbon dioxide emissions; and data unit conversions. Release of the MER is in keeping with responsibilities given to EIA in Public Law 95-91 (Depart- ment of Energy Organization Act), which states, in part, in Section 205(a)(2): "The Administrator shall be responsible for carrying out a central, comprehen- sive, and unified energy data and information program which will collect, evalu-

282

Monthly Energy Review - August 2007  

Gasoline and Diesel Fuel Update (EIA)

Energy Energy Information Administration DOE/EIA-0035(2007/08) August 2007 Monthly Energy Review The Monthly Energy Review (MER) is the Energy Information Administration's (EIA) primary report of recent and historical energy statistics. Included are statistics on total energy production, consumption, and trade; energy prices; overviews of petroleum, natural gas, coal, electricity, nuclear energy, renewable energy, and international petroleum; and data unit conversions. Release of the MER is in keeping with responsibilities given to EIA in Public Law 95-91 (Depart- ment of Energy Organization Act), which states, in part, in Section 205(a)(2), that: "The Administrator shall be responsible for carrying out a central, comprehen- sive, and unified energy data and information program which will collect, evalu-

283

Voluntary Green Power Market Forecast through 2015  

SciTech Connect

Various factors influence the development of the voluntary 'green' power market--the market in which consumers purchase or produce power from non-polluting, renewable energy sources. These factors include climate policies, renewable portfolio standards (RPS), renewable energy prices, consumers' interest in purchasing green power, and utilities' interest in promoting existing programs and in offering new green options. This report presents estimates of voluntary market demand for green power through 2015 that were made using historical data and three scenarios: low-growth, high-growth, and negative-policy impacts. The resulting forecast projects the total voluntary demand for renewable energy in 2015 to range from 63 million MWh annually in the low case scenario to 157 million MWh annually in the high case scenario, representing an approximately 2.5-fold difference. The negative-policy impacts scenario reflects a market size of 24 million MWh. Several key uncertainties affect the results of this forecast, including uncertainties related to growth assumptions, the impacts that policy may have on the market, the price and competitiveness of renewable generation, and the level of interest that utilities have in offering and promoting green power products.

Bird, L.; Holt, E.; Sumner, J.; Kreycik, C.

2010-05-01T23:59:59.000Z

284

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

285

Load Forecasting of Supermarket Refrigeration  

E-Print Network (OSTI)

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

286

Essays on macroeconomics and forecasting  

E-Print Network (OSTI)

explanatory variables. Compared to Stock and Watson (2002)�s models, the models proposed in this chapter can further allow me to select the factors structurally for each variable to be forecasted. I find advantages to using the structural dynamic factor...

Liu, Dandan

2006-10-30T23:59:59.000Z

287

Electric Power Monthly  

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

Other HY Hydroelectric Turbine (including turbines associated with delivery of water by pipeline) BT Turbines Used in a Binary Cycle (including those used for geothermal...

288

Monthly Energy Review The Monthly Energy Review  

Gasoline and Diesel Fuel Update (EIA)

natural gas, natural gas, coal, electricity, and nuclear energy. Also included are international energy and thermal and metric conversion factors. Publication of this report is in keeping with responsibilities given to the Energy Information Administration (EIA) in Public Law 95-91 (Department of Energy Organization Act), which states, in part, in Section 205(a)(2) that: The MER is intended for use by Members of Congress, Federal and State agencies, energy analysts, and the general public. EIA welcomes suggestions from readers regarding data series in the MER and in other EIA publications. Related Publication: Readers of the MER may also be interested in EIA's Annual Energy Review, where many of the same data series are provided annually beginning with 1949. Contact our National Energy Information Center at 202-586-8800 for more information. Timing of Release: MER data

289

Forecasting-based SKU classification  

Science Journals Connector (OSTI)

Different spare parts are associated with different underlying demand patterns, which in turn require different forecasting methods. Consequently, there is a need to categorise stock keeping units (SKUs) and apply the most appropriate methods in each category. For intermittent demands, Croston's method (CRO) is currently regarded as the standard method used in industry to forecast the relevant inventory requirements; this is despite the bias associated with Croston's estimates. A bias adjusted modification to CRO (Syntetos–Boylan Approximation, SBA) has been shown in a number of empirical studies to perform very well and be associated with a very ‘robust’ behaviour. In a 2005 article, entitled ‘On the categorisation of demand patterns’ published by the Journal of the Operational Research Society, Syntetos et al. (2005) suggested a categorisation scheme, which establishes regions of superior forecasting performance between CRO and SBA. The results led to the development of an approximate rule that is expressed in terms of fixed cut-off values for the following two classification criteria: the squared coefficient of variation of the demand sizes and the average inter-demand interval. Kostenko and Hyndman (2006) revisited this issue and suggested an alternative scheme to distinguish between CRO and SBA in order to improve overall forecasting accuracy. Claims were made in terms of the superiority of the proposed approach to the original solution but this issue has never been assessed empirically. This constitutes the main objective of our work. In this paper the above discussed classification solutions are compared by means of experimentation on more than 10,000 \\{SKUs\\} from three different industries. The results enable insights to be gained into the comparative benefits of these approaches. The trade-offs between forecast accuracy and other implementation related considerations are also addressed.

G. Heinecke; A.A. Syntetos; W. Wang

2013-01-01T23:59:59.000Z

290

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

Electricity Monthly Update Explained Electricity Monthly Update Explained Highlights The Highlights page features in the center a short article about a major event or an informative topic. The left column contains bulleted highlights at the top and key indicators in a table and graphics - data you might be interested in at a glance. The right column is used for navigation. End-Use: Retail Rates/Prices and Consumption The second section presents statistics on end-use: retail rates/prices and consumption of electricity. End-use data is the first "data page" based on the assumption that information about retail electricity service is of greatest interest to a general audience. The term rates/prices is used because charges for retail service are based primarily on set rates approved by State regulators. However, a number of

291

Project of the Month  

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

project-of-the-month Office of Environmental project-of-the-month Office of Environmental Management 1000 Independence Ave., SW Washington, DC 20585 202-586-7709 en One-of-a-Kind Facility Now in Safe Shutdown http://energy.gov/em/articles/one-kind-facility-now-safe-shutdown One-of-a-Kind Facility Now in Safe Shutdown

292

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

Electricity Monthly Update Explained Electricity Monthly Update Explained Highlights The Highlights page features in the center a short article about a major event or an informative topic. The left column contains bulleted highlights at the top and key indicators in a table and graphics - data you might be interested in at a glance. The right column is used for navigation. End-Use: Retail Rates/Prices and Consumption The second section presents statistics on end-use: retail rates/prices and consumption of electricity. End-use data is the first "data page" based on the assumption that information about retail electricity service is of greatest interest to a general audience. The term rates/prices is used because charges for retail service are based primarily on set rates approved by State regulators. However, a number of

293

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

Electricity Monthly Update Explained Electricity Monthly Update Explained Highlights The Highlights page features in the center a short article about a major event or an informative topic. The left column contains bulleted highlights at the top and key indicators in a table and graphics - data you might be interested in at a glance. The right column is used for navigation. End-Use: Retail Rates/Prices and Consumption The second section presents statistics on end-use: retail rates/prices and consumption of electricity. End-use data is the first "data page" based on the assumption that information about retail electricity service is of greatest interest to a general audience. The term rates/prices is used because charges for retail service are based primarily on set rates approved by State regulators. However, a number of

294

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

Highlights: March 2012 Highlights: March 2012 Average natural gas prices at the Henry Hub declined for the eighth straight month leading to a nearly 40% increase in consumption for electricity during March 2012. The warmest March on record for much of the central U.S. drove a 5% decrease in residential retail sales when compared to March 2011. U.S. coal supplies as measured by days of burn were above 80 days for the third straight month in March as declining coal consumption drove coal stockpile increases. Key Indicators Mar 2012 % Change from Mar 2011 Total Net Generation (Thousand MWh) 309,709 -2.9% Residential Retail Price (cents/kWh) 11.76 1.5% Retail Sales (Thousand MWh) 282,453 -2.6% Heating Degree-Days 377 -36.4% Natural Gas Price, Henry Hub ($/MMBtu) 2.22 -45.7% Coal Stocks

295

End of Month Working  

Gasoline and Diesel Fuel Update (EIA)

The level of gas in storage at the end of the last heating season (March The level of gas in storage at the end of the last heating season (March 31, 2000) was 1,150 billion cubic feet (Bcf), just above the 1995-1999 average of 1,139 Bcf. Underground working gas storage levels are currently about 8-9 percent below year-ago levels. In large part, this is because injection rates since April 1 have been below average. Storage injections picked up recently due to warm weather in the last half of October. The month of November is generally the last month available in the year for injections into storage. A cold November would curtail net injections into storage. If net injections continue at average levels this winter, we project that storage levels will be low all winter, reaching a level of 818 Bcf at the end of March, the lowest level since 1996

296

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

March 2012 | Release Date: May 29, 2012 | Next March 2012 | Release Date: May 29, 2012 | Next Release Date: June 26, 2012 | Re-Release Date: November 28, 2012 (correction) Previous Issues Issue: November 2013 October 2013 September 2013 August 2013 July 2013 June 2013 May 2013 April 2013 March 2013 February 2013 January 2013 December 2012 November 2012 Previous issues Format: html xls Go Highlights: March 2012 Average natural gas prices at the Henry Hub declined for the eighth straight month leading to a nearly 40% increase in consumption for electricity during March 2012. The warmest March on record for much of the central U.S. drove a 5% decrease in residential retail sales when compared to March 2011. U.S. coal supplies as measured by days of burn were above 80 days for the third straight month in March as declining coal consumption drove

297

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

Electricity Monthly Update Explained Electricity Monthly Update Explained Highlights The Highlights page features in the center a short article about a major event or an informative topic. The left column contains bulleted highlights at the top and key indicators in a table and graphics - data you might be interested in at a glance. The right column is used for navigation. End-Use: Retail Rates/Prices and Consumption The second section presents statistics on end-use: retail rates/prices and consumption of electricity. End-use data is the first "data page" based on the assumption that information about retail electricity service is of greatest interest to a general audience. The term rates/prices is used because charges for retail service are based primarily on set rates approved by State regulators. However, a number of

298

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

Electric Power Sector Coal Stocks: February 2012 Electric Power Sector Coal Stocks: February 2012 Stocks The unseasonably warm temperatures that the continental United States experienced throughout the winter, coupled with low natural gas prices, caused coal stocks at power plants to increase throughout the winter of 2011 - 2012. During this period, coal stocks usually see a seasonal decline due to the added need for electricity generation from coal plants for spacing heating load. However, it was the sixth straight month that coal stocks increased from the previous month, with this trend likely to continue as the country enters into spring. Days of Burn Days of burn Coal capacity The average number of days of burn held at electric power plants is a forward looking estimate of coal supply given a power plant's current

299

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

Electricity Monthly Update Explained Electricity Monthly Update Explained Highlights The Highlights page features in the center a short article about a major event or an informative topic. The left column contains bulleted highlights at the top and key indicators in a table and graphics - data you might be interested in at a glance. The right column is used for navigation. End-Use: Retail Rates/Prices and Consumption The second section presents statistics on end-use: retail rates/prices and consumption of electricity. End-use data is the first "data page" based on the assumption that information about retail electricity service is of greatest interest to a general audience. The term rates/prices is used because charges for retail service are based primarily on set rates approved by State regulators. However, a number of

300

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

Electricity Monthly Update Explained Electricity Monthly Update Explained Highlights The Highlights page features in the center a short article about a major event or an informative topic. The left column contains bulleted highlights at the top and key indicators in a table and graphics - data you might be interested in at a glance. The right column is used for navigation. End-Use: Retail Rates/Prices and Consumption The second section presents statistics on end-use: retail rates/prices and consumption of electricity. End-use data is the first "data page" based on the assumption that information about retail electricity service is of greatest interest to a general audience. The term rates/prices is used because charges for retail service are based primarily on set rates approved by State regulators. However, a number of

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


301

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

Electricity Monthly Update Explained Electricity Monthly Update Explained Highlights The Highlights page features in the center a short article about a major event or an informative topic. The left column contains bulleted highlights at the top and key indicators in a table and graphics - data you might be interested in at a glance. The right column is used for navigation. End-Use: Retail Rates/Prices and Consumption The second section presents statistics on end-use: retail rates/prices and consumption of electricity. End-use data is the first "data page" based on the assumption that information about retail electricity service is of greatest interest to a general audience. The term rates/prices is used because charges for retail service are based primarily on set rates approved by State regulators. However, a number of

302

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

Electricity Monthly Update Explained Electricity Monthly Update Explained Highlights The Highlights page features in the center a short article about a major event or an informative topic. The left column contains bulleted highlights at the top and key indicators in a table and graphics - data you might be interested in at a glance. The right column is used for navigation. End-Use: Retail Rates/Prices and Consumption The second section presents statistics on end-use: retail rates/prices and consumption of electricity. End-use data is the first "data page" based on the assumption that information about retail electricity service is of greatest interest to a general audience. The term rates/prices is used because charges for retail service are based primarily on set rates approved by State regulators. However, a number of

303

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

Regional Wholesale Markets: September 2011 Regional Wholesale Markets: September 2011 The United States. has many regional wholesale electricity markets. Below we look at monthly and annual ranges of on-peak, daily wholesale prices at selected pricing locations and daily peak demand for selected electricity systems in the U.S. The range of daily price and demand data is shown for the month of September 2011 and for the year ending on September 30, 2011. Prices and demand are shown for six Regional Transmission Operator (RTO) markets: ISO New England (ISO-NE), New York ISO (NYISO), PJM Interconnection (PJM), Midwest ISO (MISO), Electric Reliability Council of Texas (ERCOT), and California ISO (CAISO). Also shown are wholesale prices at trading hubs in Louisiana (into Entergy), Southwest (Palo Verde) and

304

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

Electricity Monthly Update Explained Electricity Monthly Update Explained Highlights The Highlights page features in the center a short article about a major event or an informative topic. The left column contains bulleted highlights at the top and key indicators in a table and graphics - data you might be interested in at a glance. The right column is used for navigation. End-Use: Retail Rates/Prices and Consumption The second section presents statistics on end-use: retail rates/prices and consumption of electricity. End-use data is the first "data page" based on the assumption that information about retail electricity service is of greatest interest to a general audience. The term rates/prices is used because charges for retail service are based primarily on set rates approved by State regulators. However, a number of

305

Petroleum Marketing Monthly Archives  

Gasoline and Diesel Fuel Update (EIA)

Petroleum Marketing Monthly Archives Petroleum Marketing Monthly Archives Choose the year of the Petroleum Marketing Monthly you wish to view. + EXPAND ALL 2014-2015 2014 2015 Data ending January 10/2013 2012-2013 2012 2013 Data ending January 10/2011 January 10/2012 February 11/2011 February 11/2012 March 12/2011 March 12/2012 April 1/2012 April 1/2013 May 2/2012 May 2/2013 June 3/2012 June 3/2013 July 4/2012 July 4/2013 August 5/2012 August 5/2013 September 6/2012 September 6/2013 October 7/2012 October 7/2013 November 8/2012 November 8/2013 December 9/2012 December 9/2013 2010 - 2011 2010 2011 Data ending Data ending January 10/2009 January 10/2010 February 11/2009 February 11/2010 March 12/2009 March 12/2010 April 1/2010 April 1/2011 May 2/2010 May 2/2011

306

Monthly Energy Review - January 2001  

Gasoline and Diesel Fuel Update (EIA)

January January 2001 www.eia.doe.gov Energy Information Administration On the Web at: www.eia.doe.gov/mer E n e r g y P l u g : E n e r g y E d u c a t i o n R e s o u r c e s M o r e o n R e n e w a b l e E n e r g y ( S e e N e w A p p e n d i x E ) Monthly Energy Review The Monthly Energy Review (MER) presents an overview of the Energy Information Administration's recent monthly energy statistics. The statistics cover the major activities of U.S. production, consumption, trade, stocks, and prices for petroleum, natural gas, coal, electricity, and nuclear energy. Also included are international energy and ther- mal and metric conversion factors. Publication of this report is in keeping with responsibilities given to the Energy Information Administration (EIA) in Public Law 95-91 (Department of Energy Organization Act), which states, in part, in Section 205(a)(2), that: The MER is intended for use by Members of Congress, Federal

307

Monthly Energy Review - March 2002  

Gasoline and Diesel Fuel Update (EIA)

2 2 E n e r g y P l u g : L i g h t T r u c k C A F E S t a n d a r d s Monthly Energy Review The Monthly Energy Review (MER) presents an overview of the Energy Information Administration's recent monthly energy statis- tics. The statistics cover the major activities of U.S. production, consumption, trade, stocks, and prices for petroleum, natural gas, coal, electricity, and nuclear energy. Also included are interna- tional energy and thermal and metric conversion factors. Publication of this report is in keeping with responsibilities given to the Energy Information Administration (EIA) in Public Law 95-91 (Department of Energy Organization Act), which states, in part, in Section 205(a)(2), that: The MER is intended for use by Members of Congress, Federal and State agencies, energy analysts, and the general public. EIA welcomes suggestions from readers regarding data series in the MER and in other

308

Monthly Energy Review - June 2002  

Gasoline and Diesel Fuel Update (EIA)

2 2 E n e r g y P l u g s : C o n s u m p t i o n P r o j e c t i o n s b y I n d u s t r y U r a n i u m I n d u s t r y A n n u a l 2 0 0 1 Monthly Energy Review The Monthly Energy Review (MER) presents an overview of the Energy Information Administration's recent monthly energy statis- tics. The statistics cover the major activities of U.S. production, consumption, trade, stocks, and prices for petroleum, natural gas, coal, electricity, and nuclear energy. Also included are interna- tional energy and thermal and metric conversion factors. Publication of this report is in keeping with responsibilities given to the Energy Information Administration (EIA) in Public Law 95-91 (Department of Energy Organization Act), which states, in part, in Section 205(a)(2), that: The MER is intended for use by Members of Congress, Federal and State agencies, energy analysts, and the general public. EIA welcomes suggestions from

309

Monthly Energy Review - May 2002  

Gasoline and Diesel Fuel Update (EIA)

2 2 E n e r g y P l u g s : W e e k l y G a s S t o r a g e I n t e r n a t i o n a l E n e r g y A n n u a l Monthly Energy Review The Monthly Energy Review (MER) presents an overview of the Energy Information Administration's recent monthly energy statis- tics. The statistics cover the major activities of U.S. production, consumption, trade, stocks, and prices for petroleum, natural gas, coal, electricity, and nuclear energy. Also included are interna- tional energy and thermal and metric conversion factors. Publication of this report is in keeping with responsibilities given to the Energy Information Administration (EIA) in Public Law 95-91 (Department of Energy Organization Act), which states, in part, in Section 205(a)(2), that: The MER is intended for use by Members of Congress, Federal and State agencies, energy analysts, and the general public. EIA welcomes suggestions from readers regarding data

310

Monthly Energy Review - July 2002  

Gasoline and Diesel Fuel Update (EIA)

2 2 E n e r g y P l u g s : B i o m a s s f o r E l e c t r i c i t y M e a s u r i n g E f f i c i e n c y Monthly Energy Review The Monthly Energy Review (MER) presents an overview of the Energy Information Administration's recent monthly energy statis- tics. The statistics cover the major activities of U.S. production, consumption, trade, stocks, and prices for petroleum, natural gas, coal, electricity, and nuclear energy. Also included are interna- tional energy and thermal and metric conversion factors. Publication of this report is in keeping with responsibilities given to the Energy Information Administration (EIA) in Public Law 95-91 (Department of Energy Organization Act), which states, in part, in Section 205(a)(2), that: The MER is intended for use by Members of Congress, Federal and State agencies, energy analysts, and the general public. EIA welcomes suggestions from readers regarding data series

311

Monthly Energy Review - April 2002  

Gasoline and Diesel Fuel Update (EIA)

2 2 E n e r g y P l u g s : M o t o r G a s o l i n e O u t l o o k I n t e r n a t i o n a l E n e r g y O u t l o o k Monthly Energy Review The Monthly Energy Review (MER) presents an overview of the Energy Information Administration's recent monthly energy statis- tics. The statistics cover the major activities of U.S. production, consumption, trade, stocks, and prices for petroleum, natural gas, coal, electricity, and nuclear energy. Also included are interna- tional energy and thermal and metric conversion factors. Publication of this report is in keeping with responsibilities given to the Energy Information Administration (EIA) in Public Law 95-91 (Department of Energy Organization Act), which states, in part, in Section 205(a)(2), that: The MER is intended for use by Members of Congress, Federal and State agencies, energy analysts, and the general public. EIA welcomes suggestions from readers regarding

312

Monthly Energy Review - January 2002  

Gasoline and Diesel Fuel Update (EIA)

2 2 E n e r g y P l u g : P e r f o r m a n c e P r o f i l e s 2 0 0 0 Monthly Energy Review The Monthly Energy Review (MER) presents an overview of the Energy Information Administration's recent monthly energy statis- tics. The statistics cover the major activities of U.S. production, consumption, trade, stocks, and prices for petroleum, natural gas, coal, electricity, and nuclear energy. Also included are interna- tional energy and thermal and metric conversion factors. Publication of this report is in keeping with responsibilities given to the Energy Information Administration (EIA) in Public Law 95-91 (Department of Energy Organization Act), which states, in part, in Section 205(a)(2), that: The MER is intended for use by Members of Congress, Federal and State agencies, energy analysts, and the general public. EIA welcomes suggestions from readers regarding data series in the MER and in other

313

Monthly Energy Review - August 2002  

Gasoline and Diesel Fuel Update (EIA)

2 2 E n e r g y P l u g s : F o r e i g n D i r e c t I n v e s t m e n t N a t u r a l G a s P r i c e s Monthly Energy Review The Monthly Energy Review (MER) presents an overview of the Energy Information Administration's recent monthly energy statis- tics. The statistics cover the major activities of U.S. production, consumption, trade, stocks, and prices for petroleum, natural gas, coal, electricity, and nuclear energy. Also included are interna- tional energy and thermal and metric conversion factors. Publication of this report is in keeping with responsibilities given to the Energy Information Administration (EIA) in Public Law 95-91 (Department of Energy Organization Act), which states, in part, in Section 205(a)(2), that: The MER is intended for use by Members of Congress, Federal and State agencies, energy analysts, and the general public. EIA welcomes suggestions from readers regarding data series

314

Review of Variable Generation Forecasting in the West: July 2013 - March 2014  

SciTech Connect

This report interviews 13 operating entities (OEs) in the Western Interconnection about their implementation of wind and solar forecasting. The report updates and expands upon one issued by NREL in 2012. As in the 2012 report, the OEs interviewed vary in size and character; the group includes independent system operators, balancing authorities, utilities, and other entities. Respondents' advice for other utilities includes starting sooner rather than later as it can take time to plan, prepare, and train a forecast; setting realistic expectations; using multiple forecasts; and incorporating several performance metrics.

Widiss, R.; Porter, K.

2014-03-01T23:59:59.000Z

315

Petroleum marketing monthly, May 1992  

SciTech Connect

The Petroleum Marketing Monthly (PMM) is designed to give information and statistical data about a variety of crude oils and refined petroleum products. The publication provides statistics on crude oil costs and refined petroleum products sales for use by industry, government, private sector analysts, educational institutions, and consumers. Data on crude oil include the domestic first purchase price, the f.o.b. and landed cost of imported crude oil, and the refiner`s acquisition cost of crude oil. Sales data for motor gasoline, distillates, residuals, aviation fuels, kerosene, and propane are presented.

Not Available

1992-05-19T23:59:59.000Z

316

Petroleum marketing monthly, August 1992  

SciTech Connect

The Petroleum Marketing Monthly is designed to give information and statistical data about a variety of crude oils and refined petroleum products. The publication provides statistics on crude oil costs and refined petroleum products sales for use by industry, government, private sector analysts, educational institutions, and consumers. Data on crude oil include the domestic first purchase price, the f.o. b. and landed cost of imported crude oil, and the refiners` acquisition cost of crude oil. Sales data for motor gasoline, distillates, residuals, aviation fuels, kerosene, and propane are presented.

Not Available

1992-08-10T23:59:59.000Z

317

Petroleum marketing monthly, July 1992  

SciTech Connect

The Petroleum Marketing Monthly (PMM) is designed to give information and statistical data about a variety of crude oils and refined petroleum products. The publication provides statistics on crude oil costs and refined petroleum products sales for use by industry, government, private sector analysts, educational institutions, and consumers. Data on crude oil include the domestic first purchase price, the f.o.b. and landed cost of imported crude oil, and the refiners` acquistion cost of crude oil. Sales data for motor gasoline, distillates, residuals, aviation fuels, kerosene, and propane are presented.

Not Available

1992-07-09T23:59:59.000Z

318

Petroleum marketing monthly, February 1992  

SciTech Connect

The Petroleum Marketing Monthly (PMM) is designed to given information and statistical data about a variety of crude oils and refined petroleum products. The publications provides statistics on crude oil costs and refined petroleum product sales for use by industry, government, private sector analysts, educational institutions, and consumers. Data on crude oil include the domestic first purchase price, the f.o.b. and landed cost of imported crude oil, and the refiners` acquisition cost of crude oil. Sales data for motor gasoline, distillates, residuals, aviation fuels, kerosene, and propane are presented.

Not Available

1992-02-11T23:59:59.000Z

319

Petroleum marketing monthly, April 1992  

SciTech Connect

The Petroleum Marketing Monthly (PMM) is designed to give information and statistical data about a variety of crude oils and refined petroleum products. The publication provides statistics on crude oil costs and refined petroleum products sales for use by industry, government, private sector analysts, educational institutions, and consumers. Data on crude oil include the domestic first purchase price, the f.o.b. and landed cost of imported crude oil, and the refiners` acquisition cost of crude oil. Sales data for motor gasoline, distillates, residuals, aviation fuels, kerosene, and propane are presented.

Not Available

1992-04-16T23:59:59.000Z

320

Petroleum marketing monthly, June 1992  

SciTech Connect

The Petroleum Marketing Monthly (PMM) is designed to give information and statistical data about a variety of crude oils and refined petroleum products. The publication provides statistics on crude oil costs and refined petroleum products sales for use by industry, government, private sector analysts, educational institutions, and consumers. Data on crude oil include the domestic first purchase price, the f.o.b. and landed cost of imported crude oil, and the refiners` acquisition cost of crude oil. Sales data for motor gasoline, distillates, residuals, aviation fuels, kerosene, and propane are presented.

Not Available

1992-06-08T23:59:59.000Z

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


321

Petroleum marketing monthly, January 1992  

SciTech Connect

The Petroleum Marketing Monthly (PMM) is designed to give information and statistical data about a variety of crude oils and refined petroleum products. The publication provides statistics on crude oil costs and refined petroleum products sales for use by industry, government, private sector analysts, educational institutions, and consumers. Data on crude oil include the domestic first purchase price, the f.o.b. and landed cost of imported crude oil, and the refiners` acquisition cost of crude oil. Sales data for motor gasoline, distillates, residuals, aviation fuels, kerosene, and propane are presented.

Not Available

1992-01-15T23:59:59.000Z

322

Monthly energy review, September 1997  

SciTech Connect

This publication presents an overview of the Energy Information Administration`s recent monthly energy statistics. The statistics cover the major activities of U.S. production, consumption, trade, stocks, and prices for petroleum, natural gas, coal, electricity, and nuclear energy. Information is also provided on international energy, including petroleum production, consumption, and stocks and nuclear electricity gross generation. This issues provides a brief industry overview and a detailed analysis of the spring 1996 gasoline price runup, crude oil supply issues, U.S. crude oil imports, petroleum stocks, futures markets, refining cash margin trends, and the financial performance of U.S. refining and marketing firms. 37 figs., 73 tabs.

NONE

1997-09-01T23:59:59.000Z

323

Forecasting the S&P 500 index using time series analysis and simulation methods  

E-Print Network (OSTI)

The S&P 500 represents a diverse pool of securities in addition to Large Caps. A range of audiences are interested in the S&P 500 forecasts including investors, speculators, economists, government and researchers. The ...

Chan, Eric Glenn

2009-01-01T23:59:59.000Z

324

Monthly News Blast: February 2013  

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

In the February 2013 Monthly News Blast, read about recent blog posts, the monthly staff spotlight video, upcoming events, and more.

325

Impact of large scale circulation on European summer surface ozone and consequences for modelling forecast  

E-Print Network (OSTI)

of using day-to-day varying chemical boundary conditions produced by a global chemical weather forecast platform instead of climatological monthly means at the frontiers of a regional model. We performed two- transport models (CTMs) that represent physical and chemical processes controlling ozone concentrations

Menut, Laurent

326

Monthly Energy Review - June 2008  

Gasoline and Diesel Fuel Update (EIA)

Monthly Publications: Other monthly EIA reports are Petroleum Supply Monthly Publications: Other monthly EIA reports are Petroleum Supply Monthly, Petroleum Marketing Monthly, Natural Gas Monthly, Electric Power Monthly, and Inter- national Petroleum Monthly. For more information, contact the National Energy Information Center at 202-586-8800 or InfoCtr@eia.doe.gov. Electronic Access The MER is available on EIA's Web site in a variety of formats at: http://www.eia.doe.gov/mer. Complete MER, and individual MER sections: Portable Document Format (PDF) files. Individual table and graph pages: PDF files. Data files for individual tables: Excel (XLS) files and ASCII comma-delimited (CSV) files. Note: PDF files display selected annual and monthly data. Excel and CSV files display all avail- able annual and monthly data, often at a greater level of precision than the PDF files.

327

Petroleum Supply Monthly  

Gasoline and Diesel Fuel Update (EIA)

December 2011 December 2011 February 2012 Energy Information Administration/Petroleum Supply Monthly, ii December 2011 EIA DATA ARE AVAILABLE IN ELECTRONIC FORM All current EIA publications are available on the EIA web site. Users can view and download selected pages or entire reports, search for information, download EIA data and analysis applications, and find out about new EIA information products and services: World Wide Web: http://www.eia.doe.gov FTP: ftp://ftp.eia.doe.gov Customers who do not have access to the Internet may call the National Energy Information Center (NEIC) to request a single print-

328

Petroleum Supply Monthly  

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

With Data for September 2013 With Data for September 2013 November 2013 Energy Information Administration/Petroleum Supply Monthly, ii September 2013 EIA DATA ARE AVAILABLE IN ELECTRONIC FORM All current EIA publications are available on the EIA web site. Users can view and download selected pages or entire reports, search for information, download EIA data and analysis applications, and find out about new EIA information products and services: World Wide Web: http://www.eia.doe.gov FTP: ftp://ftp.eia.doe.gov Customers who do not have access to the Internet may call the National Energy Information Center (NEIC) to request a single print-

329

Electric Power Monthly, June 1988  

SciTech Connect

The data in this report are presented for a wide audience including Congress, Federal and State agencies, the electric utility industry, and the general public. The Energy Information Administration (EIA) collected the information in this report to fulfill its data collection and dissemination responsibilities as specified in the Federal Energy Administration Act of 1974 (Public Law 93-275) as amended. The Electric Power Monthly contains information from three data sources: the Form EIA-759, 'Monthly Power Plant Report'; the Federal Energy Regulatory Commission (FERC) Form 423, 'Monthly Report of Cost and Quality of Fuels for Electric Plants{sup ;} and the Form EIA-826, {sup M}onthly Electric Sales and Revenue Report with State Distributions'. The Form EIA-759 collects data from all operators of electric utility generating plants (except those having plants solely on standby), approximately 800 of the more than 3,200 electric utilities in the United States. To reduce the reporting burden for utilities, the FERC Form 423 and Form EIA-826 data are based on samples, which cover less than 100 percent of all central station generating utilities. The FERC Form 423 collects data from steam-electric power generating plants with a combined installed nameplate capacity of 50 megawatts or larger (approximately 230 electric utilities). The 50-megawatt threshold was established by FERC. The Form EIA-826 collects sales and revenue data in the residential, commercial, industrial, and other sectors of the economy. Other sales data collected include public street and highway lighting, other sales to public authorities, sales to railroads and railways, and interdepartmental sales. Respondents to the Form EIA-826 were statistically chosen and include approximately 225 privately and publicly owned electric utilities from a universe of more than 3,200 utilities. The sample selection for the Form EIA-826 is evaluated annually. Currently, the Form EIA-826 data account for approximately 83 percent of the electricity sales in the United States. Sources of data are described in more detail in the Technical Notes of the Electric Power Annual (DOE/EIA-0348).

NONE

1988-06-15T23:59:59.000Z

330

Forecasting wind speed financial return  

E-Print Network (OSTI)

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

D'Amico, Guglielmo; Prattico, Flavio

2013-01-01T23:59:59.000Z

331

National Energy Awareness Month | Department of Energy  

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

National Energy Awareness Month National Energy Awareness Month National Energy Awareness Month October 4, 2010 - 2:12pm Addthis Niketa Kumar Niketa Kumar Public Affairs Specialist, Office of Public Affairs October is National Energy Awareness Month, and amid anticipations of costumes and candy, this month offers a chance to talk about our country's energy security and its clean energy future. There are numerous opportunities for learning about and joining in this national effort, including weatherizing homes, purchasing energy efficient appliances and investing in renewable energy solutions. Already, the Recovery Act has made a $90 billion investment in clean energy technologies from batteries and biofuels to carbon capture and sequestration technologies and a smarter electrical grid. The Department of

332

Petroleum supply monthly, August 1993  

SciTech Connect

This publication the Petroleum Supply Monthly (PSM) is one of a family of four publications produced by the Petroleum Supply Division within the Energy Information Administration (EIA) reflecting different levels of data timeliness and completeness. The other publications are the Weekly Petroleum Status Report, (WPSR), the Winter Fuels Report, and the Petroleum Supply Annual (PSA). Data presented describe the supply and disposition of petroleum products in the United States and major US geographic regions. The data series describe production, imports and exports, inter-Petroleum Administration for Defense (PAD) District movements, and inventories by the primary suppliers of petroleum products in the United States (50 States and the District of Columbia). The reporting universe includes those petroleum sectors in primary supply. Included are: petroleum refiners, motor gasoline blenders, operators of natural gas processing plants and fractionators, inter-PAD transporters, importers, and major inventory holders of petroleum products and crude oil. Data presented are divided into Summary Statistics and Detailed Statistics.

Not Available

1993-09-01T23:59:59.000Z

333

Petroleum supply monthly, August 1994  

SciTech Connect

Data presented in the Petroleum Supply Monthly (PSM) describe the supply and disposition of petroleum products in the United States and major US geographic regions. The data series describe production, imports and exports, inter-Petroleum Administration for Defense (PAD) District movements, and inventories by the primary suppliers of petroleum products in the United States (50 States and the District of Columbia). The reporting universe includes those petroleum sectors in primary supply. Included are: petroleum refiners, motor gasoline blenders, operators of natural gas processing plants and fractionators, inter-PAD transporters, importers, and major inventory holders of petroleum products and crude oil. When aggregated, the data reported by these sectors approximately represent the consumption of petroleum products in the United States. Data presented in the PSM are divided into two sections: Summary Statistics and Detailed Statistics.

Not Available

1994-08-26T23:59:59.000Z

334

Data transforms with exponential smoothing methods of forecasting  

Science Journals Connector (OSTI)

Abstract In this paper, transforms are used with exponential smoothing, in the quest for better forecasts. Two types of transforms are explored: those which are applied to a time series directly, and those which are applied indirectly to the prediction errors. The various transforms are tested on a large number of time series from the M3 competition, and ANOVA is applied to the results. We find that the non-transformed time series is significantly worse than some transforms on the monthly data, and on a distribution-based performance measure for both annual and quarterly data.

Adrian N. Beaumont

2014-01-01T23:59:59.000Z

335

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

fuel type. Generator type categories include: Fossil Steam: Steam turbines powered by the combustion of fossil fuels Combined Cycle: Combined cycle generation powered by natural...

336

Petroleum Marketing Monthly  

Reports and Publications (EIA)

Provides information and statistical data on a variety of crude oils and refined petroleum products, including statistics on crude oil costs and refined petroleum products sales.

2014-01-01T23:59:59.000Z

337

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

January 2012 | Release Date: Mar. 27, January 2012 | Release Date: Mar. 27, 2012 | Next Release Date: Apr. 27, 2012 | Re-Release Date: November 28, 2012 (correction) Previous Issues Issue: November 2013 October 2013 September 2013 August 2013 July 2013 June 2013 May 2013 April 2013 March 2013 February 2013 January 2013 December 2012 November 2012 Previous issues Format: html xls Go Highlights: January 2012 Warm temperatures across much of the U.S. led to lower retail sales of electricity during January 2012. Coal-fired generation decreased in every region of the United States when compared to January 2011. Coal stocks recovered due to decreased consumption this January compared to the same month of 2011. Key Indicators Jan 2012 % Change from Jan. 2011 Total Net Generation (Thousand MWh) 340,743 -6.4%

338

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

Highlights: January 2012 Highlights: January 2012 Warm temperatures across much of the U.S. led to lower retail sales of electricity during January 2012. Coal-fired generation decreased in every region of the United States when compared to January 2011. Coal stocks recovered due to decreased consumption this January compared to the same month of 2011. Key Indicators Jan 2012 % Change from Jan. 2011 Total Net Generation (Thousand MWh) 340,743 -6.4% Residential Retail Price (cents/kWh) 11.43 4.4% Retail Sales (Thousand MWh) 310,859 -6.5% Heating Degree-Days 751 -21.4% Natural Gas Price, Henry Hub ($/MMBtu) 2.75 -40.3% Coal Stocks (Thousand Tons) 181,621 10.2% Coal Consumption (Thousand Tons) 70,595 -21.7% Natural Gas Consumption (Mcf) 676,045 19.9% Nuclear Outages (MW) 9,567 2.1%

339

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

Electric Power Sector Coal Stocks: December 2011 Electric Power Sector Coal Stocks: December 2011 Stocks Temperate weather throughout the fall has allowed electric power sector coal stocks to replenish from the summer burn. All coal stockpile levels were essentially flat when compared to December 2010 and were a mostly up year-to-date. Days of Burn Days of burn Coal capacity The average number of days of burn held at electric power plants is a forward looking estimate of coal supply given a power plantâ€(tm)s current stockpile and past consumption patterns. The average number of days of burn held on hand at electric power plants was essentially flat compared to last month and remained below levels seen in December of 2010 or 2009. While stockpile levels have recovered from summer lows, the increasing

340

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

August 2011 | Release Date: October 25, August 2011 | Release Date: October 25, 2011 | Next Release Date: November 21, 2011 Previous Issues Issue: November 2013 October 2013 September 2013 August 2013 July 2013 June 2013 May 2013 April 2013 March 2013 February 2013 January 2013 December 2012 November 2012 Previous issues Format: html xls Go Highlights: August 2011 Extreme heat in Texas, New Mexico, Colorado and Arizona drove significant increases in the retail sales of electricity in the Southwest. Wind generation increased in much of the United States, except the middle of the country where total generation declined. Bituminous coal stocks dropped 14% from August 2010. Key indicators Same Month 2010 Year to date Total Net Generation -1% 11% Residential Retail Price -6% 11% Cooling Degree-Days -3% 2%

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


341

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

Coal Stocks: August 2011 Coal Stocks: August 2011 Stocks Coal stocks continued the usual summer decline as utilities burned into their summer stockpile in August. Sigificant declines from August 2010 were seen in total coal stockpiles, driven by a 14 percent drop in bituminous coal stockpiles as well as a 10 percent drop in subbituminous coal stockpiles. Lignite stockpiles declined by 6 percent over the same time period. Days of burn The average number of days of burn held at electric power plants is a forward looking estimate of coal supply given a power plant's current stockpile and past consumption patterns. The average number of days of burn held on hand at electric power plants increased slightly in August 2011 compared to previous months. This was largely driven by increases in

342

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

Electric Power Sector Coal Stocks: September 2011 Electric Power Sector Coal Stocks: September 2011 Stocks Electric power sector coal stocks continued to replenish after the summer burn in October, though stockpile levels remain well below 2010 levels. All coal stockpile levels declined from October 2010, with bituminous coal stockpile levels 12 percent lower than the same month of 2010. Days of Burn Days of burn Coal capacity The average number of days of burn held at electric power plants is a forward looking estimate of coal supply given a power plant's current stockpile and past consumption patterns. The average number of days of burn held on hand at electric power plants was generally flat in October 2011 compared to September of this year. The summer of 2011 saw significant declines in total U.S. stockpile levels, which were replenished in the

343

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

Electricity Reports Electricity Reports Electricity Monthly Update With Data for October 2013 | Release Date: Dec. 20, 2013 | Next Release Date: Jan. 22, 2014 Previous Issues Issue: November 2013 October 2013 September 2013 August 2013 July 2013 June 2013 May 2013 April 2013 March 2013 February 2013 January 2013 December 2012 November 2012 Previous issues Format: html xls Go Highlights: October 2013 Thirty-one states saw the average cost of electricity increase by more than two percent, with fourteen states experiencing increases of at least five percent compared to a year ago. Texas (ERCOT) and the Midwest (MISO) experienced above average wholesale electricity prices for October due to unseasonable temperatures. The New York City (Transco Zone 6 NY) natural gas price was

344

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

Highlights: August 2011 Highlights: August 2011 Extreme heat in Texas, New Mexico, Colorado and Arizona drove significant increases in the retail sales of electricity in the Southwest. Wind generation increased in much of the United States, except the middle of the country where total generation declined. Bituminous coal stocks dropped 14% from August 2010. Key indicators Same Month 2010 Year to date Total Net Generation -1% 11% Residential Retail Price -6% 11% Cooling Degree-Days -3% 2% Natural Gas Price, Henry Hub -6% -9% Bituminous Coal Stocks -14% -14% Subbituminous Coal Stocks -10% -17% Heat wave drives record demand and wholesale prices in Texas A prolonged August heat wave in Texas stressed available generating capacity and produced very high wholesale prices in the Electric

345

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

SciTech Connect

This report contains the results from research aimed at improving short-range (0-6 hour) hub-height wind forecasts in the NOAA weather forecast models through additional data assimilation and model physics improvements for use in wind energy forecasting. Additional meteorological observing platforms including wind profilers, sodars, and surface stations were deployed for this study by NOAA and DOE, and additional meteorological data at or near wind turbine hub height were provided by South Dakota State University and WindLogics/NextEra Energy Resources over a large geographical area in the U.S. Northern Plains for assimilation into NOAA research weather forecast models. The resulting improvements in wind energy forecasts based on the research weather forecast models (with the additional data assimilation and model physics improvements) were examined in many different ways and compared with wind energy forecasts based on the current operational weather forecast models to quantify the forecast improvements important to power grid system operators and wind plant owners/operators participating in energy markets. Two operational weather forecast models (OP_RUC, OP_RAP) and two research weather forecast models (ESRL_RAP, HRRR) were used as the base wind forecasts for generating several different wind power forecasts for the NextEra Energy wind plants in the study area. Power forecasts were generated from the wind forecasts in a variety of ways, from very simple to quite sophisticated, as they might be used by a wide range of both general users and commercial wind energy forecast vendors. The error characteristics of each of these types of forecasts were examined and quantified using bulk error statistics for both the local wind plant and the system aggregate forecasts. The wind power forecast accuracy was also evaluated separately for high-impact wind energy ramp events. The overall bulk error statistics calculated over the first six hours of the forecasts at both the individual wind plant and at the system-wide aggregate level over the one year study period showed that the research weather model-based power forecasts (all types) had lower overall error rates than the current operational weather model-based power forecasts, both at the individual wind plant level and at the system aggregate level. The bulk error statistics of the various model-based power forecasts were also calculated by season and model runtime/forecast hour as power system operations are more sensitive to wind energy forecast errors during certain times of year and certain times of day. The results showed that there were significant differences in seasonal forecast errors between the various model-based power forecasts. The results from the analysis of the various wind power forecast errors by model runtime and forecast hour showed that the forecast errors were largest during the times of day that have increased significance to power system operators (the overnight hours and the morning/evening boundary layer transition periods), but the research weather model-based power forecasts showed improvement over the operational weather model-based power forecasts at these times. A comprehensive analysis of wind energy forecast errors for the various model-based power forecasts was presented for a suite of wind energy ramp definitions. The results compiled over the year-long study period showed that the power forecasts based on the research models (ESRL_RAP, HRRR) more accurately predict wind energy ramp events than the current operational forecast models, both at the system aggregate level and at the local wind plant level. At the system level, the ESRL_RAP-based forecasts most accurately predict both the total number of ramp events and the occurrence of the events themselves, but the HRRR-based forecasts more accurately predict the ramp rate. At the individual site level, the HRRR-based forecasts most accurately predicted the actual ramp occurrence, the total number of ramps and the ramp rates (40-60% improvement in ramp rates over the coarser resolution forecast

Finley, Cathy [WindLogics

2014-04-30T23:59:59.000Z

346

Weather Forecast Data an Important Input into Building Management Systems  

E-Print Network (OSTI)

Lewis Poulin Implementation and Operational Services Section Canadian Meteorological Centre, Dorval, Qc National Prediction Operations Division ICEBO 2013, Montreal, Qc October 10 2013 Version 2013-09-27 Weather Forecast Data An Important... and weather information ? Numerical weather forecast production 101 ? From deterministic to probabilistic forecasts ? Some MSC weather forecast (NWP) datasets ? Finding the appropriate data for the appropriate forecast ? Preparing for probabilistic...

Poulin, L.

2013-01-01T23:59:59.000Z

347

BMA Probabilistic Quantitative Precipitation Forecasting over the Huaihe Basin Using TIGGE Multimodel Ensemble Forecasts  

Science Journals Connector (OSTI)

Bayesian model averaging (BMA) probability quantitative precipitation forecast (PQPF) models were established by calibrating their parameters using 1–7-day ensemble forecasts of 24-h accumulated precipitation, and observations from 43 ...

Jianguo Liu; Zhenghui Xie

2014-04-01T23:59:59.000Z

348

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

Science Journals Connector (OSTI)

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

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

2010-01-01T23:59:59.000Z

349

Agency datasets monthly list | Data.gov  

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

June 2013 USCIS FOIA LOG This is a monthly dataset of Freedom of Information Act/Privacy Act (FOIA/PA) requests received and processed by the US Citizen and Immigration Services (USCIS) during the month. Each record in the dataset is associated with a FOIA request. It includes the case control number, requester name, document scanned date, and request subject. DHS USCIS Information and Communications 2013-09-12 13:59:47 June 2013 USCIS FOIA LOG This is a monthly dataset of Freedom of Information Act/Privacy Act (FOIA/PA) requests received and processed by the US Citizen and Immigration Services (USCIS) during the month. Each record in the dataset is associated with a FOIA request. It includes the case control number, requester name, document scanned date, and request subject. DHS USCIS Information and Communications 2013-09-12 13:59:47 July 2013 USCIS FOIA LOG This is a monthly dataset of Freedom of Information Act/Privacy Act (FOIA/PA) requests received and processed by the US Citizen and Immigration Services (USCIS) during the month. Each record in the dataset is associated with a FOIA request. It includes the case control number, requester name, document scanned date, and request subject. DHS Information and Communications 2013-09-12 13:59:47

350

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.

351

Funding Opportunity Announcement for Wind Forecasting Improvement...  

Office of Environmental Management (EM)

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

352

Upcoming Funding Opportunity for Wind Forecasting Improvement...  

Office of Environmental Management (EM)

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

353

Huge market forecast for linear LDPE  

Science Journals Connector (OSTI)

Huge market forecast for linear LDPE ... It now appears that the success of the new technology, which rests largely on energy and equipment cost savings, could be overwhelming. ...

1980-08-25T23:59:59.000Z

354

Petroleum Supply Monthly  

Gasoline and Diesel Fuel Update (EIA)

or pipeline. Tertiary inventories are held by end users and include fuel in vehicle tanks, heating oil in residential tanks, fuel oil held by utilities, jet fuel stored in...

355

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

E-Print Network (OSTI)

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

356

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

SciTech Connect

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

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

2014-04-30T23:59:59.000Z

357

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

358

Optimal combined wind power forecasts using exogeneous variables  

E-Print Network (OSTI)

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

359

Ensemble typhoon quantitative precipitation forecasts model in Taiwan  

Science Journals Connector (OSTI)

In this study, an ensemble typhoon quantitative precipitation forecast (ETQPF) model was developed to provide typhoon rainfall forecasts for Taiwan. The ETQPF rainfall forecast is obtained by averaging the pick-out cases, which are screened at a ...

Jing-Shan Hong; Chin-Tzu Fong; Ling-Feng Hsiao; Yi-Chiang Yu; Chian-You Tzeng

360

Monthly Energy Review - January 2007  

Gasoline and Diesel Fuel Update (EIA)

publications: Other monthly EIA reports are Petroleum Supply Monthly, Petroleum publications: Other monthly EIA reports are Petroleum Supply Monthly, Petroleum Marketing Monthly, Natural Gas Monthly, Electric Power Monthly, and International Petroleum Monthly. Readers of the MER may also be interested in EIA's Annual Energy Review, where many of the same data series are provided annually beginning with 1949. For more information, contact the National Energy Information Center at 202-586-8800 or InfoCtr@eia.doe.gov. Electronic Access The MER is available on EIA's Web site in a variety of formats at: http://www.eia.doe.gov/mer. Complete MER, and individual MER sections: Portable Document Format (PDF) files. Individual table and graph pages: PDF files. Data files for individual tables: Excel (XLS) files and ASCII comma-delimited (CSV) files.

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


361

National Safety Month- June 2013  

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

National Safety Month is recognized by employers, employees, and safety and health professionals throughout the country. During the month of June, HSS provided information, activities, and events pertaining to weekly themes.

362

Monthly News Blast: March 2013  

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

In the March 2013 Monthly News Blast, read about two upcoming webinars, two recently announced BETO events, recent blog posts, the monthly staff spotlight video, upcoming events, and more.

363

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

SciTech Connect

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

364

Monthly Project Bulletin: July 2012  

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

This document contains the Guidelines for Home Energy Professionals Project bulletin for the month of July 2012.

365

Monthly Project Bulletin: August 2012  

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

This document contains the Guidelines for Home Energy Professionals Project bulletin for the month of August 2012.

366

Monthly Project Bulletin: October 2012  

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

This document contains the Guidelines for Home Energy Professionals Project bulletin for the month of September 2012.

367

Monthly Project Bulletin: April 2012  

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

This document contains the Guidelines for Home Energy Professionals Project bulletin for the month of April 2012.

368

Monthly Project Bulletin: June 2012  

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

This document contains the Guidelines for Home Energy Professionals Project bulletin for the month of June 2012.

369

Monthly Project Bulletin: May 2012  

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

This document contains the Guidelines for Home Energy Professionals Project bulletin for the month of May 2012.

370

Monthly Project Bulletin: September 2012  

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

This document contains the Guidelines for Home Energy Professionals Project bulletin for the month of September 2012.

371

April 2013 Monthly News Blast  

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

The monthly news blast for April 2013 highlights the Project Peer Review, upcoming events, BETO blog posts, and more.

372

New Concepts in Wind Power Forecasting Models  

E-Print Network (OSTI)

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

Kemner, Ken

373

QUIKSCAT MEASUREMENTS AND ECMWF WIND FORECASTS  

E-Print Network (OSTI)

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

Malmberg, Anders

374

QUIKSCAT MEASUREMENTS AND ECMWF WIND FORECASTS  

E-Print Network (OSTI)

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

Malmberg, Anders

375

PROBLEMS OF FORECAST1 Dmitry KUCHARAVY  

E-Print Network (OSTI)

: Technology Forecast, Laws of Technical systems evolution, Analysis of Contradictions. 1. Introduction Let us: If technology forecasting practice remains at the present level, it is necessary to significantly improve to new demands (like Green House Gases - GHG Effect reduction or covering exploded nuclear reactor

Paris-Sud XI, Université de

376

UHERO FORECAST PROJECT DECEMBER 5, 2014  

E-Print Network (OSTI)

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

377

Amending Numerical Weather Prediction forecasts using GPS  

E-Print Network (OSTI)

. Satellite images and Numerical Weather Prediction (NWP) models are used together with the synoptic surfaceAmending Numerical Weather Prediction forecasts using GPS Integrated Water Vapour: a case study to validate the amounts of humidity in Numerical Weather Prediction (NWP) model forecasts. This paper presents

Stoffelen, Ad

378

A Forecasting Support System Based on Exponential Smoothing  

Science Journals Connector (OSTI)

This chapter presents a forecasting support system based on the exponential smoothing scheme to forecast time-series data. Exponential smoothing methods are simple to apply, which facilitates...

Ana Corberán-Vallet; José D. Bermúdez; José V. Segura…

2010-01-01T23:59:59.000Z

379

ANL Software Improves Wind Power Forecasting | Department of...  

Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

principal investigator for the project. For wind power point forecasting, ARGUS PRIMA trains a neural network using data from weather forecasts, observations, and actual wind...

380

Improved Prediction of Runway Usage for Noise Forecast :.  

E-Print Network (OSTI)

??The research deals with improved prediction of runway usage for noise forecast. Since the accuracy of the noise forecast depends on the robustness of runway… (more)

Dhanasekaran, D.

2014-01-01T23:59:59.000Z

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


381

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

Energy Savers (EERE)

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

382

PBL FY 2002 Third Quarter Review Forecast of Generation Accumulated...  

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

Power Business Line Generation Accumulated Net Revenues Forecast for Financial-Based Cost Recovery Adjustment Clause (FB CRAC) FY 2002 Third Quarter Review Forecast in Millions...

383

Where can I find free economic forecasts? Economic forecasts have become an integral part of business and individual investment decisions. Economic  

E-Print Network (OSTI)

, the Conference Board provides short term (quarterly and annual) forecasts for real GDP, real consumer spending include (among others): GDP and real GDP, price indices for GDP and consumer spending, unemployment are projections of economic activity including GDP growth. These reports can be found on-line at: http

Johnson, Eric E.

384

Electric Power Monthly - Monthly Data Tables | OpenEI  

Open Energy Info (EERE)

Power Monthly - Monthly Data Tables Power Monthly - Monthly Data Tables Dataset Summary Description Monthly electricity generation figures (and the fuel consumed to produce it). Source information available at EIA. Source EIA Date Released July 20th, 2010 (4 years ago) Date Updated July 20th, 2010 (4 years ago) Keywords consumption EIA Electricity Electricity Consumption Electricity Generation Data application/vnd.ms-excel icon generation_state_mon.xls (xls, 32.5 MiB) application/vnd.ms-excel icon consumption_state_mon.xls (xls, 14.7 MiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage Frequency Monthly Time Period License License Other or unspecified, see optional comment below Comment Work of the U.S. Federal Government Rate this dataset Usefulness of the metadata

385

Average monthly gasoline price to fall to $3.43 by September  

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

monthly gasoline price to fall to $3.43 by September monthly gasoline price to fall to $3.43 by September The U.S. average monthly retail price of gasoline is expected to decline by about 18 cents per gallon between May and September, according to the new forecast from the U.S. Energy Information Administration. The lower price reflects, in part, slightly lower crude oil prices that account for about two-thirds of the cost at the pump. The largest price drops are expected in the Midwest states as refineries serving that region, which had been down for planned and unplanned maintenance, return to operation. For the year as a whole, the annual average retail gasoline price is forecasted to decline from $3.63 a gallon last year to $3.49 a gallon this year...and then drop to $3.37 per gallon in 2014

386

Petroleum supply monthly, September 1991  

SciTech Connect

The Petroleum Supply Monthly (PSM) is one of a family of three publications produced by the Petroleum Supply Division within the Energy Information Administration (EIA) reflecting different levels of data timeliness and completeness. The other two publications are the Weekly Petroleum Status Report (WPSR) and the Petroleum Supply Annual (PSA). Data presented in PSM describe the supply and disposition of petroleum products in the United States and major US geographic regions. The data series describe production, imports and exports, inter-Petroleum Administrations for Defense (PAD) District movements, and inventories by the primary suppliers of petroleum products in the United States (50 states and the District of Columbia). The reporting universe includes those petroleum sectors in Primary Supply. Included are: petroleum refiners, motor gasoline blenders, operators of natural gas processing plants and fractionators, inter-PAD transporters, importers, and major inventory holders of petroleum products and crude oil. When aggregated, the data reported by these sectors approximately represent the consumption of petroleum products in the United States. Data presented in the PSM are divided into two sections (1) the Summary Statistics and (2) the Detailed Statistics. 65 tabs.

Not Available

1991-09-30T23:59:59.000Z

387

Petroleum supply monthly, October 1993  

SciTech Connect

The Petroleum Supply Monthly (PSM) is one of a family of four publications produced by the Petroleum Supply Division within the Energy Information Administration (EIA) reflecting different levels of data timeliness and completeness. The other publications are the Weekly Petroleum Status Report (WPSR), the Winter Fuels Report, and the Petroleum Supply Annual (PSA). Data presented in the PSM describe the supply and disposition of petroleum products in the United States and major US geographic regions. The data series describe production, imports and exports, inter-Petroleum Administration for Defense (PAD) District movements, and inventories by the primary suppliers of petroleum products in the United States (50 States and the District of Columbia). The reporting universe includes those petroleum sectors in primary supply. Included are: petroleum refiners, motor gasoline blenders, operators of natural gas processing plants and fractionators, inter-PAD transporters, importers, and major inventory holders of petroleum products and crude oil. When aggregated, the data reported by these sectors approximately represent the consumption of petroleum products in the United States. Data presented in the PSM are divided into two sections: Summary Statistics and Detailed Statistics.

Not Available

1993-10-26T23:59:59.000Z

388

Petroleum Supply Monthly, August 1990  

SciTech Connect

The Petroleum Supply Monthly (PSM) is one of a family of three publications produced by the Petroleum Supply Division within the Energy Information administration (EIA) reflecting different levels of data timeliness and completeness. The other two publications are the Weekly Petroleum Status Report (WPSR) and the Petroleum Supply Annual (PSA). Data presented in the PSM describe the supply and disposition of petroleum products in the United States and major US geographic regions. The data series describe production, imports and exports, inter-Petroleum Administration for Defense (PAD) district movements, and inventories by the primary suppliers of petroleum products in the United States (50 States and the District of Columbia). The reporting universe includes those petroleum sectors in Primary Supply. Included are: petroleum refiners, motor gasoline blenders, operators of natural gas processing plants and fractionators, inter-PAD transporters, importers, and major inventory holders of petroleum products and crude oil. When aggregated, the data reported by these sectors approximately represent the consumption of petroleum products in the United States. Data presented in the PSM are divided into two sections (1) the Summary Statistics and (2) the Detailed Statistics.

Not Available

1990-10-30T23:59:59.000Z

389

Monthly Energy Review - Energy Information Administration  

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

Monthly Energy Review Monthly Energy Review November 2013 PDF | previous editions Release Date: November 25, 2013 Next Update: December 24, 2013 A publication of recent energy statistics. This publication includes total energy production, consumption, and trade; energy prices; overviews of petroleum, natural gas, coal, electricity, nuclear energy, renewable energy, and international petroleum; carbon dioxide emissions; and data unit conversion values. EIA has expanded Sections 1 through 10 and Appendix A of the Monthly Energy Review (MER) to incorporate annual data as far back as 1949 in those data tables that are published in both the Annual Energy Review 2011 and MER. Similar revisions are pending for Section 12. Where available, Excel and CSV files now include pre-1973 data. For tables

390

PNNL-Weather Research and Forecasting (WRF)-Chem Modeling in Mexico | Open  

Open Energy Info (EERE)

Weather Research and Forecasting (WRF)-Chem Modeling in Mexico Weather Research and Forecasting (WRF)-Chem Modeling in Mexico Jump to: navigation, search Name PNNL-Weather Research and Forecasting (WRF)-Chem Modeling in Mexico Agency/Company /Organization Pacific Northwest National Laboratory Sector Energy Topics Co-benefits assessment, - Environmental and Biodiversity, - Health, Background analysis Resource Type Publications Website http://www.pnl.gov/atmospheric Country Mexico UN Region Latin America and the Caribbean References PNNL-Weather Research and Forecasting (WRF)-Chem Modeling in Mexico[1] PNNL Publications on WRF-Chem modeling in Mexico include: Fast JD, M Shrivastava, RA Zaveri, and JC. Barnard. 2010. "Modeling particulates and direct radiative forcing from urban to synoptic scales downwind of Mexico City." Annual European Geosciences Union Assembly,

391

A study of outliers in the exponential smoothing approach to forecasting  

Science Journals Connector (OSTI)

Outliers in time series have the potential to affect parameter estimates and forecasts when using exponential smoothing. The aim of this study is to show the way in which important types of outliers can be incorporated into linear innovations state space models for exponential smoothing methods. The types of outliers include an additive outlier, a level shift, and a transitory change. The general innovations state space model and a special case which encompasses the common linear exponential smoothing methods are examined. A method for identifying outliers using innovations state space models is proposed. This method is investigated using both simulations and applications to real time series. The impact of an outlier’s location on the forecasts and the estimation of parameters is examined. The forecasts from outlier and basic non-outlier models are compared. An automatic method is found to result in improved forecasts for both the simulated and real data.

Anne B. Koehler; Ralph D. Snyder; J. Keith Ord; Adrian Beaumont

2012-01-01T23:59:59.000Z

392

Petroleum Supply Monthly  

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

8 8 September 2013 Table 55. Stocks of Crude Oil and Petroleum Products by PAD District, September 2013 (Thousand Barrels) Commodity PAD Districts U.S. Total 1 2 3 4 5 Crude Oil ....................................................................... 10,326 102,610 882,207 19,287 52,719 1,067,149 Refinery ...................................................................... 8,139 12,920 44,531 2,484 22,704 90,778 Tank Farms and Pipelines (Includes Cushing, OK) .... 2,033 84,878 122,497 12,956 26,534 248,898 Cushing, Oklahoma ................................................ - 33,017 - - - 33,017 Leases ........................................................................ 154 4,812 19,210 3,847 678 28,701 Strategic Petroleum Reserve 1 .................................... - - 695,969 - - 695,969 Alaskan In Transit

393

Month Day Year  

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

Mr. Michael Kido Mr. Michael Kido U.S. Department of Energy Office of the General Counsel 1000 Independence Avenue SW. Washington, DC, 20585-0121 January 8, 2013 Michael, The following, in accordance with the Federal Register requirements for Ex Parte communications with staff from the US Department of Energy, will serve to document our recent meeting. On December 27, I was contacted by Ms. Ashley Armstrong, U.S. Department of Energy, Office of Energy Efficiency and Renewable Energy, Building Technologies Program and asked if I would be willing to meet with her and certain US DOE staff to discuss UL's "different testing and certification offerings as they relate to electric motors". I agreed and the agenda was subsequently solidified to include:

394

Irradiation Processing Department monthly report, June 1962  

SciTech Connect

This document details activities of the Irradiation Processing Department during the month of June, 1962. A general summary is included at the start of the report, after which the report is divided into the following sections: Research and Engineering Operations; Production and Reactor Operations; Facilities Engineering Operation; and NPR Project.

Not Available

1992-07-13T23:59:59.000Z

395

Prompt-Month Energy Futures  

Gasoline and Diesel Fuel Update (EIA)

Prompt-Month Energy Futures Prompt-Month Energy Futures Prices and trading activity shown are for prompt-month (see definition below) futures contracts for the energy commodities listed in the table below. Note that trading for prompt-month futures contracts ends on different dates at the end of the month for the various commodities; therefore, some commodity prices may reference delivery for the next month sooner than other commodity prices. Product Description Listed With Crude Oil ($/barrel) West Texas Intermediate (WTI) light sweet crude oil delivered to Cushing, Oklahoma More details | Contract specifications New York Mercantile Exchange (Nymex) Gasoline-RBOB ($/gallon) Reformulated gasoline blendstock for oxygenate blending (RBOB) gasoline delivered to New York Harbor More details | Contract specifications Nymex

396

Windpower Monthly | Open Energy Information  

Open Energy Info (EERE)

energy Product: Windpower Monthly is a energy news magazine. It features articles on political, industrial, environmental and technical developments in the global wind energy...

397

Natural gas monthly, August 1995  

SciTech Connect

The Natural Gas Monthly (NGM) highlights activities, events, and analyses of interest to public and private sector organizations associated with the natural gas industry. Volume and price data are presented each month for natural gas production, distribution, consumption, and interstate pipeline activities. Producer-related activities and underground storage data are also reported. From time to time, the NGM features articles designed to assist readers in using and interpreting natural gas information. This month`s feature article is on US Natural Gas Imports and Exports 1994.

NONE

1995-08-24T23:59:59.000Z

398

Monthly News Blast: January 2013  

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

In the January 2013 Monthly News Blast, read about two new funding opportunities, the latest MYPP update, upcoming events, and more.

399

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

SciTech Connect

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

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

2013-10-01T23:59:59.000Z

400

PSO (FU 2101) Ensemble-forecasts for wind power  

E-Print Network (OSTI)

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

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


401

Forecasting Uncertainty Related to Ramps of Wind Power Production  

E-Print Network (OSTI)

Forecasting Uncertainty Related to Ramps of Wind Power Production Arthur Bossavy, Robin Girard - The continuous improvement of the accuracy of wind power forecasts is motivated by the increasing wind power study. Key words : wind power forecast, ramps, phase er- rors, forecasts ensemble. 1 Introduction Most

Boyer, Edmond

402

The effect of multinationality on management earnings forecasts  

E-Print Network (OSTI)

and number of countries withforeign subsidiaries) are significantly positively related to more optimistic management earnings forecasts....

Runyan, Bruce Wayne

2005-08-29T23:59:59.000Z

403

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

SciTech Connect

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

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

2011-10-01T23:59:59.000Z

404

Prediction of Indian summer monsoon onset using dynamical sub-seasonal forecasts: effects of realistic initialization of the atmosphere  

Science Journals Connector (OSTI)

Ensembles of retrospective 2-months dynamical forecasts initiated May 1st are used to predict the onset of the Indian Summer Monsoon (ISM) for the period 1989-2005. The Sub-Seasonal Predictions (SSPs) are based on a Coupled General Circulation ...

Andrea Alessandri; Andrea Borrelli; Annalisa Cherchi; Stefano Materia; Antonio Navarra; June-Yi Lee; Bin Wang

405

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

E-Print Network (OSTI)

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

Mathiesen, Patrick James

2013-01-01T23:59:59.000Z

406

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

E-Print Network (OSTI)

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

Mathiesen, Patrick James

2013-01-01T23:59:59.000Z

407

Winter wheat yield forecasting in Ukraine based on Earth observation, meteorological data and biophysical models  

Science Journals Connector (OSTI)

Ukraine is one of the most developed agriculture countries and one of the biggest crop producers in the world. Timely and accurate crop yield forecasts for Ukraine at regional level become a key element in providing support to policy makers in food security. In this paper, feasibility and relative efficiency of using moderate resolution satellite data to winter wheat forecasting in Ukraine at oblast level is assessed. Oblast is a sub-national administrative unit that corresponds to the NUTS2 level of the Nomenclature of Territorial Units for Statistics (NUTS) of the European Union. NDVI values were derived from the MODIS sensor at the 250 m spatial resolution. For each oblast NDVI values were averaged for a cropland map (Rainfed croplands class) derived from the ESA GlobCover map, and were used as predictors in the regression models. Using a leave-one-out cross-validation procedure, the best time for making reliable yield forecasts in terms of root mean square error was identified. For most oblasts, NDVI values taken in April–May provided the minimum RMSE value when comparing to the official statistics, thus enabling forecasts 2–3 months prior to harvest. The NDVI-based approach was compared to the following approaches: empirical model based on meteorological observations (with forecasts in April–May that provide minimum RMSE value) and WOFOST crop growth simulation model implemented in the CGMS system (with forecasts in June that provide minimum RMSE value). All three approaches were run to produce winter wheat yield forecasts for independent datasets for 2010 and 2011, i.e. on data that were not used within model calibration process. The most accurate predictions for 2010 were achieved using the CGMS system with the RMSE value of 0.3 t ha?1 in June and 0.4 t ha?1 in April, while performance of three approaches for 2011 was almost the same (0.5–0.6 t ha?1 in April). Both NDVI-based approach and CGMS system overestimated winter wheat yield comparing to official statistics in 2010, and underestimated it in 2011. Therefore, we can conclude that performance of empirical NDVI-based regression model was similar to meteorological and CGMS models when producing winter wheat yield forecasts at oblast level in Ukraine 2–3 months prior to harvest, while providing minimum requirements to input datasets.

Felix Kogan; Nataliia Kussul; Tatiana Adamenko; Sergii Skakun; Oleksii Kravchenko; Oleksii Kryvobok; Andrii Shelestov; Andrii Kolotii; Olga Kussul; Alla Lavrenyuk

2013-01-01T23:59:59.000Z

408

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

409

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

410

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

411

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

412

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

413

Wind Speed Forecasting for Power System Operation  

E-Print Network (OSTI)

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

Zhu, Xinxin

2013-07-22T23:59:59.000Z

414

Evaluation of hierarchical forecasting for substitutable products  

Science Journals Connector (OSTI)

This paper addresses hierarchical forecasting in a production planning environment. Specifically, we examine the relative effectiveness of Top-Down (TD) and Bottom-Up (BU) strategies for forecasting the demand for a substitutable product (which belongs to a family) as well as the demand for the product family under different types of family demand processes. Through a simulation study, it is revealed that the TD strategy consistently outperforms the BU strategy for forecasting product family demand. The relative superiority of the TD strategy further improves by as much as 52% as the product demand variability increases and the degree of substitutability between the products decreases. This phenomenon, however, is not always true for forecasting the demand for the products within the family. In this case, it is found that there are a few situations wherein the BU strategy marginally outperforms the TD strategy, especially when the product demand variability is high and the degree of product substitutability is low.

S. Viswanathan; Handik Widiarta; R. Piplani

2008-01-01T23:59:59.000Z

415

Testing Competing High-Resolution Precipitation Forecasts  

E-Print Network (OSTI)

Testing Competing High-Resolution Precipitation Forecasts Eric Gilleland Research Prediction Comparison Test D1 D2 D = D1 ­ D2 copyright NCAR 2013 Loss Differential Field #12;Spatial Prediction Comparison Test Introduced by Hering and Genton

Gilleland, Eric

416

Forecasting Capital Expenditure with Plan Data  

Science Journals Connector (OSTI)

The short-term forecasting of capital expenditure presents one of the most difficult problems ... reason is that year-to-year fluctuations in capital expenditure are extremely wide. Some simple methods which...

W. Gerstenberger

1977-01-01T23:59:59.000Z

417

Forecasting Agriculturally Driven Global Environmental Change  

Science Journals Connector (OSTI)

...of each variable on GDP (13, 17), combined with global GDP projections (14...population, and per capita GDP, combined with projected...measure of agricultural demand for water, is forecast...Just as demand for energy is the major cause...

David Tilman; Joseph Fargione; Brian Wolff; Carla D'Antonio; Andrew Dobson; Robert Howarth; David Schindler; William H. Schlesinger; Daniel Simberloff; Deborah Swackhamer

2001-04-13T23:59:59.000Z

418

Medium- and Long-Range Forecasting  

Science Journals Connector (OSTI)

In contrast to short and extended range forecasts, predictions for periods beyond 5 days use time-averaged, midtropospheric height fields as their primary guidance. As time ranges are increased to 3O- and 90-day outlooks, guidance increasingly ...

A. James Wagner

1989-09-01T23:59:59.000Z

419

Updated Satellite Technique to Forecast Heavy Snow  

Science Journals Connector (OSTI)

Certain satellite interpretation techniques have proven quite useful in the heavy snow forecast process. Those considered best are briefly reviewed, and another technique is introduced. This new technique was found to be most valuable in cyclonic ...

Edward C. Johnston

1995-06-01T23:59:59.000Z

420

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.

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


421

Application of neural networking in live cattle futures market: an approach to price-forecasting  

E-Print Network (OSTI)

-Ju Chou, B. S. , Tunghai University, Taiwan Chair of Advisory Committee Dr. John P. Walter The ability to forecast closing price changes using neural networking technique in the live cattle futures market was investigated. Futures prices and contract... volumes from 1977 through 1991 were obtained for four commodities: live cattle, feeder cattle, live hogs and corn. Twelve neural networks were constructed, one for each combination of six contract months and two uading periods. The two trading periods...

Chou, Chien-Ju

2012-06-07T23:59:59.000Z

422

Forecasting energy markets using support vector machines  

Science Journals Connector (OSTI)

Abstract In this paper we investigate the efficiency of a support vector machine (SVM)-based forecasting model for the next-day directional change of electricity prices. We first adjust the best autoregressive SVM model and then we enhance it with various related variables. The system is tested on the daily Phelix index of the German and Austrian control area of the European Energy Exchange (???) wholesale electricity market. The forecast accuracy we achieved is 76.12% over a 200 day period.

Theophilos Papadimitriou; Periklis Gogas; Efthimios Stathakis

2014-01-01T23:59:59.000Z

423

A Multiscale Wind and Power Forecast System for Wind Farms  

Science Journals Connector (OSTI)

Abstract A large scale introduction of wind energy in power sector causes a number of challenges for electricity market and wind farm operators who will have to deal with the variability and uncertainty in the wind power generation in their scheduling and trading decisions. Numerical wind power forecasting has been identified as an important tool to address the increasing variability and uncertainty and to more efficiently operate power systems with large wind power penetration. It has been observed that even when the wind magnitude and direction recorded at a wind mast are the same, the corresponding energy productions can vary significantly. In this work we try to introduce improvements by developing a more accurate wind forecast system for a complex terrain. The system has been operational for eight months for the Bessaker Wind Farm located in the middle part of Norway in a very complex terrain. Operational power curves have also been derived from data analysis. Although the methodology explained has been developed for an onshore wind farm, it can very well be utilized in an offshore context also.

Adil Rasheed; Jakob Kristoffer Süld; Trond Kvamsdal

2014-01-01T23:59:59.000Z

424

MONTHLY NATURAL GAS PRODUCTION REPORT  

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

No. 1905-0205 No. 1905-0205 Expiration Date: 05/31/2015 Burden: 3 hours MONTHLY NATURAL GAS PRODUCTION REPORT Version No.: 2011.001 REPORT PERIOD: Month: Year: If any respondent identification data has changed since the last report, enter an "X" in the box: - - - - Mail to: - Oklahoma 2. Natural Gas Lease Production 1. Gross Withdrawals of Natural Texas Contact Title: COMMENTS: Identify any unusual aspects of your operations during the report month. (To start a new line, use alt + enter.) Wyoming Other States Alaska New Mexico City: Gas Louisiana Company Name: Address 1:

425

Natural gas monthly, June 1996  

SciTech Connect

The natural gas monthly (NGM) highlights activities, events, and analyses of interest to public and private sector organizations associated with the natural gas industry. Volume and price data are presented each month for natural gas production, distribution, consumption, and interstate pipeline activities. Producer-related activities and underground storage data are also reported. From time to time, the NGM features articles designed to assist readers in using and interpreting natural gas information. The feature article for this month is Natural Gas Industry Restructuring and EIA Data Collection.

NONE

1996-06-24T23:59:59.000Z

426

Agency datasets monthly list | Data.gov  

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

Bullion Sales and Mintage Figures Sales totals by month are updated every weekday by 5 p.m. (ET). Mintage is updated annually. Programs tracked in this report include: American Eagle, American Buffalo, and America the Beautiful Silver Five Ounce Coin. TREAS MINT Federal Government Finances and Employment 2013-08-22 07:38:38 Bullion Sales and Mintage Figures Sales totals by month are updated every weekday by 5 p.m. (ET). Mintage is updated annually. Programs tracked in this report include: American Eagle, American Buffalo, and America the Beautiful Silver Five Ounce Coin. TREAS MINT Federal Government Finances and Employment 2013-08-22 07:38:38 Circulating Coins Production Figures Production figures for circulating coins by denomination manufactured in Denver and Philadelphia. Updated monthly. Data includes active and inactive programs. Programs tracked in this report include: America the Beautiful Quarters, Presidential $1 Coins, District of Columbia and U.S. Territories Quarters, 50 State Quarters, Westward Journey Nickel Series. Presidential $1 Coins, Native American $1 Coins, and Kennedy Half Dollar Coins are currently only minted for numismatic products. Coins minted for numismatic bags, rolls, and boxes are produced in the circulating departments and may be shown in circulating totals. TREAS MINT Federal Government Finances and Employment 2013-08-22 07:38:38

427

Analysis of PG&E`s residential end-use metered data to improve electricity demand forecasts -- final report  

SciTech Connect

This report summarizes findings from a unique project to improve the end-use electricity load shape and peak demand forecasts made by the Pacific Gas and Electric Company (PG&E) and the California Energy Commission (CEC). First, the direct incorporation of end-use metered data into electricity demand forecasting models is a new approach that has only been made possible by recent end-use metering projects. Second, and perhaps more importantly, the joint-sponsorship of this analysis has led to the development of consistent sets of forecasting model inputs. That is, the ability to use a common data base and similar data treatment conventions for some of the forecasting inputs frees forecasters to concentrate on those differences (between their competing forecasts) that stem from real differences of opinion, rather than differences that can be readily resolved with better data. The focus of the analysis is residential space cooling, which represents a large and growing demand in the PG&E service territory. Using five years of end-use metered, central air conditioner data collected by PG&E from over 300 residences, we developed consistent sets of new inputs for both PG&E`s and CEC`s end-use load shape forecasting models. We compared the performance of the new inputs both to the inputs previously used by PG&E and CEC, and to a second set of new inputs developed to take advantage of a recently added modeling option to the forecasting model. The testing criteria included ability to forecast total daily energy use, daily peak demand, and demand at 4 P.M. (the most frequent hour of PG&E`s system peak demand). We also tested the new inputs with the weather data used by PG&E and CEC in preparing their forecasts.

Eto, J.H.; Moezzi, M.M.

1993-12-01T23:59:59.000Z

428

Monthly Energy Review - August 2003  

Gasoline and Diesel Fuel Update (EIA)

3 3 E n e r g y P l u g : N e w R e a c t o r D e s i g n s Cover Image: Optical glass fibers, though many times thinner than a human hair, carry vastly greater quantities of data than metallic wires, occupy less space, and are more secure. First introduced in the 1970s, high-purity optical fibers are capable of transmitting data over long distances and have replaced wires in many telecommunications, computing, and electronics applications. Timing of release: MER data are normally released in the afternoon of the third-to-last workday of each month and are usually available electronically the following day. Released for Printing: August 26, 2003 Printed with soy ink on recycled paper. Monthly Energy Review The Monthly Energy Review (MER) presents an overview of the Energy Information Administration's recent monthly energy

429

Monthly Energy Review - February 2003  

Gasoline and Diesel Fuel Update (EIA)

3 3 E n e r g y P l u g : M a j o r E n e r g y P r o d u c e r s Cover Image: Optical glass fibers, though many times thinner than a human hair, carry vastly greater quantities of data than metallic wires, occupy less space, and are more secure. First introduced in the 1970s, high-purity optical fibers are capable of transmitting data over long distances and have replaced wires in many telecommunications, computing, and electronics applications. Timing of release: MER data are normally released in the afternoon of the third-to-last workday of each month and are usually available electronically the following day. Released for Printing: February 28, 2003 Printed with soy ink on recycled paper. Monthly Energy Review The Monthly Energy Review (MER) presents an overview of the Energy Information Administration's recent monthly energy statistics.

430

Monthly Energy Review - April 2001  

Gasoline and Diesel Fuel Update (EIA)

April April 30, 2001 Electronic Access The Monthly Energy Review (MER) is available on the Energy Information Administration (EIA) website in a wide variety of formats at: http://www.eia.doe.gov/mer * Tables: ASCII text (TXT) and Portable Document Format (PDF) files. * Table Data Files: Excel (XLS) and Lotus (WK1). * Database Files (unrounded monthly data 1973 forward): Excel (XLS) files. * Graph pages, MER sections, and complete MER: PDF files. Complete MER PDF files are also available on the EIA "Energy Info Disk" through the U.S. De- partment of Commerce at 1-800-STAT-USA. Also available are ASCII comma delimited data files at: http://www.eia.doe.gov/pub/energy.overview/ monthly.energy/current.mer. Timing of Release: MER data are normally released in the afternoon of the third-to-last workday of each month and are usually available electronically the following

431

Monthly Energy Review - January 2004  

Gasoline and Diesel Fuel Update (EIA)

4 4 E n e r g y P l u g : A n n u a l E n e r g y O u t l o o k Cover Image: Optical glass fibers, though many times thinner than a human hair, carry vastly greater quantities of data than metallic wires, occupy less space, and are more secure. First introduced in the 1970s, high-purity optical fibers are capable of transmitting data over long distances and have replaced wires in many telecommunications, computing, and electronics applications. Timing of release: MER data are normally released in the afternoon of the third-to-last workday of each month and are usually available electronically the following day. Released for Printing: January 29, 2004 Printed with soy ink on recycled paper. Monthly Energy Review The Monthly Energy Review (MER) presents an overview of the Energy Information Administration's recent monthly energy statistics.

432

Monthly Energy Review - April 2003  

Gasoline and Diesel Fuel Update (EIA)

3 3 E n e r g y P l u g : E l e c t r i c P o w e r A n n u a l 2 0 0 1 Cover Image: Optical glass fibers, though many times thinner than a human hair, carry vastly greater quantities of data than metallic wires, occupy less space, and are more secure. First introduced in the 1970s, high-purity optical fibers are capable of transmitting data over long distances and have replaced wires in many telecommunications, computing, and electronics applications. Timing of release: MER data are normally released in the afternoon of the third-to-last workday of each month and are usually available electronically the following day. Released for Printing: May 22, 2003 Printed with soy ink on recycled paper. Monthly Energy Review The Monthly Energy Review (MER) presents an overview of the Energy Information Administration's recent monthly energy statistics.

433

Monthly Energy Review - January 2010  

Gasoline and Diesel Fuel Update (EIA)

Full report and sections: PDF files Report tables: PDF files Table data (unrounded): Excel and CSV files Graphs: PDF files Note: PDF files display selected annual and monthly data; Excel and CSV files display all available annual and monthly data, often at a greater level of precision than the PDF files. Timing of Release: MER updates are usually posted electronically by the third-to-the-last workday of each month. Released: January 29, 2010 DOE/EIA-0035(2010/01) Monthly Energy Review January 2010 U.S. Energy Information Administration Office of Energy Markets and End Use U.S. Department of Energy Washington, DC 20585 This report was prepared by the U.S. Energy Information Administration (EIA), the statistical and analytical agency within the

434

Monthly Energy Review - December 2002  

Gasoline and Diesel Fuel Update (EIA)

2 2 E n e r g y P l u g : R e n e w a b l e E n e r g y A n n u a l Cover Image: Optical glass fibers, though many times thinner than a human hair, carry vastly greater quantities of data than metallic wires, occupy less space, and are more secure. First introduced in the 1970s, high-purity optical fibers are capable of transmitting data over long distances and have replaced wires in many telecommunications, computing, and electronics applications. Timing of release: MER data are normally released in the afternoon of the third-to-last workday of each month and are usually available electronically the following day. Released for Printing: December 23, 2002 Printed with soy ink on recycled paper. Monthly Energy Review The Monthly Energy Review (MER) presents an overview of the Energy Information Administration's recent monthly energy statistics.

435

Monthly Energy Review - January 2003  

Gasoline and Diesel Fuel Update (EIA)

3 3 E n e r g y P l u g : A n n u a l E n e r g y O u t l o o k Cover Image: Optical glass fibers, though many times thinner than a human hair, carry vastly greater quantities of data than metallic wires, occupy less space, and are more secure. First introduced in the 1970s, high-purity optical fibers are capable of transmitting data over long distances and have replaced wires in many telecommunications, computing, and electronics applications. Timing of release: MER data are normally released in the afternoon of the third-to-last workday of each month and are usually available electronically the following day. Released for Printing: January 30, 2003 Printed with soy ink on recycled paper. Monthly Energy Review The Monthly Energy Review (MER) presents an overview of the Energy Information Administration's recent monthly energy statistics.

436

Monthly Energy Review - October 2000  

Gasoline and Diesel Fuel Update (EIA)

October October 25, 2000 Electronic Access The Monthly Energy Review (MER) is available on the Energy Information Administration (EIA) website in a wide variety of formats at: http://www.eia.doe.gov/mer * Tables: ASCII text (TXT) and Portable Document Format (PDF) files. * Table Data Files: Excel (XLS) and Lotus (WK1). * Database Files (unrounded monthly data 1973 forward): Excel (XLS) files. * Graph pages, MER sections, and complete MER: PDF files. Complete MER PDF files are also available on the EIA "Energy Info Disk" through the U.S. De- partment of Commerce at 1-800-STAT-USA. Also available are ASCII comma delimited data files at: http://www.eia.doe.gov/pub/energy.overview/ monthly.energy/current.mer. Timing of Release: MER data are normally released in the afternoon of the third-to-last workday of each month and are usually available electronically the following

437

Monthly Energy Review - November 2003  

Gasoline and Diesel Fuel Update (EIA)

3 3 E n e r g y P l u g : A n n u a l C o a l R e p o r t 2 0 0 2 Cover Image: Optical glass fibers, though many times thinner than a human hair, carry vastly greater quantities of data than metallic wires, occupy less space, and are more secure. First introduced in the 1970s, high-purity optical fibers are capable of transmitting data over long distances and have replaced wires in many telecommunications, computing, and electronics applications. Timing of release: MER data are normally released in the afternoon of the third-to-last workday of each month and are usually available electronically the following day. Released for Printing: November 24, 2003 Printed with soy ink on recycled paper. Monthly Energy Review The Monthly Energy Review (MER) presents an overview of the Energy Information Administration's recent monthly energy statistics.

438

Monthly Energy Review - June 2003  

Gasoline and Diesel Fuel Update (EIA)

3 3 E n e r g y P l u g : U r a n i u m I n d u s t r y A n n u a l 2 0 0 2 Cover Image: Optical glass fibers, though many times thinner than a human hair, carry vastly greater quantities of data than metallic wires, occupy less space, and are more secure. First introduced in the 1970s, high-purity optical fibers are capable of transmitting data over long distances and have replaced wires in many telecommunications, computing, and electronics applications. Timing of release: MER data are normally released in the afternoon of the third-to-last workday of each month and are usually available electronically the following day. Released for Printing: June 30, 2003 Printed with soy ink on recycled paper. Monthly Energy Review The Monthly Energy Review (MER) presents an overview of the Energy Information Administration's recent monthly energy statistics.

439

Monthly Energy Review - September 2000  

Gasoline and Diesel Fuel Update (EIA)

September September 26, 2000 Electronic Access The Monthly Energy Review (MER) is available on the Energy Information Administration (EIA) website in a wide variety of formats at: http://www.eia.doe.gov/mer * Tables: ASCII text (TXT) and Portable Document Format (PDF) files. * Table Data Files: Excel (XLS) and Lotus (WK1). * Database Files (unrounded monthly data 1973 forward): Excel (XLS) files. * Graph pages, MER sections, and complete MER: PDF files. Complete MER PDF files are also available on the EIA "Energy Info Disk" through the U.S. De- partment of Commerce at 1-800-STAT-USA. Also available are ASCII comma delimited data files at: http://www.eia.doe.gov/pub/energy.overview/ monthly.energy/current.mer. Timing of Release: MER data are normally released in the afternoon of the third-to-last workday of each month and are usually available electronically the following

440

Monthly Energy Review - November 2002  

Gasoline and Diesel Fuel Update (EIA)

2 2 E n e r g y P l u g : A n n u a l E n e r g y R e v i e w Cover Image: Optical glass fibers, though many times thinner than a human hair, carry vastly greater quantities of data than metallic wires, occupy less space, and are more secure. First introduced in the 1970s, high-purity optical fibers are capable of transmitting data over long distances and have replaced wires in many telecommunications, computing, and electronics applications. Timing of release: MER data are normally released in the afternoon of the third-to-last workday of each month and are usually available electronically the following day. Released for Printing: December 6, 2002 Printed with soy ink on recycled paper. Monthly Energy Review The Monthly Energy Review (MER) presents an overview of the Energy Information Administration's recent monthly energy statistics.

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


441

Monthly Energy Review - June 2001  

Gasoline and Diesel Fuel Update (EIA)

June June 28, 2001 Electronic Access The Monthly Energy Review (MER) is available on the Energy Information Administration (EIA) website in a wide variety of formats at: http://www.eia.doe.gov/mer * Tables: ASCII text (TXT) and Portable Document Format (PDF) files. * Table Data Files: Excel (XLS) and Lotus (WK1). * Database Files (unrounded monthly data 1973 forward): Excel (XLS) files. * Graph pages, MER sections, and complete MER: PDF files. Complete MER PDF files are also available on the EIA "Energy Info Disk" through the U.S. De- partment of Commerce at 1-800-STAT-USA. Also available are ASCII comma delimited data files at: http://www.eia.doe.gov/pub/energy.overview/ monthly.energy/current.mer. Timing of Release: MER data are normally released in the afternoon of the third-to-last workday of each month and are usually available electronically the following

442

Monthly Energy Review - February 2004  

Gasoline and Diesel Fuel Update (EIA)

4 4 E n e r g y P l u g : N a t u r a l G a s A n n u a l 2 0 0 2 Cover Image: Optical glass fibers, though many times thinner than a human hair, carry vastly greater quantities of data than metallic wires, occupy less space, and are more secure. First introduced in the 1970s, high-purity optical fibers are capable of transmitting data over long distances and have replaced wires in many telecommunications, computing, and electronics applications. Timing of release: MER data are normally released in the afternoon of the third-to-last workday of each month and are usually available electronically the following day. Released for Printing: February 24, 2004 Printed with soy ink on recycled paper. Monthly Energy Review The Monthly Energy Review (MER) presents an overview of the Energy Information Administration's recent monthly energy statistics.

443

Monthly energy review, August 1993  

SciTech Connect

This publication presents information for the month of August, 1993 on the following: Energy overview; energy consumption; petroleum; natural gas; oil and gas resource development; coal; electricity; nuclear energy; energy prices, and international energy.

Not Available

1993-08-26T23:59:59.000Z

444

monthly_peak_2003.xls  

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

O Form EIA-411 for 2005 Released: February 7, 2008 Next Update: October 2007 Table 3a . January Monthly Peak Hour Demand, Actual and Projected by North American Electric...

445

May 2013 Monthly News Blast  

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

The Bioenergy Technologies Office's May 2013 Monthly News Blast highlights the upcoming Biomass 2013 conference, a webinar on ionic liquids, the new Multi-Year Program Plan, and more.

446

Monthly Performance Report October 2009  

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

an internal MSA verification is in process. EXECUTIVE OVERVIEW MSC Monthly Performance Report October 2009 DOERL-2009-113 REV 1 3 2.0 ANALYSIS OF FUNDS Table 2-1. Mission...

447

Monthly Energy Review - January 2015  

Gasoline and Diesel Fuel Update (EIA)

Overview, 1949-2013 Overview, Monthly Overview, October 2014 Net Imports, January-October Web Page: http:www.eia.govtotalenergydatamonthlysummary. Source: Table 1.1. 2 U.S....

448

Monthly Energy Review - December 2014  

Gasoline and Diesel Fuel Update (EIA)

1949-2013 Overview, Monthly Overview, September 2014 Net Imports, January-September Web Page: http:www.eia.govtotalenergydatamonthlysummary. Source: Table 1.1. 2 U.S....

449

Monthly Energy Review - September 2014  

Gasoline and Diesel Fuel Update (EIA)

Btu) Overview, 1949-2013 Overview, Monthly Overview, June 2014 Net Imports, January-June Web Page: http:www.eia.govtotalenergydatamonthlysummary. Source: Table 1.1. 2 U.S....

450

Monthly Energy Review - July 2014  

Gasoline and Diesel Fuel Update (EIA)

Overview, 1949-2013 Overview, Monthly Overview, April 2014 Net Imports, January-April Web Page: http:www.eia.govtotalenergydatamonthlysummary. Source: Table 1.1. 2 U.S....

451

Monthly Energy Review - August 2014  

Gasoline and Diesel Fuel Update (EIA)

Btu) Overview, 1949-2013 Overview, Monthly Overview, May 2014 Net Imports, January-May Web Page: http:www.eia.govtotalenergydatamonthlysummary. Source: Table 1.1. 2 U.S....

452

Recapping National Energy Action Month  

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

Energy Department officials spent National Energy Action Month on the road, meeting and learning from Americans who are advancing our energy security, growing the economy and protecting the environment.

453

EUROBRISA products documentation This page (http://eurobrisa.cptec.inpe.br/) presents 1-month lead South America precipitation  

E-Print Network (OSTI)

South America precipitation forecasts and verification products for three month seasons. For example) that uses Pacific and Atlantic sea surface temperatures as predictor variables for precipitation over South America. For example, the observed sea surface temperature in the previous February is used as predictor

454

Natural gas monthly, June 1997  

SciTech Connect

The Natural Gas Monthly (NGM) highlights activities, events, and analyses of interest to public and private sector organizations associated with the natural gas industry. Volume and price data are presented each month for natural gas production, distribution, consumption, and interstate pipeline activities. Producer-related activities and underground storage data are also reported. From time to time, the NGM features articles designed to assist readers in using and interpreting natural gas information. 6 figs., 24 tabs.

NONE

1997-06-01T23:59:59.000Z

455

Natural gas monthly, August 1994  

SciTech Connect

The Natural Gas Monthly (NGM) highlights activities, events, and analyses of interest to public and private sector organizations associated with the natural gas industry. Volume and price data are presented each month for natural gas production, distribution, consumption, and interstate pipeline activities. Producer-related activities and underground storage data are also reported. From time to time, the NGM features articles designed to assist readers in using and interpreting natural gas information.

Not Available

1994-08-24T23:59:59.000Z

456

Natural gas monthly: September 1996  

SciTech Connect

The Natural Gas Monthly highlights activities, events, and analyses of interest to public and private sector organizations associated with the natural gas industry. Volume and price data are presented each month for natural gas production, distribution, consumption, and interstate pipeline activities. Producer-related activities and underground storage data are also reported. From time to time, the NGM features articles designed to assist readers in using and interpreting natural gas information. 6 figs., 24 tabs.

NONE

1996-09-01T23:59:59.000Z

457

Natural gas monthly, November 1993  

SciTech Connect

The Natural Gas Monthly (NGM) highlights activities, events, and analyses of interest to public and private sector organizations associated with the natural gas industry. Volume and price data are presented each month for natural gas production, distribution, consumption, and interstate pipeline activities. Producer-related activities and underground state data are also reported. From time to time, the NGM features articles designed to assist readers in using and interpreting natural gas information.

Not Available

1993-11-29T23:59:59.000Z

458

Forecasting aggregate time series with intermittent subaggregate components: top-down versus bottom-up forecasting  

Science Journals Connector (OSTI)

......optimum value through a grid-search algorithm...method outperformed TD for estimating the aggregate data series...variable, there is no benefit of forecasting each subaggregate...forecasting strategies in estimating the `component'-level...WILLEMAIN, T. R., SMART, C. N., SHOCKOR......

S. Viswanathan; Handik Widiarta; Rajesh Piplani

2008-07-01T23:59:59.000Z

459

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

SciTech Connect

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

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

2014-05-01T23:59:59.000Z

460

NOAA ARL Monthly Activity Report Bruce B. Hicks, Director  

E-Print Network (OSTI)

interface specifically designed to link with our southeast Asian (ASEAN) regional forecast grid extraction

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


461

Pump apparatus including deconsolidator  

DOE Patents (OSTI)

A pump apparatus includes a particulate pump that defines a passage that extends from an inlet to an outlet. A duct is in flow communication with the outlet. The duct includes a deconsolidator configured to fragment particle agglomerates received from the passage.

Sonwane, Chandrashekhar; Saunders, Timothy; Fitzsimmons, Mark Andrew

2014-10-07T23:59:59.000Z

462

Oxygenate Supply/Demand Balances in the Short-Term Integrated Forecasting Model (Released in the STEO March 1998)  

Reports and Publications (EIA)

The blending of oxygenates, such as fuel ethanol and methyl tertiary butyl ether (MTBE), into motor gasoline has increased dramatically in the last few years because of the oxygenated and reformulated gasoline programs. Because of the significant role oxygenates now have in petroleum product markets, the Short-Term Integrated Forecasting System (STIFS) was revised to include supply and demand balances for fuel ethanol and MTBE. The STIFS model is used for producing forecasts in the Short-Term Energy Outlook. A review of the historical data sources and forecasting methodology for oxygenate production, imports, inventories, and demand is presented in this report.

1998-01-01T23:59:59.000Z

463

Percentage of Total Natural Gas Industrial Deliveries included...  

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

Industrial Price Percentage of Total Industrial Deliveries included in Prices Vehicle Fuel Price Electric Power Price Period: Monthly Annual Download Series History Download...

464

Mirant Potomac River, LLC, Monthly Model Evaluation Study Report, December  

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

River, LLC, Monthly Model Evaluation Study Report, River, LLC, Monthly Model Evaluation Study Report, December 2006 Mirant Potomac River, LLC, Monthly Model Evaluation Study Report, December 2006 Docket No. EO-05-01. Order No. 202-07-02: As you are aware, Mirant Potomac River, L.L.C, (Mirant) is operating per the terms and conditions of the Administrative Compliance Order (ACO) dated June 1, 2006. Under the terms of ACO, Mirant is to deliver a monthly report to include: (1) the modeled input files and results of the daily Predictive Modeling for the preceding month, including the hourly average heat input in the MMBtu for each unit and the exit velocity (or exhaust volume) for each unit; (2) verification that the planned Operating Parameters utilized for Predictive Modeling in the preceding month were not exceeded, or if exceeded, documentation

465

Historical monthly energy review, 1973--1992  

SciTech Connect

The Historical Monthly Energy Review (HMER) presents monthly and annual data from 1973 through 1992 on production, consumption, stocks, imports, exports, and prices of the principal energy commodities in the United States. Also included are data on international production of crude oil, consumption of petroleum products, petroleum stocks, and production of electricity from nuclear-powered facilities. This edition of the HMER extends the original HMER in several ways: (1) Four additional years of monthly data, 1989--1992, have been added. (2) This report fully replaces the earlier one; each data cell that has been revised since the original HMER is marked with an ``R`` so that changes can be quickly noted. (3) Section 1 has been expanded to include Tables 1.7--1.13, which were not available in the first HMER. (4) Tables 3.9 on propane and Table 4.3 on natural gas trade, which have been added to the MER since the release of the first HMER, are included in this edition. In addition, Table 10.4 on nuclear electricity gross generation has been reorganized to align more closely with the current presentation in the MER.

Not Available

1994-08-01T23:59:59.000Z

466

Agency datasets monthly list | Data.gov  

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

FEWSNET Price Volatility Data 2002-2012 This dataset documents ten years, from 2002 to 2012, of cereal price fluctuations across twenty-five African countries. These numbers provide a month-by-month record of the degree and scope of price crises as well as undisturbed cereal markets in Africa. USAID Prices 2013-05-03 12:27:14 FEWSNET Price Volatility Data 2002-2012 This dataset documents ten years, from 2002 to 2012, of cereal price fluctuations across twenty-five African countries. These numbers provide a month-by-month record of the degree and scope of price crises as well as undisturbed cereal markets in Africa. USAID Prices 2013-05-03 12:27:14 Feed the Future Bangladesh: Baseline Integrated Household Survey The Bangladesh Integrated Household Survey dataset is a thorough assessment of current standard of food security in Bangladesh taken from 2011-2012. The dataset includes all baseline household surveys made under the USAID-led Feed the Future initiative, a collaborative effort that supports country-owned processes and plans for improving food security and promoting transparency, and within the Zones of Influence as outlined by the Feed the Future Bangladesh plan .The BIHS sample is statistically representative at the following levels: (a) nationally representative of rural Bangladesh; (b) representative of rural areas of each of the seven administrative divisions of the country; and, (c) representative of the Feed the Future (FTF) zone of influence. USAID Population 2013-05-03 12:27:14

467

Monthly Energy Review - April 2005  

Gasoline and Diesel Fuel Update (EIA)

5 5 E n e r g y P l u g : A l t e r n a t i v e M e r c u r y C o n t r o l S t r a t e g i e s Cover Image: Optical glass fibers, though many times thinner than a human hair, carry vastly greater quantities of data than metallic wires, occupy less space, and are more secure. First introduced in the 1970s, high-purity optical fibers are capable of transmitting data over long distances and have replaced wires in many telecommunications, computing, and electronics applications. Timing of release: MER data are normally released in the afternoon of the third-to-last workday of each month and are usually available electronically the following day. Released for Printing: April 27, 2005 Printed with soy ink on recycled paper. Monthly Energy Review The Monthly Energy Review (MER) is the Energy Information Admin-

468

Monthly Energy Review - September 2005  

Gasoline and Diesel Fuel Update (EIA)

5 5 E n e r g y P l u g : I n t e r n a t i o n a l E n e r g y O u t l o o k 2 0 0 5 Cover Image: Optical glass fibers, though many times thinner than a human hair, carry vastly greater quantities of data than metallic wires, occupy less space, and are more secure. First introduced in the 1970s, high-purity optical fibers are capable of transmitting data over long distances and have replaced wires in many telecommunications, computing, and electronics applications. Timing of release: MER data are normally released in the afternoon of the third-to-last workday of each month and are usually available electronically the following day. Released for Printing: September 27, 2005 Printed with soy ink on recycled paper. Monthly Energy Review The Monthly Energy Review (MER) is the Energy Information Admin-

469

Monthly Energy Review - October 2003  

Gasoline and Diesel Fuel Update (EIA)

3 3 E n e r g y P l u g : A n n u a l E n e r g y R e v i e w 2 0 0 2 Cover Image: Optical glass fibers, though many times thinner than a human hair, carry vastly greater quantities of data than metallic wires, occupy less space, and are more secure. First introduced in the 1970s, high-purity optical fibers are capable of transmitting data over long distances and have replaced wires in many telecommunications, computing, and electronics applications. Timing of release: MER data are normally released in the afternoon of the third-to-last workday of each month and are usually available electronically the following day. Released for Printing: October 27, 2003 Printed with soy ink on recycled paper. Monthly Energy Review The Monthly Energy Review (MER) presents an overview of the

470

Monthly Energy Review - August 2004  

Gasoline and Diesel Fuel Update (EIA)

4 4 E n e r g y P l u g : B i o d i e s e l P e r f o r m a n c e , C o s t s , a n d U s e Cover Image: Optical glass fibers, though many times thinner than a human hair, carry vastly greater quantities of data than metallic wires, occupy less space, and are more secure. First introduced in the 1970s, high-purity optical fibers are capable of transmitting data over long distances and have replaced wires in many telecommunications, computing, and electronics applications. Timing of release: MER data are normally released in the afternoon of the third-to-last workday of each month and are usually available electronically the following day. Released for Printing: August 25, 2004 Printed with soy ink on recycled paper. Monthly Energy Review The Monthly Energy Review (MER) is the Energy Information Admin-

471

MONTHLY NATURAL GAS PRODUCTION REPORT  

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

205 205 Expiration Date: 09/20/2012 Burden: 3 hours MONTHLY NATURAL GAS PRODUCTION REPORT Version No.: 2011.001 REPORT PERIOD: Month: Year: If any respondent identification data has changed since the last report, enter an "X" in the box: - - - - Mail to: - Oklahoma 2. Natural Gas Lease Production 1. Gross Withdrawals of Natural Texas Contact Title: COMMENTS: Identify any unusual aspects of your operations during the report month. (To start a new line, use alt + enter.) Wyoming Other States Alaska New Mexico City: Gas Louisiana Company Name: Address 1: Address 2: Questions? Contact Name: Phone No.: Email: If this is a resubmission, enter an "X" in the box: This form may be submitted to the EIA by mail, fax, e-mail, or secure file transfer. Should you choose to submit your data via e-mail, we must advise you that e-mail is an insecure means of transmission because the data are not encrypted, and there is

472

Monthly Energy Review - July 2005  

Gasoline and Diesel Fuel Update (EIA)

5 5 E n e r g y P l u g : E l e c t r i c P o w e r F l a s h E s t i m a t e s Cover Image: Optical glass fibers, though many times thinner than a human hair, carry vastly greater quantities of data than metallic wires, occupy less space, and are more secure. First introduced in the 1970s, high-purity optical fibers are capable of transmitting data over long distances and have replaced wires in many telecommunications, computing, and electronics applications. Timing of release: MER data are normally released in the afternoon of the third-to-last workday of each month and are usually available electronically the following day. Released for Printing: July 26, 2005 Printed with soy ink on recycled paper. Monthly Energy Review The Monthly Energy Review (MER) is the Energy Information Admin-

473

Monthly Energy Review - September 2004  

Gasoline and Diesel Fuel Update (EIA)

4 4 E n e r g y P l u g : S t a t e R e n e w a b l e E n e r g y P r o g r a m s Cover Image: Optical glass fibers, though many times thinner than a human hair, carry vastly greater quantities of data than metallic wires, occupy less space, and are more secure. First introduced in the 1970s, high-purity optical fibers are capable of transmitting data over long distances and have replaced wires in many telecommunications, computing, and electronics applications. Timing of release: MER data are normally released in the afternoon of the third-to-last workday of each month and are usually available electronically the following day. Released for Printing: September 28, 2004 Printed with soy ink on recycled paper. Monthly Energy Review The Monthly Energy Review (MER) is the Energy Information Admin-

474

Monthly Energy Review - July 2001  

Gasoline and Diesel Fuel Update (EIA)

E E n e r g y P l u g : C o a l I n d u s t r y A n n u a l July 2001 Monthly Energy Review The Monthly Energy Review (MER) presents an overview of the Energy Information Administration's recent monthly energy statistics. The statistics cover the major activities of U.S. pro- duction, consumption, trade, stocks, and prices for petroleum, natural gas, coal, electricity, and nuclear energy. Also in- cluded are international energy and thermal and metric conversion factors. Publication of this report is in keeping with responsibilities given to the Energy Information Administration (EIA) in Public Law 95-91 (Department of Energy Organization Act), which states, in part, in Section 205(a)(2), that: The MER is intended for use by Members of Congress, Federal and State agencies, energy analysts, and the general public. EIA welcomes suggestions from readers regarding data series in the MER and

475

Monthly Energy Review, July 1997  

Gasoline and Diesel Fuel Update (EIA)

use by use by Members of Congress, Federal and State agencies, energy analysts, and the general public. EIA welcomes suggestions from readers regarding data series in the MER and in other EIA publications. Related Publication: Readers of the MER may also be interested in EIA's Annual Energy Review, where many of the same data series are provided annually beginning with 1949. Contact our National Energy Information Center at 202-586-8800 for more information. Timing of Release: MER data are normally released in the afternoon of the third-from-the-last workday of each month and are usually available electronically late that day. Internet Addresses: E-Mail: infoctr@eia.doe.gov World Wide Web Site: http://www.eia.doe.gov Gopher Site: gopher://gopher.eia.doe.gov FTP Site: ftp://ftp.eia.doe.gov The Monthly Energy Review (ISSN 0095-7356) is published monthly

476

Monthly Energy Review - November 2005  

Gasoline and Diesel Fuel Update (EIA)

5 5 E n e r g y P l u g : A n n u a l C o a l R e p o r t 2 0 0 4 Cover Image: Optical glass fibers, though many times thinner than a human hair, carry vastly greater quantities of data than metallic wires, occupy less space, and are more secure. First introduced in the 1970s, high-purity optical fibers are capable of transmitting data over long distances and have replaced wires in many telecommunications, computing, and electronics applications. Timing of release: MER data are normally released in the afternoon of the third-to-last workday of each month and are usually available electronically the following day. Released for Printing: November 23, 2005 Printed with soy ink on recycled paper. Monthly Energy Review The Monthly Energy Review (MER) is the Energy Information Admin-

477

Monthly Energy Review - March 2001  

Gasoline and Diesel Fuel Update (EIA)

98.00 98.00 per year (price subject to change without advance notice). Periodical postage paid at Washington, DC 20066-9998, and additional mailing offices. POSTMASTER: Send address changes to Monthly Energy Review, Energy Information Administration, EI-30, 1000 Independence Avenue, SW, Washington, DC 20585-0623. Printed with soy ink on recycled paper. Released for Printing: March 27, 2001 Electronic Access The Monthly Energy Review (MER) is available on the Energy Information Administration (EIA) website in a wide variety of formats at: http://www.eia.doe.gov/mer * Tables: ASCII text (TXT) and Portable Document Format (PDF) files. * Table Data Files: Excel (XLS) and Lotus (WK1). * Database Files (unrounded monthly data 1973 forward): Excel (XLS) files. * Graph pages, MER sections, and complete MER: PDF files. Complete MER PDF files are also available on the EIA "Energy

478

Monthly Energy Review - September 2003  

Gasoline and Diesel Fuel Update (EIA)

September September 2003 E n e r g y P l u g : F o r e i g n D i r e c t I n v e s t m e n t Cover Image: Optical glass fibers, though many times thinner than a human hair, carry vastly greater quantities of data than metallic wires, occupy less space, and are more secure. First introduced in the 1970s, high-purity optical fibers are capable of transmitting data over long distances and have replaced wires in many telecommunications, computing, and electronics applications. Timing of release: MER data are normally released in the afternoon of the third-to-last workday of each month and are usually available electronically the following day. Released for Printing: September 26, 2003 Printed with soy ink on recycled paper. Monthly Energy Review The Monthly Energy Review (MER) presents an overview of the

479

Monthly Energy Review - December 2006  

Gasoline and Diesel Fuel Update (EIA)

6 6 NOTICE Last Issue in Print (See page iii) Cover Image: Optical glass fibers, though many times thinner than a human hair, carry vastly greater quantities of data than metallic wires, occupy less space, and are more secure. First introduced in the 1970s, high-purity optical fibers are capable of transmitting data over long distances and have replaced wires in many telecommunications, computing, and electronics applications. Timing of release: MER data are normally released in the afternoon of the third-to-last workday of each month and are usually available electronically the following day. Released for Printing: December 21, 2006 Printed with soy ink on recycled paper. Monthly Energy Review The Monthly Energy Review (MER) is the Energy Information Admin-

480

Natural gas monthly, October 1996  

SciTech Connect

The Natural Gas Monthly (NGM) is prepared in the Data Operations Branch of the Reserves and Natural Gas Division, Office of Oil and Gas, Energy Information Administration (EIA), U.S. Department of Energy (DOE). The NGM highlights activities, events, and analyses of interest to public and private sector organizations associated with the natural gas industry. Volume and price data are presented each month for natural gas production, distribution, consumption, and interstate pipeline activities. Producer-related activities and underground storage data are also reported. From time to time, the NGM features articles designed to assist readers in using and interpreting natural gas information.

NONE

1996-10-01T23:59:59.000Z

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


481

Natural gas monthly, September 1993  

SciTech Connect

The Natural Gas Monthly (NGM) is prepared in the Data Operations Branch of the Reserves and Natural Gas Division, Office of Oil and Gas, Energy Information Administration (EIA), US Department of Energy (DOE). The NGM highlights activities, events, and analyses of interest to public and private sector organizations associated with the natural gas industry. Volume and price data are presented each month for natural gas production, distribution, consumption, and interstate pipeline activities. Producer-related activities and underground storage data are also reported. From time to time, the NGM features articles designed to assist readers in using and interpreting natural gas information.

Not Available

1993-09-27T23:59:59.000Z

482

Natural gas monthly, March 1997  

SciTech Connect

The Natural Gas Monthly (NGM) highlights activities, events, and analyses of interest to public and private sector organizations associated with the natural gas industry. Volume and price data are presented each month for natural gas production, distribution, consumption, and interstate pipeline activities. Producer-related activities and underground storage data are also reported. From time to time, the NGM features articles designed to assist readers in using and interpreting natural gas information. The feature article is entitled ``Natural gas analysis and geographic information systems.`` 6 figs., 27 tabs.

NONE

1997-03-01T23:59:59.000Z

483

Natural gas monthly, August 1993  

SciTech Connect

The Natural Gas Monthly (NGM) is prepared in the Data Operations Branch of the Reserves and Natural Gas Division, Office of Oil and Gas, Energy Information Administration (EIA), US Department of Energy (DOE). The NGM highhghts activities, events, and analyses of interest to public and private sector organizations associated with the natural gas industry. Volume and price data are presented each month for natural gas production, distribution, consumption, and interstate pipeline activities. Producer-related activities and underground storage data are also reported. From time to time, the NGM features articles designed to assist readers in using and interpreting natural gas information.

Not Available

1993-08-25T23:59:59.000Z

484

Natural gas monthly, October 1997  

SciTech Connect

The Natural Gas Monthly highlights activities, events, and analyses of interest to public and private sector organizations associated with the natural gas industry. Volume and price data are presented each month for natural gas production, distribution, consumption, and interstate pipeline activities. Producer-related activities and underground storage data are also reported. From time to time, the NGM features articles designed to assist readers in using and interpreting natural gas information. The feature article in this issue is a special report, ``Comparison of Natural Gas Storage Estimates from the EIA and AGA.`` 6 figs., 26 tabs.

NONE

1997-10-01T23:59:59.000Z

485

Radar-Derived Forecasts of Cloud-to-Ground Lightning Over Houston, Texas  

E-Print Network (OSTI)

Lightning Forecasts..........................................................................................45 2.7 First Flash Forecasts and Lead Times.....................................................................47 vii... Cell Number ? 25 August 2000..............................................68 3.4 First Flash Forecast Time........................................................................................70 3.5 Lightning Forecasting Algorithm (LFA) Development...

Mosier, Richard Matthew

2011-02-22T23:59:59.000Z

486

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

487

Forecast of Contracting and Subcontracting Opportunities, Fiscal year 1995  

SciTech Connect

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

Not Available

1995-02-01T23:59:59.000Z

488

Electric power monthly, June 1997 with data for March 1997  

SciTech Connect

The Electric Power Monthly (EPM) presents monthly electricity statistics for a wide audience including Congress, Federal and State agencies, the electric utility industry, and the general public. The purpose of this publication is to provide energy decisionmakers with accurate and timely information that may be used in forming various perspectives on electric issues that lie ahead. 63 tabs.

NONE

1997-06-01T23:59:59.000Z

489

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.

490

Electric Power Monthly Â… December 2010 Data issue  

Gasoline and Diesel Fuel Update (EIA)

226 (2011/03) 226 (2011/03) Electric Power Monthly March 2011 With Data for December 2010 U.S. Energy Information Administration Office of Electricity, Renewables & Uranium Statistics U.S. Department of Energy Washington, 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. This report is available on the Web at: http://www.eia.gov/cneaf/electricity/epm/epm_sum.html

491

12-32021E2_Forecast  

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

FORECAST OF VACANCIES FORECAST OF VACANCIES Until end of 2014 (Issue No. 20) Page 2 OVERVIEW OF BASIC REQUIREMENTS FOR PROFESSIONAL VACANCIES IN THE IAEA Education, Experience and Skills: Professional staff at the P4-P5 levels: * Advanced university degree (or equivalent postgraduate degree); * 7 or 10 years, respectively, of experience in a field of relevance to the post; * Resource management experience; * Strong analytical skills; * Computer skills: standard Microsoft Office software; * Languages: Fluency in English. Working knowledge of other official languages (Arabic, Chinese, French, Russian, Spanish) advantageous; * Ability to work effectively in multidisciplinary and multicultural teams; * Ability to communicate effectively. Professional staff at the P1-P3 levels:

492

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

493

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.

494

Forecasting Market Demand for New Telecommunications Services: An Introduction  

E-Print Network (OSTI)

Forecasting Market Demand for New Telecommunications Services: An Introduction Peter Mc The marketing team of a new telecommunications company is usually tasked with producing forecasts for diverse three decades of experience working with telecommunications operators around the world we seek

McBurney, Peter

495

River Forecast Application for Water Management: Oil and Water?  

Science Journals Connector (OSTI)

Managing water resources generally and managing reservoir operations specifically have been touted as opportunities for applying forecasts to improve decision making. Previous studies have shown that the application of forecasts into water ...

Kevin Werner; Kristen Averyt; Gigi Owen

2013-07-01T23:59:59.000Z

496

Data Mining in Load Forecasting of Power System  

Science Journals Connector (OSTI)

This project applies Data Mining technology to the prediction of electric power system load forecast. It proposes a mining program of electric power load forecasting data based on the similarity of time series .....

Guang Yu Zhao; Yan Yan; Chun Zhou Zhao…

2013-01-01T23:59:59.000Z

497

Operational Rainfall and Flow Forecasting for the Panama Canal Watershed  

Science Journals Connector (OSTI)

An integrated hydrometeorological system was designed for the utilization of data from various sensors in the 3300 km2 Panama Canal Watershed for the purpose of producing ... forecasts. These forecasts are used b...

Konstantine P. Georgakakos; Jason A. Sperfslage

2005-01-01T23:59:59.000Z

498

Power System Load Forecasting Based on EEMD and ANN  

Science Journals Connector (OSTI)

In order to fully mine the characteristics of load data and improve the accuracy of power system load forecasting, a load forecasting model based on Ensemble Empirical Mode ... is proposed in this paper. Firstly,...

Wanlu Sun; Zhigang Liu; Wenfan Li

2011-01-01T23:59:59.000Z

499

U.S. Regional Demand Forecasts Using NEMS and GIS  

E-Print Network (OSTI)

Forecasts Using NEMS and GIS National Climatic Data Center.with Changing Boundaries." Use of GIS to Understand Socio-Forecasts Using NEMS and GIS Appendix A. Map Results Gallery

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

2005-01-01T23:59:59.000Z

500

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

Energy Savers (EERE)

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...