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1

John Conti  

Gasoline and Diesel Fuel Update (EIA)

Conti Conti Assistant Administrator for Energy Analysis Duties John Conti is the Assistant Administrator for Energy Analysis. The Assistant Administrator for Energy Analysis analyzes energy supply, demand, and prices including the impact of financial markets on energy markets; prepares reports on current and future energy use; analyzes the impact of energy policies; and develops advanced techniques for conducting energy information analyses. John also oversees the planning and execution of EIA's analysis and forecasting programs to ensure that EIA models, analyses, and projections meet the highest standards of relevance, reliability, and timeliness. Biography Previously, John was the Division Director for the International, Economic and Greenhouse Gases Division of OIAF, where he was responsible for

2

SR/OIAF/2009-05  

Gasoline and Diesel Fuel Update (EIA)

10-01 10-01 Energy Market and Economic Impacts of the American Power Act of 2010 July 2010 U. S. Energy Information Administration Office of Integrated Analysis and Forecasting 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. Service Reports are prepared by the Energy Information Administration upon special request and are based on policy assumptions specified by the requester.

3

SR/OIAF/2000-01  

Gasoline and Diesel Fuel Update (EIA)

1 1 Analysis of The Climate Change Technology Initiative: Fiscal Year 2001 April 2000 Energy Information Administration Office of Integrated Analysis and Forecasting 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 be attributed to the Energy Information Administration and should not be construed as advocating or reflecting any policy position of the Department of Energy or of any other organization. Service Reports are prepared by the Energy Information Administration upon special request and are based on assumptions specified by the requester. ii Energy Information Administration / Analysis of the Climate Change Technology Initiative: Fiscal Year 2001

4

Cloud tracking with optical flow for short-term solar forecasting Philip Wood-Bradley, Jos Zapata, John Pye  

E-Print Network [OSTI]

Cloud tracking with optical flow for short-term solar forecasting Philip Wood-Bradley, José Zapata: John Pye ­ john.pye@anu.edu.au 1. Abstract A method for tracking and predicting cloud movement using apart with a size of 640 by 480 pixels, were processed to determine the time taken for clouds to reach

5

SR/OIAF/2001-01 The Transition  

Gasoline and Diesel Fuel Update (EIA)

1 1 The Transition to Ultra-Low-Sulfur Diesel Fuel: Effects on Prices and Supply May 2001 Energy Information Administration Office of Integrated Analysis and Forecasting 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 be attributed to the Energy Information Administration and should not be construed as advocating or reflecting any policy position of the Department of Energy or of any other organization. Service Reports are prepared by the Energy Information Administration upon special request and are based on assumptions specified by the requester. Contacts This report was prepared by the Office of Integrated Analysis and Forecasting, Energy Information

6

SR/OIAF/99-01 Analysis Analysis  

Gasoline and Diesel Fuel Update (EIA)

1 1 Analysis Analysis of of The The Climate Climate Change Change Technology Technology Initiative Initiative April 1999 Energy Information Administration Office of Integrated Analysis and Forecasting 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 be attributed to the Energy Information Administration and should not be construed as advocating or reflecting any policy position of the Department of Energy or of any other organization. Service Reports are prepared by the Energy Information Administration upon special request and are based on assumptions specified by the requester. Contacts This report was prepared by the staff of the Office of Integrated Analysis and Forecasting of

7

Microsoft Word - SR_OIAF_2005-04.doc  

Gasoline and Diesel Fuel Update (EIA)

5-04 5-04 Impacts of Modeled Provisions of H.R. 6 EH: The Energy Policy Act of 2005 July 2005 Energy Information Administration Office of Integrated Analysis and Forecasting 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 be attributed to the Energy Information Administration and should not be construed as advocating or reflecting any policy position of the Department of Energy or of any other organization. Service Reports are prepared by the Energy Information Administration upon special request and are based on assumptions specified by the requester.

8

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

9

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

10

SR/OIAF/2000-04 Accelerated Depletion: Assessing Its Impacts  

Gasoline and Diesel Fuel Update (EIA)

4 4 Accelerated Depletion: Assessing Its Impacts on Domestic Oil and Natural Gas Prices and Production July 2000 Energy Information Administration Office of Integrated Analysis and Forecasting 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 be attributed to the Energy Information Administration and should not be construed as advocating or reflecting any policy position of the Department of Energy or of any other organization. Service Reports are prepared by the Energy Information Administration upon special request and are based on assumptions specified by the requester. Contacts This report was prepared by the staff of the Office of Integrated Analysis and Forecasting of the Energy

11

RACORO Forecasting  

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

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

12

John Horst  

Broader source: Energy.gov [DOE]

John Horst is aPublic Affairs Specialist with the Office of Energy Efficiency and Renewable Energy.

13

John Gerrard  

Broader source: Energy.gov [DOE]

John Gerrard is the NNSA Assistant Deputy Administrator for the Office of International Material Protection and Cooperation.

14

John Cymbalsky  

Office of Energy Efficiency and Renewable Energy (EERE)

John Cymbalsky is the Program Manager of Appliance and Equipment Standards & Building Codes for the Energy Department's Building Technologies Office.

15

A model for short term electric load forecasting  

E-Print Network [OSTI]

A MODEL FOR SHORT TERM ELECTRIC LOAD FORECASTING A Thesis by JOHN ROBERT TIGUE, III Submitted to the Graduate College of Texas ASM University in partial fulfillment of the requirement for the degree of MASTER OF SCIENCE May 1975 Major... Subject: Electrical Engineering A MODEL FOR SHORT TERM ELECTRIC LOAD FORECASTING A Thesis by JOHN ROBERT TIGUE& III Approved as to style and content by: (Chairman of Committee) (Head Depart t) (Member) ;(Me r (Member) (Member) May 1975 ABSTRACT...

Tigue, John Robert

1975-01-01T23:59:59.000Z

16

John Dominicis  

Office of Energy Efficiency and Renewable Energy (EERE)

As Director, Information Technology Services Office and Chief Information Officer for the Office of Energy Efficiency and Renewable Energy (EERE), John Dominicis collaborates with e-government and...

17

John Maddox  

Science Journals Connector (OSTI)

... A memorial meeting to celebrate the life of Sir John Maddox, the editor of Nature for many years, will be held on Friday 5 ...

2009-05-27T23:59:59.000Z

18

John Hancock  

Science Journals Connector (OSTI)

... it was. doubtless due to her affectionate interest that three of her childrenAlbany, John, and Marypursued the study of natural history with such success. The subject of ...

1890-10-23T23:59:59.000Z

19

John Podesta  

Broader source: Energy.gov [DOE]

John Podesta is Chair of the Center for American Progress and the Center for American Progress Action Fund. Under his leadership American Progress has become a notable leader in the...

20

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

Note: This page contains sample records for the topic "forecasting oiaf john" 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

EIA - Forecasts and Analysis of Energy Data  

Gasoline and Diesel Fuel Update (EIA)

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

22

John Moon | Department of Energy  

Office of Environmental Management (EM)

John Moon About Us John Moon - General Engineer, Office of Environmental Management John Moon Mr. John Unyong Moon is very active in supporting Asian American Pacific Islanders in...

23

John Nangle | Department of Energy  

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

John Nangle About Us John Nangle - Senior Engineer, National Renewable Energy Laboratory John Nangle John Nangle has been with the National Renewable Energy Laboratory (NREL) since...

24

John Freeland  

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

Welcome Welcome Getting Beamtime 4-ID-C Soft 4-ID-D Hard Publications Contact Us Ring Status Current Schedule John Freeland Argonne National Laboratory 9700 S. Cass Ave 431/E004 Argonne, Il 60439 Phone: 252-9614 Fax: 252-7392 E-Mail: freeland@aps.anl.gov Education/Experience: 1998 - present: Staff Scientist, Advanced Photon Source, Argonne National Laboratory, Argonne, IL 2001 - present: Adjunct Faculty, Department of Physics, Northern Illinois University 1996 - 1998: National Research Council (NRC) Fellow Naval Research Laboratory The Johns Hopkins University; Ph. D in Physics, 1996 Beloit College, Beloit, WI; B.S. in Physics, 1990 Research Interests: Understanding the magnetic and electronic properties of complex oxides both in the bulk and at surfaces and interfaces.

25

John Elliott  

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

Elliot Elliot Chief Sustainability Officer Lawrence Berkeley National Laboratory This speaker was a visiting speaker who delivered a talk or talks on the date(s) shown at the links below. This speaker is not otherwise associated with Lawrence Berkeley National Laboratory, unless specifically identified as a Berkeley Lab staff member. John is Chief Sustainability Officer at Berkeley Lab and transitioned from his position as Director, Energy and Sustainability at UC Merced. He has been responsible for shaping and implementing the campus sustainability strategy, which includes a "Triple-Zero" commitment to zero net energy, zero waste, and climate neutrality by 2020. He has been involved in new construction, operations, and planning. He has also managed use of a

26

John Powell | ornl.gov  

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

John Powell Director Environment, Safety and Health John Powell John Powell leads the Environment, Safety, and Health (ES&H) Directorate at Oak Ridge National Laboratory (ORNL)....

27

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,

28

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

29

Wind Power Forecasting  

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

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

30

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

31

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

32

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

33

John Wright Assistant Professor  

E-Print Network [OSTI]

John Wright Assistant Professor Department of Electrical Engineering Columbia University Zhang and John Wright, "Efficient Point-to-Subspace Query with Application to Robust Face Recognition", submitted to SIAM Journal on Imaging Science, 2013. John Wright, Arvind Ganesh, Kerui Min and Yi Ma

Shepard, Kenneth

34

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

35

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

36

CAPP 2010 Forecast.indd  

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

37

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

38

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

39

Sandia National Laboratories: solar forecasting  

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

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

40

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

Note: This page contains sample records for the topic "forecasting oiaf john" 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

Dr. John P. Holdren  

Broader source: Energy.gov [DOE]

Dr. John P. Holdren is Assistant to the President for Science and Technology, Director of the White House Office of Science and Technology Policy, and Co-Chair of the President's Council of...

42

John W. Meeker  

Office of Energy Efficiency and Renewable Energy (EERE)

Deputy, Procurement Services, Golden Field OfficeAs Deputy of Procurement Services for the Golden Field Office in the Office of Energy Efficiency and Renewable Energy (EERE), John directs the...

43

John W. Meeker  

Office of Energy Efficiency and Renewable Energy (EERE)

As Deputy of Procurement Services for the Golden Field Office in the Office of Energy Efficiency and Renewable Energy (EERE), John directs the procurement activityboth acquisition and financial...

44

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

45

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.

46

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,

47

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.

48

Patents -- John B. Goodenough  

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

Patents - John B. Goodenough Patents - John B. Goodenough Goodenough Page · Resources with Additional Information US 4,049,891 COMPOSITIONS FOR FAST ALKALI-METAL-ION TRANSPORT - Goodenough, John B.; Hong, Henry Y-P; September 20, 1977 Fast alkali-metal-ion transporters are provided having low resistivities and low-activation-energy mobilities at temperatures at which alkali metals are molten. The novel compounds promote alkali-metal-ion transport in three dimensions within their crystalline structure and have the general formula: or wherein A is potassium, sodium or lithium, Z' is a tetrahedrally coordinated cation or mixtures thereof, X is an octahedrally coordinated cation or mixtures thereof, n is a number greater than 1 and less than 4, m is a number from 1 up to 2 and Z' is a mixture of at least two Z' cations.

49

Code input alternatives John C. Wright  

E-Print Network [OSTI]

Code input alternatives John C. Wright John Wright Oct 2009 ­ CSWIM Workshop@ORNL Extensible markup

Wright, John C.

50

Kesheng John Wu  

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

Aztec Aztec Kesheng John Wu outline * what does it do * how to use it * questions Aztec A massively parallel iterative solver library for solving sparse linear systems Sandia National Laboratories Ray S. Tuminaro John N. Shadid Scott A. Hutchinson Lydie Provost Charles H. Tong web address http://www.cs.sandia.gov/CRF/aztec1.html Software description * * Distributed (SPMD): MPI * Matrix type: unstructured sparse data-local matrices, e.g., from finite elements * simple parallelization: no need to - define ghost variables map global to local indices identify neighboring processors determine messages * efficient machine utilization fast (grouped) communication sparse point & block matrices advanced parallel preconditioning builds on advanced partitioning computation overlaps communication

51

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

52

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

53

John Hervey Executive Director  

E-Print Network [OSTI]

John Hervey Executive Director #12;Historical Perspective · NACS Technology Standards Project · Project Components ­ Four areas of concentration · Payment Systems ­ terminal-to-host · Device Integration. Impact 21 Group, LLC Incomm Intermec Technologies Corp Kenan Advantage Group, Inc. Lance, Inc. Liberty

Brock, David

54

CURRICULUM VITAE JOHN TEMPLE  

E-Print Network [OSTI]

1 CURRICULUM VITAE JOHN TEMPLE Associate Dean/Associate Professor P.I. Reed School of Journalism-Present: Oversee the academic operations of the school; oversee curriculum changes; chair faculty in Spring 2004 and Fall 2008. Convergence Curriculum: Worked with SOJ faculty, the Provost's Office

Mohaghegh, Shahab

55

Curriculum Vitae JOHN WAKABAYASHI  

E-Print Network [OSTI]

geochemical, geophysical studies and geologic prospecting for hard rock uranium deposits in Colorado1 Curriculum Vitae JOHN WAKABAYASHI Associate Professor of Geology, California State University, CA 93740-8039 tel. (559-278-6459) email: jwakabayashi@csufresno.edu EDUCATION A.B. Geology

Wang, Zhi "Luke"

56

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

57

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

58

John Schueler | Department of Energy  

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

John Schueler John Schueler About Us John Schueler - Former New Media Specialist, Office of Public Affairs John Schueler A founding member of the New Media Office in the Office of Public Affairs, John Schueler served as a New Media Specialist at the Energy Department from March 2009 to January 2012. Prior to being appointed to his position at Energy, John worked for the Obama for America campaign as both a Field Organizer and New Media Director, acting on a passion for the political process that he developed during his studies at Loyola University Chicago. When he's not overseeing social media policy or covering the latest innovations in advanced vehicles, you're likely to find John in the middle of a sold out concert, engaging in a friendly game of Catan, rooting for all things Michigan (Go Blue!) or plotting an escape to the South

59

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...

60

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.

Note: This page contains sample records for the topic "forecasting oiaf john" 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

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

62

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...

63

2013 Federal Energy and Water Management Award Winners John Eichhorst...  

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

John Eichhorst, John Fehr, M. Renee Jewell, and Kathleen Kreyns 2013 Federal Energy and Water Management Award Winners John Eichhorst, John Fehr, M. Renee Jewell, and Kathleen...

64

~tx421.ptx  

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

FRIDAY APRIL 3, 2009 The meeting convened at 9:00 a.m. in Room 8E-089 of the James Forrestal Building, 1000 Independence Avenue, S.W., Washington, D.C., Edward Blair, Chair, presiding. COMMITTEE MEMBERS PRESENT: EDWARD BLAIR, Chair STEVE BROWN BARBARA FORSYTH WALTER HILL VINCENT IANNACCHIONE NANCY KIRKENDALL EDWARD KOKKELENBERG ISRAEL MELENDEZ MICHAEL TOMAN JOHN WEYANT (202) 234-4433 Neal R. Gross & Co., Inc. Page 2 EIA STAFF PRESENT: STEPHANIE BROWN, Designated Federal Official, Director, Statistics and Methods Group (SMG) JAMES BERRY CAROL JOYCE BLUMBERG TINA BOWERS JAKE BOURNAZIAN, SMG EUGENE BURNS MICHAEL COLE, Office of Integrated Analysis and Forecasting (OIAF) JOHN CONTI BRENDA COX, SRA RAMESH DANDEKAR, SMG JOHN PAUL DELEY, OIT

65

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

66

John Deutch | Department of Energy  

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

John Deutch John Deutch About Us John Deutch - MIT Chemist, Former Under Secretary of Energy Photo of John Deutch John M. Deutch is an Institute Professor at the Massachusetts Institute of Technology. Mr. Deutch has been a member of the MIT faculty since 1970, and has served as Chairman of the Department of Chemistry, Dean of Science and Provost. Mr. Deutch has published over 140 technical publications in physical chemistry, as well as numerous publications on technology, energy, international security, and public policy issues. John Deutch has served in significant government and academic posts throughout his career. In May 1995, he was sworn in as Director of Central Intelligence following a unanimous vote in the Senate, and served as DCI until December 1996. In this position, he was head of the Intelligence

67

John Chu | Department of Energy  

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

Chu Chu About Us John Chu - Communications Specialist with the Office of Energy Efficiency and Renewable Energy John Chu John Chu joined the Department of Energy in March 2010 as a communications specialist, covering all digital communications in energy efficiency and renewable energy. Previously, John served as a Presidential Management Fellow with the U.S. Department of Health and Human Services and the Census Bureau, where he worked on food safety education, the Medicaid budget, and the 2010 Census marketing campaign. John graduated from Syracuse University with a Master of Public Administration and Cornell University with a bachelor degree in Communications. An avid runner and former dance teacher, John spends his free time running with groups and enjoying the arts around Washington, DC.

68

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

69

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

70

John Montgomery | Department of Energy  

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

John Montgomery John Montgomery About Us John Montgomery - Team Leader, Archives and Information Management Team John Montgomery is the Morgantown site manager and the Archive and Information Management (AIM) Team leader for the Office of Legacy Management. As the Morgantown site manager, Mr. Montgomery ensures that all day-to-day operations and maintenance functions of the site are completed. He has autonomous control of the site, including site closure responsibility during inclement weather. As the AIM Team leader he has managerial responsibility to preserve, protect, and make accessible legacy records and information. Mr. Montgomery oversees the records program, information technology program, Freedom of Information Act program, Privacy Act program, stakeholder relations

71

McNary-John Day  

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

rights-of-way, then cross the Columbia River back into Oregon and end at BPA's John Day Substation. BPA prepared an environmental impact statement under the National...

72

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":""}]}

73

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

74

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

75

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

76

John Dempsey Hospital John Dempsey Hospital Patient Safety Plan  

E-Print Network [OSTI]

, analysis and reduction of healthcare risk · Promotion of a culture of safety · Achievement of governmental1 John Dempsey Hospital John Dempsey Hospital Patient Safety Plan 2012-2013 Dates Revised: 11/2003, 6/2005, 7/2006, 7/2009, 10/2010, 9/2011, 10/03/2012 Reviewed/Approved: Hospital QRM /Patient Safety

Oliver, Douglas L.

77

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

78

Search | Analyze | Review John Tredennick  

E-Print Network [OSTI]

a Year! Content is Exploding #12;Search | Analyze | Review Litigation Keeps Going · Major companies: 556.S. company to: Acquiring company liable for the sins of its target #12;Search | Analyze | Review JohnSearch | Analyze | Review John Tredennick Bruce Kiefer Using Text Mining to Help Bring Electronic

Tennessee, University of

79

John Maddox 1925-2009  

Science Journals Connector (OSTI)

... that I and my colleagues at Nature learned of the death on Sunday of Sir John Maddox or 'JM', as his colleagues always referred to him. There was ... ', as his colleagues always referred to him. There was puzzlement, too. Yes, John had been looking frail recently, but, well, this was JM the perpetually ...

Philip Campbell

2009-04-14T23:59:59.000Z

80

Centenary of Sir John Kirk  

Science Journals Connector (OSTI)

... IN connexion with the centenary on December 19 of Sir John Kirk (see NATURE, 130, 920, Dec. 17, 1932), a portrait of ... in the presence of His Highness the Sultan. A number of exhibits associated with Sir John Kirk were displayed at the ceremony. ...

1933-02-11T23:59:59.000Z

Note: This page contains sample records for the topic "forecasting oiaf john" 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

The Bicentenary of John Hunter  

Science Journals Connector (OSTI)

... CONSIDER for a moment the unenviable position J of John Hunter's two executors in the year 1793his nephew Dr. Matthew Baillie and ... Mr. Hunter's young museum assistant, William Clift. Fig. 1.-The statue of John Hunter, executed by Weekes and erected in the Royal College of Surgeons, London, ...

ARTHUR KEITH

1928-02-11T23:59:59.000Z

82

John Maddox (19252009)  

Science Journals Connector (OSTI)

... John Royden Maddox exerted an influence on science and the politics of science that was unequalled ... to settle arguments with authors or referees by tackling the equations himself. In 1996, John Maddox was knighted for his services to science, and in 2000 he was elected ...

Walter Gratzer

2009-04-17T23:59:59.000Z

83

Sir John Lubbock at Birmingham  

Science Journals Connector (OSTI)

... SIR JOHN LUBBOCK, in his inaugural address as president of the Midland Institute, gave utterance to ... we sincerely hope the Government and people of the country will take to heart. Sir John, as a member of the Schools Commission and of the Science Commission, has had ...

1874-11-12T23:59:59.000Z

84

Dr. C. E. St. John  

Science Journals Connector (OSTI)

... most successful research worker in. the general field of solar spectro-scopy that St. John will be remembered. Among the problems that he worked at we may mention the ... this was the study of systematic convection currents in the solar atmosphere invoked by St. John to account for anomalies in the observed Einstein effect. A full discussion of the ...

1935-07-06T23:59:59.000Z

85

NREL: Energy Analysis - John Lewis  

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

John Lewis John Lewis Photo of John Lewis. John Lewis is a member of the Data Analysis and Visualization Group in the Strategic Energy Analysis Center. Senior Scientist On staff since 2010 Phone number: 303-275-3021 E-mail: john.lewis@nrel.gov Areas of expertise Data analysis and visualization Energy informatics Project management Client interfacing Hydrogen and fuel cells Primary research interests Data science Information visualization Energy systems integration Smart grid technologies and deployment Transportation Education and background training Ph.D. in chemical engineering, California Institute of Technology, Pasadena, CA, 1996 M.S. in chemical engineering, California Institute of Technology, Pasadena, CA, 1993 B.S. in chemical engineering, Texas A&M University, College Station,

86

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...

87

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

88

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"

89

John M. Melack  

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

5 a 488. 5 a 488. 1 Águas Superficiais na Amazônia: Descobertas Chave e Perspectivas John M. Melack Bren School of Environmental Science and Management and Department of Ecology, Evolution, and Marine Biology University of California, Santa Barbara, California, USA Reynaldo L.Victoria Centro de Energia Nuclear na Agricultura, Piracicaba, Brasil Javier Tomasella Centro de Ciência do Sistema Terrestre, Instituto Nacional de Pesquisas Espaciais, Cachoeira Paulista, Brasil Os quatro capítulos que representam os estudos de águas superficiais na Amazônia abrangem escalas espaciais que vão desde pequenas bacias de drenagem a toda a Bacia Amazônica. Os aspectos hidrológicos são examinados em estudos de campo detalhados, sensoriamento remoto e

90

Mr. John R. Henderson  

Office of Legacy Management (LM)

SEP 22 1983 SEP 22 1983 Mr. John R. Henderson Vranesh and Raisch 2120 13th Street Boulder, Colorado -80306 Dear Mr. Henderson: Your request to include the Marion Millsite, Boulder, Colorado, in the Formerly Utflized Sites Remedial Action Program (FUSRAP) for remedial action was reviewed.by the cognizant divisions and offices of the Department of Energy (DOE). The information that you supplied and our records indicate that the Marion Millsite operated by the Wah Chang Corporation was supplying the Davison Chemical Company with thorium concentrate as a commercial venture, and there was no contract with the predecessors of the DDE. The site was neither formerly owned, operated, or controlled by or for the statutory predecessors of the Department. Also, the site is currently licensed by the State of Colorado, and it

91

John Arrington | Argonne National Laboratory  

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

John Arrington John Arrington Physicist - Physics John Arrington joined the Medium Energy Physics group in 1998 and is interested in understanding the quark/gluon structure of matter. His experiments utilize scattering of relatively high energy particles from protons, neutrons and nuclei to study their internal structure. Electron scattering measurements from the proton and neutron provide information on the spatial structure and momentum distributions of their quarks, including information on the difference between "up" and "down" quarks and the elusive role of heavier "strange" quarks. He also works on measurements using positron and muon scattering to better map out the proton's internal landscape and to try and understand the "proton radius

92

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

93

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

94

Aggregate vehicle travel forecasting model  

SciTech Connect (OSTI)

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

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

1995-05-01T23:59:59.000Z

95

DOE-EIA-0484(2009)  

Gasoline and Diesel Fuel Update (EIA)

9) 9) 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 9 May 2009 Energy Information Administration Office of Integrated Analysis and Forecasting 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 be attributed to the Energy Information Administration and should not be construed as advocating or reflecting any policy position of the Department of Energy or of any other organization. This publication is on the WEB at: www.eia.doe.gov/oiaf/ieo/index.html. Contacts The International Energy Outlook is prepared by the Ener- gy Information Administration (EIA). General questions concerning the contents of the report should be referred to John J. Conti, Director, Office of Integrated Analysis and Forecasting

96

International Energy Outlook 2006  

Gasoline and Diesel Fuel Update (EIA)

6) 6) 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 6 June 2006 Energy Information Administration Office of Integrated Analysis and Forecasting 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 be attributed to the Energy Information Administration and should not be construed as advocating or reflecting any policy position of the Department of Energy or of any other organization. This publication is on the WEB at: www.eia.doe.gov/oiaf/ieo/index.html. Contacts The International Energy Outlook is prepared by the Ener- gy Information Administration (EIA). General questions concerning the contents of the report should be referred to John J. Conti (john.conti@eia.doe.gov,

97

~tx410.ptx  

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

THURSDAY, APRIL 2, 2009 The meeting convened at 9:00 a.m. in Room 8E-089 of the James Forrestal Building, 1000 Independence Avenue, SW, Washington, D.C., Ed Blair, Chair, presiding. COMMITTEE MEMBERS PRESENT: EDWARD BLAIR, Chair STEVE BROWN MICHAEL COHEN BARBARA FORSYTH WALTER HILL VINCENT IANNACCHIONE NANCY KIRKENDALL EDWARD KOKKELENBERG ISRAEL MELENDEZ MICHAEL TOMAN JOHN WEYANT (202) 234-4433 Neal R. Gross & Co., Inc. Page 2 EIA STAFF PRESENT: STEPHANIE BROWN, Designated Federal Official, Director, Statistics and Methods Group (SMG) JAMES BERRY CAROL JOYCE BLUMBERG TINA BOWERS JAKE BOURNAZIAN, SMG EUGENE BURNS MICHAEL COLE, Office of Integrated Analysis and Forecasting (OIAF) JOHN CONTI BRENDA COX, SRA RAMESH DANDEKAR, SMG

98

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

99

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

100

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.

Note: This page contains sample records for the topic "forecasting oiaf john" 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

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

102

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.

103

John Hartman | Department of Energy  

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

John Hartman John Hartman About Us John Hartman - Deputy Inspector General for Investigations Career Highlights DOE Assistant Inspector General for Investigations Special Agent for DOE Inspector General Special Agent for General Services Administration John R. Hartman became the Deputy Inspector General for Investigation in December 2010. Prior to this he was the Assistant Inspector General for Investigations. Mr. Hartman is responsible for all investigations of the Department's programs and operations, which includes over 70 facilities and 100,000+ Federal and contractor employees. He directs a Federal workforce of Special Agents located across the country. Mr. Hartman has been with the Department's Office of Inspector General since 1990. He has served in a variety of positions, from Special Agent to

104

INTERNATIONAL ORGANIZING John Priscu (Chair)  

E-Print Network [OSTI]

INTERNATIONAL ORGANIZING COMMITTEE John Priscu (Chair) Montana State University, USA Nina Gunde, USA Laurie Connell University of Maine, USA Hugh Ducklow MBL- Woods Hole, USA Beat Frey Swiss Federal

Wall, Diana

105

CHRISTOPHER JOHN LOBB ADDRESS: Office  

E-Print Network [OSTI]

CHRISTOPHER JOHN LOBB ADDRESS: Office: Center for Superconductivity Research Department of Physics. Proc. No. 58 (AIP, New York, 1980), p. 308. 7. C. J. Lobb and Keith R. Karasek, A Monte Carlo

Lathrop, Daniel P.

106

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

107

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

108

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.

109

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

110

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

111

Essays on macroeconomics and forecasting  

E-Print Network [OSTI]

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

Liu, Dandan

2006-10-30T23:59:59.000Z

112

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 (SyntetosBoylan 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

113

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

114

John Thomas - Research Staff - FEERC  

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

John Thomas John Thomas R&D Staff Member Specialty: Automotive Fuel Economy, Emissions, and Aftertreatment John began his career at Oak Ridge National Laboratory in 1978 and has broad experience in fossil energy technology, fuels, combustion, energy conversion, combined heat and power and power generation systems. His most recent R&D efforts include the effects of intermediate ethanol fuel blends on the legacy vehicle fleet and non-road engines, ethanol/gasoline blend engine and vehicle performance and exploring emerging fuel and/or petroleum saving technologies on vehicles. Other recent work includes R&D involving a range of diesel exhaust emissions aftertreatment technologies including soot filters, NOx adsorber catalysts, hydrocarbon SCR, and urea

115

SILICON MODELS OF EARLY AUDITION John Lazzaro  

E-Print Network [OSTI]

Carver Mead and committee members Richard Lyon and Mark Konishi for most of the ideas Harris, Scott Hemphill, Nancy Lee Henderson, John Hopfield, Calvin Jackson, Doug Kerns, John Klemic

Lazzaro, John

116

Phenomenology of Supersymmetric James Philip John Hetherington  

E-Print Network [OSTI]

Phenomenology of Supersymmetric Models James Philip John Hetherington King's College A dissertation after examination, November 2002. #12; ii #12; iii Phenomenology of Supersymmetric Models James Philip John Hetherington Abstract This thesis describes a set of connected studies regarding the phenomenology

Hammerton, James

117

Curriculum Vitae, July 2012 JOHN ANDREW NYMAN  

E-Print Network [OSTI]

Curriculum Vitae, July 2012 JOHN ANDREW NYMAN School of Renewable Natural Resources Louisiana State ABBREVIATED CURRICULUM VITAE................................................................................ 4

Nyman, John

118

John J. Heldrich Center for Workforce Development  

E-Print Network [OSTI]

SOLUTIONS AT WORK 2012 Annual Report John J. Heldrich Center for Workforce Development Rutgers, The State University of New Jersey Edward J. Bloustein School of Planning and Public Policy #12;John J. Heldrich Center for Workforce Development · www.heldrich.rutgers.edu Annual Report 2012 2 3 The John J

Garfunkel, Eric

119

CURRICULUM VITAE DR. JOHN RICHARD THORNTON  

E-Print Network [OSTI]

CURRICULUM VITAE DR. JOHN RICHARD THORNTON Contact Details Address: 17 Eden Park Court, Mount;Curriculum Vitae John Thornton CURRENT POSITIONS Associate Director of the Institute for Integrated Conference, Nantes, France, Sep- 3 #12;Curriculum Vitae John Thornton tember 25-29, 2006, Proceedings

Thornton, John

120

by John Walker The Hacker's Diet  

E-Print Network [OSTI]

JOHN WALKER #12; Also by John Walker THE AUTODESK FILE c Copyright 1991--1992, John Walker All Rights) EDITION This book was published in October of 1992. Typeset with L A T E X. Autodesk Trademarks The following trademarks are registered in the U.S. Patent and Trademark Office by Autodesk, Inc.: Auto

Bernstein, Daniel

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


121

Arras User's Manual John B. Smith  

E-Print Network [OSTI]

Arras User's Manual TR85-036 1985 John B. Smith The University of North Carolina at Chapel Hill'S MANUAL John B. Smith Department or Computer Science University or North Carolina Chapel Hill, North Carolina 27514 Copyright© 1984 by John B. Smith #12;Starling ARRAS Note for those not using TUCC: The ARRAS

North Carolina at Chapel Hill, University of

122

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

123

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 17-day ensemble forecasts of 24-h accumulated precipitation, and observations from 43 ...

Jianguo Liu; Zhenghui Xie

2014-04-01T23:59:59.000Z

124

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

125

CURRICULUM VITAE JOHN KEVIN GREEN  

E-Print Network [OSTI]

CURRICULUM VITAE JOHN KEVIN GREEN Head, Department of Accounting Professor of Accounting Williams CURRICULUM VITAE 2 Assistant Professor of Economics, The University of the South, 1970-77 Economic Adviser. Volpi, and David E. Stout, "Transnational Income Reporting #12;GREEN: 2003 CURRICULUM VITAE 3

Marsh, David

126

Plasma Physics John F. Kennedy  

E-Print Network [OSTI]

v v v v v Princeton Plasma Physics Laboratory N 278 95 1 95 18 NEW YORK John F. Kennedy Int Campus/ Sayre Drive Sign PPPLSayre Dr. Location: Princeton Plasma Physics Laboratory James Forrestal Campus U.S. Route #1 North at Sayre Drive Plainsboro, NJ 08536 Mailing Address: Princeton Plasma Physics

Princeton Plasma Physics Laboratory

127

John Anderson Campus UNIVERSITY BUILDINGS  

E-Print Network [OSTI]

John Anderson Campus UNIVERSITY BUILDINGS 1 McCance Building 2 Collins Building 3 Livingstone Tower 4 Accommodation Office 5 Graham Hills Building 6 Turnbull Building 7 Royal College Building 8 Students' Union 9 Centre for Sport & Recreation 10 St Paul's Building/Chaplaincy 11 Thomas Graham Building

Mottram, Nigel

128

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.

129

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...

130

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...

131

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

132

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

133

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

134

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

135

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

136

Forecast of geothermal drilling activity  

SciTech Connect (OSTI)

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

137

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

138

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

139

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

140

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

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


141

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

142

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

143

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 Corbern-Vallet; Jos D. Bermdez; Jos V. Segura

2010-01-01T23:59:59.000Z

144

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...

145

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

146

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...

147

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

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

148

International Energy Outlook 2007  

Gasoline and Diesel Fuel Update (EIA)

7) 7) 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 7 May 2007 Energy Information Administration Office of Integrated Analysis and Forecasting 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 be attributed to the Energy Information Administration and should not be construed as advocating or reflecting any policy position of the Department of Energy or of any other organization. This publication is on the WEB at: www.eia.doe.gov/oiaf/ieo/index.html. Contacts The International Energy Outlook is prepared by the Ener- gy Information Administration (EIA). General questions concerning the contents of the report should be referred to John J. Conti, Director, Office of

149

International Energy Outlook  

Gasoline and Diesel Fuel Update (EIA)

Contacts Contacts Contacts The International Energy Outlook is prepared by the Office of Integrated Analysis and Forecasting (OIAF). General questions concerning the contents of the report should be referred to John Conti, Director, International, Economic and Greenhouse Gases Division (202/586-4430). Specific questions about the report should be referred to Linda E. Doman (202/586-1041 or linda.doman@eia.doe.gov) or the following analysts: Macroeconomic Assumptions Nasir Khilji (nasir.khilji@eia.doe.gov, 202/586-1294) World Oil Markets G. Daniel Butler (george.butler@eia.doe.gov, 202/586-9503) Natural Gas Phyllis Martin (phyllis.martin@eia.doe.gov, 202/586-9592) Justine Bardin (justine.baren@eia.doe.gov 202/586-3508) Coal Michael Mellish (michael.mellish@eia.doe.gov,

150

International Energy Outlook 2008  

Gasoline and Diesel Fuel Update (EIA)

8) 8) 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 8 September 2008 Energy Information Administration Office of Integrated Analysis and Forecasting 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 be attributed to the Energy Information Administration and should not be construed as advocating or reflecting any policy position of the Department of Energy or of any other organization. This publication is on the WEB at: www.eia.doe.gov/oiaf/ieo/index.html. Contacts The International Energy Outlook is prepared by the Ener- gy Information Administration (EIA). General questions concerning the contents of the report should be referred to John J. Conti, Director, Office

151

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

SciTech Connect (OSTI)

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

United States. Bonneville Power Administration.

1994-02-01T23:59:59.000Z

152

John Angelis named Manager, Information Resource Management  

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

Waste Isolation Pilot Plant (WIPP). "John's extensive computer technology and telecommunications experience, combined with his progressive attitude, make him an ideal choice for...

153

1993 Solid Waste Reference Forecast Summary  

SciTech Connect (OSTI)

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

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

1993-08-01T23:59:59.000Z

154

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

SciTech Connect (OSTI)

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

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

2013-10-01T23:59:59.000Z

155

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

156

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

157

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

158

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

SciTech Connect (OSTI)

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

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

2011-10-01T23:59:59.000Z

159

Physicist John Schmidt, designer of cutting-edge fusion facilities...  

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

Physicist John Schmidt, designer of cutting-edge fusion facilities, dies at 72 By John Greenwald February 15, 2013 Tweet Widget Google Plus One Share on Facebook John Schmidt,...

160

MagLab - Pioneers in Electricity and Magnetism: John Bardeen  

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

John Bardeen (1908-1991) John Bardeen John Bardeen was one of a handful of individuals awarded the Nobel Prize twice, and the first scientist to win dual awards in physics. Both...

Note: This page contains sample records for the topic "forecasting oiaf john" 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

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

162

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

163

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

164

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

165

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

166

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

167

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

168

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

169

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

170

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

171

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

172

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

173

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

174

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

175

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.

176

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 200day period.

Theophilos Papadimitriou; Periklis Gogas; Efthimios Stathakis

2014-01-01T23:59:59.000Z

177

John B. Goodenough, Cathode Materials, and Rechargeable Lithium...  

Office of Scientific and Technical Information (OSTI)

John B. Goodenough The University of Texas at Austin Stationary Fuel Cells that Use Natural Gas One Step Closer John B. Goodenough Award, Royal Society of Chemistry...

178

John Shalf Gives Talk at San Francisco High Performance Computing...  

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

John Shalf Gives Talk at San Francisco High Performance Computing Meetup John Shalf Gives Talk at San Francisco High Performance Computing Meetup September 17, 2014 XBD200503 00083...

179

Building Green in Greensburg: BTI Greensburg John Deere | Department...  

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

Building Green in Greensburg: BTI Greensburg John Deere Building Green in Greensburg: BTI Greensburg John Deere This poster highlights energy efficiency, renewable energy, and...

180

Lobbyist Disclosure Form - John Thorne | Department of Energy  

Office of Environmental Management (EM)

Form - John Thorne John inquired whether there were any open solicitations for biofuels projects under 1703 and 1705. He was told there were no open solicitations at this...

Note: This page contains sample records for the topic "forecasting oiaf john" 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

John G. Wolbach Library Collections Development Policy  

E-Print Network [OSTI]

database used by astrophysicists worldwide, moved into the Wolbach Library space with the purposeJohn G. Wolbach Library Collections Development Policy October 5, 2012 Mission/Purpose statement The mission of the Harvard-Smithsonian Center for Astrophysics (CfA) John G. Wolbach Library, or simply

182

Sir John Flett and the Geological Survey  

Science Journals Connector (OSTI)

... ON October 1 Sir John Flett retired from the directorship of the Geological Survey and Museum. He joined the ... in 1901, in 1903 he was appointed petrographer, and in 1911 he succeeded Dr. John Home as assistant director for Scotland. On the retirement of Sir Aubrey Strahan in ...

1935-10-05T23:59:59.000Z

183

Sir John Russell, F. R. S  

Science Journals Connector (OSTI)

... ON September 30, 1943, Sir John Russell will retire from the directorship of the Rothamsted Experimental Station, which he has ... Goldsmiths' Company soil chemist at Rothamsted. In these thirty-five years of service Sir John has been associated with striking advances in agricultural science. An early achievement was the ...

1942-12-19T23:59:59.000Z

184

Tenth Anniversary of the Johns Hopkins University  

Science Journals Connector (OSTI)

... THE tenth anniversary of the Johns Hopkins University at Baltimore was celebrated on April 26 last. Of the addresses delivered ... getting from him a clear notion of what the systematic study of it means.""John Henry Newman says:-' It is a great point, then, to enlarge the ...

1886-08-12T23:59:59.000Z

185

John of Gaddesden and the Rosa Medicinae  

Science Journals Connector (OSTI)

... John of Gaddesden's book may in its time have served as a handy " Practica ... has gathered much interesting historical matter, very aptly and pleasantly put together. The original John is poor stuff. His editor respectfully offers to him some tribute, asking us to ...

CLIFFORD ALLBUTT

1913-03-20T23:59:59.000Z

186

Leading the tributes to editor John Maddox  

Science Journals Connector (OSTI)

... In April 1974, some months after I had taken over from John Maddox as editor of Nature, I was driving home from the printers with a ... bed. News came in over the radio of a coup in Portugal. What would John have done? We agreed that he would have turned the car round and written ...

David Davies

2009-05-13T23:59:59.000Z

187

Adult Partial Hospitalization JOHN DEMPSEY HOSPITAL  

E-Print Network [OSTI]

Adult Partial Hospitalization Program JOHN DEMPSEY HOSPITAL CONTACT US For further information.uchc.edu. The Adult Partial Hospitalization Program is available Monday through Friday from 9 a.m. to 2:05 p.m. OUR LOCATION AND DIRECTIONS The Adult Partial Hospitalization Program is located on the 5th floor of the John

Oliver, Douglas L.

188

THE JOHNS HOPKINS UNIVERSITY ROYALTY DISTRIBUTION POLICY  

E-Print Network [OSTI]

1 THE JOHNS HOPKINS UNIVERSITY ROYALTY DISTRIBUTION POLICY On April 2, 2001, the Johns Hopkins University Board of Trustees approved a revision to the distribution formula for royalty and equity from derived from inventions and to be performed by faculty inventors who receive royalty for sales

Ghosh, Somnath

189

John Hale III | Department of Energy  

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

John Hale III John Hale III About Us John Hale III - Director, Office of Small and Disadvantaged Business Utilization John Hale III Career Highlights Hale is the former Deputy Associate Administrator for the Office of Capital Access at the U.S. Small Business Administration (SBA). In that role, he managed the agency's operations and initiatives designed to enhance customer service for its internal and external stakeholders. John Hale III is the Director of the Office of Small and Disadvantaged Business Utilization at the Department of Energy, reporting directly to the Office of the Secretary. In this role, Hale advocates for small businesses including small disadvantaged, 8(a), women-owned, service-disabled veteran-owned, and Historically Underutilized Business Zone businesses. He

190

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

191

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

SciTech Connect (OSTI)

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

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

2014-05-01T23:59:59.000Z

192

John Deere | Open Energy Information  

Open Energy Info (EERE)

Deere Deere Jump to: navigation, search Name John Deere Place Moline, IL Zip 61265 Website http://deere.com/ Coordinates 41.5067003°, -90.5151342° 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":41.5067003,"lon":-90.5151342,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

193

Johns Manville | Open Energy Information  

Open Energy Info (EERE)

Manville Manville Jump to: navigation, search Name Johns Manville Place Denver, Colorado Zip 80217-5108 Sector Solar Product Colorado-based maker of insulation, mechanical insulation, commercial roofing, and roof insulation. The company has a subsidiary producing solar roofing and BIPV products. Coordinates 39.74001°, -104.992259° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":39.74001,"lon":-104.992259,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

194

John Tomlin | Center for Bio-Inspired Solar Fuel Production  

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

John Tomlin Graduate student Subtask 4 project: "Synthesis of Functionalized Organic Dyes for Photochemical Water Oxidation...

195

A review of "John Locke, Toleration and Early Enlightenment Culture." by John Marshall.  

E-Print Network [OSTI]

in Baroque Rome will be of interest to a wide variety of scholars working in seventeenth-century studies. John Marshall. John Locke, Toleration and Early Enlightenment Culture. Cambridge: Cambridge University Press, 2006. viii + 767 pp. + 6 illus. $110....00. Review by CHRISTOPHER N. FRITSCH, INDEPENDENT SCHOLAR. With professional roots in the examination of early Pennsylvania, John Locke and toleration has often been a strong interest. William Penn?s connec- tion to both Locke and the topic of toleration...

Fritsch, Christopher N.

2007-01-01T23:59:59.000Z

196

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

197

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

198

John A. Owsley | Department of Energy  

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

John A. Owsley John A. Owsley About Us John A. Owsley - EMAB Board Member John A. Owsley serves as the Director of the Tennessee Department of Environment and Conservation's Division of DOE Oversight. The Division implements the Tennessee Oversight Agreement (TOA) and the Federal Facility Agreement (FFA) at the DOE Oak Ridge Operations and National Nuclear Security Administration's Y-12 Security Complex. The TOA involves monitoring the Oak Ridge ambient environment, assuring DOE is in compliance with all Federal, State, and local environmental regulations and assists in emergency response initiatives and public information. The FFA provides for the application of CERCLA (Superfund) Regulations on the Oak Ridge Reservation National Priority List site. From October 1991 to December 2000, Mr. Owsley served as Assistant Director

199

John Seaman | Savannah River Ecology Laboratory  

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

Seaman Curriculum Vitae Faculty & Scientists SREL Home John Seaman Savannah River Ecology Laboratory P O Drawer E, Aiken, SC 29802 (803) 725-0977 office (803) 725-3309 fax...

200

Performance Engineering of Service Compositions John Grundy  

E-Print Network [OSTI]

and performance analysis, and discuss preliminary results from our research to date. We conclude with areasPerformance Engineering of Service Compositions John Grundy Dept Electrical and Computer research on tools for business process composition, performance engineering and dynamic system

Grundy, John

Note: This page contains sample records for the topic "forecasting oiaf john" 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

12-32021E2_Forecast  

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

202

Building Energy Software Tools Directory: Degree Day Forecasts  

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

203

Building Energy Software Tools Directory: Energy Usage Forecasts  

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

204

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

205

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

206

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

207

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

208

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

209

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

210

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...

211

The Energy Demand Forecasting System of the National Energy Board  

Science Journals Connector (OSTI)

This paper presents the National Energy Boards long term energy demand forecasting model in its present state of ... results of recent research at the NEB. Energy demand forecasts developed with the aid of this....

R. A. Preece; L. B. Harsanyi; H. M. Webster

1980-01-01T23:59:59.000Z

212

Forecasting Energy Demand Using Fuzzy Seasonal Time Series  

Science Journals Connector (OSTI)

Demand side energy management has become an important issue for energy management. In order to support energy planning and policy decisions forecasting the future demand is very important. Thus, forecasting the f...

?Irem Ual Sar?; Basar ztaysi

2012-01-01T23:59:59.000Z

213

Wind power forecasting in U.S. electricity markets.  

SciTech Connect (OSTI)

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

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

2010-04-01T23:59:59.000Z

214

Wind power forecasting in U.S. Electricity markets  

SciTech Connect (OSTI)

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

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

2010-04-15T23:59:59.000Z

215

Sandia National Laboratories: Solar Energy Forecasting and Resource...  

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

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

216

Application of a Combination Forecasting Model in Logistics Parks' Demand  

Science Journals Connector (OSTI)

Logistics parks demand is an important basis of establishing the development policy of logistics industry and logistics infrastructure for planning. In order to improve the forecast accuracy of logistics parks demand, a combination forecasting ... Keywords: Logistics parks' demand, combine, simulated annealing algorithm, grey forecast model, exponential smoothing method

Chen Qin; Qi Ming

2010-05-01T23:59:59.000Z

217

A BAYESIAN MODEL COMMITTEE APPROACH TO FORECASTING GLOBAL SOLAR RADIATION  

E-Print Network [OSTI]

in the realm of solar radiation forecasting. In this work, two forecasting models: Autoregressive Moving1 A BAYESIAN MODEL COMMITTEE APPROACH TO FORECASTING GLOBAL SOLAR RADIATION. The very first results show an improvement brought by this approach. 1. INTRODUCTION Solar radiation

Boyer, Edmond

218

PSO (FU 2101) Ensemble-forecasts for wind power  

E-Print Network [OSTI]

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

219

Accuracy of near real time updates in wind power forecasting  

E-Print Network [OSTI]

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

Heinemann, Detlev

220

CSUF ECONOMIC OUTLOOK AND FORECASTS MIDYEAR UPDATE -APRIL 2014  

E-Print Network [OSTI]

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

de Lijser, Peter

Note: This page contains sample records for the topic "forecasting oiaf john" 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

Forecasting wave height probabilities with numerical weather prediction models  

E-Print Network [OSTI]

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

Stevenson, Paul

222

CALIFORNIA ENERGY DEMAND 2008-2018 STAFF REVISED FORECAST  

E-Print Network [OSTI]

CALIFORNIA ENERGY COMMISSION CALIFORNIA ENERGY DEMAND 2008-2018 STAFF REVISED FORECAST. Mitch Tian prepared the peak demand forecast. Ted Dang prepared the historic energy consumption data in California and for climate zones within those areas. The staff California Energy Demand 2008-2018 forecast

223

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

E-Print Network [OSTI]

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

Povinelli, Richard J.

224

Wind and Load Forecast Error Model for Multiple Geographically Distributed Forecasts  

SciTech Connect (OSTI)

The impact of wind and load forecast errors on power grid operations is frequently evaluated by conducting multi-variant studies, where these errors are simulated repeatedly as random processes based on their known statistical characteristics. To generate these errors correctly, we need to reflect their distributions (which do not necessarily follow a known distribution law), standard deviations, auto- and cross-correlations. For instance, load and wind forecast errors can be closely correlated in different zones of the system. This paper introduces a new methodology for generating multiple cross-correlated random processes to simulate forecast error curves based on a transition probability matrix computed from an empirical error distribution function. The matrix will be used to generate new error time series with statistical features similar to observed errors. We present the derivation of the method and present some experimental results by generating new error forecasts together with their statistics.

Makarov, Yuri V.; Reyes Spindola, Jorge F.; Samaan, Nader A.; Diao, Ruisheng; Hafen, Ryan P.

2010-11-02T23:59:59.000Z

225

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

E-Print Network [OSTI]

An important determinant of our energy future is the rate at which energy conservation technologies, once developed, are put into use. At Synergic Resources Corporation, we have adapted and applied a methodology to forecast the use of conservation...

Lang, K.

1982-01-01T23:59:59.000Z

226

Building America Whole-House Solutions for New Homes: John Wesley...  

Energy Savers [EERE]

John Wesley Miller, Tucson, Arizona Building America Whole-House Solutions for New Homes: John Wesley Miller, Tucson, Arizona Case study of John Wesley Miller Companies, who worked...

227

Forecasting the Locational Dynamics of Transnational Terrorism  

E-Print Network [OSTI]

Forecasting the Locational Dynamics of Transnational Terrorism: A Network Analytic Approach Bruce A-0406 Fax: (919) 962-0432 Email: skyler@unc.edu Abstract--Efforts to combat and prevent transnational terror of terrorism. We construct the network of transnational terrorist attacks, in which source (sender) and target

Massachusetts at Amherst, University of

228

Do quantitative decadal forecasts from GCMs provide  

E-Print Network [OSTI]

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

Stevenson, Paul

229

Sunny outlook for space weather forecasters  

Science Journals Connector (OSTI)

... For decades, companies have tailored public weather data for private customers from farmers to airlines. On Wednesday, a group of businesses said that they ... utilities and satellite operators. But Terry Onsager, a physicist at the SWPC, says that private forecasting firms are starting to realize that they can add value to these predictions. ...

Eric Hand

2012-04-27T23:59:59.000Z

230

Modeling of Uncertainty in Wind Energy Forecast  

E-Print Network [OSTI]

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

231

Prediction versus Projection: How weather forecasting and  

E-Print Network [OSTI]

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

Howat, Ian M.

232

Customized forecasting tool improves reserves estimation  

SciTech Connect (OSTI)

Unique producing characteristics of the Teapot sandstone formation, Powder River basin, Wyoming, necessitated the creation of individualized production forecasting methods for wells producing from this reservoir. The development and use of a set of production type curves and correlations for Teapot wells are described herein.

Mian, M.A.

1986-04-01T23:59:59.000Z

233

Storm-in-a-Box Forecasting  

Science Journals Connector (OSTI)

...But the WRF has no immediate...being tuned to local conditions...temperatures and winds with altitude...resulting WRF forecasts...captured the local sea-breeze winds better...spread the local operation of mesoscale...to be the WRF model now...

Richard A. Kerr

2004-05-14T23:59:59.000Z

234

FORECAST OF VACANCIES Until end of 2016  

E-Print Network [OSTI]

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

235

Online short-term solar power forecasting  

SciTech Connect (OSTI)

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

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

2009-10-15T23:59:59.000Z

236

The Johns Hopkins Hospital and the Johns Hopkins University School of Medicine  

Science Journals Connector (OSTI)

... THE reputation of the Johns Hopkins Hospital was founded upon the inspired endeavours of a few great men, and ... are interested in the history of medical education. There are many strong ties between the Johns Hopkins and Great Britain- probably the greatest of which was its gift to us ...

E. ASHWORTH UNDERWOOD

1947-06-07T23:59:59.000Z

237

Operational forecasting based on a modified Weather Research and Forecasting model  

SciTech Connect (OSTI)

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

Lundquist, J; Glascoe, L; Obrecht, J

2010-03-18T23:59:59.000Z

238

UNCERTAINTY IN THE GLOBAL FORECAST SYSTEM  

SciTech Connect (OSTI)

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

239

Forecastability as a Design Criterion in Wind Resource Assessment: Preprint  

SciTech Connect (OSTI)

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

Zhang, J.; Hodge, B. M.

2014-04-01T23:59:59.000Z

240

ANL Wind Power Forecasting and Electricity Markets | Open Energy  

Open Energy Info (EERE)

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

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241

NREL: Energy Sciences - John O. Baker  

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

O. Baker O. Baker Senior Scientist Photo of John Baker Phone: (303) 384-7770 Email: john.baker@nrel.gov At NREL Since: 2000 John Baker's core expertise is as a chemical kineticist specializing in the kinetics of enzyme-catalyzed reactions. His interdisciplinary work at NREL has taken him through such diverse areas as microbiology, chromatographic methods development, calorimetry, fluorescence spectroscopy, and practical fluid mechanics. Since joining the Enzyme Technology Focus Team in 1984, he has taken on the task of developing experimental methods and data analysis approaches that can bridge the fields of fundamental scientific studies of cellulase structure and function and the bottom-line application of these enzymes in economically viable bioconversion processes.

242

John E. Kelly | Department of Energy  

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

E. Kelly E. Kelly About Us John E. Kelly - Deputy Assistant Secretary for Nuclear Reactor Technologies John E. Kelly Dr. John E. Kelly was appointed Deputy Assistant Secretary for Nuclear Reactor Technologies in the Office of Nuclear Energy in October 2010. His office is responsible for the Department of Energy (DOE) civilian nuclear reactor research and development portfolio, which includes DOE's programs on Small Modular Reactors, Light Water Reactor sustainability, and Generation IV reactors. His office also is responsible for the design, development, and production of radioisotope power systems, principally for NASA missions. In the international arena, Dr. Kelly chairs the Generation IV International Forum and the International Atomic Energy Agency's Standing Advisory Group on Nuclear Energy.

243

NREL: Energy Sciences - Zhuangchun (John) Wu  

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

Zhuangchun (John) Wu Zhuangchun (John) Wu Scientist Photo of John Wu Phone: (303) 384-6623 Email: zhuangchun.wu@nrel.gov At NREL Since: 2008 Zhuangchun Wu received his Ph.D. from the University of Florida in 2008. For his dissertation work, Dr. Wu worked with Dr. Andrew G. Rinzler, studying properties of single wall carbon nanotubes thin films (SWNTF) and the interface between SWNTF and various polymer and semiconductors. He then worked as a post-doctoral researcher with Dr. Lin Simpson and Dr. Anne Dillon at NREL, focusing on the applications of low-dimensional carbon in nanocomposite materials for high-power lithium ion batteries. He is currently a scientist at NREL, working on projects that focus on a variety of fundamental and applied research topics, including lithium ion batteries

244

Sampling Efficiency and Biodiversity Peter Neal & John Moriary  

E-Print Network [OSTI]

Sampling Efficiency and Biodiversity Peter Neal & John Moriary First version: 9 June 2009 Research #12;Sampling efficiency and biodiversity Peter Neal and John Moriary June 9, 2009 1 Introduction Given

Sidorov, Nikita

245

BPA Transmission, factsheet, McNary-John Day, October 2008  

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

the Columbia River into Oregon at the John Day Dam and then terminates at BPA's John Day Substation in Sherman County. BPA proposed the project to address the increased need for...

246

THE UNIVERSITY OF CONNECTICUT HEALTH CENTER JOHN DEMPSEY HOSPITAL  

E-Print Network [OSTI]

THE UNIVERSITY OF CONNECTICUT HEALTH CENTER JOHN DEMPSEY HOSPITAL ADMINISTRATIVE MANUAL SECTION of Connecticut Health Center/John Dempsey Hospital, health profession students and contracted health profession programs, University of Connecticut students on approved rotations (with required countersignatures from

Oliver, Douglas L.

247

Fast Wave Current Drive Modeling in Tokamaks John C. Wright  

E-Print Network [OSTI]

Fast Wave Current Drive Modeling in Tokamaks John C. Wright A DISSERTATION PRESENTED TO THE FACULTY BY THE DEPARTMENT OF ASTROPHYSICAL SCIENCES PRINCETON UNIVERSITY June 1998 #12;c Copyright by John C. Wright, 1998

Wright, John C.

248

Fast Wave Current Drive Modeling in Tokamaks John C. Wright  

E-Print Network [OSTI]

Fast Wave Current Drive Modeling in Tokamaks John C. Wright A Dissertation Presented to the Faculty by the Department of Astrophysical Sciences Princeton University June 1998 #12; c flCopyright by John C. Wright

Wright, John C.

249

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

250

OpenEI Community - energy data + forecasting  

Open Energy Info (EERE)

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

251

Voluntary Green Power Market Forecast through 2015  

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

158 158 May 2010 Voluntary Green Power Market Forecast through 2015 Lori Bird National Renewable Energy Laboratory Ed Holt Ed Holt & Associates, Inc. Jenny Sumner and Claire Kreycik National Renewable Energy Laboratory National Renewable Energy Laboratory 1617 Cole Boulevard, Golden, Colorado 80401-3393 303-275-3000 * www.nrel.gov NREL is a national laboratory of the U.S. Department of Energy Office of Energy Efficiency and Renewable Energy Operated by the Alliance for Sustainable Energy, LLC Contract No. DE-AC36-08-GO28308 Technical Report NREL/TP-6A2-48158 May 2010 Voluntary Green Power Market Forecast through 2015 Lori Bird National Renewable Energy Laboratory Ed Holt Ed Holt & Associates, Inc. Jenny Sumner and Claire Kreycik National Renewable Energy Laboratory

252

EIA - Forecasts and Analysis of Energy Data  

Gasoline and Diesel Fuel Update (EIA)

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

253

FORSITE: a geothermal site development forecasting system  

SciTech Connect (OSTI)

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

254

John Bardeen Engineering Leadership Program | Overview  

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

Overview Overview Description The John Bardeen Engineering Leadership Program is designed to provide full-time entry-level opportunities for outstanding engineering graduates who are interested in working in a cutting edge research environment. Fermilab provides opportunities in the fields of electrical, electronics, radio frequency systems, power distribution, magnets, RF cavities, mechanical, materials science and cryogenic engineering. The program honors John Bardeen's revolutionary achievements as both a physicist and engineer. Applications are now being accepted. Eligibilty Applicants must be recipients of a Master or Doctoral degree in engineering from an accredited institution and apply within three years of graduation or completion of a first postdoctoral position.

255

Forecasting hotspots using predictive visual analytics approach  

SciTech Connect (OSTI)

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

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

2014-12-30T23:59:59.000Z

256

Exponential smoothing model selection for forecasting  

Science Journals Connector (OSTI)

Applications of exponential smoothing to forecasting time series usually rely on three basic methods: simple exponential smoothing, trend corrected exponential smoothing and a seasonal variation thereof. A common approach to selecting the method appropriate to a particular time series is based on prediction validation on a withheld part of the sample using criteria such as the mean absolute percentage error. A second approach is to rely on the most appropriate general case of the three methods. For annual series this is trend corrected exponential smoothing: for sub-annual series it is the seasonal adaptation of trend corrected exponential smoothing. The rationale for this approach is that a general method automatically collapses to its nested counterparts when the pertinent conditions pertain in the data. A third approach may be based on an information criterion when maximum likelihood methods are used in conjunction with exponential smoothing to estimate the smoothing parameters. In this paper, such approaches for selecting the appropriate forecasting method are compared in a simulation study. They are also compared on real time series from the M3 forecasting competition. The results indicate that the information criterion approaches provide the best basis for automated method selection, the Akaike information criteria having a slight edge over its information criteria counterparts.

Baki Billah; Maxwell L. King; Ralph D. Snyder; Anne B. Koehler

2006-01-01T23:59:59.000Z

257

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

258

DENDROCHRONOLOGICAL DATING OF THE CHIEF JOHN ROSS HOUSE, ROSSVILLE, GEORGIA  

E-Print Network [OSTI]

Donald, grandfather of Chief John Ross, for his Cherokee bride. This construction date first emerged in the 1950s principal chiefof the Cherokee before the tribe'sforced removal during the Trail of Tears. Using structure was reportedly built in 1797 by John McDonald, grandfa- ther of Chief John Ross, for his Cherokee

Grissino-Mayer, Henri D.

259

John B. Macdonald Compiled by Christopher Hives (2005)  

E-Print Network [OSTI]

John B. Macdonald fonds Compiled by Christopher Hives (2005) Last revised August 2013 University Description John B. Macdonald fonds. ­ 1962-1967. 15 cm of textual records. Biographical Sketch The University of British Columbia's fourth president, John Barfoot Macdonald, was born in Toronto on February 23, 1918

Handy, Todd C.

260

John Shepard Wright Benefactor of Forestry in Indiana*  

E-Print Network [OSTI]

John Shepard Wright Benefactor of Forestry in Indiana* by W. C. Bramble Head, Department of Forestry and Conservation, 1958 ­ 1973, Purdue University "John Shepard Wright was a quiet, scholarly man in the Proceedings of the Indiana Academy of Science for 1951. John S. Wright's interest in science and forestry

Note: This page contains sample records for the topic "forecasting oiaf john" 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

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

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

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.

262

Annual Energy Outlook with Projections to 2025-Forecast Comparisons  

Gasoline and Diesel Fuel Update (EIA)

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

263

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

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

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.

264

Metrics for Evaluating the Accuracy of Solar Power Forecasting: Preprint  

SciTech Connect (OSTI)

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

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

2013-10-01T23:59:59.000Z

265

CURRICULUM VITAE Name: John Charles Priscu  

E-Print Network [OSTI]

and Oceanography winter meeting, Salt Lake City. February 2003. Participant and discussion leader, National ScienceCURRICULUM VITAE Name: John Charles Priscu Birthdate: September 20, 1952 Citizenship: U-present. Chair, SCAR-SALE (Subglacial Antarctic Lake Environments) International Scientific Planning Group

Lawrence, Rick L.

266

Radio Astronomy Fundamentals I John Simonetti  

E-Print Network [OSTI]

Radio Astronomy Fundamentals I John Simonetti Spring 2012 Radio astronomy provides a very different view of the universe than optical astronomy. Radio astronomers and optical astronomers use astronomy. Radio astronomers talk about sources of radio emission. Cas A is a strong source, for example

Ellingson, Steven W.

267

John Ray in Italy: lost manuscripts rediscovered  

Science Journals Connector (OSTI)

...was an old borgo, others the praetorian camp. A slight shot or two beyond is the foundation...cabinets of the sixteenth- and seventeenth centuries, in The origins of museums (ed. Oliver...Marcello Malpighi and seventeenth-century anatomy (Johns Hopkins Press, Baltimore...

2014-01-01T23:59:59.000Z

268

John Charles Grant Ledingham. 1875-1944  

Science Journals Connector (OSTI)

1 February 1947 research-article John Charles Grant Ledingham. 1875-1944 S. P. Bedson The Royal Society is collaborating with JSTOR to digitize, preserve, and extend access to Obituary Notices of Fellows of the Royal Society. www.jstor.org

1947-01-01T23:59:59.000Z

269

Mechanical and Industrial Engineering John Stuart  

E-Print Network [OSTI]

Mechanical and Industrial Engineering John Stuart Paul Washburn Co-Chairs MIE IAB Meeting #12;2Mechanical and Industrial Engineering Dean Tim Anderson #12;3Mechanical and Industrial Engineering Strategic vision for growing College Goal Method Current resources #12;4Mechanical and Industrial Engineering

Mountziaris, T. J.

270

The Political Science Major Johns Hopkins University  

E-Print Network [OSTI]

The Political Science Major Johns Hopkins University The Department The programs of the Political Science department are designed to help students attain a deeper understanding of politics in its various dimensions. The department encourages students to become sophisticated theoretically and to study politics

Niebur, Ernst

271

Time (hole?) machines John Byron Manchak  

E-Print Network [OSTI]

Time (hole?) machines John Byron Manchak Department of Philosophy, University of Washington, Box machines Hole machines Time travel General relativity a b s t r a c t Within the context of general relativity, we consider a type of "time machine" and introduce the related "hole machine". We review what

Manchak, John

272

SOLAR DESALINATION John H. Lienhard,1,  

E-Print Network [OSTI]

CHAPTER 9 SOLAR DESALINATION John H. Lienhard,1, Mohamed A. Antar,2 Amy Bilton,1 Julian Blanco,3 Engineering, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, Massachusetts 02139, Saudi Arabia 3 Plataforma Solar de Almeria, Carretera de Senes s/n, 04200 Tabernas (Almeria), Spain 4

Lienhard V, John H.

273

GPU Acceleration of Numerical Weather John Michalakes  

E-Print Network [OSTI]

GPU Acceleration of Numerical Weather Prediction John Michalakes National Center for Atmospheric parallelism will prove ineffective for many scenarios. We present an alternative method of scaling model Exponentially increasing processor power has fueled fifty years of continuous improvement in weather and climate

Colorado at Boulder, University of

274

College of Engineering John V. Lombardi  

E-Print Network [OSTI]

creative and productive careers. Each year, through private support, the College of Engineering providesCollege of Engineering #12;John V. Lombardi Chancellor, University of Massachusetts Amherst #12, College of Engineering #12;We'd like to invite you to help us make the College of Engineering a place

Mountziaris, T. J.

275

Electric Grid - Forecasting system licensed | ornl.gov  

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

Electric Grid - Forecasting system licensed Location Based Technologies has signed an agreement to integrate and market an Oak Ridge National Laboratory technology that provides...

276

Managing Wind Power Forecast Uncertainty in Electric Grids.  

E-Print Network [OSTI]

??Electricity generated from wind power is both variable and uncertain. Wind forecasts provide valuable information for wind farm management, but they are not perfect. Chapter (more)

Mauch, Brandon Keith

2012-01-01T23:59:59.000Z

277

Forecasting supply/demand and price of ethylene feedstocks  

SciTech Connect (OSTI)

The history of the petrochemical industry over the past ten years clearly shows that forecasting in a turbulent world is like trying to predict tomorrow's headlines.

Struth, B.W.

1984-08-01T23:59:59.000Z

278

PBL FY 2003 Third Quarter Review Forecast of Generation Accumulated...  

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

for Financial-Based Cost Recovery Adjustment Clause (FB CRAC) and Safety-Net Cost Recovery Adjustment Clause (SN CRAC) FY 2003 Third Quarter Review Forecast in Millions...

279

FY 2004 Second Quarter Review Forecast of Generation Accumulated...  

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

for Financial-Based Cost Recovery Adjustment Clause (FB CRAC) and Safety-Net Cost Recovery Adjustment Clause (SN CRAC) FY 2004 Second Quarter Review Forecast In Millions...

280

Integrating agricultural pest biocontrol into forecasts of energy biomass production  

E-Print Network [OSTI]

Analysis Integrating agricultural pest biocontrol into forecasts of energy biomass production T pollution, greenhouse gas emissions, and soil erosion (Nash, 2007; Searchinger et al., 2008). On the other

Gratton, Claudio

Note: This page contains sample records for the topic "forecasting oiaf john" 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

A review of "De Doctrina Christina. Volume VIII of The Complete Works of John Milton" by John Milton, edited by John K. Hale and J. Donald Cullington  

E-Print Network [OSTI]

#15;#16; #29;#28;#27;#28;#26;#25;#28;#28;#26;#25;#24;-#23;#28;#26;#25;#22;#21;#20; #26;#28;#19;#29; John Milton. De Doctrina Christiana. Volume VIII of #31;e Complete Works of John Milton, ed. John K. Hale and J. Donald Cullington. Oxford: Oxford...;rst translator, Charles Sumner, renders as ?contingent decrees.? John Carey, the sec- ond translator, verbosely retranslates the phrase as ?making decrees in a non-absolute way? and our editors, most absurdly, as ?non-absolute decreeing? (#14...

Mulryan, John

2013-01-01T23:59:59.000Z

282

Forecasting for inventory control with exponential smoothing  

Science Journals Connector (OSTI)

Exponential smoothing, often used in sales forecasting for inventory control, has always been rationalized in terms of statistical models that possess errors with constant variances. It is shown in this paper that exponential smoothing remains appropriate under more general conditions, where the variance is allowed to grow or contract with corresponding movements in the underlying level. The implications for estimation and prediction are explored. In particular, the problem of finding the predictive distribution of aggregate lead-time demand, for use in inventory control calculations, is considered using a bootstrap approach. A method for establishing order-up-to levels directly from the simulated predictive distribution is also explored.

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

2002-01-01T23:59:59.000Z

283

Probabilistic Verification of Global and Mesoscale Ensemble Forecasts of Tropical Cyclogenesis  

Science Journals Connector (OSTI)

Probabilistic forecasts of tropical cyclogenesis have been evaluated for two samples: a near-homogeneous sample of ECMWF and Weather Research and Forecasting (WRF) Modelensemble Kalman filter (EnKF) ensemble forecasts during the National Science ...

Sharanya J. Majumdar; Ryan D. Torn

2014-10-01T23:59:59.000Z

284

JOHNS HOPKINS UNIVERSITY Department of Economics  

E-Print Network [OSTI]

9:00 Mattin 162 15 TH 10:30 Dunning 212 3 F 9:00 Gilman 75 16 TH 12:00 Mattin 162 4 TH 12:00 Mattin-3:50 Hodson 216 180.336 Art & Science of Econ Forecasting Barbera TH 1- 3 Dunning 206 180.337 Financial. of Micro Hamilton MW 9-9:50 Hodson 110 Sections: 1 F 9:00 Mattin 160 Sections: 13 TH 10:30 Maryland 109 2 F

Niebur, Ernst

285

TO : John T. Sherman, Assistant Director for  

Office of Legacy Management (LM)

John T. Sherman, Assistant Director for John T. Sherman, Assistant Director for DATE: February 26, 1957 Domestic Procurement FROM : E.G. Vanhlarcom 'I ~~,&k,(+~~~ - i,;;, : : . .,,)_! ,A:!' SUBJ=T: SOLVENT XTHACTION OF PHOSPXMIC ACT 'On the occasion of my visit to the Dow Chemical Laboratory February 13th, I took the opportunity to discuss with them their original work on the use of solvent extraction for recovering- uranium from phosphoric acid. I told them that it was my under- standing that the operating companies in Florida were experiencing serl.cus loss of solvent and consequent high cost of this product. Er. Bailes and Ray Long explained to me that they had done the original work which was all reported in Dow--8. They said that they had worked cooperatively with both the Florida companies and with

286

Random switching exponential smoothing and inventory forecasting  

Science Journals Connector (OSTI)

Abstract Exponential smoothing models represent an important prediction tool both in business and in macroeconomics. This paper provides the analytical forecasting properties of the random coefficient exponential smoothing model in the multiple source of error framework. The random coefficient state-space representation allows for switching between simple exponential smoothing and local linear trend. Therefore it enables controlling, in a flexible manner, the random changing dynamic behavior of the time series. The paper establishes the algebraic mapping between the state-space parameters and the implied reduced form ARIMA parameters. In addition, it shows that the parametric mapping allows overcoming the difficulties that are likely to emerge in estimating directly the random coefficient state-space model. Finally, it presents an empirical application comparing the forecast accuracy of the suggested model vis--vis other benchmark models, both in the ARIMA and in the exponential smoothing class. Using time series relative to wholesalers inventories in the USA, the out-of-sample results show that the reduced form of the random coefficient exponential smoothing model tends to be superior to its competitors.

Giacomo Sbrana; Andrea Silvestrini

2014-01-01T23:59:59.000Z

287

Voluntary Green Power Market Forecast through 2015  

SciTech Connect (OSTI)

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

288

Expert Panel: Forecast Future Demand for Medical Isotopes  

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

Expert Panel: Expert Panel: Forecast Future Demand for Medical Isotopes March 1999 Expert Panel: Forecast Future Demand for Medical Isotopes September 25-26, 1998 Arlington, Virginia The Expert Panel ............................................................................................. Page 1 Charge To The Expert Panel........................................................................... Page 2 Executive Summary......................................................................................... Page 3 Introduction ...................................................................................................... Page 4 Rationale.......................................................................................................... Page 6 Economic Analysis...........................................................................................

289

A robust automatic phase-adjustment method for financial forecasting  

Science Journals Connector (OSTI)

In this work we present the robust automatic phase-adjustment (RAA) method to overcome the random walk dilemma for financial time series forecasting. It consists of a hybrid model composed of a qubit multilayer perceptron (QuMLP) with a quantum-inspired ... Keywords: Financial forecasting, Hybrid models, Quantum-inspired evolutionary algorithm, Qubit multilayer perceptron, Random walk dilemma

Ricardo de A. Arajo

2012-03-01T23:59:59.000Z

290

Short term forecasting of solar radiation based on satellite data  

E-Print Network [OSTI]

Short term forecasting of solar radiation based on satellite data Elke Lorenz, Annette Hammer University, D-26111 Oldenburg Forecasting of solar irradiance will become a major issue in the future integration of solar energy resources into existing energy supply structures. Fluctuations of solar irradiance

Heinemann, Detlev

291

Developing electricity forecast web tool for Kosovo market  

Science Journals Connector (OSTI)

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

Blerim Rexha; Arben Ahmeti; Lule Ahmedi; Vjollca Komoni

2011-02-01T23:59:59.000Z

292

FORECASTING WATER DEMAND USING CLUSTER AND REGRESSION ANALYSIS  

E-Print Network [OSTI]

resources resulting in water stress. Effective water management ­ a solution Supply side management Demand side management #12;Developing a regression equation based on cluster analysis for forecasting waterFORECASTING WATER DEMAND USING CLUSTER AND REGRESSION ANALYSIS by Bruce Bishop Professor of Civil

Keller, Arturo A.

293

Impact of PV forecasts uncertainty in batteries management in microgrids  

E-Print Network [OSTI]

production forecast algorithm is used in combination with a battery schedule optimisation algorithm. The size. On the other hand if forecasted high production events do not occur, the cost of de- optimisation Energies and Energy Systems Sophia Antipolis, France andrea.michiorri@mines-paristech.fr Abstract

Paris-Sud XI, Université de

294

Revised 1997 Retail Electricity Price Forecast Principal Author: Ben Arikawa  

E-Print Network [OSTI]

Revised 1997 Retail Electricity Price Forecast March 1998 Principal Author: Ben Arikawa Electricity 1997 FORE08.DOC Page 1 CALIFORNIA ENERGY COMMISSION ELECTRICITY ANALYSIS OFFICE REVISED 1997 RETAIL ELECTRICITY PRICE FORECAST Introduction The Electricity Analysis Office of the California Energy Commission

295

Calibrated Probabilistic Forecasting at the Stateline Wind Energy Center  

E-Print Network [OSTI]

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

Washington at Seattle, University of

296

A Transformed Lagged Ensemble Forecasting Technique for Increasing Ensemble Size  

E-Print Network [OSTI]

A Transformed Lagged Ensemble Forecasting Technique for Increasing Ensemble Size Andrew. R.Lawrence@ecmwf.int #12;Abstract An ensemble-based data assimilation approach is used to transform old en- semble. The impact of the transformations are propagated for- ward in time over the ensemble's forecast period

Hansens, Jim

297

Improving baseline forecasts in a 500-industry dynamic CGE model of the USA.  

E-Print Network [OSTI]

??MONASH-style CGE models have been used to generate baseline forecasts illustrating how an economy is likely to evolve through time. One application of such forecasts (more)

Mavromatis, Peter George

2013-01-01T23:59:59.000Z

298

E-Print Network 3.0 - africa conditional forecasts Sample Search...  

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

Search Powered by Explorit Topic List Advanced Search Sample search results for: africa conditional forecasts Page: << < 1 2 3 4 5 > >> 1 COLORADO STATE UNIVERSITY FORECAST...

299

Uncertainty Reduction in Power Generation Forecast Using Coupled Wavelet-ARIMA  

SciTech Connect (OSTI)

In this paper, we introduce a new approach without implying normal distributions and stationarity of power generation forecast errors. In addition, it is desired to more accurately quantify the forecast uncertainty by reducing prediction intervals of forecasts. We use automatically coupled wavelet transform and autoregressive integrated moving-average (ARIMA) forecasting to reflect multi-scale variability of forecast errors. The proposed analysis reveals slow-changing quasi-deterministic components of forecast errors. This helps improve forecasts produced by other means, e.g., using weather-based models, and reduce forecast errors prediction intervals.

Hou, Zhangshuan; Etingov, Pavel V.; Makarov, Yuri V.; Samaan, Nader A.

2014-10-27T23:59:59.000Z

300

EIA - Forecasts and Analysis of Energy Data  

Gasoline and Diesel Fuel Update (EIA)

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

Note: This page contains sample records for the topic "forecasting oiaf john" 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

EIA - Forecasts and Analysis of Energy Data  

Gasoline and Diesel Fuel Update (EIA)

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

302

Annual Energy Outlook 1998 Forecasts - Preface  

Gasoline and Diesel Fuel Update (EIA)

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

303

EIA - Forecasts and Analysis of Energy Data  

Gasoline and Diesel Fuel Update (EIA)

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

304

Volatility forecasting with smooth transition exponential smoothing  

Science Journals Connector (OSTI)

Adaptive exponential smoothing methods allow smoothing parameters to change over time, in order to adapt to changes in the characteristics of the time series. This paper presents a new adaptive method for predicting the volatility in financial returns. It enables the smoothing parameter to vary as a logistic function of user-specified variables. The approach is analogous to that used to model time-varying parameters in smooth transition generalised autoregressive conditional heteroskedastic (GARCH) models. These non-linear models allow the dynamics of the conditional variance model to be influenced by the sign and size of past shocks. These factors can also be used as transition variables in the new smooth transition exponential smoothing (STES) approach. Parameters are estimated for the method by minimising the sum of squared deviations between realised and forecast volatility. Using stock index data, the new method gave encouraging results when compared to fixed parameter exponential smoothing and a variety of GARCH models.

James W. Taylor

2004-01-01T23:59:59.000Z

305

Incorporating Forecast Uncertainty in Utility Control Center  

SciTech Connect (OSTI)

Uncertainties in forecasting the output of intermittent resources such as wind and solar generation, as well as system loads are not adequately reflected in existing industry-grade tools used for transmission system management, generation commitment, dispatch and market operation. There are other sources of uncertainty such as uninstructed deviations of conventional generators from their dispatch set points, generator forced outages and failures to start up, load drops, losses of major transmission facilities and frequency variation. These uncertainties can cause deviations from the system balance, which sometimes require inefficient and costly last minute solutions in the near real-time timeframe. This Chapter considers sources of uncertainty and variability, overall system uncertainty model, a possible plan for transition from deterministic to probabilistic methods in planning and operations, and two examples of uncertainty-based fools for grid operations.This chapter is based on work conducted at the Pacific Northwest National Laboratory (PNNL)

Makarov, Yuri V.; Etingov, Pavel V.; Ma, Jian

2014-07-09T23:59:59.000Z

306

VALETT, H. MAURICE, JOHN A. MORRICE, CLIFFORD N. DAHM ...  

Science Journals Connector (OSTI)

H. Maurice Valett, John A. Morrice, and Cl@ord N. Dahm. Department of Biology ...... bridge. STANFORD, J., AND J. V. WARD. 1993. An ecosystem perspec-.

307

Keys to Successful Feedback - John Settle PowerPoint Presentation...  

Office of Environmental Management (EM)

Transportation of Radioactive Materials Keys to Successful Feedback - John Settle PowerPoint Presentation Leadership Development Readings May 14, 2014 - "Your Brain on Conflict"...

308

MEMORANDUM FOR: JOHN CONTI ASSISTANT ADMINISTRATOR FOR ENERGY  

Gasoline and Diesel Fuel Update (EIA)

4, 2012 MEMORANDUM FOR: JOHN CONTI ASSISTANT ADMINISTRATOR FOR ENERGY ANALYSIS PAUL HOLTBERG TEAM LEADER ANALYSIS INTEGRATION TEAM JIM TURNURE DIRECTOR OFFICE OF ENERGY CONSUMPTION...

309

John S. Wright Forestry Center Room Sizes, Capacities, and Rates  

E-Print Network [OSTI]

Appendix 1 John S. Wright Forestry Center Room Sizes, Capacities, and Rates Room College the Wright Center contact: Marlene Mann, Administrative Assistant Forestry and Natural Resources Voice: 765

310

NREL: Photovoltaics Research - John F. Geisz, Ph.D.  

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

Dr. John Geisz is a principal scientist in the High Efficiency Crystalline Photovoltaics Group at NREL. He received his doctorate in chemical engineering from the...

311

Annual Energy Outlook Forecast Evaluation - Tables  

Gasoline and Diesel Fuel Update (EIA)

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

312

Coal production forecast and low carbon policies in China  

Science Journals Connector (OSTI)

With rapid economic growth and industrial expansion, China consumes more coal than any other nation. Therefore, it is particularly crucial to forecast China's coal production to help managers make strategic decisions concerning China's policies intended to reduce carbon emissions and concerning the country's future needs for domestic and imported coal. Such decisions, which must consider results from forecasts, will have important national and international effects. This article proposes three improved forecasting models based on grey systems theory: the Discrete Grey Model (DGM), the Rolling DGM (RDGM), and the p value RDGM. We use the statistical data of coal production in China from 1949 to 2005 to validate the effectiveness of these improved models to forecast the data from 2006 to 2010. The performance of the models demonstrates that the p value RDGM has the best forecasting behaviour over this historical time period. Furthermore, this paper forecasts coal production from 2011 to 2015 and suggests some policies for reducing carbon and other emissions that accompany the rise in forecasted coal production.

Jianzhou Wang; Yao Dong; Jie Wu; Ren Mu; He Jiang

2011-01-01T23:59:59.000Z

313

U.S. Regional Demand Forecasts Using NEMS and GIS  

SciTech Connect (OSTI)

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

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

2005-07-01T23:59:59.000Z

314

Measuring the forecasting accuracy of models: evidence from industrialised countries  

Science Journals Connector (OSTI)

This paper uses the approach suggested by Akrigay (1989), Tse and Tung (1992) and Dimson and Marsh (1990) to examine the forecasting accuracy of stock price index models for industrialised markets. The focus of this paper is to compare the Mean Absolute Percentage Error (MAPE) of three models, that is, the Random Walk model, the Single Exponential Smoothing model and the Conditional Heteroskedastic model with the MAPE of the benchmark Naive Forecast 1 case. We do not evidence that a single model to provide better forecasting accuracy results compared to other models.

Athanasios Koulakiotis; Apostolos Dasilas

2009-01-01T23:59:59.000Z

315

MagLab - Pioneers in Electricity and Magnetism: John Daniel Kraus  

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

Tweet Arrow John Daniel Kraus (1910-2004) John Daniel Kraus (1910-2004) For a man whose career involved entire known universe, John Kraus had a remarkably insular upbringing. He...

316

Solar irradiance forecasting at multiple time horizons and novel methods to evaluate uncertainty  

E-Print Network [OSTI]

Solar irradiance data . . . . . . . . . . . . .Accuracy . . . . . . . . . . . . . . . . . Solar Resourcev Uncertainty In Solar Resource: Forecasting

Marquez, Ricardo

2012-01-01T23:59:59.000Z

317

18 Bureau of Meteorology Annual Report 201314 Hazards, warnings and forecasts  

E-Print Network [OSTI]

and numerical prediction models. #12;19Bureau of Meteorology Annual Report 2013­14 2 Performance Performance programs: · Weather forecasting services; · Flood forecasting and warning services; · Hazard prediction, Warnings and Forecasts portfolio provides a range of forecast and warning services covering weather, ocean

Greenslade, Diana

318

DOE-EIA-0484(2010)  

Gasoline and Diesel Fuel Update (EIA)

10) 10) 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 1 0 July 2010 U.S. Energy Information Administration Office of Integrated Analysis and Forecasting 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 publication is on the WEB at: www.eia.gov/oiaf/ieo/index.html. Contacts The International Energy Outlook is prepared by the U.S. Energy Information Administration (EIA). General questions concerning the contents of the report should be referred to John J. Conti, Director,

319
320

FIA-14-0021 - In the Matter of John Qualls | Department of Energy  

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

of John Qualls John Qualls appealed a FOIA determination that the DOE's Bonneville Power Administration (BPA) issued to him regarding March 2014 Freedom of Information Act...

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


321

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

Open Energy Info (EERE)

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

322

Adaptive sampling and forecasting with mobile sensor networks  

E-Print Network [OSTI]

This thesis addresses planning of mobile sensor networks to extract the best information possible out of the environment to improve the (ensemble) forecast at some verification region in the future. To define the information ...

Choi, Han-Lim

2009-01-01T23:59:59.000Z

323

Pacific Adaptation Strategy Assistance Program Dynamical Seasonal Forecasting  

E-Print Network [OSTI]

Pacific Adaptation Strategy Assistance Program Dynamical Seasonal Forecasting Seasonal Prediction · POAMA · Issues for future Outline #12;Pacific Adaptation Strategy Assistance Program Major source Adaptation Strategy Assistance Program El Nino Mean State · Easterlies westward surface current upwelling

Lim, Eun-pa

324

Forecasting Volatility in Stock Market Using GARCH Models  

E-Print Network [OSTI]

Forecasting volatility has held the attention of academics and practitioners all over the world. The objective for this master's thesis is to predict the volatility in stock market by using generalized autoregressive ...

Yang, Xiaorong

2008-01-01T23:59:59.000Z

325

Exponential smoothing with covariates applied to electricity demand forecast  

Science Journals Connector (OSTI)

Exponential smoothing methods are widely used as forecasting techniques in industry and business. Their usual formulation, however, does not allow covariates to be used for introducing extra information into the forecasting process. In this paper, we analyse an extension of the exponential smoothing formulation that allows the use of covariates and the joint estimation of all the unknowns in the model, which improves the forecasting results. The whole procedure is detailed with a real example on forecasting the daily demand for electricity in Spain. The time series of daily electricity demand contains two seasonal patterns: here the within-week seasonal cycle is modelled as usual in exponential smoothing, while the within-year cycle is modelled using covariates, specifically two harmonic explanatory variables. Calendar effects, such as national and local holidays and vacation periods, are also introduced using covariates. [Received 28 September 2010; Revised 6 March 2011, 2 October 2011; Accepted 16 October 2011

José D. Bermúdez

2013-01-01T23:59:59.000Z

326

Initial conditions estimation for improving forecast accuracy in exponential smoothing  

Science Journals Connector (OSTI)

In this paper we analyze the importance of initial conditions in exponential smoothing models on forecast errors and prediction intervals. We work with certain exponential smoothing models, namely Holts additive...

E. Vercher; A. Corbern-Vallet; J. V. Segura; J. D. Bermdez

2012-07-01T23:59:59.000Z

327

A Bayesian approach to forecast intermittent demand for seasonal products  

Science Journals Connector (OSTI)

This paper investigates the forecasting of a large fluctuating seasonal demand prior to peak sale season using a practical time series, collected from the US Census Bureau. Due to the extreme natural events (e.g. excessive snow fall and calamities), sales may not occur, inventory may not replenish and demand may set off unrecorded during the peak sale season. This characterises a seasonal time series to an intermittent category. A seasonal autoregressive integrated moving average (SARIMA), a multiplicative exponential smoothing (M-ES) and an effective modelling approach using Bayesian computational process are analysed in the context of seasonal and intermittent forecast. Several forecast error indicators and a cost factor are used to compare the models. In cost factor analysis, cost is measured optimally using dynamic programming model under periodic review policy. Experimental results demonstrate that Bayesian model performance is much superior to SARIMA and M-ES models, and efficient to forecast seasonal and intermittent demand.

Mohammad Anwar Rahman; Bhaba R. Sarker

2012-01-01T23:59:59.000Z

328

Review/Verify Strategic Skills Needs/Forecasts/Future Mission...  

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

ReviewVerify Strategic Skills NeedsForecastsFuture Mission Shifts Annual Lab Plan (1-10 yrs) Fermilab Strategic Agenda (2-5 yrs) Sector program Execution Plans (1-3...

329

A Parameter for Forecasting Tornadoes Associated with Landfalling Tropical Cyclones  

Science Journals Connector (OSTI)

The authors develop a statistical guidance product, the tropical cyclone tornado parameter (TCTP), for forecasting the probability of one or more tornadoes during a 6-h period that are associated with landfalling tropical cyclones affecting the ...

Matthew J. Onderlinde; Henry E. Fuelberg

2014-10-01T23:59:59.000Z

330

Wind Power Forecasting: State-of-the-Art 2009  

E-Print Network [OSTI]

Wind Power Forecasting: State-of-the-Art 2009 ANL/DIS-10-1 Decision and Information Sciences about Argonne and its pioneering science and technology programs, see www.anl.gov. #12;Wind Power

Kemner, Ken

331

2007 National Hurricane Center Forecast Verification Report James L. Franklin  

E-Print Network [OSTI]

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

332

Recently released EIA report presents international forecasting data  

SciTech Connect (OSTI)

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

NONE

1995-05-01T23:59:59.000Z

333

FINAL DEMAND FORECAST FORMS AND INSTRUCTIONS FOR THE 2007  

E-Print Network [OSTI]

......................................................................... 11 3. Demand Side Management (DSM) Program Impacts................................... 13 4. Demand Sylvia Bender Manager DEMAND ANALYSIS OFFICE Scott W. Matthews Chief Deputy Director B.B. Blevins Forecast Methods and Models ....................................................... 14 5. Demand-Side

334

Information-Based Skill Scores for Probabilistic Forecasts  

Science Journals Connector (OSTI)

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

Bodo Ahrens; Andr Walser

2008-01-01T23:59:59.000Z

335

A methodology for forecasting carbon dioxide flooding performance  

E-Print Network [OSTI]

A methodology was developed for forecasting carbon dioxide (CO2) flooding performance quickly and reliably. The feasibility of carbon dioxide flooding in the Dollarhide Clearfork "AB" Unit was evaluated using the methodology. This technique is very...

Marroquin Cabrera, Juan Carlos

2012-06-07T23:59:59.000Z

336

Evolutionary Optimization of an Ice Accretion Forecasting System  

Science Journals Connector (OSTI)

The ability to model and forecast accretion of ice on structures is very important for many industrial sectors. For example, studies conducted by the power transmission industry indicate that the majority of failures are caused by icing on ...

Pawel Pytlak; Petr Musilek; Edward Lozowski; Dan Arnold

2010-07-01T23:59:59.000Z

337

Diagnosing the Origin of Extended-Range Forecast Errors  

Science Journals Connector (OSTI)

Experiments with the ECMWF model are carried out to study the influence that a correct representation of the lower boundary conditions, the tropical atmosphere, and the Northern Hemisphere stratosphere would have on extended-range forecast skill ...

T. Jung; M. J. Miller; T. N. Palmer

2010-06-01T23:59:59.000Z

338

Application of an Improved SVM Algorithm for Wind Speed Forecasting  

Science Journals Connector (OSTI)

An improved Support Vector Machine (SVM) algorithm is used to forecast wind in Doubly Fed Induction Generator (DFIG) wind power system without aerodromometer. The ... Validation (CV) method. Finally, 3.6MW DFIG w...

Huaqiang Zhang; Xinsheng Wang; Yinxiao Wu

2011-01-01T23:59:59.000Z

339

Research on Development Trends of Power Load Forecasting Methods  

Science Journals Connector (OSTI)

In practical problem, number of samples is often limited, for complex issues such as power load forecasting, generally available historical data and information of impact factor are very ... support vector mechan...

Litong Dong; Jun Xu; Haibo Liu; Ying Guo

2014-01-01T23:59:59.000Z

340

Representing Forecast Error in a Convection-Permitting Ensemble System  

Science Journals Connector (OSTI)

Ensembles provide an opportunity to greatly improve short-term prediction of local weather hazards, yet generating reliable predictions remain a significant challenge. In particular, convection-permitting ensemble forecast systems (CPEFSs) have ...

Glen S. Romine; Craig S. Schwartz; Judith Berner; Kathryn R. Fossell; Chris Snyder; Jeff L. Anderson; Morris L. Weisman

2014-12-01T23:59:59.000Z

Note: This page contains sample records for the topic "forecasting oiaf john" 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

Weather Research and Forecasting Model 2.2 Documentation  

E-Print Network [OSTI]

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

Sadjadi, S. Masoud

342

Network Bandwidth Utilization Forecast Model on High Bandwidth Network  

SciTech Connect (OSTI)

With the increasing number of geographically distributed scientific collaborations and the scale of the data size growth, it has become more challenging for users to achieve the best possible network performance on a shared network. We have developed a forecast model to predict expected bandwidth utilization for high-bandwidth wide area network. The forecast model can improve the efficiency of resource utilization and scheduling data movements on high-bandwidth network to accommodate ever increasing data volume for large-scale scientific data applications. Univariate model is developed with STL and ARIMA on SNMP path utilization data. Compared with traditional approach such as Box-Jenkins methodology, our forecast model reduces computation time by 83.2percent. It also shows resilience against abrupt network usage change. The accuracy of the forecast model is within the standard deviation of the monitored measurements.

Yoo, Wucherl; Sim, Alex

2014-07-07T23:59:59.000Z

343

Wind Speed Forecasting Using a Hybrid Neural-Evolutive Approach  

Science Journals Connector (OSTI)

The design of models for time series prediction has found a solid foundation on statistics. Recently, artificial neural networks have been a good choice as approximators to model and forecast time series. Designing a neural network that provides a good ...

Juan J. Flores; Roberto Loaeza; Hctor Rodrguez; Erasmo Cadenas

2009-11-01T23:59:59.000Z

344

John Hunter and his Influence on Scientific Progress1  

Science Journals Connector (OSTI)

... and achievements of a few great personalitiesHippocrates, Celsus, Galen, Par, Harvey, and John Hunter, to name only the greatest. ... Hunter, to name only the greatest. John Hunter is the theme which has been assigned to me. Throughout the ages of ...

1905-02-23T23:59:59.000Z

345

Sir John Bennet Lawes, Bart., F.R.S.  

Science Journals Connector (OSTI)

... In boyhood Sir John Lawes had somehow imbibed a taste for chemistry. He has told in his own ... or four years elapsed before any experiments were made on agricultural subjects. In 1837 Sir John Lawes commenced growing plants in pots with various substances applied as manure, and more ...

R. WARINGTON

1900-09-13T23:59:59.000Z

346

Sir John Lubbock and the Teaching University for London  

Science Journals Connector (OSTI)

... THE address in which Sir John Lubbock solicits the suffrages of the Electors of the University of London has aroused feelings ... support in the University (cf. vol. 1. 269; li. 298), Sir John Lubbock refers only to the views of its opponents, and, in accepting them, ...

1895-07-11T23:59:59.000Z

347

A Tribute to Sir John McFadyean  

Science Journals Connector (OSTI)

... IT was a happy thought that prompted some of his colleagues to obtain Sir John McFadyean's consent to allow them to design and edit the December (1937) number ... forms the conclusion of the fiftieth volume of the journal, which was founded by Sir John McFadyean in 1888, and has since been edited by him almost entirely single-handed, ...

1938-06-04T23:59:59.000Z

348

THE UNIVERSITY OF CONNECTICUT HEALTH CENTER JOHN DEMPSEY HOSPITAL  

E-Print Network [OSTI]

THE UNIVERSITY OF CONNECTICUT HEALTH CENTER JOHN DEMPSEY HOSPITAL ADMINISTRATIVE MANUAL SECTION: QUALITY MANAGEMENT NUMBER: 11-002 SUBJECT: RENTAL, DEMO, LOANER AND OTHER PAGE: 1 of 2 NON-HOSPITAL OWNED PATIENT CARE EQUIPMENT USED BY JOHN DEMPSEY HOSPITAL STAFF PURPOSE: To assure safe operational condition

Oliver, Douglas L.

349

THE UNIVERSITY OF CONNECTICUT HEALTH CENTER JOHN DEMPSEY HOSPITAL  

E-Print Network [OSTI]

THE UNIVERSITY OF CONNECTICUT HEALTH CENTER JOHN DEMPSEY HOSPITAL ADMINISTRATIVE MANUAL SECTION occasions, when the hospital census reaches surge capacity and there is potential for diverting ambulances from John Dempsey Hospital to other facilities, the Nursing Supervisor will contact the CEO or designee

Oliver, Douglas L.

350

A Skeptic's Guide to Computer Models by John D. Sterman  

E-Print Network [OSTI]

(Grant 1988). #12;D-4101-1 A SKEPTIC'S GUIDE TO COMPUTER MODELS 2 The Inevitability of Using ModelsA Skeptic's Guide to Computer Models by John D. Sterman This article was written by Dr. John D. Sterman, Director of the MIT System Dynamics Group and Professor of Management Science at the Sloan School

351

Radio Wave Propagation in Potato Fields John Thelen  

E-Print Network [OSTI]

Radio Wave Propagation in Potato Fields John Thelen Wageningen University Email: John nodes. This paper reports on an extensive set of measurements taken in a potato field, where the foliage of the potato crop is significant. We observed a reduction of 15 dB in signal strength at 15 m between nodes

Kuzmanov, Georgi

352

LEARNING WITH DETERMINANTAL POINT PROCESSES John A. Kulesza  

E-Print Network [OSTI]

, and natural lan- guage processing. By making multiple interrelated decisions at once, these methods canLEARNING WITH DETERMINANTAL POINT PROCESSES John A. Kulesza A DISSERTATION in Computer, without whom nothing would be worthwhile. ii #12;ABSTRACT LEARNING WITH DETERMINANTAL POINT PROCESSES John

Plotkin, Joshua B.

353

Functional Hybrid Modeling Henrik Nilsson, John Peterson, and Paul Hudak  

E-Print Network [OSTI]

populated, class #12;of language is non-causal (or object-oriented1 ), where the model focusesFunctional Hybrid Modeling Henrik Nilsson, John Peterson, and Paul Hudak Department of Computer Science, Yale University, P.O. Box 208285 New Haven, CT 06520-8285 U.S.A. {Henrik.Nilsson, John

Nilsson, Henrik

354

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

355

John C. Barnes of Savannah River Operations named 2012 Facility  

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

John C. Barnes of Savannah River Operations named 2012 Facility John C. Barnes of Savannah River Operations named 2012 Facility Representative of the Year John C. Barnes of Savannah River Operations named 2012 Facility Representative of the Year August 20, 2013 - 8:27am Addthis John C. Barnes of Savannah River Operations named 2012 Facility Representative of the Year About 200 Department of Energy (DOE) federal employees are Facility Representatives (FR) who provide day-to-day oversight of contractor operations at DOE facilities. Each year the Department presents the FR of the Year Award to recognize superior service. Mr. John C. Barnes from the Savannah River Operations Office was selected from a field of sixteen nominees as the 2012 DOE FR of the Year. He is responsible for operational oversight of key facilities at the Savannah River Site, including the F and

356

Annual Energy Outlook with Projections to 2025 - Forecast Comparisons  

Gasoline and Diesel Fuel Update (EIA)

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

357

Weather-based forecasts of California crop yields  

SciTech Connect (OSTI)

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

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

2005-09-26T23:59:59.000Z

358

Wave height forecasting in Dayyer, the Persian Gulf  

Science Journals Connector (OSTI)

Forecasting of wave parameters is necessary for many marine and coastal operations. Different forecasting methodologies have been developed using the wind and wave characteristics. In this paper, artificial neural network (ANN) as a robust data learning method is used to forecast the wave height for the next 3, 6, 12 and 24h in the Persian Gulf. To determine the effective parameters, different models with various combinations of input parameters were considered. Parameters such as wind speed, direction and wave height of the previous 3h, were found to be the best inputs. Furthermore, using the difference between wave and wind directions showed better performance. The results also indicated that if only the wind parameters are used as model inputs the accuracy of the forecasting increases as the time horizon increases up to 6h. This can be due to the lower influence of previous wave heights on larger lead time forecasting and the existing lag between the wind and wave growth. It was also found that in short lead times, the forecasted wave heights primarily depend on the previous wave heights, while in larger lead times there is a greater dependence on previous wind speeds.

B. Kamranzad; A. Etemad-Shahidi; M.H. Kazeminezhad

2011-01-01T23:59:59.000Z

359

SOLAR-POWERED AUTONOMOUS UNDERWATER VEHICLE DEVELOPMENT James Jalbert, John Baker, John Duchesney, Paul Pietryka, William Dalton  

E-Print Network [OSTI]

batteries daily using solar panels to convert solar energy to electrical energy. #12;· Operate at depthsSOLAR-POWERED AUTONOMOUS UNDERWATER VEHICLE DEVELOPMENT James Jalbert, John Baker, John Duchesney in such applications. The concept of a vehicle that would allow on-station recharging of batteries, using solar cells

360

Review of the National Ignition Campaign 2009-2012 John Lindl, Otto Landen, John Edwards, Ed Moses, and NIC Team  

E-Print Network [OSTI]

for the target, laser, and diagnostics with the understanding that not all ignition physics is fully understoodReview of the National Ignition Campaign 2009-2012 John Lindl, Otto Landen, John Edwards, Ed Moses://scitation.aip.org/termsconditions. Downloaded to IP: 198.125.181.33 On: Wed, 05 Mar 2014 18:15:06 #12;Review of the National Ignition Campaign

Note: This page contains sample records for the topic "forecasting oiaf john" 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

JOHNS HOPKINS ENGINEERING FALL 2010 1 The magazine of The Johns hopkins WhiTing school of engineering spring 2011  

E-Print Network [OSTI]

of engineering spring 2011 Incubate This! Great ideas hatch here. JOHNS HOPKINS Plus: Announcing Malone Hall school community. #12;JOHNS HOPKINS ENGINEERING SPRING 2011 1 Big Ideas! 3 Insights and Discovery, thanks to an enterprising new breed of engineers. By Mat Edelson SPRING 2011 Coverillustration:roy

Connor, Ed

362

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

E-Print Network [OSTI]

of the Department of Energy's Office of Industrial Technologies, EIA extracted energy use infonnation from the Annual Energy Outlook (AEO) - 2000 (8) for each of the seven # The Pacific Northwest National Laboratory is operated by Battelle Memorial Institute...-6, 2000 NEMS The NEMS industrial module is the official forecasting model for EIA and thus the Department of Energy. For this reason, the energy prices and output forecasts used to drive the ITEMS model were taken from EIA's AEO 2000. Understanding...

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

363

John Wheble Associates Ltd | Open Energy Information  

Open Energy Info (EERE)

Wheble Associates Ltd Wheble Associates Ltd Jump to: navigation, search Name John Wheble & Associates Ltd. Place Houston, Texas Zip 77056 Sector Geothermal energy, Wind energy Product A geothermal development firm with focus on Asia started by Wheble who developed the Magma Nusantara Wayang Windu project in Indonesia between 1995 and 2001. Coordinates 29.76045°, -95.369784° 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":29.76045,"lon":-95.369784,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

364

John J. Dunn - Brookhaven National Laboratory  

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

John J. Dunn John J. Dunn (Deceased) Brookhaven National Laboratory From: 05/01/1973 - 07/13/2012 Past Research Interests Genome Signature Tags: It is well established that interactions between transcription factors and their cognate DNA binding sites form fundamental combinatorial networks within cells that control critical steps in gene expression. Currently, our understanding of how cells encode the diversity of information about where and when genes will be expressed is very limited. Cracking this 'regulatory code' by computational analysis and functional assays is a major problem in biology. The Dunn lab has combined Genomic Signature Tags (GSTs) technology, a method for identifying and quantitatively analyzing genomic DNAs originally devised in our lab, with chromatin immunoprecipitation (ChIP) assays to develop several whole genome, high-throughput, sequence-based approaches for delimiting the positions of bound regulatory proteins in living cells. In one protocol, pairs of 20-21 bp long GST's, derived from both ends of ChIP precipitated DNA fragments, are sequenced en masse to identify the genomic segments originally present in these complexes. Prior to sequencing, short bar-coding oligonucleotides are inserted between the GST pairs from each ChIP sample. The bar-codes allow different samples to be mixed and then sequenced in a multiplex format. We are also developing methods that will use antibodies biotinylated in vitro for ChIP to permit more stringent washing of the pulled-down samples. This should result in a higher signal to noise ration which would be advantageous for direct Solexa-based sequencing of the recovered ChIP DNA fragments.

365

A suite of metrics for assessing the performance of solar power forecasting  

Science Journals Connector (OSTI)

Abstract Forecasting solar energy generation is a challenging task because of the variety of solar power systems and weather regimes encountered. Inaccurate forecasts can result in substantial economic losses and power system reliability issues. One of the key challenges is the unavailability of a consistent and robust set of metrics to measure the accuracy of a solar forecast. This paper presents a suite of generally applicable and value-based metrics for solar forecasting for a comprehensive set of scenarios (i.e., different time horizons, geographic locations, and applications) that were developed as part of the U.S. Department of Energy SunShot Initiatives efforts to improve the accuracy of solar forecasting. In addition, a comprehensive framework is developed to analyze the sensitivity of the proposed metrics to three types of solar forecasting improvements using a design-of-experiments methodology in conjunction with response surface, sensitivity analysis, and nonparametric statistical testing methods. The three types of forecasting improvements are (i) uniform forecasting improvements when there is not a ramp, (ii) ramp forecasting magnitude improvements, and (iii) ramp forecasting threshold changes. Day-ahead and 1-hour-ahead forecasts for both simulated and actual solar power plants are analyzed. The results show that the proposed metrics can efficiently evaluate the quality of solar forecasts and assess the economic and reliability impacts of improved solar forecasting. Sensitivity analysis results show that (i) all proposed metrics are suitable to show the changes in the accuracy of solar forecasts with uniform forecasting improvements, and (ii) the metrics of skewness, kurtosis, and Rnyi entropy are specifically suitable to show the changes in the accuracy of solar forecasts with ramp forecasting improvements and a ramp forecasting threshold.

Jie Zhang; Anthony Florita; Bri-Mathias Hodge; Siyuan Lu; Hendrik F. Hamann; Venkat Banunarayanan; Anna M. Brockway

2015-01-01T23:59:59.000Z

366

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.

367

Survey of Variable Generation Forecasting in the West: August 2011 - June 2012  

SciTech Connect (OSTI)

This report surveyed Western Interconnection Balancing Authorities regarding their implementation of variable generation forecasting, the lessons learned to date, and recommendations they would offer to other Balancing Authorities who are considering variable generation forecasting. Our survey found that variable generation forecasting is at an early implementation stage in the West. Eight of the eleven Balancing Authorities interviewed began forecasting in 2008 or later. It also appears that less than one-half of the Balancing Authorities in the West are currently utilizing variable generation forecasting, suggesting that more Balancing Authorities in the West will engage in variable generation forecasting should more variable generation capacity be added.

Porter, K.; Rogers, J.

2012-04-01T23:59:59.000Z

368

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

SciTech Connect (OSTI)

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

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

1992-02-01T23:59:59.000Z

369

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

SciTech Connect (OSTI)

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

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

1992-02-01T23:59:59.000Z

370

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

371

A review of "John Donne: An Annotated Bibliography of Modern Criticism, 1979-1995." by John R. Roberts.  

E-Print Network [OSTI]

-century political and liter- ary culture. John R. Roberts. John Donne: An Annotated Bibliography of Modern Criticism, 1979- 1995. Pittsburgh: Duquesne UP, 2004. xxvii + 605 pp. $145. Review by DONALD R. DICKSON, TEXAS A&M UNIVERSITY Students of John Donne... war era); from 1968-1978, 1044 items; and from 1979-1995, 1572 items in toto. While considerable attention is still given to the Songs and Son- nets, we can also readily see that interest in other genres is on the rise. From 1912-1967, 61 items were...

Donald R. Dickson

2005-01-01T23:59:59.000Z

372

Numerical Simulation of 2010 Pakistan Flood in the Kabul River Basin by Using Lagged Ensemble Rainfall Forecasting  

Science Journals Connector (OSTI)

Lagged ensemble forecasting of rainfall and rainfallrunoffinundation (RRI) forecasting were applied to the devastating flood in the Kabul River basin, the first strike of the 2010 Pakistan flood. The forecasts were performed using the Global ...

Tomoki Ushiyama; Takahiro Sayama; Yuya Tatebe; Susumu Fujioka; Kazuhiko Fukami

2014-02-01T23:59:59.000Z

373

First NERSC Director John Killeen Dies at 87  

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

First NERSC Director First NERSC Director John Killeen Dies at 87 First NERSC Director John Killeen Dies at 87 August 24, 2012 Jon Bashor, Jbashor@lbl.gov, +1 510 486 5849 XBD9908-01785.jpg John Killeen, NERSC's founding director, also directed its two predecessors. John Killeen, the founding director of what is now known as the National Energy Research Scientific Computing Center (NERSC), died August 15, 2012 at age 87. Killeen led the Center from 1974 until 1990, when he retired. The Department of Energy conferred its highest honor, the Distinguished Associate Award, on Killeen in 1980 in recognition of his outstanding contribution to the magnetic fusion energy program. Initially known as the Controlled Thermonuclear Research Computer Center when established in 1974 at Lawrence Livermore National Laboratory, the

374

John J. MacWilliams | Department of Energy  

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

You are here You are here Home » John J. MacWilliams About Us John J. MacWilliams - Senior Advisor John J. MacWilliams John J. MacWilliams was appointed in June 2013 as Senior Advisor to the Secretary of Energy at the U.S. Department of Energy. In this role he serves as the Secretary's senior finance advisor and is a member of his national security team. Prior to DOE, he was a partner of Tremont Energy Partners, LLC, a private investment firm based in Cambridge, Massachusetts, that was formed in 2003. Prior to Tremont, he was Vice Chairman, Investment Banking, at JP Morgan Chase and a Partner of JP Morgan Partners. Mr. MacWilliams was a founding partner in 1993 of The Beacon Group, LLC, a private investment firm located in New York, which was acquired by JP Morgan Chase in 2000. He was also

375

DOE - Office of Legacy Management -- Johns Hopkins University - MD 02  

Office of Legacy Management (LM)

Johns Hopkins University - MD 02 Johns Hopkins University - MD 02 FUSRAP Considered Sites Site: JOHNS HOPKINS UNIVERSITY (MD.02 ) Eliminated from further consideration under FUSRAP Designated Name: Not Designated Alternate Name: None Location: Baltimore , Maryland MD.02-1 Evaluation Year: 1987 MD.02-2 Site Operations: Conducted spectroscopic studies under contract number AT(49-1)-309. MD.02-1 Site Disposition: Eliminated - Potential for contamination considered remote based on limited quantities of material used in a controlled environment MD.02-2 Radioactive Materials Handled: Yes Primary Radioactive Materials Handled: Tritium MD.02-1 Radiological Survey(s): None Indicated Site Status: Eliminated from further consideration under FUSRAP Also see Documents Related to JOHNS HOPKINS UNIVERSITY

376

City of St John, Kansas (Utility Company) | Open Energy Information  

Open Energy Info (EERE)

John, Kansas (Utility Company) John, Kansas (Utility Company) Jump to: navigation, search Name St John City of Place Kansas Utility Id 17879 Utility Location Yes Ownership M NERC Location SPP NERC SPP Yes RTO SPP Yes Operates Generating Plant Yes Activity Generation Yes Activity Distribution Yes References EIA Form EIA-861 Final Data File for 2010 - File1_a[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Utility Rate Schedules Grid-background.png Commercial Commercial Experimental Generation User Rate Residential Residential Average Rates Residential: $0.1120/kWh Commercial: $0.1090/kWh References ↑ "EIA Form EIA-861 Final Data File for 2010 - File1_a" Retrieved from "http://en.openei.org/w/index.php?title=City_of_St_John,_Kansas_(Utility_Company)&oldid=410278

377

Priority, property, and determinacy in John Rawl's theory of justice  

E-Print Network [OSTI]

John Rawls is famous, among other things, for defending two principles in his theory of justice. The first seeks to secure many of the traditional rights and liberties familiar in modern liberal democracies, while the second stipulates Rawls...

Garrett, Jeremy Ray

2012-06-07T23:59:59.000Z

378

MEMORANDUM FOR: JOHN CONTI ASSISTANT ADMINISTRATOR FOR ENERGY  

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

(ASE) Harvey, Stephen (EIA OES) 4 Henry, Dave (DOC) Holtberg, Paul (EIA OEA) Kelso, Jordan (D&R International) Laitner, Skip (ACEEE) Larsen, John (DOE PI) Leifman, Michael (GE)...

379

MEMORANDUM FOR: JOHN CONTI ASSISTANT ADMINISTRATOR FOR ENERGY  

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

(EIA OES) Henry, Dave (DOC) Holtberg, Paul (EIA OEA) Kaarsberg, Tina (DOE EERE) Kelso, Jordan (D&R International) Laitner, Skip (ACEEE) Larsen, John (DOE PI) Leifman, Michael (GE)...

380

KUALI COEUS PROJECT SPONSORS: Dana Roode, John Hemminger, Mark Warner  

E-Print Network [OSTI]

KUALI COEUS PROJECT SPONSORS: Dana Roode, John Hemminger, Mark Warner KUALI PROJECTS STEERING, Carmen Roode KUALI COEUS PROJECT MANAGEMENT TEAM: Carmen Roode, Nancy Lewis, Bruce Morgan PROJECT Desk; Documentation; Policies & Procedures TECHNICAL MANAGERS: Katya Sadovsky, Eric Taggart

Loudon, Catherine

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While these samples are representative of the content of NLEBeta,
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to obtain the most current and comprehensive results.


381

ALEX JOHN LONDON THE INDEPENDENCE OF PRACTICAL ETHICS  

E-Print Network [OSTI]

ALEX JOHN LONDON THE INDEPENDENCE OF PRACTICAL ETHICS ABSTRACT. After criticizing three common conceptions of the relationship between practical ethics and ethical theory, an alternative modeled on Aristotle's conception of the relationship between rhetoric and philosophical ethics is explored

Spirtes, Peter

382

REVIEW PLAN John Redmond Dam Reservoir, Coffee County, Kansas  

E-Print Network [OSTI]

#12;#12;REVIEW PLAN John Redmond Dam Reservoir, Coffee County, Kansas Reallocation Study Tulsa...................................................................................................................11 12. REVIEW PLAN APPROVAL AND UPDATES........................................................................................11 13. REVIEW PLAN POINTS OF CONTACT

US Army Corps of Engineers

383

HYDROGEN STORAGE IN CARBON NANOTUBES JOHN E. FISCHER  

E-Print Network [OSTI]

HYDROGEN STORAGE IN CARBON NANOTUBES JOHN E. FISCHER UNIVERSITY OF PENNSYLVANIA * SOME BASIC NOTIONS * BINDING SITES AND ENERGIES * PROCESSING TO ENHANCE CAPACITY: EX: ELECTROCHEMICAL Li INSERTION of Li+. AND: van der Waals interaction NANOTUBES CAPILLARITY: metals

384

Y-12s Training and Technology ? TAT and John Ray  

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

young student to attend TAT. Here is John Ray"s story: "I was a graduate of the Union Carbide Y-12 based Training and Technology Program in 1978. My family moved to Oak Ridge in...

385

Nirmala Khandan John W. Clark Professor, Civil Engineering Department,  

E-Print Network [OSTI]

Nirmala Khandan John W. Clark Professor, Civil Engineering Department, New Mexico State University projects in Sri Lanka Primary Research Interests Biohydrogen production from solid organic wastes; solar; renewable energy engineering; process modeling and simulation Professional Activities and Honors (last 6

Johnson, Eric E.

386

Pafnuty Chebyshev, Steam Engines, and Polynomials by John Albert  

E-Print Network [OSTI]

Pafnuty Chebyshev, Steam Engines, and Polynomials by John Albert OU Mathfest, January 2009 1 professorship at age 61, but continued to work on mathematics right up to his death at age 73. 2. Steam Engines

Albert, John

387

John Stuart Mill's Sanction Utilitarianism: A Philosophical and Historical Interpretation  

E-Print Network [OSTI]

This dissertation argues for a particular interpretation of John Stuart Mills utilitarianism, namely that Mill is best read as a sanction utilitarian. In general, scholars commonly interpret Mill as some type of act or rule utilitarian. In making...

Wright, David

2014-04-24T23:59:59.000Z

388

Generative Affine Localisation and Tracking John Winn Andrew Blake  

E-Print Network [OSTI]

Generative Affine Localisation and Tracking John Winn Andrew Blake Microsoft Research Cambridge://research.microsoft.com/mlp Abstract We present an extension to the Jojic and Frey (2001) layered sprite model which allows for layers

Winn, John

389

THE UNIVERSITY OF CONNECTICUT HEALTH CENTER JOHN DEMPSEY HOSPITAL  

E-Print Network [OSTI]

THE UNIVERSITY OF CONNECTICUT HEALTH CENTER JOHN DEMPSEY HOSPITAL ADMINISTRATIVE MANUAL SECTION residents) policy of the University of Connecticut Surgical Residency. This the same policy followed by other Capital Area Consortium teaching hospitals (Hartford Hospital, St. Francis Hospital, Connecticut

Oliver, Douglas L.

390

John M. Epifanio -Curriculum Vitae Center for Aquatic Ecology  

E-Print Network [OSTI]

John M. Epifanio - Curriculum Vitae Center for Aquatic Ecology Illinois Natural History Survey 607 AND ACADEMIC INTERESTS Conservation Genetics & Molecular Ecology ­ Examination of structure & function Ecology, Illinois Natural History Survey (INHS). 2000 - 2001 Assistant National Program Leader. Fisheries

391

John C. Layton: Before the Subcommittee on Oversight and Investigations  

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

the Subcommittee on Oversight and the Subcommittee on Oversight and Investigations Commerce Committee U.S. House of Representatives John C. Layton: Before the Subcommittee on Oversight and Investigations Commerce Committee U.S. House of Representatives October 9, 1997 Before the Subcommittee on Oversight and Investigations Commerce Committee U.S. House of Representatives Statement of John C. Layton, Inspector General Department of Energy Testify on the DOE management of its laboratories. Statement of John C. Layton Inspector General Department of Energy Before the Subcommittee on Oversight and Investigations Commerce Committee U.S. House of Representatives, Statement of John C. Layton Inspector General Department of Energy Before the Subcommittee on Oversight and Investigations Commerce Committee U.S.

392

Expert Panel: Forecast Future Demand for Medical Isotopes | Department of  

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

Expert Panel: Forecast Future Demand for Medical Isotopes Expert Panel: Forecast Future Demand for Medical Isotopes Expert Panel: Forecast Future Demand for Medical Isotopes The Expert Panel has concluded that the Department of Energy and National Institutes of Health must develop the capability to produce a diverse supply of radioisotopes for medical use in quantities sufficient to support research and clinical activities. Such a capability would prevent shortages of isotopes, reduce American dependence on foreign radionuclide sources and stimulate biomedical research. The expert panel recommends that the U.S. government build this capability around either a reactor, an accelerator or a combination of both technologies as long as isotopes for clinical and research applications can be supplied reliably, with diversity in adequate

393

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 Corbern-Vallet; Jos D. Bermdez; Enriqueta Vercher

2011-01-01T23:59:59.000Z

394

Application of GIS on forecasting water disaster in coal mines  

SciTech Connect (OSTI)

In many coal mines of China, water disasters occur very frequently. It is the most important problem that water gets inrush into drifts and coal faces, locally known as water gush, during extraction and excavation. Its occurrence is controlled by many factors such as geological, hydrogeological and mining technical conditions, and very difficult to be predicted and prevented by traditional methods. By making use of overlay analysis of Geographic Information System, a multi-factor model can be built to forecast the potential of water gush. This paper introduced the method of establishment of the water disaster forecasting system and forecasting model and two practical successful cases of application in Jiaozuo and Yinzhuang coal mines. The GIS proved helpful for ensuring the safety of coal mines.

Sun Yajun; Jiang Dong; Ji Jingxian [China Univ. of Mining and Technology, Jiangshy (China)] [and others

1996-08-01T23:59:59.000Z

395

Session Chair: John Boyes, SNL TIME PROJECT SPEAKER  

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

Session Chair: John Boyes, SNL Session Chair: John Boyes, SNL TIME PROJECT SPEAKER 7:00 am Registration (all day) & Complimentary Breakfast 8:00 Welcome Imre Gyuk - US Department of Energy / Office of Electricity Delivery & Energy Reliability 8:10 DOE Perspective Pat Hoffman & Arun Majumdar - US Department of Energy 8:30 DOE / OE Program Overview Imre Gyuk - US Department of Energy / Office of Electricity Delivery & Energy Reliability

396

JOHN WILDER TUKEY 16 June 1915 --26 July 2000  

E-Print Network [OSTI]

JOHN WILDER TUKEY 16 June 1915 -- 26 July 2000 Biogr. Mems Fell. R. Soc. Lond. 49, 000­000 (2003) Tukey second proof 7/11/03 2:51 pm Page 1 #12;Tukey second proof 7/11/03 2:51 pm Page 2 #12;JOHN WILDER TUKEY 16 June 1915 -- 26 July 2000 Elected ForMemRS 1991 BY PETER MCCULLAGH FRS University of Chicago

McCullagh, Peter

397

Mr. John E. Kieling, Chief Hazardous Was te Bureau  

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

John E. Kieling, Chief John E. Kieling, Chief Hazardous Was te Bureau Depa rtment of Energy Carlsbad Field Office P. O. Box 3090 Carlsbad , New Mexico 88221 NOV 0 5 2013 New Mexico Environment Department 2905 Rodeo Park Drive East. Building 1 Santa Fe, New Mexico 87505-6303 Subject: Panel 6 Closure and Final Waste Emplacement Notifications Dear Mr. Kieling : The purpose of this leiter is 1 0 notify th e New Mexico Environment Department (NMEO) that the

398

NREL: Energy Analysis - Energy Forecasting and Modeling Staff  

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

399

Conceptual design of a geothermal site development forecasting system  

SciTech Connect (OSTI)

A site development forecasting system has been designed in response to the need to monitor and forecast the development of specific geothermal resource sites for electrical power generation and direct heat applications. The system is comprised of customized software, a site development status data base, and a set of complex geothermal project development schedules. The system would use site-specific development status information obtained from the Geothermal Progress Monitor and other data derived from economic and market penetration studies to produce reports on the rates of geothermal energy development, federal agency manpower requirements to ensure these developments, and capital expenditures and technical/laborer manpower required to achieve these developments.

Neham, E.A.; Entingh, D.J.

1980-03-01T23:59:59.000Z

400

CCPP-ARM Parameterization Testbed Model Forecast Data  

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

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

Klein, Stephen

Note: This page contains sample records for the topic "forecasting oiaf john" 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

Forecast of contracting and subcontracting opportunities. Fiscal year 1996  

SciTech Connect (OSTI)

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

NONE

1996-02-01T23:59:59.000Z

402

Sales forecasting strategies for small businesses: an empirical investigation of statistical and judgemental methods  

Science Journals Connector (OSTI)

This study evolved from the mixed results shown in the reviewed forecasting literature and from the lack of sufficient forecasting research dealing with micro data. The main purpose of this study is to investigate and compare the accuracy of different quantitative and qualitative forecasting techniques, and to recommend a forecasting strategy for small businesses. Emphasis is placed on the testing of combining as a tool to improve forecasting accuracy. Of particular interest is whether combining time series and judgemental forecasts provides more accurate results than individual methods. A case study of a small business was used for this purpose to assess the accuracy and applicability of combining forecasts. The evidence indicates that combining qualitative and quantitative methods results in better and improved forecasts.

Imad J. Zbib

2006-01-01T23:59:59.000Z

403

Forecasting 65+ travel : an integration of cohort analysis and travel demand modeling  

E-Print Network [OSTI]

Over the next 30 years, the Boomers will double the 65+ population in the United States and comprise a new generation of older Americans. This study forecasts the aging Boomers' travel. Previous efforts to forecast 65+ ...

Bush, Sarah, 1973-

2003-01-01T23:59:59.000Z

404

Distributed quantitative precipitation forecasts combining information from radar and numerical weather prediction model outputs  

E-Print Network [OSTI]

Applications of distributed Quantitative Precipitation Forecasts (QPF) range from flood forecasting to transportation. Obtaining QPF is acknowledged to be one of the most challenging areas in hydrology and meteorology. ...

Ganguly, Auroop Ratan

2002-01-01T23:59:59.000Z

405

A Comparison of Measures-Oriented and Distributions-Oriented Approaches to Forecast Verification  

Science Journals Connector (OSTI)

The authors have carried out verification of 590 1224-h high-temperature forecasts from numerical guidance products and human forecasters for Oklahoma City, Oklahoma, using both a measures-oriented verification scheme and a distributions-...

Harold E. Brooks; Charles A. Doswell III

1996-09-01T23:59:59.000Z

406

Correspondence among the Correlation, RMSE, and Heidke Forecast Verification Measures; Refinement of the Heidke Score  

Science Journals Connector (OSTI)

The correspondence among the following three forecast verification scores, based on forecasts and their associated observations, is described: 1) the correlation score, 2) the root-mean-square error (RMSE) score, and 3) the Heidke score (based on ...

Anthony G. Barnston

1992-12-01T23:59:59.000Z

407

Improving Seasonal Forecast Skill of North American Surface Air Temperature in Fall Using a Postprocessing Method  

Science Journals Connector (OSTI)

A statistical postprocessing approach is applied to seasonal forecasts of surface air temperatures (SAT) over North America in fall, when the original uncalibrated predictions have little skill. The data used are ensemble-mean seasonal forecasts ...

XiaoJing Jia; Hai Lin; Jacques Derome

2010-05-01T23:59:59.000Z

408

Computing electricity spot price prediction intervals using quantile regression and forecast averaging  

Science Journals Connector (OSTI)

We examine possible accuracy gains from forecast averaging in the context of interval forecasts of electricity spot prices. First, we test whether constructing empirical prediction intervals (PI) from combined electricity

Jakub Nowotarski; Rafa? Weron

2014-08-01T23:59:59.000Z

409

Medium-term forecasting of demand prices on example of electricity prices for industry  

Science Journals Connector (OSTI)

In the paper, a method of forecasting demand prices for electric energy for the industry has been suggested. An algorithm of the forecast for 20062010 based on the data for 19972005 has been presented.

V. V. Kossov

2014-09-01T23:59:59.000Z

410

Price Forecasting and Optimal Operation of Wholesale Customers in a Competitive Electricity Market.  

E-Print Network [OSTI]

??This thesis addresses two main issues: first, forecasting short-term electricity market prices; and second, the application of short-term electricity market price forecasts to operation planning (more)

Zareipour, Hamidreza

2006-01-01T23:59:59.000Z

411

Impacts of Improved Day-Ahead Wind Forecasts on Power Grid Operations: September 2011  

SciTech Connect (OSTI)

This study analyzed the potential benefits of improving the accuracy (reducing the error) of day-ahead wind forecasts on power system operations, assuming that wind forecasts were used for day ahead security constrained unit commitment.

Piwko, R.; Jordan, G.

2011-11-01T23:59:59.000Z

412

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

413

Application of the Stretched Exponential Production Decline Model to Forecast Production in Shale Gas Reservoirs  

E-Print Network [OSTI]

Production forecasting in shale (ultra-low permeability) gas reservoirs is of great interest due to the advent of multi-stage fracturing and horizontal drilling. The well renowned production forecasting model, Arps? Hyperbolic Decline Model...

Statton, James Cody

2012-07-16T23:59:59.000Z

414

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

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

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

415

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

E-Print Network [OSTI]

andvalidation. SolarEnergy. 73:5,307? Perez,R. ,irradianceforecastsforsolarenergyapplicationsbasedonforecastdatabase. SolarEnergy. 81:6,809?812.

Mathiesen, Patrick; Kleissl, Jan

2011-01-01T23:59:59.000Z

416

A WRF Ensemble for Improved Wind Speed Forecasts at Turbine Height  

Science Journals Connector (OSTI)

The Weather Research and Forecasting Model (WRF) with 10-km horizontal grid spacing was used to explore improvements in wind speed forecasts at a typical wind turbine hub height (80 m). An ensemble consisting of WRF model simulations with ...

Adam J. Deppe; William A. Gallus Jr.; Eugene S. Takle

2013-02-01T23:59:59.000Z

417

The unsung stream : the ethnic continuum in U.S. literature and film, from John Rollin Ridge to John Sayles  

E-Print Network [OSTI]

The Rise and Fall of the Cherokee Nation. New York: AnchorPrint. Hoig, Stan. The Cherokees and Their Chiefs: In theGary, ed. John Ross: Cherokee Chief . Athens: University of

Torres, Linda Renee; Torres, Linda Renee

2012-01-01T23:59:59.000Z

418

Improving the forecasting function for a Credit Hire operator in the UK  

Science Journals Connector (OSTI)

This study aims to test on the predictability of Credit Hire services for the automobile and insurance industry. A relatively sophisticated time series forecasting procedure, which conducts a competition among exponential smoothing models, is employed to forecast demand for a leading UK Credit Hire operator (CHO). The generated forecasts are compared against the Naive method, resulting that demand for CHO services is indeed extremely hard to forecast, as the underlying variable is the number of road accidents a truly stochastic variable.

Nicolas D. Savio; K. Nikolopoulos; Konstantinos Bozos

2009-01-01T23:59:59.000Z

419

Central Wind Power Forecasting Programs in North America by Regional Transmission Organizations and Electric Utilities  

SciTech Connect (OSTI)

The report addresses the implementation of central wind power forecasting by electric utilities and regional transmission organizations in North America.

Porter, K.; Rogers, J.

2009-12-01T23:59:59.000Z

420

Email: {xxf064000, busso, John.Hansen}@utdallas.edu Slide 1 EUSIPCO 2011, Barcelona Spain, August 29-September Xing Fan, Carlos Busso and John H.L. Hansen  

E-Print Network [OSTI]

Email: {xxf064000, busso, John.Hansen}@utdallas.edu Slide 1 EUSIPCO 2011, Barcelona Spain, August Barcelona, Spain #12;Email: {xxf064000, busso, John.Hansen}@utdallas.edu Slide 2 EUSIPCO 2011, Barcelona with neutral speech #12;Email: {xxf064000, busso, John.Hansen}@utdallas.edu Slide 3 EUSIPCO 2011, Barcelona

Busso, Carlos

Note: This page contains sample records for the topic "forecasting oiaf john" 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

Next Generation Short-Term Forecasting of Wind Power Overview of the ANEMOS Project.  

E-Print Network [OSTI]

1 Next Generation Short-Term Forecasting of Wind Power ­ Overview of the ANEMOS Project. G outperform current state-of-the-art methods, for onshore and offshore wind power forecasting. Advanced forecasts for the power system management and market integration of wind power. Keywords: Wind power, short

Boyer, Edmond

422

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.

423

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

E-Print Network [OSTI]

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

Gray, William

424

VALIDATION OF SHORT AND MEDIUM TERM OPERATIONAL SOLAR RADIATION FORECASTS IN THE US  

E-Print Network [OSTI]

, and medium term forecasts (up to seven days ahead) from numerical weather prediction models [1]. Forecasts radiation forecasting. One approach relies on numerical weather prediction (NWP) models which can be global modeling of the atmosphere. NWP models cannot, at this stage of their development, predict the exact

Perez, Richard R.

425

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

426

Lessons from Deploying NLG Technology for Marine Weather Forecast Text Generation  

E-Print Network [OSTI]

model along with other sources of weather data such as satellite pictures and their own forecastingLessons from Deploying NLG Technology for Marine Weather Forecast Text Generation Somayajulu G Language Generation (NLG) system that produces textual weather forecasts for offshore oilrigs from

Sripada, Yaji

427

Ensemble-based air quality forecasts: A multimodel approach applied to ozone  

E-Print Network [OSTI]

Ensemble-based air quality forecasts: A multimodel approach applied to ozone Vivien Mallet1., and B. Sportisse (2006), Ensemble-based air quality forecasts: A multimodel approach applied to ozone, J, the uncertainty in chem- istry transport models is a major limitation of air quality forecasting. The source

Boyer, Edmond

428

Optimal Bidding Strategies for Wind Power Producers with Meteorological Forecasts  

E-Print Network [OSTI]

Optimal Bidding Strategies for Wind Power Producers with Meteorological Forecasts Antonio that the inherent variability in wind power generation and the related difficulty in predicting future generation profiles, raise major challenges to wind power integration into the electricity grid. In this work we study

Giannitrapani, Antonello

429

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

430

Detecting and Forecasting Economic Regimes in Automated Exchanges  

E-Print Network [OSTI]

, such as over- supply or scarcity, from historical data using computational methods to construct price density. The agent can use this information to make both tactical decisions such as pricing and strategic decisions historical data and identified from observable data. We outline how to identify regimes and forecast regime

Ketter, Wolfgang

431

Forecasting Market Demand for New Telecommunications Services: An Introduction  

E-Print Network [OSTI]

Forecasting Market Demand for New Telecommunications Services: An Introduction Peter Mc, 2000 Abstract The marketing team of a new telecommunications company is usually tasked with producing involved in doing so. Based on our three decades of experience working with telecommunications operators

Parsons, Simon

432

SOLAR IRRADIANCE FORECASTING FOR THE MANAGEMENT OF SOLAR ENERGY SYSTEMS  

E-Print Network [OSTI]

SOLAR IRRADIANCE FORECASTING FOR THE MANAGEMENT OF SOLAR ENERGY SYSTEMS Detlev Heinemann Oldenburg.girodo@uni-oldenburg.de ABSTRACT Solar energy is expected to contribute major shares of the future global energy supply. Due to its and solar energy conversion processes has to account for this behaviour in respective operating strategies

Heinemann, Detlev

433

Short-Term Solar Energy Forecasting Using Wireless Sensor Networks  

E-Print Network [OSTI]

Short-Term Solar Energy Forecasting Using Wireless Sensor Networks Stefan Achleitner, Tao Liu an advantage for output power prediction. Solar Energy Prediction System Our prediction model is based variability of more then 100 kW per minute. For practical usage of solar energy, predicting times of high

Cerpa, Alberto E.

434

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

E-Print Network [OSTI]

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

Islam, M. Saif

435

A FORECAST MODEL OF AGRICULTURAL AND LIVESTOCK PRODUCTS PRICE  

E-Print Network [OSTI]

A FORECAST MODEL OF AGRICULTURAL AND LIVESTOCK PRODUCTS PRICE Wensheng Zhang1,* , Hongfu Chen1 and excessive fluctuation of agricultural and livestock products price is not only harmful to residents' living, but also affects CPI (Consumer Price Index) values, and even leads to social crisis, which influences

Boyer, Edmond

436

Forecasting Building Occupancy Using Sensor Network James Howard  

E-Print Network [OSTI]

) into the future. Our approach is to train a set of standard forecasting models to our time series data. Each model conditioning (HVAC) systems. In particular, if occupancy can be accurately pre- dicted, HVAC systems can potentially be controlled to op- erate more efficiently. For example, an HVAC system can pre-heat or pre

Hoff, William A.

437

Forecasting Hospital Bed Availability Using Simulation and Neural Networks  

E-Print Network [OSTI]

Forecasting Hospital Bed Availability Using Simulation and Neural Networks Matthew J. Daniels is a critical factor for decision-making in hospitals. Bed availability (or alternatively the bed occupancy in emergency departments, and many other important hospital decisions. To better enable a hospital to make

Kuhl, Michael E.

438

Predicting Solar Generation from Weather Forecasts Using Machine Learning  

E-Print Network [OSTI]

Predicting Solar Generation from Weather Forecasts Using Machine Learning Navin Sharma, Pranshu Sharma, David Irwin, and Prashant Shenoy Department of Computer Science University of Massachusetts Amherst Amherst, Massachusetts 01003 {nksharma,pranshus,irwin,shenoy}@cs.umass.edu Abstract--A key goal

Shenoy, Prashant

439

Review of Wind Energy Forecasting Methods for Modeling Ramping Events  

SciTech Connect (OSTI)

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

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

2011-03-28T23:59:59.000Z

440

Development and Deployment of an Advanced Wind Forecasting Technique  

E-Print Network [OSTI]

findings. Part 2 addresses how operators of wind power plants and power systems can incorporate advanced the output of advanced wind energy forecasts into decision support models for wind power plant and power in Porto) Power Systems Unit Porto, Portugal Industry Partners Horizon Wind Energy, LLC Midwest Independent

Kemner, Ken

Note: This page contains sample records for the topic "forecasting oiaf john" 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

Power load forecasting using data mining and knowledge discovery technology  

Science Journals Connector (OSTI)

Considering the importance of the peak load to the dispatching and management of the electric system, the error of peak load is proposed in this paper as criteria to evaluate the effect of the forecasting model. This paper proposes a systemic framework that attempts to use data mining and knowledge discovery (DMKD) to pretreat the data. And a new model is proposed which combines artificial neural networks with data mining and knowledge discovery for electric load forecasting. With DMKD technology, the system not only could mine the historical daily loading which had the same meteorological category as the forecasting day to compose data sequence with highly similar meteorological features, but also could eliminate the redundant influential factors. Then an artificial neural network is constructed to predict according to its characteristics. Using this new model, it could eliminate the redundant information, accelerate the training speed of neural network and improve the stability of the convergence. Compared with single BP neural network, this new method can achieve greater forecasting accuracy.

Yongli Wang; Dongxiao Niu; Ling Ji

2011-01-01T23:59:59.000Z

442

What constrains spread growth in forecasts ini2alized from  

E-Print Network [OSTI]

1 What constrains spread growth in forecasts ini2alized from ensemble Kalman filters? Tom from manner in which ini2al condi2ons are generated, some due to the model (e.g., stochas2c physics as error; part of spread growth from manner in which ini2al condi2ons are generated, some due

Hamill, Tom

443

Probabilistic Forecasts of Wind Speed: Ensemble Model Output Statistics  

E-Print Network [OSTI]

. Over the past two decades, ensembles of numerical weather prediction (NWP) models have been developed and phrases: Continuous ranked probability score; Density forecast; Ensem- ble system; Numerical weather prediction; Heteroskedastic censored regression; Tobit model; Wind energy. 1 #12;1 Introduction Accurate

Washington at Seattle, University of

444

Introduction An important goal in operational weather forecasting  

E-Print Network [OSTI]

sensitive areas. To answer these questions simulation experiments with state-of-the-art numerical weather prediction (NWP) models have proved great value to test future meteorological observing systems a priori102 Introduction An important goal in operational weather forecasting is to reduce the number

Haak, Hein

445

Operational Forecasts of Cloud Cover and Water Vapour  

E-Print Network [OSTI]

of the forecast programme, which involved the additional use of 10.7 µm GOES-8 satellite data and surface weather cirrus cloud cover 15 5. A satellite-derived extinction parameter 17 5.1 Background 17 5.2 Previous work 20 5.3 Continued development of a satellite-derived 22 extinction parameter 6. Suggestions

446

Increasing NOAA's computational capacity to improve global forecast modeling  

E-Print Network [OSTI]

competing numerical weather prediction centers such as the European Center for MediumRange Weather Forecasts (ECMWF). For most sensibleweather metrics, we lag 1 to 1.5 days (i.e., they make a 3.5day of NOAA's current investment in weather satellites. Without a modern data assimilation system

Hamill, Tom

447

Measuring forecast skill: is it real skill or  

E-Print Network [OSTI]

samples, then many verification metrics will credit a forecast with extra skill it doesn't deserve islands, zero meteorologists Imagine a planet with a global ocean and two isolated islands. Weather three metrics... (1) Brier Skill Score (2) Relative Operating Characteristic (3) Equitable Threat Score

Hamill, Tom

448

URBAN OZONE CONCENTRATION FORECASTING WITH ARTIFICIAL NEURAL NETWORK IN CORSICA  

E-Print Network [OSTI]

Perceptron; Ozone concentration. 1. Introduction Tropospheric ozone is a major air pollution problem, both, Ajaccio, France, e-mail: balu@univ-corse.fr Abstract: Atmospheric pollutants concentration forecasting is an important issue in air quality monitoring. Qualitair Corse, the organization responsible for monitoring air

Boyer, Edmond

449

Leveraging Weather Forecasts in Renewable Energy Navin Sharmaa,  

E-Print Network [OSTI]

Leveraging Weather Forecasts in Renewable Energy Systems Navin Sharmaa, , Jeremy Gummesonb , David, Binghamton, NY 13902 Abstract Systems that harvest environmental energy must carefully regulate their us- age to satisfy their demand. Regulating energy usage is challenging if a system's demands are not elastic, since

Shenoy, Prashant

450

Cloudy Computing: Leveraging Weather Forecasts in Energy Harvesting Sensor Systems  

E-Print Network [OSTI]

Cloudy Computing: Leveraging Weather Forecasts in Energy Harvesting Sensor Systems Navin Sharma,gummeson,irwin,shenoy}@cs.umass.edu Abstract--To sustain perpetual operation, systems that harvest environmental energy must carefully regulate their usage to satisfy their demand. Regulating energy usage is challenging if a system's demands

Shenoy, Prashant

451

Weather forecast-based optimization of integrated energy systems.  

SciTech Connect (OSTI)

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

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

2009-03-01T23:59:59.000Z

452

Journey data based arrival forecasting for bicycle hire schemes  

E-Print Network [OSTI]

Journey data based arrival forecasting for bicycle hire schemes Marcel C. Guenther and Jeremy T. The global emergence of city bicycle hire schemes has re- cently received a lot of attention of future bicycle migration trends, as these assist service providers to ensure availability of bicycles

Imperial College, London

453

FORECAST VERIFICATION OF EXTREMES: USE OF EXTREME VALUE THEORY  

E-Print Network [OSTI]

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

Katz, Richard

454

FORECAST VERIFICATION OF EXTREMES: USE OF EXTREME VALUE THEORY  

E-Print Network [OSTI]

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

Katz, Richard

455

FORECAST VERIFICATION OF EXTREMES: USE OF EXTREME VALUE THEORY  

E-Print Network [OSTI]

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

Katz, Richard

456

Seasonal Forecasting of Extreme Wind and Precipitation Frequencies in Europe  

E-Print Network [OSTI]

Seasonal Forecasting of Extreme Wind and Precipitation Frequencies in Europe Matthew J. Swann;Abstract Flood and wind damage to property and livelihoods resulting from extreme precipitation events variability of these extreme events can be closely related to the large-scale atmospheric circulation

Feigon, Brooke

457

Use of wind power forecasting in operational decisions.  

SciTech Connect (OSTI)

The rapid expansion of wind power gives rise to a number of challenges for power system operators and electricity market participants. The key operational challenge is to efficiently handle the uncertainty and variability of wind power when balancing supply and demand in ths system. In this report, we analyze how wind power forecasting can serve as an efficient tool toward this end. We discuss the current status of wind power forecasting in U.S. electricity markets and develop several methodologies and modeling tools for the use of wind power forecasting in operational decisions, from the perspectives of the system operator as well as the wind power producer. In particular, we focus on the use of probabilistic forecasts in operational decisions. Driven by increasing prices for fossil fuels and concerns about greenhouse gas (GHG) emissions, wind power, as a renewable and clean source of energy, is rapidly being introduced into the existing electricity supply portfolio in many parts of the world. The U.S. Department of Energy (DOE) has analyzed a scenario in which wind power meets 20% of the U.S. electricity demand by 2030, which means that the U.S. wind power capacity would have to reach more than 300 gigawatts (GW). The European Union is pursuing a target of 20/20/20, which aims to reduce greenhouse gas (GHG) emissions by 20%, increase the amount of renewable energy to 20% of the energy supply, and improve energy efficiency by 20% by 2020 as compared to 1990. Meanwhile, China is the leading country in terms of installed wind capacity, and had 45 GW of installed wind power capacity out of about 200 GW on a global level at the end of 2010. The rapid increase in the penetration of wind power into power systems introduces more variability and uncertainty in the electricity generation portfolio, and these factors are the key challenges when it comes to integrating wind power into the electric power grid. Wind power forecasting (WPF) is an important tool to help efficiently address this challenge, and significant efforts have been invested in developing more accurate wind power forecasts. In this report, we document our work on the use of wind power forecasting in operational decisions.

Botterud, A.; Zhi, Z.; Wang, J.; Bessa, R.J.; Keko, H.; Mendes, J.; Sumaili, J.; Miranda, V. (Decision and Information Sciences); (INESC Porto)

2011-11-29T23:59:59.000Z

458

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

SciTech Connect (OSTI)

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

Das, S.

1991-12-01T23:59:59.000Z

459

EWEC 2006, Athens, The Anemos Wind Power Forecasting Platform Technology The Anemos Wind Power Forecasting Platform Technology -  

E-Print Network [OSTI]

EWEC 2006, Athens, The Anemos Wind Power Forecasting Platform Technology 1 The Anemos Wind Power a professional, flexible platform for operating wind power prediction models, laying the main focus on state models from all over Europe are able to work on this platform. Keywords: wind energy, wind power

Boyer, Edmond

460

Building Green in Greensburg: BTI Greensburg John Deere  

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

BTI Greensburg John Deere BTI Greensburg John Deere BTI-Greensburg is a 4th generation John Deere Dealership in Southwestern Kansas. BTI was started in 1944 by Ralph Estes and has since grown to serve four Kansas locations: Bucklin, Greensburg, Ness City, and Pratt. BTI stores have large parts departments, service shops, and merchandise sales sections in all four towns to better serve the region. After the tornado completely destroyed the Greensburg, Kansas, dealership, the Estes family decided to rebuild the store in an environmentally friendly way. The building design team used the U.S. Department of Energy's EnergyPlus energy modeling software to adapt a typical metal building design into a U.S. Green Building Council Leadership in Energy and Environmental Design (LEED

Note: This page contains sample records for the topic "forecasting oiaf john" 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

E-Print Network 3.0 - anna saarsalmi john Sample Search Results  

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

Page: << < 1 2 3 4 5 > >> 1 MEMBER PROFILE: ANNA NAGURNEY Anna Nagurney is the John F. Smith Memorial Professor Summary: MEMBER PROFILE: ANNA NAGURNEY Anna Nagurney is the John F....

462

A Review of "Becoming Neapolitan. Citizen Culture in Baroque Naples" by John A. Marino  

E-Print Network [OSTI]

fail to see why art historians must give them a place of honor in future accounts of Western sculpture. John A. Marino. Becoming Neapolitan. Citizen Culture in Baroque Naples. Baltimore: The Johns Hopkins University Press, 2011. 342 pp. including... fail to see why art historians must give them a place of honor in future accounts of Western sculpture. John A. Marino. Becoming Neapolitan. Citizen Culture in Baroque Naples. Baltimore: The Johns Hopkins University Press, 2011. 342 pp. including...

Litchfield, R. Burr

2011-01-01T23:59:59.000Z

463

Forecast Calls for Better Models: Examining the Core  

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

Forecast Calls for Better Models: Examining the Core Forecast Calls for Better Models: Examining the Core Components of Arctic Clouds to Clear Their Influence on Climate For original submission and image(s), see ARM Research Highlights http://www.arm.gov/science/highlights/ Research Highlight Predicting how atmospheric aerosols influence cloud formation and the resulting feedback to climate is a challenge that limits the accuracy of atmospheric models. This is especially true in the Arctic, where mixed-phase (both ice- and liquid-based) clouds are frequently observed, but the processes that determine their composition are poorly understood. To obtain a closer look at what makes up Arctic clouds, scientists characterized cloud droplets and ice crystals collected at the North Slope of Alaska as part of the Indirect and Semi-Direct Aerosol Campaign (ISDAC) field study

464

Fundamentals, forecast combinations and nominal exchange-rate predictability  

Science Journals Connector (OSTI)

This paper investigates the out-predictability of fundamentals and forecast combinations. By adopting a panel-based specification, the paper obtains several interesting results. First, the Taylor-rule-based fundamental is the best among the four different fundamentals under consideration in out-of-sample contests. It provides strong evidence to out-predict the random walk over the PBW period. Second, relative to a single-equation prediction, panel predictions are generally able to enhance the statistical significance of beating the random walk. Third, combining forecasts from different fundamentals that have relatively strong out-predictability at a specific horizon does enhance both the statistical and economic significances of beating the random walk for the PBW period at short horizons.

Jyh-Lin Wu; Yi-Chiuan Wang

2013-01-01T23:59:59.000Z

465

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

Broader source: Energy.gov [DOE]

The Wind Forecast Improvement Project (WFIP) is a U. S. Department of Energy (DOE) sponsored research project whose overarching goals are to improve the accuracy of short-term wind energy forecasts, and to demonstrate the economic value of these improvements.

466

Continuous Model Updating and Forecasting for a Naturally Fractured Reservoir  

E-Print Network [OSTI]

CONTINUOUS MODEL UPDATING AND FORECASTING FOR A NATURALLY FRACTURED RESERVOIR A Thesis by HISHAM HASSAN S. ALMOHAMMADI Submitted to the Office of Graduate Studies of Texas A&M University in partial fulfillment of the requirements... guidance and support throughout my time here in Texas A&M University. I also would like to thank my committee members, Dr. Eduardo Gildin and Dr. Michael Sherman, for providing valued insight and help during the course of this research. I am indebted...

Almohammadi, Hisham

2013-07-26T23:59:59.000Z

467

NOAA National Weather Service I'm a weather forecaster.  

E-Print Network [OSTI]

.S.D EPARTMENT OF COM M ERCE How Do You Make a Weather Satellite? How Do You Make a Weather Satellite? #12;Well you put a truck in orbit? So it can carry all the things needed to make a working weather satelliteNOAA National Weather Service I'm a weather forecaster. I need to see clouds and storms from way up

Waliser, Duane E.

468

The strategy concept and John Maynard Smith's influence on theoretical biology  

E-Print Network [OSTI]

The strategy concept and John Maynard Smith's influence on theoretical biology MANFRED D, as it was introduced into biology by John Maynard Smith, is a prime illustration of the four dimensions of theoretical dispute that John Maynard Smith was one of the towering figures in theoretical biology during the second

469

Curriculum Vita Name: John P. Boyd Date: 10/9/2013  

E-Print Network [OSTI]

Curriculum Vita Name: John P. Boyd Date: 10/9/2013 Address: Department of Atmospheric, Oceanic, Communications in Computational Physics, 2006- Associate Editor, SIAM Classics, 2007- #12;John P. Boyd 2 Sturm-Liouville Eigenproblem with an Interior Pole," J. #12;John P. Boyd 3 Math. Phys., 22, 1575

Boyd, John P.

470

Object-Oriented Modeling --1 2004 John Mylopoulos Conceptual Modeling CSC2507  

E-Print Network [OSTI]

Object-Oriented Modeling -- 1 2004 John Mylopoulos Conceptual Modeling CSC2507 Object-Oriented ModelingV. Object-Oriented Modeling Object-Oriented Modeling -- 2 2004 John Mylopoulos Conceptual Modeling and implementations. #12;Object-Oriented Modeling -- 3 2004 John Mylopoulos Conceptual Modeling CSC2507 Basic Concepts

Mylopoulos, John

471

DC Discharge Studies Using PIC-MCC: Unmagnetized Glow Discharge Theory Jeff Hammel & John Verboncoeur  

E-Print Network [OSTI]

in Gases. John Wiley and Sons, Inc., New York, 1939. · Yuri P. Raizer. Gas Discharge Physics. Springer-dimensional bounded plasma simulation codes. Journal of Computational Physics, 131:149-163, 1997. · John P bounded plasma simulation codes. Journal of Computational Physics, 104:321-328, 1993. · John P

Wurtele, Jonathan

472

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

SciTech Connect (OSTI)

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

473

Annual Energy Outlook 2006 with Projections to 2030 - Forecast Comparisons  

Gasoline and Diesel Fuel Update (EIA)

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

474

John C. Mather, the Big Bang, and the COBE  

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

John C. Mather, the Big Bang, and the COBE John C. Mather, the Big Bang, and the COBE Resources with Additional Information · Videos John C. Mather Courtesy of NASA "Dr. John C. Mather of NASA's Goddard Space Flight Center has won the 2006 Nobel Prize for Physics, awarded by the Royal Swedish Academy of Sciences. Mather shares the prize with George F. Smoot of the University of California for their collaborative work on understanding the Big Bang. Mather and Smoot analyzed data from NASA's Cosmic Background Explorer (COBE), which studied the pattern of radiation from the first few instants after the universe was formed. In 1992, the COBE team announced that they had mapped the primordial hot and cold spots in the cosmic microwave background radiation. These spots are related to the gravitational field in the early universe, only instants after the Big Bang, and are the seeds for the giant clusters of galaxies that stretch hundreds of millions of light years across the universe. ...

475

Timed CSP and Object-Z John Derrick  

E-Print Network [OSTI]

Timed CSP and Object-Z John Derrick Computing Laboratory, University of Kent, Canterbury, CT2 7NF a simple integration of timed CSP and Object-Z. Following existing work, the components in such an inte- gration are written as either Object-Z classes, or timed CSP processes, and are combined together using

Kent, University of

476

JOHN KORMENDY ADDRESS AND TELEPHONE NUMBER: Department of Astronomy  

E-Print Network [OSTI]

VITA JOHN KORMENDY ADDRESS AND TELEPHONE NUMBER: Department of Astronomy University of Texas@astro.as.utexas.edu (email) EDUCATION: B. Sc. 1970, Honours Mathematics, Physics and Chemistry (Astronomy Division), University of Toronto Ph. D. 1976, Astronomy, California Institute of Technology, Pasadena, CA POSITIONS: Apr

Kormendy, John

477

STATE OF COLORADO DEPARTMENT OF HIGHER EDUCATION John Hickenlooper  

E-Print Network [OSTI]

STATE OF COLORADO DEPARTMENT OF HIGHER EDUCATION John Hickenlooper Governor Lt. Gov. Joseph A. Garcia Executive Director 1560 Broadway, Suite 1600, Denver, Colorado 80202 (303) 866-2723 fax (303) 866-4266 http://highered.colorado.gov STATEWIDE TRANSFER ARTICULATION AGREEMENT for a Bachelor of Arts

478

STATE OF COLORADO DEPARTMENT OF HIGHER EDUCATION John Hickenlooper  

E-Print Network [OSTI]

STATE OF COLORADO DEPARTMENT OF HIGHER EDUCATION John Hickenlooper Governor Lt. Gov. Joseph A. Garcia Executive Director 1560 Broadway, Suite 1600, Denver, Colorado 80202 (303) 866-2723 fax (303) 866-4266 http://highered.colorado.gov STATEWIDE TRANSFER ARTICULATION AGREEMENT for a Bachelor

479

THE UNIVERSITY OF CONNECTICUT HEALTH CENTER JOHN DEMPSEY HOSPITAL  

E-Print Network [OSTI]

plan for management of human resources reflects transition as deemed appropriate to the dynamic nature: MANAGEMENT OF HUMAN RESOURCES (STAFF RIGHTS) NUMBER: 10-030 SUBJECT: STAFF REQUESTS NOT TO PARTICIPATE PAGE: 1 of 3 PURPOSE: The John Dempsey Hospital plan for management of human resources is designed

Oliver, Douglas L.

480

METAL, MONEY, AND THE PRINCE : JOHN BURIDAN AND NICHOLAS ORESME  

E-Print Network [OSTI]

1 METAL, MONEY, AND THE PRINCE : JOHN BURIDAN AND NICHOLAS ORESME AFTER THOMAS AQUINAS André and - to a lesser degree - Ethics 2. Not until the publication of Oresme's Treatise on Money, in the mid: the Aristotelian tradition paved the way for two divergent representations of money. The first one stresses

Paris-Sud XI, Université de

Note: This page contains sample records for the topic "forecasting oiaf john" 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

Jordan Pairs and Hopf Algebras John R. Faulkner  

E-Print Network [OSTI]

Jordan Pairs and Hopf Algebras John R. Faulkner A (quadratic) Jordan pair is constructed from a Z-graded Hopf algebra having divided power sequences over. The notion of a divided power representation of a Jordan pair is introduced and the universal

482

Solar Neutrinos: Solved and Unsolved Problems John N. Bahcall  

E-Print Network [OSTI]

? What have we learned in the first 30 years of solar neutrino research? For the next decade, whatChapter 10 Solar Neutrinos: Solved and Unsolved Problems John N. Bahcall Institute for Advanced study solar neutrinos? What does the combined standard model (solar plus electroweak) predict for solar

Bahcall, John

483

A review of "The Emblem." by John Manning  

E-Print Network [OSTI]

of literature as an idea and a pleasant read. It is at the same time a serious and reliable reference work, to which I expect to return from time to time. John Manning. The Emblem. London: Reaktion, 2002. ix + 398 pp. + 150 illus. $35.00. Review by WILLIAM...

William E. Engel

2003-01-01T23:59:59.000Z

484

STATE OF COLORADO DEPARTMENT OF HIGHER EDUCATION John Hickenlooper  

E-Print Network [OSTI]

of Colorado Denver University of Northern Colorado Western State Colorado University #12;FINAL StatewideSTATE OF COLORADO DEPARTMENT OF HIGHER EDUCATION John Hickenlooper Governor Lt. Gov. Joseph A. Garcia Executive Director 1560 Broadway, Suite 1600, Denver, Colorado 80202 (303) 866-2723 fax (303

485

SIMULATION MODELING WITHIN WORKFLOW TECHNOLOGY John A. Miller  

E-Print Network [OSTI]

of simulation modeling and analysis within workflow technology. A workflow model can be used to design automatedSIMULATION MODELING WITHIN WORKFLOW TECHNOLOGY John A. Miller Amit P. Sheth Krys J. Kochut Xuzhong Distributed Information Systems (LSDIS) Lab at the University of Georgia. Simulation modeling can be used

Miller, John A.

486

Charge to the External Review Team John. A. Schmidt  

E-Print Network [OSTI]

and resources, we plan a External Review meeting scheduled for June 5-7, 2001 at Princeton Plasma Physics LabCharge to the External Review Team John. A. Schmidt Presented at External Review of FIRE Laboratory for Technology http://fire.pppl.gov #12;External Review of FIRE Major Engineering Subsystems

487

Cognitive Neuroscience/Cognitive Psychology Faculty Position Johns Hopkins University  

E-Print Network [OSTI]

Cognitive Neuroscience/Cognitive Psychology Faculty Position Johns Hopkins University-track or tenured faculty position in Human Cognitive Neuroscience/Cognitive Psychology. Accomplished mid, memory, and/or cognition (broadly construed) using one or more methods of cognitive neuroscience and

Connor, Ed

488

Book Reviews John D. Wright and Nico A. J. M.  

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Book Reviews John D. Wright and Nico A. J. M. Sommerdijk Sol-Gel Materials Chemistry- dustry. This book is the fourth volume in a series of Advanced Chemistry Texts for advanced undergraduate ceramics, organic/inorganic hy- brids, and nanocomposites in the form of particles, fibers, films

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THE UNIVERSITY OF CONNECTICUT HEALTH CENTER JOHN DEMPSEY HOSPITAL HOSPITAL ADMINISTRATIVE MANUAL TRANSFER OF INPATIENTS BETWEEN HOSPITAL//OFFICE PRACTICE AND FACILITIES POLICY: 1.) If at all possible, all tests and procedures that need to be done outside of the main hospital should be done on an outpatient

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1 THE UNIVERSITY OF CONNECTICUT HEALTH CENTER JOHN DEMPSEY HOSPITAL ADMINISTRATIVE MANUAL SECTION RIGHTS Overview: Medicare beneficiaries who are hospital inpatients have a statutory right to appeal to a Quality Improvement Organization (QIO) for an expedited review when a hospital, with physician concurrence

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THE UNIVERSITY OF CONNECTICUT HEALTH CENTER JOHN DEMPSEY HOSPITAL ADMINISTRATIVE MANUAL SECTION.42. BACKGROUND: The Hospital Conditions of Participation at 42CFR482.55 state that "the policies and procedures by and are a continuing responsibility of the medical staff." The special responsibilities of Medicare hospitals

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THE UNIVERSITY OF CONNECTICUT HEALTH CENTER JOHN DEMPSEY HOSPITAL ADMINISTRATIVE MANUAL SECTION for review and control of request for travel authorization. POLICY: 1. Hospital funds (6005 funds) are available on a limited basis to support the expenses for travel related to Hospital business. 2. All

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THE UNIVERSITY OF CONNECTICUT HEALTH CENTER JOHN DEMPSEY HOSPITAL ADMINISTRATIVE MANUAL SECTION: MEDICAL LEGAL NUMBER: 07-017 SUBJECT: UNCLAIMED BODIES PAGE: 1 of 1 POLICY: When the Hospital is unable a deceased patient for burial, the Hospital Director or designee will assume the responsibility

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THE UNIVERSITY OF CONNECTICUT HEALTH CENTER JOHN DEMPSEY HOSPITAL ADMINISTRATIVE MANUAL SECTION: FINANCIAL MANAGEMENT NUMBER: 04-008 SUBJECT: Hospital Evaluation and Management (E/M) Services PAGE: 1 of 1 BACKGROUND: Hospital or facility E/M is the hospital technical portion of the E/M visit and indicates

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. Interrupts have led to well-known problems in safety-critical embedded software. For example, a numberRandom Testing of Interrupt-Driven Software John Regehr School of Computing University of Utah regehr@cs.utah.edu ABSTRACT Interrupt-driven embedded software is hard to thoroughly test since

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