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While these samples are representative of the content of NLEBeta,
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We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


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

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

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

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.

7

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

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

Synoptic Typing of Extreme Cool-Season Precipitation Events at St. John’s, Newfoundland, 1979–2005  

Science Conference Proceedings (OSTI)

Quantitative precipitation forecasting (QPF) continues to be a significant challenge in operational forecasting, particularly in regions susceptible to extreme precipitation events. St. John’s, Newfoundland, Canada (CYYT), is affected frequently ...

Shawn M. Milrad; Eyad H. Atallah; John R. Gyakum

2010-04-01T23:59:59.000Z

10

Synoptic-Scale Characteristics and Precursors of Cool-Season Precipitation Events at St. John’s, Newfoundland, 1979–2005  

Science Conference Proceedings (OSTI)

The issue of quantitative precipitation forecasting continues to be a significant challenge in operational forecasting, particularly in regions susceptible to frequent and extreme precipitation events. St. John’s, Newfoundland, Canada, is one ...

Shawn M. Milrad; Eyad H. Atallah; John R. Gyakum

2009-06-01T23:59:59.000Z

11

John Romankiewicz  

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

John Romankiewicz John Romankiewicz China Energy Group Lawrence Berkeley National Laboratory 1 Cyclotron Road MS 90R2002 Berkeley CA 94720 Office Location: 90-2120 (510) 486-7298...

12

John Horst  

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

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

13

John Cymbalsky  

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

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

14

John Lushetsky  

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

John Lushetsky is the Program Manager of the Solar Technologies Program at the U.S Department of Energy

15

John Gerrard  

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

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

16

John Johansen  

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

John Johansen is a Project Officer with the U.S. Department of Energy's Office of Energy Efficiency and Renewable Energy.

17

John Lippert  

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

John Lippert is a former employee of Energy Enterprise Solutions, a contractor for EERE. He assisted with technical reviews of content on the Energy Saver Web site.

18

John Nangle  

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

John Nangle has been with the National Renewable Energy Laboratory (NREL) since April 2009. His work at the lab includes assisting in the development of federal greenhouse gas accounting standards...

19

John Podesta  

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

Christopher Johns  

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

Christopher S. Johns has been at the Department of Energy for three years, serving as the Director for the Office of Budget since early 2011 and as the Deputy Director for Budget Operations for a...

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

John Bradley  

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

research in the Department of Astronomy at the University of Washington in Seattle ('82). John earned a Ph.D. in chemistry from Arizona State University in 1982 and a...

22

John Prausnitz  

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

U.S. National Medal of Science John Prausnitz is an authority on applied chemical thermodynamics. He coauthored four books and more than 800 articles with more than 450 coauthors...

23

John Kerr  

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

2012 Zhu, Xiaobing, John B. Kerr, Qinggang He, Gi Suk Hwang, Zulima Martin, Kyle Clark, Adam Z. Weber, and Nana Zhao. "Bridge to Fuel Cell Molecular Catalysis: 3D...

24

John Steinberg  

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

Steinberg has become a forceful advocate for putting consumer value at the center of the smart grid. John has been a featured speaker at numerous cleantech and Silicon Valley...

25

John Romankiewicz  

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

Dialogue, including the EcoPartnerships program. From 2008-2010, John worked for Bloomberg New Energy Finance in Beijing and New York as a senior analyst, covering the CDM...

26

John Newman  

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

Couts, Venkat Srinivasan, and John S. Newman. "A Combined Model for Determining Capacity Usage and Battery Size for Hybrid and Plug-in Hybrid Electric Vehicles." Journal of Power...

27

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

28

John Freeland  

NLE Websites -- All DOE Office Websites (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.

29

SR/OIAF/2006-01 Energy Market Impacts of Alternative Greenhouse Gas Intensity Reduction Goals  

E-Print Network (OSTI)

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 any other organization. Service Reports are prepared by the Energy Information Administration upon special request and are based on assumptions specified by the requester. Preface and Contacts The Energy Information Administration (EIA) is the independent statistical and analytical agency within the Department of Energy. EIA provides timely, high-quality energy information and prepares objective, transparent analyses for use of Congress, the Administration and the public. EIA does not, however, take positions on policy issues. Because of EIA?s statutory independence with respect to the content of its energy information program, the analysis presented herein is strictly its own and should not be construed as representing the views of the U.S. Department of Energy or the Administration. The model projections in this report are not statements of what will happen but of what might happen, given the assumptions and methodologies used. The reference case projections are businessas-usual trend forecasts, given known technology, technological and demographic trends, and current laws and regulations. Thus, they provide a policy-neutral starting point that can be used to

unknown authors

2006-01-01T23:59:59.000Z

30

John Elliott  

NLE Websites -- All DOE Office Websites (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

31

Forecasting Crude Oil Spot Price Using OECD Petroleum Inventory Levels  

U.S. Energy Information Administration (EIA)

Forecasting Crude Oil Spot Price Using OECD Petroleum Inventory Levels MICHAEL YE,? JOHN ZYREN,?? AND JOANNE SHORE?? Abstract This paper presents a short ...

32

Johns Manville Technical Center  

Science Conference Proceedings (OSTI)

Johns Manville Technical Center. NVLAP Lab Code: 100425-0. Address and Contact Information: 10100 West Ute Avenue ...

2013-09-20T23:59:59.000Z

33

John Fox | Department of Energy  

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

John Fox John Fox Phone 202-586-6454 E-mail john.fox@hq.doe.gov Last Name Fox First Name John Title PROGRAM MANAGEMENT SPECIALIST (INFORMATION SYSTEMS...

34

Forecast Correlation Coefficient Matrix of Stock Returns in Portfolio Analysis  

E-Print Network (OSTI)

Unadjusted Forecasts . . . . . . . . . . . . . . . .Forecasts . . . . . . . . . . . . . . . . . . . . . . . . . .Unadjusted Forecasts . . . . . . . . . . . . . . . . . . .

Zhao, Feng

2013-01-01T23:59:59.000Z

35

Recipient: John Bardeen Award  

Science Conference Proceedings (OSTI)

... with over the years at the Australian Atomic Energy Commission, UC Berkeley, ... John Bardeen was one of the greatest scientists of the modern age and the ...

36

John R. Shields  

Science Conference Proceedings (OSTI)

John R. Shields. ... Mr. Shields joined the National Bureau of Standards (NBS) in August 1986 as an Engineering Technician at the Large Fire Lab. ...

2012-07-06T23:59:59.000Z

37

Forecast Technical Document Forecast Types  

E-Print Network (OSTI)

Forecast Technical Document Forecast Types A document describing how different forecast types are implemented in the 2011 Production Forecast system. Tom Jenkins Robert Matthews Ewan Mackie Lesley Halsall #12;PF2011 ­ Forecast Types Background Different `types' of forecast are possible for a specified area

38

RACORO Forecasting  

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

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

39

Patents -- John B. Goodenough  

NLE Websites -- All DOE Office Websites (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.

40

Kesheng John Wu  

NLE Websites -- All DOE Office Websites (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

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

Forecasting Forecast Skill  

Science Conference Proceedings (OSTI)

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

Eugenia Kalnay; Amnon Dalcher

1987-02-01T23:59:59.000Z

42

Forecast Combinations  

E-Print Network (OSTI)

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

Allan Timmermann; Jel Codes C

2006-01-01T23:59:59.000Z

43

Anonymity, accountability & John Doe  

Science Conference Proceedings (OSTI)

This paper addresses the issues of anonymity and accountability on the Internet, and the controversy surrounding anonymous message posters who are implicated in defamation lawsuits. "Anonymity ensures governments cannot spy on citizens and thus guarantees ... Keywords: John Doe lawsuits, cyberlibel, internet accountability, internet anonymity

Kristina A. Keesom

2004-10-01T23:59:59.000Z

44

Forecasting overview  

E-Print Network (OSTI)

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

Rob J Hyndman

2009-01-01T23:59:59.000Z

45

John Schueler | Department of Energy  

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

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

46

John Deutch | Department of Energy  

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

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

47

John Chu | Department of Energy  

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

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.

48

John Montgomery | Department of Energy  

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

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

49

Recipient: John Bardeen Award - TMS  

Science Conference Proceedings (OSTI)

... research and development with John Bardeen who at the time was reviewing our work for the Atomic Energy Commission (now the Department of Energy).

50

Parabolic John-Nirenberg spaces  

E-Print Network (OSTI)

We introduce a parabolic version of John-Nirenberg space with exponent $p$ and show that it is contained in local weak-$L^p$ spaces.

Berkovits, Lauri

2011-01-01T23:59:59.000Z

51

Recipient: John Bardeen Award - TMS  

Science Conference Proceedings (OSTI)

“John Bardeen cast a large shadow of excellence over the materials science and physics communities in terms of his considerable intelligence and his creation ...

52

EMC 2009: John Bardeen Award  

Science Conference Proceedings (OSTI)

“John Bardeen cast a large shadow of excellence over the materials science and physics communities in terms of his considerable intelligence and his creation ...

53

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)

54

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

55

John M. Melack  

NLE Websites -- All DOE Office Websites (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

56

NREL: Energy Analysis - John Lewis  

NLE Websites -- All DOE Office Websites (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,

57

John Arrington | Argonne National Laboratory  

NLE Websites -- All DOE Office Websites (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

58

John Hartman | Department of Energy  

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

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

59

Lobbyist Disclosure Form- John Thorne  

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

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 time, and it was unclear whether there would...

60

John Powell | ornl.gov  

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

leads the Environment, Safety, and Health (ES&H) Directorate at Oak Ridge National Laboratory (ORNL). John is an environmental engineer with approximately 30 years of ES&H...

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

Solar forecasting review  

E-Print Network (OSTI)

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

Inman, Richard Headen

2012-01-01T23:59:59.000Z

62

NFI Forecasts Methodology NFI Forecasts Methodology  

E-Print Network (OSTI)

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

63

Forecast Technical Document Restocking in the Forecast  

E-Print Network (OSTI)

Forecast Technical Document Restocking in the Forecast A document describing how restocking of felled areas is handled in the 2011 Production Forecast. Tom Jenkins Robert Matthews Ewan Mackie Lesley in the forecast Background During the period of a production forecast it is assumed that, as forest sub

64

> BUREAU HOME > AUSTRALIA > QUEENSLAND > FORECASTS FORECAST IMPROVEMENTS  

E-Print Network (OSTI)

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

Greenslade, Diana

65

John Simpson - Oak Ridge National Laboratory  

ORNL's Superhydrophobic Coatings Technology and Some Potential Applications presented by John T. Simpson, Ph.D.

66

Another Approach to Forecasting Forecast Skill  

Science Conference Proceedings (OSTI)

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

W. Y. Chen

1989-02-01T23:59:59.000Z

67

John Thomas - Research Staff - FEERC  

NLE Websites -- All DOE Office Websites (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

68

ELECTRICITY DEMAND FORECAST COMPARISON REPORT  

E-Print Network (OSTI)

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

69

Quantum Computational Complexity John Watrous  

E-Print Network (OSTI)

Quantum Computational Complexity John Watrous Institute for Quantum Computing and School of the subject and its importance II. Introduction III. The quantum circuit model IV. Polynomial-time quantum computations V. Quantum proofs VI. Quantum interactive proof systems VII. Other selected notions in quantum

Watrous, John

70

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

71

The Forecast Gap: Linking Forwards and Forecasts  

Science Conference Proceedings (OSTI)

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

2008-12-15T23:59:59.000Z

72

Detecting and Forecasting Economic Regimes in Automated Exchanges  

E-Print Network (OSTI)

Detecting and Forecasting Economic Regimes in Automated Exchanges Wolfgang Ketter , John Collins. The agent can use this information to make both tactical decisions such as pricing and strategic decisions, such as over- supply or scarcity, from historical data using computational methods to construct price density

Ketter, Wolfgang

73

Detecting and Forecasting Economic Regimes in Automated Exchanges  

E-Print Network (OSTI)

Detecting and Forecasting Economic Regimes in Automated Exchanges Wolfgang Ketter # , John Collins tactical decisions such as pricing and strategic decisions such as product mix and production planning. We historical data using computational methods to construct price density functions. We discuss how

Ketter, Wolfgang

74

Forecasting in Meteorology  

Science Conference Proceedings (OSTI)

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

C. S. Ramage

1993-10-01T23:59:59.000Z

75

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

E-Print Network (OSTI)

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

76

John K. Holton | Open Energy Information  

Open Energy Info (EERE)

Partner Partnering Center within NREL Electricity Resources & Building Systems Integration LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now John...

77

Fermilab Today | Johns Hopkins University Profile  

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

RESEARCH FOCUS: Heavy quark physics, both bottom and top, and the search for the Higgs boson and "beyond the Standard Model" particles. WHAT SETS PARTICLE PHYSICS AT JOHNS...

78

John Bell, Environmental Data Science & Systems Staff  

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

John Bell Environmental Sciences Division Oak Ridge National Laboratory Oak Ridge, TN 37831-6290 Phone: (865) 241-5922 belljd...

79

Low Dose Radiation Research Program: John Minna  

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

Minna University of Texas, Southwestern Medical Center John Minna, M.D. Currently Funded Projects Human Lung Cancer Progression Model for HZE Particle Exposure...

80

John F. Schneider - Argonne National Laboratories, Materials...  

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

enabled to view it. Quick Links Publications CV (PDF) Education M.S. Analytical Chemistry, Northern Illinois University B.S. Chemistry, Elmhurst College Biography John F....

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81

TMS Board of Directors: John Smugeresky  

Science Conference Proceedings (OSTI)

John Smugeresky is a senior member of the technical staff at Sandia National Laboratories in Livermore, CA. He is a member of the Programming, Powder ...

82

Forecasts, Meteorology Services, Environmental Sciences Department  

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

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

83

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,

84

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":""}]}

85

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":""}]}

86

John Day Tailrace MASS2 Hydraulic Modeling  

DOE Green Energy (OSTI)

Recent biological results for the Juvenile Bypass System at John Jay Lock and Dam have raised concerns about the hydraulic conditions that are created in the tailrace under different project operations. This Memorandum for Record discusses the development and application of a truncated MASS2 model in the John Day tailrace.

Rakowski, Cynthia L.; Richmond, Marshall C.

2003-06-03T23:59:59.000Z

87

John Hale III | Department of Energy  

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

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

88

Verifying Forecasts Spatially  

Science Conference Proceedings (OSTI)

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

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

2010-10-01T23:59:59.000Z

89

Forecasting of Supercooled Clouds  

Science Conference Proceedings (OSTI)

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

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

1995-07-01T23:59:59.000Z

90

Time Series and Forecasting  

Science Conference Proceedings (OSTI)

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

91

Forecast Technical Document Volume Increment  

E-Print Network (OSTI)

Forecast Technical Document Volume Increment Forecasts A document describing how volume increment is handled in the 2011 Production Forecast. Tom Jenkins Robert Matthews Ewan Mackie Lesley Halsall #12;PF2011 ­ Volume increment forecasts Background A volume increment forecast is a fundamental output of the forecast

92

John De Laeter Centre For Isotope Research | Open Energy Information  

Open Energy Info (EERE)

2013 DOI Not Provided Check for DOI availability: http:crossref.org Online Internet link for John De Laeter Centre For Isotope Research Citation Curtin University. John...

93

John Hsu, Oak Ridge National Laboratory, Flux Coupling Machines...  

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

John Hsu, Oak Ridge National Laboratory, Flux Coupling Machines and Switched Reluctance Motors to Replace Permanent Magnets in Electric Vehicles John Hsu, Oak Ridge National...

94

Admiral John M. Richardson | National Nuclear Security Administration  

National Nuclear Security Administration (NNSA)

NNSA Archive Federal Employment Apply for Our Jobs Our Jobs Working at NNSA Blog Home > About Us > Our Leadership > Admiral John M. Richardson Admiral John M. Richardson...

95

The Strategy of Professional Forecasting  

E-Print Network (OSTI)

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

Marco Ottaviani; Peter Norman Sørensen

2003-01-01T23:59:59.000Z

96

John A. Owsley | Department of Energy  

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

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

97

Business forecasting methods  

E-Print Network (OSTI)

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

Rob J Hyndman

2009-01-01T23:59:59.000Z

98

ENSEMBLE RE-FORECASTING : IMPROVING MEDIUM-RANGE FORECAST SKILL  

E-Print Network (OSTI)

5.5 ENSEMBLE RE-FORECASTING : IMPROVING MEDIUM-RANGE FORECAST SKILL USING RETROSPECTIVE FORECASTS, Colorado 1. INTRODUCTION Improving weather forecasts is a primary goal of the U.S. National Oceanic predictions has been to improve the accuracy of the numerical forecast models. Much effort has been expended

Hamill, Tom

99

ORNL integrated forecasting system  

SciTech Connect

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

Rizy, C.G.

1983-01-01T23:59:59.000Z

100

Probabilistic Forecasts from the National Digital Forecast Database  

Science Conference Proceedings (OSTI)

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

Roman Krzysztofowicz; W. Britt Evans

2008-04-01T23:59:59.000Z

Note: This page contains sample records for the topic "forecasting oiaf john" from the National Library of EnergyBeta (NLEBeta).
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101

forecast | OpenEI  

Open Energy Info (EERE)

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

102

Seasonal tropical cyclone forecasts  

E-Print Network (OSTI)

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

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

2007-01-01T23:59:59.000Z

103

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

104

Solar forecasting review  

E-Print Network (OSTI)

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

Inman, Richard Headen

2012-01-01T23:59:59.000Z

105

Global and Local Skill Forecasts  

Science Conference Proceedings (OSTI)

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

P. L. Houtekamer

1993-06-01T23:59:59.000Z

106

Arnold Schwarzenegger INTEGRATED FORECAST AND  

E-Print Network (OSTI)

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

107

CONSULTANT REPORT DEMAND FORECAST EXPERT  

E-Print Network (OSTI)

CONSULTANT REPORT DEMAND FORECAST EXPERT PANEL INITIAL forecast, end-use demand modeling, econometric modeling, hybrid demand modeling, energyMahon, Carl Linvill 2012. Demand Forecast Expert Panel Initial Assessment. California Energy

108

Does the term structure forecast  

E-Print Network (OSTI)

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

Berardi, Andrea; Torous, Walter

2002-01-01T23:59:59.000Z

109

Distortion Representation of Forecast Errors  

Science Conference Proceedings (OSTI)

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

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

1995-09-01T23:59:59.000Z

110

Composite forecasting in commodity systems  

E-Print Network (OSTI)

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

Johnson, Stanley R; Rausser, Gordon C.

1980-01-01T23:59:59.000Z

111

NREL: Energy Sciences - John O. Baker  

NLE Websites -- All DOE Office Websites (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.

112

John E. Kelly | Department of Energy  

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

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.

113

NREL: Energy Sciences - Zhuangchun (John) Wu  

NLE Websites -- All DOE Office Websites (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

114

John Bardeen Engineering Leadership Program | Overview  

NLE Websites -- All DOE Office Websites (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.

115

Coefficients for Debiasing Forecasts  

Science Conference Proceedings (OSTI)

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

Thomas R. Stewart; Patricia Reagan-Cirincione

1991-08-01T23:59:59.000Z

116

Evaluating Point Forecasts  

E-Print Network (OSTI)

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

Gneiting, Tilmann

2009-01-01T23:59:59.000Z

117

Forecasters ’ Objectives and Strategies ?  

E-Print Network (OSTI)

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

Iván Marinovic; Marco Ottaviani; Peter Norman Sørensen

2011-01-01T23:59:59.000Z

118

A New Verification Score for Public Forecasts  

Science Conference Proceedings (OSTI)

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

Dean P. Gulezian

1981-02-01T23:59:59.000Z

119

SOLAR NEUTRINOS: WHERE WE ARE JOHN BAHCALL  

E-Print Network (OSTI)

SOLAR NEUTRINOS: WHERE WE ARE JOHN BAHCALL Institute for Advanced Study, Princeton, NJ 08540 This talk compares standard model predictions for solar neutrino experiments with the results of actual a standard solar model. I emphasize the importance of recent analyses in which the neutrino fluxes

Bahcall, John

120

Quantum Feedback Networks John Gough,Wales  

E-Print Network (OSTI)

Quantum Feedback Networks John Gough,Wales Matt James,ANU #12;· Quantum Feedback · Quantum Networks - I · Classical Electrical Networks · Quantum Networks - II · Examples in Quantum Control Outline #12;· J. Gough and M.R. James, The Series Product and Its Application to Quantum Feedforward and Feedback

James, Matthew

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121

The New Nuclear Threat John Deutch  

E-Print Network (OSTI)

), although experts agree that Israel, Pakistan and South Africa also have a nuclear weapons capabilityThe New Nuclear Threat John Deutch FOREIGN AFFAIRS Volume 71 · Number 4 Foreign AffairsThe contents. Deutch THE NEW NUCLEAR THREAT he threat of nuclear weapons spread across the world has displaced the fear

Deutch, John

122

NATIONAL AND GLOBAL FORECASTS WEST VIRGINIA PROFILES AND FORECASTS  

E-Print Network (OSTI)

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

Mohaghegh, Shahab

123

APPLICATION OF PROBABILISTIC FORECASTS: DECISION MAKING WITH FORECAST UNCERTAINTY  

E-Print Network (OSTI)

1 APPLICATION OF PROBABILISTIC FORECASTS: DECISION MAKING WITH FORECAST UNCERTAINTY Rick Katz.isse.ucar.edu/HP_rick/dmuu.pdf #12;2 QUOTES ON USE OF PROBABILITY FORECASTS · Lao Tzu (Chinese Philosopher) "He who knows does and Value of Probability Forecasts (4) Cost-Loss Decision-Making Model (5) Simulation Example (6) Economic

Katz, Richard

124

Why are survey forecasts superior to model forecasts?  

E-Print Network (OSTI)

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

Michael P. Clements; Michael P. Clements

2010-01-01T23:59:59.000Z

125

NERSC Researcher John Shalf Discusses Low-Power Supercomputer  

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

John Shalf Discusses Low-Power Supercomputer NERSC Researcher John Shalf Discusses Low-Power Supercomputer May 9, 2008 By Liz Tay Staff writer iTnews - for Australian Business...

126

Demand Forecast INTRODUCTION AND SUMMARY  

E-Print Network (OSTI)

Demand Forecast INTRODUCTION AND SUMMARY A 20-year forecast of electricity demand is a required of any forecast of electricity demand and developing ways to reduce the risk of planning errors that could arise from this and other uncertainties in the planning process. Electricity demand is forecast

127

LOAD FORECASTING Eugene A. Feinberg  

E-Print Network (OSTI)

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

Feinberg, Eugene A.

128

John Cahn to Receive 2011 Kyoto Prize For Fundamental ...  

Science Conference Proceedings (OSTI)

John Cahn to Receive 2011 Kyoto Prize For Fundamental Contributions to Materials Science. For Immediate Release: June 24, 2011. ...

2011-06-27T23:59:59.000Z

129

John Cahn to Receive 2011 Kyoto Prize for Fundamental ...  

Science Conference Proceedings (OSTI)

John Cahn to Receive 2011 Kyoto Prize for Fundamental Contributions to Materials Science. From NIST Tech Beat: July 6, 2011. ...

2011-07-06T23:59:59.000Z

130

A Diagnostic Examination of Consecutive Extreme Cool-Season Precipitation Events at St. John’s, Newfoundland, in December 2008  

Science Conference Proceedings (OSTI)

St. John’s, Newfoundland, Canada (CYYT), is frequently affected by extreme precipitation events, particularly in the cool season (October–April). Previous work classified precipitation events at CYYT into categories by precipitation amount and a ...

Shawn M. Milrad; Eyad H. Atallah; John R. Gyakum

2010-08-01T23:59:59.000Z

131

Factors Driving Prices & Forecast  

Gasoline and Diesel Fuel Update (EIA)

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

132

Modeling and Forecasting Aurora  

Science Conference Proceedings (OSTI)

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

Dirk Lummerzheim

2007-01-01T23:59:59.000Z

133

Valuing Climate Forecast Information  

Science Conference Proceedings (OSTI)

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

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

1987-09-01T23:59:59.000Z

134

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

135

Multivariate Forecast Evaluation And Rationality Testing  

E-Print Network (OSTI)

1062—1088. MULTIVARIATE FORECASTS Chaudhuri, P. (1996): “OnKingdom. MULTIVARIATE FORECASTS Kirchgässner, G. , and U. K.2005): “Estimation and Testing of Forecast Rationality under

Komunjer, Ivana; OWYANG, MICHAEL

2007-01-01T23:59:59.000Z

136

Forecasting in the Presence of Level Shifts  

E-Print Network (OSTI)

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

Smith, Aaron

2004-01-01T23:59:59.000Z

137

WRITTEN STATEMENT OF JOHN H. DUNNIGAN  

E-Print Network (OSTI)

the Gulf Coast States of Texas, Louisiana, Alabama and Mississippi. NOAA again responded immediately of Response and Restoration Federal, state, and local agencies rely on NOAA's support in oil and chemical information to prepare for and respond to spills. NOAA forecasts the movement and behavior of spilled oil

138

FROM ANALYSTS ' EARNINGS FORECASTS  

E-Print Network (OSTI)

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

Theodore Sougiannis; Takashi Yaekura

2000-01-01T23:59:59.000Z

139

CALIFORNIA ENERGY DEMAND 20142024 REVISED FORECAST  

E-Print Network (OSTI)

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

140

~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

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141

Consensus Coal Production Forecast for  

E-Print Network (OSTI)

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

Mohaghegh, Shahab

142

ENERGY DEMAND FORECAST METHODS REPORT  

E-Print Network (OSTI)

CALIFORNIA ENERGY COMMISSION ENERGY DEMAND FORECAST METHODS REPORT Companion Report to the California Energy Demand 2006-2016 Staff Energy Demand Forecast Report STAFFREPORT June 2005 CEC-400 .......................................................................................................................................1-1 ENERGY DEMAND FORECASTING AT THE CALIFORNIA ENERGY COMMISSION: AN OVERVIEW

143

Forecast Technical Document Technical Glossary  

E-Print Network (OSTI)

Forecast Technical Document Technical Glossary A document defining some of the terms used in the 2011 Production Forecast technical documentation. Tom Jenkins Robert Matthews Ewan Mackie Lesley in the Forecast documentation. In some cases, the terms and the descriptions are "industry standard", in others

144

Forecast Technical Document Tree Species  

E-Print Network (OSTI)

Forecast Technical Document Tree Species A document listing the tree species included in the 2011 Production Forecast Tom Jenkins Justin Gilbert Ewan Mackie Robert Matthews #12;PF2011 ­ List of tree species The following is the list of species used within the Forecast System. Species are ordered alphabetically

145

3, 21452173, 2006 Probabilistic forecast  

E-Print Network (OSTI)

HESSD 3, 2145­2173, 2006 Probabilistic forecast verification F. Laio and S. Tamea Title Page for probabilistic forecasts of continuous hydrological variables F. Laio and S. Tamea DITIC ­ Department­2173, 2006 Probabilistic forecast verification F. Laio and S. Tamea Title Page Abstract Introduction

Paris-Sud XI, Université de

146

4, 189212, 2007 Forecast and  

E-Print Network (OSTI)

OSD 4, 189­212, 2007 Forecast and analysis assessment through skill scores M. Tonani et al. Title Science Forecast and analysis assessment through skill scores M. Tonani 1 , N. Pinardi 2 , C. Fratianni 1 Forecast and analysis assessment through skill scores M. Tonani et al. Title Page Abstract Introduction

Paris-Sud XI, Université de

147

FINANCIAL FORECASTING USING GENETIC ALGORITHMS  

E-Print Network (OSTI)

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

Boetticher, Gary D.

148

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

149

Forecast of auroral activity  

Science Conference Proceedings (OSTI)

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

A. T. Y. Lui

2004-01-01T23:59:59.000Z

150

Climate-Carbon Cycle Interactions Dr. John P. Krasting  

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

Ensemble Modeling of Climate-Carbon Cycle Interactions Dr. John P. Krasting geophysical fluid dynamics Laboratory Wednesday, Jan 23, 2013 - 4:15PM MBG AUDITORIUM Refreshments at...

151

"New Results from the National Ignition Facility", Dr. John Lindl...  

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

Dr. John Lindl, Lawrence Livermore National Laboratory Since completion of the NIF construction project in March 2009, a wide variety of diagnostics, facility...

152

John P. Holdren and Nancy Sutley | Department of Energy  

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

P. Holdren and Nancy Sutley About Us John P. Holdren and Nancy Sutley Most Recent Green Button Giving Millions of Americans Better Handle on Energy Costs March 22...

153

John Hsu, Oak Ridge National Laboratory, Flux Coupling Machines...  

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

Flux Coupling Machines and Switched Reluctance Motors to Replace Permanent Magnets in Electric Vehicles John Hsu, Oak Ridge National Laboratory, Flux Coupling Machines and...

154

Mr. John Kinneman, Chief Nuclear Materfals Branch Nuclear Regulatory...  

Office of Legacy Management (LM)

111989 Mr. John Kinneman, Chief Nuclear Materfals Branch Nuclear Regulatory Commission Region I 475 Allendale Road King of Prussia. Pennsylvania 19406 Dear Mr. Kinneman: -;' .-. 'W...

155

NNSA's John Mitsunaga named New Mexico Federal Employee of the...  

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

John Mitsunaga named New Mexico Federal Employee of the Year | National Nuclear Security Administration Our Mission Managing the Stockpile Preventing Proliferation Powering the...

156

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,

157

Forecasting Dangerous Inmate Misconduct: An Applications of Ensemble Statistical Procedures  

E-Print Network (OSTI)

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

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

2005-01-01T23:59:59.000Z

158

Information and Inference in Econometrics: Estimation, Testing and Forecasting  

E-Print Network (OSTI)

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

Tu, Yundong

2012-01-01T23:59:59.000Z

159

Forecasting Dangerous Inmate Misconduct: An Applications of Ensemble Statistical Procedures  

E-Print Network (OSTI)

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

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

2011-01-01T23:59:59.000Z

160

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":""}]}

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
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161

John J. Dunn - Brookhaven National Laboratory  

NLE Websites -- All DOE Office Websites (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.

162

Graduate Alumni LEHIGH UNIVERSITY 1 John H. Weitz ++  

E-Print Network (OSTI)

. Jeffrey S. Brooks* Mr. and Mrs. Philip L. Brooks* Mr. Anthony R. Brown* Mr. and Mrs. Bernard J. Brown JrDaniel* Spencer and Karimeh McDaniel* Mr. John D. McDonnell* Mr. and Mrs. John J. McFadden Jr. The Honorable Balister Ms. Shelta M. Banks and Mr. Robert C. Banks Jr. * Mr. and Mrs. George D. Barnes* Ms. Claire

Gilchrist, James F.

163

Management Earnings Forecasts and Value of Analyst Forecast Revisions  

E-Print Network (OSTI)

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

Yongtae Kim; Minsup Song

2013-01-01T23:59:59.000Z

164

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.

165

John C. Barnes of Savannah River Operations named 2012 Facility  

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

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

166

Chapter 11 Forecasting breaks and forecasting during breaks  

E-Print Network (OSTI)

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

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

2011-01-01T23:59:59.000Z

167

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

E-Print Network (OSTI)

SOLAR-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-term or ongoing deployment is required. The Solar Powered AUV (SAUV) is designed for continuous deployment (weeks

168

Forecasting Uncertain Hotel Room Demand  

E-Print Network (OSTI)

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

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

2001-01-01T23:59:59.000Z

169

Forecast Technical Document Growing Stock Volume  

E-Print Network (OSTI)

Forecast Technical Document Growing Stock Volume Forecasts A document describing how growing stock (`standing') volume is handled in the 2011 Production Forecast. Tom Jenkins Robert Matthews Ewan Mackie Lesley Halsall #12;PF2011 ­ Growing stock volume forecasts Background A forecast of standing volume (or

170

Aviation forecasting and systems analyses  

SciTech Connect

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

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

1980-01-01T23:59:59.000Z

171

Studies of inflation and forecasting.  

E-Print Network (OSTI)

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

Bermingham, Colin

2011-01-01T23:59:59.000Z

172

UWIG Forecasting Workshop -- Albany (Presentation)  

SciTech Connect

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

Lew, D.

2011-04-01T23:59:59.000Z

173

On the Prediction of Forecast Skill  

Science Conference Proceedings (OSTI)

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

T. N. Palmer; S. Tibaldi

1988-12-01T23:59:59.000Z

174

Equitable Skill Scores for Categorical Forecasts  

Science Conference Proceedings (OSTI)

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

Lev S. Gandin; Allan H. Murphy

1992-02-01T23:59:59.000Z

175

Evaluation of errors in national energy forecasts.  

E-Print Network (OSTI)

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

Sakva, Denys

2005-01-01T23:59:59.000Z

176

What Is the True Value of Forecasts?  

Science Conference Proceedings (OSTI)

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

Antony Millner

2009-10-01T23:59:59.000Z

177

Lagged Ensembles, Forecast Configuration, and Seasonal Predictions  

Science Conference Proceedings (OSTI)

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

Mingyue Chen; Wanqiu Wang; Arun Kumar

2013-10-01T23:59:59.000Z

178

Whither the Weather Analysis and Forecasting Process?  

Science Conference Proceedings (OSTI)

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

Lance F. Bosart

2003-06-01T23:59:59.000Z

179

Lagged Ensembles, Forecast Configuration, and Seasonal Predictions  

Science Conference Proceedings (OSTI)

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

Mingyue Chen; Wanqiu Wang; Arun Kumar

180

Improving Forecast Communication: Linguistic and Cultural Considerations  

Science Conference Proceedings (OSTI)

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

Karen Pennesi

2007-07-01T23:59:59.000Z

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

Ensemble Cloud Model Applications to Forecasting Thunderstorms  

Science Conference Proceedings (OSTI)

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

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

2002-04-01T23:59:59.000Z

182

Probabilistic Verification of Monthly Temperature Forecasts  

Science Conference Proceedings (OSTI)

Monthly forecasting bridges the gap between medium-range weather forecasting and seasonal predictions. While such forecasts in the prediction range of 1–4 weeks are vital to many applications in the context of weather and climate risk management, ...

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

2008-12-01T23:59:59.000Z

183

CALIFORNIA ENERGY DEMAND 20122022 FINAL FORECAST  

E-Print Network (OSTI)

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

184

CALIFORNIA ENERGY DEMAND 20142024 FINAL FORECAST  

E-Print Network (OSTI)

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

185

A Forecast for the California Labor Market  

E-Print Network (OSTI)

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

Mitchell, Daniel J. B.

2001-01-01T23:59:59.000Z

186

STAFF FORECAST OF 2007 PEAK STAFFREPORT  

E-Print Network (OSTI)

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

187

Operational Forecaster Uncertainty Needs and Future Roles  

Science Conference Proceedings (OSTI)

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

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

2008-12-01T23:59:59.000Z

188

Calibration of Probabilistic Forecasts of Binary Events  

Science Conference Proceedings (OSTI)

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

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

2009-03-01T23:59:59.000Z

189

CORPORATE GOVERNANCE AND MANAGEMENT EARNINGS FORECAST  

E-Print Network (OSTI)

1 CORPORATE GOVERNANCE AND MANAGEMENT EARNINGS FORECAST QUALITY: EVIDENCE FROM FRENCH IPOS Anis attributes, ownership retained, auditor quality, and underwriter reputation and management earnings forecast quality measured by management earnings forecast accuracy and bias. Using 117 French IPOs, we find

Paris-Sud XI, Université de

190

Forecasting women's apparel sales using mathematical  

E-Print Network (OSTI)

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

Raheja, Amar

191

Diagnosing Forecast Errors in Tropical Cyclone Motion  

Science Conference Proceedings (OSTI)

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

Thomas J. Galarneau Jr.; Christopher A. Davis

2013-02-01T23:59:59.000Z

192

Forecasting Electric Vehicle Costs with Experience Curves  

E-Print Network (OSTI)

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

Lipman, Timonthy E.; Sperling, Daniel

2001-01-01T23:59:59.000Z

193

Calibration of Probabilistic Quantitative Precipitation Forecasts  

Science Conference Proceedings (OSTI)

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

Roman Krzysztofowicz; Ashley A. Sigrest

1999-06-01T23:59:59.000Z

194

Evaluating Probabilistic Forecasts Using Information Theory  

Science Conference Proceedings (OSTI)

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

Mark S. Roulston; Leonard A. Smith

2002-06-01T23:59:59.000Z

195

Virtual Floe Ice Drift Forecast Model Intercomparison  

Science Conference Proceedings (OSTI)

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

Robert W. Grumbine

1998-09-01T23:59:59.000Z

196

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

E-Print Network (OSTI)

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

James Mitchell; Kenneth F. Wallis

2008-01-01T23:59:59.000Z

197

SR/OIAF/2003-02 Analysis of S.139,  

E-Print Network (OSTI)

Scrap biofuels targets and focus on improved public transport Friends of the Earth's biofuels campaigner Kenneth Richter argues that biofuel targets are a distraction from tried-and-tested ways, Greenpeace and the RSPB, Friends of the Earth is opposed to high EU and UK biofuel targets that cannot be met

Ford, Andrew

198

OIAF Products and Data Analyses Brochure, May 2000  

U.S. Energy Information Administration (EIA)

As required by the Energy Policy Act of 1992,this report presents the annual estimates of U.S.emissions for carbon dioxide, methane, nitrous oxide, ...

199

The evolution of consensus in macroeconomic forecasting  

E-Print Network (OSTI)

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

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

2004-01-01T23:59:59.000Z

200

Background pollution forecast over bulgaria  

Science Conference Proceedings (OSTI)

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

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

2009-06-01T23:59:59.000Z

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

Frequency Dependence in Forecast Skill  

Science Conference Proceedings (OSTI)

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

H. M. van Den Dool; Suranjana Saha

1990-01-01T23:59:59.000Z

202

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

203

Improving Forecasting: A plea for historical retrospectives  

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

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

204

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

205

First NERSC Director John Killeen Dies at 87  

NLE Websites -- All DOE Office Websites (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

206

John J. MacWilliams | Department of Energy  

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

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

207

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

208

Rebuilding It Better; BTI-Greensburg, John Deere Dealership (Brochure)  

SciTech Connect

This case study highlights the energy-saving features of the BTI-Greensburg John Deere Dealership. This metal building is expected to save close to 50% in annual energy cost.

Not Available

2009-04-01T23:59:59.000Z

209

John H. Wood Gary R. Long David F. Morehouse Energy ...  

U.S. Energy Information Administration (EIA)

Long-Term World Oil Supply Scenarios The Future Is Neither as Bleak or Rosy as Some Assert John H. Wood Gary R. Long David F. Morehouse Energy Information Administration

210

An Environmental Tribute to Karol Wojtyla: Pope John Paul II  

E-Print Network (OSTI)

Paul II. Warsaw: Edipress Poland. Address of Pope John Paul>, Fulbright Scholar in Poland 2004/2005. Professor,impossible for anyone to be in Poland from April second to

Jankowska, Maria Anna

2005-01-01T23:59:59.000Z

211

Processos Ecossistêmicos em Planícies Alagáveis John M. Melack...  

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

25 a 541. 1 Processos Ecossistmicos em Plancies Alagveis John M. Melack, 1 Evelyn M. L. M. Novo, 2 Bruce R. Forsberg, 3 Maria T. F. Piedade, 3 e Laurence Maurice, 4 As...

212

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

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

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.

213

~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

214

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,

215

Session Chair: John Boyes, SNL TIME PROJECT SPEAKER  

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

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

216

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

NLE Websites -- All DOE Office Websites (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

217

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

E-Print Network (OSTI)

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

218

Quantitative Precipitation Forecast Techniques for Use in Hydrologic Forecasting  

Science Conference Proceedings (OSTI)

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

Konstantine P. Georgakakos; Michael D. Hudlow

1984-11-01T23:59:59.000Z

219

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

220

Load Forecast For use in Resource Adequacy  

E-Print Network (OSTI)

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

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

Forecast Technical Document Felling and Removals  

E-Print Network (OSTI)

Forecast Technical Document Felling and Removals Forecasts A document describing how volume fellings and removals are handled in the 2011 Production Forecast system. Tom Jenkins Robert Matthews Ewan Mackie Lesley Halsall #12;PF2011 ­ Felling and removals forecasts Background A fellings and removals

222

CALIFORNIA ENERGY DEMAND 20122022 FINAL FORECAST  

E-Print Network (OSTI)

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

223

Combining forecast weights: Why and how?  

Science Conference Proceedings (OSTI)

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

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

2012-01-01T23:59:59.000Z

224

PROBLEMS OF FORECAST1 Dmitry KUCHARAVY  

E-Print Network (OSTI)

1 PROBLEMS OF FORECAST1 Dmitry KUCHARAVY dmitry.kucharavy@insa-strasbourg.fr Roland DE GUIO roland for the purpose of Innovative Design. First, a brief analysis of problems for existing forecasting methods of the forecast errors. Second, using a contradiction analysis, a set of problems related to technology forecast

Paris-Sud XI, Université de

225

Using reforecasts for probabilistic forecast calibration  

E-Print Network (OSTI)

1 Using reforecasts for probabilistic forecast calibration Tom Hamill NOAA Earth System Research that is currently operational. #12;3 Why compute reforecasts? · For many forecast problems, such as long-lead forecasts or high-precipitation events, a few past forecasts may be insufficient for calibrating

Hamill, Tom

226

Assessing Forecast Accuracy Measures Department of Economics  

E-Print Network (OSTI)

Assessing Forecast Accuracy Measures Zhuo Chen Department of Economics Heady Hall 260 Iowa State forecast accuracy measures. In the theoretical direction, for comparing two forecasters, only when the errors are stochastically ordered, the ranking of the forecasts is basically independent of the form

227

Current status of ForecastCurrent status of Forecast 2005 EPACT is in the model  

E-Print Network (OSTI)

1 1 Current status of ForecastCurrent status of Forecast 2005 EPACT is in the model 2007 Federal prices are being inputted into the model 2 Sales forecast Select yearsSales forecast Select years --Draft 0.53% Irrigation 2.76% Annual Growth Rates Preliminary Electricity ForecastAnnual Growth Rates

228

Can earnings forecasts be improved by taking into account the forecast bias?  

E-Print Network (OSTI)

Can earnings forecasts be improved by taking into account the forecast bias? François DOSSOU allow the calculation of earnings adjusted forecasts, for horizons from 1 to 24 months. We explain variables. From the forecast evaluation statistics viewpoints, the adjusted forecasts make it possible quasi

Paris-Sud XI, Université de

229

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":""}]}

230

Value of Wind Power Forecasting  

DOE Green Energy (OSTI)

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

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

2011-04-01T23:59:59.000Z

231

Fuzzy forecasting with DNA computing  

Science Conference Proceedings (OSTI)

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

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

2006-06-01T23:59:59.000Z

232

Sampling Errors in Seasonal Forecasting  

Science Conference Proceedings (OSTI)

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

Stephen Cusack; Alberto Arribas

2009-03-01T23:59:59.000Z

233

Scoring Rules for Forecast Verification  

Science Conference Proceedings (OSTI)

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

Riccardo Benedetti

2010-01-01T23:59:59.000Z

234

Wavelets and Field Forecast Verification  

Science Conference Proceedings (OSTI)

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

William M. Briggs; Richard A. Levine

1997-06-01T23:59:59.000Z

235

Richardson's Barotropic Forecast: A Reappraisal  

Science Conference Proceedings (OSTI)

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

Peter Lynch

1992-01-01T23:59:59.000Z

236

Downscaling Extended Weather Forecasts for Hydrologic Prediction  

SciTech Connect

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

Leung, Lai-Yung R.; Qian, Yun

2005-03-01T23:59:59.000Z

237

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

Science Conference Proceedings (OSTI)

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

Marion P. Mittermaier

2008-10-01T23:59:59.000Z

238

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

Science Conference Proceedings (OSTI)

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

Paul J. Roebber; Lance F. Bosart

1996-12-01T23:59:59.000Z

239

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

Science Conference Proceedings (OSTI)

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

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

2013-02-01T23:59:59.000Z

240

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

E-Print Network (OSTI)

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

Goto, Susumu

2007-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "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.


241

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

Science Conference Proceedings (OSTI)

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

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

2009-04-01T23:59:59.000Z

242

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

Science Conference Proceedings (OSTI)

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

Hae-Kyung Lee Drbohlav; V. Krishnamurthy

2010-09-01T23:59:59.000Z

243

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

Science Conference Proceedings (OSTI)

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

Allan H. Murphy

1993-06-01T23:59:59.000Z

244

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

Science Conference Proceedings (OSTI)

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

Barbara G. Brown; Allan H. Murphy

1987-09-01T23:59:59.000Z

245

Light truck forecasts  

SciTech Connect

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

Liepins, G.E.

1979-09-01T23:59:59.000Z

246

Building Green in Greensburg: BTI Greensburg John Deere  

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

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

247

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

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

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

248

Annual Energy Outlook Forecast Evaluation-Table 1  

Annual Energy Outlook 2012 (EIA)

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

249

FINAL DEMAND FORECAST FORMS AND INSTRUCTIONS FOR THE 2007  

E-Print Network (OSTI)

CALIFORNIA ENERGY COMMISSION FINAL DEMAND FORECAST FORMS AND INSTRUCTIONS FOR THE 2007 INTEGRATED Table of Contents General Instructions for Demand Forecast Submittals.............................................................................. 4 Protocols for Submitted Demand Forecasts

250

Forecasting new product penetration with flexible substitution patterns  

E-Print Network (OSTI)

choice model for forecasting demand for alternative-fuel7511, Urban Travel Demand Forecasting Project, Institute of89 (1999) 109—129 Forecasting new product penetration with ?

Brownstone, David; Train, Kenneth

1999-01-01T23:59:59.000Z

251

Overestimation Reduction in Forecasting Telecommuting as a TDM Policy  

E-Print Network (OSTI)

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

Tal, Gil

2008-01-01T23:59:59.000Z

252

Forecasting US CO2 Emissions Using State-Level Data  

E-Print Network (OSTI)

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

Steinhauser, Ralf; Auffhammer, Maximilian

2005-01-01T23:59:59.000Z

253

NoVaS Transformations: Flexible Inference for Volatility Forecasting  

E-Print Network (OSTI)

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

Politis, Dimitris N; Thomakos, Dimitrios D

2008-01-01T23:59:59.000Z

254

Forecasting new product penetration with flexible substitution patterns  

E-Print Network (OSTI)

7511, Urban Travel Demand Forecasting Project, Institute ofchoice model for forecasting demand for alternative-fuel89 (1999) 109—129 Forecasting new product penetration with

Brownstone, David; Train, Kenneth

1999-01-01T23:59:59.000Z

255

Earthquake Forecasting in Diverse Tectonic Zones of the Globe  

E-Print Network (OSTI)

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

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

2010-01-01T23:59:59.000Z

256

Ensemble-based methods for forecasting census in hospital units  

E-Print Network (OSTI)

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

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

2013-01-01T23:59:59.000Z

257

Forecasting Danerous Inmate Misconduct: An Applications of Ensemble Statistical Procedures  

E-Print Network (OSTI)

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

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

2005-01-01T23:59:59.000Z

258

Developing a Practical Forecasting Screener for Domestic Violence Incidents  

E-Print Network (OSTI)

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

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

2011-01-01T23:59:59.000Z

259

Forecasting with Dynamic Microsimulation: Design, Implementation, and Demonstration  

E-Print Network (OSTI)

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

Ravulaparthy, Srinath; Goulias, Konstadinos G.

2011-01-01T23:59:59.000Z

260

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"

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


261

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

262

Solar Neutrinos: Solved and Unsolved Problems John N. Bahcall  

E-Print Network (OSTI)

Chapter 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 neutrinos? Why are the calculations of neutrino fluxes robust? What are the three solar neutrino problems

Bahcall, John

263

REVIEW PLAN John Redmond Dam Reservoir, Coffee County, Kansas  

E-Print Network (OSTI)

............................................................................................................1 2. REVIEW MANAGEMENT ORGANIZATION (RMO) COORDINATION Report with Responses to HQ Comments and support for John Redmond Dam and Reservoir, Kansas. (6) CEWSL Statement (HQ Policy Compliance Review). (8) SWT-PE-P Memorandum 29 June 2009; Response to HQ Policy

US Army Corps of Engineers

264

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

NLE Websites -- All DOE Office Websites (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. ...

265

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

E-Print Network (OSTI)

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 and a rich research re- source. The book provides a well-balanced treat- ment of sol-gel materials with its

Cao, Guozhong

266

7 Free Will Is Un-natural John A. Bargh  

E-Print Network (OSTI)

7 Free Will Is Un-natural John A. Bargh The history of social psychology, and especially its/16/2007 11:22:39 AM #12;free will is un-natural 129 the work.... We must build up the same resistance of the work." The present analysis of the scientific status of the free will concept is there- fore

Bargh, John A.

267

John Sethian and Steve Obenschain Plasma Physics Division  

E-Print Network (OSTI)

, DC Fusion Power Associated Annual Meeting Washington DC Oct 12, 2005 Laser Fusion Energy: Progress1 John Sethian and Steve Obenschain Plasma Physics Division Naval Research Laboratory Washington Chamber Modeling: We identified a "chamber operating" window for long term wall survival, target injection

268

Quantum computing: pro and con BY JOHN PRESKILL  

E-Print Network (OSTI)

Quantum computing: pro and con BY JOHN PRESKILL Charles C. Lauritsen Laboratory of High Energy Physics, California Institute of Technology, Pasadena, CA 91125, USA I assess the potential of quantum computation. Broad and important applications must be found to justify construction of a quantum computer; I

Preskill, John

269

JOHN H. REYNOLDS April 3, 1923--November 4, 2000  

E-Print Network (OSTI)

Studies at University of Chicago Inspired by his reading about the Manhattan Project, John decided to do, on his World War II defense research project in electroacoustics. After graduating Summa cum Laude active service 28 June 1943 as an ordnance officer, where he worked on an anti-submarine project

Price, P. Buford

270

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

271

Summary Verification Measures and Their Interpretation for Ensemble Forecasts  

Science Conference Proceedings (OSTI)

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

A. Allen Bradley; Stuart S. Schwartz

2011-09-01T23:59:59.000Z

272

A Review of Numerical Forecast Guidance for Hurricane Hugo  

Science Conference Proceedings (OSTI)

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

John H. Ward

1990-09-01T23:59:59.000Z

273

Using Customers' Reported Forecasts to Predict Future Sales  

E-Print Network (OSTI)

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

Murphy, Robert F.

274

Short-Range Ensemble Forecasts of Precipitation Type  

Science Conference Proceedings (OSTI)

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

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

2005-08-01T23:59:59.000Z

275

The Automated Tropical Cyclone Forecasting System (ATCF)  

Science Conference Proceedings (OSTI)

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

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

1990-12-01T23:59:59.000Z

276

Performance of Recent Multimodel ENSO Forecasts  

Science Conference Proceedings (OSTI)

The performance of the International Research Institute for Climate and Society “ENSO forecast plume” during the 2002–11 period is evaluated using deterministic and probabilistic verification measures. The plume includes multiple model forecasts ...

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

2012-03-01T23:59:59.000Z

277

Local Forecast Communication In The Altiplano  

Science Conference Proceedings (OSTI)

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

Jere L. Gilles; Corinne Valdivia

2009-01-01T23:59:59.000Z

278

Evaluation of LFM-2 Quantitative Precipitation Forecasts  

Science Conference Proceedings (OSTI)

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

Lance F. Bosart

1980-08-01T23:59:59.000Z

279

Bayesian Model Verification of NWP Ensemble Forecasts  

Science Conference Proceedings (OSTI)

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

Andreas Röpnack; Andreas Hense; Christoph Gebhardt; Detlev Majewski

2013-01-01T23:59:59.000Z

280

Value from Ambiguity in Ensemble Forecasts  

Science Conference Proceedings (OSTI)

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

Mark S. Allen; F. Anthony Eckel

2012-02-01T23:59:59.000Z

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

Forecaster Workstation Design: Concepts and Issues  

Science Conference Proceedings (OSTI)

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

Charles A. Doswell III

1992-06-01T23:59:59.000Z

282

Economic and Statistical Measures of Forecast Accuracy  

E-Print Network (OSTI)

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

Granger, Clive W J; Pesaran, M Hashem

2004-06-16T23:59:59.000Z

283

2013 Midyear Economic Forecast Sponsorship Opportunity  

E-Print Network (OSTI)

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

de Lijser, Peter

284

Forecasting consumer products using prediction markets  

E-Print Network (OSTI)

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

Trepte, Kai

2009-01-01T23:59:59.000Z

285

Probabilistic Visibility Forecasting Using Bayesian Model Averaging  

Science Conference Proceedings (OSTI)

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

Richard M. Chmielecki; Adrian E. Raftery

2011-05-01T23:59:59.000Z

286

Intercomparison of Spatial Forecast Verification Methods  

Science Conference Proceedings (OSTI)

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

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

2009-10-01T23:59:59.000Z

287

Forecasting with Reference to a Specific Climatology  

Science Conference Proceedings (OSTI)

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

Emily Wallace; Alberto Arribas

2012-11-01T23:59:59.000Z

288

Probabilistic Quantitative Precipitation Forecasts for River Basins  

Science Conference Proceedings (OSTI)

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

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

1993-12-01T23:59:59.000Z

289

A General Framework for Forecast Verification  

Science Conference Proceedings (OSTI)

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

Allan H. Murphy; Robert L. Winkler

1987-07-01T23:59:59.000Z

290

Antarctic Satellite Meteorology: Applications for Weather Forecasting  

Science Conference Proceedings (OSTI)

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

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

2003-02-01T23:59:59.000Z

291

Management of supply chain: an alternative modelling technique for forecasting  

E-Print Network (OSTI)

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

Datta, Shoumen

2007-05-23T23:59:59.000Z

292

WBJ-12-0001 - In the Matter of John Robertson | Department of...  

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

WBJ-12-0001 - In the Matter of John Robertson WBJ-12-0001 - In the Matter of John Robertson On September 12, 2012, an OHA Hearing Officer issued a Protective Order in a case...

293

DOE/EIS-0332: Mitigation Action Plan for th eMcNary-John Day...  

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

McNary-John Day Transmission Line Project This Mitigation Action Plan (MAP) is for the McNary-John Day Transmission Line Project, which involves construction and operation of a new...

294

Improving week two forecasts with multi-model re-forecast ensembles  

E-Print Network (OSTI)

Improving week two forecasts with multi-model re-forecast ensembles Jeffrey S. Whitaker and Xue Wei NOAA-CIRES Climate Diagnostics Center, Boulder, CO Fr´ed´eric Vitart Seasonal Forecasting Group, ECMWF dataset of ensemble 're-forecasts' from a single model can significantly improve the skill

Whitaker, Jeffrey S.

295

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

Science Conference Proceedings (OSTI)

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

Theodore W. Funk

1991-12-01T23:59:59.000Z

296

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

Science Conference Proceedings (OSTI)

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

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

2009-06-01T23:59:59.000Z

297

Forecasting for energy and chemical decision analysis  

SciTech Connect

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

Cazalet, E.G.

1984-08-01T23:59:59.000Z

298

A Rank Approach to Equity Forecast Construction  

E-Print Network (OSTI)

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

Satchell, Stephen E; Wright, Stephen M

2006-03-14T23:59:59.000Z

299

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

300

Load Forecasting for Modern Distribution Systems  

Science Conference Proceedings (OSTI)

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

2013-03-08T23:59:59.000Z

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

CALIFORNIA ENERGY DEMAND 20142024 FINAL FORECAST  

E-Print Network (OSTI)

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

302

CALIFORNIA ENERGY DEMAND 20142024 REVISED FORECAST  

E-Print Network (OSTI)

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

303

REVISED CALIFORNIA ENERGY DEMAND FORECAST 20122022  

E-Print Network (OSTI)

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

304

REVISED CALIFORNIA ENERGY DEMAND FORECAST 20122022  

E-Print Network (OSTI)

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

305

Load forecast and treatment of conservation  

E-Print Network (OSTI)

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

306

FINAL STAFF FORECAST OF 2008 PEAK DEMAND  

E-Print Network (OSTI)

CALIFORNIA ENERGY COMMISSION FINAL STAFF FORECAST OF 2008 PEAK DEMAND STAFFREPORT June 2007 CEC-200 of the information in this paper. #12;Abstract This document describes staff's final forecast of 2008 peak demand demand forecasts for the respective territories of the state's three investor-owned utilities (IOUs

307

STAFF FORECAST: AVERAGE RETAIL ELECTRICITY PRICES  

E-Print Network (OSTI)

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

308

Blue Chip Consensus US GDP Forecast  

E-Print Network (OSTI)

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

James F. Wilson

2007-01-01T23:59:59.000Z

309

5, 183218, 2008 A rainfall forecast  

E-Print Network (OSTI)

HESSD 5, 183­218, 2008 A rainfall forecast model using Artificial Neural Network N. Q. Hung et al An artificial neural network model for rainfall forecasting in Bangkok, Thailand N. Q. Hung, M. S. Babel, S Geosciences Union. 183 #12;HESSD 5, 183­218, 2008 A rainfall forecast model using Artificial Neural Network N

Paris-Sud XI, Université de

310

System Demonstration Multilingual Weather Forecast Generation System  

E-Print Network (OSTI)

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

311

(1) Ensemble forecast calibration & (2) using reforecasts  

E-Print Network (OSTI)

1 (1) Ensemble forecast calibration & (2) using reforecasts Tom Hamill NOAA Earth System Research · Calibration: ; the statistical adjustment of the (ensemble) forecast ­ Rationale 1: Infer large-sample probabilities from small ensemble. ­ Rationale 2: Remove bias, increase forecast reliability while preserving

Hamill, Tom

312

Modeling and Forecasting Electric Daily Peak Loads  

E-Print Network (OSTI)

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

Abdel-Aal, Radwan E.

313

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.

314

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

315

Price forecasting for notebook computers  

E-Print Network (OSTI)

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

Rutherford, Derek Paul

1997-01-01T23:59:59.000Z

316

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

Science Conference Proceedings (OSTI)

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

2001-09-28T23:59:59.000Z

317

John Day Watershed Restoration Projects, annual report 2003.  

DOE Green Energy (OSTI)

The John Day is the nation's second longest free-flowing river in the contiguous United States and the longest containing entirely unsupplemented runs of anadromous fish. Located in eastern Oregon, the basin drains over 8,000 square miles, Oregon's fourth largest drainage basin, and incorporates portions of eleven counties. Originating in the Strawberry Mountains near Prairie City, the John Day River flows 284 miles in a northwesterly direction, entering the Columbia River approximately four miles upstream of the John Day dam. With wild runs of spring Chinook salmon and summer steelhead, westslope cutthroat, and redband and bull trout, the John Day system is truly a basin with national significance. The majority of the John Day basin was ceded to the Federal government in 1855 by the Confederated Tribes of the Warm Springs Reservation of Oregon (Tribes). In 1997, the Tribes established an office in the basin to coordinate restoration projects, monitoring, planning and other watershed activities on private and public lands. Once established, the John Day Basin Office (JDBO) formed a partnership with the Grant Soil and Water Conservation District (GSWCD), which contracts the majority of the construction implementation activities for these projects from the JDBO. The GSWCD completes the landowner contact, preliminary planning, engineering design, permitting, construction contracting, and construction implementation phases of most projects. The JDBO completes the planning, grant solicitation/defense, environmental compliance, administrative contracting, monitoring, and reporting portion of the program. Most phases of project planning, implementation, and monitoring are coordinated with the private landowners and basin agencies, such as the Oregon Department of Fish and Wildlife and Oregon Water Resources Department. In 2003, the JDBO and GSWCD proposed continuation of their successful partnership between the two agencies and basin landowners to implement an additional twelve (12) watershed conservation projects. The types of projects include off channel water developments, juniper control, permanent diversions, pump stations, and return-flow cooling systems. Due to funding issues and delays, permitting delays, fire closures and landowner contracting problems, 2 projects were canceled and 7 projects were rescheduled to the 2004 construction season. Project costs in 2003 totaled $115,554.00 with a total amount of $64,981.00 (56%) provided by the Bonneville Power Administration (BPA) and the remainder coming from other sources such as the Bureau of Reclamation (BOR), Oregon Watershed Enhancement Board, the U.S. Fish & Wildlife Service Partners in Wildlife Program and individual landowners.

Brown, Linda (Confederated Tribes of the Warm Springs Reservation of Oregon, John Day Basin Office, John Day, OR)

2004-01-01T23:59:59.000Z

318

Microsoft Word - L0295-StJohnsTap-CX.doc  

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

0 0 REPLY TO ATTN OF: KEC-4 SUBJECT: Environmental Clearance Memorandum Joyce Vaughn Project Engineering - TELP-TPP-3 Proposed Action: L0295 - St. Johns-St. Helens #1 Interconnection Project Budget Information: Work Order #004866, Task 04 Categorical Exclusion Applied (from Subpart D, 10 C.F.R. Part 1021): B4.6: "Additions or modifications to electric power transmission facilities that would not affect the environment beyond the previously developed facility area..." Location: Columbia County, Oregon (T4N, R1W, Section 7) Proposed by: Bonneville Power Administration (BPA) and Columbia River PUD (CRPUD) Description of the Proposed Action: BPA proposes to install a new tap and associated disconnect structures on BPA's St. Johns-St. Helens #1 115-kilovolt (kV) transmission line to

319

Cabin John, Maryland: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Cabin John, Maryland: Energy Resources Cabin John, Maryland: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 38.975388°, -77.1580349° 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":38.975388,"lon":-77.1580349,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

320

JOHN H. LYNCH Governor OFFICE OF THE GOVERNOR  

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

JOHN H. LYNCH JOHN H. LYNCH Governor OFFICE OF THE GOVERNOR 107 North Main Street, State House - Rm 208 Concord, New Hampshire 03301 Telephone (603) 271-2121 www.nh.gov/governor governorlynch@nh.gov March 19, 2009 The Honorable Steven Chu Secretary U.S. Department of Energy 1 AT) LUUC 1;lclzpenCzncc X;.enue, S. W. Washington, D.C. 20585 Re: State Energy Program Assurances Dear Secretary Chu: As a condition of receiving our State's share of the $3.1 billion funding for the State Energy Program (SEP) under the American Recovery and Renewal Act of 2009 (H.R. I)(ARRA), I am providing the following assurances. I have written to our public utility commission and requested that they consider additional actions to promote energy efficiency, consistent with the Federal statutory language contained in H.R. 1 and their obligations to maintain just and

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321

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

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

U.S. House of Representatives U.S. House of Representatives John C. Layton: Before The Subcommittee on Oversight and Investigations U.S. House of Representatives October 23, 1997 Before The Subcommittee on Oversight and Investigations U.S. House of Representatives Statement of John C. Layton, Inspector General Department of Energy The Office of Inspector General, Department of Energy (DOE), has identified deficiencies in the administration of performance-based contracts. I believe that if contracts have incentives, they should encourage superior performance and discourage substandard performance. They should also be structured to ensure that safety is not compromised. We have made recommendations to help assure that incentive fees paid under performance based contracts represent actual achievement by the Department's

322

St. Johns, Arizona: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Johns, Arizona: Energy Resources Johns, Arizona: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 34.5058698°, -109.3609327° 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":34.5058698,"lon":-109.3609327,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

323

Charles M. Offenhauer '39G John H. Weitz '40G ++  

E-Print Network (OSTI)

. Hale '64G Stanley S. Le Roy '64G ++ Edward Mc Cafferty '64G '68G ++ Mary T. Pongracz '64G Diane S ++ George J. Tamaro '61G '86P '90P M. Herbert Wachs '61G '65G 1962 Mary E. Banzhof '62G John W. Caldwell '62 Jane B. Gerrish '65G Carol E. Hafner '65G Wilbur F. Hayes '61G '65G ++ Richard W. Hertzberg '65G 'F

Napier, Terrence

324

John Pearson - Argonne National Laboratories, Materials Sicence Division  

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

MF > John Pearson MF > John Pearson John Pearson Principle Materials Engineer Bldg. 223, B-137 Phone: 630-252-7738 This e-mail address is being protected from spambots. You need JavaScript enabled to view it. Education M.S. Southern Illinois University - 1987 Studied ion irradation effects in Si and Zr-Al alloys with the guidance of Lynn Rehn and Paul Okamoto (MSD-ANL). Thesis combined Transmission Electron Diffraction with Brillouin Light Scattering to study the effects of disorder on elastic constants Research and Expertise I joined the Magnetic Films Group in 1987 as a Scientific Assistant. I design and implement experiments in cooperation with the principal investigators of the Magnetic Films Group. I have studied thin-films, multilayers and superlattices with Electron Microscopy. I am involved in studies of magnetic coupling including Fe/Cr wedges using UV-photoemission, and Surface Magneto-Optical Kerr Effect (SMOKE). Currently, research includes STM studies on self-assembled magnetic nanostructures, and transport properties of lithographically patterned nanostructures.

325

John Day Fish Passage and Screening; 2001 Annual Report.  

Science Conference Proceedings (OSTI)

The accomplishments of the John Day, Umatilla, and Walla Walla Fish Passage and Screening Programs include the following: Operation and maintenance of 364 existing fish screening devices (see Table 4), replacement of 18 outdated fish screening devices that totaled 31 rotary drums (some were multiple drum systems), 4 new screens at unscreened diversions, 26 pump intake fish screens, fabrication of components for 16 additional fish screens for the Rogue basin, construction of two fish passage structures, and participation in other activities. After the replacement or construction of 22 fish screening devices during 2001, we now have 108 screening devices that meet NMFS criteria. Funding for these projects was attained from BPA, NMFS and OWEB. The John Day Fish Passage and Screening Program focused construction efforts into new and replacement fish screening devices for these various programs throughout the state of Oregon. The program also continued to develop and implement innovative designs to meet the diverse and expanding needs for the state of Oregon. Projects completed during this report period meet the current National Marine Fisheries Service (NMFS) criteria. Fish species targeted for protection include ESA Listed Mid-Columbia steelhead, Columbia basin bull trout, anadromous and resident salmonids, and numerous non-game fish species. Priority project locations have been identified as the upper reaches of the Middle Fork, North Fork, South Fork and the Mainstem of the John Day River and their tributaries. These upper reaches contain critical salmon and steelhead spawning and rearing habitat.

Allen, Steve (Oregon Department of Fish and Wildlife, John Day, OR)

2002-03-26T23:59:59.000Z

326

Essays on macroeconomics and forecasting  

E-Print Network (OSTI)

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

Liu, Dandan

2005-08-01T23:59:59.000Z

327

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,

328

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

329

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

330

Observations and Forecasts from the Landfall of Tropical Cyclones John, Lane, and Paul (2006) over Northwestern Mexico  

Science Conference Proceedings (OSTI)

This study focuses on track and intensity changes of three tropical cyclones that, during the season of 2006, developed in the eastern North Pacific basin and made landfall over northwestern Mexico. Observational datasets, including satellite and ...

Luis M. Farfán; Rosario Romero-Centeno; G. B. Raga

2012-12-01T23:59:59.000Z

331

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

Science Conference Proceedings (OSTI)

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

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

1998-12-01T23:59:59.000Z

332

Critical Operating Constraint Forecasting (COCF)  

Science Conference Proceedings (OSTI)

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

2006-06-30T23:59:59.000Z

333

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

E-Print Network (OSTI)

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

Evans, MDD; Lyons, Richard K.

2005-01-01T23:59:59.000Z

334

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

E-Print Network (OSTI)

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

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

2010-01-01T23:59:59.000Z

335

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

E-Print Network (OSTI)

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

Letschert, Virginie

2010-01-01T23:59:59.000Z

336

Solar wind oscillations with a 1.3 year period John D. Richardson, Karolen I. Paularena, John W. Belcher, and Alan J. Lazaru  

E-Print Network (OSTI)

Solar wind oscillations with a 1.3 year period s C John D. Richardson, Karolen I. Paularena, John W Abstract. The IMP-8 and Voyager 2 spacecraft have ecently detected a very strong modulation in the solar. Introduction The Sun emits a continuous stream of ionized particles s d called the solar wind. This wind

Richardson, John

337

R/ECON July 2000 Forecast RUTGERS ECONOMIC ADVISORY SERVICE  

E-Print Network (OSTI)

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

338

Increasing NOAA's computational capacity to improve global forecast modeling  

E-Print Network (OSTI)

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

Hamill, Tom

339

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

Science Conference Proceedings (OSTI)

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

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

1989-09-01T23:59:59.000Z

340

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

Science Conference Proceedings (OSTI)

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

Jianguo Liu; Zhenghui Xie

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

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

Science Conference Proceedings (OSTI)

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

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

2010-03-01T23:59:59.000Z

342

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

Science Conference Proceedings (OSTI)

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

Thomas M. Hamill; Daniel S. Wilks

1995-09-01T23:59:59.000Z

343

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

Science Conference Proceedings (OSTI)

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

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

2010-01-01T23:59:59.000Z

344

Implications of Ensemble Quantitative Precipitation Forecast Errors on Distributed Streamflow Forecasting  

Science Conference Proceedings (OSTI)

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

Giuseppe Mascaro; Enrique R. Vivoni; Roberto Deidda

2010-02-01T23:59:59.000Z

345

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

Science Conference Proceedings (OSTI)

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

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

2007-02-01T23:59:59.000Z

346

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

Science Conference Proceedings (OSTI)

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

David J. Stensrud; Nusrat Yussouf

2007-02-01T23:59:59.000Z

347

The Impact of Writing Area Forecast Discussions on Student Forecaster Performance  

Science Conference Proceedings (OSTI)

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

Patrick S. Market

2006-02-01T23:59:59.000Z

348

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

Science Conference Proceedings (OSTI)

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

Ashok Kumar; Parvinder Maini; S. V. Singh

1999-02-01T23:59:59.000Z

349

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

Science Conference Proceedings (OSTI)

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

A. Sankarasubramanian; Upmanu Lall; Susan Espinueva

2008-04-01T23:59:59.000Z

350

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

Science Conference Proceedings (OSTI)

This work examines the performance of Madden–Julian oscillation (MJO) forecasts from NCEP’s coupled and uncoupled general circulation models (GCMs) and statistical models. The forecast skill from these methods is evaluated in near–real time. ...

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

2009-05-01T23:59:59.000Z

351

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

Science Conference Proceedings (OSTI)

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

Doug McCollor; Roland Stull

2009-02-01T23:59:59.000Z

352

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

Science Conference Proceedings (OSTI)

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

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

1991-12-01T23:59:59.000Z

353

Forecasting Random Walks Under Drift Instability  

E-Print Network (OSTI)

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

Pesaran, M Hashem; Pick, Andreas

354

Solar future: 1978. [Market forecast to 1992  

SciTech Connect

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

Butt, S.H.

1978-03-01T23:59:59.000Z

355

Energy conservation and official UK energy forecasts  

SciTech Connect

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

Pearce, D.

1980-09-01T23:59:59.000Z

356

Geothermal wells: a forecast of drilling activity  

DOE Green Energy (OSTI)

Numbers and problems for geothermal wells expected to be drilled in the United States between 1981 and 2000 AD are forecasted. The 3800 wells forecasted for major electric power projects (totaling 6 GWe of capacity) are categorized by type (production, etc.), and by location (The Geysers, etc.). 6000 wells are forecasted for direct heat projects (totaling 0.02 Quads per year). Equations are developed for forecasting the number of wells, and data is presented. Drilling and completion problems in The Geysers, The Imperial Valley, Roosevelt Hot Springs, the Valles Caldera, northern Nevada, Klamath Falls, Reno, Alaska, and Pagosa Springs are discussed. Likely areas for near term direct heat projects are identified.

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

1981-07-01T23:59:59.000Z

357

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.

358

Time Series Prediction Forecasting the Future and ...  

Science Conference Proceedings (OSTI)

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

2012-10-01T23:59:59.000Z

359

Rolling 12 Month Forecast November-2008.xls  

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

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

360

Promotional forecasting in the grocery retail business  

E-Print Network (OSTI)

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

Koottatep, Pakawkul

2006-01-01T23:59:59.000Z

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361

Mr. John Kinneman, Chief Nuclear Materfals Branch Nuclear Regulatory Commission  

Office of Legacy Management (LM)

111989 111989 Mr. John Kinneman, Chief Nuclear Materfals Branch Nuclear Regulatory Commission Region I 475 Allendale Road King of Prussia. Pennsylvania 19406 Dear Mr. Kinneman: -;' .-. 'W Enclosed are the copfes of the final ORNL survey reports on the radiologlcal Surveys conducted on three Teterboro, New Jersey properties; Metpath Incorporated, Allied Aerospace Corporatio; and Sumftomo Machinery Corporation. Copies of these reports have &en sent directly to the owners by our survey contractor Oak Ridge National Laboratory. If you have any questions regardfng these reports. please call me at (301) 353-5439. Sfncerely, Enclosure : < I j i Andrew Wallo III, Designation and Certffication Manager Dfvisfon 01 Facility and Site Oeconanlssionfng Projects

362

Forecasting Prices andForecasting Prices and Congestion forCongestion for  

E-Print Network (OSTI)

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

Tesfatsion, Leigh

363

Wind Power Forecasting andWind Power Forecasting and Electricity Market Operations  

E-Print Network (OSTI)

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

Kemner, Ken

364

Physicist John Schmidt, designer of cutting-edge fusion facilities, dies at  

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

Physicist John Schmidt, designer of cutting-edge fusion facilities, dies at Physicist John Schmidt, designer of cutting-edge fusion facilities, dies at 72 By John Greenwald February 15, 2013 Tweet Widget Facebook Like Google Plus One John Schmidt, 1940-2013 (Photo by Elle Starkman) John Schmidt, 1940-2013 Physicist John Schmidt, whose profound and wide-ranging contributions to the U.S. Department of Energy's Princeton Plasma Physics Laboratory (PPPL) made him a highly respected leader in the worldwide quest for fusion energy, died on February 13 following a brain hemorrhage. He was 72. Schmidt won wide acclaim for heading the design of cutting-edge facilities for magnetic fusion research during a 36-year career at PPPL, from which he retired in 2005. As interim director in 1996 he led the Laboratory's successful transition from large, fusion power-producing experiments such

365

Meet Energy Champion John O'Connor of the USDA Forest Service |  

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

Meet Energy Champion John O'Connor of the USDA Forest Service Meet Energy Champion John O'Connor of the USDA Forest Service Meet Energy Champion John O'Connor of the USDA Forest Service March 11, 2011 - 12:50pm Addthis USDA Forest Service energy champs John O'Connor, Bob Allen and Brian DeRousseau USDA Forest Service energy champs John O'Connor, Bob Allen and Brian DeRousseau April Saylor April Saylor Former Digital Outreach Strategist, Office of Public Affairs John O'Connor has worked for the U.S. Department of Agriculture Forest Service for more than 30 years. During that time, he has taken on many roles, including wastewater plant operator, forestry aid, utilities system operator and his current position as the utilities systems leader for the North Umpqua and Diamond Lake Ranger District offices of the of the Umpqua

366

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

367

Forecasting during the Lake-ICE/SNOWBANDS Field Experiments  

Science Conference Proceedings (OSTI)

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

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

1999-12-01T23:59:59.000Z

368

Uses and Applications of Climate Forecasts for Power Utilities  

Science Conference Proceedings (OSTI)

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

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

1995-05-01T23:59:59.000Z

369

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

Science Conference Proceedings (OSTI)

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

Charles A. Doswell III; John A. Flueck

1989-06-01T23:59:59.000Z

370

A Probabilistic Forecast Approach for Daily Precipitation Totals  

Science Conference Proceedings (OSTI)

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

Petra Friederichs; Andreas Hense

2008-08-01T23:59:59.000Z

371

Precipitation and Temperature Forecast Performance at the Weather Prediction Center  

Science Conference Proceedings (OSTI)

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

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

372

Prediction of Consensus Tropical Cyclone Track Forecast Error  

Science Conference Proceedings (OSTI)

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

James S. Goerss

2007-05-01T23:59:59.000Z

373

An Experiment in Mesoscale Weather Forecasting in the Michigan Area  

Science Conference Proceedings (OSTI)

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

Dennis G. Baker

1986-12-01T23:59:59.000Z

374

The Economic Value Of Ensemble-Based Weather Forecasts  

Science Conference Proceedings (OSTI)

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

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

2002-01-01T23:59:59.000Z

375

Diversity in Interpretations of Probability: Implications for Weather Forecasting  

Science Conference Proceedings (OSTI)

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

Ramón de Elía; René Laprise

2005-05-01T23:59:59.000Z

376

An Alternative Tropical Cyclone Intensity Forecast Verification Technique  

Science Conference Proceedings (OSTI)

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

Sim D. Aberson

2008-12-01T23:59:59.000Z

377

On the Reliability and Calibration of Ensemble Forecasts  

Science Conference Proceedings (OSTI)

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

Christine Johnson; Neill Bowler

2009-05-01T23:59:59.000Z

378

Scoring Probabilistic Forecasts: The Importance of Being Proper  

Science Conference Proceedings (OSTI)

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

Jochen Bröcker; Leonard A. Smith

2007-04-01T23:59:59.000Z

379

Experiments in Temperature and Precipitation Forecasting for Illinois  

Science Conference Proceedings (OSTI)

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

John R. Gyakum

1986-06-01T23:59:59.000Z

380

CALIFORNIA ENERGY DEMAND 2008-2018 STAFF REVISED FORECAST  

E-Print Network (OSTI)

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

Note: This page contains sample records for the topic "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
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381

Book Review: Thoughts Abroad, by John Bruin. Del Valle, Texas: Troubadour Press, 1970. 28 + 1 pages.  

E-Print Network (OSTI)

EngLish at the University of Texas at Austin. His speciaL iby John Bruin. Del Valle, Texas: Troubador Press, 1970. 28 +

McCartney, Barney C.

1971-01-01T23:59:59.000Z

382

Tribute to Dr. John N. Bahcall by Dr. Raymond L. Orbach, Director...  

Office of Science (SC) Website

influence. He is most famous for his difficult but quite correct calculation of the solar neutrino flux. When Raymond Davis, Jr., found less than John predicted, many wrote...

383

John Widdicombe¿s contribution to respiratory physiology and cough: reminiscences  

E-Print Network (OSTI)

cough: reminiscences Kian Fan Chung 1* , Jay A Nadel 2 andthree separate pieces from Fan Chung, Jay Nadel and Giovanniof John. Appreciation from Fan Chung Early encounters with

Chung, Kian Fan; Nadel, Jay A; Fontana, Giovanni

2013-01-01T23:59:59.000Z

384

John. F. O'Leary Appointed to Lead Federal Energy Administration...  

National Nuclear Security Administration (NNSA)

John. F. O'Leary Appointed to Lead Federal Energy Administration | National Nuclear Security Administration Our Mission Managing the Stockpile Preventing Proliferation Powering the...

385

Price and Load Forecasting in Volatile Energy Markets  

Science Conference Proceedings (OSTI)

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

2001-12-05T23:59:59.000Z

386

forecasts  

U.S. Energy Information Administration (EIA)

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

387

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

Science Conference Proceedings (OSTI)

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

Tomislava Vuki?evi?

1993-06-01T23:59:59.000Z

388

Blasting Vibration Forecast Base on Neural Network  

Science Conference Proceedings (OSTI)

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

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

2010-10-01T23:59:59.000Z

389

Evaluating the Skill of Categorical Forecasts  

Science Conference Proceedings (OSTI)

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

Neil D. Gordon

1982-07-01T23:59:59.000Z

390

Making Forecasts and Weather Normalization Work Together  

Science Conference Proceedings (OSTI)

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

2000-09-11T23:59:59.000Z

391

Forecasting demand of commodities after natural disasters  

Science Conference Proceedings (OSTI)

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

Xiaoyan Xu; Yuqing Qi; Zhongsheng Hua

2010-06-01T23:59:59.000Z

392

The NCEP Climate Forecast System Version 2  

Science Conference Proceedings (OSTI)

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

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

393

Efficient forecasting for hierarchical time series  

Science Conference Proceedings (OSTI)

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

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

2013-10-01T23:59:59.000Z

394

Time series forecasting with Qubit Neural Networks  

Science Conference Proceedings (OSTI)

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

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

2007-08-01T23:59:59.000Z

395

Forecast of geothermal-drilling activity  

DOE Green Energy (OSTI)

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

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

1982-07-01T23:59:59.000Z

396

Preemptive Forecasts Using an Ensemble Kalman Filter  

Science Conference Proceedings (OSTI)

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

Brian J. Etherton

2007-10-01T23:59:59.000Z

397

A spatially distributed flash flood forecasting model  

Science Conference Proceedings (OSTI)

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

Günter Blöschl; Christian Reszler; Jürgen Komma

2008-04-01T23:59:59.000Z

398

Incentives for Retailer Forecasting: Rebates vs. Returns  

Science Conference Proceedings (OSTI)

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

Terry A. Taylor; Wenqiang Xiao

2009-10-01T23:59:59.000Z

399

SunShot Initiative: Forecasting and Influencing Technological...  

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

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

400

New Climate Research Centers Forecast Changes and Challenges...  

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

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

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

Exploiting Domain Knowledge to Forecast Heating Oil Consumption  

Science Conference Proceedings (OSTI)

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

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

2011-01-01T23:59:59.000Z

402

Building Energy Software Tools Directory: Energy Usage Forecasts  

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

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

403

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

E-Print Network (OSTI)

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

Ye, Quanzhi

2011-01-01T23:59:59.000Z

404

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

Science Conference Proceedings (OSTI)

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

United States. Bonneville Power Administration.

1994-02-01T23:59:59.000Z

405

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

Science Conference Proceedings (OSTI)

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

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

1988-06-01T23:59:59.000Z

406

Microsoft PowerPoint - John Hurley.ppt  

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

ODS Alloys in Coal-Fired Heat Exchangers - ODS Alloys in Coal-Fired Heat Exchangers - Prototypes and Testing 2010 ODS Alloy Workshop San Diego, California November 17-18, 2010 John P. Hurley Senior Research Advisor Energy & Environmental Research Center University of North Dakota © 2010 University of North Dakota Energy & Environmental Research Center EERC . . . The International Center for Applied Energy Technology  Indirectly Fired Combined Cycle (IFCC) Schematic Efficiency, 47.3% GT output, 161 MW ST Output, 150 MW Coal/Gas, 65%/35% Generator Steam Turbine Ash Slag Coal Gas Gas Turbine HITAF Radiant Air Heater Convective Air Heater Selective Noncatalytic Reactor Zone Heat Recovery Steam Generator Generator FGD Hot Air Air EERC . . . The International Center for Applied Energy Technology  Advantages of IFCC

407

SUSANA MARTfNEZ Governor JOHN A SANCHEZ Lieutenant Governor  

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

MARTfNEZ MARTfNEZ Governor JOHN A SANCHEZ Lieutenant Governor November 1,2012 NEW MEXICO ENVIRONMENT DEPARTMENT Hazardous Waste Bureau 2905 Rodeo Park Drive East, Building 1 Santa Fe, New Mexico 87505-6303 Phone (505) 476-6000 Fax (505) 476-6030 www.nmenv.state.nm.as DAVE MARTfN Secretary BUTCH TONGATE Deputy Secretary JAl\lIES H. DAVIS, Ph.D. Director Resource Protection Division RE: FINAL PERMIT DECISION AND RESPONSE TO COMMENTS, CLASS 2 MODIFICATION REQUEST -WIPP HAzARDOUS WASTE FACILITY PERMIT EPA I.D. NUMBER NM4890139088 Dear Interested Person: On November 1,2012, the New Mexico Environment Department (NMED) took final administrative action on a Class 2 pennit modification request (PMR) to the Waste Isolation Pilot Plant (WIPP) Hazardous Waste Facility Pennit by approving the PMR. The Department of

408

Nan Zhou, Nina Zheng Khanna, David Fridley and John Romankiewicz  

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

implementation implementation of energy efficiency standards and labeling programs in China: Progress and challenges Nan Zhou, Nina Zheng Khanna, David Fridley and John Romankiewicz China Energy Group Environmental Energy Technologies Division Lawrence Berkeley National Laboratory January 2013 This work was supported by the China Sustainable Energy Program of the Energy Foundation through the U.S. Department of Energy under Contract No. DE-AC02- 05CH11231. ERNEST ORLANDO LAWRENCE BERKELEY NATIONAL LABORATORY LBNL-6141E Disclaimer This document was prepared as an account of work sponsored by the United States Government. While this document is believed to contain correct information, neither the United States Government nor any agency thereof, nor The Regents of the University of California, nor any of their employees, makes any

409

The Honorable John T. 'Gregorio 301 N. Wood Avenue  

Office of Legacy Management (LM)

Eiergy ; Eiergy ; Washington, DC 20585 -, (, > - .' c ' . FEB 1 7 1995 _ .; , _-, The Honorable John T. 'Gregorio 301 N. Wood Avenue Linden, 'New Jersey 07036 d. \ Dear Mayor Gregorio: ,' ,' .' , Secretary of Energy Hazel O'Leary has announced a new approach to openness, in the'llepartment' of Energy (DDE) and its co,annunications with the .public.', In sup~port of this initiative, we are.pleased to forward.the,enclosed information reiated to the.former Linden Pilot Plant of the Chemical' Construction Company in your jurisdiction that performed work for DOE's.predecessor agencies. This information is provided for your information, use,.and reten,tion. '. , / DOE's Formerly Utilized Sites Remedial Action Program is responsible for identification of sites used by DOE's predecessor agencies, determining their

410

SUSANA MARTINEZ Governor JOHN A. SANCHEZ Lieutenant Governor  

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

MARTINEZ MARTINEZ Governor JOHN A. SANCHEZ Lieutenant Governor NEW MEXICO ENVIRONMENT DEPARTMENT Hazardous Waste Bureau 2905 Rodeo Park Drive East, Building 1 Santa Fe, New Mexico 87505·6303 Phone (505) 476-6000 Fax (505) 476-6030 www.nmenv.state.nm.us CERTIFIED MAIL - RETURN RECEIPT REQUESTED· September 23,2013 Jose R. Franco, Manager M. Farok Sharif, Project Manager Carlsbad Field Office Nuclear Waste Partnership LLC Department of Energy P. O. Box 2078 P. O. Box 3090 Carlsbad, New Mexico 88221-5608 Carlsbad, New Mexico 88221-3090 RE: FEE ASSESSMENT CLASS 1 PERMIT MODIFICATION WIPP HAZARDOUS WASTE FACILITY PERMIT EPA I.D. NUMBER NM4890139088-TSDF INVOICE HWB-WIPP-13-010 Dear Messrs. Franco and Sharif: The New Mexico Environment Department (NMED) has received the Notification of

411

FRm : John A. Deny, DitiSion Of  

Office of Legacy Management (LM)

to : lieads of Divisions am3 Man DAW.: December 6, 1954 to : lieads of Divisions am3 Man DAW.: December 6, 1954 FRm : John A. Deny, DitiSion Of SPNBOL : csm-R:AcB The attached tabulation of active AEC contracts over $l,ooO,Mx) haa been ,xepared as a result of recurring requests fcr infmmatirm cm ow larger contracts. It consists ox- Pa-t I - E+ime contracts and Pert II - Sub- ccdxacts, and lists the contracts alphabetically bq Operations Office to shar; (1) tne of work being prformed by the contractcr; (2) contract rmter; (3).ac&ated dollar obligation; (4) tspe of contract, i.e., cost m or fixed ,rlce; ad, (5) the est+ted completion date. 1. Arcbitict-Engineer (AE) 2. DnSita constnlctfon 3. Research and Dewlopnent (R&D) 4. Haterids, Supplies and EquiFment for Constructian (=---.) 5. Materials, supplies and Equippent, other @e&other)

412

SlISANA MARTINEZ Governor JOHN A. SANCHEZ Lieutenant Governor  

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

SlISANA MARTINEZ Governor JOHN A. SANCHEZ Lieutenant Governor March 13, 2013 Jose Franco, Manager Carlsbad Field Office Department of Energy P.O. Box 3090 NEW MEXICO ENVIRONMENT DEPARTMENT Resource Protection Division Harold Runnels Building 1190 Saint Francis Drive (87505) P.O. Box 5469, Santa Fe, NM 87502-5469 Phone (505) 827-0419 Fax (505) 827-0310 www.nrnenv.state.l1m.us CERTIFIED MAIL - RETURN RECEIPT REQUESTED M. Farok Sharif, Project Manager Nuclear Waste Partnership LLC P.O. Box 2078 Carlsbad, New Mexico 88221-5608 Carlsbad, New Mexico 88221-3090 RE: FINAL DETERMINATION, CLASS 2 MODIFICATION REQUEST WIPP HAZARDOUS WASTE FACILITY PERMIT EPA I.D. NUMBER NM4890139088 Dear Messrs. Franco and Sharif: DAVE MARTIN Cabinet Secretary BUTCH TONGA TE

413

SUSANA MARTiNEZ Governor JOHN A. SANCHEZ Lieutenant Governor  

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

MARTiNEZ MARTiNEZ Governor JOHN A. SANCHEZ Lieutenant Governor November 9, 2011 NEW MEXICO ENVIRONMENT DEPARTMENT Hazardous Waste Bureau 2905 Rodeo Park Drive East, Building 1 Santa Fe, New Mexico 87505-6303 Phone (505) 476-6000 Fax (505) 476-6030 www.nmenv.state.nm.us CERTIFIED MAIL - RETURN RECEIPT REQUESTED Farok Sharif DAVE MARTIN Secretary BUTCH TONGATE Deputy Secretary Edward Ziemianski, Acting Manager Carlsbad Field Office Department of Energy Washington TRU Solutions LLC P. O. Box 2078 P. O. Box 3090 Carlsbad, New Mexico 88221-5608 Carlsbad, New Mexico 88221-3090 RE: WIPP HAzARDOUS WASTE FACILITY PERMIT REVISED NOVEMBER 2, 2011 EPA I.D. NUMBER NM4890139088 Dear Messrs. Ziemianski and Sharif: On November 2,2011, the New Mexico Environment Department (NMED) revised the WIPP

414

John Day Fish Passage and Screening; 2003 Annual Report.  

DOE Green Energy (OSTI)

The primary goal of the Oregon Screens Project was to implement 20 replacement screens projects in the John Day sub-basin and any projects identified in the Umatilla and Walla Walla sub-basins. A secondary goal is to complete a passage project, if one is identified, in any of the above sub-basins. Mid-Columbia ESU listed steelhead and USF&W listed bull trout inhabit these sub-basins and are present at most locations, along with a variety of resident fish species. We also provide assistance to our Enterprise Screen Shop, in the Grande Ronde/Imnaha sub-basins, if needed. All projects were designed and implemented under current National Marine Fisheries Service screening and passage criteria.

Allen, Steve (Oregon Department of Fish and Wildlife, John Day, OR)

2004-02-01T23:59:59.000Z

415

John Day Fish Passage and Screening; 2004 Annual Report.  

DOE Green Energy (OSTI)

The primary goal of the Oregon Screens Project was to implement 20 replacement screens projects in the John Day sub-basin and any projects identified in the Umatilla and Walla Walla sub-basins. A secondary goal is to complete a passage project, if one is identified, in any of the above sub-basins. Mid-Columbia ESU listed steelhead and USF&W listed bull trout inhabit these sub-basins and are present at most locations, along with a variety of resident fish species. We also provide assistance to our Enterprise Screen Shop, in the Grande Ronde/Imnaha subbasins, if needed. All projects were designed and implemented under current National Marine Fisheries Service screening and passage criteria.

Allen, Steve (Oregon Department of Fish and Wildlife, John Day, OR)

2005-02-01T23:59:59.000Z

416

John Ambrose Fleming and the Beginning of Electronics  

SciTech Connect

2004 was the centenary of John Ambrose Fleming's momentous patent on the thermionic diode that can be called the birth of electronics. The ''Edison effect'' was discovered in 1882; this was later shown to be the result of thermionic emission of electrons from a heated filament into a vacuum. Edison did not make any significant devices based on this discovery, and the effect was ignored for more than 8 years. In 1890 Fleming explained the effect and showed that the thermionic diode could be used as a rectifier. Fourteen years later Fleming filed his 1904 patent on the thermionic diode. It was the first public announcement of the electron tube; this revolutionized the development of radio and led to the invention of the thermionic triode by Lee de Forest in 1906. The background to these events will be described.

Fred Dylla; Steve Corneliussen

2004-11-01T23:59:59.000Z

417

Earthquake Forecast via Neutrino Tomography  

E-Print Network (OSTI)

We discuss the possibility of forecasting earthquakes by means of (anti)neutrino tomography. Antineutrinos emitted from reactors are used as a probe. As the antineutrinos traverse through a region prone to earthquakes, observable variations in the matter effect on the antineutrino oscillation would provide a tomography of the vicinity of the region. In this preliminary work, we adopt a simplified model for the geometrical profile and matter density in a fault zone. We calculate the survival probability of electron antineutrinos for cases without and with an anomalous accumulation of electrons which can be considered as a clear signal of the coming earthquake, at the geological region with a fault zone, and find that the variation may reach as much as 3% for $\\bar \

Bin Wang; Ya-Zheng Chen; Xue-Qian Li

2010-01-17T23:59:59.000Z

418

Decision support for financial forecasting  

SciTech Connect

A primary mission of the Budget Management Division of the Air Force is fiscal analysis. This involves formulating, justifying, and tracking financial data during budget preparation and execution. An essential requirement of this process is the ready availability and easy manipulation of past and current budget data. This necessitates the decentralization of the data. A prototypical system, BAFS (Budget Analysis and Forecasting System), that provides such a capability is presented. In its current state, the system is designed to be a decision support tool. A brief report of the budget decisions and activities is presented. The system structure and its major components are discussed. An insight into the implementation strategies and the tool used is provided. The paper concludes with a discussion of future enhancements and the system's evolution into an expert system. 4 refs., 3 figs.

Jairam, B.N.; Morris, J.D.; Emrich, M.L.; Hardee, H.K.

1988-10-01T23:59:59.000Z

419

Construction Safety Forecast for ITER  

SciTech Connect

The International Thermonuclear Experimental Reactor (ITER) project is poised to begin its construction activity. This paper gives an estimate of construction safety as if the experiment was being built in the United States. This estimate of construction injuries and potential fatalities serves as a useful forecast of what can be expected for construction of such a major facility in any country. These data should be considered by the ITER International Team as it plans for safety during the construction phase. Based on average U.S. construction rates, ITER may expect a lost workday case rate of < 4.0 and a fatality count of 0.5 to 0.9 persons per year.

cadwallader, lee charles

2006-11-01T23:59:59.000Z

420

7 September 2004 John Learned at Pylos ANITA and ASHRAANITA and ASHRA  

E-Print Network (OSTI)

7 September 2004 John Learned at Pylos ANITA and ASHRAANITA and ASHRA New Players inNew Players ASHRA: IntroductionASHRA: Introduction ((AAllll--skysky SSurveyurvey HHighigh--RResolutionesolution AAir hemisphere 48M-pixels #12;7 September 2004 John Learned at Pylos Virgo cluster ASHRA: 1ASHRA: 1 arc minutearc

Learned, John

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421

The effect of development on nitrogen loading on St. John, U.S. Virgin Islands  

E-Print Network (OSTI)

The majority of St. John's land and coast is a National Park and is protected by the federal government. In spite of these restrictions, the population of St. John has risen in the past fifteen years as has the number of ...

Navato, Alfred Patrick

2007-01-01T23:59:59.000Z

422

Airport Electrification Strategy at the John Wayne Airport in Orange County, California  

Science Conference Proceedings (OSTI)

As a growth-oriented airport in the Los Angeles Metropolitan area, John Wayne Airport is taking a proactive approach to emission reduction in order to facilitate low environmental impact growth. This report evaluates existing electrification efforts at John Wayne Airport and explores new electrification opportunities in an effort to develop an overall strategy for minimizing emissions in the future.

2010-02-05T23:59:59.000Z

423

MSSM Forecast for the LHC  

E-Print Network (OSTI)

We perform a forecast of the MSSM with universal soft terms (CMSSM) for the LHC, based on an improved Bayesian analysis. We do not incorporate ad hoc measures of the fine-tuning to penalize unnatural possibilities: such penalization arises from the Bayesian analysis itself when the experimental value of $M_Z$ is considered. This allows to scan the whole parameter space, allowing arbitrarily large soft terms. Still the low-energy region is statistically favoured (even before including dark matter or g-2 constraints). Contrary to other studies, the results are almost unaffected by changing the upper limits taken for the soft terms. The results are also remarkable stable when using flat or logarithmic priors, a fact that arises from the larger statistical weight of the low-energy region in both cases. Then we incorporate all the important experimental constrains to the analysis, obtaining a map of the probability density of the MSSM parameter space, i.e. the forecast of the MSSM. Since not all the experimental information is equally robust, we perform separate analyses depending on the group of observables used. When only the most robust ones are used, the favoured region of the parameter space contains a significant portion outside the LHC reach. This effect gets reinforced if the Higgs mass is not close to its present experimental limit and persits when dark matter constraints are included. Only when the g-2 constraint (based on $e^+e^-$ data) is considered, the preferred region (for $\\mu>0$) is well inside the LHC scope. We also perform a Bayesian comparison of the positive- and negative-$\\mu$ possibilities.

Maria Eugenia Cabrera; Alberto Casas; Roberto Ruiz de Austri

2009-11-24T23:59:59.000Z

424

Forecasting future volatility from option prices, Working  

E-Print Network (OSTI)

Weisbach are gratefully acknowledged. I bear full responsibility for all remaining errors. Forecasting Future Volatility from Option Prices Evidence exists that option prices produce biased forecasts of future volatility across a wide variety of options markets. This paper presents two main results. First, approximately half of the forecasting bias in the S&P 500 index (SPX) options market is eliminated by constructing measures of realized volatility from five minute observations on SPX futures rather than from daily closing SPX levels. Second, much of the remaining forecasting bias is eliminated by employing an option pricing model that permits a non-zero market price of volatility risk. It is widely believed that option prices provide the best forecasts of the future volatility of the assets which underlie them. One reason for this belief is that option prices have the ability to impound all publicly available information – including all information contained in the history of past prices – about the future volatility of the underlying assets. A second related reason is that option pricing theory maintains that if an option prices fails to embody optimal forecasts of the future volatility of the underlying asset, a profitable trading strategy should be available whose implementation would push the option price to the level that reflects the best possible forecast of future volatility.

Allen M. Poteshman

2000-01-01T23:59:59.000Z

425

TODAY: Secretary Chu and Former Senator John Warner to Host Conference Call  

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

Chu and Former Senator John Warner to Host Chu and Former Senator John Warner to Host Conference Call on Lighting Efficiency Standards TODAY: Secretary Chu and Former Senator John Warner to Host Conference Call on Lighting Efficiency Standards July 8, 2011 - 12:00am Addthis Washington, D.C. - Today, U.S. Energy Secretary Steven Chu will join former Virginia Senator John Warner on a conference call to discuss the commonsense, bipartisan energy saving standards for residential lighting that were included in the 2007 energy bill and how these standards will help U.S. households save money. WHO: Secretary of Energy Steven Chu Former Virginia Senator John Warner WHAT: Press Conference Call WHEN: Friday, July 8, 2011 at 12:45 PM EDT RSVP: Please contact Niketa Kumar at niketa.kumar@hq.doe.gov to receive call-in information.

426

Dr John C Miller | U.S. DOE Office of Science (SC)  

Office of Science (SC) Website

John C Miller John C Miller Chemical Sciences, Geosciences, & Biosciences (CSGB) Division CSGB Home About Staff Listings/Contact Information What's New Research Areas Scientific Highlights Reports & Activities Principal Investigators' Meetings BES Home Staff Listings/Contact Information Dr. John C Miller Print Text Size: A A A RSS Feeds FeedbackShare Page Dr. John C. Miller (fuzzy state) Team Lead Chemical Transformations Office of Basic Energy Sciences SC-22.1/Germantown Building U.S. Department of Energy 1000 Independence Avenue, SW Washington, D.C. 20585-1290 E-Mail:John.Miller@science.doe.gov Phone: (301) 903-5806 Fax: (301) 903-0271 Dr. Miller is team leader for the Chemical Transformations team. Prior to joining DOE in 2002, he was a researcher and manager at Oak Ridge National

427

WBH-12-0002 - In the Matter of John Robertson | Department of Energy  

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

WBH-12-0002 - In the Matter of John Robertson » WBH-12-0002 - In WBH-12-0002 - In the Matter of John Robertson » WBH-12-0002 - In the Matter of John Robertson WBH-12-0002 - In the Matter of John Robertson On January 8, 2013, a Hearing Officer issued an Initial Agency Decision involving a complaint filed by John Robertson against KQ Services (KQ) under the DOE's Contractor Employee Protection Program and its governing regulations set forth at 10 C.F.R. Part 708. In his complaint, Mr. Robertson alleged the he was terminated in retaliation for activity protected under Part 708. The complainant alleged that he made two disclosures pertaining to the condition of a lift gate on a KQ truck, and a third disclosure, reporting that a filing cabinet had fallen off the same lift gate. The Hearing Officer found, with regard to the first alleged

428

John Herrington Sworn in as Secretary of Energy | National Nuclear Security  

National Nuclear Security Administration (NNSA)

John Herrington Sworn in as Secretary of Energy | National Nuclear Security John Herrington Sworn in as Secretary of Energy | National Nuclear Security Administration Our Mission Managing the Stockpile Preventing Proliferation Powering the Nuclear Navy Emergency Response Recapitalizing Our Infrastructure Continuing Management Reform Countering Nuclear Terrorism About Us Our Programs Our History Who We Are Our Leadership Our Locations Budget Our Operations Media Room Congressional Testimony Fact Sheets Newsletters Press Releases Speeches Events Social Media Video Gallery Photo Gallery NNSA Archive Federal Employment Apply for Our Jobs Our Jobs Working at NNSA Blog Home > About Us > Our History > NNSA Timeline > John Herrington Sworn in as Secretary of Energy John Herrington Sworn in as Secretary of Energy February 07, 1985 Washington, DC John Herrington Sworn in as Secretary of Energy

429

1993 Solid Waste Reference Forecast Summary  

SciTech Connect

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

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

1993-08-01T23:59:59.000Z

430

Forecast Bias Correction: A Second Order Method  

E-Print Network (OSTI)

The difference between a model forecast and actual observations is called forecast bias. This bias is due to either incomplete model assumptions and/or poorly known parameter values and initial/boundary conditions. In this paper we discuss a method for estimating corrections to parameters and initial conditions that would account for the forecast bias. A set of simple experiments with the logistic ordinary differential equation is performed using an iterative version of a first order version of our method to compare with the second order version of the method.

Crowell, Sean

2010-01-01T23:59:59.000Z

431

Industrial production index forecast: Methods comparison  

Science Conference Proceedings (OSTI)

The purpose of this work is to investigate the suitability of different methods as short term forecast tools. It is studied and compared the application of the Kalman filter method with other forecasting methods when applied to a set of qualitative and quantitative information. The work data set is made of qualitative surveys of conjunture and the industrial production index (IPI). The objective is the attainment of short term forecast models for the Portuguese IPI of the transforming industry. After the previous treatment of the data

M. Filomena Teodoro

2012-01-01T23:59:59.000Z

432

Customization and Marketing of Monsoon Forecasts A CSIRCMMACS Synergy  

E-Print Network (OSTI)

Customization and Marketing of Monsoon Forecasts A CSIRCMMACS Synergy Criteria for Technical forecasts of monsoon can significantly aid many sectors like agriculture, power and production industries to the operational forecast, to develop and deliver customized monsoon forecasts based on user need is required

Swathi, P S

433

Short-term streamflow forecasting: ARIMA vs neural networks  

Science Conference Proceedings (OSTI)

Streamflow forecasting is very important for water resources management and flood defence. In this paper two forecasting methods are compared: ARIMA versus a multilayer perceptron neural network. This comparison is done by forecasting a streamflow of ... Keywords: artificial neural networks, auto regressive integrated moving average, forecasting, streamflow

Juan Frausto-Solis; Esmeralda Pita; Javier Lagunas

2008-03-01T23:59:59.000Z

434

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

DOE Green Energy (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

435

Optimal Updating of Forecasts for the Timing of Future Events  

Science Conference Proceedings (OSTI)

A major problem in forecasting is estimating the time of some future event. traditionally, forecasts are designed to minimize an error cost function that is evaluated once, possibly when the event occurs and forecast accuracy can be determined. However, ... Keywords: Air Transportation, Dynamic Programming Applications, Forecasting

Juhwen Hwang; Medini R. Singh; W. J. Hurley; Robert A. Shumsky

1998-03-01T23:59:59.000Z

436

CALIFORNIA ENERGY DEMAND 2008-2018 STAFF REVISED FORECAST  

E-Print Network (OSTI)

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

437

R/ECON December 1999 Forecast RUTGERS ECONOMIC ADVISORY SERVICE  

E-Print Network (OSTI)

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

438

R/ECON July 2001 Forecast RUTGERS ECONOMIC ADVISORY SERVICE  

E-Print Network (OSTI)

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

439

R/ECON April 2001 Forecast RUTGERS ECONOMIC ADVISORY SERVICE  

E-Print Network (OSTI)

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

440

R/ECON October 1999 Forecast RUTGERS ECONOMIC ADVISORY SERVICE  

E-Print Network (OSTI)

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

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

Does increasing model stratospheric resolution improve extended range forecast skill?  

E-Print Network (OSTI)

Does increasing model stratospheric resolution improve extended range forecast skill? Greg Roff,1 forecast skill at high Southern latitudes is explored. Ensemble forecasts are made for two model configurations that differ only in vertical resolution above 100 hPa. An ensemble of twelve 30day forecasts

442

PRELIMINARY CALIFORNIA ENERGY DEMAND FORECAST 2012-2022  

E-Print Network (OSTI)

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

443

R/ECON December 1998 Forecast RUTGERS ECONOMIC ADVISORY SERVICE  

E-Print Network (OSTI)

R/ECON December 1998 Forecast RUTGERS ECONOMIC ADVISORY SERVICE FORECAST OF DECEMBER 1998 NEW 1997 will continue-- though at a reduced rate--through the forecast period that ends in 2001. New inflation of about 1.5%. In 1998, R/ECONTM forecasts that employment will rise by 76,000 jobs, or 2

444

R/ECON October 2000 Forecast RUTGERS ECONOMIC ADVISORY SERVICE  

E-Print Network (OSTI)

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

445

R/ECON April 1999 Forecast RUTGERS ECONOMIC ADVISORY SERVICE  

E-Print Network (OSTI)

R/ECON April 1999 Forecast RUTGERS ECONOMIC ADVISORY SERVICE FORECAST OF APRIL 1999 NEW JERSEY forecast for New Jersey is for a continuation of the current expansion but at a somewhat slower pace in employment through the forecast period will be in services and trade. We also expect considerable growth

446

R/ECON July 1999 Forecast RUTGERS ECONOMIC ADVISORY SERVICE  

E-Print Network (OSTI)

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

447

R/ECON April 2000 Forecast RUTGERS ECONOMIC ADVISORY SERVICE  

E-Print Network (OSTI)

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

448

Atmospheric Lagrangian coherent structures considering unresolved turbulence and forecast uncertainty  

E-Print Network (OSTI)

Atmospheric Lagrangian coherent structures considering unresolved turbulence and forecast, the uncertainty of the forecast FTLE fields is analyzed using ensemble forecasting. Unavoidable errors of the forecast velocity data due to the chaotic dynamics of the atmosphere is the salient reason for errors

Ross, Shane

449

A New Measure of Earnings Forecast Uncertainty Xuguang Sheng  

E-Print Network (OSTI)

A New Measure of Earnings Forecast Uncertainty Xuguang Sheng American University Washington, D of earnings forecast uncertainty as the sum of dispersion among analysts and the variance of mean forecast available to analysts at the time they make their forecasts. Hence, it alleviates some of the limitations

Kim, Kiho

450

AN ANALYSIS OF FORECAST BASED REORDER POINT POLICIES : THE BENEFIT  

E-Print Network (OSTI)

AN ANALYSIS OF FORECAST BASED REORDER POINT POLICIES : THE BENEFIT OF USING FORECASTS Mohamed Zied Ch^atenay-Malabry Cedex, France Abstract: In this paper, we analyze forecast based inventory control policies for a non-stationary demand. We assume that forecasts and the associated uncertainties are given

Paris-Sud XI, Université de

451

Time dependent Directional Profit Model for Financial Time Series Forecasting  

E-Print Network (OSTI)

Time dependent Directional Profit Model for Financial Time Series Forecasting Jingtao YAO Chew Lim@comp.nus.edu.sg Abstract Goodness­of­fit is the most popular criterion for neural network time series forecasting. In the context of financial time series forecasting, we are not only concerned at how good the forecasts fit

Yao, JingTao

452

A Study on Training Criteria for Financial Time Series Forecasting  

E-Print Network (OSTI)

A Study on Training Criteria for Financial Time Series Forecasting JingTao YAO Dept of Information on goodness-of-fit which is also the most popular criterion forecasting. How ever, in the context of financial time series forecasting, we are not only concerned at how good the forecasts fit their target. In order

Yao, JingTao

453

A new class of hybrid models for time series forecasting  

Science Conference Proceedings (OSTI)

Applying quantitative models for forecasting and assisting investment decision making has become more indispensable in business practices than ever before. Improving forecasting especially time series forecasting accuracy is an important yet often difficult ... Keywords: Artificial neural networks (ANNs), Auto-Regressive Integrated Moving Average (ARIMA), Hybrid models, Probabilistic neural networks (PNNs), Time series forecasting

Mehdi Khashei; Mehdi Bijari

2012-03-01T23:59:59.000Z

454

Update On The Wholesale Electricity Price Forecast & Modeling Results  

E-Print Network (OSTI)

Forecast Base Case includes § Medium Demand Forecast § Medium Natural Gas Price Forecast § Federal CO2 Rathdrum Power LLC-ID 4) CO2 Emissions - 2009 Selected Natural Gas Plants Plant level, emission percentage § Significantly lower electricity prices than 6th Plan Forecast, due to lower demand, lower gas prices, deferred

455

RESERVOIR INFLOW FORECASTING USING NEURAL NETWORKS CHANDRASHEKAR SUBRAMANIAN  

E-Print Network (OSTI)

or over predicting electricity demand due to poor weather forecasts is several hundred million dollars outages that many in the area experienced. Deep Thunder can also improve generation-side load forecasting by providing high-resolution weather forecast data for use in electricity demand forecast models. Integrating

Manry, Michael

456

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

SciTech Connect

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

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

2011-10-01T23:59:59.000Z

457

New results in forecasting of photovoltaic systems output based on solar radiation forecasting  

Science Conference Proceedings (OSTI)

Accurate short term forecasting of photovoltaic (PV) systems output has a great significance for fast development of PV parks in South-East Europe

Laurentiu Fara

2013-01-01T23:59:59.000Z

458

SolarAnywhere forecast (Perez & Hoff) This chapter describes, and presents an evaluation of, the forecast models imbedded in the  

E-Print Network (OSTI)

SolarAnywhere forecast (Perez & Hoff) ABSTRACT This chapter describes, and presents an evaluation of, the forecast models imbedded in the SolarAnywhere platform. The models include satellite derived cloud motion based forecasts for the short to medium horizon (1 5 hours) and forecasts derived from NOAA

Perez, Richard R.

459

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

Science Conference Proceedings (OSTI)

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

Clark Evans; Donald F. Van Dyke; Todd Lericos

460

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

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

Artificial Skill and Validation in Meteorological Forecasting  

Science Conference Proceedings (OSTI)

The results of a simulation study of multiple regression prediction models for meteorological forecasting are reported. The effects of sample size, amount, and severity of nonrepresentative data in the population, inclusion of noninformative ...

Paul W. Mielke Jr.; Kenneth J. Berry; Christopher W. Landsea; William M. Gray

1996-06-01T23:59:59.000Z

462

Skill of Multimodel ENSO Probability Forecasts  

Science Conference Proceedings (OSTI)

The cross-validated hindcast skills of various multimodel ensemble combination strategies are compared for probabilistic predictions of monthly SST anomalies in the ENSO-related Niño-3.4 region of the tropical Pacific Ocean. Forecast data from ...

Michael K. Tippett; Anthony G. Barnston

2008-10-01T23:59:59.000Z

463

Assessing Forecast Skill through Cross Validation  

Science Conference Proceedings (OSTI)

This study explains the method of cross validation for assessing forecast skill of empirical prediction models. Cross validation provides a relatively accurate measure of an empirical procedure's ability to produce a useful prediction rule from a ...

J. B. Elsner; C. P. Schmertmann

1994-12-01T23:59:59.000Z

464

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

465

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

466

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

467

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

468

Dynamical Properties of Model Output Statistics Forecasts  

Science Conference Proceedings (OSTI)

The dynamical properties of forecasts corrected using model output statistics (MOS) schemes are explored, with emphasis on the respective role of model and initial condition uncertainties. Analytical and numerical investigations of low-order ...

S. Vannitsem; C. Nicolis

2008-02-01T23:59:59.000Z

469

Scientific Verification of Deterministic River Stage Forecasts  

Science Conference Proceedings (OSTI)

One element of a complete verification system is the ability to determine why forecasts behave as they do. This paper describes and demonstrates an operationally feasible method for conducting this type of diagnostic verification analysis. ...

Edwin Welles; Soroosh Sorooshian

2009-04-01T23:59:59.000Z

470

River flow forecasting with constructive neural network  

Science Conference Proceedings (OSTI)

In utilities using a mixture of hydroelectric and non-hydroelectric power, the economics of the hydroelectric plants depend upon the reservoir height and the inflow into the reservoir for several months into the future. Accurate forecasts of reservoir ...

Mêuser Valença; Teresa Ludermir; Anelle Valença

2005-12-01T23:59:59.000Z

471

Forecast verification: Its Complexity and Dimensionality  

Science Conference Proceedings (OSTI)

Two fundamental characteristics of forecast verification problems—complexity and dimensionality—are described. To develop quantitative definitions of these characteristics, a general framework for the problem of absolute verification (AV) is ...

Allan H. Murphy

1991-07-01T23:59:59.000Z

472

Consensus Forecasts of Modeled Wave Parameters  

Science Conference Proceedings (OSTI)

The use of numerical guidance has become integral to the process of modern weather forecasting. Using various techniques, postprocessing of numerical model output has been shown to mitigate some of the deficiencies of these models, producing more ...

Tom H. Durrant; Frank Woodcock; Diana J. M. Greenslade

2009-04-01T23:59:59.000Z

473

Spread Calibration of Ensemble MOS Forecasts  

Science Conference Proceedings (OSTI)

Ensemble forecasting systems often contain systematic biases and spread deficiencies that can be corrected by statistical postprocessing. This study presents an improvement to an ensemble statistical postprocessing technique, called ensemble ...

Bruce A. Veenhuis

2013-07-01T23:59:59.000Z

474

Snowfall Limit Forecasts and Hydrological Modeling  

Science Conference Proceedings (OSTI)

Hydrological flood forecasting in mountainous areas requires accurate partitioning between rain and snowfall to properly estimate the extent of runoff contributing areas. Here a method to make use of snowfall limit information—a standard output of ...

Cara Tobin; Andrea Rinaldo; Bettina Schaefli

2012-10-01T23:59:59.000Z

475

Ensemble Forecast of a Typhoon Flood Event  

Science Conference Proceedings (OSTI)

A high-resolution nested regional spectral model and an ensemble prediction system are combined to forecast the track, intensity, and flooding precipitation arising from Typhoon Winnie of August 1997, which eventually reached supertyphoon status. ...

Brian P. Mackey; T. N. Krishnamurti

2001-08-01T23:59:59.000Z

476

Potential Economic Value of Seasonal Hurricane Forecasts  

Science Conference Proceedings (OSTI)

This paper explores the potential utility of seasonal Atlantic hurricane forecasts to a hypothetical property insurance firm whose insured properties are broadly distributed along the U.S. Gulf and East Coasts. Using a recently developed hurricane ...

Kerry Emanuel; Fabian Fondriest; James Kossin

2012-04-01T23:59:59.000Z

477

Airborne Volcanic Ash Forecast Area Reliability  

Science Conference Proceedings (OSTI)

In support of aircraft flight safety operations, daily comparisons between modeled, hypothetical, volcanic ash plumes calculated with meteorological forecasts and analyses were made over a 1.5-yr period. The Hybrid Single-Particle Lagrangian ...

Barbara J. B. Stunder; Jerome L. Heffter; Roland R. Draxler

2007-10-01T23:59:59.000Z

478

The ENIAC Forecasts: A Re-creation  

Science Conference Proceedings (OSTI)

The numerical forecasts made in 1950 using the Electronic Numerical Integrator and Computer (ENIAC) paved the way for the remarkable advances that have been made over the past half-century in weather prediction and climate modeling. We review the ...

Peter Lynch

2008-01-01T23:59:59.000Z

479

NCEP Dynamical Seasonal Forecast System 2000  

Science Conference Proceedings (OSTI)

The new National Centers for Environmental Prediction (NCEP) numerical seasonal forecast system is described in detail. The new system is aimed at a next-generation numerical seasonal prediction in which focus is placed on land processes, initial ...

Masao Kanamitsu; Arun Kumar; Hann-Ming Henry Juang; Jae-Kyung Schemm; Wanqui Wang; Fanglin Yang; Song-You Hong; Peitao Peng; Wilber Chen; Shrinivas Moorthi; Ming Ji

2002-07-01T23:59:59.000Z

480

Computer Generation of Marine Weather Forecast Text  

Science Conference Proceedings (OSTI)

MARWORDS is a natural language text generation system which has been developed to synthesize marine forecasts for the Davis Strait area in Northern Canada. It uses standard manually produced predictions of wind speed, air temperature, and other ...

E. Goldberg; R. Kittredge; A. Polguère

1988-08-01T23:59:59.000Z

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481

Forecast U.S. Distillate Stocks  

Gasoline and Diesel Fuel Update (EIA)

EIA is not projecting a large recovery over the summer, but because refineries are forecast to run at high utilization rates, they may produce more distillate than expected and...

482

EIA lowers forecast for summer gasoline prices  

Annual Energy Outlook 2012 (EIA)

EIA lowers forecast for summer gasoline prices U.S. gasoline prices are expected to be lower this summer than previously thought. The price for regular gasoline this summer is now...

483

Visualizing Multiple Measures of Forecast Quality  

Science Conference Proceedings (OSTI)

A method for visually representing multiple measures of dichotomous (yes–no) forecast quality (probability of detection, false alarm ratio, bias, and critical success index) in a single diagram is presented. Illustration of the method is provided ...

Paul J. Roebber

2009-04-01T23:59:59.000Z

484

Using Climate Forecasts for Drought Management  

Science Conference Proceedings (OSTI)

Drought hazards, and the ability to mitigate them with advance warning, offer potentially valuable applications of climate forecast products. Yet the value is often untapped, owing to the gap between climate science and societal decisions. This ...

Anne C. Steinemann

2006-10-01T23:59:59.000Z

485

Assessing the Usefulness of Probabilistic Forecasts  

Science Conference Proceedings (OSTI)

The errors in both the initialization and simulated evolution of weather and climate models create significant uncertainties in forecasts at lead times beyond a few days. Modern prediction systems sample the sources of these uncertainties to ...

Stephen Cusack; Alberto Arribas

2008-04-01T23:59:59.000Z

486

An Objective Basis for Forecasting Tornado Intensity  

Science Conference Proceedings (OSTI)

Although violent tornadoes comprise only 2.3% of tornado occurrences in the United States, they cause 68% of the fatalities attributed to tornadoes and severe thunderstorms. Despite these statistics, no attempt is made to forecast or warn of ...

J. R. Colquhoun; D. J. Shepherd

1989-03-01T23:59:59.000Z

487

Hypothesis Tests for Evaluating Numerical Precipitation Forecasts  

Science Conference Proceedings (OSTI)

When evaluating differences between competing precipitation forecasts, formal hypothesis testing is rarely performed. This may be due to the difficulty in applying common tests given the spatial correlation of and non-normality of errors. ...

Thomas M. Hamill

1999-04-01T23:59:59.000Z

488

MM5 Contrail Forecasting in Alaska  

Science Conference Proceedings (OSTI)

The fifth-generation Pennsylvania State University–National Center for Atmospheric Research (PSU–NCAR) Mesoscale Model (MM5) is being used for forecasting the atmospheric layers of aircraft condensation trail (contrail) formation. Contrail ...

Martin Stuefer; Xiande Meng; Gerd Wendler

2005-12-01T23:59:59.000Z

489

Medium- and Long-Range Forecasting  

Science Conference Proceedings (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

490

Dynamic Algorithm for Space Weather Forecasting System  

E-Print Network (OSTI)

We propose to develop a dynamic algorithm that intelligently analyzes existing solar weather data and constructs an increasingly more accurate equation/algorithm for predicting solar weather accurately in real time. This dynamic algorithm analyzes a wealth of data derived from scientific research and provides increasingly accurate solar forecasts. As the database of information grows over time, this algorithm perfects itself and reduces forecast uncertainties. This will provide a vastly more effective way of processing existing data for practical use in the public and private sectors. Specifically, we created an algorithm that stores data from several sources in a way that is useable, we created the ?dynamic algorithm? used for creating accurate/effective forecasts, and we have performed preliminary benchmarks on this algorithm. The preliminary benchmarks yield surprisingly effective results thus far?forecasts have been made 8-16 hours into the future with significant magnitude and trend accuracy, which is a vast improvement over current methods employed.

Fischer, Luke D.

2010-05-01T23:59:59.000Z

491

Forecasting Resource Supply from Scarcity Rent Data  

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

Forecasting Resource Supply from Scarcity Rent Data Speaker(s): Larry Dale Date: December 18, 2000 - 12:00pm Location: 90-3122 Seminar HostPoint of Contact: Diana Morris This talk...

492

Flood Forecasting in River System Using ANFIS  

Science Conference Proceedings (OSTI)

The aim of the present study is to investigate applicability of artificial intelligence techniques such as ANFIS (Adaptive Neuro-Fuzzy Inference System) in forecasting flood flow in a river system. The proposed technique combines the learning ability of neural network with the transparent linguistic representation of fuzzy system. The technique is applied to forecast discharge at a downstream station using flow information at various upstream stations. A total of three years data has been selected for the implementation of this model. ANFIS models with various input structures and membership functions are constructed, trained and tested to evaluate efficiency of the models. Statistical indices such as Root Mean Square Error (RMSE), Correlation Coefficient (CORR) and Coefficient of Efficiency (CE) are used to evaluate performance of the ANFIS models in forecasting river flood. The values of the indices show that ANFIS model can accurately and reliably be used to forecast flood in a river system.

Ullah, Nazrin; Choudhury, P. [Dept. of Civil Eng., NIT, Silchar (India)

2010-10-26T23:59:59.000Z

493

Updated Satellite Technique to Forecast Heavy Snow  

Science Conference Proceedings (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

494

Optimization of Value of Aerodrome Forecasts  

Science Conference Proceedings (OSTI)

Prediction of short-term variations of vital boundary layer conditions at airports, such as visibility and cloud base, is important to the safe and economic operation of airlines. Results of an experiment involving groups of forecasters at three ...

Ross Keith

2003-10-01T23:59:59.000Z

495

Severe Thunderstorm Forecasting: A Historical Perspective  

Science Conference Proceedings (OSTI)

Techniques that have evolved during the hundred years that scientific severe thunderstorm forecasts have been prepared are reviewed. The early empirical rules developed by Finley, Showalter and Fulks, Fawbush, Miller and Starrett, and others have ...

Joseph T. Schaefer

1986-12-01T23:59:59.000Z

496

Ceiling and Visibility Forecasts via Neural Networks  

Science Conference Proceedings (OSTI)

Statistical postprocessing of numerical model output can improve forecast quality, especially when model output is combined with surface observations. In this article, the development of nonlinear postprocessors for the prediction of ceiling and ...

Caren Marzban; Stephen Leyton; Brad Colman

2007-06-01T23:59:59.000Z

497

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.

498

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 operation in terms of the efficiency of the system. The goal of this dissertation is to develop advanced statistical wind speed predictive models to reduce the uncertainties in wind, especially the short-term future wind speed. Moreover, a criterion is proposed to evaluate the performance of models. Cost reduction in power system operation, as proposed, is more realistic than prevalent criteria, such as, root mean square error (RMSE) and absolute mean error (MAE). Two advanced space-time statistical models are introduced for short-term wind speed forecasting. One is a modified regime-switching, space-time wind speed fore- casting model, which allows the forecast regimes to vary according to the dominant wind direction and seasons. Thus, it avoids a subjective choice of regimes. The other one is a novel model that incorporates a new variable, geostrophic wind, which has strong influence on the surface wind, into one of the advanced space-time statistical forecasting models. This model is motivated by the lack of improvement in forecast accuracy when using air pressure and temperature directly. Using geostrophic wind in the model is not only critical, it also has a meaningful geophysical interpretation. The importance of model evaluation is emphasized in the dissertation as well. Rather than using RMSE or MAE, the performance of both wind forecasting models mentioned above are assessed by economic benefits with real wind farm data from Pacific Northwest of the U.S and West Texas. Wind forecasts are incorporated into power system economic dispatch models, and the power system operation cost is used as a loss measure for the performance of the forecasting models. From another perspective, the new criterion leads to cost-effective scheduling of system-wide wind generation with potential economic benefits arising from the system-wide generation of cost savings and ancillary services cost savings. As an illustration, the integrated forecasts and economic dispatch framework are applied to the Electric Reliability Council of Texas (ERCOT) equivalent 24- bus system. Compared with persistence and autoregressive models, the first model suggests that cost savings from integration of wind power could be on the scale of tens of millions of dollars. For the second model, numerical simulations suggest that the overall generation cost can be reduced by up to 6.6% using look-ahead dispatch coupled with spatio-temporal wind forecast as compared with dispatch with persistent wind forecast model.

Zhu, Xinxin

2013-08-01T23:59:59.000Z

499

Wind Energy Forecasting Technology Update: 2004  

Science Conference Proceedings (OSTI)

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

2005-04-26T23:59:59.000Z

500

Forecasting the demand for commercial telecommunications satellites  

Science Conference Proceedings (OSTI)

This paper summarizes the key elements of a forecast methodology for predicting demand for commercial satellite services and the resulting demand for satellite hardware and launches. The paper discusses the characterization of satellite services into more than a dozen applications (including emerging satellite Internet applications) used by Futron Corporation in its forecasts. The paper discusses the relationship between demand for satellite services and demand for satellite hardware

Carissa Bryce Christensen; Carie A. Mullins; Linda A. Williams

2001-01-01T23:59:59.000Z