Sample records for technology forecast updates

  1. Technology Forecasting Scenario Development

    E-Print Network [OSTI]

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

  2. Facebook IPO updated valuation and user forecasting

    E-Print Network [OSTI]

    Facebook IPO ­ updated valuation and user forecasting Based on: Amendment No. 6 to Form S-1 (May 9. Peter Cauwels and Didier Sornette, Quis pendit ipsa pretia: facebook valuation and diagnostic Extreme Growth JPMPaper Cauwels and Sornette 840 1110 1820 S1- filing- May 9 2012 1006 1105 1371 Facebook

  3. Navy Technology Evaluation Update

    Broader source: Energy.gov [DOE]

    Presentation covers the Navy Technology Evaluation update at the Federal Utility Partnership Working Group (FUPWG) meeting, held on November 18-19, 2009.

  4. Electric Turbo Compounding Technology Update

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

    Turbo Compounding Technology Update Electric Turbo Compounding Technology Update 15 August, 2007 Carl Vuk 15 August, 2007 Carl Vuk Electric Turbo Compounding Highlights Electric...

  5. CSUF ECONOMIC OUTLOOK AND FORECASTS MIDYEAR UPDATE -APRIL 2014

    E-Print Network [OSTI]

    de Lijser, Peter

    CSUF ECONOMIC OUTLOOK AND FORECASTS MIDYEAR UPDATE - APRIL 2014 Anil Puri, Ph.D. -- Director-year increase in the debt ceiling -- both of which proceeded without the usual drama. Second, the private sector, corporate coffers are flush with cash, and low US energy prices have dramatically improved the global

  6. PAVEMENT TECHNOLOGY UPDATE This Technology Transfer Program

    E-Print Network [OSTI]

    California at Berkeley, University of

    PAVEMENT TECHNOLOGY UPDATE This Technology Transfer Program publication is funded by the Division by the University of California Pavement Research Center. The University of California Pavement Research Center Using innovative research and sound engineering principles to improve pavement structures, materials

  7. Generation IV International Forum Updates Technology Roadmap...

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

    Updates Technology Roadmap and Builds Future Collaboration Generation IV International Forum Updates Technology Roadmap and Builds Future Collaboration December 31, 2013 - 12:14pm...

  8. Retail Lighting: Title 24 & Technology Update

    E-Print Network [OSTI]

    California at Davis, University of

    Retail Lighting: Title 24 & Technology Update Kelly Cunningham Outreach Director kcunning@ucdavis.edu California Lighting Technology Center, UC Davis RESEARCH . INNOVATION . PARTNERSHIP Supporting compliance Lighting: Title 24 and Technology Update C00005 Kelly Cunningham April 24,2014 #12;Credit(s) earned

  9. Office Lighting: Title 24 & Technology Update

    E-Print Network [OSTI]

    California at Davis, University of

    /20/2014 BACKGROUND AND POLICYSLIDE 6 California Energy Consumption Database, http://ecdms.energy.ca.gov, updatedOffice Lighting: Title 24 & Technology Update Kelly Cunningham Outreach Director kcunning@ucdavis.edu California Lighting Technology Center, UC Davis RESEARCH . INNOVATION . PARTNERSHIP Supporting compliance

  10. Hydrogen and Fuel Cell Technologies Update: 2010 Fuel Cell Seminar...

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

    Hydrogen and Fuel Cell Technologies Update: 2010 Fuel Cell Seminar and Exposition Hydrogen and Fuel Cell Technologies Update: 2010 Fuel Cell Seminar and Exposition Presentation by...

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

    SciTech Connect (OSTI)

    Lantz, E.; Hand, M.

    2010-05-01T23:59:59.000Z

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

  12. Residential Lighting: Title 24 and Technology Update

    E-Print Network [OSTI]

    California at Davis, University of

    Residential Lighting: Title 24 and Technology Update Best practices in lighting design to comply with California's Title 24 energy code Kelly Cunningham, Outreach Director California Lighting Technology Center AS AN IMPLIED ENDORSEMENT. #12;INTRODUCTION California Lighting Technology Center, UC Davis To accelerate

  13. Clean Coal Technology Programs: Program Update 2009

    SciTech Connect (OSTI)

    None

    2009-10-01T23:59:59.000Z

    The purpose of the Clean Coal Technology Programs: Program Update 2009 is to provide an updated status of the U.S. Department of Energy (DOE) commercial-scale demonstrations of clean coal technologies (CCT). These demonstrations have been performed under the Clean Coal Technology Demonstration Program (CCTDP), the Power Plant Improvement Initiative (PPII), and the Clean Coal Power Initiative (CCPI). Program Update 2009 provides: (1) a discussion of the role of clean coal technology demonstrations in improving the nation’s energy security and reliability, while protecting the environment using the nation’s most abundant energy resource—coal; (2) a summary of the funding and costs of the demonstrations; and (3) an overview of the technologies being demonstrated, along with fact sheets for projects that are active, recently completed, or recently discontinued.

  14. Clean coal technology programs: program update 2006

    SciTech Connect (OSTI)

    NONE

    2006-09-15T23:59:59.000Z

    The purpose of the Clean Coal Technology Programs: Program Update 2006 is to provide an updated status of the DOE commercial-scale demonstrations of clean coal technologies (CCTs). These demonstrations are performed under the Clean Coal Technology Demonstration Program (CCTDP), the Power Plant Improvement Initiative (PPII) and the Clean Coal Power Initiative (CCPI). Program Update 2006 provides 1) a discussion of the role of clean coal technology demonstrations in improving the nation's energy security and reliability, while protecting the environment using the nation's most abundant energy resource - coal; 2) a summary of the funding and costs of the demonstrations; and 3) an overview of the technologies being demonstrated, with fact sheets for demonstration projects that are active, recently completed, withdrawn or ended, including status as of June 30 2006. 4 apps.

  15. Hydrogen and Fuel Cell Technologies Update: 2010 Fuel Cell Seminar...

    Energy Savers [EERE]

    Update: 2010 Fuel Cell Seminar and Exposition Hydrogen and Fuel Cell Technologies Update: 2010 Fuel Cell Seminar and Exposition Presentation by Sunita Satyapal at the 2010 Fuel...

  16. Continuous Model Updating and Forecasting for a Naturally Fractured Reservoir

    E-Print Network [OSTI]

    Almohammadi, Hisham

    2013-07-26T23:59:59.000Z

    . Such capabilities allow for a paradigm change in which reservoir management can be looked at as a strategy that enables a semi-continuous process of model updates and decision optimizations instead of being periodic or reactive. This is referred to as closed...

  17. Project Profile: Forecasting and Influencing Technological Progress...

    Energy Savers [EERE]

    A diagram that symbolizes the interconnected nature of technological improvement in photovoltaic development. Within the last decade, digitized records have become widely...

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

    E-Print Network [OSTI]

    Boyer, Edmond

    the fluctuating output from wind farms into power plant dispatching and energy trading, wind power predictionsEWEC 2006, Athens, The Anemos Wind Power Forecasting Platform Technology 1 The Anemos Wind Power a professional, flexible platform for operating wind power prediction models, laying the main focus on state

  19. Update on Diesel Exhaust Emission Control Technology and Regulations...

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

    Control Technology and Regulations Update on Diesel Exhaust Emission Control Technology and Regulations 2004 Diesel Engine Emissions Reduction (DEER) Conference Presentation:...

  20. THE IDAHO NATIONAL LABORATORY BERYLLIUM TECHNOLOGY UPDATE

    SciTech Connect (OSTI)

    Glen R. Longhurst

    2007-12-01T23:59:59.000Z

    A Beryllium Technology Update meeting was held at the Idaho National Laboratory on July 18, 2007. Participants came from the U.S., Japan, and Russia. There were two main objectives of this meeting. One was a discussion of current technologies for beryllium in fission reactors, particularly the Advanced Test Reactor and the Japan Materials Test Reactor, and prospects for material availability in the coming years. The second objective of the meeting was a discussion of a project of the International Science and Technology Center regarding treatment of irradiated beryllium for disposal. This paper highlights discussions held during that meeting and major conclusions reached

  1. nanotechweb.org TECHNOLOGY UPDATE

    E-Print Network [OSTI]

    Rogers, John A.

    .jpg) The nanopillars (http://images.iop.org/objects/ntw/news/9/8/5/JRogers.jpg) Vertical arrays of semiconductor to construct using conventional semiconductor wafer technologies. However, researchers need to develop a way to fabricate contact electrodes that can bridge and span the gaps between the nanorods or pillars

  2. Updated Eastern Interconnect Wind Power Output and Forecasts for ERGIS: July 2012

    SciTech Connect (OSTI)

    Pennock, K.

    2012-10-01T23:59:59.000Z

    AWS Truepower, LLC (AWST) was retained by the National Renewable Energy Laboratory (NREL) to update wind resource, plant output, and wind power forecasts originally produced by the Eastern Wind Integration and Transmission Study (EWITS). The new data set was to incorporate AWST's updated 200-m wind speed map, additional tall towers that were not included in the original study, and new turbine power curves. Additionally, a primary objective of this new study was to employ new data synthesis techniques developed for the PJM Renewable Integration Study (PRIS) to eliminate diurnal discontinuities resulting from the assimilation of observations into mesoscale model runs. The updated data set covers the same geographic area, 10-minute time resolution, and 2004?2006 study period for the same onshore and offshore (Great Lakes and Atlantic coast) sites as the original EWITS data set.

  3. PAVEMENT TECHNOLOGY UPDATE This Technology Transfer Program

    E-Print Network [OSTI]

    California at Berkeley, University of

    the road." In recent years, increasing amounts of crumb rubber from recycled tires have been added solve the very serious problem of waste tire disposal. TECHNOLOGY TRANSFER PROGRAM SEPTEMBER 2009, VOL. 1, NO. 2 § Rubber Roads: Waste Tires Find a Home By Larry Santucci, PE Pavement Specialist

  4. Updated 11/1/2012 GEORGIA INSTITUTE OF TECHNOLOGY

    E-Print Network [OSTI]

    Li, Mo

    Updated 11/1/2012 GEORGIA INSTITUTE OF TECHNOLOGY OFFICE OF FINANCIAL SERVICES ADMINSTRATION Cash/Investment Management Debt Management Georgia Tech Facilities, Inc. Georgia Advanced Technology Ventures, Inc. Project Accounting Cost Accounting Rate Studies Negotiations Salary, Planning

  5. SOURCE: UNIVERSITY OF CALIFORNIA PAVEMENT RESEARCH CENTER PAVEMENT TECHNOLOGY UPDATE

    E-Print Network [OSTI]

    California at Berkeley, University of

    SOURCE: UNIVERSITY OF CALIFORNIA PAVEMENT RESEARCH CENTER PAVEMENT TECHNOLOGY UPDATE at the California Department of Transportation. Content is provided by the University of California Pavement Research Center. The University of California Pavement Research Center Using innovative research and sound

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

    E-Print Network [OSTI]

    Lang, K.

    1982-01-01T23:59:59.000Z

    capital requirements and research and development programs in the alum inum industry. : CONCLUSIONS Forecasting the use of conservation techndlo gies with a market penetration model provides la more accountable method of projecting aggrega...

  7. Leak detection, monitoring, and mitigation technology trade study update

    SciTech Connect (OSTI)

    HERTZEL, J.S.

    1998-11-10T23:59:59.000Z

    This document is a revision and update to the initial report that describes various leak detection, monitoring, and mitigation (LDMM) technologies that can be used to support the retrieval of waste from the single-shell tanks (SST) at the Hanford Site. This revision focuses on the improvements in the technical performance of previously identified and useful technologies, and it introduces new technologies that might prove to be useful.

  8. Continuous reservoir simulation model updating and forecasting using a markov chain monte carlo method

    E-Print Network [OSTI]

    Liu, Chang

    2009-05-15T23:59:59.000Z

    forecasts of well and reservoir performance, accessible at any time. It can be used to optimize long-term reservoir performance at field scale....

  9. Updated 5/23/14 1 MICHIGAN TECHNOLOGICAL UNIVERSITY

    E-Print Network [OSTI]

    of eligible employees. The RSVP is not an early retirement program. While employees are not constrainedUpdated 5/23/14 1 MICHIGAN TECHNOLOGICAL UNIVERSITY RETIREMENT SUPPLEMENTAL VOLUNTARY PROGRAM (RSVP the Retirement Supplemental Voluntary Program, hereafter called "RSVP", to facilitate the voluntary retirement

  10. Brayton Solvent Recovery Heat Pump Technology Update

    E-Print Network [OSTI]

    Enneking, J. C.

    The Brayton cycle technology was developed to reduce the temperature of gas streams containing solvents in order to condense and recover them. While the use of turbo compressor/expander machinery in conjunction with an energy recuperator...

  11. Geo energy research and development: technology transfer update

    SciTech Connect (OSTI)

    Traeger, R.K.; Dugan, V.L.

    1983-01-01T23:59:59.000Z

    Sandia Geo Energy Programs in geothermal, coal, oil and gas, and synfuel technologies have been effective in transferring research concepts to applications in private industry. This report updates the previous summary (SAND82-0211, March 1982) to include recent technology transfers and to reflect recent changes in philosophy on technology transfer. Over 40 items transferred to industry have been identified in the areas of Hardware, Risk Removal and Understanding. Successful transfer is due largely to personal interactions between Sandia engineers and the technical staffs of private industry.

  12. PBL FY 2002 Third Quarter Review Forecast of Generation Accumulated Net Revenues, Updated August 30, 2002

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's Possible for RenewableSpeedingBiomass and BiofuelsOversightandCenterBusiness Line Updated

  13. Updated: March 22, 2011 Alternative and Renewable Fuel and Vehicle Technologies Program

    E-Print Network [OSTI]

    Updated: March 22, 2011 Alternative and Renewable Fuel and Vehicle Technologies Program FY 2011 Biomass Collaborative (courtesy of University of California, Davis) Howard Levenson ­ California ­ Center for Energy Efficiency and Renewable Technologies Jananne Sharpless ­ Member at Large Eileen Tutt

  14. Consensus Coal Production Forecast for

    E-Print Network [OSTI]

    Mohaghegh, Shahab

    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

  15. Consensus Coal Production And Price Forecast For

    E-Print Network [OSTI]

    Mohaghegh, Shahab

    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

  16. Clean Coal Technology Demonstration Program. Program update 1995

    SciTech Connect (OSTI)

    NONE

    1996-04-01T23:59:59.000Z

    This document describes activities of the U.S. Clean Coal Technology Program for the time of 1985-1995. Various clean coal technologies are described.

  17. Updated April 2010 Reliability Concerns Associated with PV Technologies

    E-Print Network [OSTI]

    it periodically. 1.0 Wafer Silicon 1.1 Cracked cells (bonding processes, strain, etc.) [1-4] 1.2 Solder joint and diffusion of silver gridlines/contacts #12;3 Updated April 2010 6.9 Electromigration due to high current

  18. Pre-Decisional Sodium Bearing Waste Technology Development Roadmap FY-01 Update

    SciTech Connect (OSTI)

    Mc Dannel, Gary Eidson

    2001-09-01T23:59:59.000Z

    This report provides an update to the Sodium Bearing Waste (SBW) Technology Development Roadmap generated a year ago. It outlines progress made to date and near-term plans for the technology development work necessary to support processing SBW. In addition, it serves as a transition document to the Risk Management Plan (RMP) required by the Project per DOE Order 413.3, “Program and Project Management for the Acquisition of Capital Assets.” Technical uncertainties have been identified as design basis elements (DBEs) and captured in a technical baseline database. As the risks are discovered, assessed, and mitigated, the status of the DBEs in the database will be updated and tracked to closure.

  19. Generation IV International Forum Updates Technology Roadmap and Builds

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742Energy ChinaofSchaefer To: Congestion StudyForecasting. |OctoberNiketaGeneralThis

  20. Massachusetts state airport system plan forecasts.

    E-Print Network [OSTI]

    Mathaisel, Dennis F. X.

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

  1. Updated Guidance For Applicants To Advanced Technology Vehicles

    Energy Savers [EERE]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnual Siteof Energy 2, 2015 -Helicopter-Japan Joint Nuclear D.C. *of Energy Update

  2. UPDATE ON SIC-BASED INVERTER TECHNOLOGY Abstract This paper presents a study of Silicon

    E-Print Network [OSTI]

    Tolbert, Leon M.

    UPDATE ON SIC-BASED INVERTER TECHNOLOGY Abstract ­ This paper presents a study of Silicon Carbide, Silicon carbide (SiC) I. INTRODUCTION The role of power electronics in the electrical energy conversion sector is increasing by the decade [1]. Also, with the growth of power electronics as the interface

  3. The Peloton Approach : forecasting and strategic planning for emerging technologies : a case for RFID

    E-Print Network [OSTI]

    Thuvara, Vineet

    2006-01-01T23:59:59.000Z

    The RFID industry is going through a sea of change and at different levels within the industry. Forecasts have been done on different facets of the RFID/EPC industry like the market size or the possible financial returns. ...

  4. Status of thermal imaging technology as applied to conservation-update 1

    SciTech Connect (OSTI)

    Snow, F.J.; Wood, J.T.; Barthle, R.C.

    1980-07-01T23:59:59.000Z

    This document updates the 1978 report on the status of thermal imaging technology as applied to energy conservation in buildings. Thermal imaging technology is discussed in terms of airborne surveys, ground survey programs, and application needs such as standards development and lower cost equipment. Information on the various thermal imaging devices was obtained from manufacturer's standard product literature. Listings are provided of infrared projects of the DOE building diagnostics program, of aerial thermographic firms, and of aerial survey programs. (LCL)

  5. Clean Coal Technology Demonstration Program. Program update 1994

    SciTech Connect (OSTI)

    NONE

    1995-04-01T23:59:59.000Z

    The Clean Coal Technology Demonstration Program (CCT Program) is a $7.14 billion cost-shared industry/government technology development effort. The program is to demonstrate a new generation of advanced coal-based technologies, with the most promising technologies being moved into the domestic and international marketplace. Clean coal technologies being demonstrated under the CCT program are creating the technology base that allows the nation to meet its energy and environmental goals efficiently and reliably. The fact that most of the demonstrations are being conducted at commercial scale, in actual user environments, and under conditions typical of commercial operations allows the potential of the technologies to be evaluated in their intended commercial applications. The technologies are categorized into four market sectors: advanced electric power generation systems; environmental control devices; coal processing equipment for clean fuels; and industrial technologies. Sections of this report describe the following: Role of the Program; Program implementation; Funding and costs; The road to commercial realization; Results from completed projects; Results and accomplishments from ongoing projects; and Project fact sheets. Projects include fluidized-bed combustion, integrated gasification combined-cycle power plants, advanced combustion and heat engines, nitrogen oxide control technologies, sulfur dioxide control technologies, combined SO{sub 2} and NO{sub x} technologies, coal preparation techniques, mild gasification, and indirect liquefaction. Industrial applications include injection systems for blast furnaces, coke oven gas cleaning systems, power generation from coal/ore reduction, a cyclone combustor with S, N, and ash control, cement kiln flue gas scrubber, and pulse combustion for steam coal gasification.

  6. Clean Coal Technology Demonstration Program: Program update 1993

    SciTech Connect (OSTI)

    Not Available

    1994-03-01T23:59:59.000Z

    The Clean Coal Technology Demonstration Program (also referred to as the CCT Program) is a $6.9 billion cost-shared industry/government technology development effort. The program is to demonstrate a new generation of advanced coal-based technologies, with the most promising technologies being moved into the domestic and international marketplace. Technology has a vital role in ensuring that coal can continue to serve U.S. energy interests and enhance opportunities for economic growth and employment while meeting the national committment to a clean and healthy global environment. These technologies are being advanced through the CCT Program. The CCT Program supports three substantive national objectives: ensuring a sustainable environment through technology; enhancing energy efficiency and reliability; providing opportunities for economic growth and employment. The technologies being demonstrated under the CCT Program reduce the emissions of sulfur oxides, nitrogen oxides, greenhouse gases, hazardous air pollutants, solid and liquid wastes, and other emissions resulting from coal use or conversion to other fuel forms. These emissions reductions are achieved with efficiencies greater than or equal to currently available technologies.

  7. Update on Diesel Exhaust Emission Control Technology and Regulations

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

    diesel out of the PM inventory * Technology is the state of optimization and cost reduction - Regeneration * LDD and MDD: engine management * HDD: auxiliary exhaust injection -...

  8. Clean Coal Technology Demonstration Program: Program Update 2001

    SciTech Connect (OSTI)

    Assistant Secretary for Fossil Energy

    2002-07-30T23:59:59.000Z

    Annual report on the Clean Coal Technology Demonstration Program (CCT Program). The report address the role of the CCT Program, implementation, funding and costs, accomplishments, project descriptions, legislative history, program history, environmental aspects, and project contacts. The project descriptions describe the technology and provides a brief summary of the demonstration results. Also includes Power Plant Improvement Initiative Projects.

  9. Clean Coal Technology Programs: Program Update 2003 (Volume 1)

    SciTech Connect (OSTI)

    Assistant Secretary for Fossil Energy

    2003-12-01T23:59:59.000Z

    Annual report on the Clean Coal Technology Demonstration Program (CCTDP), Power Plant Improvement Initiative (PPII), and Clean Coal Power Initiative (CCPI). The report addresses the roles of the programs, implementation, funding and costs, project descriptions, legislative history, program history, environmental aspects, and project contacts. The project descriptions describe the technology and provides a brief summary of the demonstration results.

  10. Clean Coal Technology Demonstration Program: Program Update 1998

    SciTech Connect (OSTI)

    Assistant Secretary for Fossil Energy

    1999-03-01T23:59:59.000Z

    Annual report on the Clean Coal Technology Demonstration Program (CCT Program). The report address the role of the CCT Program, implementation, funding and costs, accomplishments, project descriptions, legislative history, program history, environmental aspects, and project contacts. The project descriptions describe the technology and provides a brief summary of the demonstration results.

  11. Clean Coal Technology Demonstration Program: Program Update 1999

    SciTech Connect (OSTI)

    Assistant Secretary for Fossil Energy

    2000-04-01T23:59:59.000Z

    Annual report on the Clean Coal Technology Demonstration Program (CCT Program). The report address the role of the CCT Program, implementation, funding and costs, accomplishments, project descriptions, legislative history, program history, environmental aspects, and project contacts. The project descriptions describe the technology and provides a brief summary of the demonstration results.

  12. Clean Coal Technology Demonstration Program: Program Update 2000

    SciTech Connect (OSTI)

    Assistant Secretary for Fossil Energy

    2001-04-01T23:59:59.000Z

    Annual report on the Clean Coal Technology Demonstration Program (CCT Program). The report address the role of the CCT Program, implementation, funding and costs, accomplishments, project descriptions, legislative history, program history, environmental aspects, and project contacts. The project descriptions describe the technology and provides a brief summary of the demonstration results.

  13. Clean coal technology demonstration program: Program update 1996-97

    SciTech Connect (OSTI)

    NONE

    1997-10-01T23:59:59.000Z

    The Clean Coal Technology Demonstration Program (known as the CCT Program) reached a significant milestone in 1996 with the completion of 20 of the 39 active projects. The CCT Program is responding to a need to demonstrate and deploy a portfolio of technologies that will assure the U.S. recoverable coal reserves of 297 billion tons could continue to supply the nation`s energy needs economically and in a manner that meets the nation`s environmental objectives. This portfolio of technologies includes environmental control devices that contributed to meeting the accords on transboundary air pollution recommended by the Special Envoys on Acid Rain in 1986. Operational, technical, environmental, and economic performance information and data are now flowing from highly efficient, low-emission, advanced power generation technologies that will enable coal to retain its prominent role into the next millennium. Further, advanced technologies are emerging that will enhance the competitive use of coal in the industrial sector, such as in steelmaking. Coal processing technologies will enable the entire coal resource base to be used while complying with environmental requirements. These technologies are producing products used by utilities and industrial processes. The capability to coproduce products, such as liquid and solid fuels, electricity, and chemicals, is being demonstrated at a commercial scale by projects in the CCT Program. In summary, this portfolio of technologies is satisfying the national need to maintain a multifuel energy mix in which coal is a key component because of its low-cost, availability, and abundant supply within the nation`s borders.

  14. Technology data characterizing lighting in commercial buildings: Application to end-use forecasting with commend 4.0

    SciTech Connect (OSTI)

    Sezgen, A.O.; Huang, Y.J.; Atkinson, B.A.; Eto, J.H.; Koomey, J.G.

    1994-05-01T23:59:59.000Z

    End-use forecasting models typically utilize technology tradeoff curves to represent technology options available to consumers. A tradeoff curve, in general terms, is a functional form which relates efficiency to capital cost. Each end-use is modeled by a single tradeoff curve. This type of representation is satisfactory in the analysis of many policy options. On the other hand, for policies addressing individual technology options or groups of technology options, because individual technology options are accessible to the analyst, representation in such reduced form is not satisfactory. To address this and other analysis needs, the Electric Power Research Institute (EPRI) has enhanced its Commercial End-Use Planning System (COMMEND) to allow modeling of specific lighting and space conditioning (HVAC) technology options. This report characterizes the present commercial floorstock in terms of lighting technologies and develops cost-efficiency data for these lighting technologies. This report also characterizes the interactions between the lighting and space conditioning end uses in commercial buildings in the US In general, lighting energy reductions increase the heating and decrease the cooling requirements. The net change in a building`s energy requirements, however, depends on the building characteristics, operating conditions, and the climate. Lighting/HVAC interactions data were generated through computer simulations using the DOE-2 building energy analysis program.

  15. Innovative Energy Efficiency, Renewable Energy, and Grid Technology Update

    Broader source: Energy.gov [DOE]

    This webinar will cover the latest developments in several different energy technologies and how to use them separately or in combination to realize the greatest benefit to tribal communities. The webinar is held from 11:00 a.m. to 12:30 p.m. Mountain Standard Time on April 29, 2015.

  16. Updated U.S. Geothermal Supply Characterization

    SciTech Connect (OSTI)

    Petty, S.; Porro, G.

    2007-03-01T23:59:59.000Z

    This paper documents the approach taken to characterize and represent an updated assessment of U.S. geothermal supply for use in forecasting the penetration of geothermal electrical generation in the National Energy Modeling System (NEMS). This work is motivated by several factors: The supply characterization used as the basis of several recent U.S. Department of Energy (DOE) forecasts of geothermal capacity is outdated; additional geothermal resource assessments have been published; and a new costing tool that incorporates current technology, engineering practices, and associated costs has been released.

  17. Technology Forecasting Scenario Development

    E-Print Network [OSTI]

    analysis (LCA). - Per Dannemand Andersen (*) : M.Sc. (Mech. Eng.), B.Com. (Org.), Ph.D. (Management/science interaction, wind energy economics and implementing policies, decision sup- port to the Danish Energy Agency on wind energy issues, Danish executive committee member of IEA's wind energy agreement. - Dominic Idier

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

    E-Print Network [OSTI]

    Sixth Northwest Conservation and Electric Power Plan Appendix D: Wholesale Electricity Price.................................................................................................................................. 27 INTRODUCTION The Council prepares and periodically updates a 20-year forecast of wholesale to forecast wholesale power prices. AURORAxmp® provides the ability to inco

  19. Solar forecasting review

    E-Print Network [OSTI]

    Inman, Richard Headen

    2012-01-01T23:59:59.000Z

    Quantifying PV power output variability,” Solar Energy, vol.each solar sen at node i, P(t) the total power output of theSolar Forecasting Historically, traditional power generation technologies such as fossil and nu- clear power which were designed to run in stable output

  20. TECHNOLOGY DATA CHARACTERIZING LIGHTING IN COMMERCIAL BUILDINGS: APPLICATION TO END-USE FORECASTING WITH COMMEND 4.0

    E-Print Network [OSTI]

    LBL-34243 UC - 1600 TECHNOLOGY DATA CHARACTERIZING LIGHTING IN COMMERCIAL BUILDINGS: APPLICATION Technologies, and the Office of Environmental Analysis, Office of Policy, Planning, and Analysis of the U.S. Department of Energy under Contract No. DE-AC03-76SF00098. #12;Technology Data Characterizing Lighting

  1. 1993 Solid Waste Reference Forecast Summary

    SciTech Connect (OSTI)

    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

    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.

  2. Nonparametric models for electricity load forecasting

    E-Print Network [OSTI]

    Genève, Université de

    Electricity consumption is constantly evolving due to changes in people habits, technological innovations1 Nonparametric models for electricity load forecasting JANUARY 23, 2015 Yannig Goude, Vincent at University Paris-Sud 11 Orsay. His research interests are electricity load forecasting, more generally time

  3. Program Review Updates and Briefings

    Broader source: Energy.gov [DOE]

    You can learn more about the U.S. Department of Energy (DOE) Geothermal Technologies Program by reading its program review updates and program briefings. These updates and briefings feature...

  4. Solar forecasting review

    E-Print Network [OSTI]

    Inman, Richard Headen

    2012-01-01T23:59:59.000Z

    and forecasting of solar radiation data: a review,”forecasting of solar- radiation data,” Solar Energy, vol.sequences of global solar radiation data for isolated sites:

  5. SOLID WASTE INTEGRATED FORECAST TECHNICAL (SWIFT) REPORT FY2003 THRU FY2046 VERSION 2003.1 VOLUME 2 [SEC 1 & 2

    SciTech Connect (OSTI)

    BARCOT, R.A.

    2003-12-01T23:59:59.000Z

    This report includes data requested on September 10, 2002 and includes radioactive solid waste forecasting updates through December 31, 2002. The FY2003.0 request is the primary forecast for fiscal year FY 2003.

  6. analytical energy forecasting: Topics by E-print Network

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

    COMMISSION Tom Gorin Lynn Marshall Principal Author Tom Gorin Project 11 Short-Term Solar Energy Forecasting Using Wireless Sensor Networks Computer Technologies and...

  7. Texas Electricity Update

    E-Print Network [OSTI]

    Lloyd, B.

    2012-01-01T23:59:59.000Z

    Texas Electricity Update CATEE 2012 Galveston, Texas Brian Lloyd Executive Director Public Utility Commission of Texas October 10, 2012 1 2 Drought Summary May Reserve Margin Report 3 Demand Growth by Region 4 105? Normal... 917 Firm Load Forecast, MW 65,649 68,403 71,692 73,957 75,360 76,483 CATEE 2012 Questions? Brian H. Lloyd Executive Director Public Utility Commission of Texas 512-936-7040 14 ...

  8. Updated Generation IV Reactors Integrated Materials Technology Program Plan, Revision 2

    SciTech Connect (OSTI)

    Corwin, William R [ORNL; Burchell, Timothy D [ORNL; Halsey, William [Lawrence Livermore National Laboratory (LLNL); Hayner, George [Idaho National Laboratory (INL); Katoh, Yutai [ORNL; Klett, James William [ORNL; McGreevy, Timothy E [ORNL; Nanstad, Randy K [ORNL; Ren, Weiju [ORNL; Snead, Lance Lewis [ORNL; Stoller, Roger E [ORNL; Wilson, Dane F [ORNL

    2005-12-01T23:59:59.000Z

    The Department of Energy's (DOE's) Generation IV Nuclear Energy Systems Program will address the research and development (R&D) necessary to support next-generation nuclear energy systems. Such R&D will be guided by the technology roadmap developed for the Generation IV International Forum (GIF) over two years with the participation of over 100 experts from the GIF countries. The roadmap evaluated over 100 future systems proposed by researchers around the world. The scope of the R&D described in the roadmap covers the six most promising Generation IV systems. The effort ended in December 2002 with the issue of the final Generation IV Technology Roadmap [1.1]. The six most promising systems identified for next generation nuclear energy are described within the roadmap. Two employ a thermal neutron spectrum with coolants and temperatures that enable hydrogen or electricity production with high efficiency (the Supercritical Water Reactor - SCWR and the Very High Temperature Reactor - VHTR). Three employ a fast neutron spectrum to enable more effective management of actinides through recycling of most components in the discharged fuel (the Gas-cooled Fast Reactor - GFR, the Lead-cooled Fast Reactor - LFR, and the Sodium-cooled Fast Reactor - SFR). The Molten Salt Reactor (MSR) employs a circulating liquid fuel mixture that offers considerable flexibility for recycling actinides, and may provide an alternative to accelerator-driven systems. A few major technologies have been recognized by DOE as necessary to enable the deployment of the next generation of advanced nuclear reactors, including the development and qualification of the structural materials needed to ensure their safe and reliable operation. Accordingly, DOE has identified materials as one of the focus areas for Gen IV technology development.

  9. Applications of EOR (enhanced oil recovery) technology in field projects--1990 update

    SciTech Connect (OSTI)

    Pautz, J.F.; Thomas, R.D.

    1991-01-01T23:59:59.000Z

    Trends in the type and number of US enhanced oil recovery (EOR) projects are analyzed for the period from 1980 through 1989. The analysis is based on current literature and news media and the Department of Energy (DOE) EOR Project Data Base, which contains information on over 1,348 projects. The characteristics of the EOR projects are grouped by starting date and process type to identify trends in reservoir statistics and applications of process technologies. Twenty-two EOR projects starts were identified for 1989 and ten project starts for 1988. An obvious trend over recent years has been the decline in the number of project starts since 1981 until 1988 which corresponds to the oil price decline during that period. There was a modest recovery in 1989 of project starts, which lags the modest recovery of oil prices in 1987 that was reconfirmed in 1989. During the time frame of 1980 to 1989, there has been a gradual improvement in costs of operation for EOR technology. The perceived average cost of EOR has gone down from a $30/bbl range to low $20/bbl. These costs of operation seems to stay just at the price of oil or slightly above to result in marginal profitability. The use of polymer flooding has drastically decreased both in actual and relative numbers of project starts since the oil price drop in 1986. Production from polymer flooding is down more than 50%. Long-term plans for large, high-cost projects such as CO{sub 2} flooding in West Texas, steamflooding in California, and hydrocarbon flooding on the North Slope have continued to be implemented. EOR process technologies have been refined to be more cost effective as shown by the continued application and rising production attributable to EOR. 8 refs., 6 figs., 13 tabs.

  10. Hydrogen and Fuel Cell Technologies Update: 2010 Fuel Cell Seminar and

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page onYouTube YouTube Note: Since the.pdfBreaking of Blythe SolarContaminationCurrent Technology »CleanExposition |

  11. Central Wind Forecasting Programs in North America by Regional Transmission Organizations and Electric Utilities: Revised Edition

    SciTech Connect (OSTI)

    Rogers, J.; Porter, K.

    2011-03-01T23:59:59.000Z

    The report and accompanying table addresses the implementation of central wind power forecasting by electric utilities and regional transmission organizations in North America. The first part of the table focuses on electric utilities and regional transmission organizations that have central wind power forecasting in place; the second part focuses on electric utilities and regional transmission organizations that plan to adopt central wind power forecasting in 2010. This is an update of the December 2009 report, NREL/SR-550-46763.

  12. Last updated: July 31, 2013 Page 1 of 3 CUNY HRPP Guidance: Internet or Mobile Technology Based Human Subject Research

    E-Print Network [OSTI]

    Rosen, Jay

    or Mobile Technology Based Human Subject Research 1. Purpose The purpose responsibilities and considerations related to Internet or mobile technology based human of the Internet or mobile technology as a tool for subject recruitment; as a tool

  13. RESERVOIR INFLOW FORECASTING USING NEURAL NETWORKS CHANDRASHEKAR SUBRAMANIAN

    E-Print Network [OSTI]

    Manry, Michael

    a mixture of hydroelectric and non- hydroelectric power, the economics of the hydroelectric plants depend, and to economically allocate the load between various non-hydroelectric plants. Neural networks provide an attractive technology for inflow forecasting, because of (1) their success in power load forecasting 1- 6 , and (2

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

    E-Print Network [OSTI]

    Kemner, Ken

    Wind Power Forecasting: State-of-the-Art 2009 ANL/DIS-10-1 Decision and Information Sciences about Argonne and its pioneering science and technology programs, see www.anl.gov. #12;Wind Power................................................ 14 2.2.3 Critical Processes for Wind Forecast

  15. Solar forecasting review

    E-Print Network [OSTI]

    Inman, Richard Headen

    2012-01-01T23:59:59.000Z

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

  16. Rainfall-River Forecasting

    E-Print Network [OSTI]

    US Army Corps of Engineers

    ;2Rainfall-River Forecasting Joint Summit II NOAA Integrated Water Forecasting Program · Minimize losses due management and enhance America's coastal assets · Expand information for managing America's Water Resources, Precipitation and Water Quality Observations · USACE Reservoir Operation Information, Streamflow, Snowpack

  17. Issues in midterm analysis and forecasting, 1996

    SciTech Connect (OSTI)

    NONE

    1996-08-01T23:59:59.000Z

    This document consists of papers which cover topics in analysis and modeling that underlie the Annual Energy Outlook 1996. Topics include: The Potential Impact of Technological Progress on U.S. Energy Markets; The Outlook for U.S. Import Dependence; Fuel Economy, Vehicle Choice, and Changing Demographics, and Annual Energy Outlook Forecast Evaluation.

  18. June 2014 Update | ornl.gov

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

    inaugural issue of Building Technologies Update highlights a breakthrough in home refrigeration research, the new UT-ORNL Governor's Chair for High Performance Energy Practices...

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

    E-Print Network [OSTI]

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

    Comparisons are made of energy forecasts using results from the Industrial module of the National Energy Modeling System (NEMS) and an industrial economic-engineering model called the Industrial Technology and Energy Modeling System (ITEMS), a model...

  20. Vehicle Technologies Office Merit Review 2015: Development and Update of Long-Term Energy and GHG Emission Macroeconomic Accounting Tool

    Broader source: Energy.gov [DOE]

    Presentation given by Argonne National Laboratory at 2015 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Office Annual Merit Review and Peer Evaluation Meeting about development and...

  1. Vehicle Technologies Office Merit Review 2014: Development and Update of Long-Term Energy and GHG Emission Macroeconomic Accounting Tool

    Broader source: Energy.gov [DOE]

    Presentation given by Argonne National Laboratory at 2014 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Office Annual Merit Review and Peer Evaluation Meeting about the development...

  2. Bioenergy Technologies Office Multi-Year Program Plan: November...

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

    Bioenergy Technologies Office Multi-Year Program Plan: November 2014 Update Bioenergy Technologies Office Multi-Year Program Plan: November 2014 Update This Multi-Year Program Plan...

  3. Innovative Energy Efficiency, Renewable Energy, and Grid Technology...

    Energy Savers [EERE]

    Innovative Energy Efficiency, Renewable Energy, and Grid Technology Update Innovative Energy Efficiency, Renewable Energy, and Grid Technology Update April 29, 2015 11:00AM to...

  4. Probabilistic manpower forecasting

    E-Print Network [OSTI]

    Koonce, James Fitzhugh

    1966-01-01T23:59:59.000Z

    PROBABILISTIC MANPOWER FORECASTING A Thesis JAMES FITZHUGH KOONCE Submitted to the Graduate College of the Texas ASSAM University in partial fulfillment of the requirements for the degree of MASTER OF SCIENCE May, 1966 Major Subject...: Computer Science and Statistics PROBABILISTIC MANPOWER FORECASTING A Thesis By JAMES FITZHUGH KOONCE Submitted to the Graduate College of the Texas A@M University in partial fulfillment of the requirements for the degree of MASTER OF SCIENCE May...

  5. UPF Forecast | Y-12 National Security Complex

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

    Uranium Processing Facility UPF Forecast UPF Forecast UPF Procurement provides the following forecast of subcontracting opportunities. Keep in mind that these requirements may be...

  6. Long Term Forecast ofLong Term Forecast of TsunamisTsunamis

    E-Print Network [OSTI]

    : ImproveImprove NOAANOAA''ss understandingunderstanding and forecast capabilityand forecast capability inin

  7. Washington Update

    Energy Savers [EERE]

    Text eere.energy.gov Federal Energy Management Program FederalUtility Partnership Working Group David McAndrew April 14, 2010 Providence RI Washington Update Federal Energy...

  8. The Center for Technology for Advanced Scientific Component Software (TASCS) Lawrence Livermore National Laboratory - Site Status Update

    SciTech Connect (OSTI)

    Epperly, T W

    2008-12-03T23:59:59.000Z

    This report summarizes LLNL's progress for the period April through September of 2008 for the Center for Technology for Advanced Scientific Component Software (TASCS) SciDAC. The TASCS project is organized into four major thrust areas: CCA Environment (72%), Component Technology Initiatives (16%), CCA Toolkit (8%), and User and Application Outreach & Support (4%). The percentage of LLNL's effort allocation is shown in parenthesis for each thrust area. Major thrust areas are further broken down into activity areas, LLNL's effort directed to each activity is shown in Figure 1. Enhancements, Core Tools, and Usability are all part of CCA Environment, and Software Quality is part of Component Technology Initiatives. The balance of this report will cover our accomplishments in each of these activity areas.

  9. Reprinted from: Proceedings, International Workshop on Observations/Forecasting of Meso-scale Severe Weather and

    E-Print Network [OSTI]

    Doswell III, Charles A.

    -scale Severe Weather and Technology of Reduction of Relevant Disasters (Tokyo, Japan), 22-26 February 1993, 181 technology and powerful workstation approaches in the forecasting workplace. Training and education leading to the weather events should form the basis for any scientific approaches to forecasting those

  10. Critical Update - Renwable Guidance Update

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

    Renewable Update FUPWG May 1, 2007 Chandra Shah, National Renewable Energy Laboratory 303-384-7557, chandrashah@nrel.gov Presentation Overview * Energy Policy Act of 2005 (EPACT...

  11. Page 1 | B.S.E.T. in Civil Engineering Technology | Academic Plan of Study Updated March 2014 B.S.E.T. in Civil Engineering Technology

    E-Print Network [OSTI]

    Raja, Anita

    of Engineering Technology and Construction Management et.uncc.edu PROGRAM SUMMARY · Credit Hours: 128 degree as a dual major with the B.S.C.M. in Construction Management. This plan of study typically takes in the areas of structures, construction, transportation, water resources, and geotechnics. In the first two

  12. Bioenergy Technologies Office Multi-Year Program Plan: May 2013...

    Energy Savers [EERE]

    Bioenergy Technologies Office Multi-Year Program Plan: May 2013 Update Bioenergy Technologies Office Multi-Year Program Plan: May 2013 Update This is the May 2013 Update to the...

  13. Tracking Progress Last updated 5/7/2014 Statewide Energy Demand 1

    E-Print Network [OSTI]

    Tracking Progress Last updated 5/7/2014 Statewide Energy Demand 1 Statewide Energy Demand Energy Commission's energy demand forecast includes multiple scenarios, the Energy Commission worked together1 to agree upon a single managed demand forecast that incorporates all energy efficiency

  14. Steam System Forecasting and Management

    E-Print Network [OSTI]

    Mongrue, D. M.; Wittke, D. O.

    1982-01-01T23:59:59.000Z

    '. This and the complex and integrated nature of the plants energy balance makes steam system forecasting and management essential for optimum use of the plant's energy. This paper discusses the method used by Union carbide to accomplish effective forecasting...

  15. Update and Expansion of the Center of Automotive Technology Excellence Under the Graduate Automotive Technology Education (GATE) Program at the University of Tennessee, Knoxville

    SciTech Connect (OSTI)

    Irick, David

    2012-08-30T23:59:59.000Z

    The Graduate Automotive Technology Education (GATE) Center at the University of Tennessee, Knoxville has completed its seventh year of operation under this agreement, its thirteenth year in total. During this period the Center has involved eleven GATE Fellows and three GATE Research Assistants in preparing them to contribute to advanced automotive technologies in the center’s focus area: Advanced Hybrid Propulsion and Control Systems. In addition to the impact that the Center has had on the students and faculty involved, the presence of the center has led to the acquisition of resources that probably would not have been obtained if the GATE Center had not existed. Significant industry interaction such as equipment donations, and support for GATE students has been realized. The value of the total resources brought to the university (including related research contracts) exceeds $2,000,000.

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

    SciTech Connect (OSTI)

    Widiss, R.; Porter, K.

    2014-03-01T23:59:59.000Z

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

  17. Improving Inventory Control Using Forecasting

    E-Print Network [OSTI]

    Balandran, Juan

    2005-12-16T23:59:59.000Z

    EMGT 835 FIELD PROJECT: Improving Inventory Control Using Forecasting By Juan Mario Balandran jmbg@hotmail.com Master of Science The University of Kansas Fall Semester, 2005 An EMGT Field Project report submitted...............................................................................................................................................10 Current Inventory Forecast Process ...........................................................................................10 Development of Alternative Forecast Process...

  18. timber quality Modelling and forecasting

    E-Print Network [OSTI]

    Forest and timber quality in Europe Modelling and forecasting yield and quality in Europe Forest and timber quality in Europe Modelling and forecasting yield and quality in Europe M E F Y Q U E #12;Valuing and the UK ­ are working closely together to develop a model to help forecast timber growth, yield, quality

  19. Demand Forecast INTRODUCTION AND SUMMARY

    E-Print Network [OSTI]

    electricity demand forecast means that the region's electricity needs would grow by 5,343 average megawattsDemand Forecast INTRODUCTION AND SUMMARY A 20-year forecast of electricity demand is a required in electricity demand is, of course, crucial to determining the need for new electricity resources and helping

  20. METEOROLOGICAL Weather and Forecasting

    E-Print Network [OSTI]

    AMERICAN METEOROLOGICAL SOCIETY Weather and Forecasting EARLY ONLINE RELEASE This is a preliminary and interpretation of information from National Weather Service watches and warnings by10 decision makers such an outlier to the regional severe weather climatology. An analysis of the synoptic and13 mesoscale

  1. Fuel Price Forecasts INTRODUCTION

    E-Print Network [OSTI]

    Fuel Price Forecasts INTRODUCTION Fuel prices affect electricity planning in two primary ways and water heating, and other end-uses as well. Fuel prices also influence electricity supply and price because oil, coal, and natural gas are potential fuels for electricity generation. Natural gas

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

    E-Print Network [OSTI]

    Mathiesen, Patrick James

    2013-01-01T23:59:59.000Z

    Forecasting and Resource Assessment, 1 st Edition, Editors:Forecasting and Resource Assessment, 1 st Edition, Editors:Forecasting and Resource Assessment, 1 st Ed.. Editor: Jan

  3. ASSESSING AND FORECASTING, BY PLAY, NATURAL GAS ULTIMATE RECOVERY GROWTH AND QUANTIFYING THE ROLE OF TECHNOLOGY ADVANCEMENTS IN THE TEXAS GULF COAST BASIN AND EAST TEXAS

    SciTech Connect (OSTI)

    William L. Fisher; Eugene M. Kim

    2000-12-01T23:59:59.000Z

    A detailed natural gas ultimate recovery growth (URG) analysis of the Texas Gulf Coast Basin and East Texas has been undertaken. The key to such analysis was determined to be the disaggregation of the resource base to the play level. A play is defined as a conceptual geologic unit having one or more reservoirs that can be genetically related on the basis of depositional origin of the reservoir, structural or trap style, source rocks and hydrocarbon generation, migration mechanism, seals for entrapment, and type of hydrocarbon produced. Plays are the geologically homogeneous subdivision of the universe of petroleum pools within a basin. Therefore, individual plays have unique geological features that can be used as a conceptual model that incorporates geologic processes and depositional environments to explain the distribution of petroleum. Play disaggregation revealed important URG trends for the major natural gas fields in the Texas Gulf Coast Basin and East Texas. Although significant growth and future potential were observed for the major fields, important URG trends were masked by total, aggregated analysis based on a broad geological province. When disaggregated by plays, significant growth and future potential were displayed for plays that were associated with relatively recently discovered fields, deeper reservoir depths, high structural complexities due to fault compartmentalization, reservoirs designated as tight gas/low-permeability, and high initial reservoir pressures. Continued technology applications and advancements are crucial in achieving URG potential in these plays.

  4. Forecasting oilfield economic performance

    SciTech Connect (OSTI)

    Bradley, M.E. (Univ. of Chicago, IL (United States)); Wood, A.R.O. (BP Exploration, Anchorage, AK (United States))

    1994-11-01T23:59:59.000Z

    This paper presents a general method for forecasting oilfield economic performance that integrates cost data with operational, reservoir, and financial information. Practices are developed for determining economic limits for an oil field and its components. The economic limits of marginal wells and the role of underground competition receive special attention. Also examined is the influence of oil prices on operating costs. Examples illustrate application of these concepts. Categorization of costs for historical tracking and projections is recommended.

  5. Data Update for Paxton, MA December, 2006

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    Data Update for Paxton, MA December, 2006 Prepared for Massachusetts Technology Collaborative, 75 North Drive, Westborough, MA 01581 By Kai Wu Monthly Data Summary for December, 2006 This update summarizes the monthly data results for the Paxton MA monitoring site at 42-18-11.6 N, 71-53-50.9 W per

  6. Data Update for Paxton, MA November, 2006

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    Data Update for Paxton, MA November, 2006 Prepared for Massachusetts Technology Collaborative, 75 North Drive, Westborough, MA 01581 By Kai Wu Monthly Data Summary for November, 2006 This update summarizes the monthly data results for the Paxton MA monitoring site at 42-18-11.6 N, 71-53-50.9 W per

  7. Data Update for Paxton, MA February, 2005

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    Data Update for Paxton, MA February, 2005 Prepared for Massachusetts Technology Collaborative, 75 North Drive, Westborough, MA 01581 By Kai Wu Monthly Data Summary for February, 2005 This update summarizes the monthly data results for the Paxton MA monitoring site at 42-18-11.6 N, 71-53-50.9 W per

  8. Data Update for Paxton, MA January, 2006

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    Data Update for Paxton, MA January, 2006 Prepared for Massachusetts Technology Collaborative, 75 North Drive, Westborough, MA 01581 By Kai Wu Monthly Data Summary for January, 2006 This update summarizes the monthly data results for the Paxton MA monitoring site at 42-18-11.6 N, 71-53-50.9 W per

  9. Data Update for Paxton, MA Prepared for

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    Data Update for Paxton, MA May, 2006 Prepared for Massachusetts Technology Collaborative, 75 North Drive, Westborough, MA 01581 By Kai Wu Monthly Data Summary for May, 2006 This update summarizes the monthly data results for the Paxton MA monitoring site at 42-18-11.6 N, 71-53-50.9 W per the WSG84

  10. Data Update for Paxton, MA September, 2006

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    Data Update for Paxton, MA September, 2006 Prepared for Massachusetts Technology Collaborative, 75 North Drive, Westborough, MA 01581 By Kai Wu Monthly Data Summary for September, 2006 This update summarizes the monthly data results for the Paxton MA monitoring site at 42-18-11.6 N, 71-53-50.9 W per

  11. Data Update for Paxton, MA October, 2004

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    Data Update for Paxton, MA October, 2004 Prepared for Massachusetts Technology Collaborative, 75 North Drive, Westborough, MA 01581 By Kai Wu Monthly Data Summary for October, 2004 This update summarizes the monthly data results for the Paxton MA monitoring site at 42-18-11.6 N, 71-53-50.9 W per

  12. Data Update for Paxton, MA Prepared for

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    Data Update for Paxton, MA June, 2006 Prepared for Massachusetts Technology Collaborative, 75 North Drive, Westborough, MA 01581 By Kai Wu Monthly Data Summary for June, 2006 This update summarizes the monthly data results for the Paxton MA monitoring site at 42-18-11.6 N, 71-53-50.9 W per the WSG84

  13. Data Update for Paxton, MA April, 2005

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    Data Update for Paxton, MA April, 2005 Prepared for Massachusetts Technology Collaborative, 75 North Drive, Westborough, MA 01581 By Kai Wu Monthly Data Summary for April, 2005 This update summarizes the monthly data results for the Paxton MA monitoring site at 42-18-11.6 N, 71-53-50.9 W per the WSG84

  14. Data Update for Paxton, MA October, 2005

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    Data Update for Paxton, MA October, 2005 Prepared for Massachusetts Technology Collaborative, 75 North Drive, Westborough, MA 01581 By Kai Wu Monthly Data Summary for October, 2005 This update summarizes the monthly data results for the Paxton MA monitoring site at 42-18-11.6 N, 71-53-50.9 W per

  15. Data Update for Paxton, MA August, 2005

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    Data Update for Paxton, MA August, 2005 Prepared for Massachusetts Technology Collaborative, 75 North Drive, Westborough, MA 01581 By Kai Wu Monthly Data Summary for August, 2005 This update summarizes the monthly data results for the Paxton MA monitoring site at 42-18-11.6 N, 71-53-50.9 W per

  16. Data Update for Paxton, MA September, 2005

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    Data Update for Paxton, MA September, 2005 Prepared for Massachusetts Technology Collaborative, 75 North Drive, Westborough, MA 01581 By Kai Wu Monthly Data Summary for September, 2005 This update summarizes the monthly data results for the Paxton MA monitoring site at 42-18-11.6 N, 71-53-50.9 W per

  17. Data Update for Paxton, MA April, 2006

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    Data Update for Paxton, MA April, 2006 Prepared for Massachusetts Technology Collaborative, 75 North Drive, Westborough, MA 01581 By Kai Wu Monthly Data Summary for April, 2006 This update summarizes the monthly data results for the Paxton MA monitoring site at 42-18-11.6 N, 71-53-50.9 W per the WSG84

  18. Data Update for Paxton, MA October, 2006

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    Data Update for Paxton, MA October, 2006 Prepared for Massachusetts Technology Collaborative, 75 North Drive, Westborough, MA 01581 By Kai Wu Monthly Data Summary for October, 2006 This update summarizes the monthly data results for the Paxton MA monitoring site at 42-18-11.6 N, 71-53-50.9 W per

  19. Data Update for Paxton, MA Prepared for

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    Data Update for Paxton, MA May, 2005 Prepared for Massachusetts Technology Collaborative, 75 North Drive, Westborough, MA 01581 By Kai Wu Monthly Data Summary for May, 2005 This update summarizes the monthly data results for the Paxton MA monitoring site at 42-18-11.6 N, 71-53-50.9 W per the WSG84

  20. Data Update for Paxton, MA November, 2004

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    Data Update for Paxton, MA November, 2004 Prepared for Massachusetts Technology Collaborative, 75 North Drive, Westborough, MA 01581 By Kai Wu Monthly Data Summary for November, 2004 This update summarizes the monthly data results for the Paxton MA monitoring site at 42-18-11.6 N, 71-53-50.9 W per

  1. Data Update for Paxton, MA February, 2006

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    Data Update for Paxton, MA February, 2006 Prepared for Massachusetts Technology Collaborative, 75 North Drive, Westborough, MA 01581 By Kai Wu Monthly Data Summary for February, 2006 This update summarizes the monthly data results for the Paxton MA monitoring site at 42-18-11.6 N, 71-53-50.9 W per

  2. Data Update for Blandford, MA October 2006

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    Data Update for Blandford, MA October 2006 Prepared for Massachusetts Technology Collaborative 75 North Drive, Westborough, MA 01581 By Matthew Lackner Monthly Data Summary for October 2006 This update summarizes the monthly data results for the Blandford monitoring site in Blandford, MA, at 42.223° N, 72

  3. Data Update for Paxton, MA March, 2006

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    Data Update for Paxton, MA March, 2006 Prepared for Massachusetts Technology Collaborative, 75 North Drive, Westborough, MA 01581 By Kai Wu Monthly Data Summary for March, 2006 This update summarizes the monthly data results for the Paxton MA monitoring site at 42-18-11.6 N, 71-53-50.9 W per the WSG84

  4. Data Update for Paxton, MA August, 2006

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    Data Update for Paxton, MA August, 2006 Prepared for Massachusetts Technology Collaborative, 75 North Drive, Westborough, MA 01581 By Kai Wu Monthly Data Summary for August, 2006 This update summarizes the monthly data results for the Paxton MA monitoring site at 42-18-11.6 N, 71-53-50.9 W per

  5. Data Update for Paxton, MA December, 2005

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    Data Update for Paxton, MA December, 2005 Prepared for Massachusetts Technology Collaborative, 75 North Drive, Westborough, MA 01581 By Kai Wu Monthly Data Summary for December, 2005 This update summarizes the monthly data results for the Paxton MA monitoring site at 42-18-11.6 N, 71-53-50.9 W per

  6. Data Update for Paxton, MA March, 2005

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    Data Update for Paxton, MA March, 2005 Prepared for Massachusetts Technology Collaborative, 75 North Drive, Westborough, MA 01581 By Kai Wu Monthly Data Summary for March, 2005 This update summarizes the monthly data results for the Paxton MA monitoring site at 42-18-11.6 N, 71-53-50.9 W per the WSG84

  7. Data Update for Blandford, MA November 2006

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    Data Update for Blandford, MA November 2006 Prepared for Massachusetts Technology Collaborative 75 North Drive, Westborough, MA 01581 By Matthew Lackner Monthly Data Summary for November 2006 This update summarizes the monthly data results for the Blandford monitoring site in Blandford, MA, at 42.223° N, 72

  8. Data Update for Paxton, MA Prepared for

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    Data Update for Paxton, MA July, 2005 Prepared for Massachusetts Technology Collaborative, 75 North Drive, Westborough, MA 01581 By Kai Wu Monthly Data Summary for July, 2005 This update summarizes the monthly data results for the Paxton MA monitoring site at 42-18-11.6 N, 71-53-50.9 W per the WSG84

  9. Data Update for Paxton, MA Prepared for

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    Data Update for Paxton, MA June, 2005 Prepared for Massachusetts Technology Collaborative, 75 North Drive, Westborough, MA 01581 By Kai Wu Monthly Data Summary for June, 2005 This update summarizes the monthly data results for the Paxton MA monitoring site at 42-18-11.6 N, 71-53-50.9 W per the WSG84

  10. Data Update for Paxton, MA September, 2004

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    Data Update for Paxton, MA September, 2004 Prepared for Massachusetts Technology Collaborative, 75 North Drive, Westborough, MA 01581 By Kai Wu Monthly Data Summary for September, 2004 This update summarizes the monthly data results for the Paxton MA monitoring site at 42-18-11.6 N, 71-53-50.9 W per

  11. Data Update for Paxton, MA Prepared for

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    Data Update for Paxton, MA July, 2006 Prepared for Massachusetts Technology Collaborative, 75 North Drive, Westborough, MA 01581 By Kai Wu Monthly Data Summary for July, 2006 This update summarizes the monthly data results for the Paxton MA monitoring site at 42-18-11.6 N, 71-53-50.9 W per the WSG84

  12. Data Update for Paxton, MA January, 2005

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    Data Update for Paxton, MA January, 2005 Prepared for Massachusetts Technology Collaborative, 75 North Drive, Westborough, MA 01581 By Kai Wu Monthly Data Summary for January, 2005 This update summarizes the monthly data results for the Paxton MA monitoring site at 42-18-11.6 N, 71-53-50.9 W per

  13. Data Update for Paxton, MA November, 2005

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    Data Update for Paxton, MA November, 2005 Prepared for Massachusetts Technology Collaborative, 75 North Drive, Westborough, MA 01581 By Kai Wu Monthly Data Summary for November, 2005 This update summarizes the monthly data results for the Paxton MA monitoring site at 42-18-11.6 N, 71-53-50.9 W per

  14. Data Update for Paxton, MA December, 2004

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    Data Update for Paxton, MA December, 2004 Prepared for Massachusetts Technology Collaborative, 75 North Drive, Westborough, MA 01581 By Kai Wu Monthly Data Summary for December, 2004 This update summarizes the monthly data results for the Paxton MA monitoring site at 42-18-11.6 N, 71-53-50.9 W per

  15. nuclear power Update of the mit 2003

    E-Print Network [OSTI]

    Reuter, Martin

    #12;Future of nuclear power Update of the mit 2003 PROFESSOR JOHN M.DEUTCH Institute Professor. Update of the MIT 2003 Future of Nuclear Power Study 1 Massachusetts Institute of Technology, The Future Department of Chemistry DR.CHARLES W.FORSBERG Executive Director, MIT Nuclear Fuel Cycle Study Department

  16. Bioenergy Technologies Office Multi-Year Program Plan: July 2014...

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

    July 2014 Update -- Sections Bioenergy Technologies Office Multi-Year Program Plan: July 2014 Update -- Sections This Multi-Year Program Plan (MYPP) sets forth the goals and...

  17. A Kalman-filter bias correction of ozone deterministic, ensemble-averaged, and probabilistic forecasts

    SciTech Connect (OSTI)

    Monache, L D; Grell, G A; McKeen, S; Wilczak, J; Pagowski, M O; Peckham, S; Stull, R; McHenry, J; McQueen, J

    2006-03-20T23:59:59.000Z

    Kalman filtering (KF) is used to postprocess numerical-model output to estimate systematic errors in surface ozone forecasts. It is implemented with a recursive algorithm that updates its estimate of future ozone-concentration bias by using past forecasts and observations. KF performance is tested for three types of ozone forecasts: deterministic, ensemble-averaged, and probabilistic forecasts. Eight photochemical models were run for 56 days during summer 2004 over northeastern USA and southern Canada as part of the International Consortium for Atmospheric Research on Transport and Transformation New England Air Quality (AQ) Study. The raw and KF-corrected predictions are compared with ozone measurements from the Aerometric Information Retrieval Now data set, which includes roughly 360 surface stations. The completeness of the data set allowed a thorough sensitivity test of key KF parameters. It is found that the KF improves forecasts of ozone-concentration magnitude and the ability to predict rare events, both for deterministic and ensemble-averaged forecasts. It also improves the ability to predict the daily maximum ozone concentration, and reduces the time lag between the forecast and observed maxima. For this case study, KF considerably improves the predictive skill of probabilistic forecasts of ozone concentration greater than thresholds of 10 to 50 ppbv, but it degrades it for thresholds of 70 to 90 ppbv. Moreover, KF considerably reduces probabilistic forecast bias. The significance of KF postprocessing and ensemble-averaging is that they are both effective for real-time AQ forecasting. KF reduces systematic errors, whereas ensemble-averaging reduces random errors. When combined they produce the best overall forecast.

  18. EE Regional Technology Roadmap Includes comparison

    E-Print Network [OSTI]

    EE Regional Technology Roadmap Includes comparison against 6th Power Plan (Update cyclically Data Clearinghouse BPA/RTF NEEA/Regional Programs Group Update Regional EE Technology Roadmap Lighting

  19. ams scale update: Topics by E-print Network

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

    Statistics 110, or above. The actual courses will vary Wolfe, Patrick J. 3 Greenhouse Energy Efficiency Update 9 am to 4 pm on Computer Technologies and Information Sciences...

  20. UWIG Forecasting Workshop -- Albany (Presentation)

    SciTech Connect (OSTI)

    Lew, D.

    2011-04-01T23:59:59.000Z

    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.

  1. ELECTRICITY DEMAND FORECAST COMPARISON REPORT

    E-Print Network [OSTI]

    CALIFORNIA ENERGY COMMISSION ELECTRICITY DEMAND FORECAST COMPARISON REPORT STAFFREPORT June 2005.................................................................................................................................3 PACIFIC GAS & ELECTRIC PLANNING AREA ........................................................................................9 Commercial Sector

  2. Arnold Schwarzenegger INTEGRATED FORECAST AND

    E-Print Network [OSTI]

    Arnold Schwarzenegger Governor INTEGRATED FORECAST AND RESERVOIR MANAGEMENT (INFORM) FOR NORTHERN Manager Joseph O' Hagan Project Manager Kelly Birkinshaw Program Area Manager ENERGY-RELATED ENVIRONMENTAL

  3. Value of Improved Wind Power Forecasting in the Western Interconnection (Poster)

    SciTech Connect (OSTI)

    Hodge, B.

    2013-12-01T23:59:59.000Z

    Wind power forecasting is a necessary and important technology for incorporating wind power into the unit commitment and dispatch process. It is expected to become increasingly important with higher renewable energy penetration rates and progress toward the smart grid. There is consensus that wind power forecasting can help utility operations with increasing wind power penetration; however, there is far from a consensus about the economic value of improved forecasts. This work explores the value of improved wind power forecasting in the Western Interconnection of the United States.

  4. CALIFORNIA ENERGY DEMAND 20122022 FINAL FORECAST

    E-Print Network [OSTI]

    Energy Commission's final forecasts for 2012­2022 electricity consumption, peak, and natural gas demand Electricity, demand, consumption, forecast, weather normalization, peak, natural gas, self generation CALIFORNIA ENERGY DEMAND 20122022 FINAL FORECAST Volume 2: Electricity Demand

  5. REVISED CALIFORNIA ENERGY DEMAND FORECAST 20122022

    E-Print Network [OSTI]

    the California Energy Commission staff's revised forecasts for 2012­2022 electricity consumption, peak Electricity, demand, consumption, forecast, weather normalization, peak, natural gas, self generation REVISED CALIFORNIA ENERGY DEMAND FORECAST 20122022 Volume 1: Statewide Electricity Demand

  6. REVISED CALIFORNIA ENERGY DEMAND FORECAST 20122022

    E-Print Network [OSTI]

    Energy Commission staff's revised forecasts for 2012­2022 electricity consumption, peak, and natural Electricity, demand, consumption, forecast, weather normalization, peak, natural gas, self generation REVISED CALIFORNIA ENERGY DEMAND FORECAST 20122022 Volume 2: Electricity Demand by Utility

  7. NATIONAL AND GLOBAL FORECASTS WEST VIRGINIA PROFILES AND FORECASTS

    E-Print Network [OSTI]

    Mohaghegh, Shahab

    · NATIONAL AND GLOBAL FORECASTS · WEST VIRGINIA PROFILES AND FORECASTS · ENERGY · HEALTHCARE Research West Virginia University College of Business and Economics P.O. Box 6527, Morgantown, WV 26506 EXPERT OPINION PROVIDED BY Keith Burdette Cabinet Secretary West Virginia Department of Commerce

  8. Conservation The Northwest ForecastThe Northwest Forecast

    E-Print Network [OSTI]

    & Resources Creating Mr. Toad's Wild Ride for the PNW's Energy Efficiency InCreating Mr. Toad's Wild RideNorthwest Power and Conservation Council The Northwest ForecastThe Northwest Forecast ­­ Energy EfficiencyEnergy Efficiency Dominates ResourceDominates Resource DevelopmentDevelopment Tom EckmanTom Eckman

  9. Analysis and Synthesis of Load Forecasting Data for Renewable Integration Studies: Preprint

    SciTech Connect (OSTI)

    Steckler, N.; Florita, A.; Zhang, J.; Hodge, B. M.

    2013-11-01T23:59:59.000Z

    As renewable energy constitutes greater portions of the generation fleet, the importance of modeling uncertainty as part of integration studies also increases. In pursuit of optimal system operations, it is important to capture not only the definitive behavior of power plants, but also the risks associated with systemwide interactions. This research examines the dependence of load forecast errors on external predictor variables such as temperature, day type, and time of day. The analysis was utilized to create statistically relevant instances of sequential load forecasts with only a time series of historic, measured load available. The creation of such load forecasts relies on Bayesian techniques for informing and updating the model, thus providing a basis for networked and adaptive load forecast models in future operational applications.

  10. A framework for technology forecasting and visualization

    E-Print Network [OSTI]

    Woon, Wei Lee

    This paper presents a novel framework for supporting the development of well-informed research policies and plans. The proposed methodology is based on the use of bibliometrics; i.e., analysis is conducted using information ...

  11. A Framework for Technology Forecasting and Visualization

    E-Print Network [OSTI]

    Woon, Wei Lee

    This paper presents a novel framework for supporting the development of well-informed research policies and plans. The proposed methodology is based on the use of bibliometrics; i.e., analysis is conducted using information ...

  12. Advanced Technology for Railway Hydraulic Hazard Forecasting

    E-Print Network [OSTI]

    Huff, William Edward 1988-

    2012-12-05T23:59:59.000Z

    Page 1.1 Map of Total Railway Hydraulic Hazard Events from 1982-2011 ............ 2 1.2 90 mi Effective Radar Coverage for Reliable Rainfall Rate Determination ....................................................................... 5 3... Administration (FRA) for the period of 1982-2011. This data was compiled from the FRA Office of Safety Analysis website (FRA, 2011). A map of the railway hydraulic hazard events over the same time period is displayed in Figure 1.1. Table 1.1. U.S. Railway...

  13. 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. Hall Deputy Director Energy Efficiency and Demand Analysis Division Scott W. Matthews Acting Executive

  14. Mathematical Forecasting Donald I. Good

    E-Print Network [OSTI]

    Boyer, Robert Stephen

    Mathematical Forecasting Donald I. Good Technical Report 47 September 1989 Computational Logic Inc the physical behavior of computer programs can reduce these risks for software engineering in the same way that it does for aerospace and other fields of engineering. Present forecasting capabilities for computer

  15. Regional-seasonal weather forecasting

    SciTech Connect (OSTI)

    Abarbanel, H.; Foley, H.; MacDonald, G.; Rothaus, O.; Rudermann, M.; Vesecky, J.

    1980-08-01T23:59:59.000Z

    In the interest of allocating heating fuels optimally, the state-of-the-art for seasonal weather forecasting is reviewed. A model using an enormous data base of past weather data is contemplated to improve seasonal forecasts, but present skills do not make that practicable. 90 references. (PSB)

  16. Export Control Overview and Update

    E-Print Network [OSTI]

    Wood, Marcelo A.

    Export Control Overview and Update Marci Copeland, Export Control Officer #12;US Export Laws #12 items including equipment, materials, software & technology is export restricted Licensing can impact research timeline Certain imports/exports may be detained or seized by Customs in the US or in other

  17. NCAR WRF-based data assimilation and forecasting systems for wind energy applications power

    E-Print Network [OSTI]

    Kim, Guebuem

    NCAR WRF-based data assimilation and forecasting systems for wind energy applications power Yuewei of these modeling technologies w.r.t. wind energy applications. Then I'll discuss wind farm

  18. Tradeoff between Investments in Infrastructure and Forecasting when Facing Natural Disaster Risk

    E-Print Network [OSTI]

    Kim, Seong D.

    2010-07-14T23:59:59.000Z

    Hurricane Katrina of 2005 was responsible for at least 81 billion dollars of property damage. In planning for such emergencies, society must decide whether to invest in the ability to evacuate more speedily or in improved forecasting technology...

  19. A Distributed Modeling System for Short-Term to Seasonal Ensemble Streamflow Forecasting in Snowmelt Dominated Basins

    SciTech Connect (OSTI)

    Wigmosta, Mark S.; Gill, Muhammad K.; Coleman, Andre M.; Prasad, Rajiv; Vail, Lance W.

    2007-12-01T23:59:59.000Z

    This paper describes a distributed modeling system for short-term to seasonal water supply forecasts with the ability to utilize remotely-sensed snow cover products and real-time streamflow measurements. Spatial variability in basin characteristics and meteorology is represented using a raster-based computational grid. Canopy interception, snow accumulation and melt, and simplified soil water movement are simulated in each computational unit. The model is run at a daily time step with surface runoff and subsurface flow aggregated at the basin scale. This approach allows the model to be updated with spatial snow cover and measured streamflow using an Ensemble Kalman-based data assimilation strategy that accounts for uncertainty in weather forecasts, model parameters, and observations used for updating. Model inflow forecasts for the Dworshak Reservoir in northern Idaho are compared to observations and to April-July volumetric forecasts issued by the Natural Resource Conservation Service (NRCS) for Water Years 2000 – 2006. October 1 volumetric forecasts are superior to those issued by the NRCS, while March 1 forecasts are comparable. The ensemble spread brackets the observed April-July volumetric inflows in all years. Short-term (one and three day) forecasts also show excellent agreement with observations.

  20. CALIFORNIA ENERGY COMMISSION0 Annual Update to the Forecasted

    E-Print Network [OSTI]

    Additional Rooftop PV 6 Additional Combined Heat and Power 7 Adjusted Statewide Retail Sales for RPS 7.5 12.6 5 AdditionalRooftop PV - 0.4 0.7 6 AdditionalCombined Heatand Power 20.8 11.6 9.9 7 Adjusted Adjustments CED 2011 ­ Form 1.1c - CDWR, MWD, WAPA - pumping loads ­ Small LSEs (

  1. Update On The Wholesale Electricity Price Forecast & Modeling Results

    E-Print Network [OSTI]

    ,877 Replacement #12;CO2 Emission Modeling § The AURORAxmp® electric market model calculates CO2 emission) Assumptions § CO2 emission modeling § Base Case Results § Scenario/Sensitivities § Emission Projections Database ­ eGRID 2012 Year 2009 ­ Emissions, including CO2, are estimated using information from various

  2. CSUF Economic Outlook and Forecasts Midyear Update, April 2011

    E-Print Network [OSTI]

    de Lijser, Peter

    and government support) to fundamental forces (business and consumption spending) has reached a more advanced, (4) sustained elevated oil prices, and (5) financial shocks from the European sovereign debt crisis, reflecting continued but moderate expansion. Consumption Spending. Real personal consumption expenditure fell

  3. EPA Diesel Update

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

    EPA Diesel Update 2005 DEER Conference Bill Charmley EPAOffice of Transportation and Air Quality August 22, 2005 2 Overview * Implementation update on mobile source diesel...

  4. ESnet Update

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625govInstrumentstdmadapInactiveVisitingContract ManagementDiscoveringESnet Update Winter 2008 Joint Techs Workshop

  5. Arnold Schwarzenegger INTEGRATED FORECAST AND

    E-Print Network [OSTI]

    Arnold Schwarzenegger Governor INTEGRATED FORECAST AND RESERVOIR MANAGEMENT (INFORM) FOR NORTHERN with primary contributions in the area of decision support for reservoir planning and management Commission Energy-Related Environmental Research Joseph O' Hagan Contract Manager Joseph O' Hagan Project

  6. Arnold Schwarzenegger INTEGRATED FORECAST AND

    E-Print Network [OSTI]

    Arnold Schwarzenegger Governor INTEGRATED FORECAST AND RESERVOIR MANAGEMENT (INFORM) FOR NORTHERN: California Energy Commission Energy-Related Environmental Research Joseph O' Hagan Contract Manager Joseph O' Hagan Project Manager Kelly Birkinshaw Program Area Manager ENERGY-RELATED ENVIRONMENTAL RESEARCH Martha

  7. Value of Wind Power Forecasting

    SciTech Connect (OSTI)

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

    2011-04-01T23:59:59.000Z

    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.

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

    E-Print Network [OSTI]

    Goto, Susumu

    2007-01-01T23:59:59.000Z

    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 ...

  9. Market penetration of new energy technologies

    SciTech Connect (OSTI)

    Packey, D.J.

    1993-02-01T23:59:59.000Z

    This report examines the characteristics, advantages, disadvantages, and, for some, the mathematical formulas of forecasting methods that can be used to forecast the market penetration of renewable energy technologies. Among the methods studied are subjective estimation, market surveys, historical analogy models, cost models, diffusion models, time-series models, and econometric models. Some of these forecasting methods are more effective than others at different developmental stages of new technologies.

  10. Optimal combined wind power forecasts using exogeneous variables

    E-Print Network [OSTI]

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

  11. Critical Updates to the Hydrogen Analysis Production Model (H2A...

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

    Fuel Cell Technologies Program webinar, "Critical Updates to the Hydrogen Analysis Production Model (H2A v3)." Critical Updates to the Hydrogen Analysis Production Model (H2A v3)...

  12. Technology

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of ScienceandMesa del SolStrengthening a solidSynthesis of 2D AlloysTrails NewsTechnologyTechnology A

  13. Technology

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of ScienceandMesa del SolStrengthening a solidSynthesis of 2D AlloysTrails NewsTechnologyTechnology

  14. Hydrogen Pathways: Updated Cost, Well-to-Wheels Energy Use, and Emissions for the Current Technology Status of Ten Hydrogen Production, Delivery, and Distribution Scenarios

    SciTech Connect (OSTI)

    Ramsden, T.; Ruth, M.; Diakov, V.; Laffen, M.; Timbario, T. A.

    2013-03-01T23:59:59.000Z

    This report describes a life-cycle assessment conducted by the National Renewable Energy Laboratory (NREL) of 10 hydrogen production, delivery, dispensing, and use pathways that were evaluated for cost, energy use, and greenhouse gas (GHG) emissions. This evaluation updates and expands on a previous assessment of seven pathways conducted in 2009. This study summarizes key results, parameters, and sensitivities to those parameters for the 10 hydrogen pathways, reporting on the levelized cost of hydrogen in 2007 U.S. dollars as well as life-cycle well-to-wheels energy use and GHG emissions associated with the pathways.

  15. Bioenergy Technologies Office Multi-Year Program Plan: July 2014...

    Energy Savers [EERE]

    Bioenergy Technologies Office Multi-Year Program Plan: July 2014 Update Bioenergy Technologies Office Multi-Year Program Plan: July 2014 Update This Multi-Year Program Plan (MYPP)...

  16. Statistical Basis for Predicting Technological Progress

    E-Print Network [OSTI]

    Nagy, Bela

    Forecasting technological progress is of great interest to engineers, policy makers, and private investors. Several models have been proposed for predicting technological improvement, but how well do these models perform? ...

  17. LHCb Computing Resources: 2011 re-assessment, 2012 request and 2013 forecast

    E-Print Network [OSTI]

    Graciani, R

    2011-01-01T23:59:59.000Z

    This note covers the following aspects: re-assessment of computing resource usage estimates for 2011 data taking period, request of computing resource needs for 2012 data taking period and a first forecast of the 2013 needs, when no data taking is foreseen. Estimates are based on 2010 experienced and last updates from LHC schedule, as well as on a new implementation of the computing model simulation tool. Differences in the model and deviations in the estimates from previous presented results are stressed.

  18. Subscriber Services Complete Forecast

    E-Print Network [OSTI]

    funded solar energy, then cut funding off, heavily funded electric vehicles, then cut funding off. There is a better understanding of the elements that are essential to operating a fusion power plant. Other fusion power plant in the United States. Fusion is, of course, just one of the energy technologies

  19. Forecasting consumer products using prediction markets

    E-Print Network [OSTI]

    Trepte, Kai

    2009-01-01T23:59:59.000Z

    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 ...

  20. Management Forecast Quality and Capital Investment Decisions

    E-Print Network [OSTI]

    Goodman, Theodore H.

    Corporate investment decisions require managers to forecast expected future cash flows from potential investments. Although these forecasts are a critical component of successful investing, they are not directly observable ...

  1. Wind Power Forecasting andWind Power Forecasting and Electricity Market Operations

    E-Print Network [OSTI]

    Kemner, Ken

    forecasting methods and better integration of advanced wind power forecasts into system and plant operations and wind power plants) ­ Review and assess current practices Propose and test new and improved approachesWind Power Forecasting andWind Power Forecasting and Electricity Market Operations Audun Botterud

  2. 1995 shipment review & five year forecast

    SciTech Connect (OSTI)

    Fetherolf, D.J. Jr. [East Penn Manufacturing Co., Inc., Lyon Station, PA (United States)

    1996-01-01T23:59:59.000Z

    This report describes the 1995 battery shipment review and five year forecast for the battery market. Historical data is discussed.

  3. CALIFORNIA ENERGY DEMAND 20142024 REVISED FORECAST

    E-Print Network [OSTI]

    CALIFORNIA ENERGY DEMAND 20142024 REVISED FORECAST Volume 2: Electricity Demand The California Energy Demand 2014 ­ 2024 Revised Forecast, Volume 2: Electricity Demand by Utility Planning Area Energy Policy Report. The forecast includes three full scenarios: a high energy demand case, a low

  4. LED Update

    SciTech Connect (OSTI)

    Johnson, Mark L.; Gordon, Kelly L.

    2006-09-01T23:59:59.000Z

    This article, which will appear in RESIDENTIAL LIGHTING MAGAZINE, interviews PNNL's Kelly Gordon and presents the interview in question and answer format. The topic is a light emitting diode (LED) lighting also known as solid state lighting. Solid state lighting will be a new category in an energy efficient lighting fixture design competition called Lighting for Tomorrow sponsored by the US Department of Energy Emerging Technologies Office, the American Institute for Lighting, and the Consortium for Energy Efficiency. LED technology has been around since the ’60s, but it has been used mostly for indicator lights on electronics equipment. The big breakthrough was the development in the 1990s of blue LEDs which can be combined with the red and green LEDs that already existed to make white light. LEDs produce 25 to 40 lumens of light per watt of energy used, almost as much as a CFL (50 lumens per watt) and much more efficient than incandescent sources, which are around 15 lumens per watt. They are much longer lived and practical in harsh environments unsuitable for incandescent lighting. They are ready for niche applications now, like under-counter lighting and may be practical for additional applications as technological challenges are worked out and the technology is advancing in leaps and bounds.

  5. [DOCUMENT TITLE

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

    energy storage technologies), as well as updated grid and energy data (e.g., distributed solar photovoltaic and wind installed capacity forecasts, peak load forecasts). Additional...

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

    SciTech Connect (OSTI)

    Thomas, L.C.

    1994-10-01T23:59:59.000Z

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

  7. LOAD FORECASTING Eugene A. Feinberg

    E-Print Network [OSTI]

    Feinberg, Eugene A.

    , regression, artificial intelligence. 1. Introduction Accurate models for electric power load forecasting to make important decisions including decisions on pur- chasing and generating electric power, load for different operations within a utility company. The natures 269 #12;270 APPLIED MATHEMATICS FOR POWER SYSTEMS

  8. Calculator simplifies field production forecasting

    SciTech Connect (OSTI)

    Bixler, B.

    1982-05-01T23:59:59.000Z

    A method of forecasting future field production from an assumed average well production schedule and drilling schedule has been programmed for the HP-41C hand-held programmable computer. No longer must tedious row summations be made by hand for staggered well production schedules. Details of the program are provided.

  9. PADSTE Update

    SciTech Connect (OSTI)

    Bishop, Alan [Los Alamos National Laboratory

    2012-09-17T23:59:59.000Z

    In the first Principal Associate Director Science, Technology and Engineering (PADSTE) all-employees meeting since Alan Bishop was selected as principal associate director, Dr Bishop reviews the state of the organization as FY12 nears completion and sets a vision for the coming year. He highlights the people in our organization and their accomplishments, the quality of ST&E, the impact of capabilities and programs, strategic directions and investments, and sets the stage and expectations for FY13.

  10. Data Update for Mt. Tom, Holyoke, MA August 2006

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    Data Update for Mt. Tom, Holyoke, MA August 2006 Prepared for Massachusetts Technology Collaborative 75 North Drive, Westborough, MA 01581 By Melissa Elkinton Monthly Data Summary for August 2006 This update summarizes the monthly data results for the Mt. Tom monitoring site in Holyoke, MA, at 42° 14' 59

  11. Data Update for Mt. Tom, Holyoke, MA Prepared for

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    Data Update for Mt. Tom, Holyoke, MA June 2005 Prepared for Massachusetts Technology Collaborative 75 North Drive, Westborough, MA 01581 By Melissa Ray Monthly Data Summary for June 2005 This update summarizes the monthly data results for the Mt. Tom monitoring site in Holyoke, MA, at 42° 14' 59.2" N, 72

  12. Data Update for Mt. Tom, Holyoke, MA January 2006

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    Data Update for Mt. Tom, Holyoke, MA January 2006 Prepared for Massachusetts Technology Collaborative 75 North Drive, Westborough, MA 01581 By Melissa Ray Monthly Data Summary for December 2005 This update summarizes the monthly data results for the Mt. Tom monitoring site in Holyoke, MA, at 42° 14' 59

  13. Data Update for Mt. Tom, Holyoke, MA Prepared for

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    Data Update for Mt. Tom, Holyoke, MA May 2007 Prepared for Massachusetts Technology Collaborative 75 North Drive, Westborough, MA 01581 By Puneet Malhotra Monthly Data Summary for May 2007 This update summarizes the monthly data results for the Mt. Tom monitoring site in Holyoke, MA, at 42° 14' 59

  14. Data Update for Mt. Tom, Holyoke, MA October 2006

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    Data Update for Mt. Tom, Holyoke, MA October 2006 Prepared for Massachusetts Technology Collaborative 75 North Drive, Westborough, MA 01581 By Melissa Elkinton Monthly Data Summary for October 2006 This update summarizes the monthly data results for the Mt. Tom monitoring site in Holyoke, MA, at 42° 14' 59

  15. Data Update for Mt. Tom, Holyoke, MA Prepared for

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    Data Update for Mt. Tom, Holyoke, MA July 2007 Prepared for Massachusetts Technology Collaborative 75 North Drive, Westborough, MA 01581 By Puneet Malhotra Monthly Data Summary for July 2007 This update summarizes the monthly data results for the Mt. Tom monitoring site in Holyoke, MA, at 42° 14' 59

  16. Data Update for Mt. Tom, Holyoke, MA December 2005

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    Data Update for Mt. Tom, Holyoke, MA December 2005 Prepared for Massachusetts Technology Collaborative 75 North Drive, Westborough, MA 01581 By Melissa Ray Monthly Data Summary for December 2005 This update summarizes the monthly data results for the Mt. Tom monitoring site in Holyoke, MA, at 42° 14' 59

  17. Data Update for Mt. Tom, Holyoke, MA October 2005

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    Data Update for Mt. Tom, Holyoke, MA October 2005 Prepared for Massachusetts Technology Collaborative 75 North Drive, Westborough, MA 01581 By Melissa Ray Monthly Data Summary for October 2005 This update summarizes the monthly data results for the Mt. Tom monitoring site in Holyoke, MA, at 42° 14' 59

  18. Data Update for Mt. Tom, Holyoke, MA Prepared for

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    Data Update for Mt. Tom, Holyoke, MA July 2006 Prepared for Massachusetts Technology Collaborative 75 North Drive, Westborough, MA 01581 By Melissa Elkinton Monthly Data Summary for July 2006 This update summarizes the monthly data results for the Mt. Tom monitoring site in Holyoke, MA, at 42° 14' 59

  19. Data Update for Mt. Tom, Holyoke, MA Prepared for

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    Data Update for Mt. Tom, Holyoke, MA July 2005 Prepared for Massachusetts Technology Collaborative 75 North Drive, Westborough, MA 01581 By Melissa Ray Monthly Data Summary for July 2005 This update summarizes the monthly data results for the Mt. Tom monitoring site in Holyoke, MA, at 42° 14' 59.2" N, 72

  20. Data Update for Mt. Tom, Holyoke, MA Prepared for

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    Data Update for Mt. Tom, Holyoke, MA March 2007 Prepared for Massachusetts Technology Collaborative 75 North Drive, Westborough, MA 01581 By Puneet Malhotra Monthly Data Summary for March 2007 This update summarizes the monthly data results for the Mt. Tom monitoring site in Holyoke, MA, at 42° 14' 59

  1. Data Update for Mt. Tom, Holyoke, MA Prepared for

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    Data Update for Mt. Tom, Holyoke, MA May 2006 Prepared for Massachusetts Technology Collaborative 75 North Drive, Westborough, MA 01581 By Melissa Ray Monthly Data Summary for May 2006 This update summarizes the monthly data results for the Mt. Tom monitoring site in Holyoke, MA, at 42° 14' 59.2" N, 72

  2. Data Update for Mt. Tom, Holyoke, MA Prepared for

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    Data Update for Mt. Tom, Holyoke, MA April 2007 Prepared for Massachusetts Technology Collaborative 75 North Drive, Westborough, MA 01581 By Puneet Malhotra Monthly Data Summary for April 2007 This update summarizes the monthly data results for the Mt. Tom monitoring site in Holyoke, MA, at 42° 14' 59

  3. Data Update for Mt. Tom, Holyoke, MA October 2007

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    Data Update for Mt. Tom, Holyoke, MA October 2007 Prepared for Massachusetts Technology Collaborative 75 North Drive, Westborough, MA 01581 By Puneet Malhotra Monthly Data Summary for October 2007 This update summarizes the monthly data results for the Mt. Tom monitoring site in Holyoke, MA, at 42° 14' 59

  4. Data Update for Mt. Tom, Holyoke, MA November 2005

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    Data Update for Mt. Tom, Holyoke, MA November 2005 Prepared for Massachusetts Technology Collaborative 75 North Drive, Westborough, MA 01581 By Melissa Ray Monthly Data Summary for November 2005 This update summarizes the monthly data results for the Mt. Tom monitoring site in Holyoke, MA, at 42° 14' 59

  5. Data Update for Mt. Tom, Holyoke, MA January 2008

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    Data Update for Mt. Tom, Holyoke, MA January 2008 Prepared for Massachusetts Technology Collaborative 75 North Drive, Westborough, MA 01581 By Puneet Malhotra Monthly Data Summary for January 2008 This update summarizes the monthly data results for the Mt. Tom monitoring site in Holyoke, MA, at 42° 14' 59

  6. Data Update for Mt. Tom, Holyoke, MA Prepared for

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    Data Update for Mt. Tom, Holyoke, MA June 2007 Prepared for Massachusetts Technology Collaborative 75 North Drive, Westborough, MA 01581 By Puneet Malhotra Monthly Data Summary for June 2007 This update summarizes the monthly data results for the Mt. Tom monitoring site in Holyoke, MA, at 42° 14' 59

  7. Data Update for Mt. Tom, Holyoke, MA January 2007

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    Data Update for Mt. Tom, Holyoke, MA January 2007 Prepared for Massachusetts Technology Collaborative 75 North Drive, Westborough, MA 01581 By Puneet Malhotra Monthly Data Summary for January 2007 This update summarizes the monthly data results for the Mt. Tom monitoring site in Holyoke, MA, at 42° 14' 59

  8. Data Update for Mt. Tom, Holyoke, MA Prepared for

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    Data Update for Mt. Tom, Holyoke, MA April 2008 Prepared for Massachusetts Technology Collaborative 75 North Drive, Westborough, MA 01581 By Puneet Malhotra Monthly Data Summary for April 2008 This update summarizes the monthly data results for the Mt. Tom monitoring site in Holyoke, MA, at 42° 14' 59

  9. Data Update for Mt. Tom, Holyoke, MA Prepared for

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    Data Update for Mt. Tom, Holyoke, MA March 2008 Prepared for Massachusetts Technology Collaborative 75 North Drive, Westborough, MA 01581 By Puneet Malhotra Monthly Data Summary for March 2008 This update summarizes the monthly data results for the Mt. Tom monitoring site in Holyoke, MA, at 42° 14' 59

  10. Data Update for Mt. Tom, Holyoke, MA Prepared for

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    Data Update for Mt. Tom, Holyoke, MA June 2006 Prepared for Massachusetts Technology Collaborative 75 North Drive, Westborough, MA 01581 By Melissa Elkinton Monthly Data Summary for June 2006 This update summarizes the monthly data results for the Mt. Tom monitoring site in Holyoke, MA, at 42° 14' 59

  11. Data Update for Mt. Tom, Holyoke, MA November 2006

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    Data Update for Mt. Tom, Holyoke, MA November 2006 Prepared for Massachusetts Technology Collaborative 75 North Drive, Westborough, MA 01581 By Melissa Elkinton Monthly Data Summary for November 2006 This update summarizes the monthly data results for the Mt. Tom monitoring site in Holyoke, MA, at 42° 14' 59

  12. Data Update for Mt. Tom, Holyoke, MA February 2007

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    Data Update for Mt. Tom, Holyoke, MA February 2007 Prepared for Massachusetts Technology Collaborative 75 North Drive, Westborough, MA 01581 By Puneet Malhotra Monthly Data Summary for February 2007 This update summarizes the monthly data results for the Mt. Tom monitoring site in Holyoke, MA, at 42° 14' 59

  13. Data Update for Mt. Tom, Holyoke, MA Prepared for

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    Data Update for Mt. Tom, Holyoke, MA April 2006 Prepared for Massachusetts Technology Collaborative 75 North Drive, Westborough, MA 01581 By Melissa Ray Monthly Data Summary for April 2006 This update summarizes the monthly data results for the Mt. Tom monitoring site in Holyoke, MA, at 42° 14' 59.2" N, 72

  14. Data Update for Mt. Tom, Holyoke, MA Prepared for

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    Data Update for Mt. Tom, Holyoke, MA March 2006 Prepared for Massachusetts Technology Collaborative 75 North Drive, Westborough, MA 01581 By Melissa Ray Monthly Data Summary for March 2006 This update summarizes the monthly data results for the Mt. Tom monitoring site in Holyoke, MA, at 42° 14' 59.2" N, 72

  15. Data Update for Mt. Tom, Holyoke, MA August 2005

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    Data Update for Mt. Tom, Holyoke, MA August 2005 Prepared for Massachusetts Technology Collaborative 75 North Drive, Westborough, MA 01581 By Melissa Ray Monthly Data Summary for August 2005 This update summarizes the monthly data results for the Mt. Tom monitoring site in Holyoke, MA, at 42° 14' 59

  16. Data Update for Mt. Tom, Holyoke, MA Prepared for

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    Data Update for Mt. Tom, Holyoke, MA May 2008 Prepared for Massachusetts Technology Collaborative 75 North Drive, Westborough, MA 01581 By Puneet Malhotra Monthly Data Summary for May 2008 This update summarizes the monthly data results for the Mt. Tom monitoring site in Holyoke, MA, at 42° 14' 59

  17. Data Update for Mt. Tom, Holyoke, MA August 2007

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    Data Update for Mt. Tom, Holyoke, MA August 2007 Prepared for Massachusetts Technology Collaborative 75 North Drive, Westborough, MA 01581 By Puneet Malhotra Monthly Data Summary for August 2007 This update summarizes the monthly data results for the Mt. Tom monitoring site in Holyoke, MA, at 42° 14' 59

  18. Data Update for Thompson Island, Boston Harbor, MA Prepared for

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    Data Update for Thompson Island, Boston Harbor, MA July 2006 Prepared for Massachusetts Technology This update summarizes the monthly data results for the Thompson Island monitoring site in Boston Harbor, MA the next service visit. Monthly Data Time Series Seen below is a graph of wind speed at Thompson Island

  19. Data Update for Thompson Island, Boston Harbor, MA Prepared for

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    Data Update for Thompson Island, Boston Harbor, MA March 2007 Prepared for Massachusetts Technology This update summarizes the monthly data results for the Thompson Island monitoring site in Boston Harbor, MA speed at Thompson Island for the month of March 2007, at the highest anemometer height of 40 m. #12;

  20. Data Update for Thompson Island, Boston Harbor, MA Prepared for

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    Data Update for Thompson Island, Boston Harbor, MA May 2006 Prepared for Massachusetts Technology This update summarizes the monthly data results for the Thompson Island monitoring site in Boston Harbor, MA the next site visit. · Monthly Data Time Series Seen below is a graph of wind speed at Thompson Island

  1. Data Update for Thompson Island, Boston Harbor, MA Prepared for

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    Data Update for Thompson Island, Boston Harbor, MA March 2006 Prepared for Massachusetts Technology This update summarizes the monthly data results for the Thompson Island monitoring site in Boston Harbor, MA the spring of 2006. · Monthly Data Time Series Seen below is a graph of wind speed at Thompson Island

  2. Data Update for Thompson Island, Boston Harbor, MA Prepared for

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    Data Update for Thompson Island, Boston Harbor, MA April 2008 Prepared for Massachusetts Technology This update summarizes the monthly data results for the Thompson Island monitoring site in Boston Harbor, MA to this report if and when this happens. Monthly Data Time Series Seen below is a graph of wind speed at Thompson

  3. Data Update for Thompson Island, Boston Harbor, MA Prepared for

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    Data Update for Thompson Island, Boston Harbor, MA July 2007 Prepared for Massachusetts Technology This update summarizes the monthly data results for the Thompson Island monitoring site in Boston Harbor, MA speed at Thompson Island for the month of July 2007, at the highest anemometer height of 40 m. #12;

  4. Data Update for Thompson Island, Boston Harbor, MA Prepared for

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    Data Update for Thompson Island, Boston Harbor, MA June 2008 Prepared for Massachusetts Technology This update summarizes the monthly data results for the Thompson Island monitoring site in Boston Harbor, MA to the sensor cables. Monthly Data Time Series Seen below is a graph of wind speed at Thompson Island

  5. Data Update for Thompson Island, Boston Harbor, MA Prepared for

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    Data Update for Thompson Island, Boston Harbor, MA April 2007 Prepared for Massachusetts Technology This update summarizes the monthly data results for the Thompson Island monitoring site in Boston Harbor, MA speed at Thompson Island for the month of April 2007, at the highest anemometer height of 40 m. #12;

  6. Data Update for Thompson Island, Boston Harbor, MA Prepared for

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    Data Update for Thompson Island, Boston Harbor, MA June 2006 Prepared for Massachusetts Technology This update summarizes the monthly data results for the Thompson Island monitoring site in Boston Harbor, MA the next service visit. · Monthly Data Time Series Seen below is a graph of wind speed at Thompson Island

  7. Data Update for Thompson Island, Boston Harbor, MA Prepared for

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    Data Update for Thompson Island, Boston Harbor, MA April 2006 Prepared for Massachusetts Technology This update summarizes the monthly data results for the Thompson Island monitoring site in Boston Harbor, MA the next service visit. · Monthly Data Time Series Seen below is a graph of wind speed at Thompson Island

  8. Data Update for Thompson Island, Boston Harbor, MA Prepared for

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    Data Update for Thompson Island, Boston Harbor, MA June 2007 Prepared for Massachusetts Technology This update summarizes the monthly data results for the Thompson Island monitoring site in Boston Harbor, MA speed at Thompson Island for the month of June 2007, at the highest anemometer height of 40 m. #12;

  9. Data Update for Thompson Island, Boston Harbor, MA Prepared for

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    Data Update for Thompson Island, Boston Harbor, MA March 2008 Prepared for Massachusetts Technology This update summarizes the monthly data results for the Thompson Island monitoring site in Boston Harbor, MA is a graph of wind speed at Thompson Island for the month of March 2008, at the highest anemometer height

  10. Data Update for Thompson Island, Boston Harbor, MA Prepared for

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    Data Update for Thompson Island, Boston Harbor, MA June 2005 Prepared for Massachusetts Technology This update summarizes the monthly data results for the Thompson Island monitoring site in Boston Harbor, MA at Thompson Island for the month of June 2005, at the highest anemometer height of 40 m. Thompson Island Wind

  11. Data Update for Thompson Island, Boston Harbor, MA Prepared for

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    Data Update for Thompson Island, Boston Harbor, MA July 2008 Prepared for Massachusetts Technology This update summarizes the monthly data results for the Thompson Island monitoring site in Boston Harbor, MA to the sensor cables. Monthly Data Time Series Seen below is a graph of wind speed at Thompson Island

  12. Data Update for Thompson Island, Boston Harbor, MA Prepared for

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    Data Update for Thompson Island, Boston Harbor, MA July 2005 Prepared for Massachusetts Technology This update summarizes the monthly data results for the Thompson Island monitoring site in Boston Harbor, MA Series #12;Seen below is a graph of wind speed at Thompson Island for the month of July 2005

  13. Plans, Updates, Regulatory Documents

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

    Stewardship Environmental Protection Obeying Environmental Laws Individual Permit Documents Individual Permit: Plans, Updates, Regulatory Documents1335769200000Plans...

  14. QUALITATIVE UPDATED DISCUSSION OF ATLANTIC BASIN SEASONAL HURRICANE ACTIVITY FOR 2012

    E-Print Network [OSTI]

    Gray, William

    QUALITATIVE UPDATED DISCUSSION OF ATLANTIC BASIN SEASONAL HURRICANE ACTIVITY FOR 2012 We anticipate that the 2012 Atlantic basin hurricane season will have reduced activity compared with the 1981 hurricane season. Our first quantitative forecast for 2012 will be issued on Wednesday, April 4. (as of 21

  15. RETI Phase 1B Final Report Update NET SHORT RECALCULATION AND NEW PV ASSUMPTIONS

    E-Print Network [OSTI]

    RETI Phase 1B Final Report Update NET SHORT RECALCULATION AND NEW PV ASSUMPTIONS With Revisions distributed photovoltaic (PV) installations in the Report is unclear and perhaps misleading. At the direction-generation is required. The CEC forecast assumed that 1,082 GWh will be self-generated by consumers from new PV

  16. How predictable is technological progress?

    E-Print Network [OSTI]

    Farmer, J Doyne

    2015-01-01T23:59:59.000Z

    Recently it has become clear that many technologies follow a generalized version of Moore's law, i.e. costs tend to drop exponentially, at different rates that depend on the technology. Here we formulate Moore's law as a time series model and apply it to historical data on 53 technologies. Under the simple assumption of a correlated geometric random walk we derive a closed form expression approximating the distribution of forecast errors as a function of time. Based on hind-casting experiments we show that it is possible to collapse the forecast errors for many different technologies at many time horizons onto the same universal distribution. As a practical demonstration we make distributional forecasts at different time horizons for solar photovoltaic modules, and show how our method can be used to estimate the probability that a given technology will outperform another technology at a given point in the future.

  17. BETO Announces Updated Multi-Year Program Plan: November 2014...

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

    Bioenergy Technologies Office is pleased to announce the release of a newly updated Multi-Year Program Plan (MYPP). This MYPP sets forth the goals and structure of the Bioenergy...

  18. Federal Procurement of Energy-Efficient Products January 2013 Update

    Broader source: Energy.gov [DOE]

    Welcome to the seventh issue of Federal Energy-Efficient Product Procurement! This bi-monthly update helps Federal procurement officials, facility managers, and others remain up to date on events, training, technology, and changes to acquisition requirements.

  19. Department of Mechanical and Aerospace Engineering Updated: Spring 2012

    E-Print Network [OSTI]

    Krstic, Miroslav

    Department of Mechanical and Aerospace Engineering Updated: Spring 2012 MECHANICAL ENGINEERING TECHNICAL ELECTIVES Mechanical Engineering Majors are required to complete four (4) Technical Electives Century Energy Technologies II MAE 135 Computational Mechanics MAE 180A Spacecraft Guidance MAE 181 Space

  20. NREL: Transmission Grid Integration - Forecasting

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's Possible for Renewable Energy: Grid IntegrationReport AvailableForecasting NREL researchers use

  1. Updates 11/02/2013 DEANNA SCHULTZ

    E-Print Network [OSTI]

    Wu, Mingshen

    Updates 11/02/2013 DEANNA SCHULTZ Office location: 225B Comm Tech * Office phone: 715-232-5449 * Email: schultzdea@uwstout.edu EDUCATION Ph.D., Education (emphasis in Community College Leadership Dissertation Chair: Sam Stern M.A., Educational Technology (non-thesis), University of Northern Iowa, July 1999

  2. Packaging effects: operating frequency, power, complexity, reliability, and cost The packaging challenge is too keep up with the demands of forecasted silicon

    E-Print Network [OSTI]

    Patel, Chintan

    Packaging effects: operating frequency, power, complexity, reliability, and cost The packaging challenge is too keep up with the demands of forecasted silicon technology and forecasted cost targets. Low performance (servers, avionics, supercomputers) Harsh (under the hood and hostile environments) #12;power

  3. Funding Opportunity Announcement for Wind Forecasting Improvement...

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

    collects data on a variety of physical processes that impact the wind forecasts used by wind farms, system operators and other industry professionals. By having access to...

  4. Upcoming Funding Opportunity for Wind Forecasting Improvement...

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

    collects data on a variety of physical processes that impact the wind forecasts used by wind farms, system operators and other industry professionals. By having access to...

  5. Solid low-level waste forecasting guide

    SciTech Connect (OSTI)

    Templeton, K.J.; Dirks, L.L.

    1995-03-01T23:59:59.000Z

    Guidance for forecasting solid low-level waste (LLW) on a site-wide basis is described in this document. Forecasting is defined as an approach for collecting information about future waste receipts. The forecasting approach discussed in this document is based solely on hanford`s experience within the last six years. Hanford`s forecasting technique is not a statistical forecast based upon past receipts. Due to waste generator mission changes, startup of new facilities, and waste generator uncertainties, statistical methods have proven to be inadequate for the site. It is recommended that an approach similar to Hanford`s annual forecasting strategy be implemented at each US Department of Energy (DOE) installation to ensure that forecast data are collected in a consistent manner across the DOE complex. Hanford`s forecasting strategy consists of a forecast cycle that can take 12 to 30 months to complete. The duration of the cycle depends on the number of LLW generators and staff experience; however, the duration has been reduced with each new cycle. Several uncertainties are associated with collecting data about future waste receipts. Volume, shipping schedule, and characterization data are often reported as estimates with some level of uncertainty. At Hanford, several methods have been implemented to capture the level of uncertainty. Collection of a maximum and minimum volume range has been implemented as well as questionnaires to assess the relative certainty in the requested data.

  6. Geothermal wells: a forecast of drilling activity

    SciTech Connect (OSTI)

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

    1981-07-01T23:59:59.000Z

    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.

  7. Online Forecast Combination for Dependent Heterogeneous Data

    E-Print Network [OSTI]

    Sancetta, Alessio

    the single individual forecasts. Several studies have shown that combining forecasts can be a useful hedge against structural breaks, and forecast combinations are often more stable than single forecasts (e.g. Hendry and Clements, 2004, Stock and Watson, 2004... in expectations. Hence, we have the following. Corollary 4 Suppose maxt?T kl (Yt, hwt,Xti)kr ? A taking expectation on the left hand side, adding 2A ? T and setting ? = 0 in mT (?), i.e. TX t=1 E [lt (wt)? lt (ut...

  8. The Value of Wind Power Forecasting

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

    Wind Power Forecasting Preprint Debra Lew and Michael Milligan National Renewable Energy Laboratory Gary Jordan and Richard Piwko GE Energy Presented at the 91 st American...

  9. U-M Construction Forecast December 15, 2011 U-M Construction Forecast

    E-Print Network [OSTI]

    Kamat, Vineet R.

    U-M Construction Forecast December 15, 2011 U-M Construction Forecast Spring ­ Fall 2012 As of December 15, 2011 Prepared by AEC Preliminary & Advisory #12;U-M Construction Forecast December 15, 2011 Overview · Campus by campus · Snapshot in time ­ Not all projects · Construction coordination efforts

  10. TRANSPORTATION ENERGY FORECASTS FOR THE 2007 INTEGRATED ENERGY

    E-Print Network [OSTI]

    has developed longterm forecasts of transportation energy demand as well as projected ranges of transportation fuel and crude oil import requirements. The transportation energy demand forecasts makeCALIFORNIA ENERGY COMMISSION TRANSPORTATION ENERGY FORECASTS FOR THE 2007 INTEGRATED ENERGY POLICY

  11. Dynamic Filtering and Mining Triggers in Mesoscale Meteorology Forecasting

    E-Print Network [OSTI]

    Plale, Beth

    Dynamic Filtering and Mining Triggers in Mesoscale Meteorology Forecasting Nithya N. Vijayakumar {rramachandran, xli}@itsc.uah.edu Abstract-- Mesoscale meteorology forecasting as a data driven application Triggers, Data Mining, Stream Processing, Meteorology Forecasting I. INTRODUCTION Mesoscale meteorologists

  12. Power Purchase Agreements Update

    Broader source: Energy.gov [DOE]

    Presentation covers an update on power purchase agreements and is given at the Spring 2011 Federal Utility Partnership Working Group (FUPWG) meeting.

  13. Electricity Monthly Update

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

    Electricity Monthly Update Explained Highlights The Highlights page features in the center a short article about a major event or an informative topic. The left column contains...

  14. TINSSL Update | Department of Energy

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

    an electronic newsletter designed to help TINSSL members keep up to date on the latest SSL news and events. TINSSL Update, May 2014 TINSSL Update, March 2014 TINSSL Update,...

  15. 1992 five year battery forecast

    SciTech Connect (OSTI)

    Amistadi, D.

    1992-12-01T23:59:59.000Z

    Five-year trends for automotive and industrial batteries are projected. Topic covered include: SLI shipments; lead consumption; automotive batteries (5-year annual growth rates); industrial batteries (standby power and motive power); estimated average battery life by area/country for 1989; US motor vehicle registrations; replacement battery shipments; potential lead consumption in electric vehicles; BCI recycling rates for lead-acid batteries; US average car/light truck battery life; channels of distribution; replacement battery inventory end July; 2nd US battery shipment forecast.

  16. Forecast Energy | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnual SiteofEvaluating A PotentialJumpGermanFife Energy Park atFisiaFlorida:Forecast Energy Jump to:

  17. Agricultural and Resource Economics Update

    E-Print Network [OSTI]

    2011-01-01T23:59:59.000Z

    forecasting drought effects on agriculture based on waterEffects of 2009 Drought on San Joaquin Valley Agriculture

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

    Office of Environmental Management (EM)

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

  19. Forecasting of Solar Radiation Detlev Heinemann, Elke Lorenz, Marco Girodo

    E-Print Network [OSTI]

    Heinemann, Detlev

    Forecasting of Solar Radiation Detlev Heinemann, Elke Lorenz, Marco Girodo Oldenburg University have been presented more than twenty years ago (Jensenius, 1981), when daily solar radiation forecasts

  20. Alternative methods for forecasting GDP Dominique Gugan

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    analysis. Better forecast performance for macroeconomic variables will lead to Paris School of Economics the speed of computers that can develop search algorithms from appropriate selection criteria, Devroye. 1 Introduction Forecasting macroeconomic variables such as GDP and inflation play an important role

  1. A NEW APPROACH FOR EVALUATING ECONOMIC FORECASTS

    E-Print Network [OSTI]

    Vertes, Akos

    APPROACH FOR EVALUATING ECONOMIC FORECASTS Tara M. Sinclair , H.O. Stekler, and Warren Carnow Department of Economics The George Washington University Monroe Hall #340 2115 G Street NW Washington, DC 20052 JEL Codes, Mahalanobis Distance Abstract This paper presents a new approach to evaluating multiple economic forecasts

  2. 2013 Midyear Economic Forecast Sponsorship Opportunity

    E-Print Network [OSTI]

    de Lijser, Peter

    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 and Economics at California State University, Fullerton, the largest accredited business school in California

  3. Dynamic Algorithm for Space Weather Forecasting System

    E-Print Network [OSTI]

    Fischer, Luke D.

    2011-08-08T23:59:59.000Z

    /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...

  4. CALIFORNIA ENERGY DEMAND 20142024 REVISED FORECAST

    E-Print Network [OSTI]

    CALIFORNIA ENERGY DEMAND 2014­2024 REVISED FORECAST Volume 1: Statewide Electricity Demand, EndUser Natural Gas Demand, and Energy Efficiency SEPTEMBER 2013 CEC2002013004SDV1REV CALIFORNIA The California Energy Demand 2014 ­ 2024 Revised Forecast, Volume 1: Statewide Electricity Demand and Methods

  5. 1993 Pacific Northwest Loads and Resources Study, Pacific Northwest Economic and Electricity Use Forecast, Technical Appendix: Volume 1.

    SciTech Connect (OSTI)

    United States. Bonneville Power Administration.

    1994-02-01T23:59:59.000Z

    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.

  6. Soil washing technology evaluation

    SciTech Connect (OSTI)

    Suer, A.

    1995-04-01T23:59:59.000Z

    Environmental Restoration Engineering (ERE) continues to review innovative, efficient, and cost effective technologies for SRS soil and/or groundwater remediation. As part of this effort, this technical evaluation provides review and the latest information on the technology for SRS soil remediation. Additional technology evaluation reports will be issued periodically to update these reports. The purpose of this report is to review the soil washing technology and its potential application to SRS soil remediation. To assess whether the Soil Washing technology is a viable option for SRS soil remediation, it is necessary to review the technology/process, technology advantages/limitations, performance, applications, and cost analysis.

  7. Powering Up With Space-Time Wind Forecasting Amanda S. HERING and Marc G. GENTON

    E-Print Network [OSTI]

    Genton, Marc G.

    Powering Up With Space-Time Wind Forecasting Amanda S. HERING and Marc G. GENTON The technology to harvest electricity from wind energy is now advanced enough to make entire cities powered by it a reality be more realistically assessed with a loss measure that depends upon the power curve relating wind speed

  8. NAC Technology and Innovation Committee Meeting Report

    E-Print Network [OSTI]

    Christian, Eric

    NAC Technology and Innovation Committee Meeting Report Esther Dyson Chair, NAC Technology and Innovation Committee August 6, 2010 0 #12;Technology and Innovation Agenda Aug. 3rd Meeting · OCT Update ­ R programs ­ P. Desai · OCT/ESMD Technology Coordination ­ J. Reuther · Overview of ESMD New Technology

  9. CALIFORNIA ENERGY DEMAND 2008-2018 STAFF DRAFT FORECAST

    E-Print Network [OSTI]

    procurement process at the California Public Utilities Commission. This forecast was produced with the Energy Commission demand forecast models. Both the staff draft energy consumption and peak forecasts are slightly and commercial sectors. Keywords Electricity demand, electricity consumption, demand forecast, weather

  10. CALIFORNIA ENERGY DEMAND 2008-2018 STAFF REVISED FORECAST

    E-Print Network [OSTI]

    and water pumping sectors. Mark Ciminelli forecasted energy for transportation, communication and utilities. Mitch Tian prepared the peak demand forecast. Ted Dang prepared the historic energy consumption data at the California Public Utilities Commission. This forecast was produced with the Energy Commission demand forecast

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

    SciTech Connect (OSTI)

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

    2011-10-01T23:59:59.000Z

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

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

    SciTech Connect (OSTI)

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

    2013-10-01T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Islam, M. Saif

    Page 1 Solar Resource and Forecasting QuestionnaireSolar Resource and Forecasting QuestionnaireSolar Resource and Forecasting QuestionnaireSolar Resource and Forecasting Questionnaire As someone who is familiar with solar energy issues, we hope that you will take a few moments to answer this short survey

  14. PSO (FU 2101) Ensemble-forecasts for wind power

    E-Print Network [OSTI]

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

  15. Federal Geothermal Research Program Update - Fiscal Year 2001

    SciTech Connect (OSTI)

    Laney, P.T.

    2002-08-31T23:59:59.000Z

    This Federal Geothermal Program Research Update reviews the specific objectives, status, and accomplishments of DOE's Geothermal Program for Federal Fiscal Year (FY) 2001. The information contained in this Research Update illustrates how the mission and goals of the Office of Geothermal Technologies are reflected in each R&D activity. The Geothermal Program, from its guiding principles to the most detailed research activities, is focused on expanding the use of geothermal energy.

  16. Why Models Don%3CU%2B2019%3Et Forecast.

    SciTech Connect (OSTI)

    McNamara, Laura A.

    2010-08-01T23:59:59.000Z

    The title of this paper, Why Models Don't Forecast, has a deceptively simple answer: models don't forecast because people forecast. Yet this statement has significant implications for computational social modeling and simulation in national security decision making. Specifically, it points to the need for robust approaches to the problem of how people and organizations develop, deploy, and use computational modeling and simulation technologies. In the next twenty or so pages, I argue that the challenge of evaluating computational social modeling and simulation technologies extends far beyond verification and validation, and should include the relationship between a simulation technology and the people and organizations using it. This challenge of evaluation is not just one of usability and usefulness for technologies, but extends to the assessment of how new modeling and simulation technologies shape human and organizational judgment. The robust and systematic evaluation of organizational decision making processes, and the role of computational modeling and simulation technologies therein, is a critical problem for the organizations who promote, fund, develop, and seek to use computational social science tools, methods, and techniques in high-consequence decision making.

  17. Power Technologies Energy Data Book - Fourth Edition

    SciTech Connect (OSTI)

    Aabakken, J.

    2006-08-01T23:59:59.000Z

    This report, prepared by NREL's Strategic Energy Analysis Center, includes up-to-date information on power technologies, including complete technology profiles. The data book also contains charts on electricity restructuring, power technology forecasts, electricity supply, electricity capability, electricity generation, electricity demand, prices, economic indicators, environmental indicators, and conversion factors.

  18. Navy Mobility Fuels Forecasting System Phase 4 report

    SciTech Connect (OSTI)

    Das, S.; Hadder, G.R.; Leiby, P.N.; Lee, R.; Davis, R.M.

    1988-09-01T23:59:59.000Z

    The Department of Navy's Maritime Strategy is designed to maintain military readiness and the ability to operate in all major theaters of the world. Mobility fuels required for sea, air, and land operations are vital components of the Navy's peacetime and wartime strategies. The purpose of the Navy's Mobility Fuels Technology Program is to understand fuel supply and fuel property impacts on Navy equipment performance and fleet readiness and operations. Oak Ridge National Laboratory (ORNL) has assisted the Department of Navy in developing and testing a methodology for forecasting mobility fuel availability, quality, and relative price, as well as evaluating options to increase fuel supplies during world oil supply disruptions. Publicly available models developed by the Energy Information Administration of the Department of Energy were selected as the foundation of the Navy Mobility Fuels Forecasting System (NMFFS). The NMFFS was enhanced as ORNL reviewed data on world oil reserves, production and prices, trends in crude oil and refined product quality, and changes in refinery process technology. The system was used to analyze the availability, quality, and relative price of military fuels that could be produced in several domestic and foreign refining regions under Business-As-Usual (BAU) and two hypothetical world crude oil disruption scenarios in the year 1995. 25 refs., 11 figs., 29 tabs.

  19. FUPWG Spring 2010 Providence: Washington Update | Department...

    Energy Savers [EERE]

    Spring 2010 Providence: Washington Update FUPWG Spring 2010 Providence: Washington Update Presentation covers an update on Washington and is given at the Spring 2010 Federal...

  20. PPA Tools and Update

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

    PPA Tools & Update Chandra Shah chandra.shah@nel.gov October 21, 2010 2 | FEDERAL ENERGY MANAGEMENT PROGRAM femp.energy.gov * PPA (15 minutes) - Resources - Discussion * URESC (15...

  1. Version: Updated on 8/2/2013 UNC Charlotte reserves the right to update these recommendations at any time. UNC Charlotte Distance Education Technical Recommendations

    E-Print Network [OSTI]

    Howitt, Ivan

    Version: Updated on 8/2/2013 UNC Charlotte reserves the right to update these recommendations at any time. UNC Charlotte Distance Education Technical Recommendations It is important that all distance education students have convenient access to appropriate technology. To get the most out of your online

  2. CALIFORNIA ENERGY DEMAND 20142024 FINAL FORECAST

    E-Print Network [OSTI]

    supervised data preparation. Steven Mac and Keith O'Brien prepared the historical energy consumption data. Nahid Movassagh forecasted consumption for the agriculture and water pumping sectors. Cynthia Rogers generation, conservation, energy efficiency, climate zone, investorowned, public, utilities, additional

  3. Wind Speed Forecasting for Power System Operation 

    E-Print Network [OSTI]

    Zhu, Xinxin

    2013-07-22T23:59:59.000Z

    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...

  4. STAFF FORECAST: AVERAGE RETAIL ELECTRICITY PRICES

    E-Print Network [OSTI]

    CALIFORNIA ENERGY COMMISSION STAFF FORECAST: AVERAGE RETAIL ELECTRICITY PRICES 2005 TO 2018 Mignon Marks Principal Author Mignon Marks Project Manager David Ashuckian Manager ELECTRICITY ANALYSIS OFFICE Sylvia Bender Acting Deputy Director ELECTRICITY SUPPLY DIVISION B.B. Blevins Executive Director

  5. Wind Speed Forecasting for Power System Operation

    E-Print Network [OSTI]

    Zhu, Xinxin

    2013-07-22T23:59:59.000Z

    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...

  6. Potential Economic Value of Seasonal Hurricane Forecasts

    E-Print Network [OSTI]

    Emanuel, Kerry Andrew

    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 ...

  7. Text-Alternative Version LED Lighting Forecast

    Broader source: Energy.gov [DOE]

    The DOE report Energy Savings Forecast of Solid-State Lighting in General Illumination Applications estimates the energy savings of LED white-light sources over the analysis period of 2013 to 2030....

  8. Essays in International Macroeconomics and Forecasting

    E-Print Network [OSTI]

    Bejarano Rojas, Jesus Antonio

    2012-10-19T23:59:59.000Z

    This dissertation contains three essays in international macroeconomics and financial time series forecasting. In the first essay, I show, numerically, that a two-country New-Keynesian Sticky Prices model, driven by monetary and productivity shocks...

  9. Hewlett Packard Technology for Teaching grant update

    E-Print Network [OSTI]

    Beaton, Catherine

    was used. #12;Keylogger Keystroke logging (often called keylogging) is a method of capturing and recording

  10. Office Lighting: Title 24 & Technology Update

    E-Print Network [OSTI]

    California at Davis, University of

    % of annual electricity use. 7/31/2014 BACKGROUND AND POLICYSLIDE 7 California Energy Consumption Database of reasonable behavior. Neither Southern California Edison (SCE) or Pacific Gas and Electric Company (PG&E), nor, manufacturers, occupants, builders, designers, researchers, academicians, and government agencies. Mission

  11. A Quarterly Update of Available Technologies

    E-Print Network [OSTI]

    ............................................ 10 Energy & Natural Resource Management ............................ 13 Featured at Sandia: Cutting Edge Open Source Software .. 15 Introduction of Radiation Detection Materials Security Risk Assessment Methodologies (RAM) TacNet Tracker 3D Structured

  12. Clean Coal Technology Programs: Program Update 2007

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office511041clothAdvanced Materials Advanced. C o w l i t z CPlasma0Yellowstone-Teton Clean Energy

  13. Hydrogen and Fuel Cell Technologies Update

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't YourTransport(Fact Sheet), GeothermalGridHYDROGEND D eReviewEducation » ForFuelHydrogen

  14. Nambe Pueblo Water Budget and Forecasting model.

    SciTech Connect (OSTI)

    Brainard, James Robert

    2009-10-01T23:59:59.000Z

    This report documents The Nambe Pueblo Water Budget and Water Forecasting model. The model has been constructed using Powersim Studio (PS), a software package designed to investigate complex systems where flows and accumulations are central to the system. Here PS has been used as a platform for modeling various aspects of Nambe Pueblo's current and future water use. The model contains three major components, the Water Forecast Component, Irrigation Scheduling Component, and the Reservoir Model Component. In each of the components, the user can change variables to investigate the impacts of water management scenarios on future water use. The Water Forecast Component includes forecasting for industrial, commercial, and livestock use. Domestic demand is also forecasted based on user specified current population, population growth rates, and per capita water consumption. Irrigation efficiencies are quantified in the Irrigated Agriculture component using critical information concerning diversion rates, acreages, ditch dimensions and seepage rates. Results from this section are used in the Water Demand Forecast, Irrigation Scheduling, and the Reservoir Model components. The Reservoir Component contains two sections, (1) Storage and Inflow Accumulations by Categories and (2) Release, Diversion and Shortages. Results from both sections are derived from the calibrated Nambe Reservoir model where historic, pre-dam or above dam USGS stream flow data is fed into the model and releases are calculated.

  15. Sandia Energy - Brief History of Artificial Lighting Technology

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

    Emitting Diodes (LEDs) for General Illumination, Update 2002, An OIDA Technology Roadmap" (co-sponsored by the U.S. Department of Energy, the National Electrical...

  16. Comparison of AEO 2009 Natural Gas Price Forecast to NYMEX Futures Prices

    E-Print Network [OSTI]

    Bolinger, Mark

    2009-01-01T23:59:59.000Z

    gas price forecasts with contemporaneous natural gas pricesreference-case natural gas price forecast, and that have notof AEO 2009 Natural Gas Price Forecast to NYMEX Futures

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

    E-Print Network [OSTI]

    Bolinger, Mark; Wiser, Ryan

    2005-01-01T23:59:59.000Z

    Gas Price Forecast W ith natural gas prices significantlyof AEO 2006 Natural Gas Price Forecast to NYMEX Futurescase long-term natural gas price forecasts from the AEO

  18. Comparing Price Forecast Accuracy of Natural Gas Models and Futures Markets

    E-Print Network [OSTI]

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

    2005-01-01T23:59:59.000Z

    to accurately forecast natural gas prices. Many policyseek alternative methods to forecast natural gas prices. Thethe accuracy of forecasts for natural gas prices as reported

  19. Comparison of AEO 2008 Natural Gas Price Forecast to NYMEX Futures Prices

    E-Print Network [OSTI]

    Bolinger, Mark

    2008-01-01T23:59:59.000Z

    gas price forecasts with contemporaneous natural gas pricesreference-case natural gas price forecast, and that have notof AEO 2008 Natural Gas Price Forecast to NYMEX Futures

  20. Comparison of AEO 2010 Natural Gas Price Forecast to NYMEX Futures Prices

    E-Print Network [OSTI]

    Bolinger, Mark A.

    2010-01-01T23:59:59.000Z

    the base-case natural gas price forecast, but to alsogas price forecasts with contemporaneous natural gas pricesof AEO 2010 Natural Gas Price Forecast to NYMEX Futures

  1. Comparison of AEO 2007 Natural Gas Price Forecast to NYMEX Futures Prices

    E-Print Network [OSTI]

    Bolinger, Mark; Wiser, Ryan

    2006-01-01T23:59:59.000Z

    Natural Gas Price Forecast Although natural gas prices areof AEO 2007 Natural Gas Price Forecast to NYMEX Futurescase long-term natural gas price forecasts from the AEO

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

    SciTech Connect (OSTI)

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

    2014-05-01T23:59:59.000Z

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

  3. 1994 Solid waste forecast container volume summary

    SciTech Connect (OSTI)

    Templeton, K.J.; Clary, J.L.

    1994-09-01T23:59:59.000Z

    This report describes a 30-year forecast of the solid waste volumes by container type. The volumes described are low-level mixed waste (LLMW) and transuranic/transuranic mixed (TRU/TRUM) waste. These volumes and their associated container types will be generated or received at the US Department of Energy Hanford Site for storage, treatment, and disposal at Westinghouse Hanford Company`s Solid Waste Operations Complex (SWOC) during a 30-year period from FY 1994 through FY 2023. The forecast data for the 30-year period indicates that approximately 307,150 m{sup 3} of LLMW and TRU/TRUM waste will be managed by the SWOC. The main container type for this waste is 55-gallon drums, which will be used to ship 36% of the LLMW and TRU/TRUM waste. The main waste generator forecasting the use of 55-gallon drums is Past Practice Remediation. This waste will be generated by the Environmental Restoration Program during remediation of Hanford`s past practice sites. Although Past Practice Remediation is the primary generator of 55-gallon drums, most waste generators are planning to ship some percentage of their waste in 55-gallon drums. Long-length equipment containers (LECs) are forecasted to contain 32% of the LLMW and TRU/TRUM waste. The main waste generator forecasting the use of LECs is the Long-Length Equipment waste generator, which is responsible for retrieving contaminated long-length equipment from the tank farms. Boxes are forecasted to contain 21% of the waste. These containers are primarily forecasted for use by the Environmental Restoration Operations--D&D of Surplus Facilities waste generator. This waste generator is responsible for the solid waste generated during decontamination and decommissioning (D&D) of the facilities currently on the Surplus Facilities Program Plan. The remaining LLMW and TRU/TRUM waste volume is planned to be shipped in casks and other miscellaneous containers.

  4. Academy Member Annual Update Report 1Academy Member Update Report

    E-Print Network [OSTI]

    Academy Member Annual Update Report 1Academy Member Update Report The annual update report is an important activity associated with active membership in the Academy. These reports are due annually@lsuhsc.edu or call 504-568-2140 if you have other questions. Why an annual report? As an Academy member

  5. Richmond Bay Campus: Project Update

    E-Print Network [OSTI]

    Lee, Jason R.

    Coordinate with City of Richmond South Shoreline Area planning #12;Richmond Bay Campus Vision A stateRichmond Bay Campus: Project Update Prepared for the Richmond City Council October 1, 2013 #12 and UCB · City of Richmond Updates · Summary · Questions & Answers #12;LBNL Project Update #12;University

  6. Information Updates: Position/Title

    E-Print Network [OSTI]

    Sheridan, Jennifer

    Information Updates: Name: Position/Title: Business Mailing Address: Home Mailing Address: Phone of nurse involvement and patient education. She is an active nurse leader that brings thoughtful discussion be a chapter update for upcoming future events and plans for the future. Don't miss this exciting update! Beta

  7. CAC Update: HFBR and BGRR

    E-Print Network [OSTI]

    Homes, Christopher C.

    rod blades and casks has been installed and tested #12;HFBR Update #12;HFBR Update Personnel have been on procedures for completing the work · Drills and dry-runs have been conducted to develop worker proficiency under normal and off-normal conditions #12;HFBR Update Transportation cask Certificates of Compliance

  8. Sixth Northwest Conservation and Electric Power Plan Appendix B: Economic Forecast

    E-Print Network [OSTI]

    Sixth Northwest Conservation and Electric Power Plan Appendix B: Economic Forecast Role of the Economic Forecast..................................................................................................................................... 2 Economic Growth Assumptions

  9. Viability, Development, and Reliability Assessment of Coupled Coastal Forecasting Systems

    E-Print Network [OSTI]

    Singhal, Gaurav

    2012-10-19T23:59:59.000Z

    disaster, Cook Inlet (CI) and Prince William Sound (PWS) are regions that suffer from a lack of accurate wave forecast information. This dissertation develops high- resolution integrated wave forecasting schemes for these regions in order to meet...

  10. Potential to Improve Forecasting Accuracy: Advances in Supply Chain Management

    E-Print Network [OSTI]

    Datta, Shoumen

    2008-07-31T23:59:59.000Z

    Forecasting is a necessity almost in any operation. However, the tools of forecasting are still primitive in view of the great strides made by research and the increasing abundance of data made possible by automatic ...

  11. Calibrated Probabilistic Mesoscale Weather Field Forecasting: The Geostatistical Output Perturbation

    E-Print Network [OSTI]

    Washington at Seattle, University of

    Calibrated Probabilistic Mesoscale Weather Field Forecasting: The Geostatistical Output. This is typically not feasible for mesoscale weather prediction carried out locally by organizations without by simulating realizations of the geostatistical model. The method is applied to 48-hour mesoscale forecasts

  12. The effect of multinationality on management earnings forecasts

    E-Print Network [OSTI]

    Runyan, Bruce Wayne

    2005-08-29T23:59:59.000Z

    This study examines the relationship between a firm??s degree of multinationality and its managers?? earnings forecasts. Firms with a high degree of multinationality are subject to greater uncertainty regarding earnings forecasts due...

  13. Project Profile: Forecasting and Influencing Technological Progress in

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page onYouTube YouTube Note: Since the.pdfBreakingMay 2015 < prev next >PresentationsNow LEADER WebCampaigns tois PVSolar

  14. Biodiesel Research Update

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

    Office of FreedomCAR and Vehicle Technologies Fuels Technology Subprogram U.S. Biodiesel Feedstock Supply Analysis * 1.7 billion annual gallon existing resource * Additional...

  15. WECC and Peak Update

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

    WECC and Peak Update Transmission B O N N E V I L L E P O W E R A D M I N I S T R A T I O N Pre-decisional. For Discussion Purposes Only. WECC and Peak Background In the...

  16. RESEARCH UPDATE Ecology Division

    E-Print Network [OSTI]

    1 RESEARCH UPDATE Ecology Division Biotype has changed its name to Ecotype! Following the re-organisation of Forest Research into five science Divisions and three Support Divisions, the former Woodland Ecology Branches to form the new Ecology Division. We decided to give the divisional newsletter a new name (and

  17. Wind Power Forecasting Error Distributions over Multiple Timescales (Presentation)

    SciTech Connect (OSTI)

    Hodge, B. M.; Milligan, M.

    2011-07-01T23:59:59.000Z

    This presentation presents some statistical analysis of wind power forecast errors and error distributions, with examples using ERCOT data.

  18. Hybrid & electric vehicle technology and its market feasibility

    E-Print Network [OSTI]

    Jeon, Sang Yeob

    2010-01-01T23:59:59.000Z

    In this thesis, Hybrid Electric Vehicles (HEV), Plug-In Hybrid Electric Vehicle (PHEV) and Electric Vehicle (EV) technology and their sales forecasts are discussed. First, the current limitations and the future potential ...

  19. Development and Update of Models for Long-Term Energy and GHG...

    Energy Savers [EERE]

    and Update of Models for Long-Term Energy and GHG Impact Evaluation 2013 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Program Annual Merit Review and Peer...

  20. Webinar: DOE Updates JOBS and Economic Impacts of Fuel Cells (JOBS FC1.1) Model

    Broader source: Energy.gov [DOE]

    Video recording of the Fuel Cell Technologies Office webinar, DOE Updates JOBS and Economic Impacts of Fuel Cells (JOBS FC1.1) Model, originally presented on December 11, 2012.

  1. Weighted Parametric Operational Hydrology Forecasting Thomas E. Croley II1

    E-Print Network [OSTI]

    1 Weighted Parametric Operational Hydrology Forecasting Thomas E. Croley II1 1 Great Lakes forecasts in operational hydrology builds a sample of possibilities for the future, of climate series from-parametric method can be extended into a new weighted parametric hydrological forecasting technique to allow

  2. A BAYESIAN MODEL COMMITTEE APPROACH TO FORECASTING GLOBAL SOLAR RADIATION

    E-Print Network [OSTI]

    Boyer, Edmond

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

  3. FORECASTING SOLAR RADIATION PRELIMINARY EVALUATION OF AN APPROACH

    E-Print Network [OSTI]

    Perez, Richard R.

    FORECASTING SOLAR RADIATION -- PRELIMINARY EVALUATION OF AN APPROACH BASED UPON THE NATIONAL, and undertake a preliminary evaluation of, a simple solar radiation forecast model using sky cover predictions forecasts is 0.05o in latitude and longitude. Solar Radiation model: The model presented in this paper

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

    E-Print Network [OSTI]

    Povinelli, Richard J.

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

  5. Univariate Modeling and Forecasting of Monthly Energy Demand Time Series

    E-Print Network [OSTI]

    Abdel-Aal, Radwan E.

    Univariate Modeling and Forecasting of Monthly Energy Demand Time Series Using Abductive and Neural dedicated models to forecast the 12 individual months directly. Results indicate better performance is superior to naĂŻve forecasts based on persistence and seasonality, and is better than results quoted

  6. TRANSPORTATION ENERGY FORECASTS FOR THE 2007 INTEGRATED ENERGY

    E-Print Network [OSTI]

    requirements. The transportation energy demand forecasts make assumptions about fuel price forecastsCALIFORNIA ENERGY COMMISSION TRANSPORTATION ENERGY FORECASTS FOR THE 2007 INTEGRATED ENERGY POLICY ENERGY COMMISSION Gordon Schremp, Jim Page, and Malachi Weng-Gutierrez Principal Authors Jim Page Project

  7. PSO (FU 2101) Ensemble-forecasts for wind power

    E-Print Network [OSTI]

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

  8. PHYSICAL REVIEW E 89, 042807 (2014) Network risk and forecasting power in phase-flipping dynamical networks

    E-Print Network [OSTI]

    Stanley, H. Eugene

    2014-01-01T23:59:59.000Z

    PHYSICAL REVIEW E 89, 042807 (2014) Network risk and forecasting power in phase-flipping dynamical China University of Science and Technology, Shanghai 200237, China 8 Center for Phononics and Thermal Energy Science, School of Physics Science and Engineering, Tongji University, Shanghai 200092, People

  9. Technology Commercialization Program 1991

    SciTech Connect (OSTI)

    Not Available

    1991-11-01T23:59:59.000Z

    This reference compilation describes the Technology Commercialization Program of the Department of Energy, Defense Programs. The compilation consists of two sections. Section 1, Plans and Procedures, describes the plans and procedures of the Defense Programs Technology Commercialization Program. The second section, Legislation and Policy, identifies legislation and policy related to the Program. The procedures for implementing statutory and regulatory requirements are evolving with time. This document will be periodically updated to reflect changes and new material.

  10. FACULTY OF TECHNOLOGY Heat Engineering Laboratory

    E-Print Network [OSTI]

    Zevenhoven, Ron

    FACULTY OF TECHNOLOGY Heat Engineering Laboratory Carbon dioxide sequestration by mineral - Carbon dioxide sequestration by mineral carbonation Literature review update 2005­2007 Johan Sipilä1 carbonation Literature review update 2005­2007 Johan Sipilä, Sebastian Teir and Ron Zevenhoven Report 2008

  11. Federal Geothermal Research Program Update Fiscal Year 1999

    SciTech Connect (OSTI)

    Not Available

    2004-02-01T23:59:59.000Z

    The Department of Energy (DOE) and its predecessors have conducted research and development (R&D) in geothermal energy since 1971. To develop the technology needed to harness the Nation's vast geothermal resources, DOE's Office of Geothermal and Wind Technologies oversees a network of national laboratories, industrial contractors, universities, and their subcontractors. The following mission and goal statements guide the overall activities of the Office of Geothermal and Wind Technologies. This Federal Geothermal Program Research Update reviews the specific objectives, status, and accomplishments of DOE's Geothermal Program for Federal Fiscal Year (FY) 1999. The information contained in this Research Update illustrates how the mission and goals of the Office of Geothermal and Wind Technologies are reflected in each R&D activity. The Geothermal Program, from its guiding principles to the most detailed research activities, is focused on expanding the use of geothermal energy.

  12. CALIFORNIA ENERGY DEMAND 20122022 FINAL FORECAST

    E-Print Network [OSTI]

    , Gary Occhiuzzo, and Keith O'Brien prepared the historical energy consumption data. Nahid Movassagh forecasted consumption for the agriculture and water pumping sectors. Don Schultz and Doug Kemmer developed. California Energy Commission, Electricity Supply Analysis Division. Publication Number: CEC2002012001CMFVI

  13. Modeling of Uncertainty in Wind Energy Forecast

    E-Print Network [OSTI]

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

  14. Issues in midterm analysis and forecasting 1998

    SciTech Connect (OSTI)

    NONE

    1998-07-01T23:59:59.000Z

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

  15. Segmenting Time Series for Weather Forecasting

    E-Print Network [OSTI]

    Sripada, Yaji

    for generating textual summaries. Our algorithm has been implemented in a weather forecast generation system. 1 presentation, aid human understanding of the underlying data sets. SUMTIME is a research project aiming turbines. In the domain of meteorology, time series data produced by numerical weather prediction (NWP

  16. Forecasting sudden changes in environmental pollution patterns

    E-Print Network [OSTI]

    Olascoaga, Maria Josefina

    Forecasting sudden changes in environmental pollution patterns MarĂ­a J. Olascoagaa,1 and George of Mexico in 2010. We present a methodology to predict major short-term changes in en- vironmental River's mouth in the Gulf of Mexico. The resulting fire could not be extinguished and the drilling rig

  17. New Concepts in Wind Power Forecasting Models

    E-Print Network [OSTI]

    Kemner, Ken

    New Concepts in Wind Power Forecasting Models Vladimiro Miranda, Ricardo Bessa, Joăo Gama, Guenter to the training of mappers such as neural networks to perform wind power prediction as a function of wind characteristics (mainly speed and direction) in wind parks connected to a power grid. Renyi's Entropy is combined

  18. CALIFORNIA ENERGY DEMAND 20142024 FINAL FORECAST

    E-Print Network [OSTI]

    CALIFORNIA ENERGY DEMAND 2014­2024 FINAL FORECAST Volume 1: Statewide Electricity Demand, EndUser Natural Gas Demand, and Energy Efficiency DECEMBER 2013 CEC2002013004SFV1 CALIFORNIA and expertise of numerous California Energy Commission staff members in the Demand Analysis Office. In addition

  19. SIMULATION AND FORECASTING IN INTERMODAL CONTAINER TERMINAL

    E-Print Network [OSTI]

    Gambardella, Luca Maria

    SIMULATION AND FORECASTING IN INTERMODAL CONTAINER TERMINAL Luca Maria Gambardella1 , Gianluca@idsia.ch 2 LCST, La Spezia Container Terminal, La Spezia (IT) 3 DSP, Data System & Planning sa, Manno (CH working in intermodal container terminals. INTRODUCTION The amount of work a container terminal deals

  20. Forecast Technical Document Felling and Removals

    E-Print Network [OSTI]

    of local investment and business planning. Timber volume production will be estimated at sub. Planning of operations. Control of the growing stock. Wider reporting (under UKWAS). The calculation fellings and removals are handled in the 2011 Production Forecast system. Tom Jenkins Robert Matthews Ewan

  1. Forecasting Turbulent Modes with Nonparametric Diffusion Models

    E-Print Network [OSTI]

    Tyrus Berry; John Harlim

    2015-01-27T23:59:59.000Z

    This paper presents a nonparametric diffusion modeling approach for forecasting partially observed noisy turbulent modes. The proposed forecast model uses a basis of smooth functions (constructed with the diffusion maps algorithm) to represent probability densities, so that the forecast model becomes a linear map in this basis. We estimate this linear map by exploiting a previously established rigorous connection between the discrete time shift map and the semi-group solution associated to the backward Kolmogorov equation. In order to smooth the noisy data, we apply diffusion maps to a delay embedding of the noisy data, which also helps to account for the interactions between the observed and unobserved modes. We show that this delay embedding biases the geometry of the data in a way which extracts the most predictable component of the dynamics. The resulting model approximates the semigroup solutions of the generator of the underlying dynamics in the limit of large data and in the observation noise limit. We will show numerical examples on a wide-range of well-studied turbulent modes, including the Fourier modes of the energy conserving Truncated Burgers-Hopf (TBH) model, the Lorenz-96 model in weakly chaotic to fully turbulent regimes, and the barotropic modes of a quasi-geostrophic model with baroclinic instabilities. In these examples, forecasting skills of the nonparametric diffusion model are compared to a wide-range of stochastic parametric modeling approaches, which account for the nonlinear interactions between the observed and unobserved modes with white and colored noises.

  2. Wholesale Electricity Price Forecast This appendix describes the wholesale electricity price forecast of the Fifth Northwest Power

    E-Print Network [OSTI]

    Wholesale Electricity Price Forecast This appendix describes the wholesale electricity price as traded on the wholesale, short-term (spot) market at the Mid-Columbia trading hub. This price represents noted. BASE CASE FORECAST The base case wholesale electricity price forecast uses the Council's medium

  3. Data Update for Thompson Island, Boston Harbor, MA Prepared for

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    Data Update for Thompson Island, Boston Harbor, MA May 2008 Prepared for Massachusetts Technology summarizes the monthly data results for the Thompson Island monitoring site in Boston Harbor, MA, at 42° 18 below is a graph of wind speed at Thompson Island for the month of May 2008, at the highest anemometer

  4. Data Update for Thompson Island, Boston Harbor, MA Prepared for

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    Data Update for Thompson Island, Boston Harbor, MA May 2007 Prepared for Massachusetts Technology summarizes the monthly data results for the Thompson Island monitoring site in Boston Harbor, MA, at 42° 18 speed at Thompson Island for the month of May 2007, at the highest anemometer height of 40 m. #12;

  5. Updating Small Generator Interconnection Procedures for New Market Conditions

    SciTech Connect (OSTI)

    Coddington, M.; Fox, K.; Stanfield, S.; Varnado, L.; Culley, T.; Sheehan, M.

    2012-12-01T23:59:59.000Z

    Federal and state regulators are faced with the challenge of keeping interconnection procedures updated against a backdrop of evolving technology, new codes and standards, and considerably transformed market conditions. This report is intended to educate policymakers and stakeholders on beneficial reforms that will keep interconnection processes efficient and cost-effective while maintaining a safe and reliable power system.

  6. Operational forecasting based on a modified Weather Research and Forecasting model

    SciTech Connect (OSTI)

    Lundquist, J; Glascoe, L; Obrecht, J

    2010-03-18T23:59:59.000Z

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

  7. Forecastability as a Design Criterion in Wind Resource Assessment: Preprint

    SciTech Connect (OSTI)

    Zhang, J.; Hodge, B. M.

    2014-04-01T23:59:59.000Z

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

  8. Energy Technologies on the Horizon (released in AEO2006)

    Reports and Publications (EIA)

    2006-01-01T23:59:59.000Z

    A key issue in mid-term forecasting is the representation of changing and developing technologies. How existing technologies will evolve, and what new technologies might emerge, cannot be known with certainty. The issue is of particular importance in Annual Energy Outlook 2006 (AEO), the first AEO with projections out to 2030.

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

    SciTech Connect (OSTI)

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

    1983-07-01T23:59:59.000Z

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

  10. Can Science and Technology Capacity be Measured?

    E-Print Network [OSTI]

    Wagner, Caroline S; Dutta, Arindum

    2015-01-01T23:59:59.000Z

    The ability of a nation to participate in the global knowledge economy depends to some extent on its capacities in science and technology. In an effort to assess the capacity of different countries in science and technology, this article updates a classification scheme developed by RAND to measure science and technology capacity for 150 countries of the world.

  11. Progress Update: TRU Waste Shipping

    ScienceCinema (OSTI)

    Cody, Tom

    2012-06-14T23:59:59.000Z

    A progress update at the Savannah River Site. A continued effort on shipping TRU waste to WIPP in Carlsbad, New Mexico.

  12. Agricultural and Resource Economics Update

    E-Print Network [OSTI]

    2012-01-01T23:59:59.000Z

    Consumer Choices of Genetically Modified Food. ” ARE UpdateConsumer Choices of Genetically Modified Food Amir HeimanConsumer Choices of Genetically Modified Food Amir Heiman

  13. Agricultural and Resource Economics Update

    E-Print Network [OSTI]

    Lee, Hyunok; Sumner, Daniel A.; Martin, Philip; Hochman, Gal; Rajagopal, Deepak; Zilberman, David

    2011-01-01T23:59:59.000Z

    Environmental Impact of Biofuels. ” ARE Update 15(2):9-11.and the Environmental Impact of Biofuels Gal Hochman, Deepakand the Environmental Impact of Biofuels Gal Hochman, Deepak

  14. Agricultural and Resource Economics Update

    E-Print Network [OSTI]

    2012-01-01T23:59:59.000Z

    Analysis for Evaluating Biofuels. ” ARE Update 11(3) (2008):the RFS conventional biofuels mandate is severely harmingThe first is growth in biofuels demand. Notably, corn

  15. Comparison of AEO 2005 natural gas price forecast to NYMEX futures prices

    SciTech Connect (OSTI)

    Bolinger, Mark; Wiser, Ryan

    2004-12-13T23:59:59.000Z

    On December 9, the reference case projections from ''Annual Energy Outlook 2005 (AEO 2005)'' were posted on the Energy Information Administration's (EIA) web site. As some of you may be aware, we at LBNL have in the past compared the EIA's reference case long-term natural gas price forecasts from the AEO series to contemporaneous natural gas prices that can be locked in through the forward market, with the goal of better understanding fuel price risk and the role that renewables play in mitigating such risk. As such, we were curious to see how the latest AEO gas price forecast compares to the NYMEX natural gas futures strip. This brief memo presents our findings. As a refresher, our past work in this area has found that over the past four years, forward natural gas contracts (e.g., gas futures, swaps, and physical supply) have traded at a premium relative to contemporaneous long-term reference case gas price forecasts from the EIA. As such, we have concluded that, over the past four years at least, levelized cost comparisons of fixed-price renewable generation with variable price gas-fired generation that have been based on AEO natural gas price forecasts (rather than forward prices) have yielded results that are ''biased'' in favor of gas-fired generation (presuming that long-term price stability is valued). In this memo we simply update our past analysis to include the latest long-term gas price forecast from the EIA, as contained in AEO 2005. For the sake of brevity, we do not rehash information (on methodology, potential explanations for the premiums, etc.) contained in our earlier reports on this topic; readers interested in such information are encouraged to download that work from http://eetd.lbl.gov/ea/EMS/reports/53587.pdf or, more recently (and briefly), http://eetd.lbl.gov/ea/ems/reports/54751.pdf. As was the case in the past four AEO releases (AEO 2001-AE0 2004), we once again find that the AEO 2005 reference case gas price forecast falls well below where NYMEX natural gas futures contracts were trading at the time the EIA finalized its gas price forecast. In fact, the NYMEXAEO 2005 reference case comparison yields by far the largest premium--$1.11/MMBtu levelized over six years--that we have seen over the last five years. In other words, on average, one would have to pay $1.11/MMBtu more than the AEO 2005 reference case natural gas price forecast in order to lock in natural gas prices over the coming six years and thereby replicate the price stability provided intrinsically by fixed-price renewable generation. Fixed-price renewables obviously need not bear this added cost, and moreover can provide price stability for terms well in excess of six years.

  16. Comparison of AEO 2007 Natural Gas Price Forecast to NYMEX FuturesPrices

    SciTech Connect (OSTI)

    Bolinger, Mark; Wiser, Ryan

    2006-12-06T23:59:59.000Z

    On December 5, 2006, the reference case projections from 'Annual Energy Outlook 2007' (AEO 2007) were posted on the Energy Information Administration's (EIA) web site. We at LBNL have, in the past, compared the EIA's reference case long-term natural gas price forecasts from the AEO series to contemporaneous natural gas prices that can be locked in through the forward market, with the goal of better understanding fuel price risk and the role that renewables play in mitigating such risk (see, for example, http://eetd.lbl.gov/ea/EMS/reports/53587.pdf or http://eetd.lbl.gov/ea/ems/reports/54751.pdf). As such, we were curious to see how the latest AEO gas price forecast compares to the NYMEX natural gas futures strip. This brief memo presents our findings. As a refresher, our past work in this area has found that over the past six years, forward natural gas contracts (with prices that can be locked in--e.g., gas futures, swaps, and physical supply) have traded at a premium relative to contemporaneous long-term reference case gas price forecasts from the EIA. As such, we have concluded that, over the past six years at least, levelized cost comparisons of fixed-price renewable generation with variable-price gas-fired generation that have been based on AEO natural gas price forecasts (rather than forward prices) have yielded results that are 'biased' in favor of gas-fired generation, presuming that long-term price stability is valued. In this memo we simply update our past analysis to include the latest long-term gas price forecast from the EIA, as contained in AEO 2007. For the sake of brevity, we do not rehash information (on methodology, potential explanations for the premiums, etc.) contained in our earlier reports on this topic; readers interested in such information are encouraged to download that work from http://eetd.lbl.gov/ea/EMS/reports/53587.pdf or http://eetd.lbl.gov/ea/ems/reports/54751.pdf. As was the case in the past six AEO releases (AEO 2001-AEO 2006), we once again find that the AEO 2007 reference case gas price forecast falls well below where NYMEX natural gas futures contracts were trading at the time the EIA finalized its gas price forecast. Specifically, the NYMEX-AEO 2007 premium is $0.73/MMBtu levelized over five years. In other words, on average, one would have had to pay $0.73/MMBtu more than the AEO 2007 reference case natural gas price forecast in order to lock in natural gas prices over the coming five years and thereby replicate the price stability provided intrinsically by fixed-price renewable generation (or other forms of generation whose costs are not tied to the price of natural gas). Fixed-price generation (like certain forms of renewable generation) obviously need not bear this added cost, and moreover can provide price stability for terms well in excess of five years.

  17. Comparison of AEO 2006 Natural Gas Price Forecast to NYMEX FuturesPrices

    SciTech Connect (OSTI)

    Bolinger, Mark; Wiser, Ryan

    2005-12-19T23:59:59.000Z

    On December 12, 2005, the reference case projections from ''Annual Energy Outlook 2006'' (AEO 2006) were posted on the Energy Information Administration's (EIA) web site. We at LBNL have in the past compared the EIA's reference case long-term natural gas price forecasts from the AEO series to contemporaneous natural gas prices that can be locked in through the forward market, with the goal of better understanding fuel price risk and the role that renewables play in mitigating such risk (see, for example, http://eetd.lbl.gov/ea/EMS/reports/53587.pdf or http://eetd.lbl.gov/ea/ems/reports/54751.pdf). As such, we were curious to see how the latest AEO gas price forecast compares to the NYMEX natural gas futures strip. This brief memo presents our findings. As a refresher, our past work in this area has found that over the past five years, forward natural gas contracts (with prices that can be locked in--e.g., gas futures, swaps, and physical supply) have traded at a premium relative to contemporaneous long-term reference case gas price forecasts from the EIA. As such, we have concluded that, over the past five years at least, levelized cost comparisons of fixed-price renewable generation with variable price gas-fired generation that have been based on AEO natural gas price forecasts (rather than forward prices) have yielded results that are ''biased'' in favor of gas-fired generation, presuming that long-term price stability is valued. In this memo we simply update our past analysis to include the latest long-term gas price forecast from the EIA, as contained in AEO 2006. For the sake of brevity, we do not rehash information (on methodology, potential explanations for the premiums, etc.) contained in our earlier reports on this topic; readers interested in such information are encouraged to download that work from http://eetd.lbl.gov/ea/EMS/reports/53587.pdf or http://eetd.lbl.gov/ea/ems/reports/54751.pdf. As was the case in the past five AEO releases (AEO 2001-AEO 2005), we once again find that the AEO 2006 reference case gas price forecast falls well below where NYMEX natural gas futures contracts were trading at the time the EIA finalized its gas price forecast. In fact, the NYMEX-AEO 2006 reference case comparison yields by far the largest premium--$2.3/MMBtu levelized over five years--that we have seen over the last six years. In other words, on average, one would have had to pay $2.3/MMBtu more than the AEO 2006 reference case natural gas price forecast in order to lock in natural gas prices over the coming five years and thereby replicate the price stability provided intrinsically by fixed-price renewable generation (or other forms of generation whose costs are not tied to the price of natural gas). Fixed-price generation (like certain forms of renewable generation) obviously need not bear this added cost, and moreover can provide price stability for terms well in excess of five years.

  18. 1 POSTGRADUATE SCHOLARSHIPS UPDATE -July -August 2014 Postgraduate Scholarships Update

    E-Print Network [OSTI]

    Frean, Marcus

    - August 2014 ADDRESSENQUIRIESAND YOURCOMPLETEDFORMTO: SCHOLARSHIPSMANAGER ScholarshipsOffice Victoria1 POSTGRADUATE SCHOLARSHIPS UPDATE - July - August 2014 Postgraduate Scholarships Update JulyUniversityofWellington POBox600 Wellington6140 NewZealand PHONE +64-4-4635113 EMAIL scholarships-office@vuw.ac.nz WEBSITE www.victoria

  19. Navy mobility fuels forecasting system. Phase II, report

    SciTech Connect (OSTI)

    Hadder, G.R.; Vineyard, T.A.; Das, S.; Lee, R.

    1986-06-01T23:59:59.000Z

    The Department of the Navy (DON) requires an improved capability to forecast mobility fuel availability and quality. The changing patterns in fuel availability and quality are important in planning the Navy's fuel use strategy and the Mobility Fuels Technology Program. Until recently, there has been a long-term decline in the quality of crude oil entering world markets and a shift in refinery capacities domestically and worldwide. Three publicly available models developed by the Energy Information Administration of the Department of Energy were selected as the basis of the Navy Mobility Fuels Forecasting System (NMFFS). The system was used to analyze the availability and quality of jet fuel (JP-5) and diesel fuel (F-76) that could be produced in several domestic and foreign refinery regions under business-as-usual and four hypothetical world crude oil disruption scenarios in 1990. The results from the study indicate that jet fuel availability could be reduced in some refinery regions under the disruptions studied. Various strategies were investigated for increasing JP-5 production during the disruptions. In general, the availability of JP-5 was more limited than F-76 under the disruption cases studied; however, in all cases one or more strategies were identified to increase refinery output of JP-5 in all study regions. Based on the four hypothetical disruption scenarios studied, the analysis suggested tat JP-5 production could be increased by relaxing the smoke point, freezing point, flash point, and by increasing the refiners' gate price for the jet fuel in the study regions. A more complete analysis of navy mobility fuel trends, as well as several changes in the models to make them easier to use in fuel planning and forecastig studies, are planned as part of the third phase of this program.

  20. OHVT technology roadmap [2000

    SciTech Connect (OSTI)

    Bradley, R.A.

    2000-02-01T23:59:59.000Z

    The OHVT Technology Roadmap for 2000 presents the multiyear program plan of the U.S. DOE's Office of Heavy Vehicle Technologies (OHVT). It is an update of the 1997 plan, reflecting changes in regulations and ongoing discussions with DOE's heavy vehicle customers. The technical plan covers three classes of trucks: (1) class 7-8 (large, on-highway trucks); (2) class 3-6 (medium duty trucks); (3) class 1-2 (pickups, vans, and sport utility vehicles) as well as enabling and supporting technologies. The Roadmap documents program goals, schedules, and milestones.

  1. Forecasting hotspots using predictive visual analytics approach

    DOE Patents [OSTI]

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

    2014-12-30T23:59:59.000Z

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

  2. Building America Residential Energy Efficiency Technical Update...

    Energy Savers [EERE]

    Residential Energy Efficiency Technical Update Meeting: August 2011 Building America Residential Energy Efficiency Technical Update Meeting: August 2011 On this page, you may link...

  3. Energy Storage Systems 2010 Update Conference Presentations ...

    Energy Savers [EERE]

    Systems 2010 Update Conference Presentations - Day 1, Session 1 Energy Storage Systems 2010 Update Conference Presentations - Day 1, Session 1 The U.S. DOE Energy Storage Systems...

  4. Utility Energy Services Contracts: Enabling Documents Update...

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

    Update Utility Energy Services Contracts: Enabling Documents Update Presentation covers the FUPWG Fall Meeting, held on November 28-29, 2007 in San Diego, California....

  5. A survey on wind power ramp forecasting.

    SciTech Connect (OSTI)

    Ferreira, C.; Gama, J.; Matias, L.; Botterud, A.; Wang, J. (Decision and Information Sciences); (INESC Porto)

    2011-02-23T23:59:59.000Z

    The increasing use of wind power as a source of electricity poses new challenges with regard to both power production and load balance in the electricity grid. This new source of energy is volatile and highly variable. The only way to integrate such power into the grid is to develop reliable and accurate wind power forecasting systems. Electricity generated from wind power can be highly variable at several different timescales: sub-hourly, hourly, daily, and seasonally. Wind energy, like other electricity sources, must be scheduled. Although wind power forecasting methods are used, the ability to predict wind plant output remains relatively low for short-term operation. Because instantaneous electrical generation and consumption must remain in balance to maintain grid stability, wind power's variability can present substantial challenges when large amounts of wind power are incorporated into a grid system. A critical issue is ramp events, which are sudden and large changes (increases or decreases) in wind power. This report presents an overview of current ramp definitions and state-of-the-art approaches in ramp event forecasting.

  6. Next Update: November 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site. IfProved(Million Barrels)21 4.65 2013 Next Update: November

  7. Next Update: November 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site. IfProved(Million Barrels)21 4.65 2013 Next Update:

  8. Hopper Updates and Status

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of Science (SC) EnvironmentalGyroSolé(tm) HarmonicbetandEnergy 2010 A File Storage Updates and

  9. Carver Updates and Status

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625govInstrumentstdmadapInactiveVisiting the TWPSuccess StoriesFebruary 26,ComputersTrinitytheOptimization Updates and

  10. Updates and Status

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of ScienceandMesa del SolStrengthening aTurbulence mayUndergraduateAbout Us Updates and Status Current

  11. Timeline and updates

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of ScienceandMesa del SolStrengthening a solidSynthesis ofwasSynchrotron RadiationTimeline and Updates

  12. Metrics for Evaluating the Accuracy of Solar Power Forecasting: Preprint

    SciTech Connect (OSTI)

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

    2013-10-01T23:59:59.000Z

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

  13. Pathways to Commercial Success: Technologies and Products Supported by the Fuel Cell Technologies Program - 2011

    Fuel Cell Technologies Publication and Product Library (EERE)

    This FY 2011 report updates the results of an effort to identify and characterize commercial and near-commercial (emerging) technologies and products that benefited from the support of the Fuel Cell

  14. Pathways to Commercial Success: Technologies and Products Supported by the Fuel Cell Technologies Program - 2012

    Fuel Cell Technologies Publication and Product Library (EERE)

    This FY 2012 report updates the results of an effort to identify and characterize commercial and near-commercial (emerging) technologies and products that benefited from the support of the Fuel Cell T

  15. Pathways to Commercial Success: Technologies and Products Supported by the Fuel Cell Technologies Office - 2013

    Fuel Cell Technologies Publication and Product Library (EERE)

    This FY 2013 report updates the results of an effort to identify and characterize commercial and near-commercial (emerging) technologies and products that benefited from the support of the Fuel Cell T

  16. SOLID WASTE INTEGRATED FORECAST TECHNICAL (SWIFT) REPORT FY2005 THRU FY2035 2005.0 VOLUME 2

    SciTech Connect (OSTI)

    BARCOT, R.A.

    2005-08-17T23:59:59.000Z

    This report provides up-to-date life cycle information about the radioactive solid waste expected to be managed by Hanford's Waste Management (WM) Project from onsite and offsite generators. It includes: (1) an overview of Hanford-wide solid waste to be managed by the WM Project; (2) multi-level and waste class-specific estimates; (3) background information on waste sources; and (4) comparisons to previous forecasts and other national data sources. The focus of this report is low-level waste (LLW), mixed low-level waste (MLLW), and transuranic waste, both non-mixed and mixed (TRU(M)). Some details on hazardous waste are also provided, however, this information is not considered comprehensive. This report includes data requested in December, 2004 with updates through March 31,2005. The data represent a life cycle forecast covering all reported activities from FY2005 through the end of each program's life cycle and are an update of the previous FY2004.1 data version.

  17. Weather Forecast Data an Important Input into Building Management Systems

    E-Print Network [OSTI]

    Poulin, L.

    2013-01-01T23:59:59.000Z

    it can generate as much or more energy that it needs ? Building activities need N kWhrs per day (solar panels, heating, etc) ? Harvested from solar panels & passive solar. Amount depends on weather ? NWP models forecast DSWRF @ surface (MJ/m2...://collaboration.cmc.ec.gc.ca/cmc/cmoi/SolarScribe/SolarScribe/ CMC NWP datasets for Day 2 Forecasts ? Regional Deterministic Prediction System (RDPS) ? RDPS raw model data ? 10 km resolution, North America, 000-054 forecasts ? Data at: http...

  18. Forecasting model of the PEPCO service area economy. Volume 3

    SciTech Connect (OSTI)

    Not Available

    1984-03-01T23:59:59.000Z

    Volume III describes and documents the regional economic model of the PEPCO service area which was relied upon to develop many of the assumptions of future values of economic and demographic variables used in the forecast. The PEPCO area model is mathematically linked to the Wharton long-term forecast of the U.S. Volume III contains a technical discussion of the structure of the regional model and presents the regional economic forecast.

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

    E-Print Network [OSTI]

    de Lijser, Peter

    . Second, oil prices have risen steadily during this year, posing a significant risk to the world economy at a moderate pace -- a notch below the U.S. long-run potential growth and well below the historical rates in the first half by higher energy prices and a "soft-landing" of emerging market economies. Developments

  20. U.S. oil production forecast update reflects lower rig count

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001)gasoline prices4 Oil demand expected to rise intonetU.S.

  1. PBL FY 2003 Third Quarter Review Forecast of Generation Accumulated Net Revenues, Updated August 18, 2003

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's Possible for RenewableSpeedingBiomass and BiofuelsOversightandCenterBusiness LineAugust 18,

  2. Wind Power Forecasting Error Distributions: An International Comparison; Preprint

    SciTech Connect (OSTI)

    Hodge, B. M.; Lew, D.; Milligan, M.; Holttinen, H.; Sillanpaa, S.; Gomez-Lazaro, E.; Scharff, R.; Soder, L.; Larsen, X. G.; Giebel, G.; Flynn, D.; Dobschinski, J.

    2012-09-01T23:59:59.000Z

    Wind power forecasting is expected to be an important enabler for greater penetration of wind power into electricity systems. Because no wind forecasting system is perfect, a thorough understanding of the errors that do occur can be critical to system operation functions, such as the setting of operating reserve levels. This paper provides an international comparison of the distribution of wind power forecasting errors from operational systems, based on real forecast data. The paper concludes with an assessment of similarities and differences between the errors observed in different locations.

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

    Office of Environmental Management (EM)

    Project Southern Study Area Final Report Wind Forecast Improvement Project Southern Study Area Final Report.pdf More Documents & Publications Computational Advances in Applied...

  4. Forecasting Dangerous Inmate Misconduct: An Applications of Ensemble Statistical Procedures

    E-Print Network [OSTI]

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

    2011-01-01T23:59:59.000Z

    Forecasting Dangerous Inmate Misconduct: An Applications ofof Term Length more dangerous than other inmates servingIV beds or moving less dangerous Level IV inmates to Level

  5. Forecasting Dangerous Inmate Misconduct: An Applications of Ensemble Statistical Procedures

    E-Print Network [OSTI]

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

    2005-01-01T23:59:59.000Z

    Forecasting Dangerous Inmate Misconduct: An Applications ofof Term Length more dangerous than other inmates servingIV beds or moving less dangerous Level IV inmates to Level

  6. Forecasting the underlying potential governing climatic time series

    E-Print Network [OSTI]

    Livina, V N; Mudelsee, M; Lenton, T M

    2012-01-01T23:59:59.000Z

    We introduce a technique of time series analysis, potential forecasting, which is based on dynamical propagation of the probability density of time series. We employ polynomial coefficients of the orthogonal approximation of the empirical probability distribution and extrapolate them in order to forecast the future probability distribution of data. The method is tested on artificial data, used for hindcasting observed climate data, and then applied to forecast Arctic sea-ice time series. The proposed methodology completes a framework for `potential analysis' of climatic tipping points which altogether serves anticipating, detecting and forecasting climate transitions and bifurcations using several independent techniques of time series analysis.

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

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

    & Events, Partnership, Photovoltaic, Renewable Energy, Solar, Systems Analysis The book, Solar Energy Forecasting and Resource Assessment, provides an authoritative voice on the...

  8. Econometric model and futures markets commodity price forecasting

    E-Print Network [OSTI]

    Just, Richard E.; Rausser, Gordon C.

    1979-01-01T23:59:59.000Z

    Versus CCll1rnercial Econometric M:ldels." Uni- versity ofWorking Paper No. 72 ECONOMETRIC ! 'econometric forecasts with the futures

  9. Optimization Online - Data Assimilation in Weather Forecasting: A ...

    E-Print Network [OSTI]

    M. Fisher

    2007-02-14T23:59:59.000Z

    Feb 14, 2007 ... Data Assimilation in Weather Forecasting: A Case Study in PDE-Constrained Optimization. M. Fisher(Mike.Fisher ***at*** ecmwf.int)

  10. Weather-based yield forecasts developed for 12 California crops

    E-Print Network [OSTI]

    Lobell, David; Cahill, Kimberly Nicholas; Field, Christopher

    2006-01-01T23:59:59.000Z

    RESEARCH ARTICLE Weather-based yield forecasts developed fordepend largely on the weather, measurements from existingpredictions. We developed weather-based models of statewide

  11. Using Customers' Reported Forecasts to Predict Future Sales

    E-Print Network [OSTI]

    Gordon, Geoffrey J.

    Using Customers' Reported Forecasts to Predict Future Sales Nihat Altintas , Alan Montgomery , Michael Trick Tepper School of Business, Carnegie Mellon University, Pittsburgh, PA 15213. nihat

  12. FORECASTING THE ROLE OF RENEWABLES IN HAWAII

    E-Print Network [OSTI]

    Sathaye, Jayant

    2013-01-01T23:59:59.000Z

    diesel fueL Several renewable technologies have the potential to contribute s to electricity generation.

  13. APPROVED MINORS Updated on April 4, 2013

    E-Print Network [OSTI]

    New Hampshire, University of

    APPROVED MINORS Updated on April 4, 2013 Note: Please go to Department webpages for updates. Page 1;APPROVED MINORS Updated on April 4, 2013 Note: Please go to Department webpages for updates. Page 2 COLLEGE Studies Cinema Studies Classics Communication Dance Education English European Cultural Studies Forensics

  14. Reducing the demand forecast error due to the bullwhip effect in the computer processor industry

    E-Print Network [OSTI]

    Smith, Emily (Emily C.)

    2010-01-01T23:59:59.000Z

    Intel's current demand-forecasting processes rely on customers' demand forecasts. Customers do not revise demand forecasts as demand decreases until the last minute. Intel's current demand models provide little guidance ...

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

    E-Print Network [OSTI]

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

    2005-01-01T23:59:59.000Z

    of two methods to forecast natural gas prices: using theof two methods to forecast natural gas prices is performed:accurate average forecast of natural gas prices than the

  16. Comparison of AEO 2005 natural gas price forecast to NYMEX futures prices

    E-Print Network [OSTI]

    Bolinger, Mark; Wiser, Ryan

    2004-01-01T23:59:59.000Z

    Gas Price Forecast With natural gas prices significantlyto the EIA’s natural gas price forecasts in AEO 2004 and AEOon the AEO 2005 natural gas price forecasts will likely once

  17. Evaluation of forecasting techniques for short-term demand of air transportation

    E-Print Network [OSTI]

    Wickham, Richard Robert

    1995-01-01T23:59:59.000Z

    Forecasting is arguably the most critical component of airline management. Essentially, airlines forecast demand to plan the supply of services to respond to that demand. Forecasts of short-term demand facilitate tactical ...

  18. Comparison of AEO 2005 natural gas price forecast to NYMEX futures prices

    E-Print Network [OSTI]

    Bolinger, Mark; Wiser, Ryan

    2004-01-01T23:59:59.000Z

    revisions to the EIA’s natural gas price forecasts in AEOsolely on the AEO 2005 natural gas price forecasts willComparison of AEO 2005 Natural Gas Price Forecast to NYMEX

  19. Comparison of AEO 2010 Natural Gas Price Forecast to NYMEX Futures Prices

    E-Print Network [OSTI]

    Bolinger, Mark A.

    2010-01-01T23:59:59.000Z

    to estimate the base-case natural gas price forecast, but toComparison of AEO 2010 Natural Gas Price Forecast to NYMEXs reference-case long-term natural gas price forecasts from

  20. Renewable Forecast Min-Max2020.xls

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's PossibleRadiation Protection Technical s o Freiberge s 3 c/)RenewableRenewable EnergyForecast of

  1. Forecast and Funding Arrangements - Hanford Site

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of Science (SC) Environmental Assessments (EA)Budget(DANCE) Target 1Annual Waste Forecast and Funding

  2. IEAB Invasive Mussels Update September 2013 Invasive Mussels Update

    E-Print Network [OSTI]

    ....................................................... 16 8. Update on Mussel Control Agents Area MFWP Montana Fish Wildlife and Parks NASQAN National Stream Quality Accounting Network NGO Non, respectively, during 2012. A total of 109 mussel-infested boats were found during

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

    E-Print Network [OSTI]

    Mathiesen, Patrick; Kleissl, Jan

    2011-01-01T23:59:59.000Z

    to  predict daily solar radiation.   Agriculture and Forest and Chuo, S.   2008.  Solar radiation forecasting using Short?term forecasting of solar radiation:   A statistical 

  4. Uncertainty Reduction in Power Generation Forecast Using Coupled Wavelet-ARIMA

    SciTech Connect (OSTI)

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

    2014-10-27T23:59:59.000Z

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

  5. St. Bernard Project Update

    Broader source: Energy.gov [DOE]

    The folks at St. Bernard Project are helping survivors of Hurricane Katrina get back into their homes -- and are using new technologies to reduce energy and save money for the returning residents.

  6. Short term forecasting of solar radiation based on satellite data

    E-Print Network [OSTI]

    Heinemann, Detlev

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

  7. Calibrated Probabilistic Forecasting at the Stateline Wind Energy Center

    E-Print Network [OSTI]

    Washington at Seattle, University of

    Calibrated Probabilistic Forecasting at the Stateline Wind Energy Center: The Regime meteorological data from sites upwind of wind farms can be efficiently used to improve short-term forecasts acknowledges the support of PPM Energy, Inc. The data used in this work were obtained from Oregon State

  8. Revised 1997 Retail Electricity Price Forecast Principal Author: Ben Arikawa

    E-Print Network [OSTI]

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

  9. A Transformed Lagged Ensemble Forecasting Technique for Increasing Ensemble Size

    E-Print Network [OSTI]

    Hansens, Jim

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

  10. Introducing the Canadian Crop Yield Forecaster Aston Chipanshi1

    E-Print Network [OSTI]

    Miami, University of

    for crop yield forecasting and risk analysis. Using the Census Agriculture Region (CAR) as the unit Climate Decision Support and Adaptation, Agriculture and Agri-Food Canada, 1011, Innovation Blvd, Saskatoon, SK S7V 1B7, Canada The Canadian Crop Yield Forecaster (CCYF) is a statistical modelling tool

  11. Wind-Wave Probabilistic Forecasting based on Ensemble

    E-Print Network [OSTI]

    have to be jointly taken into account in some decision-making problems, e.g. offshore wind farmWind-Wave Probabilistic Forecasting based on Ensemble Predictions Maxime FORTIN Kongens Lyngby 2012.imm.dtu.dk IMM-PhD-2012-86 #12;Summary Wind and wave forecasts are of a crucial importance for a number

  12. 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 for electric vehicles. #12;ii #12;iii ABSTRACT The Preliminary California Energy Demand Forecast 2012 includes three full scenarios: a high energy demand case, a low energy demand case, and a mid energy demand

  13. CALIFORNIA ENERGY DEMAND 2008-2018 STAFF REVISED FORECAST

    E-Print Network [OSTI]

    CALIFORNIA ENERGY COMMISSION CALIFORNIA ENERGY DEMAND 2008-2018 STAFF REVISED FORECAST, and utilities. Mitch Tian prepared the peak demand forecast. Ted Dang prepared the historic energy consumption STAFFFINALREPORT NOVEMBER 2007 CEC-200-2007-015-SF2 Arnold Schwarzenegger, Governor #12;CALIFORNIA ENERGY

  14. CALIFORNIA ENERGY DEMAND 2006-2016 STAFF ENERGY DEMAND FORECAST

    E-Print Network [OSTI]

    CALIFORNIA ENERGY COMMISSION CALIFORNIA ENERGY DEMAND 2006-2016 STAFF ENERGY DEMAND FORECAST Manager Kae Lewis Acting Manager Demand Analysis Office Valerie T. Hall Deputy Director Energy Efficiency Demand Forecast report is the product of the efforts of many current and former California Energy

  15. Distribution Based Data Filtering for Financial Time Series Forecasting

    E-Print Network [OSTI]

    Bailey, James

    recent past. In this paper, we address the challenge of forecasting the behavior of time series using@unimelb.edu.au Abstract. Changes in the distribution of financial time series, particularly stock market prices, can of stock prices, which aims to forecast the future values of the price of a stock, in order to obtain

  16. Managing Wind Power Forecast Uncertainty in Electric Brandon Keith Mauch

    E-Print Network [OSTI]

    i Managing Wind Power Forecast Uncertainty in Electric Grids Brandon Keith Mauch Co for the modeled wind- CAES system would not cover annualized capital costs. We also estimate market prices-ahead market is roughly $100, with large variability due to electric power prices. Wind power forecast errors

  17. Draft for Public Comment Appendix A. Demand Forecast

    E-Print Network [OSTI]

    in the planning process. Electricity demand is forecast to grow from 20,080 average megawatts in 2000 to 25 forecast of electricity demand is a required component of the Council's Northwest Regional Conservation and Electric Power Plan.1 Understanding growth in electricity demand is, of course, crucial to determining

  18. FORECASTING WATER DEMAND USING CLUSTER AND REGRESSION ANALYSIS

    E-Print Network [OSTI]

    Keller, Arturo A.

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

  19. Forecasting Uncertainty Related to Ramps of Wind Power Production

    E-Print Network [OSTI]

    Boyer, Edmond

    - namic reserve quantification [8], for the optimal oper- ation of combined wind-hydro power plants [5, 1Forecasting Uncertainty Related to Ramps of Wind Power Production Arthur Bossavy, Robin Girard - The continuous improvement of the accuracy of wind power forecasts is motivated by the increasing wind power

  20. Impact of PV forecasts uncertainty in batteries management in microgrids

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    -- Photovoltaic systems, Batteries, Forecasting I. INTRODUCTION This paper presents first results of a study Energies and Energy Systems Sophia Antipolis, France andrea.michiorri@mines-paristech.fr Abstract production forecast algorithm is used in combination with a battery schedule optimisation algorithm. The size

  1. Forecasting Building Occupancy Using Sensor Network James Howard

    E-Print Network [OSTI]

    Hoff, William A.

    of the forecasting algorithm for the different conditions. 1. INTRODUCTION According to the U.S. Department of Energy could take advantage of times when electricity cost is lower, to chill a cold water storage tankForecasting Building Occupancy Using Sensor Network Data James Howard Colorado School of Mines

  2. FUPWG Fall 2009 Washington Update | Department of Energy

    Office of Environmental Management (EM)

    FUPWG Fall 2009 Washington Update FUPWG Fall 2009 Washington Update Presentation covers the 2009 Federal Utility Partnership Working Group (FUPWG) Washington update to the Lighting...

  3. Sign Up For Email Updates

    Broader source: Energy.gov [DOE]

    Be the first to know of the latest developments from the Energy.gov team -- from videos to infographics to live Q&A’s -- by signing up for email updates.

  4. Gearbox Reliability Collaborative Update (Presentation)

    SciTech Connect (OSTI)

    Sheng, S.

    2013-10-01T23:59:59.000Z

    This presentation was given at the Sandia Reliability Workshop in August 2013 and provides information on current statistics, a status update, next steps, and other reliability research and development activities related to the Gearbox Reliability Collaborative.

  5. BPA Wind Integration Team Update

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

    BPA Wind Integration Team Update Customer Supplied Generation Imbalance (CSGI) Pilot Transmission Services Customer Forum 29 July 28, 2010 B O N N E V I L L E P O W E R A D M I N...

  6. Agricultural and Resource Economics Update

    E-Print Network [OSTI]

    2012-01-01T23:59:59.000Z

    corn prices, but crude oil prices are also relatively highSmith. “What is the Price of Oil? ” ARE Update 11(5) (2008):ates with the prices of corn and crude oil. Until 2011 there

  7. UPDATING CONSTRAINT PRECONDITIONERS FOR KKT ...

    E-Print Network [OSTI]

    2015-03-23T23:59:59.000Z

    nevertheless, their computation may be very expensive for large-scale problems and resorting to ... updating procedure is expected to build a preconditioner which is less effective in terms of linear iterations than ..... We consider a low-rank up-.

  8. Progress Update: M Area Closure

    ScienceCinema (OSTI)

    Cody, Tom

    2012-06-14T23:59:59.000Z

    A progress update of the Recovery Act at work at the Savannah River Site. The celebration of the first area cleanup completion with the help of the Recovery Act.

  9. Ksplice: Automatic Rebootless Kernel Updates

    E-Print Network [OSTI]

    Kaashoek, M. Frans

    2009-01-01T23:59:59.000Z

    Ksplice allows system administrators to apply patches to their operating system kernels without rebooting. Unlike previous hot update systems, Ksplice operates at the object code layer, which allows Ksplice to transform ...

  10. Carnegie Mellon University CARNEGIE INSTITUTE OF TECHNOLOGY

    E-Print Network [OSTI]

    Carnegie Mellon University CARNEGIE INSTITUTE OF TECHNOLOGY THESIS submitted in partial fulfillment Electric Demand Response Submitted in partial fulfillment of the requirements for the degree of Doctor, and verifying demand response in direct load control of air-conditioners. Forecasting is important for system

  11. Voluntary Green Power Market Forecast through 2015

    SciTech Connect (OSTI)

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

    2010-05-01T23:59:59.000Z

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

  12. RUTGERS UNIVERSITY 2011 TAX &TECHNOLOGY

    E-Print Network [OSTI]

    Lin, Xiaodong

    as a Technology update. This seminar is open to all CPAs in the Tri-State area as well as Rutgers Alumni. It is on the Board of the NJSCPA Mercer County chapter Robert Kenny, Esquire, Bob Kenny is a CPA,, JD. He is Past President of the NJSCPA's Mercer County Chapter. Bob is admitted to the Bar in 4 states including

  13. Comparison of Wind Power and Load Forecasting Error Distributions: Preprint

    SciTech Connect (OSTI)

    Hodge, B. M.; Florita, A.; Orwig, K.; Lew, D.; Milligan, M.

    2012-07-01T23:59:59.000Z

    The introduction of large amounts of variable and uncertain power sources, such as wind power, into the electricity grid presents a number of challenges for system operations. One issue involves the uncertainty associated with scheduling power that wind will supply in future timeframes. However, this is not an entirely new challenge; load is also variable and uncertain, and is strongly influenced by weather patterns. In this work we make a comparison between the day-ahead forecasting errors encountered in wind power forecasting and load forecasting. The study examines the distribution of errors from operational forecasting systems in two different Independent System Operator (ISO) regions for both wind power and load forecasts at the day-ahead timeframe. The day-ahead timescale is critical in power system operations because it serves the unit commitment function for slow-starting conventional generators.

  14. Early growth technology analysis : case studies in solar energy and geothermal energy

    E-Print Network [OSTI]

    Kaya Firat, Ayse

    2010-01-01T23:59:59.000Z

    Public and private organizations try to forecast the future of technological developments and allocate funds accordingly. Based on our interviews with experts from MIT's Entrepreneurship Center, Sloan School of Management, ...

  15. Verification of hourly forecasts of wind turbine power output

    SciTech Connect (OSTI)

    Wegley, H.L.

    1984-08-01T23:59:59.000Z

    A verification of hourly average wind speed forecasts in terms of hourly average power output of a MOD-2 was performed for four sites. Site-specific probabilistic transformation models were developed to transform the forecast and observed hourly average speeds to the percent probability of exceedance of an hourly average power output. (This transformation model also appears to have value in predicting annual energy production for use in wind energy feasibility studies.) The transformed forecasts were verified in a deterministic sense (i.e., as continuous values) and in a probabilistic sense (based upon the probability of power output falling in a specified category). Since the smoothing effects of time averaging are very pronounced, the 90% probability of exceedance was built into the transformation models. Semiobjective and objective (model output statistics) forecasts were made compared for the four sites. The verification results indicate that the correct category can be forecast an average of 75% of the time over a 24-hour period. Accuracy generally decreases with projection time out to approx. 18 hours and then may increase due to the fairly regular diurnal wind patterns that occur at many sites. The ability to forecast the correct power output category increases with increasing power output because occurrences of high hourly average power output (near rated) are relatively rare and are generally not forecast. The semiobjective forecasts proved superior to model output statistics in forecasting high values of power output and in the shorter time frames (1 to 6 hours). However, model output statistics were slightly more accurate at other power output levels and times. Noticeable differences were observed between deterministic and probabilistic (categorical) forecast verification results.

  16. Photovoltaic Forecasting: A state of the art B. Espinar, J.L. Aznarte, R. Girard, A.M. Moussa and G. Kariniotakis

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Photovoltaic Forecasting: A state of the art B. Espinar, J.L. Aznarte, R. Girard, A.M. Moussa and G(0)493678967; FAX: +33 (0)493957535,bella.espinar@mines-paristech.fr Abstract Photovoltaic (PV) energy, together Introduction Photovoltaics (PV) for electricity generation is the fastest-growing energy technology since 2002

  17. NatioNal aNd Global Forecasts West VirGiNia ProFiles aNd Forecasts

    E-Print Network [OSTI]

    Mohaghegh, Shahab

    · NatioNal aNd Global Forecasts · West VirGiNia ProFiles aNd Forecasts · eNerGy · Healt Global Insight, paid for by the West Virginia Department of Revenue. 2013 WEST VIRGINIA ECONOMIC OUTLOOKWest Virginia Economic Outlook 2013 is published by: Bureau of Business & Economic Research West

  18. Ultracapacitors for Electric and Hybrid Vehicles - Performance Requirements, Status of the Technology, and R&D Needs

    E-Print Network [OSTI]

    Burke, Andrew F

    1995-01-01T23:59:59.000Z

    5. Burke, A.F. , Electric/Hybrid Vehicle Super Car Designsin Electric and Hybrid Vehicles, SAE Paper No. 951951,for Electric and Hybrid Vehicles - A Technology Update,

  19. UME Technology Committee November 11, 2014

    E-Print Network [OSTI]

    Finley Jr., Russell L.

    UME Technology Committee November 11, 2014 Mazurek 202 12:00 pm - 1 location (ome.med.wayne.edu) b. Technology Request Form and Suggestion Box have been. Blackboard Mobile LearnTM (Dozier) a. Free mobile downloads and updates for Android

  20. ENGINEERING TECHNOLOGY Engineering Technology

    E-Print Network [OSTI]

    ENGINEERING TECHNOLOGY Engineering Technology Program The Bachelor of Science in Engineering Technology (BSET) is a hands-on program based upon engineering technology fundamentals, engineering for employment or further education. The focus is on current engineering technology issues and applications used

  1. Development and testing of improved statistical wind power forecasting methods.

    SciTech Connect (OSTI)

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

    2011-12-06T23:59:59.000Z

    Wind power forecasting (WPF) provides important inputs to power system operators and electricity market participants. It is therefore not surprising that WPF has attracted increasing interest within the electric power industry. In this report, we document our research on improving statistical WPF algorithms for point, uncertainty, and ramp forecasting. Below, we provide a brief introduction to the research presented in the following chapters. For a detailed overview of the state-of-the-art in wind power forecasting, we refer to [1]. Our related work on the application of WPF in operational decisions is documented in [2]. Point forecasts of wind power are highly dependent on the training criteria used in the statistical algorithms that are used to convert weather forecasts and observational data to a power forecast. In Chapter 2, we explore the application of information theoretic learning (ITL) as opposed to the classical minimum square error (MSE) criterion for point forecasting. In contrast to the MSE criterion, ITL criteria do not assume a Gaussian distribution of the forecasting errors. We investigate to what extent ITL criteria yield better results. In addition, we analyze time-adaptive training algorithms and how they enable WPF algorithms to cope with non-stationary data and, thus, to adapt to new situations without requiring additional offline training of the model. We test the new point forecasting algorithms on two wind farms located in the U.S. Midwest. Although there have been advancements in deterministic WPF, a single-valued forecast cannot provide information on the dispersion of observations around the predicted value. We argue that it is essential to generate, together with (or as an alternative to) point forecasts, a representation of the wind power uncertainty. Wind power uncertainty representation can take the form of probabilistic forecasts (e.g., probability density function, quantiles), risk indices (e.g., prediction risk index) or scenarios (with spatial and/or temporal dependence). Statistical approaches to uncertainty forecasting basically consist of estimating the uncertainty based on observed forecasting errors. Quantile regression (QR) is currently a commonly used approach in uncertainty forecasting. In Chapter 3, we propose new statistical approaches to the uncertainty estimation problem by employing kernel density forecast (KDF) methods. We use two estimators in both offline and time-adaptive modes, namely, the Nadaraya-Watson (NW) and Quantilecopula (QC) estimators. We conduct detailed tests of the new approaches using QR as a benchmark. One of the major issues in wind power generation are sudden and large changes of wind power output over a short period of time, namely ramping events. In Chapter 4, we perform a comparative study of existing definitions and methodologies for ramp forecasting. We also introduce a new probabilistic method for ramp event detection. The method starts with a stochastic algorithm that generates wind power scenarios, which are passed through a high-pass filter for ramp detection and estimation of the likelihood of ramp events to happen. The report is organized as follows: Chapter 2 presents the results of the application of ITL training criteria to deterministic WPF; Chapter 3 reports the study on probabilistic WPF, including new contributions to wind power uncertainty forecasting; Chapter 4 presents a new method to predict and visualize ramp events, comparing it with state-of-the-art methodologies; Chapter 5 briefly summarizes the main findings and contributions of this report.

  2. Incorporating Forecast Uncertainty in Utility Control Center

    SciTech Connect (OSTI)

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

    2014-07-09T23:59:59.000Z

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

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

    SciTech Connect (OSTI)

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

    2005-07-01T23:59:59.000Z

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

  4. NEMA Distribution Transformers, CCE Overview and Update presentation...

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

    Distribution Transformers, CCE Overview and Update presentation, dated 05242011 NEMA Distribution Transformers, CCE Overview and Update presentation, dated 05242011 This...

  5. November 14, 2000 A Quarterly Forecast of U.S. Trade

    E-Print Network [OSTI]

    Shyy, Wei

    November 14, 2000 A Quarterly Forecast of U.S. Trade in Services and the Current Account, 2000 of Forecast*** We forecast that the services trade surplus, which declined from 1997 to 1998 and edged upward. That is, from a level of $80.6 billion in 1999, we forecast that the services trade surplus will be $80

  6. Smard Grid Software Applications for Distribution Network Load Forecasting Eugene A. Feinberg, Jun Fei

    E-Print Network [OSTI]

    Feinberg, Eugene A.

    of the distribution network. Keywords: load forecasting, feeder, transformer, load pocket, SmartGrid I. INTRODUCTION

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

    E-Print Network [OSTI]

    Marquez, Ricardo

    2012-01-01T23:59:59.000Z

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

  8. USING BOX-JENKINS MODELS TO FORECAST FISHERY DYNAMICS: IDENTIFICATION, ESTIMATION, AND CHECKING

    E-Print Network [OSTI]

    ~ is illustrated by developing a model that makes monthly forecasts of skipjack tuna, Katsuwonus pelamis, catches

  9. Development and Demonstration of Advanced Forecasting, Power and Environmental Planning and Management Tools and Best Practices

    Broader source: Energy.gov [DOE]

    Development and Demonstration of Advanced Forecasting, Power and Environmental Planning and Management Tools and Best Practices

  10. ASSESSING THE QUALITY AND ECONOMIC VALUE OF WEATHER AND CLIMATE FORECASTS

    E-Print Network [OSTI]

    Katz, Richard

    INFORMATION SYSTEM · Forecast -- Conditional probability distribution for event Z = z indicates forecast tornado #12;(1.2) FRAMEWORK · Joint Distribution of Observations & Forecasts Observed Weather = Forecast probability p (e.g., induced by Z) · Reliability Diagram Observed weather: = 1 (Adverse weather occurs) = 0

  11. Sandia National Laboratories: fuel-cell technology demonstration

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

    one that could lead to a commercial technology for ports worldwide. Ports have been a major water- and air-pollution source in the U.S.-but remained ... Last Updated: March 13...

  12. Weather Forecast Data an Important Input into Building Management Systems 

    E-Print Network [OSTI]

    Poulin, L.

    2013-01-01T23:59:59.000Z

    GEPS 21 members ? Provides probabilistic forecasts ? Can give useful outlooks for longer term weather forecasts ? Scribe matrix from GDPS ? includes UMOS post processed model data ? Variables like Temperature, humidity post processed by UMOS ? See...://collaboration.cmc.ec.gc.ca/cmc/cmoi/cmc-prob-products/ ? Link to experimental 3-day outlook of REPS quilts ? http://collaboration.cmc.ec.gc.ca/cmc/cmoi/cmc-prob-products.reps Users can also make their own products from ensemble forecast data? Sample ascii matrix of 2m temperature could be fed...

  13. Natural Priors, CMSSM Fits and LHC Weather Forecasts

    E-Print Network [OSTI]

    Allanach, B C; Cranmer, Kyle; Lester, Christopher G; Weber, Arne M

    2007-08-07T23:59:59.000Z

    ar X iv :0 70 5. 04 87 v3 [ he p- ph ] 5 J ul 20 07 Preprint typeset in JHEP style - HYPER VERSION DAMTP-2007-18 Cavendish-HEP-2007-03 MPP-2007-36 Natural Priors, CMSSM Fits and LHC Weather Forecasts Benjamin C Allanach1, Kyle Cranmer2... ’s likely discoveries. There are big differences between nature of the questions answered by a forecast, and the ques- tions that will be answered by the experiments themselves when they have acquired compelling data. A weather forecast predicting “severe...

  14. Marine and Hydrokinetic Technology Database

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

    DOE’s Marine and Hydrokinetic Technology Database provides up-to-date information on marine and hydrokinetic renewable energy, both in the U.S. and around the world. The database includes wave, tidal, current, and ocean thermal energy, and contains information on the various energy conversion technologies, companies active in the field, and development of projects in the water. Depending on the needs of the user, the database can present a snapshot of projects in a given region, assess the progress of a certain technology type, or provide a comprehensive view of the entire marine and hydrokinetic energy industry. Results are displayed as a list of technologies, companies, or projects. Data can be filtered by a number of criteria, including country/region, technology type, generation capacity, and technology or project stage. The database was updated in 2009 to include ocean thermal energy technologies, companies, and projects.

  15. Energy Storage Systems 2010 Update Conference Presentations ...

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

    4 Energy Storage Systems 2010 Update Conference Presentations - Day 1, Session 4 The U.S. DOE Energy Storage Systems Program (ESS) conducted a record-breaking Update Conference at...

  16. Energy Storage Systems 2010 Update Conference Presentations ...

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

    3 Energy Storage Systems 2010 Update Conference Presentations - Day 2, Session 3 The U.S. DOE Energy Storage Systems Program (ESS) conducted a record-breaking Update Conference at...

  17. Energy Storage Systems 2010 Update Conference Presentations ...

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

    2 Energy Storage Systems 2010 Update Conference Presentations - Day 3, Session 2 The U.S. DOE Energy Storage Systems Program (ESS) conducted a record-breaking Update Conference at...

  18. Energy Storage Systems 2010 Update Conference Presentations ...

    Office of Environmental Management (EM)

    1 Energy Storage Systems 2010 Update Conference Presentations - Day 3, Session 1 The U.S. DOE Energy Storage Systems Program (ESS) conducted a record-breaking Update Conference at...

  19. Energy Storage Systems 2010 Update Conference Presentations ...

    Office of Environmental Management (EM)

    2 Energy Storage Systems 2010 Update Conference Presentations - Day 2, Session 2 The U.S. DOE Energy Storage Systems Program (ESS) conducted a record-breaking Update Conference at...

  20. Energy Storage Systems 2010 Update Conference Presentations ...

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

    chaired by NETL's Kim Nuhfer, are below. ESS 2010 Update Conference - Low Cost Energy Storage - Ted Wiley, Aquion.pdf Ess 2010 Update Conference - Solid State Li Metal Batteries...

  1. Energy Storage Systems 2010 Update Conference Presentations ...

    Office of Environmental Management (EM)

    2 Energy Storage Systems 2010 Update Conference Presentations - Day 1, Session 2 The U.S. DOE Energy Storage Systems Program (ESS) conducted a record-breaking Update Conference at...

  2. Energy Storage Systems 2010 Update Conference Presentations ...

    Office of Environmental Management (EM)

    3 Energy Storage Systems 2010 Update Conference Presentations - Day 3, Session 3 The U.S. DOE Energy Storage Systems Program (ESS) conducted a record-breaking Update Conference at...

  3. Energy Storage Systems 2010 Update Conference Presentations ...

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

    chaired by DOE's Imre Gyuk, are below. ESS 2010 Update Conference - UltraBattery Grid Storage - John Wood, Ecoult.pdf ESS 2010 Update Conference - PV Plus Storage for Simultaneous...

  4. Energy Storage Systems 2010 Update Conference Presentations ...

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

    3 Energy Storage Systems 2010 Update Conference Presentations - Day 1, Session 3 The U.S. DOE Energy Storage Systems Program (ESS) conducted a record-breaking Update Conference at...

  5. Catalog Update 2006 International Education Abroad 1

    E-Print Network [OSTI]

    Gering, Jon C.

    Catalog Update 2006 International Education Abroad 1 INTERNATIONAL EDUCATION ABROAD 2005-2007 CATALOG UPDATE Changes effective 2006-2007 New Courses CHN 310 China Summer Study Abroad Program 6-7 hours

  6. Baton Rouge Metropolitan Transportation Plan Update

    E-Print Network [OSTI]

    Capital Region Planning Commission

    (028) SUBMITTED TO: LOUISIANA DEPARTMENT OF TRANSPORTATION AND DEVELOPMENT SUBMITTED BY: IN ASSOCIATION WITH: & FINAL Metropolitan Transportation Plan Update Baton Rouge, LA... ............................189? X. APPENDIX .........................................................................................................................195? ? Metropolitan Transportation Plan Update...

  7. DSO216_Phase_II_Summary_Updates

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

    Summary of DSO 216 - Phase II Update Limiting Wind Output to Scheduled Value and Curtailing Schedules to Actual Wind Generation Updated: December 13, 2013 I. PURPOSE The purpose of...

  8. Revised Economic andRevised Economic and Demand ForecastsDemand Forecasts

    E-Print Network [OSTI]

    and retail electricity prices Incorporated CO2 cost adder in all fuel prices Updated Residential, Commercial. #12;4 Retail Rates and Impact of CO2Retail Rates and Impact of CO2 Emission CostsEmission Costs to $120 dollars by 2030 ($2006) By 2030, the CO2 component of the electricity bill represents about 17

  9. FY 1996 solid waste integrated life-cycle forecast characteristics summary. Volumes 1 and 2

    SciTech Connect (OSTI)

    Templeton, K.J.

    1996-05-23T23:59:59.000Z

    For the past six years, a waste volume forecast has been collected annually from onsite and offsite generators that currently ship or are planning to ship solid waste to the Westinghouse Hanford Company`s Central Waste Complex (CWC). This document provides a description of the physical waste forms, hazardous waste constituents, and radionuclides of the waste expected to be shipped to the CWC from 1996 through the remaining life cycle of the Hanford Site (assumed to extend to 2070). In previous years, forecast data has been reported for a 30-year time period; however, the life-cycle approach was adopted this year to maintain consistency with FY 1996 Multi-Year Program Plans. This document is a companion report to two previous reports: the more detailed report on waste volumes, WHC-EP-0900, FY1996 Solid Waste Integrated Life-Cycle Forecast Volume Summary and the report on expected containers, WHC-EP-0903, FY1996 Solid Waste Integrated Life-Cycle Forecast Container Summary. All three documents are based on data gathered during the FY 1995 data call and verified as of January, 1996. These documents are intended to be used in conjunction with other solid waste planning documents as references for short and long-term planning of the WHC Solid Waste Disposal Division`s treatment, storage, and disposal activities over the next several decades. This document focuses on two main characteristics: the physical waste forms and hazardous waste constituents of low-level mixed waste (LLMW) and transuranic waste (both non-mixed and mixed) (TRU(M)). The major generators for each waste category and waste characteristic are also discussed. The characteristics of low-level waste (LLW) are described in Appendix A. In addition, information on radionuclides present in the waste is provided in Appendix B. The FY 1996 forecast data indicate that about 100,900 cubic meters of LLMW and TRU(M) waste is expected to be received at the CWC over the remaining life cycle of the site. Based on ranges provided by the waste generators, this baseline volume could fluctuate between a minimum of about 59,720 cubic meters and a maximum of about 152,170 cubic meters. The range is primarily due to uncertainties associated with the Tank Waste Remediation System (TWRS) program, including uncertainties regarding retrieval of long-length equipment, scheduling, and tank retrieval technologies.

  10. Updated 17 March 2012 Curriculum Vitae

    E-Print Network [OSTI]

    Richardson, David

    and Bioeconomy, 2011 Member, AAAS Committee on Science, Engineering and Public Policy, 2011-2014 #12;Updated 17

  11. Updated Cost Analysis of Photobiological Hydrogen Production...

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

    Analysis of Photobiological Hydrogen Production from Chlamydomonas reinhardtii Green Algae: Milestone Completion Report Updated Cost Analysis of Photobiological Hydrogen...

  12. Roadmap: Technology Bachelor of Science [AT-BS-TECH

    E-Print Network [OSTI]

    Sheridan, Scott

    Roadmap: Technology ­ Bachelor of Science [AT-BS-TECH] College of Applied Engineering, Sustainability and Technology Catalog Year: 2012­2013 Page 1 of 2 | Last Updated: 1-June-12/JS This roadmap-division hours #12;Roadmap: Technology ­ Bachelor of Science [AT-BS-TECH] College of Applied Engineering

  13. CO2 Emissions Mitigation and Technological Advance: An

    E-Print Network [OSTI]

    PNNL-18075 CO2 Emissions Mitigation and Technological Advance: An Updated Analysis of Advanced/2003) #12;PNNL-18075 CO2 Emissions Mitigation and Technological Advance: An Analysis of Advanced Technology of atmospheric CO2 concentrations at 450 parts per million by volume (ppmv) and 550 ppmv in MiniCAM. Each

  14. Update of Part 61 Impacts Analysis Methodology. Methodology report. Volume 1

    SciTech Connect (OSTI)

    Oztunali, O.I.; Roles, G.W.

    1986-01-01T23:59:59.000Z

    Under contract to the US Nuclear Regulatory Commission, the Envirosphere Company has expanded and updated the impacts analysis methodology used during the development of the 10 CFR Part 61 rule to allow improved consideration of the costs and impacts of treatment and disposal of low-level waste that is close to or exceeds Class C concentrations. The modifications described in this report principally include: (1) an update of the low-level radioactive waste source term, (2) consideration of additional alternative disposal technologies, (3) expansion of the methodology used to calculate disposal costs, (4) consideration of an additional exposure pathway involving direct human contact with disposed waste due to a hypothetical drilling scenario, and (5) use of updated health physics analysis procedures (ICRP-30). Volume 1 of this report describes the calculational algorithms of the updated analysis methodology.

  15. Optimally controlling hybrid electric vehicles using path forecasting

    E-Print Network [OSTI]

    Katsargyri, Georgia-Evangelina

    2008-01-01T23:59:59.000Z

    Hybrid Electric Vehicles (HEVs) with path-forecasting belong to the class of fuel efficient vehicles, which use external sensory information and powertrains with multiple operating modes in order to increase fuel economy. ...

  16. Recently released EIA report presents international forecasting data

    SciTech Connect (OSTI)

    NONE

    1995-05-01T23:59:59.000Z

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

  17. Grid-scale Fluctuations and Forecast Error in Wind Power

    E-Print Network [OSTI]

    G. Bel; C. P. Connaughton; M. Toots; M. M. Bandi

    2015-03-29T23:59:59.000Z

    The fluctuations in wind power entering an electrical grid (Irish grid) were analyzed and found to exhibit correlated fluctuations with a self-similar structure, a signature of large-scale correlations in atmospheric turbulence. The statistical structure of temporal correlations for fluctuations in generated and forecast time series was used to quantify two types of forecast error: a timescale error ($e_{\\tau}$) that quantifies the deviations between the high frequency components of the forecast and the generated time series, and a scaling error ($e_{\\zeta}$) that quantifies the degree to which the models fail to predict temporal correlations in the fluctuations of the generated power. With no $a$ $priori$ knowledge of the forecast models, we suggest a simple memory kernel that reduces both the timescale error ($e_{\\tau}$) and the scaling error ($e_{\\zeta}$).

  18. OCTOBER-NOVEMBER FORECAST FOR 2014 CARIBBEAN BASIN HURRICANE ACTIVITY

    E-Print Network [OSTI]

    Collett Jr., Jeffrey L.

    and hurricanes, but instead predicts both hurricane days and Accumulated Cyclone Energy (ACE). Typically, while) tropical cyclone (TC) activity. We have decided to issue this forecast, because Klotzbach (2011) has

  19. Network Bandwidth Utilization Forecast Model on High Bandwidth Network

    SciTech Connect (OSTI)

    Yoo, Wucherl; Sim, Alex

    2014-07-07T23:59:59.000Z

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

  20. A methodology for forecasting carbon dioxide flooding performance

    E-Print Network [OSTI]

    Marroquin Cabrera, Juan Carlos

    1998-01-01T23:59:59.000Z

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

  1. The Rationality of EIA Forecasts under Symmetric and Asymmetric Loss

    E-Print Network [OSTI]

    Auffhammer, Maximilian

    2005-01-01T23:59:59.000Z

    Agency: 1982-2005a, Annual Energy Outlook, EIA, Washington,Agency: 2004, Annual Energy Outlook Forecast Evaluation,Agency: 2005b, Annual Energy Outlook, EIA, Washington, D.C.

  2. The Rationality of EIA Forecasts under Symmetric and Asymmetric Loss

    E-Print Network [OSTI]

    Auffhammer, Maximilian

    2005-01-01T23:59:59.000Z

    2005a, Annual Energy Outlook, EIA, Washington, D.C. Energy2005b, Annual Energy Outlook, EIA, Washington, D.C. Granger,Paper ???? The Rationality of EIA Forecasts under Symmetric

  3. Forecasting and strategic inventory placement for gas turbine aftermarket spares

    E-Print Network [OSTI]

    Simmons, Joshua T. (Joshua Thomas)

    2007-01-01T23:59:59.000Z

    This thesis addresses the problem of forecasting demand for Life Limited Parts (LLPs) in the gas turbine engine aftermarket industry. It is based on work performed at Pratt & Whitney, a major producer of turbine engines. ...

  4. Optimally Controlling Hybrid Electric Vehicles using Path Forecasting

    E-Print Network [OSTI]

    Kolmanovsky, Ilya V.

    The paper examines path-dependent control of Hybrid Electric Vehicles (HEVs). In this approach we seek to improve HEV fuel economy by optimizing charging and discharging of the vehicle battery depending on the forecasted ...

  5. Post-Construction Evaluation of Forecast Accuracy Pavithra Parthasarathi1

    E-Print Network [OSTI]

    Levinson, David M.

    Post-Construction Evaluation of Forecast Accuracy Pavithra Parthasarathi1 David Levinson 2 February, the assumed networks to the actual in-place networks and other travel behavior assumptions that went

  6. africa conditional forecasts: Topics by E-print Network

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

    forecasts had the potential to improve resource management but instead played only a marginal role in real-world decision making. 1 A widespread perception that the quality of the...

  7. accident risk forecasting: Topics by E-print Network

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

    forecasts had the potential to improve resource management but instead played only a marginal role in real-world decision making. 1 A widespread perception that the quality of the...

  8. Forecasting Volatility in Stock Market Using GARCH Models

    E-Print Network [OSTI]

    Yang, Xiaorong

    2008-01-01T23:59:59.000Z

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

  9. Forecasting Returns and Volatilities in GARCH Processes Using the Bootstrap

    E-Print Network [OSTI]

    Romo, Juan

    Forecasting Returns and Volatilities in GARCH Processes Using the Bootstrap Lorenzo Pascual, Juan generated by GARCH processes. The main advantage over other bootstrap methods previously proposed for GARCH by having conditional heteroscedasticity. Generalized Autoregressive Conditionally Heteroscedastic (GARCH

  10. Adaptive sampling and forecasting with mobile sensor networks

    E-Print Network [OSTI]

    Choi, Han-Lim

    2009-01-01T23:59:59.000Z

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

  11. Dispersion in analysts' forecasts: does it make a difference? 

    E-Print Network [OSTI]

    Adut, Davit

    2004-09-30T23:59:59.000Z

    Financial analysts are an important group of information intermediaries in the capital markets. Their reports, including both earnings forecasts and stock recommendations, are widely transmitted and have a significant impact on stock prices (Womack...

  12. FINAL DEMAND FORECAST FORMS AND INSTRUCTIONS FOR THE 2007

    E-Print Network [OSTI]

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

  13. An econometric analysis and forecasting of Seoul office market

    E-Print Network [OSTI]

    Kim, Kyungmin

    2011-01-01T23:59:59.000Z

    This study examines and forecasts the Seoul office market, which is going to face a big supply in the next few years. After reviewing several previous studies on the Dynamic model and the Seoul Office market, this thesis ...

  14. Improving the Accuracy of Solar Forecasting Funding Opportunity

    Broader source: Energy.gov [DOE]

    Through the Improving the Accuracy of Solar Forecasting Funding Opportunity, DOE is funding solar projects that are helping utilities, grid operators, solar power plant owners, and other...

  15. Variable Selection and Inference for Multi-period Forecasting Problems

    E-Print Network [OSTI]

    Pesaran, M Hashem; Pick, Andreas; Timmermann, Allan

    Variable Selection and Inference for Multi-period Forecasting Problems? M. Hashem Pesaran Cambridge University and USC Andreas Pick De Nederlandsche Bank and Cambridge University, CIMF Allan Timmermann UC San Diego and CREATES January 26, 2009...

  16. Grid-scale Fluctuations and Forecast Error in Wind Power

    E-Print Network [OSTI]

    Bel, G; Toots, M; Bandi, M M

    2015-01-01T23:59:59.000Z

    The fluctuations in wind power entering an electrical grid (Irish grid) were analyzed and found to exhibit correlated fluctuations with a self-similar structure, a signature of large-scale correlations in atmospheric turbulence. The statistical structure of temporal correlations for fluctuations in generated and forecast time series was used to quantify two types of forecast error: a timescale error ($e_{\\tau}$) that quantifies the deviations between the high frequency components of the forecast and the generated time series, and a scaling error ($e_{\\zeta}$) that quantifies the degree to which the models fail to predict temporal correlations in the fluctuations of the generated power. With no $a$ $priori$ knowledge of the forecast models, we suggest a simple memory kernel that reduces both the timescale error ($e_{\\tau}$) and the scaling error ($e_{\\zeta}$).

  17. Dispersion in analysts' forecasts: does it make a difference?

    E-Print Network [OSTI]

    Adut, Davit

    2004-09-30T23:59:59.000Z

    Financial analysts are an important group of information intermediaries in the capital markets. Their reports, including both earnings forecasts and stock recommendations, are widely transmitted and have a significant impact on stock prices (Womack...

  18. Mesoscale predictability and background error convariance estimation through ensemble forecasting

    E-Print Network [OSTI]

    Ham, Joy L

    2002-01-01T23:59:59.000Z

    Over the past decade, ensemble forecasting has emerged as a powerful tool for numerical weather prediction. Not only does it produce the best estimate of the state of the atmosphere, it also could quantify the uncertainties associated with the best...

  19. Opportunity for feedback Opportunity for updates

    E-Print Network [OSTI]

    Opportunity for feedback Opportunity for updates Opportunity to find out all of the things I don) What do these all mean? Vision (1) Values (5-10) Strategic Priorities (5-7) Education, scholarship update Research Plan Pinnacles or not? Focus on impact Update every 3 yrs Capital Plan Existing

  20. ECONOMICS UPDATE Issue 1 Autumn 2014

    E-Print Network [OSTI]

    Levi, Ran

    ECONOMICS UPDATE Issue 1 Economics Update Autumn 2014 UNIVERSITY OF ABERDEEN ­ DEPARTMENT OF ECONOMICS IN THIS ISSUE Welcome to the first Economics update! In this twice-yearly publication, we. In the Research Assessment Exercise results of 2008, 100% of Economics research, was judged to be of international