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


1

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

Accuracy of near real time updates in wind power forecasting  

E-Print Network [OSTI]

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

Heinemann, Detlev

6

CSUF ECONOMIC OUTLOOK AND FORECASTS MIDYEAR UPDATE -APRIL 2014  

E-Print Network [OSTI]

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

de Lijser, Peter

7

PAVEMENT TECHNOLOGY UPDATE This Technology Transfer Program  

E-Print Network [OSTI]

PAVEMENT TECHNOLOGY UPDATE This Technology Transfer Program publication is funded by the Division to them in California. TECHNOLOGY TRANSFER PROGRAM MAY 2011, VOL. 3, NO. 1 California's Transition

California at Berkeley, University of

8

PAVEMENT TECHNOLOGY UPDATE This Technology Transfer Program  

E-Print Network [OSTI]

PAVEMENT TECHNOLOGY UPDATE This Technology Transfer Program publication is funded by the Division of asphalt pavements. TECHNOLOGY TRANSFER PROGRAM JULY 2010, VOL. 2, NO. 1 Warm Mix Asphalt Hits the Road, and California LTAP Field Engineer, Technology Transfer Program, Institute of Transportation Studies, UC Berkeley

California at Berkeley, University of

9

PAVEMENT TECHNOLOGY UPDATE This Technology Transfer Program  

E-Print Network [OSTI]

PAVEMENT TECHNOLOGY UPDATE This Technology Transfer Program publication is funded by the Division solve the very serious problem of waste tire disposal. TECHNOLOGY TRANSFER PROGRAM SEPTEMBER 2009, VOL, University of California Pavement Research Center, and California LTAP Field Engineer, Technology Transfer

California at Berkeley, University of

10

Geothermal drilling technology update  

SciTech Connect (OSTI)

Sandia National Laboratories conducts a comprehensive geothermal drilling research program for the US Department of Energy, Office of Geothermal Technologies. The program currently includes seven areas: lost circulation technology, hard-rock drill bit technology, high-temperature instrumentation, wireless data telemetry, slimhole drilling technology, Geothermal Drilling Organization (GDO) projects, and drilling systems studies. This paper describes the current status of the projects under way in each of these program areas.

Glowka, D.A.

1997-04-01T23:59:59.000Z

11

CALIFORNIA ENERGY COMMISSION0 Annual Update to the Forecasted  

E-Print Network [OSTI]

Values in TWh forthe Year2022 Formula Mid Demand Forecast Renewable Net High Demand Forecast Renewable Net Low Demand Forecast Renewable Net #12;CALIFORNIA ENERGY COMMISSION5 Demand Forecast · Retail Sales Forecast from California Energy Demand 2012 2022(CED 2011), Adopted Forecast* ­ Form 1.1c · Demand Forecast

12

Retail Lighting: Title 24 & Technology Update  

E-Print Network [OSTI]

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

California at Davis, University of

13

CSUF Economic Outlook and Forecasts MidYear Update -April 2013  

E-Print Network [OSTI]

CSUF Economic Outlook and Forecasts MidYear Update - April 2013 Anil Puri & Mira Farka Mihaylo College of Business and Economics California State University, Fullerton U.S. Economic Outlook to the forecast and a are-up in the region can easily derail the global economic recovery. Nonetheless

de Lijser, Peter

14

Office Lighting: Title 24 & Technology Update  

E-Print Network [OSTI]

Office Lighting: Title 24 & Technology Update Kelly Cunningham Outreach Director kcunning@ucdavis.edu California Lighting Technology Center, UC Davis RESEARCH . INNOVATION . PARTNERSHIP Supporting compliance apply the Title 24 Building Energy Efficiency Standards code requirements specific to lighting

California at Davis, University of

15

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

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

Update on Diesel Exhaust Emission Control Technology and Regulations Update on Diesel Exhaust Emission Control Technology and Regulations 2004 Diesel Engine Emissions Reduction...

16

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...

17

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

SciTech Connect (OSTI)

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

Lantz, E.; Hand, M.

2010-05-01T23:59:59.000Z

18

Clean coal technology programs: program update 2006  

SciTech Connect (OSTI)

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.

NONE

2006-09-15T23:59:59.000Z

19

Clean Coal Technology Programs: Program Update 2009  

SciTech Connect (OSTI)

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.

None

2009-10-01T23:59:59.000Z

20

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...

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


21

Residential Lighting: Title 24 and Technology Update  

E-Print Network [OSTI]

Residential Lighting: Title 24 and Technology Update Best practices in lighting design to comply;INTRODUCTION Course Topics Part 1: Technology Overview · Common lighting terminology · Residential lighting residential lighting regulation · Design examples to reach or exceed code Part 5: Compliance Process · Step

California at Davis, University of

22

Continuous Model Updating and Forecasting for a Naturally Fractured Reservoir  

E-Print Network [OSTI]

result in suboptimal decisions and huge disappointments (see Sec. 1.2.2) Reservoir simulation literature indicates that an acceptable level of matching historical reservoir performance is required to establish reliable forecasts. However, this does... and field production. Such capabilities enable continuous and automatic fine-tuning of production controls to optimize project economics and/or some well or reservoir performance stated objective. Remotely activated sub-surface valves on ?smart wells...

Almohammadi, Hisham

2013-07-26T23:59:59.000Z

23

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

E-Print Network [OSTI]

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

Boyer, Edmond

24

THE IDAHO NATIONAL LABORATORY BERYLLIUM TECHNOLOGY UPDATE  

SciTech Connect (OSTI)

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

Glen R. Longhurst

2007-12-01T23:59:59.000Z

25

nanotechweb.org TECHNOLOGY UPDATE  

E-Print Network [OSTI]

.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

Rogers, John A.

26

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

SciTech Connect (OSTI)

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.

Pennock, K.

2012-10-01T23:59:59.000Z

27

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

E-Print Network [OSTI]

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...

Lang, K.

1982-01-01T23:59:59.000Z

28

Leak detection, monitoring, and mitigation technology trade study update  

SciTech Connect (OSTI)

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.

HERTZEL, J.S.

1998-11-10T23:59:59.000Z

29

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

E-Print Network [OSTI]

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

Liu, Chang

2009-05-15T23:59:59.000Z

30

Updated October 24, 2011 Illinois Institute of Technology  

E-Print Network [OSTI]

Updated October 24, 2011 Illinois Institute of Technology Housing & Residential Services Student posters, paper, tape, sticky tack, etc from all surfaces; · Wipe clean all walls and furniture; · If living in an apartment, wipe clean the kitchen appliances, cabinets, and floor; and clean the bathroom

Heller, Barbara

31

Updated March 12, 2012 Illinois Institute of Technology  

E-Print Network [OSTI]

Updated March 12, 2012 Illinois Institute of Technology Housing & Residential Services Student posters, paper, tape, sticky tack, etc from all surfaces; · Wipe clean all walls and furniture; · If living in an apartment, wipe clean the kitchen appliances, cabinets, and floor; and clean the bathroom

Heller, Barbara

32

Updated September 26, 2013 Illinois Institute of Technology  

E-Print Network [OSTI]

Updated September 26, 2013 Illinois Institute of Technology Housing & Residential Services Student beds, etc); · Remove posters, paper, tape, sticky tack, etc from all surfaces; · Wipe clean all walls and furniture; · If living in an apartment, wipe clean the kitchen appliances, cabinets, and floor; and clean

Heller, Barbara

33

Brayton Solvent Recovery Heat Pump Technology Update  

E-Print Network [OSTI]

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...

Enneking, J. C.

34

Geo energy research and development: technology transfer update  

SciTech Connect (OSTI)

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.

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

1983-01-01T23:59:59.000Z

35

STAFF FORECAST OF 2007 PEAK STAFFREPORT  

E-Print Network [OSTI]

CALIFORNIA ENERGY COMMISSION STAFF FORECAST OF 2007 PEAK DEMAND STAFFREPORT June 2006 CEC-400....................................................................... .................11 Tables Table 1: Revised versus September 2005 Peak Demand Forecast ......................... 2.............................................................................................. 10 #12;Introduction and Background This document describes staff's updated 2007 peak demand forecasts

36

2009 CAPS Spring Forecast Program Plan  

E-Print Network [OSTI]

package. · Two 18 UTC update forecasts on demand basis, with the same domain and configuration, running2009 CAPS Spring Forecast Experiment Program Plan April 20, 2009 #12;2 Table of Content 1. Overview .......................................................................................................4 3. Forecast System Configuration

Droegemeier, Kelvin K.

37

Technology data characterizing refrigeration in commercial buildings: Application to end-use forecasting with COMMEND 4.0  

SciTech Connect (OSTI)

In the United States, energy consumption is increasing most rapidly in the commercial sector. Consequently, the commercial sector is becoming an increasingly important target for state and federal energy policies and also for utility-sponsored demand side management (DSM) programs. The rapid growth in commercial-sector energy consumption also makes it important for analysts working on energy policy and DSM issues to have access to energy end-use forecasting models that include more detailed representations of energy-using technologies in the commercial sector. These new forecasting models disaggregate energy consumption not only by fuel type, end use, and building type, but also by specific technology. The disaggregation of the refrigeration end use in terms of specific technologies, however, is complicated by several factors. First, the number of configurations of refrigeration cases and systems is quite large. Also, energy use is a complex function of the refrigeration-case properties and the refrigeration-system properties. The Electric Power Research Institute`s (EPRI`s) Commercial End-Use Planning System (COMMEND 4.0) and the associated data development presented in this report attempt to address the above complications and create a consistent forecasting framework. Expanding end-use forecasting models so that they address individual technology options requires characterization of the present floorstock in terms of service requirements, energy technologies used, and cost-efficiency attributes of the energy technologies that consumers may choose for new buildings and retrofits. This report describes the process by which we collected refrigeration technology data. The data were generated for COMMEND 4.0 but are also generally applicable to other end-use forecasting frameworks for the commercial sector.

Sezgen, O.; Koomey, J.G.

1995-12-01T23:59:59.000Z

38

Consensus Coal Production And Price Forecast For  

E-Print Network [OSTI]

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

Mohaghegh, Shahab

39

Update on Diesel Exhaust Emission Control Technology and Regulations  

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

Control Technology and Regulations Tim Johnson August 2004 2 Diesel emission control technology is making significant progress * Diesel regulations are getting tighter in all...

40

Clean Coal Technology Demonstration Program. Program update 1995  

SciTech Connect (OSTI)

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

NONE

1996-04-01T23:59:59.000Z

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


41

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

SciTech Connect (OSTI)

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.

Mc Dannel, Gary Eidson

2001-09-01T23:59:59.000Z

42

Technology data characterizing space conditioning in commercial buildings: Application to end-use forecasting with COMMEND 4.0  

SciTech Connect (OSTI)

In the US, energy consumption is increasing most rapidly in the commercial sector. Consequently, the commercial sector is becoming an increasingly important target for state and federal energy policies and also for utility-sponsored demand side management (DSM) programs. The rapid growth in commercial-sector energy consumption also makes it important for analysts working on energy policy and DSM issues to have access to energy end-use forecasting models that include more detailed representations of energy-using technologies in the commercial sector. These new forecasting models disaggregate energy consumption not only by fuel type, end use, and building type, but also by specific technology. The disaggregation of space conditioning end uses in terms of specific technologies is complicated by several factors. First, the number of configurations of heating, ventilating, and air conditioning (HVAC) systems and heating and cooling plants is very large. Second, the properties of the building envelope are an integral part of a building`s HVAC energy consumption characteristics. Third, the characteristics of commercial buildings vary greatly by building type. The Electric Power Research Institute`s (EPRI`s) Commercial End-Use Planning System (COMMEND 4.0) and the associated data development presented in this report attempt to address the above complications and create a consistent forecasting framework. This report describes the process by which the authors collected space-conditioning technology data and then mapped it into the COMMEND 4.0 input format. The data are also generally applicable to other end-use forecasting frameworks for the commercial sector.

Sezgen, O.; Franconi, E.M.; Koomey, J.G.; Greenberg, S.E.; Afzal, A.; Shown, L.

1995-12-01T23:59:59.000Z

43

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

E-Print Network [OSTI]

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. ...

Thuvara, Vineet

2006-01-01T23:59:59.000Z

44

Clean Coal Technology Demonstration Program. Program update 1994  

SciTech Connect (OSTI)

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.

NONE

1995-04-01T23:59:59.000Z

45

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

E-Print Network [OSTI]

development of power devices is a critical aspect of the power electronic industry along with new topologies temperature SiC based inverters for automotive and power system applications. Research involves work on highUPDATE ON SIC-BASED INVERTER TECHNOLOGY Abstract ­ This paper presents a study of Silicon Carbide

Tolbert, Leon M.

46

Clean Coal Technology Demonstration Program: Program update 1993  

SciTech Connect (OSTI)

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.

Not Available

1994-03-01T23:59:59.000Z

47

INNOVATION MARKETPLACE A QUARTERLY UPDATE OF AVAILABLE TECHNOLOGIES...  

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

Switching Device Highlights From Past Issues * Microsystems Enabled Photovoltaics (MEPV): Solar Glitter(tm) Photovoltaic Technology * Wireless Passive Radiation Sensor * Embedded...

48

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

SciTech Connect (OSTI)

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)

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

1980-07-01T23:59:59.000Z

49

Clean Coal Technology Demonstration Program: Program Update 2000  

SciTech Connect (OSTI)

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.

Assistant Secretary for Fossil Energy

2001-04-01T23:59:59.000Z

50

Clean Coal Technology Demonstration Program: Program Update 1999  

SciTech Connect (OSTI)

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.

Assistant Secretary for Fossil Energy

2000-04-01T23:59:59.000Z

51

Clean Coal Technology Demonstration Program: Program Update 2001  

SciTech Connect (OSTI)

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.

Assistant Secretary for Fossil Energy

2002-07-30T23:59:59.000Z

52

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

SciTech Connect (OSTI)

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.

Assistant Secretary for Fossil Energy

2003-12-01T23:59:59.000Z

53

Clean Coal Technology Demonstration Program: Program Update 1998  

SciTech Connect (OSTI)

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.

Assistant Secretary for Fossil Energy

1999-03-01T23:59:59.000Z

54

last updated 12/05/2013 Deliverable Quarter Due (Draft!)  

E-Print Network [OSTI]

Forecast Q3 2014 Draft Results of Flexibility and Balancing Analysis Q4 2014 Demand Forecast Updated Q4, forecasts and other inputs Ongoing Narratives on Power Planning Topics and Issues (RSAC) Identify Topics 2014 Load Forecast Updated Q4 2014 Conservation Supply Curves Updated Q4 2014 Conceptual Definition

55

Clean coal technology demonstration program: Program update 1996-97  

SciTech Connect (OSTI)

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.

NONE

1997-10-01T23:59:59.000Z

56

Forecast Correlation Coefficient Matrix of Stock Returns in Portfolio Analysis  

E-Print Network [OSTI]

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

Zhao, Feng

2013-01-01T23:59:59.000Z

57

Status Update for Implementation of Best Available Technology per DOE Order 5400.5  

SciTech Connect (OSTI)

This report provides an update, as of July 1999, on the implementation of best available technology to control or eliminate radionuclide discharges to soil columns at facilities at the Idaho National Engineering and Environmental Laboratory in accordance with DOE Order 5400.5, ''Radiation Protection of the Public and Environment.'' The best available technology to reduce or eliminate radionuclide discharges to soil columns currently implemented by the different facilities appears to be generally effective. Therefore, the different facilities should continue their current best available technology approaches, and also implement the specific recommendations listed in this report for their respective facility.

C. A. Major

1999-07-01T23:59:59.000Z

58

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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear SecurityTensile Strain Switched Ferromagnetism inS-4500II Field Emission SEM with EDAX (For3WebinarUpdate on

59

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

SciTech Connect (OSTI)

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.

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

1994-05-01T23:59:59.000Z

60

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.

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


61

Slimhole Drilling, Logging, and Completion Technology - An Update  

SciTech Connect (OSTI)

Using slim holes (diameter < 15 cm) for geothermal exploration and small-scale power production can produce significant cost savings compared to conventional rotary-drilling methods. In addition, data obtained from slim holes can be used to lower the risks and costs associated with the drilling and completion of large-diameter geothermal wells. As a prime contractor to the U.S. Department of Energy (DOE), Sandia National Laboratories has worked with industry since 1992 to develop and promote drilling, testing, and logging technology for slim holes. This paper describes the current status of work done both in-house and contracted to industry. It focuses on drilling technology, case histories of slimhole drilling projects, data collection and rig instrumentation, and high-temperature logging tools.

FINGER,JOHN T.; JACOBSON,RONALD D.

1999-10-07T23:59:59.000Z

62

Forecast Technical Document Forecast Types  

E-Print Network [OSTI]

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

63

Updated U.S. Geothermal Supply Characterization  

SciTech Connect (OSTI)

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.

Petty, S.; Porro, G.

2007-03-01T23:59:59.000Z

64

PROBLEMS OF FORECAST1 Dmitry KUCHARAVY  

E-Print Network [OSTI]

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

Paris-Sud XI, Université de

65

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

66

Solar forecasting review  

E-Print Network [OSTI]

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

Inman, Richard Headen

2012-01-01T23:59:59.000Z

67

Solar Forecasting  

Broader source: Energy.gov [DOE]

On December 7, 2012, DOE announced $8 million to fund two solar projects that are helping utilities and grid operators better forecast when, where, and how much solar power will be produced at U.S....

68

Forecast Technical Document Restocking in the Forecast  

E-Print Network [OSTI]

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

69

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

70

1993 Solid Waste Reference Forecast Summary  

SciTech Connect (OSTI)

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

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

1993-08-01T23:59:59.000Z

71

Cost update technology, safety, and costs of decommissioning a reference uranium hexafluoride conversion plant  

SciTech Connect (OSTI)

The purpose of this study is to update the cost estimates developed in a previous report, NUREG/CR-1757 (Elder 1980) for decommissioning a reference uranium hexafluoride conversion plant from the original mid-1981 dollars to values representative of January 1993. The cost updates were performed by using escalation factors derived from cost index trends over the past 11.5 years. Contemporary price quotes wee used for costs that have increased drastically or for which is is difficult to find a cost trend. No changes were made in the decommissioning procedures or cost element requirements assumed in NUREG/CR-1757. This report includes only information that was changed from NUREG/CR-1757. Thus, for those interested in detailed descriptions and associated information for the reference uranium hexafluoride conversion plant, a copy of NUREG/CR-1757 will be needed.

Miles, T.L.; Liu, Y.

1995-08-01T23:59:59.000Z

72

> BUREAU HOME > AUSTRALIA > QUEENSLAND > FORECASTS FORECAST IMPROVEMENTS  

E-Print Network [OSTI]

> BUREAU HOME > AUSTRALIA > QUEENSLAND > FORECASTS BRISBANE FORECAST IMPROVEMENTS The Bureau of Meteorology is progressively upgrading its forecast system to provide more detailed forecasts across Australia and Sunshine Coast. FURTHER INFORMATION : www.bom.gov.au/NexGenFWS © Commonwealth of Australia, 2013 Links

Greenslade, Diana

73

Inverse Modelling to Forecast Enclosure Fire Dynamics   

E-Print Network [OSTI]

. This thesis proposes and studies a method to use measurements of the real event in order to steer and accelerate fire simulations. This technology aims at providing forecasts of the fire development with a positive lead time, i.e. the forecast of future events...

Jahn, Wolfram

74

Nonparametric models for electricity load forecasting  

E-Print Network [OSTI]

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

Genève, Université de

75

Forecasted Opportunities  

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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth7-1D: Vegetation ProposedUsing ZirconiaPolicyFeasibilityFieldMinds" |beamtheFor yourForForecasted

76

IEEE Trans. on Components and Packaging Technologies, Dec. 2000, pp. 707-717 1 Electronic Part Life Cycle Concepts and Obsolescence Forecasting  

E-Print Network [OSTI]

Cycle Concepts and Obsolescence Forecasting Rajeev Solomon, Peter Sandborn, and Michael Pecht Abstract ­ Obsolescence of electronic parts is a major contributor to the life cycle cost of long- field life systems such as avionics. A methodology to forecast life cycles of electronic parts is presented, in which both years

Sandborn, Peter

77

Solar forecasting review  

E-Print Network [OSTI]

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:

Inman, Richard Headen

2012-01-01T23:59:59.000Z

78

Using Belief Functions to Forecast Demand for Mobile Satellite Services  

E-Print Network [OSTI]

Using Belief Functions to Forecast Demand for Mobile Satellite Services Peter McBurney and Simon.j.mcburney,s.d.parsonsg@elec.qmw.ac.uk Abstract. This paper outlines an application of belief functions to forecasting the demand for a new service in a new category, based on new technology. Forecasting demand for a new product or service

McBurney, Peter

79

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...

80

Status Update for Implementing Best Available Technology per DOE Order 5400.5  

SciTech Connect (OSTI)

This report identifies discharges of liquid waste streams that require documentation of the best available technology selection process at Bechtel BWXT Idaho, LLC, operated facilities at the Idaho National Engineering and Environmental Laboratory. The best available technology selection process is conducted according to Department of Energy Order 5400.5, Chapter II (3), ''Management and Control of Radioactive Materials in Liquid Discharges and Phaseout of Soil Columns'' and Department of Energy guidance. This report evaluates only those liquid waste streams and facilities where the best available technology selection process was determined to be applicable. In addition, the Department of Energy Idaho Operations Office will submit this report to their field office manager for approval according to DOE Order 5400.5, Chapter II, Section 3.b.(1). According to Department of Energy guidance, ''If the liquid waste stream is below maximum contaminant levels, then the goals of the best available technology selection process are being met and the liquid waste stream is considered 'clean water.' However, it is necessary to document this through the best available technology selection process.'' Because liquid waste streams below drinking water maximum contaminant levels are already considered ''clean water,'' additional treatment technologies are considered unnecessary and unjustifiable on a cost-benefit basis and are not addressed in this report. Two facilities (Idaho Nuclear Technology and Engineering Center New Percolation Ponds and Test Area North/Technical Support Facility Disposal Pond) at the Idaho National Engineering and Environmental Laboratory required documentation of the best available technology selection process (Section 4). These two facilities required documentation of the best available technology selection process because they discharge wastewater that may contain process-derived radionuclides to a soil column even though the average radioactivity levels are typically below drinking water maximum contaminant levels. At the request of the Department of Energy Idaho Operations Office, the 73.5-acre Central Facilities Area Sewage Treatment Plant land application site is included in Section 4 of this report to ensure the requirements of DOE Order 5400.5, Chapter II, Section 3 are met. The Central Facilities Area Sewage Treatment Plant effluent contains process-derived radionuclides from radioactive tracers used in certain analytical procedures. The radioactivity levels of these radionuclides are below maximum contaminant levels.

Michael G. Lewis

2003-09-01T23:59:59.000Z

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


81

Status Update for Implementing Best Available Technology per DOE Order 5400.5  

SciTech Connect (OSTI)

This report documents the Bechtel BWXT Idaho, LCC, operated facilities at the Idaho National Engineering and Environmental Laboratory that require the Best Available Technology selection process in accordance with Department of Energy Order 5400.5, Chapter II (3), “Management and Control of Radioactive Materials in Liquid Discharges.”1 This report differs from previous reports in that only those liquid waste streams and facilities requiring the Best Available Technology selection process will be evaluated in detail. In addition, this report will be submitted to the DOE-ID Field Office Manager for approval in accordance with DOE Order 5400.5, Chapter II, Section 3.b.(1). The report also identifies facilities addressed in last year’s report that do not require the Best Available Technology selection process to be completed. These facilities will not be addressed in future reports. This report reviews the following facilities: • Auxiliary Reactor Area • Idaho National Engineering and Environmental Laboratory Block Areas • Central Facilities Area • Idaho Nuclear Technology and Engineering Center • Idaho Falls Facilities • Power Burst Facility • Radioactive Waste Management Complex • Test Area North • Test Reactor Area. Three facilities (Central Facilities Area Sewage Treatment Plant, Idaho Nuclear Technology and Engineering Center Percolation Ponds and Test Area North/Technical Support Facility Disposal Pond) at the Idaho National Engineering and Environmental Laboratory required documentation of the Best Available Technology selection process. The Idaho Nuclear Technology and Engineering Center Percolation Ponds and Test Area North/Technical Support Facility Disposal Pond discharge wastewater that may contain process-derived radionuclides to a soil column with average radionuclide concentrations below drinking water MCLs. At the request of the Department of Energy Idaho Operations Office, Bechtel BWXT Idaho, LLC has included the 73.5acre Central Facilities Area Sewage Treatment Plant land application site in Section 4 (Facilities Requiring BAT) of this report to ensure the requirements of DOE Order 5400.5, Chapter II, Section 3 are met. The Central Facilities Area Sewage Treatment Plant effluent may contain process-derived radionuclides. However, the average concentrations of these radionuclides are below MCLs.According to DOE guidance, “If the liquid waste stream is below MCLs, this indicates that the goals of the Best Available Technology selection process are being met and the liquid waste stream is considered clean water. However, it is necessary to document this through the Best Available Technology selection process”.

Lewis, Michael George

2001-09-01T23:59:59.000Z

82

Status Update for Implementing Best Available Technology per DOE Order 5400.5 - September 2002  

SciTech Connect (OSTI)

This report identifies discharges of liquid waste streams that require documentation of the Best Available Technology selection process at Bechtel BWXT Idaho, LLC, operated facilities at the Idaho National Engineering and Environmental Laboratory. The Best Available Technology selection process is conducted according to Department of Energy Order 5400.5, Chapter II (3),“Management and Control of Radioactive Materials in Liquid Discharges and Phaseout of Soil Columns” and Department of Energy guidance. Only those liquid waste streams and facilities requiring the Best Available Technology selection process are evaluated in further detail. In addition, this report will be submitted to the Department of Energy Idaho Operations Office Field Office manager for approval according to DOE Order 5400.5, Chapter II, Section 3.b.(1). Two facilities (Idaho Nuclear Technology and Engineering Center existing Percolation Ponds and Test Area North/Technical Support Facility Disposal Pond) at the Idaho National Engineering and Environmental Laboratory required documentation of the Best Available Technology selection process (Section 4). These two facilities required documentation of the Best Available Technology selection process because they discharge wastewater that may contain process-derived radionuclides to a soil column even though the average radioactivity levels are typically below drinking water maximum contaminant levels. At the request of the Department of Energy Idaho Operations Office, the 73.5-acre Central Facilities Area Sewage Treatment Plant land application site is included in Section 4 of this report to ensure the requirements of DOE Order 5400.5, Chapter II, Section 3 are met. The Central Facilities Area Sewage Treatment Plant effluent contains process-derived radionuclides from radioactive tracers used in certain analytical procedures. The radioactivity levels of these radionuclides are below maximum contaminant levels. According to Department of Energy guidance, “If the liquid waste stream is below maximum contaminant levels, then the goals of the Best Available Technology selection process are being met and the liquid waste stream is considered clean water. However, it is necessary to document this through the Best Available Technology selection process.” Because liquid waste streams below maximum contaminant levels are already considered “clean water,” additional treatment technologies are considered unnecessary and are not addressed in this report.

Lewis, Michael George

2002-09-01T23:59:59.000Z

83

> BUREAU HOME > AUSTRALIA > QUEENSLAND > FORECASTS DISTRICT FORECASTS  

E-Print Network [OSTI]

> BUREAU HOME > AUSTRALIA > QUEENSLAND > FORECASTS DISTRICT FORECASTS IMPROVEMENTS FOR QUEENSLAND across Australia From October 2013, new and improved district forecasts will be introduced in Queensland Protection times FURTHER INFORMATION : www.bom.gov.au/NexGenFWS © Commonwealth of Australia, 2013 PTO> Wind

Greenslade, Diana

84

Status Update for Implementing Best Available Technology per DOE Order 5400.5 (2003)  

SciTech Connect (OSTI)

This report identifies discharges of liquid waste streams that require documentation of the best available technology selection process at Bechtel BWXT Idaho, LLC, operated facilities at the Idaho National Engineering and Environmental Laboratory. The best available technology selection process is conducted according to Department of Energy Order 5400.5, Chapter II (3), “Management and Control of Radioactive Materials in Liquid Discharges and Phaseout of Soil Columns” and Department of Energy guidance. This report evaluates only those liquid waste streams and facilities where the best available technology selection process was determined to apply. Two facilities (Idaho Nuclear Technology and Engineering Center New Percolation Ponds and Test Area North/Technical Support Facility Sewage Treatment Plant Disposal Pond) at the Idaho National Engineering and Environmental Laboratory required documentation of the best available technology selection process. These two facilities required documentation of the best available technology selection process because they discharge wastewater that may contain process-derived radionuclides to a soil column even though the average radioactivity levels are typically below drinking water maximum contaminant levels. At the request of the Department of Energy Idaho Operations Office, the 73.5-acre Central Facilities Area Sewage Treatment Plant land application site is included in this report to ensure the requirements of DOE Order 5400.5, Chapter II, Section 3 are met. The Central Facilities Area Sewage Treatment Plant effluent contains process-derived radionuclides from radioactive tracers used in certain analytical procedures. The radioactivity levels of these radionuclides are below maximum contaminant levels. The Department of Energy Idaho Operations Office will submit this report to their field office manager for approval according to DOE Order 5400.5, Chapter II, Section 3.b.(1).

Michael Lewis

2004-09-01T23:59:59.000Z

85

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

SciTech Connect (OSTI)

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.

BARCOT, R.A.

2003-12-01T23:59:59.000Z

86

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...

87

Bioenergy Technologies Office Multi-Year Program Plan: July 2014 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 Data Center Home Page on Delicious Rank EERE:Year in Review: Top Five EEREDepartmentFebruary 4, 2014 Bioenergy TechnologiesBioenergy4Department

88

Bioenergy Technologies Office Multi-Year Program Plan: March 2015 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 Data Center Home Page on Delicious Rank EERE: Alternative FuelsBSCmemo.pdf BSCmemo.pdf BSCmemo.pdfBetterBIOENERGY TECHNOLOGIES OFFICE FY

89

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

SciTech Connect (OSTI)

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.

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

90

Texas Electricity Update  

E-Print Network [OSTI]

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 ...

Lloyd, B.

2012-01-01T23:59:59.000Z

91

Using Wikipedia to forecast diseases  

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

Using Wikipedia to forecast diseases Using Wikipedia to forecast diseases Scientists can now monitor and forecast diseases around the globe more effectively by analyzing views of...

92

Forecast Technical Document Volume Increment  

E-Print Network [OSTI]

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

93

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

SciTech Connect (OSTI)

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.

Rogers, J.; Porter, K.

2011-03-01T23:59:59.000Z

94

ENSEMBLE RE-FORECASTING : IMPROVING MEDIUM-RANGE FORECAST SKILL  

E-Print Network [OSTI]

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

Hamill, Tom

95

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

E-Print Network [OSTI]

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

Rosen, Jay

96

Solar forecasting review  

E-Print Network [OSTI]

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

Inman, Richard Headen

2012-01-01T23:59:59.000Z

97

CONSULTANT REPORT DEMAND FORECAST EXPERT  

E-Print Network [OSTI]

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

98

Rainfall-River Forecasting  

E-Print Network [OSTI]

;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

US Army Corps of Engineers

99

Issues in midterm analysis and forecasting, 1996  

SciTech Connect (OSTI)

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.

NONE

1996-08-01T23:59:59.000Z

100

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

E-Print Network [OSTI]

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

Kemner, Ken

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


101

APPLICATION OF PROBABILISTIC FORECASTS: DECISION MAKING WITH FORECAST UNCERTAINTY  

E-Print Network [OSTI]

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

Katz, Richard

102

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...

103

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

E-Print Network [OSTI]

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

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

104

Demand Forecast INTRODUCTION AND SUMMARY  

E-Print Network [OSTI]

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

105

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...

106

Probabilistic manpower forecasting  

E-Print Network [OSTI]

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...

Koonce, James Fitzhugh

1966-01-01T23:59:59.000Z

107

Multivariate Forecast Evaluation And Rationality Testing  

E-Print Network [OSTI]

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

Komunjer, Ivana; OWYANG, MICHAEL

2007-01-01T23:59:59.000Z

108

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

SciTech Connect (OSTI)

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.

Epperly, T W

2008-12-03T23:59:59.000Z

109

URESC Update  

Broader source: Energy.gov [DOE]

Presentation covers the URESC Update for the Federal Utility Partnership Working Group (FUPWG) meeting, held on November 18-19, 2009.

110

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]

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

Raja, Anita

111

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

E-Print Network [OSTI]

-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

Doswell III, Charles A.

112

Sixth Northwest Conservation & Electric Power Plan Draft Wholesale Power Price Forecasts  

E-Print Network [OSTI]

Price Forecasts 4. Updated load-resource balance by zones\\ regions · Energy · Capacity 5. Impact Higher Coal Prices Medium Long-term Trend Forecasts for PNW Zones 0.00 0.20 0.40 0.60 0.80 1.00 1.20 1 Northwest Power and Conservation Council Comparison of Annual Average Energy Draft 6th Plan vs. Interim

113

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)

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.

Irick, David

2012-08-30T23:59:59.000Z

114

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...

115

3, 21452173, 2006 Probabilistic forecast  

E-Print Network [OSTI]

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

Paris-Sud XI, Université de

116

4, 189212, 2007 Forecast and  

E-Print Network [OSTI]

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

Paris-Sud XI, Université de

117

Forecast Technical Document Technical Glossary  

E-Print Network [OSTI]

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

118

Forecast Technical Document Tree Species  

E-Print Network [OSTI]

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

119

TRAVEL DEMAND AND RELIABLE FORECASTS  

E-Print Network [OSTI]

TRAVEL DEMAND AND RELIABLE FORECASTS FOR TRANSIT MARK FILIPI, AICP PTP 23rd Annual Transportation transportation projects § Develop and maintain Regional Travel Demand Model § Develop forecast socio in cooperative review during all phases of travel demand forecasting 4 #12;Cooperative Review Should Include

Minnesota, University of

120

Consensus Coal Production Forecast for  

E-Print Network [OSTI]

in the consensus forecast produced in 2006, primarily from the decreased demand as a result of the current nationalConsensus 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

Mohaghegh, Shahab

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


121

ENERGY DEMAND FORECAST METHODS REPORT  

E-Print Network [OSTI]

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

122

Demand Forecasting of New Products  

E-Print Network [OSTI]

Demand Forecasting of New Products Using Attribute Analysis Marina Kang A thesis submitted Abstract This thesis is a study into the demand forecasting of new products (also referred to as Stock upon currently employed new-SKU demand forecasting methods which involve the processing of large

Sun, Yu

123

Improving Inventory Control Using Forecasting  

E-Print Network [OSTI]

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...

Balandran, Juan

2005-12-16T23:59:59.000Z

124

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

SciTech Connect (OSTI)

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

Widiss, R.; Porter, K.

2014-03-01T23:59:59.000Z

125

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

126

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

E-Print Network [OSTI]

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

Mathiesen, Patrick James

2013-01-01T23:59:59.000Z

127

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)

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.

William L. Fisher; Eugene M. Kim

2000-12-01T23:59:59.000Z

128

Forecasting oilfield economic performance  

SciTech Connect (OSTI)

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.

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

129

Forecast Technical Document Growing Stock Volume  

E-Print Network [OSTI]

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

130

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

E-Print Network [OSTI]

Forecast System Southwest Florida Forecast Region Maps 0 20 4010 Miles #12;Bay-S Pinellas Bay-UPR Bay Bloom Operational Forecast System Southwest Florida Forecast Region Maps 0 5 102.5 Miles #12;Bay Harmful Algal Bloom Operational Forecast System Southwest Florida Forecast Region Maps 0 5 102.5 Miles #12

131

Price forecasting for notebook computers.  

E-Print Network [OSTI]

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

Rutherford, Derek Paul

2012-01-01T23:59:59.000Z

132

UWIG Forecasting Workshop -- Albany (Presentation)  

SciTech Connect (OSTI)

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

Lew, D.

2011-04-01T23:59:59.000Z

133

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

134

Data Update for Paxton, MA December, 2006  

E-Print Network [OSTI]

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

Massachusetts at Amherst, University of

135

Data Update for Paxton, MA November, 2006  

E-Print Network [OSTI]

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

Massachusetts at Amherst, University of

136

Data Update for Paxton, MA February, 2005  

E-Print Network [OSTI]

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

Massachusetts at Amherst, University of

137

Data Update for Paxton, MA January, 2006  

E-Print Network [OSTI]

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

Massachusetts at Amherst, University of

138

Data Update for Paxton, MA Prepared for  

E-Print Network [OSTI]

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

Massachusetts at Amherst, University of

139

Data Update for Paxton, MA September, 2006  

E-Print Network [OSTI]

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

Massachusetts at Amherst, University of

140

Data Update for Paxton, MA October, 2004  

E-Print Network [OSTI]

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

Massachusetts at Amherst, University of

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


141

Data Update for Paxton, MA Prepared for  

E-Print Network [OSTI]

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

Massachusetts at Amherst, University of

142

Data Update for Paxton, MA April, 2005  

E-Print Network [OSTI]

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

Massachusetts at Amherst, University of

143

Data Update for Paxton, MA October, 2005  

E-Print Network [OSTI]

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

Massachusetts at Amherst, University of

144

Data Update for Paxton, MA August, 2005  

E-Print Network [OSTI]

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

Massachusetts at Amherst, University of

145

Data Update for Paxton, MA September, 2005  

E-Print Network [OSTI]

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

Massachusetts at Amherst, University of

146

Data Update for Paxton, MA April, 2006  

E-Print Network [OSTI]

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

Massachusetts at Amherst, University of

147

Data Update for Paxton, MA October, 2006  

E-Print Network [OSTI]

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

Massachusetts at Amherst, University of

148

Data Update for Paxton, MA Prepared for  

E-Print Network [OSTI]

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

Massachusetts at Amherst, University of

149

Data Update for Paxton, MA November, 2004  

E-Print Network [OSTI]

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

Massachusetts at Amherst, University of

150

Data Update for Paxton, MA February, 2006  

E-Print Network [OSTI]

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

Massachusetts at Amherst, University of

151

Data Update for Blandford, MA October 2006  

E-Print Network [OSTI]

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

Massachusetts at Amherst, University of

152

Data Update for Paxton, MA March, 2006  

E-Print Network [OSTI]

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

Massachusetts at Amherst, University of

153

Data Update for Paxton, MA August, 2006  

E-Print Network [OSTI]

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

Massachusetts at Amherst, University of

154

Data Update for Paxton, MA December, 2005  

E-Print Network [OSTI]

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

Massachusetts at Amherst, University of

155

Data Update for Paxton, MA March, 2005  

E-Print Network [OSTI]

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

Massachusetts at Amherst, University of

156

Data Update for Blandford, MA November 2006  

E-Print Network [OSTI]

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

Massachusetts at Amherst, University of

157

Data Update for Paxton, MA Prepared for  

E-Print Network [OSTI]

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

Massachusetts at Amherst, University of

158

Data Update for Paxton, MA Prepared for  

E-Print Network [OSTI]

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

Massachusetts at Amherst, University of

159

Data Update for Paxton, MA September, 2004  

E-Print Network [OSTI]

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

Massachusetts at Amherst, University of

160

Data Update for Paxton, MA Prepared for  

E-Print Network [OSTI]

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

Massachusetts at Amherst, University of

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


161

Data Update for Paxton, MA January, 2005  

E-Print Network [OSTI]

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

Massachusetts at Amherst, University of

162

Data Update for Paxton, MA November, 2005  

E-Print Network [OSTI]

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

Massachusetts at Amherst, University of

163

Data Update for Paxton, MA December, 2004  

E-Print Network [OSTI]

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

Massachusetts at Amherst, University of

164

nuclear power Update of the mit 2003  

E-Print Network [OSTI]

#12;Future of nuclear power Update of the mit 2003 PROFESSOR JOHN M.DEUTCH Institute Professor of Technology. All rights reserved. #12;Update of the MIT 2003 Future of Nuclear Power Study 3 In 2003 a group of MIT faculty issued a study on The Future of Nuclear Power.1 The study was motivated by growing concern

Reuter, Martin

165

Heating Season Has Ended An Update On The Numbers  

E-Print Network [OSTI]

Heating Season Has Ended An Update On The Numbers Heating Season Has Ended The snow in the mid to last at least 10 days!! So, we are declaring an end to the heating season and entering late into what temperature dip. As you likely do at home, please be mindful of the weather forecast and adjust accordingly

166

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

167

NATIONAL AND GLOBAL FORECASTS WEST VIRGINIA PROFILES AND FORECASTS  

E-Print Network [OSTI]

· 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

Mohaghegh, Shahab

168

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

SciTech Connect (OSTI)

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.

Hodge, B.

2013-12-01T23:59:59.000Z

169

CORPORATE GOVERNANCE AND MANAGEMENT EARNINGS FORECAST  

E-Print Network [OSTI]

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

Paris-Sud XI, Université de

170

CALIFORNIA ENERGY DEMAND 20122022 FINAL FORECAST  

E-Print Network [OSTI]

CALIFORNIA ENERGY DEMAND 20122022 FINAL FORECAST Volume 2: Electricity Demand.Oglesby Executive Director #12;i ACKNOWLEDGEMENTS The demand forecast is the combined product estimates. Margaret Sheridan provided the residential forecast. Mitch Tian prepared the peak demand

171

CALIFORNIA ENERGY DEMAND 20142024 REVISED FORECAST  

E-Print Network [OSTI]

CALIFORNIA ENERGY DEMAND 20142024 REVISED FORECAST Volume 2: Electricity Demand Robert P. Oglesby Executive Director #12;i ACKNOWLEDGEMENTS The demand forecast is the combined provided estimates for demand response program impacts and contributed to the residential forecast. Mitch

172

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...

173

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

174

Curriculum Vitae Updated: December 17, 2008 Medeiros 1 / 4  

E-Print Network [OSTI]

Curriculum Vitae Updated: December 17, 2008 Medeiros 1 / 4 Stephen Conroy Medeiros, P.E. CURRENT of Technology - Melbourne, Florida #12;Curriculum Vitae Updated: December 17, 2008 Medeiros 2 / 4 UNIVERSITY Falls, Ontario, Canada, July, 2002. #12;Curriculum Vitae Updated: December 17, 2008 Medeiros 3 / 4

Central Florida, University of

175

Advanced Technology for Railway Hydraulic Hazard Forecasting  

E-Print Network [OSTI]

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...

Huff, William Edward 1988-

2012-12-05T23:59:59.000Z

176

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

E-Print Network [OSTI]

Forecast Introduction.................................................................................................................................... 6 Demand................................................................... 16 The Base Case Forecast

177

Electricity price forecasting in a grid environment.  

E-Print Network [OSTI]

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

Li, Guang, 1974-

2007-01-01T23:59:59.000Z

178

Regional-seasonal weather forecasting  

SciTech Connect (OSTI)

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)

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

1980-08-01T23:59:59.000Z

179

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

SciTech Connect (OSTI)

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.

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

2013-11-01T23:59:59.000Z

180

Atmospheric Lagrangian coherent structures considering unresolved turbulence and forecast uncertainty  

E-Print Network [OSTI]

Atmospheric Lagrangian coherent structures considering unresolved turbulence and forecast structures Stochastic trajectory Stochastic FTLE field Ensemble forecasting Uncertainty analysis a b s t r of the forecast FTLE fields is analyzed using ensemble forecasting. Unavoidable errors of the forecast velocity

Ross, Shane

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


181

Update On The Wholesale Electricity Price Forecast & Modeling Results  

E-Print Network [OSTI]

Control Board adopted a statewide water quality control policy on the use of Once Through Cooling (OTC Continue to Operate San Onofre 2,3 2,150 Continue to Operate Total 10,797 Continue to Operate Haynes CC 1,334 Retirement Scattergood 1-3 817 Retirement South Bay 1-4 693 Retirement Total 11,127 Retirement Alamitos 1-6 R

182

Benefits of postponement for fashion products with forecast updates  

E-Print Network [OSTI]

This thesis examines the benefit of postponement of fashion products by considering the overage cost of the intermediate product and the correlation between the demand for each end products produced from it. The benefit ...

Gong, Huiling

2005-01-01T23:59:59.000Z

183

CSUF Economic Outlook and Forecasts Midyear Update, April 2011  

E-Print Network [OSTI]

, (4) sustained elevated oil prices, and (5) financial shocks from the European sovereign debt crisis in this recovery cycle with the expansion progressing at a faster clip in 2011 and 2012. Production indicators-based, almost self-sustained recovery where the transition from non-fundamentals (the inventory cycle

de Lijser, Peter

184

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

E-Print Network [OSTI]

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

Kim, Guebuem

185

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

E-Print Network [OSTI]

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...

Kim, Seong D.

2010-07-14T23:59:59.000Z

186

Using reforecasts for probabilistic forecast calibration  

E-Print Network [OSTI]

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

Hamill, Tom

187

Forecast Combination With Outlier Protection Gang Chenga,  

E-Print Network [OSTI]

Forecast Combination With Outlier Protection Gang Chenga, , Yuhong Yanga,1 a313 Ford Hall, 224 Church St SE, Minneapolis, MN 55455 Abstract Numerous forecast combination schemes with distinct on combining forecasts with minimizing the occurrence of forecast outliers in mind. An unnoticed phenomenon

Yuhong, Yang

188

Forecast Technical Document Felling and Removals  

E-Print Network [OSTI]

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

189

Assessing Forecast Accuracy Measures Department of Economics  

E-Print Network [OSTI]

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

190

Load Forecast For use in Resource Adequacy  

E-Print Network [OSTI]

-term Electricity Demand Forecasting System 1) Obtain Daily Regional Temperatures 6) Estimate Daily WeatherLoad Forecast 2019 For use in Resource Adequacy Massoud Jourabchi #12;In today's presentation d l­ Load forecast methodology ­ Drivers of the forecast f i­ Treatment of conservation

191

CALIFORNIA ENERGY DEMAND 20142024 FINAL FORECAST  

E-Print Network [OSTI]

CALIFORNIA ENERGY DEMAND 2014­2024 FINAL FORECAST Volume 1: Statewide Electricity Demand in this report. #12;i ACKNOWLEDGEMENTS The demand forecast is the combined product of the hard work to the residential forecast. Mitch Tian prepared the peak demand forecast. Ravinderpal Vaid provided the projections

192

REVISED CALIFORNIA ENERGY DEMAND FORECAST 20122022  

E-Print Network [OSTI]

REVISED CALIFORNIA ENERGY DEMAND FORECAST 20122022 Volume 2: Electricity Demand by Utility ACKNOWLEDGEMENTS The staff demand forecast is the combined product of the hard work and expertise of numerous the residential forecast. Mitch Tian prepared the peak demand forecast. Ravinderpal Vaid provided the projections

193

REVISED CALIFORNIA ENERGY DEMAND FORECAST 20122022  

E-Print Network [OSTI]

REVISED CALIFORNIA ENERGY DEMAND FORECAST 20122022 Volume 1: Statewide Electricity Demand in this report. #12;i ACKNOWLEDGEMENTS The staff demand forecast is the combined product of the hard work Sheridan provided the residential forecast. Mitch Tian prepared the peak demand forecast. Ravinderpal Vaid

194

Review of Diesel Emission Control Technology  

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

Diesel Emission Control Technology Tim Johnson August 2002 2 Outline * Introduction - Regulatory update and technology approaches * Ultrafines * Filters * NOx - LNC - SCR - LNT *...

195

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

E-Print Network [OSTI]

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

196

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

E-Print Network [OSTI]

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

Paris-Sud XI, Université de

197

Revised Economic andRevised Economic and Demand ForecastsDemand Forecasts  

E-Print Network [OSTI]

Revised Economic andRevised Economic and Demand ForecastsDemand Forecasts April 14, 2009 Massoud,000 MW #12;6 Demand Forecasts Price Effect (prior to conservation) - 5,000 10,000 15,000 20,000 25,000 30 Jourabchi #12;2 Changes since the Last Draft ForecastChanges since the Last Draft Forecast Improved

198

Winter Heating Fuels Update  

Gasoline and Diesel Fuel Update (EIA)

Heating Fuels Update For: Congressional Briefings October 20, 2014 | Washington, DC By U.S. Energy Information Administration Winter Heating Fuels Update October 20, 2014 |...

199

Price forecasting for notebook computers  

E-Print Network [OSTI]

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

Rutherford, Derek Paul

2012-06-07T23:59:59.000Z

200

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

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


201

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

202

Value of Wind Power Forecasting  

SciTech Connect (OSTI)

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

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

2011-04-01T23:59:59.000Z

203

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

E-Print Network [OSTI]

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

Goto, Susumu

2007-01-01T23:59:59.000Z

204

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

SciTech Connect (OSTI)

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

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

1992-02-01T23:59:59.000Z

205

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

SciTech Connect (OSTI)

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

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

1992-02-01T23:59:59.000Z

206

Hybrid & electric vehicle technology and its market feasibility ; Hybrid and electric vehicle technology and its market feasibility ; HEV technology and its market feasibility ; PHEV technology and its market feasibility ; EV technology and its market feasibility .  

E-Print Network [OSTI]

??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… (more)

Jeon, Sang Yeob

2010-01-01T23:59:59.000Z

207

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

Office of Environmental Management (EM)

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

208

FINAL DEMAND FORECAST FORMS AND INSTRUCTIONS FOR THE 2007  

E-Print Network [OSTI]

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

209

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

E-Print Network [OSTI]

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

Sakauchi, Tsuginosuke

2011-01-01T23:59:59.000Z

210

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)

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.

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

2013-03-01T23:59:59.000Z

211

Aggregate vehicle travel forecasting model  

SciTech Connect (OSTI)

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

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

1995-05-01T23:59:59.000Z

212

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

E-Print Network [OSTI]

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.

Graciani, R

2011-01-01T23:59:59.000Z

213

Management forecast credibility and underreaction to news  

E-Print Network [OSTI]

In this paper, we first document evidence of underreaction to management forecast news. We then hypothesize that the credibility of the forecast influences the magnitude of this underreaction. Relying on evidence that more ...

Ng, Jeffrey

214

Management Forecast Quality and Capital Investment Decisions  

E-Print Network [OSTI]

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 ...

Goodman, Theodore H.

215

FORECASTING THE ROLE OF RENEWABLES IN HAWAII  

E-Print Network [OSTI]

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

Sathaye, Jayant

2013-01-01T23:59:59.000Z

216

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

E-Print Network [OSTI]

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

Whitaker, Jeffrey S.

217

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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas ConchasPassiveSubmittedStatus TomAboutManusScience and InnovationexperimentsTechnology

218

5, 183218, 2008 A rainfall forecast  

E-Print Network [OSTI]

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

Paris-Sud XI, Université de

219

Ensemble Forecast of Analyses With Uncertainty Estimation  

E-Print Network [OSTI]

Ensemble Forecast of Analyses With Uncertainty Estimation Vivien Mallet1,2, Gilles Stoltz3 2012 Mallet, Stoltz, Zhuk, Nakonechniy Ensemble Forecast of Analyses November 2012 1 / 14 hal-00947755,version1-21Feb2014 #12;Objective To produce the best forecast of a model state using a data assimilation

Boyer, Edmond

220

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

E-Print Network [OSTI]

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

Hamill, Tom

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


221

Load forecast and treatment of conservation  

E-Print Network [OSTI]

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

222

CALIFORNIA ENERGY DEMAND 20122022 FINAL FORECAST  

E-Print Network [OSTI]

CALIFORNIA ENERGY DEMAND 20122022 FINAL FORECAST Volume 1: Statewide Electricity forecast is the combined product of the hard work and expertise of numerous staff members in the Demand prepared the peak demand forecast. Ravinderpal Vaid provided the projections of commercial floor space

223

FINAL STAFF FORECAST OF 2008 PEAK DEMAND  

E-Print Network [OSTI]

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

224

CALIFORNIA ENERGY DEMAND 20142024 FINAL FORECAST  

E-Print Network [OSTI]

CALIFORNIA ENERGY DEMAND 20142024 FINAL FORECAST Volume 2: Electricity Demand The demand forecast is the combined product of the hard work and expertise of numerous California Energy for demand response program impacts and contributed to the residential forecast. Mitch Tian prepared

225

CALIFORNIA ENERGY DEMAND 20142024 REVISED FORECAST  

E-Print Network [OSTI]

CALIFORNIA ENERGY DEMAND 2014­2024 REVISED FORECAST Volume 1: Statewide Electricity Demand in this report. #12;i ACKNOWLEDGEMENTS The demand forecast is the combined product of the hard work provided estimates for demand response program impacts and contributed to the residential forecast. Mitch

226

TEPP Briefing Update  

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

* Comments have been incorporated and final review is in progress. Release date is forecast for early May 04 * Development of two additional MERRTT Modules - Rail Shipments -...

227

LED Update  

SciTech Connect (OSTI)

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.

Johnson, Mark L.; Gordon, Kelly L.

2006-09-01T23:59:59.000Z

228

ELECTRICITY DEMAND FORECAST COMPARISON REPORT  

E-Print Network [OSTI]

CALIFORNIA ENERGY COMMISSION ELECTRICITY DEMAND FORECAST COMPARISON REPORT STAFFREPORT June 2005 Gorin Principal Authors Lynn Marshall Project Manager Kae C. Lewis Acting Manager Demand Analysis Office Valerie T. Hall Deputy Director Energy Efficiency and Demand Analysis Division Scott W. Matthews Acting

229

Load Forecasting of Supermarket Refrigeration  

E-Print Network [OSTI]

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

230

PADSTE Update  

SciTech Connect (OSTI)

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.

Bishop, Alan [Los Alamos National Laboratory

2012-09-17T23:59:59.000Z

231

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

E-Print Network [OSTI]

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

Massachusetts at Amherst, University of

232

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

E-Print Network [OSTI]

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

Massachusetts at Amherst, University of

233

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

E-Print Network [OSTI]

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

Massachusetts at Amherst, University of

234

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

E-Print Network [OSTI]

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

Massachusetts at Amherst, University of

235

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

E-Print Network [OSTI]

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

Massachusetts at Amherst, University of

236

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

E-Print Network [OSTI]

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

Massachusetts at Amherst, University of

237

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

E-Print Network [OSTI]

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

Massachusetts at Amherst, University of

238

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

E-Print Network [OSTI]

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

Massachusetts at Amherst, University of

239

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

E-Print Network [OSTI]

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

Massachusetts at Amherst, University of

240

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

E-Print Network [OSTI]

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

Massachusetts at Amherst, University of

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


241

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

E-Print Network [OSTI]

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

Massachusetts at Amherst, University of

242

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

E-Print Network [OSTI]

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

Massachusetts at Amherst, University of

243

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

E-Print Network [OSTI]

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

Massachusetts at Amherst, University of

244

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

E-Print Network [OSTI]

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

Massachusetts at Amherst, University of

245

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

E-Print Network [OSTI]

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

Massachusetts at Amherst, University of

246

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

E-Print Network [OSTI]

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

Massachusetts at Amherst, University of

247

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

E-Print Network [OSTI]

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

Massachusetts at Amherst, University of

248

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

E-Print Network [OSTI]

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

Massachusetts at Amherst, University of

249

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

E-Print Network [OSTI]

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

Massachusetts at Amherst, University of

250

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

E-Print Network [OSTI]

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

Massachusetts at Amherst, University of

251

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

E-Print Network [OSTI]

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

Massachusetts at Amherst, University of

252

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

E-Print Network [OSTI]

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

Massachusetts at Amherst, University of

253

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

E-Print Network [OSTI]

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

Massachusetts at Amherst, University of

254

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

E-Print Network [OSTI]

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

Massachusetts at Amherst, University of

255

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

E-Print Network [OSTI]

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

Massachusetts at Amherst, University of

256

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

E-Print Network [OSTI]

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

Massachusetts at Amherst, University of

257

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

E-Print Network [OSTI]

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

Massachusetts at Amherst, University of

258

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

E-Print Network [OSTI]

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

Massachusetts at Amherst, University of

259

Data Update for Mt. Tom, Holyoke, MA February 2006  

E-Print Network [OSTI]

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

Massachusetts at Amherst, University of

260

Data Update for Mt. Tom, Holyoke, MA February 2008  

E-Print Network [OSTI]

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

Massachusetts at Amherst, University of

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


261

Data Update for Mt. Tom, Holyoke, MA November 2007  

E-Print Network [OSTI]

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

Massachusetts at Amherst, University of

262

Data Update for Mt. Tom, Holyoke, MA September 2007  

E-Print Network [OSTI]

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

Massachusetts at Amherst, University of

263

Data Update for Mt. Tom, Holyoke, MA September 2006  

E-Print Network [OSTI]

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

Massachusetts at Amherst, University of

264

Data Update for Mt. Tom, Holyoke, MA September 2005  

E-Print Network [OSTI]

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

Massachusetts at Amherst, University of

265

Forecasting Distributions with Experts Advice  

E-Print Network [OSTI]

) is the probability forecast based on an arbitrary vector wE in the unit simplex, experts forecasts ?ˆE , and model {p?} . Remark 2 In most cases, we can choose c = 1/?, implying in the result below that c? = 1. Example 3 The prediction function is a mixture... 0 = 1, and #IT (k) = tk+1 ? tk. Define ek ? E. Theorem 12 Under Conditions 1 and 7, R1,...,t (pW ) ? c? K? k=0 Rt(k),...,t(k+1)?1 ( p?(e(k)) ) + c ln (#E) ?c K? k=1 ln ut(k) (ek, ek?1)? c K? k=0 t(k+1)?2? s=t(k) ln (us+1 (ek, ek)) . 9 Remark 13...

Sancetta, Alessio

2006-03-14T23:59:59.000Z

266

Forecasting wind speed financial return  

E-Print Network [OSTI]

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

D'Amico, Guglielmo; Prattico, Flavio

2013-01-01T23:59:59.000Z

267

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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of InspectorConcentrating Solar Power Basics (TheEtelligence (SmartHome Kyoung's pictureFlintFlowerForecast

268

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.

269

Department of Mechanical and Aerospace Engineering Updated: Spring 2012  

E-Print Network [OSTI]

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

Krstic, Miroslav

270

Updates 11/02/2013 DEANNA SCHULTZ  

E-Print Network [OSTI]

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

Wu, Mingshen

271

Geothermal wells: a forecast of drilling activity  

SciTech Connect (OSTI)

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

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

1981-07-01T23:59:59.000Z

272

Online Forecast Combination for Dependent Heterogeneous Data  

E-Print Network [OSTI]

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...

Sancetta, Alessio

273

Funding Opportunity Announcement for Wind Forecasting Improvement...  

Office of Environmental Management (EM)

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

274

Upcoming Funding Opportunity for Wind Forecasting Improvement...  

Office of Environmental Management (EM)

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

275

Solid low-level waste forecasting guide  

SciTech Connect (OSTI)

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.

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

1995-03-01T23:59:59.000Z

276

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...

277

Wind Power Forecasting andWind Power Forecasting and Electricity Market Operations  

E-Print Network [OSTI]

Wind Power Forecasting andWind Power Forecasting and Electricity Market Operations Audun Botterud://www.dis.anl.gov/projects/windpowerforecasting.html IAWind 2010 Ames, IA, April 6, 2010 #12;Outline Background Using wind power forecasts in market operations ­ Current status in U.S. markets ­ Handling uncertainties in system operations ­ Wind power

Kemner, Ken

278

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

E-Print Network [OSTI]

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

Kamat, Vineet R.

279

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

E-Print Network [OSTI]

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

280

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

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


281

Ensemble forecast of analyses: Coupling data assimilation and sequential aggregation  

E-Print Network [OSTI]

Ensemble forecast of analyses: Coupling data assimilation and sequential aggregation Vivien Mallet1. [1] Sequential aggregation is an ensemble forecasting approach that weights each ensemble member based on past observations and past forecasts. This approach has several limitations: The weights

Mallet, Vivien

282

Probabilistic Wind Speed Forecasting using Ensembles and Bayesian Model Averaging  

E-Print Network [OSTI]

is to issue deterministic forecasts based on numerical weather prediction models. Uncertainty canProbabilistic Wind Speed Forecasting using Ensembles and Bayesian Model Averaging J. Mc discretization than is seen in other weather quantities. The prevailing paradigm in weather forecasting

Washington at Seattle, University of

283

Coordinating production quantities and demand forecasts through penalty schemes  

E-Print Network [OSTI]

Coordinating production quantities and demand forecasts through penalty schemes MURUVVET CELIKBAS1 departments which enable organizations to match demand forecasts with production quantities. This research problem where demand is uncertain and the marketing de- partment provides a forecast to manufacturing

Swaminathan, Jayashankar M.

284

CALIFORNIA ENERGY DEMAND 2006-2016 STAFF ENERGY DEMAND FORECAST  

E-Print Network [OSTI]

CALIFORNIA ENERGY COMMISSION CALIFORNIA ENERGY DEMAND 2006-2016 STAFF ENERGY DEMAND FORECAST Demand Forecast report is the product of the efforts of many current and former California Energy-2 Demand Forecast Disaggregation......................................................1-4 Statewide

285

HIERARCHY OF PRODUCTION DECISIONS Forecasts of future demand  

E-Print Network [OSTI]

HIERARCHY OF PRODUCTION DECISIONS Forecasts of future demand Aggregate plan Master production Planning and Forecast Bias · Forecast error seldom is normally distributed · There are few finite planning

Brock, David

286

Forecasting Market Demand for New Telecommunications Services: An Introduction  

E-Print Network [OSTI]

Forecasting Market Demand for New Telecommunications Services: An Introduction Peter Mc in demand forecasting for new communication services. Acknowledgments: The writing of this paper commenced employers or consultancy clients. KEYWORDS: Demand Forecasting, New Product Marketing, Telecommunica- tions

Parsons, Simon

287

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

288

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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the Contributions andData and ResourcesOtherForecasting NREL researchers use solar and

289

Electricity Monthly Update  

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

Update is prepared by the Electric Power Operations Team, Office of Electricity, Renewables and Uranium Statistics, U.S. Energy Information Administration (EIA), U.S....

290

Directives Quarterly Updates  

Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

Listings of new Justification Memoranda and new or revised Directives that have been posted to the DOE Directives, Delegations, and Requirements Portal. Updated quarterly.

291

Plans, Updates, Regulatory Documents  

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

2010 Target Action Level (TAL) Exceedance Report 2011 Updates on Permit Compliance March 7, 2013, NPDES Permit No. NM0030759 - Request for Extenstion to Submit Renewal Application...

292

Electricity Monthly Update  

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

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

293

Electricity Monthly Update  

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

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

294

Skye, Schell, Washington Update  

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

Updates in the Program 13 qualified ESCOs under GSA Schedule 84 * Four Small Business vendors Expanded ECMs to solar (PV) and related HVAC equipment ...

295

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

Energy Savers [EERE]

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

296

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

E-Print Network [OSTI]

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

Heinemann, Detlev

297

Agricultural and Resource Economics Update  

E-Print Network [OSTI]

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

2011-01-01T23:59:59.000Z

298

New Concepts in Wind Power Forecasting Models  

E-Print Network [OSTI]

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

Kemner, Ken

299

QUIKSCAT MEASUREMENTS AND ECMWF WIND FORECASTS  

E-Print Network [OSTI]

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

Malmberg, Anders

300

QUIKSCAT MEASUREMENTS AND ECMWF WIND FORECASTS  

E-Print Network [OSTI]

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

Malmberg, Anders

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


301

UHERO FORECAST PROJECT DECEMBER 5, 2014  

E-Print Network [OSTI]

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

302

-Assessment of current water conditions -Precipitation Forecast  

E-Print Network [OSTI]

#12;-Assessment of current water conditions - Precipitation Forecast - Recommendations for Drought of the mountains, so early demand for irrigation water should be minimal as we officially move into spring. Western, it is forecast to bring wet snow to the eastern slope of the Rockies, with less accumulations west of the divide

303

A NEW APPROACH FOR EVALUATING ECONOMIC FORECASTS  

E-Print Network [OSTI]

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

Vertes, Akos

304

2013 Midyear Economic Forecast Sponsorship Opportunity  

E-Print Network [OSTI]

2013 Midyear Economic Forecast Sponsorship Opportunity Thursday, April 18, 2013, ­ Hyatt Regency Irvine 11:30 a.m. ­ 1:30 p.m. Dr. Anil Puri presents his annual Midyear Economic Forecast addressing and Economics at California State University, Fullerton, the largest accredited business school in California

de Lijser, Peter

305

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

SciTech Connect (OSTI)

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

United States. Bonneville Power Administration.

1994-02-01T23:59:59.000Z

306

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

E-Print Network [OSTI]

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

Genton, Marc G.

307

Earthquake Forecast via Neutrino Tomography  

E-Print Network [OSTI]

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

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

2011-03-29T23:59:59.000Z

308

MSSM Forecast for the LHC  

E-Print Network [OSTI]

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

Maria Eugenia Cabrera; Alberto Casas; Roberto Ruiz de Austri

2010-12-10T23:59:59.000Z

309

Using Wikipedia to forecast diseases  

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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLasDelivered energy consumption by sectorlongUpdates byUser GuideHadoopUsing Wikipedia to

310

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

311

A New Measure of Earnings Forecast Uncertainty Xuguang Sheng  

E-Print Network [OSTI]

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

Kim, Kiho

312

AN ANALYSIS OF FORECAST BASED REORDER POINT POLICIES : THE BENEFIT  

E-Print Network [OSTI]

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

Paris-Sud XI, Université de

313

The Complexity of Forecast Testing Lance Fortnow # Rakesh V. Vohra +  

E-Print Network [OSTI]

The Complexity of Forecast Testing Lance Fortnow # Rakesh V. Vohra + Abstract Consider a weather forecaster predicting a probability of rain for the next day. We consider tests that given a finite sequence of forecast predictions and outcomes will either pass or fail the forecaster. Sandroni shows that any test

Fortnow, Lance

314

Does increasing model stratospheric resolution improve extended range forecast skill?  

E-Print Network [OSTI]

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

315

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

SciTech Connect (OSTI)

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

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

2011-10-01T23:59:59.000Z

316

Univariate Modeling and Forecasting of Monthly Energy Demand Time Series  

E-Print Network [OSTI]

Univariate Modeling and Forecasting of Monthly Energy Demand Time Series Using Abductive and Neural demand time series based only on data for six years to forecast the demand for the seventh year. Both networks, Neural networks, Modeling, Forecasting, Energy demand, Time series forecasting, Power system

Abdel-Aal, Radwan E.

317

PRELIMINARY CALIFORNIA ENERGY DEMAND FORECAST 2012-2022  

E-Print Network [OSTI]

PRELIMINARY CALIFORNIA ENERGY DEMAND FORECAST 2012-2022 AUGUST 2011 CEC-200-2011-011-SD CALIFORNIA or adequacy of the information in this report. #12;i ACKNOWLEDGEMENTS The staff demand forecast forecast. Mitch Tian prepared the peak demand forecast. Ravinderpal Vaid provided the projections

318

Strategic safety stocks in supply chains with evolving forecasts  

E-Print Network [OSTI]

we have an evolving demand forecast. Under assumptions about the forecasts, the demand process their supply chain operations based on a forecast of future demand over some planning horizon. Furthermore stock inventory in a supply chain that is subject to a dynamic, evolving demand forecast. In particular

Graves, Stephen C.

319

CALIFORNIA ENERGY DEMAND 2008-2018 STAFF DRAFT FORECAST  

E-Print Network [OSTI]

CALIFORNIA ENERGY COMMISSION CALIFORNIA ENERGY DEMAND 2008-2018 STAFF DRAFT FORECAST Energy Demand 2008-2018 forecast supports the analysis and recommendations of the 2007 Integrated Energy Commission demand forecast models. Both the staff draft energy consumption and peak forecasts are slightly

320

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

SciTech Connect (OSTI)

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

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

2013-10-01T23:59:59.000Z

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


321

A leading index of drilling activity: Update and improvements  

SciTech Connect (OSTI)

A five-component composite leading index of United States rotary rig drilling activity is updated. The index is presented for 1949 through April 1986 and is shown to consistently lead turning points in drilling activity. Seven new leading indices based on some new components are also presented. A forecast of drilling activity is made for the remainder of 1986 based on the leading index and the current economic condition of the petroleum industry. The methods used to prepare time series and construct indices are reviewed.

Buell, R.S.; Maurer, R.A.

1986-01-01T23:59:59.000Z

322

1999 Leak Detection and Monitoring and Mitigation Strategy Update  

SciTech Connect (OSTI)

This document is a complete revision of WHC-SD-WM-ES-378, Rev 1. This update includes recent developments in Leak Detection, Leak Monitoring, and Leak Mitigation technologies, as well as, recent developments in single-shell tank retrieval technologies. In addition, a single-shell tank retrieval release protection strategy is presented.

OHL, P.C.

1999-09-23T23:59:59.000Z

323

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

SciTech Connect (OSTI)

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.

McNamara, Laura A.

2010-08-01T23:59:59.000Z

324

NAC Technology and Innovation Committee Meeting Report  

E-Print Network [OSTI]

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

Christian, Eric

325

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

E-Print Network [OSTI]

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

Perez, Richard R.

326

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

E-Print Network [OSTI]

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

Mathiesen, Patrick James

2013-01-01T23:59:59.000Z

327

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

E-Print Network [OSTI]

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

Mathiesen, Patrick James

2013-01-01T23:59:59.000Z

328

Federal Geothermal Research Program Update - Fiscal Year 2001  

SciTech Connect (OSTI)

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.

Laney, P.T.

2002-08-31T23:59:59.000Z

329

Wind Speed Forecasting for Power System Operation  

E-Print Network [OSTI]

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

Zhu, Xinxin

2013-07-22T23:59:59.000Z

330

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

E-Print Network [OSTI]

Appendix A: Fuel Price Forecast Introduction ................................................................................................................... 17 INTRODUCTION Since the millennium, the trend for fuel prices has been one of uncertainty prices, which have traditionally been relatively stable, increased by about 50 percent in 2008. Fuel

331

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

332

Essays in International Macroeconomics and Forecasting  

E-Print Network [OSTI]

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...

Bejarano Rojas, Jesus Antonio

2012-10-19T23:59:59.000Z

333

Generation IV International Forum Updates Technology Roadmap...  

Office of Environmental Management (EM)

nuclear energy Generation IV International Forum Signs Agreement to Collaborate on Sodium Cooled Fast Reactors China and Russia to Join the Generation IV International Forum...

334

Office Lighting: Title 24 & Technology Update  

E-Print Network [OSTI]

% 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

California at Davis, University of

335

Hewlett Packard Technology for Teaching grant update  

E-Print Network [OSTI]

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

Beaton, Catherine

336

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 Data Center Home Page on Delicious Rank EERE:YearRound-UpHeatMulti-Dimensional Subject:GroundtoProductionEnergy9/9/2011DemonstrationsSource:

337

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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth7-1D: Vegetation Proposed New SubstationClean Communities of Western NewSouth ShoreWashingtonClean CoalFE-0514

338

Power Technologies Energy Data Book - Fourth Edition  

SciTech Connect (OSTI)

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.

Aabakken, J.

2006-08-01T23:59:59.000Z

339

Dynamic Algorithm for Space Weather Forecasting System  

E-Print Network [OSTI]

for the designation as UNDERGRADUATE RESEARCH SCHOLAR April 2010 Major: Nuclear Engineering DYNAMIC ALGORITHM FOR SPACE WEATHER FORECASTING SYSTEM A Junior Scholars Thesis by LUKE DUNCAN FISCHER Submitted to the Office of Undergraduate... 2010 Major: Nuclear Engineering iii ABSTRACT Dynamic Algorithm for Space Weather Forecasting System. (April 2010) Luke Duncan Fischer Department of Nuclear Engineering Texas A&M University Research Advisor: Dr. Stephen Guetersloh...

Fischer, Luke D.

2011-08-08T23:59:59.000Z

340

Nambe Pueblo Water Budget and Forecasting model.  

SciTech Connect (OSTI)

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.

Brainard, James Robert

2009-10-01T23:59:59.000Z

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


341

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]

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

Howitt, Ivan

342

Office of Technology Transfer 1 | P a g e  

E-Print Network [OSTI]

Office of Technology Transfer 1 | P a g e Updated.02.23.12_KT Instructions for submitting; Office of Technology Transfer 2 | P a g e Updated.02.23.12_KT 4 myUM Authentication's window of screen. Invention Disclosure Form #12; Office of Technology Transfer 3 | P a g e

Weber, David J.

343

Sixth Northwest Conservation and Electric Power Plan Chapter 3: Electricity Demand Forecast  

E-Print Network [OSTI]

Sixth Northwest Conservation and Electric Power Plan Chapter 3: Electricity Demand Forecast Summary............................................................................................................ 2 Sixth Power Plan Demand Forecast................................................................................................ 4 Demand Forecast Range

344

Sixth Northwest Conservation and Electric Power Plan Appendix C: Demand Forecast  

E-Print Network [OSTI]

Sixth Northwest Conservation and Electric Power Plan Appendix C: Demand Forecast Energy Demand................................................................................................................................. 1 Demand Forecast Methodology.................................................................................................. 3 New Demand Forecasting Model for the Sixth Plan

345

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

SciTech Connect (OSTI)

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

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

2014-05-01T23:59:59.000Z

346

Forecast of Contracting and Subcontracting Opportunities, Fiscal year 1995  

SciTech Connect (OSTI)

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

Not Available

1995-02-01T23:59:59.000Z

347

Updates - DOE Directives, Delegations, and Requirements  

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

Updates by Diane Johnson Email Alerts Subscribe to automatic e-mail notification about updates to the portal. Email Alerts...

348

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 questions. A separate document includes the required report format and directions. Please email omerad

349

CAC Update: HFBR and BGRR  

E-Print Network [OSTI]

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

Homes, Christopher C.

350

Richmond Bay Campus: Project Update  

E-Print Network [OSTI]

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

Lee, Jason R.

351

Information Updates: Position/Title  

E-Print Network [OSTI]

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

Sheridan, Jennifer

352

Autoregressive Time Series Forecasting of Computational Demand  

E-Print Network [OSTI]

We study the predictive power of autoregressive moving average models when forecasting demand in two shared computational networks, PlanetLab and Tycoon. Demand in these networks is very volatile, and predictive techniques to plan usage in advance can improve the performance obtained drastically. Our key finding is that a random walk predictor performs best for one-step-ahead forecasts, whereas ARIMA(1,1,0) and adaptive exponential smoothing models perform better for two and three-step-ahead forecasts. A Monte Carlo bootstrap test is proposed to evaluate the continuous prediction performance of different models with arbitrary confidence and statistical significance levels. Although the prediction results differ between the Tycoon and PlanetLab networks, we observe very similar overall statistical properties, such as volatility dynamics.

Sandholm, Thomas

2007-01-01T23:59:59.000Z

353

Project Profile: Forecasting and Influencing Technological Progress in Solar Energy  

Broader source: Energy.gov [DOE]

The University of North Carolina at Charlotte, along with their partners at Arizona State University and the University of Oxford, under the Solar Energy Evolution and Diffusion Studies (SEEDS)...

354

Do Investors Forecast Fat Firms? Evidence from the Gold Mining Industry  

E-Print Network [OSTI]

Economists’ Gold Price Forecasts,” Australian Journal ofDo Investors Forecast Fat Firms? Evidence from the Gold

Borenstein, Severin; Farrell, Joseph

2006-01-01T23:59:59.000Z

355

Potential to Improve Forecasting Accuracy: Advances in Supply Chain Management  

E-Print Network [OSTI]

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 ...

Datta, Shoumen

2008-07-31T23:59:59.000Z

356

Market perceptions of efficiency and news in analyst forecast errors  

E-Print Network [OSTI]

Financial analysts are considered inefficient when they do not fully incorporate relevant information into their forecasts. In this dissertation, I investigate differences in the observable efficiency of analysts' earnings forecasts between firms...

Chevis, Gia Marie

2004-11-15T23:59:59.000Z

357

The effect of multinationality on management earnings forecasts  

E-Print Network [OSTI]

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...

Runyan, Bruce Wayne

2005-08-29T23:59:59.000Z

358

Wind power forecasting in U.S. electricity markets.  

SciTech Connect (OSTI)

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

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

2010-04-01T23:59:59.000Z

359

Wind power forecasting in U.S. Electricity markets  

SciTech Connect (OSTI)

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

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

2010-04-15T23:59:59.000Z

360

Wind Power Forecasting Error Distributions over Multiple Timescales (Presentation)  

SciTech Connect (OSTI)

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

Hodge, B. M.; Milligan, M.

2011-07-01T23:59:59.000Z

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


361

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...

362

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

363

0 20 4010 Miles NOAA Harmful Algal Bloom Operational Forecast System  

E-Print Network [OSTI]

0 20 4010 Miles NOAA Harmful Algal Bloom Operational Forecast System Texas Forecast Region Maps to Sargent BCH NOAA Harmful Algal Bloom Operational Forecast System Texas Forecast Region Maps 0 5 102 Bloom Operational Forecast System Texas Forecast Region Maps 0 5 102.5 Miles West Bay #12;Aransas Bay

364

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...

365

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

366

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

367

Using Bayesian Model Averaging to Calibrate Forecast Ensembles 1  

E-Print Network [OSTI]

Using Bayesian Model Averaging to Calibrate Forecast Ensembles 1 Adrian E. Raftery, Fadoua forecasting often exhibit a spread-skill relationship, but they tend to be underdispersive. This paper of PDFs centered around the individual (possibly bias-corrected) forecasts, where the weights are equal

Washington at Seattle, University of

368

Forecast Combinations of Computational Intelligence and Linear Models for the  

E-Print Network [OSTI]

Forecast Combinations of Computational Intelligence and Linear Models for the NN5 Time Series Forecasting competition Robert R. Andrawis Dept Computer Engineering Cairo University, Giza, Egypt robertrezk@eg.ibm.com November 6, 2010 Abstract In this work we introduce a forecasting model with which we participated

Atiya, Amir

369

GET your forecast at the click of a button.  

E-Print Network [OSTI]

GET your forecast at the click of a button. EXPLORE your local weather in detail. PLAN your days favourite locations; · Pan and zoom to any area in Australia; · Combine the latest weather and forecast current temperatures across Australia. MetEyeTM computer screen image displaying the weather forecast

Greenslade, Diana

370

Compatibility of Stand Basal Area Predictions Based on Forecast Combination  

E-Print Network [OSTI]

Compatibility of Stand Basal Area Predictions Based on Forecast Combination Xiongqing Zhang Carr.) in Beijing, forecast combination was used to adjust predicted stand basal areas from these three types of models. The forecast combination method combines information and disperses errors from

Cao, Quang V.

371

MOUNTAIN WEATHER PREDICTION: PHENOMENOLOGICAL CHALLENGES AND FORECAST METHODOLOGY  

E-Print Network [OSTI]

MOUNTAIN WEATHER PREDICTION: PHENOMENOLOGICAL CHALLENGES AND FORECAST METHODOLOGY Michael P. Meyers of the American Meteorological Society Mountain Weather and Forecasting Monograph Draft from Friday, May 21, 2010 of weather analysis and forecasting in complex terrain with special emphasis placed on the role of humans

Steenburgh, Jim

372

WP1: Targeted and informative forecast system design  

E-Print Network [OSTI]

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

Stevenson, Paul

373

Earnings forecast bias -a statistical analysis Franois Dossou  

E-Print Network [OSTI]

Earnings forecast bias - a statistical analysis François Dossou Sandrine Lardic** Karine Michalon' earnings forecasts is an important aspect of research for different reasons: Many empirical studies employ analysts' consensus forecasts as a proxy for the market's expectations of future earnings in order

Paris-Sud XI, Université de

374

Using Large Datasets to Forecast Sectoral Employment Rangan Gupta*  

E-Print Network [OSTI]

Using Large Datasets to Forecast Sectoral Employment Rangan Gupta* Department of Economics Bayesian and classical methods to forecast employment for eight sectors of the US economy. In addition-sample period and January 1990 to March 2009 as the out-of- sample horizon, we compare the forecast performance

Ahmad, Sajjad

375

Power load forecasting Organization: Huizhou Electric Power, P. R. China  

E-Print Network [OSTI]

Power load forecasting Organization: Huizhou Electric Power, P. R. China Presenter: Zhifeng Hao can be divided into load forecasting and electrical consumption predicting according to forecasting in generators macroeconomic control, power exchange plan and so on. And the prediction is from one day to seven

376

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

377

Forecasting wave height probabilities with numerical weather prediction models  

E-Print Network [OSTI]

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

Stevenson, Paul

378

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

E-Print Network [OSTI]

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

Povinelli, Richard J.

379

CALIFORNIA ENERGY DEMAND 2008-2018 STAFF REVISED FORECAST  

E-Print Network [OSTI]

CALIFORNIA ENERGY COMMISSION CALIFORNIA ENERGY DEMAND 2008-2018 STAFF REVISED FORECAST forecast is the combined product of the hard work and expertise of numerous staff members in the Demand, and utilities. Mitch Tian prepared the peak demand forecast. Ted Dang prepared the historic energy consumption

380

CALIFORNIA ENERGY DEMAND 2008-2018 STAFF REVISED FORECAST  

E-Print Network [OSTI]

CALIFORNIA ENERGY COMMISSION CALIFORNIA ENERGY DEMAND 2008-2018 STAFF REVISED FORECAST forecast is the combined product of the hard work and expertise of numerous staff in the Demand Analysis. Mitch Tian prepared the peak demand forecast. Ted Dang prepared the historic energy consumption data

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


381

Draft for Public Comment Appendix A. Demand Forecast  

E-Print Network [OSTI]

Draft for Public Comment A-1 Appendix A. Demand Forecast INTRODUCTION AND SUMMARY A 20-year forecast of electricity demand is a required component of the Council's Northwest Regional Conservation had a tradition of acknowledging the uncertainty of any forecast of electricity demand and developing

382

Forecasting Market Demand for New Telecommunications Services: An Introduction  

E-Print Network [OSTI]

Forecasting Market Demand for New Telecommunications Services: An Introduction Peter Mc to redress this situation by presenting a discussion of the issues involved in demand forecasting for new or consultancy clients. KEYWORDS: Demand Forecasting, New Product Marketing, Telecommunica­ tions Services. 1 #12

McBurney, Peter

383

A BAYESIAN MODEL COMMITTEE APPROACH TO FORECASTING GLOBAL SOLAR RADIATION  

E-Print Network [OSTI]

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

Boyer, Edmond

384

FORECASTING SOLAR RADIATION PRELIMINARY EVALUATION OF AN APPROACH  

E-Print Network [OSTI]

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

Perez, Richard R.

385

Hybrid & electric vehicle technology and its market feasibility  

E-Print Network [OSTI]

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 ...

Jeon, Sang Yeob

2010-01-01T23:59:59.000Z

386

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.

387

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

Office of Environmental Management (EM)

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 Evaluation...

388

Forecasting Turbulent Modes with Nonparametric Diffusion Models  

E-Print Network [OSTI]

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.

Tyrus Berry; John Harlim

2015-01-27T23:59:59.000Z

389

Do quantitative decadal forecasts from GCMs provide  

E-Print Network [OSTI]

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

Stevenson, Paul

390

Issues in midterm analysis and forecasting 1998  

SciTech Connect (OSTI)

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.

NONE

1998-07-01T23:59:59.000Z

391

> BUREAU HOME > AUSTRALIA > QUEENSLAND > FORECASTS MARINE SERVICE  

E-Print Network [OSTI]

> BUREAU HOME > AUSTRALIA > QUEENSLAND > FORECASTS MARINE SERVICE IMPROVEMENTS FOR QUEENSLAND across Australia. FURTHER INFORMATION: www.bom.gov.au/NexGenFWS © Commonwealth of Australia, 2013 From © Copyright Commonwealth of Australia 2013, Bureau of Meteorology Queensland Australia Coastal Waters Zones

Greenslade, Diana

392

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

393

Forecasting sudden changes in environmental pollution patterns  

E-Print Network [OSTI]

Forecasting sudden changes in environmental pollution patterns María 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

Olascoaga, Maria Josefina

394

Amending Numerical Weather Prediction forecasts using GPS  

E-Print Network [OSTI]

to validate the amounts of humidity in Numerical Weather Prediction (NWP) model forecasts. This paper presents. Satellite images and Numerical Weather Prediction (NWP) models are used together with the synoptic surface. In this paper, a case is presented for which the operational Numerical Weather Prediction Model (NWP) HIRLAM

Stoffelen, Ad

395

Prediction versus Projection: How weather forecasting and  

E-Print Network [OSTI]

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

Howat, Ian M.

396

FORECAST OF VACANCIES Until end of 2016  

E-Print Network [OSTI]

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

397

Segmenting Time Series for Weather Forecasting  

E-Print Network [OSTI]

) models is summarised as weather forecast texts. In the domain of gas turbines, sensor data from an operational gas turbine is summarised for the maintenance engineers. More details on SUMTIME have been to develop a generic model for summarisation of time series data. Initially, we have applied standard

Sripada, Yaji

398

Online short-term solar power forecasting  

SciTech Connect (OSTI)

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

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

2009-10-15T23:59:59.000Z

399

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

400

Operational forecasting based on a modified Weather Research and Forecasting model  

SciTech Connect (OSTI)

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

Lundquist, J; Glascoe, L; Obrecht, J

2010-03-18T23:59:59.000Z

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


401

Forecastability as a Design Criterion in Wind Resource Assessment: Preprint  

SciTech Connect (OSTI)

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

Zhang, J.; Hodge, B. M.

2014-04-01T23:59:59.000Z

402

Federal Geothermal Research Program Update Fiscal Year 1999  

SciTech Connect (OSTI)

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.

Not Available

2004-02-01T23:59:59.000Z

403

Read-Copy Update Paul E. McKenney  

E-Print Network [OSTI]

Read-Copy Update Paul E. McKenney Linux Technology Center IBM Beaverton pmckenne@us.ibm.com, http perform ex- pensive synchronization operations in common code #12;Client 1 Module Client 2 - - w Operation was unloaded, is not subject to this race condition. This suggests Client 1 Module Client 2 - - Grace Period w

Arpaci, Remzi

404

Updating Small Generator Interconnection Procedures for New Market Conditions  

SciTech Connect (OSTI)

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.

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

2012-12-01T23:59:59.000Z

405

AUTONOMOUS UNDERSEA SYSTEMS NETWORK (AUSNET) Development Status Update  

E-Print Network [OSTI]

1 AUTONOMOUS UNDERSEA SYSTEMS NETWORK (AUSNET) Development Status Update Charles Benton and James Kenney Technology Systems, Inc. (TSI), Wiscassett, ME Steven G. Chappell and D.R. Blidberg Autonomous promises to significantly enhance the capabilities of Autonomous Undersea Vehicles (AUVs) as they become

406

Update on the Development of the Cybersecurity Framework  

E-Print Network [OSTI]

Update on the Development of the Cybersecurity Framework June 18, 2013 Under Executive Order 13636, Improving Critical Infrastructure Cybersecurity, the National Institute of Standards and Technology (NIST of the Cybersecurity Framework by issuing a Request for Information (RFI) in February to gather relevant input from

Bentz, Dale P.

407

Update on the Development of the Cybersecurity Framework  

E-Print Network [OSTI]

Update on the Development of the Cybersecurity Framework July 24, 2013 Under Executive Order 13636, Improving Critical Infrastructure Cybersecurity, the National Institute of Standards and Technology (NIST, and practices ­ for reducing cybersecurity risks to critical infrastructure. NIST is developing the Framework

Bentz, Dale P.

408

LEAVE OF ABSENCE OR Updated 11/2010  

E-Print Network [OSTI]

refer to the "Transfer Out" handout on the International Center website. Procedures: 1) Initiate a LOALEAVE OF ABSENCE OR WITHDRAWAL Updated 11/2010 International Center · Illinois Institute of Technology 3201 South State Street, MTCC - Room 203 · Chicago, IL 60616 Phone: 312.567.3680 · Fax: 312

Heller, Barbara

409

2004 INDEX OF INNOVATION AND TECHNOLOGY TRI-CITIES, WASHINGTON  

E-Print Network [OSTI]

to be important to technology firms. This report updates the material in the earlier report. The report shows Innovation 6 Innovation Capacity 6 Education of the Workforce 7 Technology Orientation 8 Patent Generation 9

410

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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing ReservoirsYear-Month WeekReserves (Billion Cubic Next Update:

411

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

SciTech Connect (OSTI)

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

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

1983-07-01T23:59:59.000Z

412

Health & Safety Plan Last Updated  

E-Print Network [OSTI]

Health & Safety Plan Last Updated March 2008 1 #12;A. SCOPE AND RESPONSIBILITY....................................................................................................................................... 3 2. Safety and Health Policy...................................................................................................................... 3 4. Safety Coordinator

Anderson, Richard

413

Agricultural and Resource Economics Update  

E-Print Network [OSTI]

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

2012-01-01T23:59:59.000Z

414

Agricultural and Resource Economics Update  

E-Print Network [OSTI]

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

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

2011-01-01T23:59:59.000Z

415

Progress Update: TRU Waste Shipping  

SciTech Connect (OSTI)

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

Cody, Tom

2010-01-01T23:59:59.000Z

416

Progress Update: TRU Waste Shipping  

ScienceCinema (OSTI)

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

Cody, Tom

2012-06-14T23:59:59.000Z

417

Energy Technologies on the Horizon (released in AEO2006)  

Reports and Publications (EIA)

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.

2006-01-01T23:59:59.000Z

418

Can Science and Technology Capacity be Measured?  

E-Print Network [OSTI]

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.

Wagner, Caroline S; Dutta, Arindum

2015-01-01T23:59:59.000Z

419

Forecasting hotspots using predictive visual analytics approach  

SciTech Connect (OSTI)

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

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

2014-12-30T23:59:59.000Z

420

Comparison of AEO 2007 Natural Gas Price Forecast to NYMEX FuturesPrices  

SciTech Connect (OSTI)

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.

Bolinger, Mark; Wiser, Ryan

2006-12-06T23:59:59.000Z

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


421

Comparison of AEO 2006 Natural Gas Price Forecast to NYMEX FuturesPrices  

SciTech Connect (OSTI)

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.

Bolinger, Mark; Wiser, Ryan

2005-12-19T23:59:59.000Z

422

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

SciTech Connect (OSTI)

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.

Bolinger, Mark; Wiser, Ryan

2004-12-13T23:59:59.000Z

423

Solar Wind Forecasting with Coronal Holes  

E-Print Network [OSTI]

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

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

2007-01-09T23:59:59.000Z

424

A survey on wind power ramp forecasting.  

SciTech Connect (OSTI)

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.

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

2011-02-23T23:59:59.000Z

425

Eagle Project Update Eagle P3 Project Update  

E-Print Network [OSTI]

) offers 11-minute travel time to Westminster #12;5 Eagle P3 Project Scope · Overall capital cost $2 for cost effective index · Allows RTD to spread the cost of the project over a longer time periodEagle Project Update Eagle P3 Project Update Rick Clarke Assistant General Manager, Capital

Bustamante, Fabián E.

426

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

E-Print Network [OSTI]

- 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

Frean, Marcus

427

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...

428

Energy Storage Systems 2010 Update Conference Presentations ...  

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

by SNL's Ross Guttromson, are below. ESS 2010 Update Conference - NYSERDA-DOE Joint Energy Storage Initiative - Georgianne Huff, SNL.pdf ESS 2010 Update Conference - Testing...

429

Energy Storage Systems 2010 Update Conference Presentations ...  

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

and Peak Shifting - Steve Willard, PNM.pdf ESS 2010 Update Conference - Tehachapi Wind Energy Storage - Loic Gaillac, SCE.pdf ESS 2010 Update Conference - Flow Battery Solution...

430

Residential Energy Efficiency Technical Update Meeting: August...  

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

Technical Update Meeting: August 2011 Residential Energy Efficiency Technical Update Meeting: August 2011 On this page, you may link to the summary report and presentations for the...

431

OHVT technology roadmap [2000  

SciTech Connect (OSTI)

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.

Bradley, R.A.

2000-02-01T23:59:59.000Z

432

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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsruc DocumentationP-SeriesFlickr FlickrGuidedCH2MLLC HistoryVeterans | Updates and Status Current

433

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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsruc DocumentationP-Series to someone6Energy,MUSEUM DISPLAYCareers TheEmail Announcements Updates and

434

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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing ReservoirsYear-Month WeekReserves (Billion Cubic Next Update:Next

435

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 on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing ReservoirsYear-Month WeekReserves (Billion Cubic Next Update:Next

436

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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLasDelivered energy consumption by sectorlongUpdates by Diane Johnson Email Alerts Subscribe to

437

Euclid 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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsruc DocumentationP-Series toESnet4:Epitaxial Thin Film XRD EpitaxialProgrammingStatus Updates and

438

Genepool 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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsruc DocumentationP-SeriesFlickr Flickr Editor'sshort version) ThelongEmailStatus Updates and Status

439

Draft Fourth Northwest Conservation and Electric Power Plan, Appendix D ECONOMIC AND DEMAND FORECASTS  

E-Print Network [OSTI]

AND DEMAND FORECASTS INTRODUCTION AND SUMMARY Role of the Demand Forecast A demand forecast of at least 20 years is one of the explicit requirements of the Northwest Power Act. A demand forecast is, of course analysis. Because the future is inherently uncertain, the Council forecasts a range of future demand levels

440

Metrics for Evaluating the Accuracy of Solar Power Forecasting: Preprint  

SciTech Connect (OSTI)

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

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

2013-10-01T23:59:59.000Z

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


441

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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the1 - September 2006 The 2002OpticsPeriodical: Volume 5, Issue 32012)J

442

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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the1 - September 2006 The 2002OpticsPeriodical: Volume 5, Issue 32012)JBPA-PBL May

443

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

SciTech Connect (OSTI)

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.

BARCOT, R.A.

2005-08-17T23:59:59.000Z

444

Managing Wind Power Forecast Uncertainty in Electric Grids.  

E-Print Network [OSTI]

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

Mauch, Brandon Keith

2012-01-01T23:59:59.000Z

445

Western Area Power Administration Starting Forecast Month: Sierra...  

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

CVP Generation Project Use First Preference Purchases and Exchanges Base Resource February 2014 Twelve-Month Forecast of CVP Generation and Base Resource February 2014 January...

446

Western Area Power Administration Starting Forecast Month: Sierra...  

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

Use First Preference Purchases and Exchanges Base Resource April 2014 Twelve-Month Forecast of CVP Generation and Base Resource April 2014 March 2015 Exceedence Level: 90% (Dry)...

447

Western Area Power Administration Starting Forecast Month: Sierra...  

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

Preference Month CVP Generation Project Use First Preference Purchases and Exchanges Base Resource May 2014 Twelve-Month Forecast of CVP Generation and Base Resource May 2014 April...

448

Western Area Power Administration Starting Forecast Month: Sierra...  

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

based on Green Book ("Above Normal") values. Base Resource March 2014 Twelve-Month Forecast of CVP Generation and Base Resource March 2014 February 2015 Exceedence Level: 90%...

449

Wind Power Forecasting Error Distributions: An International Comparison; Preprint  

SciTech Connect (OSTI)

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.

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

450

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

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

forecast models for predicting substantial changes in winds at heights important for wind energy up to six hours in advance, allowing grid operators to predict expected wind...

451

Forecasting the underlying potential governing climatic time series  

E-Print Network [OSTI]

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.

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

2012-01-01T23:59:59.000Z

452

Econometric model and futures markets commodity price forecasting  

E-Print Network [OSTI]

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

Just, Richard E.; Rausser, Gordon C.

1979-01-01T23:59:59.000Z

453

Using Customers' Reported Forecasts to Predict Future Sales  

E-Print Network [OSTI]

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

Gordon, Geoffrey J.

454

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

455

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

456

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

457

State-of-the art of freight forecast modeling: lessons learned and the road ahead  

E-Print Network [OSTI]

of-the art of freight forecast modeling: lessons learned andof goods as well as to forecast the expected future truckused for the short-term forecasts of freight volumes on

Chow, Joseph Y.; Yang, Choon Heon; Regan, Amelia C.

2010-01-01T23:59:59.000Z

458

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

E-Print Network [OSTI]

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

Bolinger, Mark; Wiser, Ryan

2004-01-01T23:59:59.000Z

459

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

E-Print Network [OSTI]

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

Bolinger, Mark A.

2010-01-01T23:59:59.000Z

460

Electricity Demand Forecasting using Gaussian Processes Manuel Blum and Martin Riedmiller  

E-Print Network [OSTI]

Electricity Demand Forecasting using Gaussian Processes Manuel Blum and Martin Riedmiller Abstract We present an electricity demand forecasting algorithm based on Gaussian processes. By introducing. Introduction Electricity demand forecasting is an important aspect of the control and scheduling of power

Teschner, Matthias

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


461

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

E-Print Network [OSTI]

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 ...

Smith, Emily (Emily C.)

2010-01-01T23:59:59.000Z

462

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

E-Print Network [OSTI]

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 ...

Wickham, Richard Robert

1995-01-01T23:59:59.000Z

463

Wind Forecasting Improvement Project | Department of Energy  

Office of Environmental Management (EM)

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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "of EnergyEnergyENERGYWomen Owned SmallOf TheViolations | Department of EnergyisWilliamForecasting

464

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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the1 -the Mid-Infrared at 278, 298,NIST31 ORV 15051SoilWind Energy Wind RenewableForecast

465

Forecast calls for better models | EMSL  

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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsruc DocumentationP-SeriesFlickr Flickr Editor's note: Since theNational SupplementalFor theForecast

466

NREL: Resource Assessment and Forecasting - Facilities  

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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the Contributions andData and Resources NREL resource assessment and forecasting

467

NREL: Resource Assessment and Forecasting - Research Staff  

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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the Contributions andData and Resources NREL resource assessment and forecastingResearch

468

APPROVED MINORS Updated on April 4, 2013  

E-Print Network [OSTI]

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

New Hampshire, University of

469

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

470

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

E-Print Network [OSTI]

114 Solar Irradiance And Power Output Variabilityand L. Bangyin. Online 24-h solar power forecasting based onNielsen. Online short-term solar power forecasting. Solar

Marquez, Ricardo

2012-01-01T23:59:59.000Z

471

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 Drivers of Residential Demand

472

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

E-Print Network [OSTI]

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

Mavromatis, Peter George

2013-01-01T23:59:59.000Z

473

Uncertainty Reduction in Power Generation Forecast Using Coupled Wavelet-ARIMA  

SciTech Connect (OSTI)

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

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

2014-10-27T23:59:59.000Z

474

Distribution Based Data Filtering for Financial Time Series Forecasting  

E-Print Network [OSTI]

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

Bailey, James

475

On the reliability of seasonal forecasts Antje Weisheimer  

E-Print Network [OSTI]

On the reliability of seasonal forecasts Antje Weisheimer Weisheimer to achieving a "5"? à Use reliability of non-climatological forecastsDon: · if (X) C(X) à climatological (reliable) informaDon · if (X) C(X) à

Stevenson, Paul

476

SATELLITE BASED SHORT-TERM FORECASTING OF SOLAR IRRADANCE  

E-Print Network [OSTI]

SATELLITE BASED SHORT-TERM FORECASTING OF SOLAR IRRADANCE - COMPARISON OF METHODS AND ERROR Forecasting of solar irradiance will become a major issue in the future integration of solar energy resources method was used to derive motion vector fields from two consecutive images. The future image

Heinemann, Detlev

477

Predicting Solar Generation from Weather Forecasts Using Machine Learning  

E-Print Network [OSTI]

of smart grid initiatives is significantly increasing the fraction of grid energy contributed by renewables existing forecast-based models. I. INTRODUCTION A key goal of smart grid efforts is to substantially-based prediction models built using seven distinct weather forecast metrics are 27% more accurate for our site than

Shenoy, Prashant

478

Forecasting Uncertainty Related to Ramps of Wind Power Production  

E-Print Network [OSTI]

- 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

Boyer, Edmond

479

FORECASTING WATER DEMAND USING CLUSTER AND REGRESSION ANALYSIS  

E-Print Network [OSTI]

FORECASTING WATER DEMAND USING CLUSTER AND REGRESSION ANALYSIS by Bruce Bishop Professor of Civil 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 water

Keller, Arturo A.

480

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

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


481

Calibrated Probabilistic Forecasting at the Stateline Wind Energy Center  

E-Print Network [OSTI]

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

Washington at Seattle, University of

482

Impact of PV forecasts uncertainty in batteries management in microgrids  

E-Print Network [OSTI]

-- 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

Paris-Sud XI, Université de

483

Probabilistic Wind Speed Forecasting Using Ensembles and Bayesian Model Averaging  

E-Print Network [OSTI]

distribution; Numerical weather prediction; Skewed distribution; Truncated data; Wind energy. 1. INTRODUCTION- native. Purely statistical methods have been applied to short-range forecasts for wind speed only a fewProbabilistic Wind Speed Forecasting Using Ensembles and Bayesian Model Averaging J. Mc

Raftery, Adrian

484

Introducing the Canadian Crop Yield Forecaster Aston Chipanshi1  

E-Print Network [OSTI]

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

Miami, University of

485

A Transformed Lagged Ensemble Forecasting Technique for Increasing Ensemble Size  

E-Print Network [OSTI]

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

Hansens, Jim

486

Forecasting Building Occupancy Using Sensor Network James Howard  

E-Print Network [OSTI]

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

Hoff, William A.

487

National forecast for geothermal resource exploration and development with techniques for policy analysis and resource assessment  

SciTech Connect (OSTI)

The backgrund, structure and use of modern forecasting methods for estimating the future development of geothermal energy in the United States are documented. The forecasting instrument may be divided into two sequential submodels. The first predicts the timing and quality of future geothermal resource discoveries from an underlying resource base. This resource base represents an expansion of the widely-publicized USGS Circular 790. The second submodel forecasts the rate and extent of utilization of geothermal resource discoveries. It is based on the joint investment behavior of resource developers and potential users as statistically determined from extensive industry interviews. It is concluded that geothermal resource development, especially for electric power development, will play an increasingly significant role in meeting US energy demands over the next 2 decades. Depending on the extent of R and D achievements in related areas of geosciences and technology, expected geothermal power development will reach between 7700 and 17300 Mwe by the year 2000. This represents between 8 and 18% of the expected electric energy demand (GWh) in western and northwestern states.

Cassel, T.A.V.; Shimamoto, G.T.; Amundsen, C.B.; Blair, P.D.; Finan, W.F.; Smith, M.R.; Edeistein, R.H.

1982-03-31T23:59:59.000Z

488

Voluntary Green Power Market Forecast through 2015  

SciTech Connect (OSTI)

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

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

2010-05-01T23:59:59.000Z

489

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.

490

Comparison of Wind Power and Load Forecasting Error Distributions: Preprint  

SciTech Connect (OSTI)

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.

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

2012-07-01T23:59:59.000Z

491

Progress Update: M Area Closure  

ScienceCinema (OSTI)

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.

Cody, Tom

2012-06-14T23:59:59.000Z

492

Gearbox Reliability Collaborative Update (Presentation)  

SciTech Connect (OSTI)

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.

Sheng, S.

2013-10-01T23:59:59.000Z

493

Agricultural and Resource Economics Update  

E-Print Network [OSTI]

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

2012-01-01T23:59:59.000Z

494

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.

495

Updated 030613 University of California  

E-Print Network [OSTI]

Updated 030613 University of California Berkeley UC Berkeley Summer Sessions- ASTRON W12/EPS W12: The Solar System with MasteringAstronomy, 6/E. Jeffrey O. Bennett, et al. ISBN-10: 0321642678 ISBN-13

Walker, Matthew P.

496

Ksplice: Automatic Rebootless Kernel Updates  

E-Print Network [OSTI]

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 ...

Kaashoek, M. Frans

2009-01-01T23:59:59.000Z

497

Microsoft Word - updated Recipient Webinar Transcript GL | Department...  

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

updated Recipient Webinar Transcript GL Microsoft Word - updated Recipient Webinar Transcript GL Microsoft Word - updated Recipient Webinar Transcript GL More Documents &...

498

Verification of hourly forecasts of wind turbine power output  

SciTech Connect (OSTI)

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.

Wegley, H.L.

1984-08-01T23:59:59.000Z

499

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

500

NatioNal aNd Global Forecasts West VirGiNia ProFiles aNd Forecasts  

E-Print Network [OSTI]

· 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

Mohaghegh, Shahab