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Note: This page contains sample records for the topic "forecasting division mark" 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

Weather Forecast Data an Important Input into Building Management Systems  

E-Print Network [OSTI]

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

Poulin, L.

2013-01-01T23:59:59.000Z

2

RACORO Forecasting  

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

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

3

Products and Service of Center for Weather Forecast and Climate Studies  

E-Print Network [OSTI]

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

4

Mark D  

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

Mark D. Levine mdlevine@lbl.gov Research  More than 200 publications and major presentations on energy efficiency policy; energy efficiency in buildings; and energy demand and energy efficiency policies in China Education  Summa cum laude, Princeton University  Fulbright scholarship  Woodrow Wilson Foundation scholarship  PhD University of California, Berkeley Management  Head, Energy Analysis Department for 15 years, growing it from 20 staff to >100  Director, Environmental Energy Technologies Division for 10 years (staff of 400)  Founder and Leader, China Energy Group, a unique, long-term collaboration with China on energy efficiency policy, 1988-2012.  Founding Director, U.S. - China Clean Energy Research Center - Building Energy

5

Mark Herrmann  

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

Mark Herrmann Mark Herrmann Director, National Ignition Facility NIF Director Mark Herrmann came to LLNL in October 2014 from Sandia National Laboratories, where he served as...

6

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

7

Mark Johnson  

Broader source: Energy.gov [DOE]

[[{"type":"media","view_mode":"media_large","fid":"799216","attributes":{"alt":"Profile photo of AMO Director Mark Johnson","class":"media-image caption","style":"width: 200px; height: 251px; float...

8

Mark Johnson  

Broader source: Energy.gov [DOE]

Mark Johnson, Ph.D., serves as the Director of the Advanced Manufacturing Office (AMO) in the Office of Energy Efficiency and Renewable Energy (EERE). AMO is focused on creating a fertile...

9

Forecast Prices  

Gasoline and Diesel Fuel Update (EIA)

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

10

ACCELERATOR DIVISION ANNUAL REPORT, JAN-DEC. 1975  

E-Print Network [OSTI]

F. Voelker H. W. Vogel ACCELERATOR THEORY A. A. Garren L. J.marked a turning point for the Accelerator Division. A majorbright indeed. VII ACCELERATOR DIVISION Contents ACCELERATOR

Lofgren, E.J.

2008-01-01T23:59:59.000Z

11

Genomics Division Home  

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

PIs PIs Mark Biggin Jim Bristow Jan-Fang Cheng Inna Dubchak Suzanna Lewis Chris Mungall Len Pennacchio Eddy Rubin Axel Visel Divisional Information Support Staff Seminars Diversity Directory Contact Us The characterization and analysis of genome sequences from such diverse organisms as humans to the most primitive soil microbe represent a watershed opportunity for biology. The Genomics Division is taking advantage of this wealth of new information. While it is well known that DNA encodes the basic blue print of life, it is not known how best to interpret most of this information. To address this question, laboratories within the division are developing computational, biochemical, genetic, and imaging methods to decipher the complex sequence motifs that control RNA transcription, DNA replication, and chromosome structure. The Division is

12

Mark Mendell  

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

J. Mendell J. Mendell Mark Mendell Indoor Environment Group Lawrence Berkeley National Laboratory 1 Cyclotron Road MS 90R3058 Berkeley CA 94720 Office Location: 90-3058E (510) 486-5762 MJMendell@lbl.gov Mark Mendell, Ph.D., is currently a Staff Scientist/Epidemiologist in the Indoor Environment Department. Dr. Mendell is on the editorial board of the journal Indoor Air and a member of the International Academy of Indoor Air Sciences. He was formerly at the Centers for Disease Control/National Institute for Occupational Safety and Health, where he was head of the National Occupational Research Agenda Team on Indoor Environments. Dr. Mendell holds a BA from Cornell University; a Bachelor of Landscape Architecture from the University of Oregon; and a PhD in epidemiology from

13

Mark Palmer  

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

Palmer Palmer Program Mgr. & Group Leader Building & Fire Research Laboratory (BFRL) National Institute of Standards & Technology mark.palmer@nist.gov This speaker was a visiting speaker who delivered a talk or talks on the date(s) shown at the links below. This speaker is not otherwise associated with Lawrence Berkeley National Laboratory, unless specifically identified as a Berkeley Lab staff member. Mark Palmer leads the Computer Integrated Building Processes Group at the Building and Fire Research Laboratory (BFRL) of the National Institute of Standards and Technology (NIST). Mr. Palmer conducts research on measurement science for the integration of information, communication and automation technologies and work process optimization to improve engineering, construction and manufacturing. P> Mr. Palmer is active in

14

2007 National Hurricane Center Forecast Verification Report James L. Franklin  

E-Print Network [OSTI]

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

15

EIA - Census Division List  

Gasoline and Diesel Fuel Update (EIA)

Supplemental Tables > Census Division List Supplemental Tables > Census Division List Supplemental Tables to the Annual Energy Outlook 2010 Division 1 Division 2 Division 3 Division 4 Division 5 New England Middle Atlantic East North Central West North Central South Atlantic Connecticut New Jersey Illinois Iowa Delaware Maine New York Indiana Kansas District of Columbia Massachusetts Pennsylvania Michigan Minnesota Florida New Hampshire Ohio Missouri Georgia Rhode Island Wisconsin Nebraska Maryland Vermont North Dakota North Carolina South Dakota South Carolina Virginia West Virginia Division 6 Division 7 Division 8 Division 9 East South Central West South Central Mountain Pacific Alabama Arkansas Arizona Alaska Kentucky Louisiana Colorado California

16

Lamp Divisions  

Office of Legacy Management (LM)

--- --- /A;; i :' r%i;in~house ilEc;' i:Z3:~cra:ion Lamp Divisions , _.. (I +i. 0 :,,,rg. . I . . -= i?e p/q! qe)-' &se pw E.rcale?l iev, Je!sey 07m March 20, 1 gs? ::r . J. A. Jones I ti. 5. Muclear Regulatory Commission .> = ..- haterials Licensing Branch -s - ,.I, - - Division of Fuel Cycle and hateri al Safety LY. , $2 - _ . ' -' . 3 _- - Yeshington, C. C. 2@555 - :_ :--, =-- -- .-?J -.: y...., : :- 7 Dear Mr. Jones : y-- --, ? . *I 2=15 2 r; X -P The following is our final report of the decontamination efZor?s takz in our Bui Iding 7 basement and wi 11 also serve to update our report i& November 12, 1980. As stated in NRC' s report of December 22, 1983, two closeout inspect ions were conducted by your King of Prussia off i ce on November 21 and December 2,

17

Forecasting wireless communication technologies  

Science Journals Connector (OSTI)

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

Sabrina Patino; Jisun Kim; Tugrul U. Daim

2010-01-01T23:59:59.000Z

18

Wind Power Forecasting  

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

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

19

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

20

Wind Power Forecasting  

Science Journals Connector (OSTI)

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

Sue Ellen Haupt; William P. Mahoney; Keith Parks

2014-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "forecasting division mark" 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

Energy Demand Forecasting  

Science Journals Connector (OSTI)

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

S. C. Bhattacharyya

2011-01-01T23:59:59.000Z

22

CMPC Marking Resource  

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

June 2012 June 2012 CMPC Marking Resource: Examples of Acceptably Marked Classified Matter June 2012 CMPC Marking Resource Examples of Acceptably Marked Classified Matter June 2012 Prepared for U.S. Department of Energy Office of Health, Safety and Security Office of Security Policy CMPC Marking Resource: Examples of Acceptably Marked Classified Matter June 2012 i FOREWORD A strong and cohesive information security program is integral to national security. The

23

Census Division List  

Gasoline and Diesel Fuel Update (EIA)

Supplement Tables to the Annual Energy Outlook 2003 Supplement Tables to the Annual Energy Outlook 2003 Census Division List Division 1 Division 2 Division 3 Division 4 Division 5 New England Middle Atlantic East North Central West North Central South Atlantic Connecticut New Jersey Illinois Iowa Delaware Maine New York Indiana Kansas District of Columbia Massachusetts Pennsylvania Michigan Minnesota Florida New Hampshire Ohio Missouri Georgia Rhode Island Wisconsin Nebraska Maryland Vermont North Dakota North Carolina South Dakota South Carolina Virginia West Virginia Division 6 Division 7 Division 8 Division 9 East South Central West South Central Mountain Pacific Alabama Arkansas Arizona Alaska Kentucky Louisiana Colorado California Mississippi Oklahoma Idaho Hawaii

24

Census Division List  

Gasoline and Diesel Fuel Update (EIA)

5 5 Census Division List Division 1 Division 2 Division 3 Division 4 Division 5 New England Middle Atlantic East North Central West North Central South Atlantic Connecticut New Jersey Illinois Iowa Delaware Maine New York Indiana Kansas District of Columbia Massachusetts Pennsylvania Michigan Minnesota Florida New Hampshire Ohio Missouri Georgia Rhode Island Wisconsin Nebraska Maryland Vermont North Dakota North Carolina South Dakota South Carolina Virginia West Virginia Division 6 Division 7 Division 8 Division 9 East South Central West South Central Mountain Pacific Alabama Arkansas Arizona Alaska Kentucky Louisiana Colorado California Mississippi Oklahoma Idaho Hawaii Tennessee Texas Montana Oregon

25

Improving Inventory Control Using Forecasting  

E-Print Network [OSTI]

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

Balandran, Juan

2005-12-16T23:59:59.000Z

26

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

27

CAPP 2010 Forecast.indd  

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

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

28

Clean Cities: Mark Smith  

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

Mark Smith to someone by E-mail Mark Smith to someone by E-mail Share Clean Cities: Mark Smith on Facebook Tweet about Clean Cities: Mark Smith on Twitter Bookmark Clean Cities: Mark Smith on Google Bookmark Clean Cities: Mark Smith on Delicious Rank Clean Cities: Mark Smith on Digg Find More places to share Clean Cities: Mark Smith on AddThis.com... Goals & Accomplishments Partnerships Hall of Fame Contacts Mark Smith Vehicle Technologies Deployment Manager Mark Smith is the vehicle technologies deployment manager for the Department of Energy's (DOE) national Clean Cities program. His responsibilities include developing outreach strategies for implementing new national partnerships between industry and the Clean Cities program to successfully deploy new vehicle technologies. Smith also works with the

29

EIA - Census Division List  

Gasoline and Diesel Fuel Update (EIA)

9 9 Division 1 Division 2 Division 3 Division 4 Division 5 New England Middle Atlantic East North Central West North Central South Atlantic Connecticut New Jersey Illinois Iowa Delaware Maine New York Indiana Kansas District of Columbia Massachusetts Pennsylvania Michigan Minnesota Florida New Hampshire Ohio Missouri Georgia Rhode Island Wisconsin Nebraska Maryland Vermont North Dakota North Carolina South Dakota South Carolina Virginia West Virginia Division 6 Division 7 Division 8 Division 9 East South Central West South Central Mountain Pacific Alabama Arkansas Arizona Alaska Kentucky Louisiana Colorado California Mississippi Oklahoma Idaho Hawaii Tennessee Texas Montana Oregon

30

Valuing Climate Forecast Information  

Science Journals Connector (OSTI)

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

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

1987-09-01T23:59:59.000Z

31

Comparing Forecast Skill  

Science Journals Connector (OSTI)

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

Timothy DelSole; Michael K. Tippett

2014-12-01T23:59:59.000Z

32

Markings : design through circumstances  

E-Print Network [OSTI]

This thesis begins as a recording of existing "markings" found on the Massachusetts Cape Cod landscape. The term markings is used throughout to mean: a natural occurrence to the landscape or in human behavior related to ...

Johnson, Heidi

1987-01-01T23:59:59.000Z

33

Method of intrinsic marking  

DOE Patents [OSTI]

A method of pulsed laser intrinsic marking can provide a unique identifier to detect tampering or counterfeiting.

Adams, David P; McDonald, Joel Patrick; Jared, Bradley Howell; Hodges, V. Carter; Hirschfeld, Deidre; Blair, Dianna S

2014-04-01T23:59:59.000Z

34

Energy Research and Development Division FINAL PROJECT REPORT  

E-Print Network [OSTI]

Energy Research and Development Division FINAL PROJECT REPORT PROBABILISTIC TRANSMISSION CONGESTION FORECASTING DECEMBER 2012 CEC-500-2013-120 Prepared for: California Energy Commission Prepared by: Electric Research Institute Contract Number: UC MR-052 Prepared for: California Energy Commission Jamie Patterson

35

Energy Research and Development Division FINAL PROJECT REPORT  

E-Print Network [OSTI]

Energy Research and Development Division FINAL PROJECT REPORT EVALUATION OF NUMERICAL WEATHER PREDICTION FOR SOLAR FORECASTING Prepared for: California Energy Commission Prepared by: California Solar Energy Collaborative University of California, San Diego APRIL 2012 CEC-500-2013-115 #12;PRIMARY AUTHOR

36

U.S. Regional Demand Forecasts Using NEMS and GIS  

SciTech Connect (OSTI)

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

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

2005-07-01T23:59:59.000Z

37

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

38

Environmental Energy Technologies Division News  

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

Data Center Energy Use: Truth versus Myth Data Center Energy Use: Truth versus Myth At the height of the electricity crisis of 2001, Californians were greeted over their morning coffee with headlines like: Digital Economy's Demand for Steady Power Strains Utilities Data Servers Crave Power: High-Tech Electricity Needs Amplify Crisis and Net Blamed as Crisis Roils California. One of the biggest misconceptions about the crisis was that the energy use of computers and other internet-related hardware played a significant role. But early in 2001, research by Jon Koomey of Berkeley Lab's Environmental Energy Technologies Division (EETD) showed that widely discussed estimates of the energy use of computer- and networking-related hardware were exaggerated. Koomey is leader of EETD's End-Use Energy Forecasting Group.

39

Census Division List  

Gasoline and Diesel Fuel Update (EIA)

please contact the National Energy Information Center at (202) 586-8800. please contact the National Energy Information Center at (202) 586-8800. Supplement Tables to the Annual Energy Outlook 2002 Census Division List Division 1 Division 2 Division 3 Division 4 Division 5 New England Middle Atlantic East North Central West North Central South Atlantic Connecticut New Jersey Illinois Iowa Delaware Maine New York Indiana Kansas District of Columbia Massachusetts Pennsylvania Michigan Minnesota Florida New Hampshire Ohio Missouri Georgia Rhode Island Wisconsin Nebraska Maryland Vermont North Dakota North Carolina South Dakota South Carolina Virginia West Virginia Division 6 Division 7 Division 8 Division 9 East South Central West South Central Mountain Pacific Alabama Arkansas Arizona Alaska

40

Mark Gilbertson | Department of Energy  

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

Us Mark Gilbertson - Deputy Assistant Secretary, Site Restoration for Environmental Management Photo of Mark Gilbertson Mr. Mark Gilbertson is currently the Deputy Assistant...

Note: This page contains sample records for the topic "forecasting division mark" 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

Mark Nutt | Argonne National Laboratory  

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

Mark Nutt Mark Nutt Principal Nuclear Engineer - Nuclear Engineering Dr. W. Mark Nutt is a Principal Nuclear Engineer at Argonne National Laboratory and is currently the National...

42

Mark Engelhard | EMSL  

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

Mark Engelhard Recent Highlights Cheap catalyst gets expensive accessory Scientists doing some of their research at EMSL found adding a little palladium to iron creates a more...

43

Sandia National Laboratories: solar forecasting  

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

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

44

Biosciences Division | ORNL  

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

Publications Newsletters Organizational Charts Research Highlights Media Mentions Energy and Transportation Science Division Electrical and Electronics Systems Research Division Building Technologies Program Sustainable Transportation Program Clean Energy Home | Science & Discovery | Clean Energy | Supporting Organizations | Biosciences Division SHARE Biosciences Division The objective of the Biosciences Division (BSD) at Oak Ridge National Laboratory is to advance science and technology to better understand complex biological systems and their relationship with the environment. The division has expertise and special facilities in genomics, computational biology, microbiology, microbial ecology, biophysics and structural biology, and plant sciences. This collective expertise includes

45

Consensus Coal Production Forecast for  

E-Print Network [OSTI]

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

Mohaghegh, Shahab

46

Annual Energy Outlook Forecast Evaluation - Tables  

Gasoline and Diesel Fuel Update (EIA)

Annual Energy Outlook Forecast Evaluation Table 2. Total Energy Consumption, Actual vs. Forecasts Table 3. Total Petroleum Consumption, Actual vs. Forecasts Table 4. Total Natural Gas Consumption, Actual vs. Forecasts Table 5. Total Coal Consumption, Actual vs. Forecasts Table 6. Total Electricity Sales, Actual vs. Forecasts Table 7. Crude Oil Production, Actual vs. Forecasts Table 8. Natural Gas Production, Actual vs. Forecasts Table 9. Coal Production, Actual vs. Forecasts Table 10. Net Petroleum Imports, Actual vs. Forecasts Table 11. Net Natural Gas Imports, Actual vs. Forecasts Table 12. Net Coal Exports, Actual vs. Forecasts Table 13. World Oil Prices, Actual vs. Forecasts Table 14. Natural Gas Wellhead Prices, Actual vs. Forecasts Table 15. Coal Prices to Electric Utilities, Actual vs. Forecasts

47

SAMP Bridge Mark Taylor  

E-Print Network [OSTI]

SAMP Bridge Mark Taylor (AstroGrid, Bristol) IVOA Interop Meeting, ESO 9 November 2009 $Id: bridge/9 #12;Operation 1. Two independent hubs are running 2. Bridge starts up, connects to both hubs Mark are running 2. Bridge starts up, connects to both hubs 3. Proxies for Hub 2 clients, controlled by Bridge

Taylor, Mark

48

On Sequential Probability Forecasting  

E-Print Network [OSTI]

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

McCarl, Bruce A.

49

BNL | Mark Israel  

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

Mark Israel Mark Israel Mark Israel Director of Internal Audit photo of Mark Israel In his role as Director of Internal Audit, Mark Israel is responsible for overseeing financial systems and business operations audits for the Laboratory that promote continuous process improvement and mitigation of potential operational and financial risk. Israel's office serves as an independent resource for conducting these audits, and improving business operations as a result of corrective actions taken by management in response to Internal Audit recommendations. His office provides expertise and guidance on effective internal controls and prudent business practices. The Internal Audits are conducted in accordance with the framework of International Standards established by the Institute of Internal Auditors,

50

Division of Administration  

E-Print Network [OSTI]

Contracts & Procurement Don Green Controller Steven Yim Budget Planning & Administration Sarah Song Admin Operations Lieutenant Scot Willey Administration Lieutenant John Brockie Division Communication Editorial Communication Editorial Board looks forward to improving communication within and from the Division and welcomes

de Lijser, Peter

51

Division of Agriculture,  

E-Print Network [OSTI]

DAFVM Division of Agriculture, Forestry, and Veterinary M e d i c i n e Visit us online at www to the Mississippi State University Division of Agriculture, Forestry, and Veterinary Medicine. Discrimination based-3-14) Mississippi State University's Division of Agriculture, Forestry, and Veterinary Medicine, or DAFVM

Ray, David

52

Annual Energy Outlook Forecast Evaluation  

Gasoline and Diesel Fuel Update (EIA)

by Esmeralda Sánchez The Office of Integrated Analysis and Forecasting has produced an annual evaluation of the accuracy of the Annual Energy Outlook (AEO) since 1996. Each year, the forecast evaluation expands on the prior year by adding the projections from the most recent AEO and the most recent historical year of data. The Forecast Evaluation examines the accuracy of AEO forecasts dating back to AEO82 by calculating the average absolute forecast errors for each of the major variables for AEO82 through AEO2003. The average absolute forecast error, which for the purpose of this report will also be referred to simply as "average error" or "forecast error", is computed as the simple mean, or average, of all the absolute values of the percent errors,

53

Annual Energy Outlook Forecast Evaluation  

Gasoline and Diesel Fuel Update (EIA)

by Esmeralda Sanchez by Esmeralda Sanchez Errata -(7/14/04) The Office of Integrated Analysis and Forecasting has produced an annual evaluation of the accuracy of the Annual Energy Outlook (AEO) since 1996. Each year, the forecast evaluation expands on the prior year by adding the projections from the most recent AEO and the most recent historical year of data. The Forecast Evaluation examines the accuracy of AEO forecasts dating back to AEO82 by calculating the average absolute forecast errors for each of the major variables for AEO82 through AEO2003. The average absolute forecast error, which for the purpose of this report will also be referred to simply as "average error" or "forecast error", is computed as the simple mean, or average, of all the absolute values of the percent errors, expressed as the percentage difference between the Reference Case projection and actual historic value, shown for every AEO and for each year in the forecast horizon (for a given variable). The historical data are typically taken from the Annual Energy Review (AER). The last column of Table 1 provides a summary of the most recent average absolute forecast errors. The calculation of the forecast error is shown in more detail in Tables 2 through 18. Because data for coal prices to electric generating plants were not available from the AER, data from the Monthly Energy Review (MER), July 2003 were used.

54

Congressional House Senate Omnibus Request Marks Marks  

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

09 09 FY 2009 ($ in thousands) Congressional House Senate Omnibus Request Marks Marks 3/11/2009 FOSSIL ENERGY R&D Coal 623,732 681,600 644,432 692,410 Natural Gas Technologies 0 25,000 20,000 20,000 Petroleum - Oil Technology 0 3,000 5,000 5,000 Oil and Gas Security 0 0 0 0 Program Direction 126,252 126,252 152,804 152,000 Plant & Capital Equipment 5,000 5,000 17,748 18,000 Environmental Restoration 9,700 9,700 9,700 9,700 Cooperative Res. & Development 0 0 5,000 5,000 Congressional Directed Priorities 0 14,080 32,700 43,864 Special Recruitment Program 656 656 656 656 Subtotal 765,340 865,288 888,040 946,630 Use of prior year balances -11,310 -11,310 -11,310 -70,310 TOTAL FOSSIL ENERGY R&D 754,030 853,978 876,730 876,320 CLEAN COAL TECHNOLOGY*** 0 0 0 0 ULTRA-DEEPWATER AND UNCOVENTIONAL NATURAL

55

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

56

Ensemble Forecasts and their Verification  

E-Print Network [OSTI]

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

Maryland at College Park, University of

57

APPLICATION DIVISION III & PSYCHOLOGY  

E-Print Network [OSTI]

APPLICATION DIVISION III & PSYCHOLOGY Shared Overhead Funds Name: Date: Project Title: Amount and Psychology are intended to provide new and continuing faculty with special help to bring research

Aalberts, Daniel P.

58

Engineering Division Superconducting  

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

10152014 Joseph V. Minervini 74 35 MW superconducting motor Superconducting Fault Current Limiter (SCFL) Technology & Engineering Division HTS (MgB 2 ) * DC superconducting...

59

Probabilistic manpower forecasting  

E-Print Network [OSTI]

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

Koonce, James Fitzhugh

1966-01-01T23:59:59.000Z

60

Diagnosing Forecast Errors in Tropical Cyclone Motion  

Science Journals Connector (OSTI)

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

Thomas J. Galarneau Jr.; Christopher A. Davis

2013-02-01T23:59:59.000Z

Note: This page contains sample records for the topic "forecasting division mark" 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

Project Profile: Forecasting and Influencing Technological Progress...  

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

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

62

Forecasting with adaptive extended exponential smoothing  

Science Journals Connector (OSTI)

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

John T. Mentzer Ph.D.

63

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

64

Energy Department Forecasts Geothermal Achievements in 2015 ...  

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

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

65

HEALTH SCIENCES Division of  

E-Print Network [OSTI]

HEALTH SCIENCES Division of University of nevada, Las vegas IMPACT How we serve our students, our community, and our state #12;academic impact UNLV's Division of Health Sciences is a vital force in the Las Vegas metropolitan area, educating desperately needed health care professionals and taking on some

Cho, Hokwon

66

Annual Energy Outlook Forecast Evaluation  

Gasoline and Diesel Fuel Update (EIA)

Annual Energy Outlook Forecast Evaluation Annual Energy Outlook Forecast Evaluation Annual Energy Outlook Forecast Evaluation by Susan H. Holte In this paper, the Office of Integrated Analysis and Forecasting (OIAF) of the Energy Information Administration (EIA) evaluates the projections published in the Annual Energy Outlook (AEO), (1) by comparing the projections from the Annual Energy Outlook 1982 through the Annual Energy Outlook 2001 with actual historical values. A set of major consumption, production, net import, price, economic, and carbon dioxide emissions variables are included in the evaluation, updating similar papers from previous years. These evaluations also present the reasons and rationales for significant differences. The Office of Integrated Analysis and Forecasting has been providing an

67

Annual Energy Outlook Forecast Evaluation  

Gasoline and Diesel Fuel Update (EIA)

Title of Paper Annual Energy Outlook Forecast Evaluation Title of Paper Annual Energy Outlook Forecast Evaluation by Susan H. Holte OIAF has been providing an evaluation of the forecasts in the Annual Energy Outlook (AEO) annually since 1996. Each year, the forecast evaluation expands on that of the prior year by adding the most recent AEO and the most recent historical year of data. However, the underlying reasons for deviations between the projections and realized history tend to be the same from one evaluation to the next. The most significant conclusions are: Natural gas has generally been the fuel with the least accurate forecasts of consumption, production, and prices. Natural gas was the last fossil fuel to be deregulated following the strong regulation of energy markets in the 1970s and early 1980s. Even after deregulation, the behavior

68

DIVISION & TECHNICAL COMMITTEE MEMBERSHIP: -Division Chair of the ASME NDE (Nondestructive Evaluation) Division, 2003-2005  

E-Print Network [OSTI]

DIVISION & TECHNICAL COMMITTEE MEMBERSHIP: - Division Chair of the ASME NDE (Nondestructive Evaluation) Division, 2003-2005 - Member of the Executive Committee of the ASME NDE Engineering Division, 1997-present - Secretary and Vice-Chairman of the ASME NDE Division from 2001 to 2003 - Program

Wong, Pak Kin

69

High Performance Computing (HPC) Division  

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

HPC Division High Performance Computing (HPC) Division Providing world-class high performance computing capability that enables unsurpassed solutions to complex problems of...

70

Correcting and combining time series forecasters  

Science Journals Connector (OSTI)

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

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

2014-02-01T23:59:59.000Z

71

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

E-Print Network [OSTI]

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

72

Mark C. Wallace Page 1 Mark C. Wallace  

E-Print Network [OSTI]

: 7/2007 Elk habitat consultant - Chihuahua, Mex. #12;Mark C. Wallace Page 2 PROFESSIONAL AND HONORARY

Wallace, Mark C.

73

Principal Investigators | Biosciences Division  

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

Frank Collart Frank Collart BIO Home Page About BIO News Releases Research Publications People Contact Us Organization Chart Site Index Inside BIO BIO Safety About Argonne Frank Collart Biosciences Division Bldg: 202 Room: A-357 Email: fcollart@anl.gov Phone: (630) 252-4859 Fax: (630) 252-5517 Education Professional Experience Publication List Research Highlights > Education: 1984, Ph.D, Medical College of Ohio, Medical Sciences 1982, M.S., Bowling Green State University, Chemistry 1977, B.A., Bowling Green State University, Chemistry > Professional Experience: 1994-present: Molecular Biologist; Biosciences Division, Argonne National Laboratory. 1989-1994: Assistant Molecular Biologist; Division of Biological and Medical Research, Argonne National Laboratory. 1984-1989: Postdoctoral Appointee, Supervisor: Dr Eliezer Huberman; Division of Biological and Medical Research, Argonne National Laboratory.

74

Forecast Energy | Open Energy Information  

Open Energy Info (EERE)

Forecast Energy Forecast Energy Jump to: navigation, search Name Forecast Energy Address 2320 Marinship Way, Suite 300 Place Sausalito, California Zip 94965 Sector Services Product Intelligent Monitoring and Forecasting Services Year founded 2010 Number of employees 11-50 Company Type For profit Website http://www.forecastenergy.net Coordinates 37.865647°, -122.496315° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":37.865647,"lon":-122.496315,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

75

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

76

Forecasting phenology under global warming  

Science Journals Connector (OSTI)

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

2010-01-01T23:59:59.000Z

77

Demand Forecasting of New Products  

E-Print Network [OSTI]

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

Sun, Yu

78

Adaptation of Fuzzy Inferencing: A Survey Payman Arabshahi, Robert J. Marks II, and Russell Reed  

E-Print Network [OSTI]

by input membership functions and processed by a fuzzy logic interpretation of a set of fuzzy rules Control Forecasting Estimation Figure 1: Block diagram of a general fuzzy inference system: The errorAdaptation of Fuzzy Inferencing: A Survey Payman Arabshahi, Robert J. Marks II, and Russell Reed

Arabshahi, Payman

79

Detecting Interesting Event Sequences for Sports Reporting Francois Lareau Mark Dras Robert Dale  

E-Print Network [OSTI]

; Portet et al., 2009), and gas turbine monitoring (Yu et al., 2006). For weather forecasts, Keogh et alDetecting Interesting Event Sequences for Sports Reporting Franc¸ois Lareau Mark Dras Robert Dale that are worth reporting, and evaluate its effectiveness. 1 Introduction We are developing a Natural Language

Dale, Robert

80

WIPP_Marks_12_Years  

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

Marks 12 Years of Operations CARLSBAD, N.M., March 28, 2011 - On Saturday, March 26, 2011, the Department of Energy's Waste Isolation Pilot Plant marked another anniversary. It has...

Note: This page contains sample records for the topic "forecasting division mark" 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

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

82

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...

83

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

84

Mark O'Malley  

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

O'Malley O'Malley Prof., Electrical Engineering Dept. Founder & Director , Electricity Research Center University College Dublin (UCD) This speaker was a visiting speaker who delivered a talk or talks on the date(s) shown at the links below. This speaker is not otherwise associated with Lawrence Berkeley National Laboratory, unless specifically identified as a Berkeley Lab staff member. Mark O'Malley is the Professor of Electrical Engineering at University College Dublin (UCD), founder and Director of the Electricity Research Centre (http://erc.ucd.ie ) an industry supported research group. He has received two Fulbright awards, is a Fellow of the Institute of Electrical and Electronic Engineers (IEEE) and a Member of the Royal Irish Academy. He is recognized as a world leading authority on grid integration of renewable

85

People | Biosciences Division  

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

Lynda Dieckman Lynda Dieckman BIO Home Page About BIO News Releases Research Publications People Contact Us Organization Chart Site Index Inside BIO BIO Safety About Argonne Lynda Dieckman Bldg: 202 Room: B265 E-mail Lynda Dieckman Phone: (630) 252-3953 Full Information Research Highlights > Education: 1989, Ph.D, University of Cincinnati, Physiology and Biophysics 1985, M.S., Case Western Reserve, Biology 1981, B.S., John Carroll University, Biology > Professional Experience: 2008-present Functional Genomics Specialist, Biosciences Division, Argonne National Laboratory, Argonne, IL 2002-2008 Molecular Biologist/Environmental Safety and Health and Quality Assurance Coordinator, Biosciences Division, Argonne National Laboratory, Argonne, IL 1997-2002 Special Term Appointee, Biosciences Division, Argonne National Laboratory, Argonne, IL

86

Argonne Physics Division - ATLAS  

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

[Argonne Logo] [DOE Logo] [Argonne Logo] [DOE Logo] Physics Division Home News Division Information Contact Organization Chart Directory ES&H Scientific Staff Publications Awards & Honors Pictures & Videos New Faces PHY Webmail Meeting Rooms Research Low Energy Medium Energy Theory Accelerator R&D Research Highlights Seminars & Events Colloquium Division Seminar MEP Seminar Theory Seminar Heavy Ion Discussion Student Lunch Talk ATLAS arrowdn Facility Schedules User Info Proposals Targetlab CARIBU FMA Gammasphere GRETINA HELIOS AGFA Search Argonne ... Search ATLAS Facility User Info Proposals Beam Schedule Safety Gammasphere GRETINA FMA CARIBU HELIOS AGFA Targetlab Workshop 2009 25 Years of ATLAS Gretina Workshop ATLAS Gus Savard Guy Savard, Scientific Director of ATLAS Welcome to ATLAS, the Argonne Tandem Linac Accelerator System. ATLAS is the

87

Solar Energy Market Forecast | Open Energy Information  

Open Energy Info (EERE)

Solar Energy Market Forecast Solar Energy Market Forecast Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Solar Energy Market Forecast Agency/Company /Organization: United States Department of Energy Sector: Energy Focus Area: Solar Topics: Market analysis, Technology characterizations Resource Type: Publications Website: giffords.house.gov/DOE%20Perspective%20on%20Solar%20Market%20Evolution References: Solar Energy Market Forecast[1] Summary " Energy markets / forecasts DOE Solar America Initiative overview Capital market investments in solar Solar photovoltaic (PV) sector overview PV prices and costs PV market evolution Market evolution considerations Balance of system costs Silicon 'normalization' Solar system value drivers Solar market forecast Additional resources"

88

Argonne Physics Division - ATLAS  

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

States Naval Academy hartley@usna.edu Mark Riley Florida State University mriley@physics.fsu.edu Alan Wuosmaa (chair) University of Connecticut alan.wuosmaa@uconn.edu The...

89

C-AD Accelerator Division  

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

Accelerator Division Accelerator Division The Accelerator Division operates and continually upgrades a complex of eight accelerators: 2 Tandem Van de Graaff electrostatic accelerators, an Electron Beam Ion Source (EBIS), a 200 MeV proton Linac, the AGS Booster, the Alternating Gradient Synchrotron (AGS), and the 2 rings of the Relativistic Heavy Ion Collider (RHIC). These machines serve user programs at the Tandems, the Brookhaven Linac Isotope Producer (BLIP), the NASA Space Radiation Laboratory (NSRL), and the 2 RHIC experiments STAR, and PHENIX. The Division also supports the development of new accelerators and accelerator components. Contact Personnel Division Head: Wolfram Fischer Deputy Head: Joe Tuozzolo Division Secretary: Anna Petway Accelerator Physics: Michael Blaskiewicz

90

Summary Verification Measures and Their Interpretation for Ensemble Forecasts  

Science Journals Connector (OSTI)

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

A. Allen Bradley; Stuart S. Schwartz

2011-09-01T23:59:59.000Z

91

Annual Energy Outlook Forecast Evaluation  

Gasoline and Diesel Fuel Update (EIA)

by by Esmeralda Sanchez The Office of Integrated Analysis and Forecasting has been providing an evaluation of the forecasts in the Annual Energy Outlook (AEO) annually since 1996. Each year, the forecast evaluation expands on that of the prior year by adding the most recent AEO and the most recent historical year of data. However, the underlying reasons for deviations between the projections and realized history tend to be the same from one evaluation to the next. The most significant conclusions are: * Over the last two decades, there have been many significant changes in laws, policies, and regulations that could not have been anticipated and were not assumed in the projections prior to their implementation. Many of these actions have had significant impacts on energy supply, demand, and prices; however, the

92

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

93

integration division Human Systems  

E-Print Network [OSTI]

Vibration Test Facility incorporates state-of-the-art vibration generation and measurement hardwareintegration division Human Systems ISIS Vibration Test Facility Objective Approach Impact 1. Assess impact of flight-like whole-body vibration on human operational capabilities and ability to maintain

94

Mark Walker Director of Public Affairs  

E-Print Network [OSTI]

associated with poorer quality coal in comparison to the eastern region reserves. Coal price forecasts Fuel Prices for the Sixth Power Plan. In general, the price forecasts in the draft are much lower than prices and immediate/short-term future forecasts, there is enough evidence of a future of constrained

95

Communication of uncertainty in temperature forecasts  

Science Journals Connector (OSTI)

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

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

96

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

97

Massachusetts state airport system plan forecasts.  

E-Print Network [OSTI]

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

Mathaisel, Dennis F. X.

98

Antarctic Satellite Meteorology: Applications for Weather Forecasting  

Science Journals Connector (OSTI)

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

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

2003-02-01T23:59:59.000Z

99

Forecasting Water Use in Texas Cities  

E-Print Network [OSTI]

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

Shaw, Douglas T.; Maidment, David R.

100

Chemistry Division Department of Biological  

E-Print Network [OSTI]

1 Chemistry Division Department of Biological and Chemical Sciences, Illinois Institute-13 Chemistry Division invites nominations for Kilpatrick Fellowship for the academic year 2012's Chemistry Department from 1947­1960. Mary Kilpatrick was a chemistry faculty member from 1947

Heller, Barbara

Note: This page contains sample records for the topic "forecasting division mark" 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

Energy demand forecasting: industry practices and challenges  

Science Journals Connector (OSTI)

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

Mathieu Sinn

2014-06-01T23:59:59.000Z

102

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

103

Annual Energy Outlook Forecast Evaluation  

Gasoline and Diesel Fuel Update (EIA)

Evaluation Evaluation Annual Energy Outlook Forecast Evaluation by Esmeralda Sanchez The Office of Integrated Analysis and Forecasting has been providing an evaluation of the forecasts in the Annual Energy Outlook (AEO) annually since 1996. Each year, the forecast evaluation expands on that of the prior year by adding the most recent AEO and the most recent historical year of data. However, the underlying reasons for deviations between the projections and realized history tend to be the same from one evaluation to the next. The most significant conclusions are: Over the last two decades, there have been many significant changes in laws, policies, and regulations that could not have been anticipated and were not assumed in the projections prior to their implementation. Many of these actions have had significant impacts on energy supply, demand, and prices; however, the impacts were not incorporated in the AEO projections until their enactment or effective dates in accordance with EIA's requirement to remain policy neutral and include only current laws and regulations in the AEO reference case projections.

104

Annual Energy Outlook Forecast Evaluation  

Gasoline and Diesel Fuel Update (EIA)

Analysis Papers > Annual Energy Outlook Forecast Evaluation Analysis Papers > Annual Energy Outlook Forecast Evaluation Release Date: February 2005 Next Release Date: February 2006 Printer-friendly version Annual Energy Outlook Forecast Evaluation* Table 1.Comparison of Absolute Percent Errors for Present and Current AEO Forecast Evaluations Printer Friendly Version Average Absolute Percent Error Variable AEO82 to AEO99 AEO82 to AEO2000 AEO82 to AEO2001 AEO82 to AEO2002 AEO82 to AEO2003 AEO82 to AEO2004 Consumption Total Energy Consumption 1.9 2.0 2.1 2.1 2.1 2.1 Total Petroleum Consumption 2.9 3.0 3.1 3.1 3.0 2.9 Total Natural Gas Consumption 7.3 7.1 7.1 6.7 6.4 6.5 Total Coal Consumption 3.1 3.3 3.5 3.6 3.7 3.8 Total Electricity Sales 1.9 2.0 2.3 2.3 2.3 2.4 Production Crude Oil Production 4.5 4.5 4.5 4.5 4.6 4.7

105

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

106

Essays on macroeconomics and forecasting  

E-Print Network [OSTI]

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

Liu, Dandan

2006-10-30T23:59:59.000Z

107

Forecasting-based SKU classification  

Science Journals Connector (OSTI)

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

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

2013-01-01T23:59:59.000Z

108

Superconducting Magnet Division  

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

3 - 6/13/06 3 - 6/13/06 Superconducting Magnet Division S&T Committee Program Review June 22-23, 2006 Conference Room A, Bldg. 725, BNL DRAFT AGENDA Thursday, June 22 0830 Executive Session to address the charge S. Aronson (25 min) 0855 Welcome S. Aronson (5 min) 0900 Superconducting Magnet Division Status & M. Harrison (45 + 15 min) Issues - mission statement, core competencies, themes, program, problems, etc. 1000 Themes - Nb3Sn, HTS, Direct wind, Accelerator integration, P. Wanderer (20 + 10 min) rapid cycling Core Competencies 1030 Superconducting Materials A. Ghosh (20 + 5 min) 1055 Break 1110 Magnetic Design R. Gupta (20 + 5 min) 1135 Magnet Construction M. Anerella (20 + 5 min) 1200 Magnet Testing G. Ganetis (20 + 5 min)

109

Division Name Will  

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

C O N TA C T > Claude B. Reed | f C O N TA C T > Claude B. Reed | f a x: 63 0- 25 2- 32 96 | C BR e e d@ anl . go v | Nuclear Engineering Division | www.ne.anl.gov Argonne National Laborator y, 9700 South Cass Avenue, Lemont, IL 60439 August 2013 Nuclear Engineering Division Proton beam on lithium film experiment for the FRIB stripper Argonne National Laboratory has developed a liquid lithium charge stripper for use in the Facility for Rare Isotope Beams (FRIB) located at Michigan State University. FRIB will provide intense beams of rare isotopes that cannot be handled by ordinary means, creating a challenge to find a workable concept for the charge stripper and to test it in a beamline environment. The advantages of liquid lithium are: a) the heat deposited on the medium is carried away by the fast moving

110

Life Sciences Division Home  

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

The vision of the Life Sciences Division is to advance basic knowledge, and The vision of the Life Sciences Division is to advance basic knowledge, and the health of humans and the biosphere, by elucidating the 4-Dimensional dynamics of complex biological systems -- ranging from molecules to microbes to humans. Research Highlights New Imaging Technique Identified to Monitor Progression of Heart Failure In a recent publication of Journal of Nuclear Medicine, a team of scientists from Berkeley Lab, the University of Utah, and UC San Francisco describe a new imaging technique used to monitor the progression of heart failure. More » Unlocking the Secrets of Proteins Cryoelectron microscopy is helping to unlock the secrets of proteins as never before, thanks to technology developed for one of the world's most powerful electron microscopes, TEAM, at Berkeley Lab's National Center for

111

Argonne Physics Division  

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

RBW RBW Robert B. Wiringa (the guy on the right) phone: 630/252-6134 FAX: 630/252-6008 e-mail: wiringa@anl.gov Biographical sketch 1972 B.S., Rensselaer Polytechnic Institute 1974 M.S., University of Illinois at Urbana-Champaign 1978 Ph.D., University of Illinois at Urbana-Champaign 1978-80 Research Associate, Los Alamos Scientific Laboratory 1981-83 Research Associate, Argonne National Laboratory 1983-87 Assistant Physicist, Argonne National Laboratory 1987-99 Physicist, Argonne National Laboratory 2000- Senior Physicist, Argonne National Laboratory Visiting appointments 1993 Visiting Associate & Lecturer, California Institute of Technology Honors, Organizations, Committees, etc. 1994-2001 Chief, Theory Group, Physics Division, Argonne National Laboratory 1997-2000 Webmaster, Division of Nuclear Physics, American Physical

112

From: Mark Hanson [mailto:mark@controltecas20.com]  

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

Mark Hanson [mailto:mark@controltecas20.com] Mark Hanson [mailto:mark@controltecas20.com] Sent: Thursday, November 07, 2013 3:02 PM To: Nazar, Hasan; 'Nouri, Ali (Franken)'; Brad Geuke Cc: Cymbalsky, John; Ramos, Derrick; Warner, James Subject: RE: DOE EPCA Commercial Refrigeration Standards - EERE-2010-BT-STD-0003 / (RIN) 1904- AC19 John, Ashley, James and Brad, Thanks for your time today and it was a good discussion. We are a growing company and are controlling thousands of the existing low amperage doors the OEM's are using to meet the current standard. In today's call we discussed the new CRE proposed standard and how ControlTec anti-sweat controls can help meet those standards without sacrificing equipment performance or integrity. We have a revolutionary product that is the only in the business that has built in Measurement &

113

Mark Peters | Argonne National Laboratory  

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

About About Core Capabilities Leadership Message from the Director Board of Governors Organization Chart Argonne Distinguished Fellows Emeritus Scientists & Engineers History Discoveries Prime Contract Contact Us Mark Peters, Deputy Lab Director for Programs Mark Peters Deputy Laboratory Director for Programs Dr. Mark Peters is the Deputy Laboratory Director for Programs at Argonne National Laboratory. He is responsible for the management and integration of the Laboratory's science and technology portfolio, strategic planning, Laboratory Directed Research and Development (LDRD) program and technology transfer. Dr. Peters also serves as a senior advisor to the Department of Energy on nuclear energy technologies and research and development programs, and nuclear waste policy.

114

Mark Hereld | Argonne National Laboratory  

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

Mark Hereld Mark Hereld Experimental Systems Engineer Mark Hereld is a member of the research staff in the Mathematics and Computer Science and a Senior Fellow of the Computation Institute with a joint appointment at the University of Chicago. Hereld's work in understanding simulation on future computer architectures currently focuses on development and characterization of large neural network models of neocortex, including research in parallel programming models and application performance analysis. He is also a principal architect of distributed analysis environments that support collaborative creation of annotated data repositories of multimodal data (audio, video, image, text, numerical) based on web and grid services. Research Interests Advanced infrastructures for computational science including display

115

Mark Lausten | Department of Energy  

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

provide critical solutions necessary for CSP to thrive in both the near-term and future energy markets. Several projects that Mark manages are likely to cut solar collector costs...

116

Los Alamos National Laboratory marks  

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

marks 20 years without full-scale nuclear testing September 26, 2012 LOS ALAMOS, New Mexico, Sept. 26, 2012-Two decades ago the last full-scale underground test of a nuclear weapon...

117

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

118

Environmental Protection Division  

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

Site Details Site Details EPD Home Staff List (pdf) Org Chart (pdf) Compliance / Permits Programs Other Information Land Use & Institutional Controls Mapping Site Environmental Reports Environmental Monitoring Plan (EMP) Spill Response BNL Site Index Can't View PDFs? Developing Environmental Products and Services for Brookhaven Stakeholders The Environmental Protection Division (EPD) develops and delivers environmental products and services for all Brookhaven stakeholders. We manage environmental programs such as pollution prevention, groundwater protection, and natural resource management; provide technical assistance on environmental requirements; maintain the Laboratory's IS0 14001-registered Environmental Management System; prepare environmental permit applications; conduct environmental monitoring; manage data

119

Operations Division at Berkeley Lab  

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

Box DivisionsDepartments Suggestions Search: Go | Advanced Emergency Action Guide Quick Reference LBNL Emergency Preparedness Website LBNL Emergency Preparedness Employee Pocket...

120

Los Alamos Lab: Bioscience Division  

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

Serves the Nation by Reducing Threats to Humans and the Environment Welcome to Bioscience Division Our research integrates biology, chemistry, physics, and computational sciences...

Note: This page contains sample records for the topic "forecasting division mark" 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

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

Science Journals Connector (OSTI)

Bayesian model averaging (BMA) probability quantitative precipitation forecast (PQPF) models were established by calibrating their parameters using 17-day ensemble forecasts of 24-h accumulated precipitation, and observations from 43 ...

Jianguo Liu; Zhenghui Xie

2014-04-01T23:59:59.000Z

122

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

Science Journals Connector (OSTI)

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

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

2010-01-01T23:59:59.000Z

123

EIA - Forecasts and Analysis of Energy Data  

Gasoline and Diesel Fuel Update (EIA)

H Tables H Tables Appendix H Comparisons With Other Forecasts, and Performance of Past IEO Forecasts for 1990, 1995, and 2000 Forecast Comparisons Three organizations provide forecasts comparable with those in the International Energy Outlook 2005 (IEO2005). The International Energy Agency (IEA) provides “business as usual” projections to the year 2030 in its World Energy Outlook 2004; Petroleum Economics, Ltd. (PEL) publishes world energy forecasts to 2025; and Petroleum Industry Research Associates (PIRA) provides projections to 2015. For this comparison, 2002 is used as the base year for all the forecasts, and the comparisons extend to 2025. Although IEA’s forecast extends to 2030, it does not publish a projection for 2025. In addition to forecasts from other organizations, the IEO2005 projections are also compared with those in last year’s report (IEO2004). Because 2002 data were not available when IEO2004 forecasts were prepared, the growth rates from IEO2004 are computed from 2001.

124

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...

125

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...

126

Huge market forecast for linear LDPE  

Science Journals Connector (OSTI)

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

1980-08-25T23:59:59.000Z

127

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

128

Principal Investigators | Biosciences Division  

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

R. Michael Miller R. Michael Miller BIO Home Page About BIO News Releases Research Publications People Contact Us Organization Chart Site Index Inside BIO BIO Safety About Argonne R. Michael Miller Bldg: 203 Room: E161 9700 South Cass Avenue Argonne, Illinois 60439 Email: rmmiller@anl.gov Phone: (630) 252-3395 Fax: (630) 252-8895 Research Highlights Publications > Education: 1975 Ph.D., Illinois State University, Botany and Mycology 1971 M.S., Illinois State University, Biological Sciences 1969 B.S., Colorado State University, Botany > Professional Experience: 2005-current Senior Terrestrial Ecologist, Biosciences Division, Argonne National Laboratory 2007-current Senior Fellow, Institute for Genomic & Systems Biology, University of Chicago and Argonne National Laboratory 2006-2008

129

Former Sites Restoration. Division  

Office of Legacy Management (LM)

@j&s* **$r* :. .+:., @j&s* **$r* :. .+:., II' .,.. I .&i. , :"': T.1 . i *&+t&&., @i i -:.+; L I. * . . .p.isit-!'..r'ir~i _, +.&.., . I. :?I,?.* .L,! j?' aa&* pi 4 L', ..b,- ., .e /w.1( ,v_.c ~A&$?>*:, ,..:.' .1 > . . . . . *. ,.. .I., .( j .~.~:,;;,.".,Certificafion ,Dockef for The ;,il' t:i~>$:+-.. ~~y:Remeciial Action. Performed "' . ::;:cxcgt the @+zb Gate Site in . ;' ! ,Oak Ridge, Tennessee, 7.99 7- 7 992 -.. Department .of Energy Former Sites Restoration. Division . ,Oak Ridge Operations .Office _. February 7 994 @ Printed on recycledhcy&ble paper. CERTIFICATION DOCKET FOR THE REMEDIAL ACTION PERFORMED AT THE ELZA GAP SITE IN OAK RIDGE, TENNESSEE, 1991-1992 FEBRUARY 1994 I Prepared for UNITED STATES DEPARTMENT OF ENERGY

130

Argonne Physics Division - ATLAS  

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

Safety Safety General Radiation Electrical Experiment Safety at ATLAS The Management and Staff at ATLAS and Argonne National Laboratory are fully dedicated to integrating safety into all aspects of work at our facilities. We believe that it is completely possible, and absolutely essenital, to carry out effective research programs without compromising safety. Indeed, the process of incorporating safety into accelerator operations and experimental research begins at the earliest stages. All experiments, equipment, and procedures are reviewed extensively for safety issues prior to their approval. For onsite emergencies, call 911 on the internal phones (or 252-1911 on cell phones) Safety Tom Mullen, Physics Division Safety Engineer. Please Note: If you have any comments or concerns regarding safety at

131

News Releases | Biosciences Division  

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

News Releases News Releases BIO Home Page About BIO News Releases Research Publications People Contact Us Organization Chart Site Index Inside BIO BIO Safety About Argonne Biosciences Division News Releases Protein crystal samples are placed on a small metal tip so X-rays from the adjacent beam pipe can pass through them and diffract off the atoms inside the crystal. Lessening X-ray damage is healthy for protein discovery data too December 16, 2013 - New recommendations for using X-rays promise to speed investigations aimed at understanding the structure and function of biologically important proteins - information critical to the development of new drugs. Read more. Kayakers and boats traverse the branch of the Chicago River in the downtown area Argonne partners with Metropolitan Water Reclamation District to study Chicago River microbe population

132

Eastern Audits Division  

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

Work Plan for FY 2014 Work Plan for FY 2014 Eastern Audits Division  Follow-up of the Reindustrialization Program at East Tennessee Technology Park  Audit of the Department's Management of High-Risk Property  Audit of the Department's Efforts to Reduce Mercury Contamination at the Y-12 National Security Complex  Non-conforming Equipment and Parts at the Savannah River Site  Audit of the Department's Facility Contractors' Use of No Bid Subcontracts  Decontamination and Decommissioning Activities at the Oak Ridge National Laboratory  The Department's Audit Resolution and Follow-up Process  Legacy Management Activities at Selected Sites  Department's Contract Awards Made to Alaska Native Corporation  Readiness of the Saltstone Disposal Facility at the Savannah River Site

133

Guidance Systems Division ,  

Office of Legacy Management (LM)

Oockec No. 10-0772 Oockec No. 10-0772 22 OCT 1981 Bcndlx CorporaLion ' Guidance Systems Division , ATTN: Mr. Wf 11 la,,, Hnrr,,or Manngar, PlanL Englne0rtny Teterboro, New Jersey 07608 uwm STATES NUCLEAll I-IEOULATOIJY COMMISSION REGION i 631 PARK A"LH"I KIN0 OF PR"ISIA. PCNNIVLVANIA ID40' Gentlemen: Subject: Inspectfon 81-15 _ "-- .,; .z .;; Thts refers to the closeout safety \nspectlon conducted by Ms. M. Campbell of this office on August 27, 1961, of activities formerly authorized by NRC License No. STB-424 and to the c!lscussions of our findings held by f4s. Campbell with yourseif aL Lhe conclusion of the inspection. This closeout inspection. was conducted as part of an NRC effort to ensure that facilities where,llcensed activities were forxrrly conducted meet current NRC criteria for release for

134

Mark Vermilyea | Inventors | GE Global Research  

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

Mark Vermilyea Mark Vermilyea Mechanical Engineer Composites "I enjoy the technical and interpersonal challenges of working across research and development teams to solve...

135

Annual Energy Outlook Forecast Evaluation - Table 1. Forecast Evaluations:  

Gasoline and Diesel Fuel Update (EIA)

Average Absolute Percent Errors from AEO Forecast Evaluations: Average Absolute Percent Errors from AEO Forecast Evaluations: 1996 to 2000 Average Absolute Percent Error Average Absolute Percent Error Average Absolute Percent Error Average Absolute Percent Error Average Absolute Percent Error Variable 1996 Evaluation: AEO82 to AEO93 1997 Evaluation: AEO82 to AEO97 1998 Evaluation: AEO82 to AEO98 1999 Evaluation: AEO82 to AEO99 2000 Evaluation: AEO82 to AEO2000 Consumption Total Energy Consumption 1.8 1.6 1.7 1.7 1.8 Total Petroleum Consumption 3.2 2.8 2.9 2.8 2.9 Total Natural Gas Consumption 6.0 5.8 5.7 5.6 5.6 Total Coal Consumption 2.9 2.7 3.0 3.2 3.3 Total Electricity Sales 1.8 1.6 1.7 1.8 2.0 Production Crude Oil Production 5.1 4.2 4.3 4.5 4.5

136

Systems Division NO. REV. NO.  

E-Print Network [OSTI]

Aerospace Systems Division NO. REV. NO. EATM-17 PCU - SOLAR PANEL SIMULATOR TEST REPORT:' Courtois ~ll~K. Hsi #12;MO. REV. MO. EATM-17 ~ Systems Division PCU - Solar Panel Simulator Test Report Conditioning Unit (PCU) is compatible with a solar panel array. The Solar Panel Simulator and the PCU Test Set

Rathbun, Julie A.

137

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

138

Ensemble typhoon quantitative precipitation forecasts model in Taiwan  

Science Journals Connector (OSTI)

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

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

139

Environmental Energy Technologies Division News  

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

9, No. 1 [http://eetd.lbl.gov/newsletter/nl32/] 9, No. 1 [http://eetd.lbl.gov/newsletter/nl32/] Environmental Energy Technologies Division News [http://eetd.lbl.gov/newsletter/] © 2010 Environmental Energy Technologies Division [http://eetd.lbl.gov/] E.O. Lawrence Berkeley National Laboratory [http://www.lbl.gov/] Disclaimer [http://www.lbl.gov/Disclaimers.html] SUMMER NEWSLETTER: VOL. 9, NO. 1 Ashok Gadgil Named Director of Environmental Energy Technologies Division Arsenic Removal Technologies ARPA-E Funding Low-Energy Buildings User Facility ECMA International Standard U.S. Wind Power Market Clean Energy Ministerial Research Highlights Sources and Credits A new Division Director for the Environmental Energy Technologies Division of Lawrence Berkeley National Laboratory, a story about one of his research team's projects to remove naturally-

140

Nuclear Science and Engineering - Divisions  

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

Home Home NSED Divisions The Nuclear Science and Engineering Directorate (NSED) organization is composed of ORNL's only DOE Energy Innovation Hub, a program office, and the following five divisions. Fuel Cycle and Isotopes Division (FCID) FCID focuses on advancing the applications of medical, industrial, and research isotopes (developing separation processes for the processing of radioisotopes and spent nuclear fuels) and designing robotic systems and unique facilities for the safe handling of nuclear materials. Fusion Energy Division (FE) FE is developing the understanding required for an attractive fusion energy source through integrated research, and is pursuing near term applications of plasma science and technology in support of national goals. Global Nuclear Security Technology Division (GNSTD)

Note: This page contains sample records for the topic "forecasting division mark" 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

Argonne Physics Division - Theory Group  

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

Division Seminar: R-150 @ 3:30pm Division Seminar: R-150 @ 3:30pm 14 April 2011 Stefano Gandolfi Los Alamos National Laboratory stefano@lanl.gov Quantum Monte Carlo Study of Strongly Correlated Fermions: Neutron Matter, Neutron Stars and Cold Atoms Division Seminar: R-150 @ 3:30pm 31 March 2011 Lucas Platter Chalmers University of Technology, Göteborg platter@chalmers.se Effective Field Theories for Nuclear Systems Division Seminar: R-150 @ 3:30pm 17 February 2011 Alexandros Gezerlis University of Washington gezerlis@uw.edu Bridging the Gap: Fermions in Nuclear Structure and Nuclear Astrophysics Special Day: Tuesday 15 February 2011 Louis H. Kauffman UIC kauffman@uic.edu Topological Quantum Information and the Jones Polynomial Division Seminar: R-150 @ 3:30pm 10 February 2011 JoaquÃ-n Drut

142

December 12, 2003 Mark Walker  

E-Print Network [OSTI]

to comment on the future power supply role of the Bonneville Power Administration ("BPA"). SUB is a municipal SW 6th Avenue, Suite 1100 Portland, Oregon 97204-1348 Re:Future Role Of The Bonneville PowerDecember 12, 2003 Mark Walker Director of Public Affairs Northwest Power & Conservation Council 851

143

October 19, 2007 Mark Walker  

E-Print Network [OSTI]

October 19, 2007 Mark Walker Director of Public Affairs Northwest Power and Conservation Council 851 SW Sixth Ave., Suite 1100 Portland, OR 97204-1348 Comments of the NW Energy Coalition and Climate Solutions on the "Carbon Dioxide Footprint of the Northwest Power System" The NW Energy Coalition

144

Mark W. Grinstaff Boston University  

E-Print Network [OSTI]

1 Mark W. Grinstaff Boston University Departments of Biomedical Engineering and Chemistry Metcalf of Biomedical Engineering, College of Engineering, Boston University, Boston, MA. 2009 - Professor of Chemistry Center for Science and Engineering 590 Commonwealth Avenue, Boston, MA 02215 Tel: 617.358.3429, Fax: 617

145

October 18, 2007 Mark Walker  

E-Print Network [OSTI]

) conservation and renewable energy resources and 3) gas-fired generation. The first two options have been retirement of older coal-fired plants. Because the analysis of gas-fired replacement of generation by SnakeOctober 18, 2007 Mark Walker Director of Public Affairs Northwest Power & Conservation Council 851

146

July 11, 2008 Mark Walker  

E-Print Network [OSTI]

1 July 11, 2008 Mark Walker Director of Public Affairs Northwest Power and Conservation Council 851 into the Council's "Annual Report to the Northwest Governors on Expenditures of the Bonneville Power Administration to report on ocean conditions and ocean productivity. The large variability in salmon survivals in the ocean

147

Forecast of geothermal drilling activity  

SciTech Connect (OSTI)

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

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

1981-10-01T23:59:59.000Z

148

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

149

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

150

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

151

PROBLEMS OF FORECAST1 Dmitry KUCHARAVY  

E-Print Network [OSTI]

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

Paris-Sud XI, Université de

152

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

153

Amending Numerical Weather Prediction forecasts using GPS  

E-Print Network [OSTI]

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

Stoffelen, Ad

154

A Forecasting Support System Based on Exponential Smoothing  

Science Journals Connector (OSTI)

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

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

2010-01-01T23:59:59.000Z

155

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

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

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

156

Improved Prediction of Runway Usage for Noise Forecast :.  

E-Print Network [OSTI]

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

Dhanasekaran, D.

2014-01-01T23:59:59.000Z

157

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

Energy Savers [EERE]

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

158

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

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

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

159

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

160

ENERGY & ENVIRONMENT DIVISION ANNUAL REPORT 1979  

E-Print Network [OSTI]

Division of Distributed Solar Technology Contractors' Pro-Division of Distributed Solar Technology Insolation Assess-view argues that solar technologies should not be developed.

Cairns, E.J.

2010-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "forecasting division mark" 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

EARTH SCIENCES DIVISION ANNUAL REPORT 1978  

E-Print Network [OSTI]

of Energy's Division of Geothermal Energy has undertaken aand Ghormley, E. L. , 1976. Geothermal energy conversion andof the Division of Geothermal Energy, and is compatible with

Authors, Various

2012-01-01T23:59:59.000Z

162

ENERGY & ENVIRONMENT DIVISION ANNUAL REPORT 1979  

E-Print Network [OSTI]

Population Impacts of Geothermal Energy Development in thethe DOE Division of Geothermal Energy. S. L. Phillips and E.to DOE Division of Geothermal Energy, January 30, 1980.

Cairns, E.J.

2010-01-01T23:59:59.000Z

163

SunShot Initiative: Mark Lausten  

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

Mark Lausten to someone by E-mail Mark Lausten to someone by E-mail Share SunShot Initiative: Mark Lausten on Facebook Tweet about SunShot Initiative: Mark Lausten on Twitter Bookmark SunShot Initiative: Mark Lausten on Google Bookmark SunShot Initiative: Mark Lausten on Delicious Rank SunShot Initiative: Mark Lausten on Digg Find More places to share SunShot Initiative: Mark Lausten on AddThis.com... Accomplishments Visiting the SunShot Office Fellowships Postdoctoral Research Contacts Staff Mark Lausten Technology Development Manager SunShot CSP Program On Contract from SRA International, Inc. Mark is a registered professional engineer with a background in the power industry engineering, procurement, and construction. He began work for the Solar Energy Technologies Office in 2007, focusing on market barriers to

164

Physics division annual report 2006.  

SciTech Connect (OSTI)

This report highlights the activities of the Physics Division of Argonne National Laboratory in 2006. The Division's programs include the operation as a national user facility of ATLAS, the Argonne Tandem Linear Accelerator System, research in nuclear structure and reactions, nuclear astrophysics, nuclear theory, investigations in medium-energy nuclear physics as well as research and development in accelerator technology. The mission of nuclear physics is to understand the origin, evolution and structure of baryonic matter in the universe--the core of matter, the fuel of stars, and the basic constituent of life itself. The Division's research focuses on innovative new ways to address this mission.

Glover, J.; Physics

2008-02-28T23:59:59.000Z

165

Patents: Nuclear Engineering Division (Argonne)  

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

About the Division > Patents About the Division > Patents Director's Welcome Organization Achievements Awards Patents Professional Societies Highlights Fact Sheets, Brochures & Other Documents Multimedia Library About Nuclear Energy Nuclear Reactors Designed by Argonne Argonne's Nuclear Science and Technology Legacy Opportunities within NE Division Visit Argonne Work with Argonne Contact us For Employees Site Map Help Join us on Facebook Follow us on Twitter NE on Flickr Celebrating the 70th Anniversary of Chicago Pile 1 (CP-1) Argonne OutLoud on Nuclear Energy Argonne Energy Showcase 2012 Patents Bookmark and Share Printable Patents List ( PDF PDF file, 225 KB) Over 50 patents have been issued to Nuclear Engineering Division staff members by the US Patent Office from 2000 to present. The table below features a complete list of patents (2000-present) issued

166

Chemical Sciences Division: Research: Programs  

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

Programs Programs The Chemical Sciences Division (CSD) is one of Berkeley Laboratory's basic research divisions. The CSD is composed of individual research groups that conduct research in the areas of chemical physics and the dynamics of chemical reactions, the structure and reactivity of transient species, electron spectroscopy, surface chemistry and catalysis, electrochemistry, chemistry of the actinide elements and their relationship to environmental issues, and atomic physics. The division's 28 principal investigators, many of whom are on the faculty of the University of California at Berkeley, direct the individual research projects and the work of 6 staff scientists, 41 postdoctoral researchers, and 75 graduate students. Our research staff continues to achieve fundamental advances in understanding the structure and reactivity of critical reaction intermediates and transients using both state-of-the-art experimental and theoretical methods. In addition, the division supports a strong effort in heterogeneous and homogeneous catalysis.

167

CIVIC KNOWLEDGE Division of the  

E-Print Network [OSTI]

THE CIVIC KNOWLEDGE PROJECT ___________ ___________ Division of the Humanities University of Chicago CONTACT INFORMATION ___________ CIVIC KNOWLEDGE PROJECT OFFICE Edelstone Rm 133 6030 IDEAS ___________ The aim of the Civic Knowledge Project (CKP) is to develop and strengthen community

He, Chuan

168

DIVISION 16 -ELECTRICAL 16000 GENERAL  

E-Print Network [OSTI]

Electrical Code American National Standards Institute National Electrical Manufacturers Association Institute of Electrical & Electronics Engineers Insulated Cable Engineers Association 3. Three copies of the followingDIVISION 16 - ELECTRICAL _____________________________________________________________ 16000

169

E-Division activities report  

SciTech Connect (OSTI)

E (Experimental Physics) Division carries out basic and applied research in atomic and nuclear physics, in materials science, and in other areas related to the missions of the Laboratory. Some of the activities are cooperative efforts with other divisions of the Laboratory, and, in a few cases, with other laboratories. Many of the experiments are directly applicable to problems in weapons and energy, some have only potential applied uses, and others are in pure physics. This report presents abstracts of papers published by E (Experimental Physics) Division staff members between July 1983 and June 1984. In addition, it lists the members of the scientific staff of the division, including visitors and students, and some of the assignments of staff members on scientific committees. A brief summary of the budget is included.

Barschall, H.H. (comp.)

1984-07-01T23:59:59.000Z

170

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

171

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

172

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

173

Forecasting Uncertainty Related to Ramps of Wind Power Production  

E-Print Network [OSTI]

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

Boyer, Edmond

174

The effect of multinationality on management earnings forecasts  

E-Print Network [OSTI]

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

Runyan, Bruce Wayne

2005-08-29T23:59:59.000Z

175

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

176

Colloquium 2010 - Argonne National Laboratories, Materials Sicence Division  

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

0 0 Materials Science 2010 Colloquium Archive 21-January-2010 Prof. Cheol Seong Hwang, Seol National University Identification and formation mechanism of conducting nano-filaments in TiO2 resistive switching thin film 28-January-2010 Dr. Haifeng Ding, Nanjing University 11-February-2010 Dr. John Schlueter, Materials Science Division Molecular Architectures for Control of Electron Spin and Its Transport, 16-April-2010 Prof. Albrecht Jander, Oregon State University Nanostructured Magentic Materails for Inductors 29-April-2010 Prof. Aldo Romero, CINVESTAV-Unidad Queretaro, Mexico 06-May-2010 Dr. Alex Zayak, UC Berkeley/Molecular Foundry, LBNL 20-May-2010 Dr. Matthew J. Highland, Materials Science Division 27-May-2010 Dr. Mark Stiles, National Institute of Standards and Technology

177

Nuclear Engineering Division Think, explore, discover, innovate  

E-Print Network [OSTI]

Nuclear Engineering Division Think, explore, discover, innovate Never miss important updates managed by UChicago Argonne, LLC 1 Nuclear Engineering Division: Awards Listing (1980 ­ present) Web: http Division of Educational Programs J.C. Braun L.W. Deitrich #12;Nuclear Engineering Division Think, explore

Kemner, Ken

178

Congressional House Senate Final Request Marks Marks Appropriation  

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

FY 2011 FY 2011 FY 2011 FY 2011 ($ in thousands) Congressional House Senate Final Request Marks Marks Appropriation FOSSIL ENERGY R&D Coal 403,850 400,100 452,000 389,688 Natural Gas Technologies 0 0 22,000 0 Unconventional Fossil Energy Technologies 0 0 26,000 0 Program Direction 152,033 152,033 170,300 164,725 Plant & Capital Equipment 20,000 20,000 20,000 19,960 Environmental Restoration 10,000 10,000 10,000 9,980 Cooperative Res. & Dev. 0 0 5,000 0 Congressional Directed Projects 0 3,750 19,950 0 Special Recruitment Program 700 700 700 699 Subtotal, Fossil Energy R&D 586,583 586,583 725,950 585,052 Use of prior year balances -11,000 Rescission of prior year balances -140,000 TOTAL FOSSIL ENERGY R&D 586,583 586,583 725,950 434,052 STRATEGIC PETROLEUM RESERVE

179

Congressional House Senate Current Request Marks Marks Approp  

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

2 2 FY 2012 FY 2012 FY 2012 ($ in thousands) Congressional House Senate Current Request Marks Marks Approp FOSSIL ENERGY R&D Coal 291,358 289,415 291,358 359,320 Natural Gas Technologies 0 15,000 0 14,575 Unconventional Fossil Energy Technologies 0 0 0 4,858 Program Direction 159,233 120,847 151,729 119,929 Plant & Capital Equipment 16,794 16,794 16,794 16,794 Environmental Restoration 7,897 7,897 7,897 7,897 Special Recruitment Program 700 700 700 700 Subtotal, Fossil Energy R&D 475,982 450,653 468,478 524,073 Use of prior year balances -23,007 -23,007 -23,007 0 Rescission of prior year balances 0 0 -187,000 -187,000 TOTAL FOSSIL ENERGY R&D 452,975 427,646 258,471 337,073 STRATEGIC PETROLEUM RESERVE Facilities Development 192,704 192,704 192,704 192,704 Rescission of prior year balances

180

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

Note: This page contains sample records for the topic "forecasting division mark" 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

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

182

Annual Energy Outlook Forecast Evaluation - Tables  

Gasoline and Diesel Fuel Update (EIA)

Analysis Papers > Annual Energy Outlook Forecast Evaluation>Tables Analysis Papers > Annual Energy Outlook Forecast Evaluation>Tables Annual Energy Outlook Forecast Evaluation Download Adobe Acrobat Reader Printer friendly version on our site are provided in Adobe Acrobat Spreadsheets are provided in Excel Actual vs. Forecasts Formats Table 2. Total Energy Consumption Excel, PDF Table 3. Total Petroleum Consumption Excel, PDF Table 4. Total Natural Gas Consumption Excel, PDF Table 5. Total Coal Consumption Excel, PDF Table 6. Total Electricity Sales Excel, PDF Table 7. Crude Oil Production Excel, PDF Table 8. Natural Gas Production Excel, PDF Table 9. Coal Production Excel, PDF Table 10. Net Petroleum Imports Excel, PDF Table 11. Net Natural Gas Imports Excel, PDF Table 12. World Oil Prices Excel, PDF Table 13. Natural Gas Wellhead Prices

183

Annual Energy Outlook Forecast Evaluation - Tables  

Gasoline and Diesel Fuel Update (EIA)

Modeling and Analysis Papers> Annual Energy Outlook Forecast Evaluation>Tables Modeling and Analysis Papers> Annual Energy Outlook Forecast Evaluation>Tables Annual Energy Outlook Forecast Evaluation Actual vs. Forecasts Available formats Excel (.xls) for printable spreadsheet data (Microsoft Excel required) MS Excel Viewer PDF (Acrobat Reader required Download Acrobat Reader ) Adobe Acrobat Reader Logo Table 2. Total Energy Consumption Excel, PDF Table 3. Total Petroleum Consumption Excel, PDF Table 4. Total Natural Gas Consumption Excel, PDF Table 5. Total Coal Consumption Excel, PDF Table 6. Total Electricity Sales Excel, PDF Table 7. Crude Oil Production Excel, PDF Table 8. Natural Gas Production Excel, PDF Table 9. Coal Production Excel, PDF Table 10. Net Petroleum Imports Excel, PDF Table 11. Net Natural Gas Imports Excel, PDF

184

Annual Energy Outlook Forecast Evaluation 2004  

Gasoline and Diesel Fuel Update (EIA)

2004 2004 * The Office of Integrated Analysis and Forecasting of the Energy Information Administration (EIA) has produced annual evaluations of the accuracy of the Annual Energy Outlook (AEO) since 1996. Each year, the forecast evaluation expands on the prior year by adding the projections from the most recent AEO and replacing the historical year of data with the most recent. The forecast evaluation examines the accuracy of AEO forecasts dating back to AEO82 by calculating the average absolute percent errors for several of the major variables for AEO82 through AEO2004. (There is no report titled Annual Energy Outlook 1988 due to a change in the naming convention of the AEOs.) The average absolute percent error is the simple mean of the absolute values of the percentage difference between the Reference Case projection and the

185

Annual Energy Outlook 2001 - Forecast Comparisons  

Gasoline and Diesel Fuel Update (EIA)

Forecast Comparisons Forecast Comparisons Economic Growth World Oil Prices Total Energy Consumption Residential and Commercial Sectors Industrial Sector Transportation Sector Electricity Natural Gas Petroleum Coal Three other organizations—Standard & Poor’s DRI (DRI), the WEFA Group (WEFA), and the Gas Research Institute (GRI) [95]—also produce comprehensive energy projections with a time horizon similar to that of AEO2001. The most recent projections from those organizations (DRI, Spring/Summer 2000; WEFA, 1st Quarter 2000; GRI, January 2000), as well as other forecasts that concentrate on petroleum, natural gas, and international oil markets, are compared here with the AEO2001 projections. Economic Growth Differences in long-run economic forecasts can be traced primarily to

186

energy data + forecasting | OpenEI Community  

Open Energy Info (EERE)

energy data + forecasting energy data + forecasting Home FRED Description: Free Energy Database Tool on OpenEI This is an open source platform for assisting energy decision makers and policy makers in formulating policies and energy plans based on easy to use forecasting tools, visualizations, sankey diagrams, and open data. The platform will live on OpenEI and this community was established to initiate discussion around continuous development of this tool, integrating it with new datasets, and connecting with the community of users who will want to contribute data to the tool and use the tool for planning purposes. Links: FRED beta demo energy data + forecasting Syndicate content 429 Throttled (bot load) Error 429 Throttled (bot load) Throttled (bot load) Guru Meditation: XID: 2084382122

187

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

188

Evaluation of hierarchical forecasting for substitutable products  

Science Journals Connector (OSTI)

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

S. Viswanathan; Handik Widiarta; R. Piplani

2008-01-01T23:59:59.000Z

189

Testing Competing High-Resolution Precipitation Forecasts  

E-Print Network [OSTI]

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

Gilleland, Eric

190

Forecasting Capital Expenditure with Plan Data  

Science Journals Connector (OSTI)

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

W. Gerstenberger

1977-01-01T23:59:59.000Z

191

Forecasting Agriculturally Driven Global Environmental Change  

Science Journals Connector (OSTI)

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

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

2001-04-13T23:59:59.000Z

192

Medium- and Long-Range Forecasting  

Science Journals Connector (OSTI)

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

A. James Wagner

1989-09-01T23:59:59.000Z

193

Updated Satellite Technique to Forecast Heavy Snow  

Science Journals Connector (OSTI)

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

Edward C. Johnston

1995-06-01T23:59:59.000Z

194

Annual Energy Outlook Forecast Evaluation 2005  

Gasoline and Diesel Fuel Update (EIA)

Forecast Evaluation 2005 Forecast Evaluation 2005 Annual Energy Outlook Forecast Evaluation 2005 Annual Energy Outlook Forecast Evaluation 2005 * Then Energy Information Administration (EIA) produces projections of energy supply and demand each year in the Annual Energy Outlook (AEO). The projections in the AEO are not statements of what will happen but of what might happen, given the assumptions and methodologies used. The projections are business-as-usual trend projections, given known technology, technological and demographic trends, and current laws and regulations. Thus, they provide a policy-neutral reference case that can be used to analyze policy initiatives. EIA does not propose or advocate future legislative and regulatory changes. All laws are assumed to remain as currently enacted; however, the impacts of emerging regulatory changes, when defined, are reflected.

195

Forecasting energy markets using support vector machines  

Science Journals Connector (OSTI)

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

Theophilos Papadimitriou; Periklis Gogas; Efthimios Stathakis

2014-01-01T23:59:59.000Z

196

SolidMarks | Open Energy Information  

Open Energy Info (EERE)

SolidMarks Jump to: navigation, search Name: SolidMarks Place: Wallerfing, Germany Zip: 94574 Sector: Solar Product: German project developer found by IdeemaSun and MAGE Solar to...

197

Primary Marks Secondary Marks Word Mark Word Mark Word Mark UCI-00013A UCI-00019A UCI-00025AUCI-00007AUCI-00001A  

E-Print Network [OSTI]

-00012AUCI-00006A 1000 White TBD TBD 1800 White TBD TBD Madeira RA Brand: University of California permitted: Cross licensing with other marks permitted: NO USE of current player's names, image or likeness with PMS 7685. Brand: University of California, Irvine Colors: Pantone Verbiage: PMS Black White PMS 123

Rose, Michael R.

198

Environmental Energy Technologies Division News  

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

2: Vol. 10, No. 3 [http://eetd.lbl.gov/newsletter/nl38/] 2: Vol. 10, No. 3 [http://eetd.lbl.gov/newsletter/nl38/] Environmental Energy Technologies Division News [http://eetd.lbl.gov/newsletter/] © 2012 Environmental Energy Technologies Division [http://eetd.lbl.gov/] E.O. Lawrence Berkeley National Laboratory [http://www.lbl.gov/] Disclaimer [http://www.lbl.gov/Disclaimers.html] WINTER 2012: VOL. 10, NO. 3 Middle-Income Energy Savings LIGTT Greenhouse Gas Standards Port of Oakland Study Ashok Gadgil Wins Zayed Award Max Tech Research Highlights Sources and Credits Congratulations to EETD Division Director Ashok Gadgil, winner of the Zayed Future Energy Prize lifetime achievement award, about which you can read in this issue. We also present research on how energy efficiency program managers can better reach middle-income families, and perhaps

199

Environmental Energy Technologies Division News  

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

0: 0: Vol. 9, No. 1 Ashok Gadgil Named Director of Environmental Energy Technologies Division Arsenic Removal Technologies ARPA-E Funding Low-Energy Buildings User Facility ECMA International Standard U.S. Wind Power Market Clean Energy Ministerial Research Highlights Sources and Credits PDF of EETD News Ashok Gadgil Named New EETD Director Ashok Gadgil Ashok Gadgil has been named Director of Lawrence Berkeley National Laboratory's (Berkeley Lab's) Environmental Energy Technologies Division (EETD). Serving as the Acting Division Director since October, he replaces Arun Majumdar who is now Director of the DOE's Advanced Research Projects Agency-Energy (ARPA-E). Gadgil is a Professor in Civil and Environmental Engineering at UC Berkeley and joined EETD in 1988. He is recognized for

200

Fermilab's Accelerator and Research Divisions  

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

July 19, 1996 July 19, 1996 Number 14 Fixed-target experimenters not only expect Fermilab's Accelerator and Research Divisions to turn water into wine-they need 10 different vintages. Providing beam to fixed-target experiments presents the challenge of converting high-inten- sity protons into 10 separate beams of varying intensities and particles, from kaons to neu- trinos. The Accelerator Division generates and splits the beam, and then hands the protons off to the Research Division, which converts them into beams of different particles. The process begins with a breath of hydrogen gas. Eventually the hydrogen atoms lose their outer electrons and become a stream of protons-the formation of the beam. Physicists measure two characteristics of the beam: its energy (eV) and its intensity. Intensity

Note: This page contains sample records for the topic "forecasting division mark" 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

Highlights: Nuclear Engineering Division (Argonne)  

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

About the Division > Highlights About the Division > Highlights Director's Welcome Organization Achievements Awards Patents Professional Societies Highlights Fact Sheets, Brochures & Other Documents Multimedia Library About Nuclear Energy Nuclear Reactors Designed by Argonne Argonne's Nuclear Science and Technology Legacy Opportunities within NE Division Visit Argonne Work with Argonne Contact us For Employees Site Map Help Join us on Facebook Follow us on Twitter NE on Flickr Celebrating the 70th Anniversary of Chicago Pile 1 (CP-1) Argonne OutLoud on Nuclear Energy Argonne Energy Showcase 2012 Highlights Bookmark and Share Click on the "Date" header to sort the NE highlights in chronological order (ascending or descending). You may also search through the NE highlights for a specific keyword/year;

202

Environmental Energy Technologies Division News  

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

8, No. 4 [http://eetd.lbl.gov/newsletter/nl31/] 8, No. 4 [http://eetd.lbl.gov/newsletter/nl31/] Environmental Energy Technologies Division News [http://eetd.lbl.gov/newsletter/] © 2010 Environmental Energy Technologies Division [http://eetd.lbl.gov/] E.O. Lawrence Berkeley National Laboratory [http://www.lbl.gov/] Disclaimer [http://www.lbl.gov/Disclaimers.html] SPRING NEWSLETTER: VOL. 8, NO. 4 OpenADR's Steps Toward a National Smart Grid Standard Dangers of Third-Hand Smoke Energy Efficiency Workforce Training John Newman Wins the Acheson Award Net Metered PV Systems Recovery Act Grant Program Evaluation Sources and Credits As the nation continues moving toward a more energy-efficient economy, research at the Environmental Energy Technologies Division plays its part in developing the technologies it needs for the Smart Grid, and in evaluating policies aimed at increasing energy efficiency

203

Environmental Energy Technologies Division News  

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

9, No. 2 [http://eetd.lbl.gov/newsletter/nl33/] 9, No. 2 [http://eetd.lbl.gov/newsletter/nl33/] Environmental Energy Technologies Division News [http://eetd.lbl.gov/newsletter/] © 2010 Environmental Energy Technologies Division [http://eetd.lbl.gov/] E.O. Lawrence Berkeley National Laboratory [http://www.lbl.gov/] Disclaimer [http://www.lbl.gov/Disclaimers.html] FALL NEWSLETTER: VOL. 9, NO. 2 Driving Demand Bennett-Nordman IEEE Standard Nicotine and Ozone SVOW Renewables Portfolio Standard Report Kerosene Lamp Particulate Study Research Highlights Sources and Credits New ways of convincing homeowners of the benefits of energy efficiency improvements to their homes-and new language to use in discussing these benefits-is discussed in a report titled "Driving Demand" from Environmental Energy Technologies Division researchers. This issue also

204

Physics Division progress report for period ending September 30, 1988  

SciTech Connect (OSTI)

This report covers the research and development activities of the Physics Division for the 1988 fiscal year, beginning October 1, 1987, and ending September 30, 1988. The activities of this Division are concentrated in the areas of experimental nuclear physics, experimental atomic physics, and theoretical nuclear and atomic physics. Operation of the Holifield Heavy Ion Research Facility as a national user facility continues to represent the single largest activity within the Division. This year saw the completion of the acceleration tube upgrade of the 25-MV tandem electrostatic accelerator and the achievement of record terminal potentials, operation for an experiment with 25 million volts on terminal, and successful tests with beam at 25.5 MV. The experimental nuclear physics program continues to be dominated by research utilizing heavy ions. These activities, while continuing to center largely on the Holifield Facility, have seen significant growth in the use of facilities that provide intermediate energies and especially ultrarelativistic beams. The UNISOR program, since its inception, has been intimately associated with the Division and, most particularly, with the Holifield Facility. In addition to the Holifield Facility, the Division operates two smaller facilities, the EN Tandem and the ECR Ion Source Facility, as ''User Resources.'' The efforts in theoretical physics, covering both nuclear and atomic physics, are presented. In addition to research with multicharged heavy ions from the ECR source, the effort on atomic physics in support of the controlled fusion program includes a plasma diagnostics development program. The concentration of this program on optical and laser technology is marked by the change in designation to the Laser and Electro-Optics Lab. A small, continuing effort in elementary particle physics, carried out in collaboration with the University of Tennessee, is reported.

Livingston, A.B. (ed.)

1989-03-01T23:59:59.000Z

205

Grad Assistants Make Their Mark | Y-12 National Security Complex  

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

Grad Assistants Make Their ... Grad Assistants Make Their ... Grad Assistants Make Their Mark Posted: July 22, 2013 - 3:16pm | Y-12 Report | Volume 10, Issue 1 | 2013 Grad students at Y-12 are a dynamic driving force that directly affects Y-12's mission success. Professionally, it's the ultimate test drive. Thirty University of Tennessee graduate students, in engineering, law, communications, science and business, have each taken a driver's seat at Y-12 and are making notable contributions to core missions. "The grad assistants program is a terrific two-way street," said Program Management's Tom Berg, who oversees the growing program. Y-12 divisions seeking fresh ideas and extra hands are paired with UT students who work up to 20 hours per week in exchange for on-the-job professional

206

Enabling Technologies Lead: Mark Davis  

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

Technologies Technologies Lead: Mark Davis 3.2 Omics Platforms for Systems Biology Lead: Tim Tschaplinski 3.3 Advanced Pretreatment Configuration and Conditions Lead: Charles Wyman 3.1 Characterization of Biomass Features that Enhance Sugar Release Lead: Art Ragauskas 3.1.1 Support for Identification of the TOP40 Recalcitrant Lines (Gjersing) 3.1.2 In-Depth Cell Wall Characterization (Ragauskas) 3.2.1 Transcriptomics & Resequencing (Brown) 3.2.2 Proteomics (Hettich) 3.3.4 Demonstration of Improved Plants with CBP Organisms (Yee) 3.4 Computational Biology Lead: Ying Xu 3.3.1 Enhance Understanding of Pretreatment Fundamentals and Control Recalcitrance (Wyman) 3.3.2 Integrate, Optimize, and Understand Pretreatment with Advanced Plants (Wyman) 3.4.1 An Integrated Omics Data Analysis and

207

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

Science Journals Connector (OSTI)

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

S. Viswanathan; Handik Widiarta; Rajesh Piplani

2008-07-01T23:59:59.000Z

208

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

209

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

SciTech Connect (OSTI)

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

Templeton, K.J.

1996-05-23T23:59:59.000Z

210

Publishing Division The Edinburgh Building  

E-Print Network [OSTI]

Publishing Division The Edinburgh Building Shaftesbury Road Cambridge CB2 2RU, UK TELEPHONE 01223 The Pitt Building, Trumpington Street, Cambridge, United Kingdom CAMBRIDGE UNIVERSITY PRESS The Edinburgh Building, Cambridge CB2 2RU, UK 40 West 20th Street, New York NY 10011-4211, USA 477 Williamstown Road

Rosenberger, Alfred H.

211

Environmental Transport Division: 1979 report  

SciTech Connect (OSTI)

During 1979, the Environmental Transport Division (ETD) of the Savannah River Laboratory conducted atmospheric, terrestrial, aquatic, and marine studies, which are described in a series of articles. Separate abstracts were prepared for each. Publications written about the 1979 research are listed at the end of the report.

Murphy, C.E. Jr.; Schubert, J.F.; Bowman, W.W.; Adams, S.E.

1980-03-01T23:59:59.000Z

212

PUBLIC HEALTH DIVISION Coronavirus infections  

E-Print Network [OSTI]

PUBLIC HEALTH DIVISION Coronavirus infections MERS-CoV (Middle Eastern respiratory syndrome people who cared for those who were sick with MERS also became ill. MERS might come from other sources with diabetes, lung disease or other serious health problems appear to be at higher risk for severe illness

Khan, Javed I.

213

Oregon Land Management Division - Easements | Open Energy Information  

Open Energy Info (EERE)

Division - Easements Jump to: navigation, search OpenEI Reference LibraryAdd to library Web Site: Oregon Land Management Division - Easements Author Oregon Land Management Division...

214

Dr Mark R Pederson | U.S. DOE Office of Science (SC)  

Office of Science (SC) Website

R Pederson R Pederson Chemical Sciences, Geosciences, & Biosciences (CSGB) Division CSGB Home About Staff Listings/Contact Information What's New Research Areas Scientific Highlights Reports & Activities Principal Investigators' Meetings BES Home Staff Listings/Contact Information Dr. Mark R Pederson Print Text Size: A A A RSS Feeds FeedbackShare Page Dr. Mark R. Pederson Program Manager Computational and Theoretical Chemistry Office of Basic Energy Sciences SC-22.1/Germantown Building U.S. Department of Energy 1000 Independence Avenue, SW Washington, D.C. 20585-1290 E-Mail:Mark.Pederson@science.doe.gov Phone: (301) 903-9956 Fax: (301) 903-0271 Dr. Pederson is the program manager for Theoretical and Computational Chemistry. From 1996 until joining DOE, he was the section head in the "Theory of

215

Dr Mark Spitler | U.S. DOE Office of Science (SC)  

Office of Science (SC) Website

Spitler Spitler Chemical Sciences, Geosciences, & Biosciences (CSGB) Division CSGB Home About Staff Listings/Contact Information What's New Research Areas Scientific Highlights Reports & Activities Principal Investigators' Meetings BES Home Staff Listings/Contact Information Dr. Mark Spitler Print Text Size: A A A RSS Feeds FeedbackShare Page Dr. Mark Spitler Program Manager Solar Photochemistry Office of Basic Energy Sciences SC-22.1/Germantown Building U.S. Department of Energy 1000 Independence Avenue, SW Washington, D.C. 20585-1290 E-Mail:mark.spitler@science.doe.gov Phone: (301) 903-4568 Fax: (301) 903-0271 Dr. Spitler joined the U.S. Department of Energy in 2007 as the program manager for the Solar Photochemistry program. Prior to joining DOE, Dr. Spitler was a Senior Scientist at the National Renewable Energy Laboratory

216

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

E-Print Network [OSTI]

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

Mosier, Richard Matthew

2011-02-22T23:59:59.000Z

217

Annual Energy Outlook Forecast Evaluation - Tables  

Gasoline and Diesel Fuel Update (EIA)

Annual Energy Outlook Forecast Evaluation Annual Energy Outlook Forecast Evaluation Actual vs. Forecasts Available formats Excel (.xls) for printable spreadsheet data (Microsoft Excel required) PDF (Acrobat Reader required) Table 2. Total Energy Consumption HTML, Excel, PDF Table 3. Total Petroleum Consumption HTML, Excel, PDF Table 4. Total Natural Gas Consumption HTML, Excel, PDF Table 5. Total Coal Consumption HTML, Excel, PDF Table 6. Total Electricity Sales HTML, Excel, PDF Table 7. Crude Oil Production HTML, Excel, PDF Table 8. Natural Gas Production HTML, Excel, PDF Table 9. Coal Production HTML, Excel, PDF Table 10. Net Petroleum Imports HTML, Excel, PDF Table 11. Net Natural Gas Imports HTML, Excel, PDF Table 12. Net Coal Exports HTML, Excel, PDF Table 13. World Oil Prices HTML, Excel, PDF

218

Procurement Division | Princeton Plasma Physics Lab  

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

Procurement Division Introduction Technology Transfer Furth Plasma Physics Library Contact Us Lab Leadership Directory Careers Human Resources Environment, Safety & Health...

219

Computing and Computational Sciences Directorate - Divisions  

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

CCSD Divisions Computational Sciences and Engineering Computer Sciences and Mathematics Information Technolgoy Services Joint Institute for Computational Sciences National Center...

220

Security Policy, CMPC Marking Resource | Department of Energy  

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

Security Policy, CMPC Marking Resource Security Policy, CMPC Marking Resource June 2012 Examples illustrate markings for matter that contains classified information. A strong and...

Note: This page contains sample records for the topic "forecasting division mark" 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

EARTH SCIENCES Lower-Division Requirements  

E-Print Network [OSTI]

2012-2013 EARTH SCIENCES Lower-Division Requirements Math 20A_____ 20B_____ 20C_____ 20D (BILD 3) _____ SIO 50* _____ Group A: Earth Science Upper-Division Core Requirements (all courses _____ Introduction to Geophysics SIO 104 _____ Paleobiology and History of Life* Group B: Upper-Division Earth

Constable, Steve

222

Chemical Marketing and Economics Division reprints  

Science Journals Connector (OSTI)

Chemical Marketing and Economics Division reprints ... The ACS Chemical Marketing and Economics Division has available reprints of the symposiums listed below. ... Make checks payable to Chemical Marketing and Economics Division, ACS, and send to the assistant treasurer, H. C. McClure, Richardson Co., 2700 West Lake St., Melrose Park, Ill. ...

1968-09-16T23:59:59.000Z

223

The Division of Biology & Biomedical Sciences  

E-Print Network [OSTI]

The Division of Biology & Biomedical Sciences what will YOU discover? #12;620students more than 470faculty 36departments 12programs and one YOU. DBBS Division of Biology and Biomedical Sciences Washington. The Division of Biology and Biomedical Sciences (DBBS) is ideally positioned to foster the interdisciplinary

Kornfeld, S. Kerry

224

OFFICE OF THE DIVISION ENGINEER CORPS OF ENGINEERS, MISSISSIPPI VALLEY DIVISION  

E-Print Network [OSTI]

OFFICE OF THE DIVISION ENGINEER CORPS OF ENGINEERS, MISSISSIPPI VALLEY DIVISION P.O. BOX 80, 1400 39181-0080, who is also the Division Engineer, Department of the Army, Mississippi Valley Division River at Cairo, Illinois and Baton Rouge, Louisiana, is approximately 726 miles long. Navigation

US Army Corps of Engineers

225

12-32021E2_Forecast  

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

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

226

Building Energy Software Tools Directory: Degree Day Forecasts  

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

Forecasts Forecasts Degree Day Forecasts example chart Quick and easy web-based tool that provides free 14-day ahead degree day forecasts for 1,200 stations in the U.S. and Canada. Degree Day Forecasts charts show this year, last year and three-year average. Historical degree day charts and energy usage forecasts are available from the same site. Keywords degree days, historical weather, mean daily temperature Validation/Testing Degree day data provided by AccuWeather.com, updated daily at 0700. Expertise Required No special expertise required. Simple to use. Users Over 1,000 weekly users. Audience Anyone who needs degree day forecasts (next 14 days) for the U.S. and Canada. Input Select a weather station (1,200 available) and balance point temperature. Output Charts show (1) degree day (heating and cooling) forecasts for the next 14

227

Building Energy Software Tools Directory: Energy Usage Forecasts  

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

Energy Usage Forecasts Energy Usage Forecasts Energy Usage Forecasts Quick and easy web-based tool that provides free 14-day ahead energy usage forecasts based on the degree day forecasts for 1,200 stations in the U.S. and Canada. The user enters the daily non-weather base load and the usage per degree day weather factor; the tool applies the degree day forecast and displays the total energy usage forecast. Helpful FAQs explain the process and describe various options for the calculation of the base load and weather factor. Historical degree day reports and 14-day ahead degree day forecasts are available from the same site. Keywords degree days, historical weather, mean daily temperature, load calculation, energy simulation Validation/Testing Degree day data provided by AccuWeather.com, updated daily at 0700.

228

Forecasting Market Demand for New Telecommunications Services: An Introduction  

E-Print Network [OSTI]

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

McBurney, Peter

229

River Forecast Application for Water Management: Oil and Water?  

Science Journals Connector (OSTI)

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

Kevin Werner; Kristen Averyt; Gigi Owen

2013-07-01T23:59:59.000Z

230

Data Mining in Load Forecasting of Power System  

Science Journals Connector (OSTI)

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

Guang Yu Zhao; Yan Yan; Chun Zhou Zhao

2013-01-01T23:59:59.000Z

231

Operational Rainfall and Flow Forecasting for the Panama Canal Watershed  

Science Journals Connector (OSTI)

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

Konstantine P. Georgakakos; Jason A. Sperfslage

2005-01-01T23:59:59.000Z

232

Power System Load Forecasting Based on EEMD and ANN  

Science Journals Connector (OSTI)

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

Wanlu Sun; Zhigang Liu; Wenfan Li

2011-01-01T23:59:59.000Z

233

U.S. Regional Demand Forecasts Using NEMS and GIS  

E-Print Network [OSTI]

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

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

2005-01-01T23:59:59.000Z

234

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

Energy Savers [EERE]

Beyond "Partly Sunny": A Better Solar Forecast Beyond "Partly Sunny": A Better Solar Forecast December 7, 2012 - 10:00am Addthis The Energy Department is investing in better solar...

235

The Energy Demand Forecasting System of the National Energy Board  

Science Journals Connector (OSTI)

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

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

1980-01-01T23:59:59.000Z

236

Forecasting Energy Demand Using Fuzzy Seasonal Time Series  

Science Journals Connector (OSTI)

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

?Irem Ual Sar?; Basar ztaysi

2012-01-01T23:59:59.000Z

237

NREL: Biomass Research - Mark R. Nimlos  

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

R. Nimlos Mark Nimlos is a Principal Scientist and Supervisor for the Biomass Molecular Sciences group in the National Bioenergy Center at the National Renewable Energy Laboratory....

238

Ceremony Marks Completion of CA Index  

Science Journals Connector (OSTI)

Ceremony Marks Completion of CA Index ... The mushroom growth of CA makes it necessary to compile future indexes in spans of FINISHED. ...

1962-09-17T23:59:59.000Z

239

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

240

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

Note: This page contains sample records for the topic "forecasting division mark" 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

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

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

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

242

Environmental Energy Technologies Division News  

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

1999: 1999: Vol. 1, No. 1 Characterizing Diesel Particle Exhaust Miscellaneous Electricity Use COMIS: An Interzonal Air-Flow Model GenOpt: A Generic Optimization Program News from the D.C. Office Around the Division The A-Team Report Sources and Credits PDF of EETD News Characterizing Diesel Particle Exhaust Recent concern about the risks to human health from airborne particulates such as those in diesel exhaust has motivated a group at the Environmental Energy Technologies Division to investigate the use of scattered polarized light. The goals are to characterize these particles and develop an instrument to measure these characteristics in real time. Having such an instrument can help regulatory authorities develop standards and monitor air quality. Airborne particulates, especially those less than 2.5

243

Environmental Energy Technologies Division News  

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

1, No. 4 [http://eetd.lbl.gov/newsletter/nl43/] 1, No. 4 [http://eetd.lbl.gov/newsletter/nl43/] Environmental Energy Technologies Division News [http://eetd.lbl.gov/newsletter/] ©2013 Environmental Energy Technologies Division [http://eetd.lbl.gov/] E.O. Lawrence Berkeley National Laboratory [http://www.lbl.gov/] Disclaimer [http://www.lbl.gov/Disclaimers.html] SPRING 2013: VOL. 11, NO. 4 Deep Energy Retrofits Health-Based Ventilation Standard-Interview with Max Sherman Energy-Efficient School Districts Guide Nanometer Laser-Based Chemical Sensing Demand-to-Grid Lab Research Highlights Sources and Credits Research that examines how homes can save 70 percent or more of their energy use is this issue's cover story. EETD researchers studied several northern California homes whose owners implemented their own plans to make extreme reductions in energy consumption and found that

244

Environmental Energy Technologies Division News  

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

9, No. 3 [http://eetd.lbl.gov/newsletter/nl34/] 9, No. 3 [http://eetd.lbl.gov/newsletter/nl34/] Environmental Energy Technologies Division News [http://eetd.lbl.gov/newsletter/] © 2011 Environmental Energy Technologies Division [http://eetd.lbl.gov/] E.O. Lawrence Berkeley National Laboratory [http://www.lbl.gov/] Disclaimer [http://www.lbl.gov/Disclaimers.html] WINTER NEWSLETTER: VOL. 9, NO. 3 Commercial Buildings Clean Energy Research Center OpenADR Alliance Energy Efficient Data Center Retrofit Home Energy Score Pilot Program Tracking the Sun III Research Highlights Sources and Credits The Department of Energy's Commercial Building Partnerships initiative is establishing collaborations to increase energy efficiency in new and existing commercial buildings. It teams National Laboratory researchers and private technical experts with commercial building owners and

245

Environmental Energy Technologies Division News  

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

0, No. 2 [http://eetd.lbl.gov/newsletter/nl37/] 0, No. 2 [http://eetd.lbl.gov/newsletter/nl37/] Environmental Energy Technologies Division News [http://eetd.lbl.gov/newsletter/] © 2011 Environmental Energy Technologies Division [http://eetd.lbl.gov/] E.O. Lawrence Berkeley National Laboratory [http://www.lbl.gov/] Disclaimer [http://www.lbl.gov/Disclaimers.html] FALL 2011: VOL. 10, NO. 2 Carbon Cycle 2.0 Analysis Team Carbon Sequestration Study Materials Genome Project Increased Building Ventilation VOC Cleaning Technology Fort Irwin Lighting Testbed Tracking the Sun IV Cool Coatings for Cars Research Highlights Sources and Credits Understanding how effectively new technologies can save energy, water, and materials-as well as reduce energy costs and greenhouse gas emissions-is the goal of the Carbon Cycle 2.0 Energy and

246

Environmental Energy Technologies Division News  

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

2011: Vol. 10, No. 1 [http://eetd.lbl.gov/newsletter/nl36/] 2011: Vol. 10, No. 1 [http://eetd.lbl.gov/newsletter/nl36/] Environmental Energy Technologies Division News [http://eetd.lbl.gov/newsletter/] © 2011 Environmental Energy Technologies Division [http://eetd.lbl.gov/] E.O. Lawrence Berkeley National Laboratory [http://www.lbl.gov/] Disclaimer [http://www.lbl.gov/Disclaimers.html] SUMMER 2011: VOL. 10, NO. 1 Energy Information Systems ISO 50001 BEST Dairy Benchmarking Program Wind Power Report Cool Roofs Workshop Research Highlights Sources and Credits In this issue, you can learn about EETD's work to analyze energy information systems (EIS) and improve their utilization in commercial buildings. We also look at ISO 50001, a new standard that helps industrial and commercial enterprises operate energy-efficiently,

247

Environmental Energy Technologies Division News  

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

8, No. 3 [http://eetd.lbl.gov/newsletter/nl30/] 8, No. 3 [http://eetd.lbl.gov/newsletter/nl30/] Environmental Energy Technologies Division News [http://eetd.lbl.gov/newsletter/] © 2010 Environmental Energy Technologies Division [http://eetd.lbl.gov/] E.O. Lawrence Berkeley National Laboratory [http://www.lbl.gov/] Disclaimer [http://www.lbl.gov/Disclaimers.html] WINTER NEWSLETTER: VOL. 8, NO. 3 Hidden Costs of Energy Production NRC Report The Rosenfeld Named After California's Godfather of Energy Solar Photovoltaic Report II Release Methane in Central California Wind Power Property Values Community Wind FABS21 Release Franchise Tax Board Data Center Project Sources and Credits This issue addresses everything from a National Academy of Sciences report on the hidden costs of energy production to tools for making semiconductor fabrication facilities and data centers more

248

Environmental Energy Technologies Division News  

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

Containing the Effects of Containing the Effects of Chemical and Biological Agents in Buildings Lawrence Berkeley National Laboratory Air Quality Advanced Technologies Building Technologies Energy Analysis Indoor Environment Vol. 3 No. 3 News 1 Containing the Effects of Chemical and Biological Agents in Buildings 3 Laser Ultrasonic Sensor Streamlines Papermaking Process 5 Building a Smarter Light: The IBECS Network/Ballast Interface 6 IPMVP-from a DOE-Funded Iniative to a Not-for-Profit Organization 8 Skylight Well Reduces Solar Heat Gain 9 Research Highlights The mission of the Environmental Energy Technologies Division is to perform research and development leading to better energy technologies and the reduction of adverse energy- related environmental impacts. Environmental Energy Technologies Division

249

Environmental Energy Technologies Division News  

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

Consumers Kept Consumers Kept the Lights On Lawrence Berkeley National Laboratory Atmospheric Sciences Advanced Technologies Building Technologies Energy Analysis Indoor Environment Vol. 3 No. 4 News 1 California Consumers Kept the Lights On 3 A Quick and Easy Web-Based Assess- ment Tool for Day/Electric Lighting 5 Berkeley Lab Model Tracks Indoor Anthrax Dispersal 7 Rating "Green" Laboratories-Labs21 Environmental Performance Criteria 9 Research Highlights The mission of the Environmental Energy Technologies Division is to perform research and development leading to better energy technologies and the reduction of adverse energy- related environmental impacts. Environmental Energy Technologies Division continued on page 2 In this Issue C alifornia consumers-not mild weather or the cooling economy-should get credit

250

Environmental Energy Technologies Division News  

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

9, No. 4 [http://eetd.lbl.gov/newsletter/nl35/] 9, No. 4 [http://eetd.lbl.gov/newsletter/nl35/] Environmental Energy Technologies Division News [http://eetd.lbl.gov/newsletter/] © 2011 Environmental Energy Technologies Division [http://eetd.lbl.gov/] E.O. Lawrence Berkeley National Laboratory [http://www.lbl.gov/] Disclaimer [http://www.lbl.gov/Disclaimers.html] SPRING 2011: VOL. 9, NO. 4 Fuel Cell Research Programmable Thermostats A Bright Spot for Solar Saving Electricity in a Hurry Nanostructured Antifogging Coatings Fluorescent Lighting Research Highlights Sources and Credits This month, EETD News highlights some of its research activities in fuel cells; an energy efficiency expert describes how Japan can save energy in a hurry to help offset supply losses from Fukushima; and a lighting expert discusses why fluorescent

251

Environmental Energy Technologies Division News  

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

8, No. 2 [http://eetd.lbl.gov/newsletter/nl29/] 8, No. 2 [http://eetd.lbl.gov/newsletter/nl29/] Environmental Energy Technologies Division News [http://eetd.lbl.gov/newsletter/] © 2009 Environmental Energy Technologies Division [http://eetd.lbl.gov/] E.O. Lawrence Berkeley National Laboratory [http://www.lbl.gov/] Disclaimer [http://www.lbl.gov/Disclaimers.html] FALL NEWSLETTER: VOL. 8, NO. 2 Closing in on Zero-Energy Buildings Heinz Award Honors Berkeley Lab's Ashok Gadgil Green Chemistry: Lasers Detect Explosives and Hazardous Waste Photocatalytic Oxidation (PCO) Air Cleaners: Reducing Energy Use While Clearing the Air Energy Reduction for Energy Research New Study Sheds Light on the Growing U.S. Wind Power Market Recovery Act Funding Enables Berkeley Lab to Help Federal Agencies Improve Energy Efficiency Research

252

Environmental Energy Technologies Division News  

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

2, No. 1 [http://eetd.lbl.gov/newsletter/nl44/] 2, No. 1 [http://eetd.lbl.gov/newsletter/nl44/] Environmental Energy Technologies Division News [http://eetd.lbl.gov/newsletter/] ©2013 Environmental Energy Technologies Division [http://eetd.lbl.gov/] E.O. Lawrence Berkeley National Laboratory [http://www.lbl.gov/] Disclaimer [http://www.lbl.gov/Disclaimers.html] SUMMER 2013: VOL. 12, NO. 1 Buildings Performance Database EnergyIQ Wind Technologies Report Lighting Testbeds Q&A with Ed Vine SEAD Report - India Efficient A/C Li/S Cathode Technology Conductive Binder for Li-ion Batteries Research Highlights Sources and Credits We cover a lot of ground in the issue of EETD News you're now reading. Investing in energy performance upgrades for your commercial building? Read about the Building Performance Database. Wondering about the state of wind power in the U.S.? We've got you covered with the

253

Environmental Energy Technologies Division News  

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

11, No. 3 [http://eetd.lbl.gov/newsletter/nl42/] 11, No. 3 [http://eetd.lbl.gov/newsletter/nl42/] Environmental Energy Technologies Division News [http://eetd.lbl.gov/newsletter/] ©2013 Environmental Energy Technologies Division [http://eetd.lbl.gov/] E.O. Lawrence Berkeley National Laboratory [http://www.lbl.gov/] Disclaimer [http://www.lbl.gov/Disclaimers.html] WINTER 2013: VOL. 11, NO. 3 The New York Times Building Building Control Virtual Test Bed Simergy Climate Change and the Insurance Industry Energy Storage Research Hub ARPA-E Funds Berkeley Lab Projects Utility Energy-Efficiency Programs California's Energy Future FLEXLAB Testbeds Construction FLEXLAB Partners Research Highlights Sources and Credits Better tools to simulate building energy use, new funding for advanced research in batteries and energy-efficient

254

Application of a Combination Forecasting Model in Logistics Parks' Demand  

Science Journals Connector (OSTI)

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

Chen Qin; Qi Ming

2010-05-01T23:59:59.000Z

255

A BAYESIAN MODEL COMMITTEE APPROACH TO FORECASTING GLOBAL SOLAR RADIATION  

E-Print Network [OSTI]

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

Boyer, Edmond

256

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

257

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

258

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

259

CALIFORNIA ENERGY DEMAND 2008-2018 STAFF REVISED FORECAST  

E-Print Network [OSTI]

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

260

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.

Note: This page contains sample records for the topic "forecasting division mark" 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

Environmental Energy Technologies Division News  

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

fi lter could also help fi lter could also help California comply with tighter U.S. EPA arsenic drinking-water standard. A shok G ad g i l, a s c ient i st i n t he Environmental Energy Technologies Division at Lawrence Berkeley National Laboratory (Berkeley Lab), is developing a cheap and effective way to provide safe drinking water to 60 million Bangladeshis who live with the threat of arsenic poisoning.

262

Wind and Load Forecast Error Model for Multiple Geographically Distributed Forecasts  

SciTech Connect (OSTI)

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

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

2010-11-02T23:59:59.000Z

263

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

E-Print Network [OSTI]

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

Lang, K.

1982-01-01T23:59:59.000Z

264

Forecasting the Locational Dynamics of Transnational Terrorism  

E-Print Network [OSTI]

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

Massachusetts at Amherst, University of

265

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

266

Sunny outlook for space weather forecasters  

Science Journals Connector (OSTI)

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

Eric Hand

2012-04-27T23:59:59.000Z

267

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

268

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.

269

Customized forecasting tool improves reserves estimation  

SciTech Connect (OSTI)

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

Mian, M.A.

1986-04-01T23:59:59.000Z

270

Storm-in-a-Box Forecasting  

Science Journals Connector (OSTI)

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

Richard A. Kerr

2004-05-14T23:59:59.000Z

271

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

272

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

273

Credit Documentation and the Mark 15 Subroutine  

SciTech Connect (OSTI)

This report documents the rewrite of the heat transfer subroutine. Part of the process of preparing the Mark 15 assembly for production operation is the development of thermal-hydraulic limits for the assembly. These limits require, among other items, the development of a Mark 15 assembly subroutine for the CREDIT code.

McAllister, J.E.

2001-08-16T23:59:59.000Z

274

Tensor Products of Operator Systems Mark Tomforde  

E-Print Network [OSTI]

Tensor Products of Operator Systems Mark Tomforde (Joint work with Ali Kavruk, Vern Paulsen Tomforde (Univeristy of Houston) Tensor Products of Operator Systems October 19, 2009 1 / 37 #12;Operator Spaces and Operator Systems An operator space is a subspace of B(H). Mark Tomforde (Univeristy of Houston

Kerr, David

275

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

276

UNCERTAINTY IN THE GLOBAL FORECAST SYSTEM  

SciTech Connect (OSTI)

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

Werth, D.; Garrett, A.

2009-04-15T23:59:59.000Z

277

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

278

FY 1996 solid waste integrated life-cycle forecast container summary volume 1 and 2  

SciTech Connect (OSTI)

For the past six years, a waste volume forecast has been collected annually from onsite and offsite generators that currently ship or are planning to ship solid waste to the Westinghouse Hanford Company`s Central Waste Complex (CWC). This document provides a description of the containers expected to be used for these waste shipments from 1996 through the remaining life cycle of the Hanford Site. In previous years, forecast data have been reported for a 30-year time period; however, the life-cycle approach was adopted this year to maintain consistency with FY 1996 Multi-Year Program Plans. This document is a companion report to the more detailed report on waste volumes: WHC-EP0900, FY 1996 Solid Waste Integrated Life-Cycle Forecast Volume Summary. Both of these documents are based on data gathered during the FY 1995 data call and verified as of January, 1996. These documents are intended to be used in conjunction with other solid waste planning documents as references for short and long-term planning of the WHC Solid Waste Disposal Division`s treatment, storage, and disposal activities over the next several decades. This document focuses on the types of containers that will be used for packaging low-level mixed waste (LLMW) and transuranic waste (both non-mixed and mixed) (TRU(M)). The major waste generators for each waste category and container type are also discussed. Containers used for low-level waste (LLW) are described in Appendix A, since LLW requires minimal treatment and storage prior to onsite disposal in the LLW burial grounds. The FY 1996 forecast data indicate that about 100,900 cubic meters of LLMW and TRU(M) waste are expected to be received at the CWC over the remaining life cycle of the site. Based on ranges provided by the waste generators, this baseline volume could fluctuate between a minimum of about 59,720 cubic meters and a maximum of about 152,170 cubic meters.

Valero, O.J.

1996-04-23T23:59:59.000Z

279

ANL Wind Power Forecasting and Electricity Markets | Open Energy  

Open Energy Info (EERE)

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

280

Environmental Energy Technologies Division News  

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

2000: 2000: Vol. 2, No. 2 EETD Study Explores Electricity Use of Office and Network Equipment EETD Researchers Form Network to Study Energy Use, Environmental Impacts of Information Technology In Memoriam-Joan Daisey The Fine XAD Sorbent Coating-2000 R&D 100 Award Winner Polymers Take Charge Hotel Survey Illuminates Energy Savings Research Highlights Sources and Credits PDF of EETD News EETD Study Explores Electricity Use of Office and Network Equipment How much electricity is used to power information technology in the U.S.? EETD's End-Use Energy Forecasting Group, led by Jonathan Koomey, has released a new study estimating office and network equipment energy use as of the end of 1999. The last major study examining energy consumption by this group of products was also conducted by this group and was published

Note: This page contains sample records for the topic "forecasting division mark" 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

Amur Energy Division | Open Energy Information  

Open Energy Info (EERE)

Amur Energy Division Amur Energy Division Jump to: navigation, search Name Amur Energy Division Place 46001 Valencia, Spain Sector Solar Product Engineering and construction group specialising in large solar power plants. References AMUR[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! TODO: Determine if this company is valid. This article is a stub. You can help OpenEI by expanding it. Amur Energy Division is a company located in Spain. Related Links http://findarticles.com/p/articles/mi_m5CNK/is_2007_Jan_4/ai_n24998390/ http://www.businesswirenet.org/pr/index.php/id/jesus-linares-gil-chairman-and-ceo-of-ae http://solarstocks.blogspot.com/2007_01_01_archive.html References ↑ "Amur Energy Division" Retrieved from "http://en.openei.org/w/index.php?title=Amur_Energy_Division&oldid=391205"

282

Short-Term World Oil Price Forecast  

Gasoline and Diesel Fuel Update (EIA)

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

283

OpenEI Community - energy data + forecasting  

Open Energy Info (EERE)

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

284

Voluntary Green Power Market Forecast through 2015  

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

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

285

EIA - Forecasts and Analysis of Energy Data  

Gasoline and Diesel Fuel Update (EIA)

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

286

FORSITE: a geothermal site development forecasting system  

SciTech Connect (OSTI)

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

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

1981-10-01T23:59:59.000Z

287

Chemical Sciences Division | Advanced Materials |ORNL  

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

Chemical Sciences Chemical Sciences Division SHARE Chemical Sciences Division The Chemical Sciences Division performs discovery and uses inspired research to understand, predict, and control the physical processes and chemical transformations at multiple length and time scales, especially at interfaces. The foundation of the division is a strong Basic Energy Sciences (BES) portfolio that pushes the frontiers of catalysis, geosciences, separations and analysis, chemical imaging, neutron science, polymer science, and interfacial science. Theory is closely integrated with materials synthesis and characterization to gain new insights into chemical transformations and processes with the ultimate goal of predictive insights. Applied research programs naturally grow out of our fundamental

288

Administration and Organization Division of Graduate Affairs  

E-Print Network [OSTI]

. . . . . . . . . . . . Geoffrey W. Chase Imperial Valley Campus . . . . . . . . . . . . . . . . . . . . . . David E. Pearson the Imperial Valley Campus; Dean of the Graduate Division or designee, who will chair the committee; Provost

Gallo, Linda C.

289

EARTH SCIENCES DIVISION ANNUAL REPORT 1978  

E-Print Network [OSTI]

of Energy's Division of Geothermal Energy has undertaken aand Ghormley, E. L. , 1976. Geothermal energy conversion andsuch diverse areas as geothermal energy, oil recovery, in-

Authors, Various

2012-01-01T23:59:59.000Z

290

EARTH SCIENCES DIVISION. ANNUAL REPORT 1977.  

E-Print Network [OSTI]

8erkeley Laboratory (LBL), the Earth Sciences Division, wasactivation analysis: rare earth element distribution (D)can be used to generate earth- quake records for use in

Witherspoon, P.A.

2011-01-01T23:59:59.000Z

291

Supervisory General Engineer (Facility Engineering Division Director)  

Broader source: Energy.gov [DOE]

A successful candidate in this position will lead the Facility Engineering Division by providing internal and independent safety system oversight of Waste Isolation Pilot Plant (WIPP) operations in...

292

Geothermal: Sponsored by OSTI -- Nuclear Technology Division...  

Office of Scientific and Technical Information (OSTI)

Nuclear Technology Division annual progress report for period ending June 30, 1973 Geothermal Technologies Legacy Collection HelpFAQ | Site Map | Contact Us | Admin Log On Home...

293

Colorado Air Pollution Control Division - Construction Permits...  

Open Energy Info (EERE)

Jump to: navigation, search OpenEI Reference LibraryAdd to library Web Site: Colorado Air Pollution Control Division - Construction Permits Forms and Air Pollutant Emission...

294

Procurement Division Introduction | Princeton Plasma Physics...  

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

Technology Transfer Furth Plasma Physics Library Procurement Division Introduction The Princeton Plasma Physics Laboratory (PPPL) is operated by Princeton University under...

295

X-Ray Science Division (XSD)  

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

X-Ray Science Division (XSD) Search Button About Welcome Overview Visiting the APS Mission & Goals Find People Organization Charts Committees Job Openings User Information...

296

Enforcement Letter, Westinghouse Waste Isolation Division - October...  

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

Division related to four noncompliances with the requirements of the Quality Assurance Rule andor the Occupational Radiation Protection Rule at DOE's Waste Isolation...

297

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

298

Exponential smoothing model selection for forecasting  

Science Journals Connector (OSTI)

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

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

2006-01-01T23:59:59.000Z

299

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

300

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

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

Today's Forecast: Improved Wind Predictions Today's Forecast: Improved Wind Predictions Today's Forecast: Improved Wind Predictions July 20, 2011 - 6:30pm Addthis Stan Calvert Wind Systems Integration Team Lead, Wind & Water Power Program What does this project do? It will increase the accuracy of weather forecast models for predicting substantial changes in winds at heights important for wind energy up to six hours in advance, allowing grid operators to predict expected wind power production. Accurate weather forecasts are critical for making energy sources -- including wind and solar -- dependable and predictable. These forecasts also play an important role in reducing the cost of renewable energy by allowing electricity grid operators to make timely decisions on what reserve generation they need to operate their systems.

Note: This page contains sample records for the topic "forecasting division mark" 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

Annual Energy Outlook with Projections to 2025-Forecast Comparisons  

Gasoline and Diesel Fuel Update (EIA)

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

302

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

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

Today's Forecast: Improved Wind Predictions Today's Forecast: Improved Wind Predictions Today's Forecast: Improved Wind Predictions July 20, 2011 - 6:30pm Addthis Stan Calvert Wind Systems Integration Team Lead, Wind & Water Power Program What does this project do? It will increase the accuracy of weather forecast models for predicting substantial changes in winds at heights important for wind energy up to six hours in advance, allowing grid operators to predict expected wind power production. Accurate weather forecasts are critical for making energy sources -- including wind and solar -- dependable and predictable. These forecasts also play an important role in reducing the cost of renewable energy by allowing electricity grid operators to make timely decisions on what reserve generation they need to operate their systems.

303

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

304

Environmental Energy Technologies Division News  

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

4: 4: Vol. 5, No. 4 Cool Colors Project: Improved Materials for Cooler Roofs BVAMP: Simplifying Assessment of Building Vulnerability NARAC Expands its Reach: Minimize Chemical-Biological Weapons Casualties How to Buy Green Power New Federal Efficiency Standards for Residential Furnaces and Boilers: EETD Researchers Estimate Potential Impacts Research Highlights Sources and Credits PDF of EETD News Cool Colors Project: Improved Materials for Cooler Roofs Drawing of a house with a cool roof Roofs and the rainbow of colors used in roofing materials are getting cooler and cooler, thanks to research by scientists in the Lawrence Berkeley National Laboratory (Berkeley Lab) Environmental Energy Technologies Division (EETD). The cooler roofs get, the more energy and money they save. A new research program in cool materials is developing the

305

Environmental Energy Technologies Division News  

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

0: 0: Vol. 9, No. 2 Driving Demand Bennett-Nordman IEEE Standard Nicotine and Ozone SVOW Renewables Portfolio Standard Report Kerosene Lamp Particulate Study Research Highlights Sources and Credits PDF of EETD News Homeowner Motivations for Energy Efficiency Improvements Driving Demand report cover Hundreds of millions of dollars in public money are supporting home energy efficiency improvements. Researchers at the Lawrence Berkeley National Laboratory's (Berkeley Lab) Environmental Energy Technologies Division (EETD) are helping to ensure that these funds have their maximum impact with a new report that examines what motivates homeowners to seek out home energy improvements. "Convincing millions of Americans to divert their time and resources into upgrading their homes to eliminate energy waste, avoid high utility bills,

306

Environmental Energy Technologies Division News  

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

rogress in understanding contaminant concentrations observed in remote locations requires the development of a computer simulation model that can link these con- centrations with long-range transport potential at a continental scale. Researchers at Trent University's Canadian Environmen- tal Modeling Center and Berkeley Lab's Environmental Energy Technologies Division are now developing such a model, the Berkeley-Trent North American contaminant fate model (BETR North America). BETR is a regionally segmented multi-compartment, continen- tal-scale, mass balance chemical fate model. The model's frame- work links contaminant fate models of individual regions that encompass a larger, spatially heterogeneous area. It models North America's environment as a group of 24 ecological regions with

307

Awards: Nuclear Engineering Division (Argonne)  

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

Awards Awards Director's Welcome Organization Achievements Awards Patents Professional Societies Highlights Fact Sheets, Brochures & Other Documents Multimedia Library About Nuclear Energy Nuclear Reactors Designed by Argonne Argonne's Nuclear Science and Technology Legacy Opportunities within NE Division Visit Argonne Work with Argonne Contact us For Employees Site Map Help Join us on Facebook Follow us on Twitter NE on Flickr Celebrating the 70th Anniversary of Chicago Pile 1 (CP-1) Argonne OutLoud on Nuclear Energy Argonne Energy Showcase 2012 Awards Bookmark and Share Printable Awards List (252 KB) NE employees received several honors and awards for their contributions to scientific research. Below is a list of awards from 1980 until today. The list is also available in PDF format.

308

Environmental Energy Technologies Division News  

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

Research Highlights Research Highlights Research Highlights Berkeley Lab Researchers Share in 2013 Supercomputing Award International Supercomputing Conference In June, at the International Scientific Computing Conference in Leipzig, Germany, the German Gauss Center for Supercomputing bestowed its 2013 Gauss Award to a paper titled "TUE, A New Energy-Efficiency Metric Applied at ORNL's Jaguar." Authors of the paper included Environmental Energy Technologies Division researchers William Tschudi and Henry Coles, along with other Members of the Energy Efficient High Performance Computing Working Group (EE HPC WG): Michael K. Patterson (Intel), Stephen W. Poole, Chung-Hsing Hsu, and Don Maxwell (Oak Ridge National Laboratory), David J. Martinez (Sandia National Laboratories), and Natalie Bates (EE HPC WG). The

309

Ramesh Gupta | Superconducting Magnet Division  

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

Ramesh Gupta Ramesh Gupta Ramesh Gupta has always been a leader in the world of superconducting magnets, which are essential to great modern accelerators such as the Relativistic Heavy Ion Collider at BNL, and the Large Hadron Collider at CERN, Switzerland. For the past decade, Lab researchers have been exploring the use of new materials that become superconducting at higher temperatures. Gupta, head of the High Temperature Superconductor (HTS) Research and Development Group in the Superconducting Magnet Division, is among those exploring avenues for HTS magnets that are energy efficient and have magnetic fields that are a million times stronger than the Earth's. These new magnets could revolutionize use in future accelerators, play a key role in energy efficiency and storage, and make possible new

310

Argonne Physics Division - Theory Group  

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

Special Day & Time: Special Day & Time: 10:30am Tues. 19 March 2013 Alessandro Lovato Argonne Leadership Computing Facility and Physics Division lovato@anl.gov Weak Response of Cold Symmetric Nuclear Matter at Three-Body Cluster Level 24 January 2013 Elmar Biernat Universidade Técnica de Lisboa, Portugal elmar.biernat@ist.utl.pt Meson properties from two different covariant approaches Special Day: Tues. 22 January 2013 Guillaume Hupin Lawrence Livermore National Lab hupin1@llnl.gov Continuum effects in nuclear structure and reactions Special Day & Time: 10:30am, Tues. 15 January 2013 Kyle Wendt Ohio State University wendt.31@osu.edu Non-Locality in the Similarity Renormalization Group Special Time: 10:30am 10 January 2013 Vojtech Krejcirik University of Maryland vkrejcir@umd.edu

311

RHIC Project | Superconducting Magnet Division  

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

RHIC Project RHIC Project The Superconducting Magnet Division supplied 1740 magnetic elements, in 888 cryostats, for the RHIC facility at BNL. Of these, 780 magnetic elements were manufactured by Northrop-Grumman (Bethpage, NY) and 360 were made by Everson Electric (Bethlehem, PA). The magnets made in industry used designs developed at BNL. The first cooldown of the magnets for the RHIC engineering run was in 1999. Since then, the magnets have operated very reliably. arc dipole coil and yoke Arc dipole coil and yoke, with magnetic flux lines The magnets provide modest field (3.45 Teslas in the arc dipoles) in a cost-effective design. Key features in the principal bending and focusing magnets include the use of NbTi Rutherford cable, a single-layer coil, and cold iron as both yoke and collar. The magnets operate in forced-flow

312

Environmental Energy Technologies Division News  

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

new three-year public-private research initiative, which new three-year public-private research initiative, which will target substantial reductions in the $100 billion spent annually in energy costs for commercial buildings, has been launched under the leadership of Environmental Energy Technologies Division scientists. More than $13 million in research funding has been pledged by the California Energy Com- mission (CEC), the DOE, private sector partners, and Pacific Gas & Electric. EETD has assembled a team of 14 public and private sector partners to carry out the varied tasks within the High-Per- formance Commercial Buildings Systems Program. The program will develop new information technologies to design, commission, and operate buildings, and integrated design techniques to generate substantial and sustained energy savings

313

Environmental Energy Technologies Division News  

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

2001: 2001: Vol. 2, No. 4 The California Energy Crisis: A Brief Summary of Events The California Energy Crisis: Long-and Short-Term Solutions High-Performance Commercial Building Systems Supporting the Cool Roofs Standard Meteorology, Energy, and Air Quality High-Performance Fume Hood Reduces Energy Use 50% The New Berkeley Lamp Lights the Way to Energy Savings Two Web Sites Help Californians Save Energy Research Highlights Sources and Credits PDF of EETD News The California Energy Crisis: A Brief Summary of Events Editor's Note: This special issue of EETD News examines the California energy crisis of 2001, and research and development underway at the Environmental Energy Technologies Division of Lawrence Berkeley National Laboratory focused on helping to solve the crisis, both in the short and

314

Environmental Energy Technologies Division News  

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

ecent concern about the risks to human ecent concern about the risks to human health from airborne particulates such as those in diesel exhaust has motivated a group at the Environmental Energy Technologies Division to investigate the use of scattered polar- ized light. The goals are to characterize these particles and develop an instrument to measure these characteristics in real time. Having such an instrument can help regulatory authorities devel- op standards and monitor air quality. Airborne particulates, especially those less than 2.5 micrometers (µm) in diameter, are known to be a major human health risk. Diesel exhaust particles are principally in this size range; they are also a major source of reduced visibility in populated areas. California recently declared particulates in diesel exhaust a haz-

315

Environmental Energy Technologies Division News  

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

A Q&A with Cindy Regnier, Manager of the Facility for Low-Energy A Q&A with Cindy Regnier, Manager of the Facility for Low-Energy eXperiments in Buildings (FLEXLAB) The Facility for Low-Energy eXperiments in Buildings (FLEXLAB) is designed to be a national focal point for developing, simulating, and testing energy-efficient technologies and strategies for buildings. FLEXLAB users will conduct research and develop technologies at FLEXLAB on single components as well as whole-building integrated design and operation. This research is aimed at substantially lowering the energy use, and improving the comfort and performance, of both new and existing buildings. FLEXLAB is a facility of Lawrence Berkeley National Laboratory's Environmental Energy Technologies Division (EETD). Artist's conception of a portion of the FLEXLAB facility

316

Environmental Energy Technologies Division News  

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

5: 5: Vol. 6, No. 2 Electricity Prices and the Tariff Analysis Project (TAP) Reducing Developing World's Polluting Fuel-Based Lighting United Nations World Environment Day June 1-5, 2005 First Energy-Efficient, LED-Based Task Lamp Brought to Market BEST Winery Tool Helps Reduce Energy and Water Costs Energy-saving Paper Sensor Passes Major Milestone Technology Transfer Research Highlights Sources and Credits PDF of EETD News TAP logo Electricity Prices and the Tariff Analysis Project (TAP) Much of the work done in the Environmental Energy Technologies Division (EETD) at Lawrence Berkeley National Laboratory (Berkeley Lab) involves analyzing the costs and benefits of energy-saving technologies and energy-efficiency measures. For the consumer, who pays to implement these

317

Environmental Energy Technologies Division News  

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

Data Center Energy Efficiency Project Wins Best of California Award Data Center Energy Efficiency Project Wins Best of California Award A project to improve the energy efficiency of the State of California Franchise Tax Board's data center has won a "Best of California" Award from the Center for Digital Government. Geoffrey Bell, Energy Engineer at Lawrence Berkeley National Laboratory's Environmental Energy Technologies Division, led the project team. Two men standing in a data center. The research was funded by the California Energy Commission's Public Interest Energy Research (PIER) program, and other participants included Federspiel Controls, Inc., Emerson Network Power, and California's Department of General Services. The Franchise Tax Board (FTB) is the California agency responsible for collecting state taxes. Its 10,000-square-foot data center in Sacramento

318

Environmental Energy Technologies Division News  

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

Study Finds No Evidence of Residential Property Value Impacts Study Finds No Evidence of Residential Property Value Impacts Near U.S. Wind Turbines Lawrence Berkeley National Laboratory (Berkeley Lab) analyzed more than 50,000 home sales near 67 wind facilities in 27 counties across nine U.S. states, yet was unable to uncover any impacts to nearby home property values. "This is the second of two major studies we have conducted on this topic [the first was published in 2009-see below], and in both studies [using two different datasets] we find no statistical evidence that operating wind turbines have had any measureable impact on home sales prices," says Ben Hoen, the lead author of the new report. Hoen is a researcher in the Environmental Energy Technologies Division of Berkeley Lab. The new study used a number of sophisticated techniques to control for

319

Environmental Energy Technologies Division News  

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

2: 2: Vol. 3, No. 4 California Consumers Kept the Lights On Quick and Easy Web-Based Assessment Tool for Day/Electric Lighting Berkeley Lab Model Tracks Indoor Anthrax Dispersal Rating "Green" Laboratories-Labs21 Environmental Performance Criteria Research Highlights Sources and Credits PDF of EETD News California Consumers Kept the Lights On California consumers-not mild weather or the cooling economy-should get credit for avoiding blackouts and keeping the lights on in summer 2001 by embracing energy efficiency and conservation and reducing their peak demand by 3,000 to 5,500 megawatts (MW), according to research by scientists at the Environmental Energy Technologies Division. This is the conclusion reached in a new analysis of the consumer response

320

Laboratory I | Nuclear Physics Division  

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

CERN 73-11 CERN 73-11 Laboratory I | Nuclear Physics Division a 24 September 1973 ORGANISATION EUROPEENNE POUR LA RECHERCHE NUCLEAIRE C E R N EUROPEAN ORGANIZATION FOR NUCLEAR RESEARCH HIGH-ACCURACY MEASUREMENTS OF THE CENTRE OF GRAVITY OF AVALANCHES IN PROPORTIONAL CHAMBERS G. Charpak, A. Jeavons, F. Sauli and R. Stubbs G E N E V A 1973 © Copyright CERN, Geneve, 1973 Propriety litteraire et scientiflque reservee pour tous les pays du monde Ce document ne peut etre reproduit ou traduit en tout ou en partie sans Tautonsation 6cnte du Directeur g6n6ral du CERN, titulaire du droit d'auteur. Dans les cas appropnes, et s'll s'agit d'utiliser le document a des fins non commerciales, cette autonsation sera volontiers accorded. Le CERN ne revendique pas la propnete des

Note: This page contains sample records for the topic "forecasting division mark" 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

Environmental Energy Technologies Division News  

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

1 Energy-Efficient Direct- Current Powering Technology 3 Laser Ultrasonic Sensor Wins R&D 100 5 Silver Anomalies in Jerusalem Pottery 7 GSA's Cool Coup at the Philadelphia Custom House 9 Tech Transfer Column 11 Research Highlights 12 Darfur Stoves Effort in PrRgress In this Issue In this Issue Researchers in the Lawrence Berkeley National Laboratory (Berkeley Lab) Environmental Energy Technologies Division (EETD) have teamed with Silicon Valley giants, including Sun Microsystems, Intel, and Cisco, to demonstrate technologies that could save billions of dollars a year in data center energy costs as well as improve data center reliability and lengthen equipment life. The demonstration took place this summer at a test facility at Sun Microsystems

322

School of Social Sciences Division of Psychology  

E-Print Network [OSTI]

School of Social Sciences Division of Psychology Spring / Summer 2010 Welcome to the Psychological the Psychological Well-being and Mental Health (PWMH) Research Group; a collection of researchers working in the Division of Psychology at Nottingham Trent University. The newsletter will come out twice a year, in spring

Evans, Paul

323

Materials Sciences Division 1990 annual report  

SciTech Connect (OSTI)

This report is the Materials Sciences Division`s annual report. It contains abstracts describing materials research at the National Center for Electron Microscopy, and for research groups in metallurgy, solid-state physics, materials chemistry, electrochemical energy storage, electronic materials, surface science and catalysis, ceramic science, high tc superconductivity, polymers, composites, and high performance metals.

Not Available

1990-12-31T23:59:59.000Z

324

Hui-Hai Liu Earth Sciences Division  

E-Print Network [OSTI]

1 Hui-Hai Liu Earth Sciences Division Ernest Orlando Lawrence Berkeley National Laboratory (LBNL, Department of Hydrogeology, Earth Sciences Division, Ernest Orlando Lawrence Berkeley National Laboratory Scientist (2004-present), Ernest Orlando Lawrence Berkeley National Laboratory. #12;2 1995-1997, Research

Ajo-Franklin, Jonathan

325

Fixed Income Division Nomura International plc  

E-Print Network [OSTI]

Fixed Income Division © Nomura International plc Symmetry methods for quadratic Gaussian models International plc Outline Motivation The quadratic Gaussian distribution The quadratic Gaussian process The quadratic Gaussian model #12;Fixed Income Division 3© Nomura International plc Part 1 Motivation #12;Fixed

Macrina, Andrea

326

Computer Security Division 2009 Annual Report  

E-Print Network [OSTI]

Security 12 Smart Grid Cyber Security 13 Supply Chain Risk Management 13 Cryptographic Validation Programs Computing Project 36 Policy Machine 36 Security for Grid and Pervasive Systems 38 Security OntologiesComputer Security Division 2009 Annual Report #12;Table of Contents Welcome 1 Division

327

Table of Contents Division Organization 2  

E-Print Network [OSTI]

National Initiative for Cybersecurity Education (NICE) 12 Smart Grid Cyber Security 13 Supply Chain Risk Security and Forensics 33 NIST Cloud Computing Project 34 Policy Machine 35 Security for Grid#12;2002 Table of Contents Welcome 1 Division Organization 2 The Computer Security Division

328

West Virginia University Division of Human Resources  

E-Print Network [OSTI]

on the WVU Division of Human Resources Web page hr.wvu.edu. In the event of a conflict between the current posted version and this printed copy, the posted version on the Web page is controlling. Page 1 of 2 of this administrative procedure has been posted on the WVU Division of Human Resources Web page hr.wvu.edu. In the event

Mohaghegh, Shahab

329

West Virginia University Division of Human Resources  

E-Print Network [OSTI]

Division of Human Resources Web page hr.wvu.edu. In the event of a conflict between the current posted version and this printed copy, the posted version on the Web page is controlling. Page 1 of 2 Access been posted on the WVU Division of Human Resources Web page hr.wvu.edu. In the event of a conflict

Mohaghegh, Shahab

330

West Virginia University Division of Human Resources  

E-Print Network [OSTI]

Division of Human Resources Web page hr.wvu.edu. In the event of a conflict between the current posted version and this printed copy, the posted version on the Web page is controlling. Page 1 of 2 Employment been posted on the WVU Division of Human Resources Web page hr.wvu.edu. In the event of a conflict

Mohaghegh, Shahab

331

West Virginia University Division of Human Resources  

E-Print Network [OSTI]

on the WVU Division of Human Resources Web page hr.wvu.edu. In the event of a conflict between the current posted version and this printed copy, the posted version on the Web page is controlling. Page 1 of 2 been posted on the WVU Division of Human Resources Web page hr.wvu.edu. In the event of a conflict

Mohaghegh, Shahab

332

West Virginia University Division of Human Resources  

E-Print Network [OSTI]

on the WVU Division of Human Resources Web page hr.wvu.edu. In the event of a conflict between the current posted version and this printed copy, the posted version on the Web page is controlling. Page 1 of 3 Division of Human Resources Web page hr.wvu.edu. In the event of a conflict between the current posted

Mohaghegh, Shahab

333

Nuclear Engineering Division Irradiated Materials Laboratory  

E-Print Network [OSTI]

Nuclear Engineering Division Irradiated Materials Laboratory The Irradiated Materials Laboratory (IML) in Argonne's Nuclear Engineering Division is used to conduct research on the behavior. #12;C O N TA C T > Dr. Michael C. Billone | 630-252-7146 | billone@anl.gov | Nuclear Engineering

Kemner, Ken

334

The Division of Biology & Biomedical Sciences  

E-Print Network [OSTI]

The Division of Biology & Biomedical Sciences what will you discover? #12;what will you discover and Biomedical Sciences Washington University in St. Louis dbbs.wustl.edu On the cover: Moshi Song (left of other disciplines. The Division of Biology and Biomedical Sciences is ideally positioned to foster

Stormo, Gary

335

Electric Grid - Forecasting system licensed | ornl.gov  

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

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

336

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

337

Forecasting supply/demand and price of ethylene feedstocks  

SciTech Connect (OSTI)

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

Struth, B.W.

1984-08-01T23:59:59.000Z

338

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

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

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

339

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

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

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

340

Integrating agricultural pest biocontrol into forecasts of energy biomass production  

E-Print Network [OSTI]

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

Gratton, Claudio

Note: This page contains sample records for the topic "forecasting division mark" 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

Quantum Condensed Matter Division Stephen Nagler- Division Director  

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

Structure of Matter Structure of Matter Chakoumakos, Bryan Group Leader Calder, Stuart HB2A Cao, Huibo HB3A dela Cruz, Clarina HB2A dos Santos, Antonio BL3 (SNAP) Glavic, Artur BL4A Lauter, Valeria BL4A Ye, Feng BL9 Banerjee, Arnab Postdoctoral Fellow Herath, Nuradhika Postdoctoral Fellow Kim, Ki-Yeon 4 Visiting Scientist, KAERI Matrix 1 Johns Hopkins Joint Faculty 2 UTK Joint Faculty 3 UTK Graduate Student 4 Visiting Scientist Triple-Axis Spectroscopy Fernandez-Baca, Jaime Group Leader Aczel, Adam HB1A/ CG4C Chi, Songxue HB1/HB3 Christianson, Andrew HB3 Hong, Tao CG4C Matsuda, Masaaki HB1 Tian, Wei HB1A Kobayashi, Riki Postdoctoral Fellow Ma, Jie Postdoctoral Fellow Taylor, Alice Postdoctoral Fellow Poudel, Lekhanath 3 Graduate Student Time-of-Flight Spectroscopy Lumsden, Mark Group Leader Abernathy, Douglas BL18

342

Chemical and Laser Sciences Division annual report 1989  

SciTech Connect (OSTI)

The Chemical and Laser Sciences Division Annual Report includes articles describing representative research and development activities within the Division, as well as major programs to which the Division makes significant contributions.

Haines, N. (ed.)

1990-06-01T23:59:59.000Z

343

Marking Requirements | Scientific and Technical Information Program  

Office of Scientific and Technical Information (OSTI)

Submittal Basics Submittal Basics Marking Requirements Print page Print page Email page Email page Categories of Controlled Unclassified STI DOE and Major Site/Facility Management Contractors Sample Cover and Title Page for Unclassified Unlimited STI Sample Cover and Title Page for Controlled Unclassified STI Financial Assistance Recipients and Non-major Contractors Sample Cover and Title Page for Unclassified Unlimited STI Sample Cover and Title Page for Controlled Unclassified STI Resources for classified and controlled unclassified marking requirements: DOE CMPC Marking Resource DOE O 475.2A, Identifying Classified Information 10 CFR 1017, Identification and Protection of Unclassified Controlled Nuclear Information DOE M 471.3-1, Manual for Identifying and Protecting Official Use

344

Hilton Alexandria Mark Center Shuttle Schedule  

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

Hilton Alexandria Mark Center Shuttle Schedule Hilton Alexandria Mark Center Shuttle Schedule 5000 Seminary Road, Alexandria, VA 22311 703-845-1010 The Hilton Alexandria Mark Center offers complimentary shuttle service every half hour at :00 and :30, 7 days a week. Our first departure from the hotel is 6:00 AM and our last departure from the hotel is 10:30 pm, to Pentagon City Mall/Metro (on the blue and yellow line) and Ronald Reagan Washington National Airport The van arrives at Pentagon City at approximately 10 and 40 minutes after the hour. Our last pick up is at approximately 10:40pm. Upon exiting the metro, exit left, and take the escalator outside. We pick up at the island in front of the Ritz Carlton and Fashion Center Mall. The next stop is Ronald Reagan Washington National Airport The van arrives at the airport at approximately 20 and 50 minutes after the

345

Mark Caffarey, UMICORE, "Opportunities and Limits to Recycling...  

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

Mark Caffarey, UMICORE, "Opportunities and Limits to Recycling of Critical Materials for Clean Energies Mark Caffarey, UMICORE, "Opportunities and Limits to Recycling of Critical...

346

Forecasting for inventory control with exponential smoothing  

Science Journals Connector (OSTI)

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

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

2002-01-01T23:59:59.000Z

347

Probabilistic Verification of Global and Mesoscale Ensemble Forecasts of Tropical Cyclogenesis  

Science Journals Connector (OSTI)

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

Sharanya J. Majumdar; Ryan D. Torn

2014-10-01T23:59:59.000Z

348

Traces of mercury surprise water officials By Mark Noack [ mark@hmbreview.com  

E-Print Network [OSTI]

Print Page Traces of mercury surprise water officials By Mark Noack [ mark of high mercury levels in fish found in Crystal Springs Reservoir -- an important water source, the test suggested the Crystal Springs fish population had one of the highest mercury levels in the state

349

Earth Sciences Division Research Summaries 2006-2007  

E-Print Network [OSTI]

the commencement of the Earth Sciences Division 30 yearstelling. Happy Anniversary! Earth Sciences Division ears YTritium in Engineered and Earth Materials Stefan Finsterle,

DePaolo, Donald

2008-01-01T23:59:59.000Z

350

Alaska Division of Water Permit Fees | Open Energy Information  

Open Energy Info (EERE)

Web Site: Alaska Division of Water Permit Fees Author Alaska Division of Water Published Publisher Not Provided, Date Not Provided DOI Not Provided Check for DOI availability:...

351

Environmental Energy Technologies Division News  

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

2: 2: Vol. 10, No. 3 Middle-Income Energy Savings LIGTT Greenhouse Gas Standards Port of Oakland Study Ashok Gadgil Wins Zayed Award Max Tech Research Highlights Sources and Credits PDF of EETD News Helping Middle-Income Families Find Energy Savings A recent study by researchers at Lawrence Berkeley National Laboratory (Berkeley Lab) identifies steps that energy-efficiency program managers can take to deliver significant savings on home energy bills to middle-income households. Looking across a green field at a row of medium sized homes. "Middle income households have been hit hard by the recent recession, and sagging home prices have undermined the traditional reliance of middle-income households on home equity for financing home improvements," says Berkeley Lab's Mark Zimring, a researcher in the Environmental Energy

352

Environmental Energy Technologies Division News  

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

U.S. Installed Price of Solar Photovoltaic Systems Continues Rapid Decline U.S. Installed Price of Solar Photovoltaic Systems Continues Rapid Decline U.S. Installed Price of Solar Photovoltaic Systems Continues Rapid Decline The installed price of solar photovoltaic (PV) power systems in the United States fell substantially in 2012 and through the first half of 2013, according to the latest edition of Tracking the Sun, an annual PV cost-tracking report produced by Lawrence Berkeley National Laboratory (Berkeley Lab). Cover of the Tracking the Sun VI report Tracking the Sun VI report Tracking the Sun VI report Installed prices for PV systems in 2012 fell by a range of roughly $0.30/watt (W) to $0.90/W, or 6 to 14 percent, from the prior year, depending on the size of the system. "This marks the third year in a row of significant price reductions for PV systems in the U.S.," explains Galen

353

How is a document containing UCNI marked? | Department of Energy  

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

How is a document containing UCNI marked? How is a document containing UCNI marked? How is a document containing UCNI marked? Front page marking: If a document contains UCNI (and no classified or OUO information), the front page must have the front marking. (§ 1017.16 (a)(1)). Page marking: The marking "Unclassified Controlled Nuclear Information" must be placed on the bottom of the front of the document and on the bottom of each interior page of the document that contains text or if more convenient, on the bottom of only those interior pages that contain UCNI. The page marking must also be placed on the back of the last page. If space limitations do not allow for use of the full page marking, the acronym ''UCNI'' may be used as the page marking. (§ 1017.16 (a)(2)). Transmittals: A document that transmits documents or material marked as

354

Land Division: Uniform Environmental Covenants Program (Alabama) |  

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

Land Division: Uniform Environmental Covenants Program (Alabama) Land Division: Uniform Environmental Covenants Program (Alabama) Land Division: Uniform Environmental Covenants Program (Alabama) < Back Eligibility Agricultural Commercial Construction Fed. Government Industrial Local Government Savings Category Alternative Fuel Vehicles Hydrogen & Fuel Cells Buying & Making Electricity Water Home Weatherization Solar Wind Program Info State Alabama Program Type Environmental Regulations These regulations apply to environmental covenants arising from environmental response projects conducted under any of the following Alabama Department of Environmental Management programs: Scrap tire remediation sites, Soil and groundwater remediation sites, Leaking storage tank remediation sites, Solid waste disposal sites, Hazardous waste

355

Chemical Sciences Division annual report 1994  

SciTech Connect (OSTI)

The division is one of ten LBL research divisions. It is composed of individual research groups organized into 5 scientific areas: chemical physics, inorganic/organometallic chemistry, actinide chemistry, atomic physics, and chemical engineering. Studies include structure and reactivity of critical reaction intermediates, transients and dynamics of elementary chemical reactions, and heterogeneous and homogeneous catalysis. Work for others included studies of superconducting properties of high-{Tc} oxides. In FY 1994, the division neared completion of two end-stations and a beamline for the Advanced Light Source, which will be used for combustion and other studies. This document presents summaries of the studies.

NONE

1995-06-01T23:59:59.000Z

356

Biology and Medicine Division: Annual report 1986  

SciTech Connect (OSTI)

The Biology and Medicine Division continues to make important contributions in scientific areas in which it has a long-established leadership role. For 50 years the Division has pioneered in the application of radioisotopes and charged particles to biology and medicine. There is a growing emphasis on cellular and molecular applications in the work of all the Division's research groups. The powerful tools of genetic engineering, the use of recombinant products, the analytical application of DNA probes, and the use of restriction fragment length polymorphic DNA are described and proposed for increasing use in the future.

Not Available

1987-04-01T23:59:59.000Z

357

3 445b 0377240 2 Mark Elless  

E-Print Network [OSTI]

_ ........ ~ .. . . . . . . . . . . . . . . . . . . . . . . . . . . . . -~ .. ~~ _ ......... --- #12;Solubility Measurement of Uranium in Uranium-Contaminated Soils S . Y.Lee, Mark Elless. Characterization section of the uranium contaminated soil in this report was supportedby the Uranium Soil-term equilibration study involvingtwo uranium-contaminated soils at the Department of Energy's Fernald Environmental

Hoffman, Forrest M.

358

Mark Walker Director of Public Affairs  

E-Print Network [OSTI]

the Bonneville Power Administration, which has not raised its conservation budget. If others can increaseMark Walker Director of Public Affairs Northwest Power and Conservation Council Dear Mr. Walker, According to your recent study, "A Retrospective Look at the Northwest Power and Conservation Council

359

MACDONALD POLYNOMIALS AND GEOMETRY MARK HAIMAN  

E-Print Network [OSTI]

MACDONALD POLYNOMIALS AND GEOMETRY MARK HAIMAN Contents 1. Introduction 2. Symmetric functions and Macdonald polynomials 3. The n! conjecture 4. The Hilbert scheme and Xn 5. Frobenius series 6. The ideals J by Macdonald [26], and the geometry of certain algebraic varieties, notably the Hilbert scheme Hilbn (C2

Haiman, Mark D.

360

MACDONALD POLYNOMIALS AND GEOMETRY MARK HAIMAN  

E-Print Network [OSTI]

MACDONALD POLYNOMIALS AND GEOMETRY MARK HAIMAN Contents 1. Introduction 2. Symmetric functions and Macdonald polynomials 3. The n! conjecture 4. The Hilbert scheme and X n 5. Frobenius series 6. The ideals J by Macdonald [26], and the geometry of certain algebraic varieties, notably the Hilbert scheme Hilb n (C 2

Haiman, Mark D.

Note: This page contains sample records for the topic "forecasting division mark" 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

, Mark Johnson1 , Wu Meng Tan1  

E-Print Network [OSTI]

Paul Pace1 , Mark Johnson1 , Wu Meng Tan1 , Georgina Mosedale1 , Chelvin Sng1 , Maureen Hoatlin2@mrc-lmb.cam.ac.uk P.Pace and M.Johnson contributed equally to this work The Fanconi anaemia (FA) nuclear complex (com

Patel, KJ

362

School Of Architecture Mark Robbins, Dean  

E-Print Network [OSTI]

School Of Architecture Mark Robbins, Dean 201 Slocum Hall soa.syr.edu About The College Dean's Message Architecture is a complex discipline that organizes diverse human needs and interests, ranging from the pragmatic to the visionary. Syracuse Architecture offers a professional education rooted

McConnell, Terry

363

Random switching exponential smoothing and inventory forecasting  

Science Journals Connector (OSTI)

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

Giacomo Sbrana; Andrea Silvestrini

2014-01-01T23:59:59.000Z

364

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

365

Expert Panel: Forecast Future Demand for Medical Isotopes  

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

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

366

A robust automatic phase-adjustment method for financial forecasting  

Science Journals Connector (OSTI)

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

Ricardo de A. Arajo

2012-03-01T23:59:59.000Z

367

Short term forecasting of solar radiation based on satellite data  

E-Print Network [OSTI]

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

Heinemann, Detlev

368

Developing electricity forecast web tool for Kosovo market  

Science Journals Connector (OSTI)

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

Blerim Rexha; Arben Ahmeti; Lule Ahmedi; Vjollca Komoni

2011-02-01T23:59:59.000Z

369

FORECASTING WATER DEMAND USING CLUSTER AND REGRESSION ANALYSIS  

E-Print Network [OSTI]

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

Keller, Arturo A.

370

Impact of PV forecasts uncertainty in batteries management in microgrids  

E-Print Network [OSTI]

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

Paris-Sud XI, Université de

371

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

372

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

373

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

374

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

375

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

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

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

376

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

377

Quantum Condensed Matter Division Stephen Nagler- Division Director  

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

05/03/2013 05/03/2013 Structure of Matter Chakoumakos, Bryan Group Leader Calder, Stuart HB2A Cao, Huibo HB3A de la Cruz, Clarina HB2A dos Santos, António BL3 (SNAP) Glavic, Artur BL4A Lauter, Valeria BL4A Ye, Feng BL9 Banerjee, Arnab Postdoctoral Fellow Matrix 1 Johns Hopkins Joint Faculty 2 Part-time Sample Environment 3 UTK Joint Faculty 4 UTK Graduate Student Triple-Axis Spectroscopy Fernandez-Baca, Jaime Group Leader Aczel, Adam HB1A/ CG4C Chi, Songxue HB1/HB3 Christianson, Andrew HB3 Hong, Tao CG4C Matsuda, Masaaki HB1 Tian, Wei HB1A Zarestky, Jerel (AMES) HB1A Ma, Jie Postdoctoral Fellow Poudel, Lekhanath 4 Graduate Student Time-of-Flight Spectroscopy Lumsden, Mark Group Leader Abernathy, Douglas BL18 Diallo, Souleymane BL2 (BASIS) Ehlers, Georg BL5 Garlea, Ovidiu BL14B Granroth, Garrett BL17 Lauter, Hans-Jochen

378

Nevada Division of Minerals | Open Energy Information  

Open Energy Info (EERE)

Nevada Division of Minerals Nevada Division of Minerals Jump to: navigation, search Logo: Nevada Division of Minerals Name Nevada Division of Minerals Address 400 W. King St. #106 Place Carson City, Nevada Zip 89703 Website http://minerals.state.nv.us/ Coordinates 39.16409°, -119.7699779° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":39.16409,"lon":-119.7699779,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

379

Electronic Technology Support of Programmatic Divisions  

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

Electronic Technology Support of Programmatic Divisions Electronic Technology Support of Programmatic Divisions Speaker(s): Brad Bingham Date: March 13, 2003 - 12:00pm Location: 90-3148 The Electronics Technology Group within the Engineering Division possesses a number capabilities and skilled staff that can provide support to projects within the programmatic Divisions. Different areas of expertise include electronic fabrication, prototyping, repair and maintenance of existing equipment and instrument calibration. Electronic fabrication capabilities are from the printed circuit board level to electronic packaging and equipment chassis builds to the large multi-rack control system level. The Electronics Technology Group also has a personnel matrix program to support projects with full time, part time or limited time

380

LANL | Earth and Environmental Sciences Division (EES)  

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

Groups in EES Division Groups in EES Division The EES Division of Los Alamos National Laboratory is organized into four groups and the Institute of Geophysics and Planetary Physics (IGPP). The Groups are organized by their capabilities and expertise. Scientific advice is provided by the Science and Engineering Leadership Team (SELT), helping the EES technical staff become more effective at obtaining research and development funds. In late 2008, the EES Division was reorganized. Links to our former groups are available still. EES Organizational Chart Lab Organizational Chart (Internal Only) Repository Science (EES-12) Yucca Mountain Project and the Waste Isolation Pilot Plant Earth Systems Observations (EES-14) GGRL, Radiogeoprocesses, and Terrestrial Processes Computational Earth Sciences (EES-16)

Note: This page contains sample records for the topic "forecasting division mark" 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

UGI Utilities Electric Division | Open Energy Information  

Open Energy Info (EERE)

Utilities Electric Division Utilities Electric Division Jump to: navigation, search Logo: UGI Utilities Electric Division Name UGI Utilities Electric Division Address 2525 North 12th Street, Suite 360 Place Reading, Pennsylvania Zip 19605 Sector Services Product Green Power Marketer Website http://www.ugi.com/electric/in Coordinates 40.3746587°, -75.9149578° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":40.3746587,"lon":-75.9149578,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

382

Materials Sciences Division Integrated Safety Management Plan  

E-Print Network [OSTI]

..........................................................................................................................................2! 1.1 SAFETY CULTURE .......................................................4! 3. SAFETY RESPONSIBILITY, AUTHORITY, ACCOUNTABILITY AND A JUST CULTURE.........5! 3Materials Sciences Division Integrated Safety Management Plan Revised: February 9, 2012 Prepared by

383

INDIVIDUAL DISCIPLINES: HUMAN RESOURCES DIVISION MARKETING  

E-Print Network [OSTI]

INDIVIDUAL DISCIPLINES: HUMAN RESOURCES DIVISION MARKETING AND RECRUITMENT CAMPAIGN STAFF .:|:. Client: Y. Mankin, Computing Sciences #12;DESIGN MAIN MENU 1 2 344 4 5WEBSITES Joint BioEnergy Institute

384

Physics Division: Los Alamos National Laboratory  

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

Jeanette Gray Division Office TA-53, Building 0001, Room A228 (505) 667-4117 Physics Links Jobs in Physics Human Resources Working at Los Alamos Los Alamos resources...

385

EARTH SCIENCES DIVISION ANNUAL REPORT 1978  

E-Print Network [OSTI]

of electrolytes: IX, rare earth chlorides, nitrates, andU E OF AQUIFER RESPONSE TO EARTH TIDES AS A MEANS O F SLawrence Berkeley Laboratory, Earth Sciences Division, 1977.

Authors, Various

2012-01-01T23:59:59.000Z

386

ENERGY & ENVIRONMENT DIVISION ANNUAL REPORT, 1977  

E-Print Network [OSTI]

for utilizing solar energy. One project, started this isprojects are funded by the DOE Division of Solar Energysolar energy retrofits of low-to-moderate cost homes, sixteen commercial solar demonstration projects,

Budnitz, R.J.

2011-01-01T23:59:59.000Z

387

Supervisory Physical Scientist (Safety Programs Division Director)  

Broader source: Energy.gov [DOE]

A successful candidate in this position will serve as the Director of the Safety Programs Division in the Office of Operations Oversight responsible for providing internal and independent oversight...

388

Energy Research and Development Division STAFF REPORT  

E-Print Network [OSTI]

Energy Research and Development Division STAFF REPORT NATURAL GAS RESEARCH AND DEVELOPMENT 2013 Annual Report CALIFORNIA ENERGY COMMISSION Edmund G. Brown Jr., Governor OCTOBER 2013 CEC5002013111 #12; CALIFORNIA ENERGY COMMISSION Linda Schrupp Primary Authors Prepared for: California

389

Robert C. Holub Undergraduate Division Dean  

E-Print Network [OSTI]

less than coherent, consisting of a handful of interdisciplinary undergraduate programs (the UGIS part is the location of these various programs. The UGIS majors are located within the division (except in one case

Mofrad, Mohammad R. K.

390

Director, Division of Economic and Technical Analysis  

Broader source: Energy.gov [DOE]

The Commission is seeking a highly qualified individual to provide leadership as the Director, Division of Economic and Technical Analysis within the Office of Energy Policy and Innovation. In this...

391

IBM research division cloud computing initiative  

Science Journals Connector (OSTI)

Cloud computing represents the latest phase in the evolution of Internet-based computing. In this paper, we describe the fundamental building blocks of cloud computing and the initiative undertaken by the IBM Research Division in this area, which includes ...

M. Naghshineh; R. Ratnaparkhi; D. Dillenberger; J. R. Doran; C. Dorai; L. Anderson; G. Pacifici; J. L. Snowdon; A. Azagury; M. VanderWiele; Y. Wolfsthal

2009-07-01T23:59:59.000Z

392

EARTH SCIENCES DIVISION ANNUAL REPORT 1978  

E-Print Network [OSTI]

of Energy's Division of Geothermal Energy has undertaken aand Ghormley, E. L. , 1976. Geothermal energy conversion andi a , Mexico, i n Geothermal energy: a n o v e l t y becomes

Authors, Various

2012-01-01T23:59:59.000Z

393

Chemical Sciences Division: Annual report 1992  

SciTech Connect (OSTI)

The Chemical Sciences Division (CSD) is one of twelve research Divisions of the Lawrence Berkeley Laboratory, a Department of Energy National Laboratory. The CSD is composed of individual groups and research programs that are organized into five scientific areas: Chemical Physics, Inorganic/Organometallic Chemistry, Actinide Chemistry, Atomic Physics, and Physical Chemistry. This report describes progress by the CSD for 1992. Also included are remarks by the Division Director, a description of work for others (United States Office of Naval Research), and appendices of the Division personnel and an index of investigators. Research reports are grouped as Fundamental Interactions (Photochemical and Radiation Sciences, Chemical Physics, Atomic Physics) or Processes and Techniques (Chemical Energy, Heavy-Element Chemistry, and Chemical Engineering Sciences).

Not Available

1993-10-01T23:59:59.000Z

394

Professional Societies: Nuclear Engineering Division (Argonne)  

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

About the Division > Professional About the Division > Professional Societies Director's Welcome Organization Achievements Awards Patents Professional Societies Highlights Fact Sheets, Brochures & Other Documents Multimedia Library About Nuclear Energy Nuclear Reactors Designed by Argonne Argonne's Nuclear Science and Technology Legacy Opportunities within NE Division Visit Argonne Work with Argonne Contact us For Employees Site Map Help Join us on Facebook Follow us on Twitter NE on Flickr Celebrating the 70th Anniversary of Chicago Pile 1 (CP-1) Argonne OutLoud on Nuclear Energy Argonne Energy Showcase 2012 Professional Societies Bookmark and Share Employees of the Nuclear Engineering Division are actively involved in many Professional Societies. Some of these are listed below. In addition, some NE employees have received the distinction of being named

395

Nuclear Science Division: 1993 Annual report  

SciTech Connect (OSTI)

This report describes the activities of the Nuclear Science Division for the 1993 calendar year. This was another significant year in the history of the Division with many interesting and important accomplishments. Activities for the following programs are covered here: (1) nuclear structure and reactions program; (2) the Institute for Nuclear and Particle Astrophysics; (3) relativistic nuclear collisions program; (4) nuclear theory program; (5) nuclear data evaluation program, isotope project; and (6) 88-inch cyclotron operations.

Myers, W.D. [ed.

1994-06-01T23:59:59.000Z

396

NO. REV. NO. Systems Division DATE  

E-Print Network [OSTI]

-~ NO. REV. NO. EATM-15 PAGE OF ~ Systems Division DATE EASEP /PSEP Solar Panel Development Design+"'--.:L'_;;;J....;::::::..··-=·~::!!:!!!e::...._ K. Hsi #12;NO. REV. NO. EATM-15 EASEP/PSEP Solar Panel Development ~ Systems Division Design of the EASE-PSEP Solar Panel Array~PA::G:,:E:..::=l=~o:F~=2=7= DATE 20 Nov. 1968 1. 0 SUMMARY Electrical power

Rathbun, Julie A.

397

History of the Division of Agrochemicals 1976?2001  

Science Journals Connector (OSTI)

History of the Division of Agrochemicals 1976?2001 ... The Division of Agrochemicals began in 1951 as the Pesticides Subdivision in the Division of Agricultural and Food Chemistry. ... In 1985 the name was officially changed to the Division of Agrochemicals to encompass new approaches to pest control including biotechnology in addition to behavior- and growth-modifying chemicals. ...

Nancy N. Ragsdale

2001-12-26T23:59:59.000Z

398

CFTF marks another milestone | ornl.gov  

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

Carbon Fiber Technology Facility marks another milestone Carbon Fiber Technology Facility marks another milestone January 15, 2013 Oxidized carbon fiber was produced during a hot test of the oven system. January 15, 2013. Credit: ORNL. January 15, 2013 was a big day for the Carbon Fiber Technology Facility. For the first time, technicians conducted a hot test of the oven system with a band of fibers moving through the ov-ens, thus producing a batch of "black" oxidized polyacrylonitrile fiber, or OPF. During this process, polymer fiber ma-terial makes multiple passes through each of four large (each approximately 30 feet long and 10 feet tall) ovens at temperatures between 200oC and 300oC. This turns the polyacrylonitrile fibers from white to black via chemical reactions that render the fibers flame resistant and

399

Identification marking by means of laser peening  

DOE Patents [OSTI]

The invention is a method and apparatus for marking components by inducing a shock wave on the surface that results in an indented (strained) layer and a residual compressive stress in the surface layer. One embodiment of the laser peenmarking system rapidly imprints, with single laser pulses, a complete identification code or three-dimensional pattern and leaves the surface in a state of deep residual compressive stress. A state of compressive stress in parts made of metal or other materials is highly desirable to make them resistant to fatigue failure and stress corrosion cracking. This process employs a laser peening system and beam spatial modulation hardware or imaging technology that can be setup to impress full three dimensional patterns into metal surfaces at the pulse rate of the laser, a rate that is at least an order of magnitude faster than competing marking technologies.

Hackel, Lloyd A. (Livermore, CA); Dane, C. Brent (Livermore, CA); Harris, Fritz (Rocklin, CA)

2002-01-01T23:59:59.000Z

400

EIA - Forecasts and Analysis of Energy Data  

Gasoline and Diesel Fuel Update (EIA)

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

Note: This page contains sample records for the topic "forecasting division mark" 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

EIA - Forecasts and Analysis of Energy Data  

Gasoline and Diesel Fuel Update (EIA)

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

402

EIA - Forecasts and Analysis of Energy Data  

Gasoline and Diesel Fuel Update (EIA)

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

403

Annual Energy Outlook 1998 Forecasts - Preface  

Gasoline and Diesel Fuel Update (EIA)

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

404

EIA - Forecasts and Analysis of Energy Data  

Gasoline and Diesel Fuel Update (EIA)

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

405

Volatility forecasting with smooth transition exponential smoothing  

Science Journals Connector (OSTI)

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

James W. Taylor

2004-01-01T23:59:59.000Z

406

Incorporating Forecast Uncertainty in Utility Control Center  

SciTech Connect (OSTI)

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

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

2014-07-09T23:59:59.000Z

407

Fast Facts Office of Public Affairs, 314-935-5230 Mark S. Wrighton, Ph.D.  

E-Print Network [OSTI]

Division III colleges · Labeled as a "powerhouse" in Division III by The New York Times · Founding member

408

Annual Energy Outlook Forecast Evaluation - Tables  

Gasoline and Diesel Fuel Update (EIA)

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

409

Coal production forecast and low carbon policies in China  

Science Journals Connector (OSTI)

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

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

2011-01-01T23:59:59.000Z

410

Energy Technology Division research summary - 1999.  

SciTech Connect (OSTI)

The Energy Technology Division provides materials and engineering technology support to a wide range of programs important to the US Department of Energy. As shown on the preceding page, the Division is organized into ten sections, five with concentrations in the materials area and five in engineering technology. Materials expertise includes fabrication, mechanical properties, corrosion, friction and lubrication, and irradiation effects. Our major engineering strengths are in heat and mass flow, sensors and instrumentation, nondestructive testing, transportation, and electromechanics and superconductivity applications. The Division Safety Coordinator, Environmental Compliance Officers, Quality Assurance Representative, Financial Administrator, and Communication Coordinator report directly to the Division Director. The Division Director is personally responsible for cultural diversity and is a member of the Laboratory-wide Cultural Diversity Advisory Committee. The Division's capabilities are generally applied to issues associated with energy production, transportation, utilization, or conservation, or with environmental issues linked to energy. As shown in the organization chart on the next page, the Division reports administratively to the Associate Laboratory Director (ALD) for Energy and Environmental Science and Technology (EEST) through the General Manager for Environmental and Industrial Technologies. While most of our programs are under the purview of the EEST ALD, we also have had programs funded under every one of the ALDs. Some of our research in superconductivity is funded through the Physical Research Program ALD. We also continue to work on a number of nuclear-energy-related programs under the ALD for Engineering Research. Detailed descriptions of our programs on a section-by-section basis are provided in the remainder of this book.

NONE

1999-03-31T23:59:59.000Z

411

Measuring the forecasting accuracy of models: evidence from industrialised countries  

Science Journals Connector (OSTI)

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

Athanasios Koulakiotis; Apostolos Dasilas

2009-01-01T23:59:59.000Z

412

How is a Document Containing OUO Marked? | Department of Energy  

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

How How is a Document Containing OUO Marked? How is a Document Containing OUO Marked? Front page marking: If a document contains OUO, the front page must have the front marking. (DOE M 471.3-1, Admin Chg 1, Chapter I, Paragraph 3a.) For instructions on filling out the front marking and an electronic sample you may copy to a document, see OUO Stamp with Directions. Page marking: The marking "OFFICIAL USE ONLY" must be placed on the bottom of the front of the document and on the bottom of each interior page of the document that contains text or if more convenient, on the bottom of only those interior pages that contain OUO. If space limitations do not allow for use of the full page marking, the acronym "OUO" may be used as the page marking. (DOE M 471.3-1, Admin Chg 1, Chapter I, Paragraph 3b.)

413

PART III DIVISION 15 PAGE 1 RUTGERS DESIGN STANDARDS MANUAL MAY 2007 DIVISION 15 MECHANICAL  

E-Print Network [OSTI]

) can be considered. 10. HVAC - Temperature Design Standards: a. The following inside design conditionsPART III DIVISION 15 PAGE 1 RUTGERS DESIGN STANDARDS MANUAL MAY 2007 DIVISION 15 ­ MECHANICAL be supplied to occupied spaces in accordance with the latest issue of ASHRAE Standard 62, Ventilation

414

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

E-Print Network [OSTI]

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

Marquez, Ricardo

2012-01-01T23:59:59.000Z

415

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

E-Print Network [OSTI]

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

Greenslade, Diana

416

Security Policy, CMPC Marking Resource | Department of Energy  

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

Policy, CMPC Marking Resource Policy, CMPC Marking Resource Security Policy, CMPC Marking Resource June 2012 Examples illustrate markings for matter that contains classified information. A strong and cohesive information security program is integral to national security. The U.S. Government requires certain information to be maintained in confidence to protect our citizens, democratic institutions, and activities within the international security community. Marking notifies holders of classified matter of the protection requirements for the information. Markings and designations serve two primary purposes: Alert holders to the presence of classified information. Warn holders of special access or safeguarding requirements. This resource was developed to assist Federal and contractor employees by

417

Evaluation of copper for divider subassembly in MCO Mark IA and Mark IV scrap fuel baskets  

SciTech Connect (OSTI)

The K Basin Spent Nuclear Fuel (SNF) Project Multi-Canister Overpack (MCO) subprojection eludes the design and fabrication of a canister that will be used to confine, contain, and maintain fuel in a critically safe array to enable its removal from the K Basins, vacuum drying, transport, staging, hot conditioning, and interim storage (Goldinann 1997). Each MCO consists of a shell, shield plug, fuel baskets (Mark IA or Mark IV), and other incidental equipment. The Mark IA intact and scrap fuel baskets are a safety class item for criticality control and components necessary for criticality control will be constructed from 304L stainless steel. It is proposed that a copper divider subassembly be used in both Mark IA and Mark IV scrap baskets to increase the safety basis margin during cold vacuum drying. The use of copper would increase the heat conducted away from hot areas in the baskets out to the wall of the MCO by both radiative and conductive heat transfer means. Thus copper subassembly will likely be a safety significant component of the scrap fuel baskets. This report examines the structural, cost and corrosion consequences associated with using a copper subassembly in the stainless steel MCO scrap fuel baskets.

Graves, C.E.

1997-09-29T23:59:59.000Z

418

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

Open Energy Info (EERE)

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

419

Forecasting Crude Oil Spot Price Using OECD Petroleum Inventory  

Gasoline and Diesel Fuel Update (EIA)

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

420

Adaptive sampling and forecasting with mobile sensor networks  

E-Print Network [OSTI]

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

Choi, Han-Lim

2009-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "forecasting division mark" 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

Pacific Adaptation Strategy Assistance Program Dynamical Seasonal Forecasting  

E-Print Network [OSTI]

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

Lim, Eun-pa

422

Forecasting Volatility in Stock Market Using GARCH Models  

E-Print Network [OSTI]

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

Yang, Xiaorong

2008-01-01T23:59:59.000Z

423

Exponential smoothing with covariates applied to electricity demand forecast  

Science Journals Connector (OSTI)

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

José D. Bermúdez

2013-01-01T23:59:59.000Z

424

Initial conditions estimation for improving forecast accuracy in exponential smoothing  

Science Journals Connector (OSTI)

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

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

2012-07-01T23:59:59.000Z

425

A Bayesian approach to forecast intermittent demand for seasonal products  

Science Journals Connector (OSTI)

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

Mohammad Anwar Rahman; Bhaba R. Sarker

2012-01-01T23:59:59.000Z

426

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

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

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

427

A Parameter for Forecasting Tornadoes Associated with Landfalling Tropical Cyclones  

Science Journals Connector (OSTI)

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

Matthew J. Onderlinde; Henry E. Fuelberg

2014-10-01T23:59:59.000Z

428

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

429

Recently released EIA report presents international forecasting data  

SciTech Connect (OSTI)

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

NONE

1995-05-01T23:59:59.000Z

430

FINAL DEMAND FORECAST FORMS AND INSTRUCTIONS FOR THE 2007  

E-Print Network [OSTI]

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

431

Information-Based Skill Scores for Probabilistic Forecasts  

Science Journals Connector (OSTI)

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

Bodo Ahrens; Andr Walser

2008-01-01T23:59:59.000Z

432

A methodology for forecasting carbon dioxide flooding performance  

E-Print Network [OSTI]

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

Marroquin Cabrera, Juan Carlos

2012-06-07T23:59:59.000Z

433

Evolutionary Optimization of an Ice Accretion Forecasting System  

Science Journals Connector (OSTI)

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

Pawel Pytlak; Petr Musilek; Edward Lozowski; Dan Arnold

2010-07-01T23:59:59.000Z

434

Diagnosing the Origin of Extended-Range Forecast Errors  

Science Journals Connector (OSTI)

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

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

2010-06-01T23:59:59.000Z

435

Application of an Improved SVM Algorithm for Wind Speed Forecasting  

Science Journals Connector (OSTI)

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

Huaqiang Zhang; Xinsheng Wang; Yinxiao Wu

2011-01-01T23:59:59.000Z

436

Research on Development Trends of Power Load Forecasting Methods  

Science Journals Connector (OSTI)

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

Litong Dong; Jun Xu; Haibo Liu; Ying Guo

2014-01-01T23:59:59.000Z

437

Representing Forecast Error in a Convection-Permitting Ensemble System  

Science Journals Connector (OSTI)

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

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

2014-12-01T23:59:59.000Z

438

Weather Research and Forecasting Model 2.2 Documentation  

E-Print Network [OSTI]

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

Sadjadi, S. Masoud

439

Network Bandwidth Utilization Forecast Model on High Bandwidth Network  

SciTech Connect (OSTI)

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

Yoo, Wucherl; Sim, Alex

2014-07-07T23:59:59.000Z

440

Wind Speed Forecasting Using a Hybrid Neural-Evolutive Approach  

Science Journals Connector (OSTI)

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

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

2009-11-01T23:59:59.000Z

Note: This page contains sample records for the topic "forecasting division mark" 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

Superconducting Magnet Division | Brookhaven National Laboratory  

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

Superconducting Magnet Division Superconducting Magnet Division Home Production & Testing LHC Dipole Acceptance APUL Schedule (pdf) Projects Main Projects HTS Magnet Program High Field Magnet R&D Linear Collider Final Focus e Lens Solenoid Correctors for J-PARC Correctors for SuperKEKB IR Magnets LARP APUL Past Projects BEPC-II IR Quadrupoles Bio-Med Variable Field MRI GSI Rapid Cycling Magnets Helical Magnets HERA upgrade LHC IR Dipoles RHIC Publications Search Publications Selected Cryogenic Data Notebook Proceedings of the 1968 Summer Study on Superconducting Devices and Accelerators Meetings & Workshops Safety Environmental, Safety & Health ES&H Documents Lockout-Tagout Personnel Staff Pages Ramesh Gupta Brett Parker Peter Wanderer Pe ter Wanderer, head of Brookhaven's Superconducting Magnet Division,

442

Oregon Public Health Division | Open Energy Information  

Open Energy Info (EERE)

Health Division Health Division Jump to: navigation, search Name Oregon Public Health Division Address 800 NE Oregon Street, Suite 930 Place Portland, Oregon Zip 97232 Phone number 971-673-1222 Website http://public.health.oregon.go Coordinates 45.5285473°, -122.6576258° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":45.5285473,"lon":-122.6576258,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

443

Reading Comprehension - Cell Division through Mitosis  

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

Cell Division through Mitosis Cell Division through Mitosis Mitosis is the process by which a cell _________ duplicates kills separates increases the chromosomes in its cell nucleus, in order to generate two, identical, daughter nuclei. It is generally followed immediately by cytokinesis, which divides the nuclei, cytoplasm, organelles and cell membrane into two _________ mother daughter father sister cells containing roughly equal shares of these cellular components. Mitosis and cytokinesis together define the mitotic (M) phase of the cell cycle, the division of the mother cell into two daughter cells, each with the genetic equivalent of the parent cell. The process of mitosis is _________ simple never-ending final complex and highly regulated. The sequence of events is divided into phases,

444

A model for short term electric load forecasting  

E-Print Network [OSTI]

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

Tigue, John Robert

1975-01-01T23:59:59.000Z

445

Radiation fog forecasting using a 1-dimensional model  

E-Print Network [OSTI]

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

Peyraud, Lionel

2012-06-07T23:59:59.000Z

446

X-ray Science Division: Groups  

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

Division: Groups Division: Groups Atomic, Molecular and Optical Physics (AMO) Primary Contact: Stephen Southworth Work focuses on understanding how strong optical and x-ray fields interact with matter, with an emphasis on photonic control of electronic, atomic and molecular motion. Chemical and Materials Science (CMS) Primary Contact: Randy Winans Research Disciplines: Chemistry, Materials Science Detectors (DET) Primary Contact: Antonino Miceli GMCA Structural Biology Facility (MX) Primary Contact: Robert Fischetti Research Disciplines: Biology, Life Sciences Imaging (IMG) Primary Contact: Francesco DeCarlo Research Disciplines: Materials Science, Biology, Physics, Life Sciences Inelastic X-ray & Nuclear Resonant Scattering (IXN) Primary Contact: Thomas Gog Research Disciplines: Condensed Matter Physics, Geophysics, Materials

447

Annual Energy Outlook with Projections to 2025 - Forecast Comparisons  

Gasoline and Diesel Fuel Update (EIA)

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

448

Weather-based forecasts of California crop yields  

SciTech Connect (OSTI)

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

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

2005-09-26T23:59:59.000Z

449

Wave height forecasting in Dayyer, the Persian Gulf  

Science Journals Connector (OSTI)

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

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

2011-01-01T23:59:59.000Z

450

Transition Period High Water Marks - May 2009.indd  

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

Period High Water Marks (THWMs) and Above-Rate-Period High Water Mark (Above-RHWM) load data for the transition period for all customers with a CHWM contract. The transition...

451

Heavy Metals in Glass Beads Used in Pavement Markings  

E-Print Network [OSTI]

Pavement markings are vital for safely navigating roadways. The nighttime visibility of pavement markings is enhanced by addition of retroreflective glass beads, most of which are made from recycled glass. Concern has been raised over the presence...

Mangalgiri, Kiranmayi

2012-07-16T23:59:59.000Z

452

Synergies in learning words and their referents Mark Johnson  

E-Print Network [OSTI]

Synergies in learning words and their referents Mark Johnson Department of Computing Macquarie University Sydney, NSW 2109 Mark.Johnson@mq.edu.au Katherine Demuth Department of Linguistics Macquarie

Edinburgh, University of

453

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

E-Print Network [OSTI]

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

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

454

LBNL-6484E Exploring California PV Home Premiums Ben Hoen, Geoffrey T. Klise, Joshua Graff-Zivin, Mark  

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

484E 484E Exploring California PV Home Premiums Ben Hoen, Geoffrey T. Klise, Joshua Graff-Zivin, Mark Thayer, Joachim Seel and Ryan Wiser Environmental Energy Technologies Division December 2013 Download from: http://emp.lbl.gov/publications/exploring-california-pv-home-premiums This research builds on work published in 2011 entitled "An Analysis of the Effects of Residential Photovoltaic Energy Systems on Home Sales Prices in California," LBNL- 4476E, which can be downloaded here: http://eetd.lbl.gov/ea/emp/reports/lbnl-

455

Division Personnel - Argonne National Laboratories, Materials Sicence  

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

nxrs Sun, 12 Jan 2014 01:06:54 nxrs Sun, 12 Jan 2014 01:06:54 +0000 Joomla! 1.6 - Open Source Content Management en-gb Bogdan Dabrowski http://www.msd.anl.gov/dabrowski http://www.msd.anl.gov/dabrowski lbersano@anl.gov (Lacey Bersano) Tue, 05 Apr 2011 19:32:54 +0000 Fanny M. Simoes http://www.msd.anl.gov/division-personnel/personnel/personnel-nxrs/fanny-m-simoes http://www.msd.anl.gov/division-personnel/personnel/personnel-nxrs/fanny-m-simoes mleece@anl.gov (Matt Leece) Mon, 27 Jun 2011 19:54:06 +0000 Gian P. Felcher http://www.msd.anl.gov/felcher http://www.msd.anl.gov/felcher lbersano@anl.gov (Lacey Bersano) Tue, 05 Apr 2011 19:31:01 +0000 Jared Allred http://www.msd.anl.gov/division-personnel/personnel/personnel-nxrs/jared-allred http://www.msd.anl.gov/division-personnel/personnel/personnel-nxrs/jared-allred

456

Educational Psychology Division of Theoretical and  

E-Print Network [OSTI]

1 Educational Psychology Division of Theoretical and Behavioral Foundations College of Education in Educational Psychology School Psychology Concentration The mission of the School Psychology concentration in the Educational Psychology Ph.D. program at Wayne State University is to prepare professionals to effectively work

Berdichevsky, Victor

457

Materials Sciences Division 1990 annual report  

SciTech Connect (OSTI)

This report is the Materials Sciences Division's annual report. It contains abstracts describing materials research at the National Center for Electron Microscopy, and for research groups in metallurgy, solid-state physics, materials chemistry, electrochemical energy storage, electronic materials, surface science and catalysis, ceramic science, high tc superconductivity, polymers, composites, and high performance metals.

Not Available

1990-01-01T23:59:59.000Z

458

SHORT-TUBE SUBCRITICAL FLOW Enerag Division  

E-Print Network [OSTI]

#12;SHORT-TUBE SUBCRITICAL FLOW Y. C. Mei Enerag Division Oak Ridge National Laboratory Oak Ridge-tube subcritical flow. For short tubes used as refrigerant expansion devices, the orifice model is found inadequate-TUBE SUBCRITICAL FLOW INTRODUCTION Much theoretical and experimental work regarding short tube fluid flow has

Oak Ridge National Laboratory

459

Division of Human Resources University Grievance Procedures  

E-Print Network [OSTI]

Division of Human Resources University Grievance Procedures Employee Relations/ USF System Grievance Procedure Questions: (813) 974-2970 Rev. 12/2012 This procedure applies to Administration, Staff in this procedure are expressed in calendar days. If a deadline falls on a Saturday, Sunday or holiday, an action

Meyers, Steven D.

460

Division of Student Affairs Strategic Plan  

E-Print Network [OSTI]

and the Academic Master Plan Appendix B Division Comprehensive Program Review Timeline 20 #12;3 Section I Overview every 5-7 years. The review includes a time of preparation, a self-study, a peer review, action planning program review. #12;4 Section II Strategic Plan: Mission, Vision, Core Values, Goals A. Mission

Note: This page contains sample records for the topic "forecasting division mark" 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

Division of Human Resources Nonresident Alien Federal  

E-Print Network [OSTI]

Division of Human Resources Nonresident Alien Federal Withholding Requirements Questions (813) 974 classified as nonresident aliens for tax purposes with regard to their federal withholding taxes.gov. In brief, the Form W-4 requirements for individuals who are nonresident aliens (NRA) for tax purposes

Meyers, Steven D.

462

ENVIRONMENT, SAFETY & HEALTH DIVISION Chapter 24: Training  

E-Print Network [OSTI]

ENVIRONMENT, SAFETY & HEALTH DIVISION Chapter 24: Training Quick Start Summary Product ID: 520-group.slac.stanford.edu/esh/eshmanual/references/trainingQuickstart.pdf 1 Who needs to know about these requirements The requirements of Training apply to all persons on-site, employees and non-employees, their SLAC

Wechsler, Risa H.

463

Political Science Division Hatfield School of Government  

E-Print Network [OSTI]

Political Science Division Hatfield School of Government Minor in Law & Legal Studies Program, emphasizing the political, social, cultural, and philosophical foundations and impacts of law and legal campus who are interested in the relationship of law to politics, society, and culture. While the core

Bertini, Robert L.

464

Physics Division activities report, 1986--1987  

SciTech Connect (OSTI)

This report summarizes the research activities of the Physics Division for the years 1986 and 1987. Areas of research discussed in this paper are: research on e/sup +/e/sup /minus// interactions; research on p/bar p/ interactions; experiment at TRIUMF; double beta decay; high energy astrophysics; interdisciplinary research; and advanced technology development and the SSC.

Not Available

1987-01-01T23:59:59.000Z

465

PHYSICS DIVISION ESH BULLETIN 2005-06  

E-Print Network [OSTI]

conducted by the operations staff. Maintenance is work done by the crafts. Work done by Users is considered, and Guests were allowed to conduct hands-on experimental work under the direct supervision of a trained: Work in the Physics Division is broadly categorized as operations, maintenance, and experimental work

466

UNIVERSITY OF SASKATCHEWAN FACILITIES MANAGEMENT DIVISION  

E-Print Network [OSTI]

UNIVERSITY OF SASKATCHEWAN FACILITIES MANAGEMENT DIVISION POLICY Policy Number: 310.1 Approvals at the University of Saskatchewan. In addition, it will provide other administrative and academic units at the University of Saskatchewan with a model for sustainability in their respective workplaces. Policy Statement

Peak, Derek

467

Building an R package Division of Biostatistics  

E-Print Network [OSTI]

Building an R package Yen-Yi Ho Division of Biostatistics School of Public Health, University of Minnesota Yen-Yi Ho Building an R package #12;Steps Prepare your functions, example data sets Build package in man subdirectory) Write a package vignette Build and install the R package (R CMD build) Check the R

Carlin, Bradley P.

468

Division of Human Resources Important Documents, Terms  

E-Print Network [OSTI]

Division of Human Resources Important Documents, Terms and Procedures Questions (813) 974 of eligibility, financial information, etc. It is not the visa document. I-20 ­ The Certificate of Eligibility is intended to keep track of arrivals & departures to and from the United States. Duration of Status (D

Meyers, Steven D.

469

Division of Business and Engineering Creation Process  

E-Print Network [OSTI]

Division of Business and Engineering Creation Process December 7, 2009 Updated March, 2010 research results to external impact through commercialization, and promoting a culture of innovation within governed accreditation processes and external curricular and strategic advisory boards. We believe that our

Escher, Christine

470

Dr. Ron Ross Computer Security Division,  

E-Print Network [OSTI]

SPEAKERS Dr. Ron Ross Computer Security Division, Information Technology Laboratory, National Professor & Chair, Computer Science Department, North Carolina, A&T State University Dr. Vipin Swarup Chief for Information Assurance, University of Memphis 8:10 ­ 8:40 Ron Ross "Managing Information Security Risk" 8

Dasgupta, Dipankar

471

West Virginia University Division of Human Resources  

E-Print Network [OSTI]

Resources Web page hr.wvu.edu. In the event of a conflict between the current posted version and this printed copy, the posted version on the Web page is controlling. Page 1 of 9 Family Medical Leave Act Division of Human Resources Web page hr.wvu.edu. In the event of a conflict between the current posted

Mohaghegh, Shahab

472

LHC Division EUROPEAN ORGANIZATION FOR NUCLEAR RESEARCH  

E-Print Network [OSTI]

LHC Division EUROPEAN ORGANIZATION FOR NUCLEAR RESEARCH European Laboratory for Particle Physics Status of the Large Hadron Collider and Magnet Program N. Siegel for the LHC Magnet Team The Large Hadron Collider (LHC), approved by the CERN Council in December 1994, is a 7 +7 TeV proton accelerator

Laughlin, Robert B.

473

A brief history of the y-12 Develpment Division, part 2 - Develpment...  

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

Division, part 2 - Development Division worked "in the trenches" with workers Our focus continues on the history of the Development Division, one of the oldest organizations at...

474

Energy Technology Division research summary 1997.  

SciTech Connect (OSTI)

The Energy Technology Division provides materials and engineering technology support to a wide range of programs important to the US Department of Energy. As shown on the preceding page, the Division is organized into ten sections, five with concentrations in the materials area and five in engineering technology. Materials expertise includes fabrication, mechanical properties, corrosion, friction and lubrication, and irradiation effects. Our major engineering strengths are in heat and mass flow, sensors and instrumentation, nondestructive testing, transportation, and electromechanics and superconductivity applications. The Division Safety Coordinator, Environmental Compliance Officers, Quality Assurance Representative, Financial Administrator, and Communication Coordinator report directly to the Division Director. The Division Director is personally responsible for cultural diversity and is a member of the Laboratory-wide Cultural Diversity Advisory Committee. The Division's capabilities are generally applied to issues associated with energy production, transportation, utilization or conservation, or with environmental issues linked to energy. As shown in the organization chart on the next page, the Division reports administratively to the Associate Laboratory Director (ALD) for Energy and Environmental Science and Technology (EEST) through the General Manager for Environmental and Industrial Technologies. While most of our programs are under the purview of the EEST ALD, we also have had programs funded under every one of the ALDs. Some of our research in superconductivity is funded through the Physical Research Program ALD. We also continue to work on a number of nuclear-energy-related programs under the ALD for Engineering Research. Detailed descriptions of our programs on a section-by-section basis are provided in the remainder of this book. This Overview highlights some major trends. Research related to the operational safety of commercial light water nuclear reactors (LWRS) is funded by the US Nuclear Regulatory Commission (NRC). In addition to our ongoing work on environmentally assisted cracking and steam generator integrity, a major new multiyear program has been initiated to assess the performance of high-burnup fuel during loss-of-coolant accidents. The bulk of the NRC research work is carried out in four ET sections: Corrosion: Mechanics of Materials; Irradiation Performance: and Sensors, Instrumentation, and Nondestructive Evaluation. The Transportation of Hazardous Materials Section is the other main contributor; staff from that Section have worked closely with NRC staff to draft a new version of the NRC Standard Review Plan that will be used to provide guidance to NRC reviewers of applications for the renewal of nuclear plant licenses.

NONE

1997-10-21T23:59:59.000Z

475

Mr. Mark Jackson Aluminum Company of America  

Office of Legacy Management (LM)

_ _ of Energy Washington, DC 20565 Mr. Mark Jackson Aluminum Company of America 100 Technical Drive Alcoa Center, Pennsylvania 15069-0001 Dear Mr. Jackson: At,the request of the U.S. Department of Energy and with the consent of your company, Oak Ridge National Laboratory performed a radiological survey of the former ALCOA Research Labo,ratory at 600 Freeport Road in New Kensington, Pennsylvania. Three copies of the radiological survey report are enclosed for your information and use. An additional radiological survey was also performed at the former ALCOA New Kensington Works at Pine and Ninth Streets in New Kensington. This property was formerly owned and operated by ALCOA and was utilized at one time for uranium processing activities by DOE's predecessor, the Manhattan Engineer

476

Unclassified Controlled Nuclear Information Document Markings: A Brief Summary  

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

Unclassified Controlled Nuclear Unclassified Controlled Nuclear Information (UCNI) Document Markings: A Brief Summary U.S. Department of Energy Classification Training Institute Office of Quality Management Office of Classification Office of Health, Safety and Security November 2011 Unclassified Controlled Nuclear Information (UCNI) Document Markings: A Brief Summary Prepared by: Office of Quality Management Office of Classification U.S. Department of Energy 1000 Independence Avenue, SW. Washington, D.C. 20585-1290 U C N I This document contains UCNI. How do I mark it? Do I need additional markings if it contains OUO? Table of Contents Marking UCNI Documents and Material .................................................... 1

477

ANL Physics DivisionANL Physics Division ELECTRICAL SAFETY POLICY AND MANUAL  

E-Print Network [OSTI]

ON ENERGIZED CIRCUITS XV. LOCKOUT/TAGOUT XVI. TABLES The official version of this Physics Division manual annually. Ensures or oversees completion of the annual review of Lockout/Tagout procedures and authorized

Kemner, Ken

478

Illinois DNR oil and gas division | Open Energy Information  

Open Energy Info (EERE)

DNR oil and gas division DNR oil and gas division Jump to: navigation, search State Illinois Name Illinois DNR oil and gas division City, State Springfield, IL Website http://dnr.state.il.us/mines/d References Illinois DNR Oil and Gas[1] The Illinois DNR Oil and Gas division is located in Springfield, Illinois. About The Oil and Gas Division is one of four divisions within the Illinois Department of Natural Resources, Office of Mines and Minerals. Created in 1941, the Division of Oil & Gas is the regulatory authority in Illinois for permitting, drilling, operating, and plugging oil and gas production wells. The Division implements the Illinois Oil and Gas Act and enforces standards for the construction and operation of related production equipment and facilities. References

479

Linking Sulfur Metabolism to the Cell Division Machinery in Yeast  

E-Print Network [OSTI]

The longstanding view has been that metabolism allows for cell division to take place, but that metabolic processes do not actively promote cell division. I have recently challenged this notion by identifying a unique gain-of-function metabolic...

Blank, Heidi M.

2010-07-14T23:59:59.000Z

480

Nuclear Science Division Annual Report 1995-1996  

E-Print Network [OSTI]

Saladin5, and C.H. Yu6 Nuclear Science Division, LawrenceMoretto, G.J. Wozniak, Nuclear Science Division, LawrenceComment on Probing the Nuclear Liquid-Gas Phase Transition

Authors, Various

2010-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "forecasting division mark" 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

Energy Research and Development Division FINAL PROJECT REPORT  

E-Print Network [OSTI]

Energy Research and Development Division FINAL PROJECT REPORT PRODUCTION, and reliable energy services and products to the marketplace. The Energy Research and Development Division Generation · Industrial/Agricultural/Water EndUse Energy Efficiency · Renewable Energy Technologies

482

The Method of Division and Aristotle's Criticism of Platonic Philosophy  

E-Print Network [OSTI]

class whose members stand in a homologous relationship to a single form. I argue that Aristotle's criticisms of the Method of Division fall under two categories: logical objections and ontological objections. The logical objections focus on division as a...

Howton, Robert F.

2010-07-14T23:59:59.000Z

483

16 TAC 3 - Oil and Gas Division | Open Energy Information  

Open Energy Info (EERE)

TAC 3 - Oil and Gas Division Jump to: navigation, search OpenEI Reference LibraryAdd to library Legal Document- RegulationRegulation: 16 TAC 3 - Oil and Gas DivisionLegal Abstract...

484

Nevada Division of Water Resources Forms Webpage | Open Energy...  

Open Energy Info (EERE)

Nevada Division of Water Resources Forms Webpage Jump to: navigation, search OpenEI Reference LibraryAdd to library Web Site: Nevada Division of Water Resources Forms Webpage...

485

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

Science Journals Connector (OSTI)

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

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

2015-01-01T23:59:59.000Z

486

EIA - Forecasts and Analysis of Energy Data  

Gasoline and Diesel Fuel Update (EIA)

Oil Markets Oil Markets IEO2005 projects that world crude oil prices in real 2003 dollars will decline from their current level by 2010, then rise gradually through 2025. In the International Energy Outlook 2005 (IEO2005) reference case, world demand for crude oil grows from 78 million barrels per day in 2002 to 103 million barrels per day in 2015 and to just over 119 million barrels per day in 2025. Much of the growth in oil consumption is projected for the emerging Asian nations, where strong economic growth results in a robust increase in oil demand. Emerging Asia (including China and India) accounts for 45 percent of the total world increase in oil use over the forecast period in the IEO2005 reference case. The projected increase in world oil demand would require an increment to world production capability of more than 42 million barrels per day relative to the 2002 crude oil production capacity of 80.0 million barrels per day. Producers in the Organization of Petroleum Exporting Countries (OPEC) are expected to be the major source of production increases. In addition, non-OPEC supply is expected to remain highly competitive, with major increments to supply coming from offshore resources, especially in the Caspian Basin, Latin America, and deepwater West Africa. The estimates of incremental production are based on current proved reserves and a country-by-country assessment of ultimately recoverable petroleum. In the IEO2005 oil price cases, the substantial investment capital required to produce the incremental volumes is assumed to exist, and the investors are expected to receive at least a 10-percent return on investment.

487

Tempe Transportation Division: LNG Turbine Hybrid Electric Buses  

SciTech Connect (OSTI)

Fact sheet describes the performance of liquefied natural gas (LNG) turbine hybrid electric buses used in Tempe's Transportation Division.

Not Available

2002-02-01T23:59:59.000Z

488

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

SciTech Connect (OSTI)

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

Porter, K.; Rogers, J.

2012-04-01T23:59:59.000Z

489

NUCLEAR SCIENCE AND TECHNOLOGY DIVISION OAK RIDGE NATIONAL LABORATORY  

E-Print Network [OSTI]

NUCLEAR SCIENCE AND TECHNOLOGY DIVISION OAK RIDGE NATIONAL LABORATORY U.S. DEPARTMENT OF ENERGY-27, 2004 CERN Geneva, Switzerland #12;NUCLEAR SCIENCE AND TECHNOLOGY DIVISION OAK RIDGE NATIONAL LABORATORY Experience Installing New Equipment · Conclusions #12;NUCLEAR SCIENCE AND TECHNOLOGY DIVISION OAK RIDGE

McDonald, Kirk

490

NUCLEAR SCIENCE AND TECHNOLOGY DIVISION OAK RIDGE NATIONAL LABORATORY  

E-Print Network [OSTI]

NUCLEAR SCIENCE AND TECHNOLOGY DIVISION OAK RIDGE NATIONAL LABORATORY U.S. DEPARTMENT OF ENERGY Upton, NY #12;2 NUCLEAR SCIENCE AND TECHNOLOGY DIVISION OAK RIDGE NATIONAL LABORATORY U.S. DEPARTMENT;3 NUCLEAR SCIENCE AND TECHNOLOGY DIVISION OAK RIDGE NATIONAL LABORATORY U.S. DEPARTMENT OF ENERGY Properties

McDonald, Kirk

491

Experimental Facilities Division Oak Ridge Nov. 13-15, 2002  

E-Print Network [OSTI]

Experimental Facilities Division Oak Ridge Nov. 13-15, 2002 PITTING ISSUE/TARGET DECISION John;Experimental Facilities Division Oak Ridge2 Nov. 13-15, 2002 SNS-XFD Doug Abernathy Michael Agamalian Ian The Pit Crew #12;Experimental Facilities Division Oak Ridge3 Nov. 13-15, 2002 Criteria and Deadlines

McDonald, Kirk

492

TTUS FP&C Design & Building Standards Division 15 Mechanical  

E-Print Network [OSTI]

TTUS FP&C Design & Building Standards Division 15 ­ Mechanical Division 15 ­ Mechanical the performance of the building systems. If the project team would like an exception to the standards's Representative. Page 1 of 39 #12;TTUS FP&C Design & Building Standards Division 15 ­ Mechanical

Gelfond, Michael

493

RESEARCH CENTER REVIEW GUIDELINES DIVISION OF SOCIAL SCIENCES  

E-Print Network [OSTI]

RESEARCH CENTER REVIEW GUIDELINES DIVISION OF SOCIAL SCIENCES UNIVERSITY OF CALIFORNIA, SANTA CRUZ §1. Objectives The Division of Social Sciences at the University of California, Santa Cruz conducts The Dean of the Division of Social Sciences is responsible for general oversight of the review process

California at Santa Cruz, University of

494

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

495

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

496

An assessment of electrical load forecasting using artificial neural network  

Science Journals Connector (OSTI)

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

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

2012-01-01T23:59:59.000Z

497

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

Science Journals Connector (OSTI)

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

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

2014-02-01T23:59:59.000Z

498

Publications of the Life Sciences Division, ORNL  

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

LSD logo Life Sciences Division LSD logo Life Sciences Division Oak Ridge National Laboratory Programs Partners Organization Highlights In the News --- Home Internal (Restricted Access) Contacts Publications 2003 Publications/Presentations Akabani, G., S. J. Kennel, and M. R. Zalutsky, "Microdosimetric analysis of alpha-particle-emitting targeted radiotherapeutics using histological images," J. Nucl. Med. 44(5):792-805 (May 2003). Allain, L. R., D. N. Stratis, C. M. Cullum, J. Mobley, M. R. Hajaligol, and T. Vo-Dinh, "Real-time detection of PAH mixtures in the vapor phase at high temperatures," J. Anal. Appl. Pyrolysis 66(1-2):145-154 (January 2003). Chain, P., J. Lamerdin, F. Larimer, W. Regala, V. Lao, M. Land, L. Hauser, A. Hooper, M. Klotz, J. Norton, L. Sayavedra- Soto, D. Arciero, N. Hommes, M. Whittaker, and D. Arp, "Complete Genome Sequence of the Ammonia-Oxidizing Bacterium and Obligate Chemolithoautotroph NitrosomonaseEuropaea," J. Bacteriology 185(9):2759-2773 (May 2003).

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

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

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

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Forecasting correlated time series with exponential smoothing models  

Science Journals Connector (OSTI)

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

Ana Corbern-Vallet; Jos D. Bermdez; Enriqueta Vercher

2011-01-01T23:59:59.000Z