Sample records for form-826 databases short-term

  1. Short-Term Energy Outlook

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

    Chart Gallery for April 2015 Short-Term Energy Outlook U.S. Energy Information Administration Independent Statistics & Analysis 0 20 40 60 80 100 120 140 160 180 200 220 Jan 2014...

  2. Short-Term Energy Outlook

    Gasoline and Diesel Fuel Update (EIA)

    day Forecast -1.0 2012 2013 2014 OPEC countries North America Russia and Caspian Sea Latin America North Sea Other Non-OPEC Source: Short-Term Energy Outlook, November 2013 -1 0...

  3. Short-Term Energy Outlook

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S. Natural GasquestionnairesquestionnairesGasA.San3 1 Short-Term Energy33

  4. Short-Term Energy Outlook

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S. Natural GasquestionnairesquestionnairesGasA.San3 1 Short-Term

  5. Short-Term Energy Outlook

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S. Natural GasquestionnairesquestionnairesGasA.San3 1 Short-Term(STEO)

  6. Short-term energy outlook, January 1999

    SciTech Connect (OSTI)

    NONE

    1999-01-01T23:59:59.000Z

    The Energy Information Administration (EIA) prepares the Short-Term Energy Outlook (energy supply, demand, and price projections) monthly. The forecast period for this issue of the Outlook extends from January 1999 through December 2000. Data values for the fourth quarter 1998, however, are preliminary EIA estimates (for example, some monthly values for petroleum supply and disposition are derived in part from weekly data reported in EIA`s Weekly Petroleum Status Report) or are calculated from model simulations that use the latest exogenous information available (for example, electricity sales and generation are simulated by using actual weather data). The historical energy data, compiled in the January 1999 version of the Short-Term Integrated Forecasting System (STIFS) database, are mostly EIA data regularly published in the Monthly Energy Review, Petroleum Supply Monthly, and other EIA publications. Minor discrepancies between the data in these publications and the historical data in this Outlook are due to independent rounding. The STIFS model is driven principally by three sets of assumptions or inputs: estimates of key macroeconomic variables, world oil price assumptions, and assumptions about the severity of weather. Macroeconomic estimates are produced by DRI/McGraw-Hill but are adjusted by EIA to reflect EIA assumptions about the world price of crude oil, energy product prices, and other assumptions which may affect the macroeconomic outlook. By varying the assumptions, alternative cases are produced by using the STIFS model. 28 figs., 19 tabs.

  7. Short-term energy outlook, July 1998

    SciTech Connect (OSTI)

    NONE

    1998-07-01T23:59:59.000Z

    The Energy Information Administration (EIA) prepares The Short-Term Energy Outlook (energy supply, demand, and price projections) monthly for distribution on the internet at: www.eia.doe.gov/emeu/steo/pub/contents.html. In addition, printed versions of the report are available to subscribers in January, April, July and October. The forecast period for this issue of the Outlook extends from July 1998 through December 1999. Values for second quarter of 1998 data, however, are preliminary EIA estimates (for example, some monthly values for petroleum supply and disposition are derived in part from weekly data reported in EIA`s Weekly Petroleum Status Report) or are calculated from model simulations that use the latest exogenous information available (for example, electricity sales and generation are simulated by using actual weather data). The historical energy data, compiled in the July 1998 version of the Short-Term Integrated Forecasting System (STIFS) database, are mostly EIA data regularly published in the Monthly Energy Review, Petroleum Supply Monthly, and other EIA publications. Minor discrepancies between the data in these publications and the historical data in this Outlook are due to independent rounding. 28 figs., 19 tabs.

  8. Short-term energy outlook: Quarterly projections. Second quarter 1995

    SciTech Connect (OSTI)

    NONE

    1995-05-02T23:59:59.000Z

    The Energy Information Administration (EIA) prepares quarterly, short-term energy supply, demand, and price projections for publication in February, May, August, and November in the Short-Term Energy Outlook (Outlook). An annual supplement analyzes the performance of previous forecasts, compares recent projections with those of other forecasting services, and discusses current topics related to the short-term energy markets. (See Short-Term Energy Outlook Annual Supplement, DOE/EIA-0202.) The forecast period for this issue of the Outlook extends from the second quarter of 1995 through the fourth quarter of 1996. Values for the first quarter of 1995, however, are preliminary EIA estimates (for example, some monthly values for petroleum supply and disposition are derived in part from weekly data reported in the Weekly Petroleum Status Report) or are calculated from model simulations using the latest exogenous information available (for example, electricity sales and generation are simulated using actual weather data). The historical energy data, compiled into the second quarter 1995 version of the Short-Term Integrated Forecasting System (STIFS) database, are mostly EIA data regularly published in the Monthly Energy Review, Petroleum Supply Monthly, and other EIA publications. Minor discrepancies between the data in these publications and the historical data in this Outlook are due to independent rounding. The STIFS database is archived quarterly and is available from the National Technical Information Service.

  9. Short-Term Energy Outlook September 2013

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

    September 2013 1 September 2013 Short-Term Energy Outlook (STEO) Highlights Monthly average crude oil prices increased for the fourth consecutive month in August 2013, as...

  10. QIP Short Term Course Application of Renewable

    E-Print Network [OSTI]

    Kumar, M. Jagadesh

    QIP Short Term Course on Application of Renewable Energy sources (December 11-17, 2013) Course mitigation and credit · PV modules/arrays · Batteries · Hybrid systems (wind, hydro etc.) · Life cycle cost:gntiwari@ces.iitd.ernet.in Application Form QIP Short-Term Course on Applications of Renewable Energy Sources (December 11-17, 2013) Name

  11. Short-term energy outlook, April 1999

    SciTech Connect (OSTI)

    NONE

    1999-04-01T23:59:59.000Z

    The forecast period for this issue of the Outlook extends from April 1999 through December 2000. Data values for the first quarter 1999, however, are preliminary EIA estimates (for example, some monthly values for petroleum supply and disposition are derived in part from weekly data reported in EIA`s Weekly Petroleum Status Report) or are calculated from model simulations that use the latest exogenous information available (for example, electricity sales and generation are simulated by using actual weather data). The historical energy data, compiled in the April 1999 version of the Short-Term Integrated forecasting system (STIFS) database, are mostly EIA data regularly published in the Monthly Energy Review, Petroleum Supply Monthly, and other EIA publications. Minor discrepancies between the data in these publications and the historical data in this Outlook are due to independent rounding. The STIFS model is driven principally by three sets of assumptions or inputs: estimates of key macroeconomic variables, world oil price assumptions, and assumptions about the severity of weather. Macroeconomic estimates are produced by DRI/McGraw-Hill but are adjusted by EIA to reflect EIA assumptions about the world price of crude oil, energy product prices, and other assumptions which may affect the macroeconomic outlook. By varying the assumptions, alternative cases are produced by using the STIFS model. 25 figs., 19 tabs.

  12. Short-term energy outlook. Quarterly projections, first quarter 1995

    SciTech Connect (OSTI)

    Not Available

    1995-02-01T23:59:59.000Z

    The Energy Information Administration (EIA) prepares quarterly, short-term energy supply, demand, and price projections for publication in February, May, August, and November in the Short-Term Energy Outlook (Outlook). The forecast period for this issue of the Outlook extends from the first quarter of 1995 through the fourth quarter of 1996. Values for the fourth quarter of 1994, however, are preliminary EIA estimates or are calculated from model simulations using the latest exogenous information available (for example, electricity sales and generation are simulated using actual weather data). The historical energy data, compiled into the first quarter 1995 version of the Short-Term Integrated Forecasting System (STIFS) database, are mostly EIA data regularly published in the Monthly Energy Review, Petroleum Supply Monthly, and other EIA publications. Minor discrepancies between the data in these publications and the historical data in this Outlook are due to independent rounding. The STIFS database is archived quarterly and is available from the National Technical Information Service. The cases are produced using the Short-Term Integrated Forecasting System (STIFS). The STIFS model is driven principally by three sets of assumptions or inputs: estimates of key macroeconomic variables, world oil price assumptions, and assumptions about the severity of weather. Macroeconomic estimates are produced by DRI/McGraw-Hill but are adjusted by EIA to reflect EIA assumptions about the world price of crude oil, energy product prices, and other assumptions which may affect the macroeconomic outlook. The EIA model is available on computer tape from the National Technical Information Service.

  13. Short-term energy outlook: Quarterly projections, fourth quarter 1997

    SciTech Connect (OSTI)

    NONE

    1997-10-14T23:59:59.000Z

    The Energy Information Administration (EIA) prepares quarterly short-term energy supply, demand, and price projections for printed publication in January, April, July, and October in the Short-Term Energy Outlook. The details of these projections, as well as monthly updates on or about the 6th of each interim month, are available on the internet at: www.eia.doe.gov/emeu/steo/pub/contents.html. The forecast period for this issue of the Outlook extends from the fourth quarter of 1997 through the fourth quarter of 1998. Values for the fourth quarter of 1997, however, are preliminary EIA estimates (for example, some monthly values for petroleum supply and disposition are derived in part from weekly data reported in EIA`s Weekly Petroleum Status Report) or are calculated from model simulations that use the latest exogenous information available (for example, electricity sales and generation are simulated by using actual weather data). The historical energy data, compiled in the fourth quarter 1997 version of the Short-Term Integrated Forecasting System (STIFS) database, are mostly EIA data regularly published in the Monthly Energy Review, Petroleum Supply Monthly, and other EIA publications. Minor discrepancies between the data in these publications and the historical data in this Outlook are due to independent rounding. The STIFS model is driven principally by three sets of assumptions or inputs: estimates of key macroeconomic variables, world oil price assumptions, and assumptions about the severity of weather. 19 tabs.

  14. Electricity storage for short term power system service (Smart...

    Open Energy Info (EERE)

    Electricity storage for short term power system service (Smart Grid Project) Jump to: navigation, search Project Name Electricity storage for short term power system service...

  15. Short-term energy outlook. Quarterly projections, first quarter 1996

    SciTech Connect (OSTI)

    NONE

    1996-02-01T23:59:59.000Z

    The Energy Information Administration (EIA) prepares quarterly, short-term energy supply, demand, and price projections for publication in February, May, August, and November in the Outlook. The forecast period for this issue of the Outlook extends from the first quarter of 1996 through the fourth quarter of 1997. Values for the fourth quarter of 1995, however, are preliminary EIA estimates (for example, some monthly values for petroleum supply and disposition are derived in part from weekly data reported in the Weekly Petroleum Status Report) or are calculated from model simulations using the latest exogenous information available (for example, electricity sales and generation are simulated using actual weather data). The historical energy data, compiled into the first quarter 1996 version of the Short-Term Integrated Forecasting System (STIFS) database, are mostly EIA data regularly published in the Monthly Energy Review, Petroleum Supply Monthly, and other EIA publications. Minor discrepancies between the data in these publications and the historical data in this Outlook are due to independent rounding. The STIFS database is archived quarterly and is available from the National Technical Information Service. The cases are produced using the Short-Term Integrated Forecasting System (STIFS). The STIFS model is driven principally by three sets of assumptions or inputs: estimates of key macroeconomic variables, world oil price assumptions, and assumptions about the severity of weather. Macroeconomic estimates are produced by DRI/McGraw-Hill but are adjusted by EIA to reflect EIA assumptions about the world price of crude oil, energy product prices, and other assumptions which may affect the macroeconomic outlook.

  16. Short-term energy outlook: Quarterly projections, second quarter 1997

    SciTech Connect (OSTI)

    NONE

    1997-04-01T23:59:59.000Z

    The Energy Information Administration (EIA) prepares quarterly short-term energy supply, demand, and price projections for publication in January, April, July, and October in the Outlook. The forecast period for this issue of the Outlook extends from the second quarter of 1997 through the fourth quarter of 1998. Values for the first quarter of 1997, however, are preliminary EIA estimates (for example, some monthly values for petroleum supply and disposition are derived in part from weekly data reported in EIA`s Weekly Petroleum Status Report) or are calculated from model simulations that use the latest exogenous information available (for example, electricity sales and generation are simulated by using actual weather data). The historical energy data, compiled in the second quarter 1997 version of the Short-Term Integrated Forecasting System (STIFS) database, are mostly EIA data regularly published in the Monthly Energy Review, Petroleum Supply Monthly, and other EIA publications. Minor discrepancies between the data in these publications and the historical data in this Outlook are due to independent rounding. The STIFS database is archived quarterly and is available from the National Technical Information Service. The STIFS model is driven principally by three sets of assumptions or inputs: estimates of key macroeconomic variables, world oil price assumptions, and assumptions about the severity of weather. Macroeconomic estimates are produced by DRI/McGraw-Hill but are adjusted by EIA to reflect EIA assumptions about the world price of crude oil, energy product prices, and other assumptions which may affect the macroeconomic outlook. By varying the assumptions, alternative cases are produced by using the Short-Term Integrated Forecasting System (STIFS). 34 figs., 19 tabs.

  17. Short-term energy outlook. Quarterly projections, third quarter 1996

    SciTech Connect (OSTI)

    NONE

    1996-07-01T23:59:59.000Z

    The Energy Information Administration (EIA) prepares quarterly, short-term energy supply, demand, and price projections for publication in January, April, July, and October in the Outlook. The forecast period for this issue of the Outlook extends from the third quarter of 1996 through the fourth quarter of 1997. Values for the second quarter of 1996, however, are preliminary EIA estimates (for example, some monthly values for petroleum supply and disposition are derived in part from weekly data reported in the Weekly Petroleum Status Report) or are calculated from model simulations using the latest exogenous information available (for example, electricity sales and generation are simulated using actual weather data). The historical energy data, compiled in the third quarter 1996 version of the Short-Term Integrated Forecasting System (STIFS) database, are mostly EIA data regularly published in the Monthly energy Review, Petroleum Supply Monthly, and other EIA publications. Minor discrepancies between the data in these publications and the historical data in this Outlook are due to independent rounding. The STIFS database is archived quarterly and is available from the National Technical Information Service.

  18. Short Term Energy Outlook, February 2003

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S. Natural GasquestionnairesquestionnairesGasA.San3 1 Short-Term Energy

  19. Short Term Energy Outlook, January 2003

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S. Natural GasquestionnairesquestionnairesGasA.San3 1 Short-Term Energy3

  20. Short Term Energy Outlook, March 2003

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S. Natural GasquestionnairesquestionnairesGasA.San3 1 Short-Term Energy33

  1. Short-Term Energy Outlook- May 2003

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S. Natural GasquestionnairesquestionnairesGasA.San34Summer3 1 Short-Term

  2. Short-term energy outlook quarterly projections. Third quarter 1997

    SciTech Connect (OSTI)

    NONE

    1997-07-01T23:59:59.000Z

    This document presents the 1997 third quarter short term energy projections. Information is presented for fossil fuels and renewable energy.

  3. Short-term energy outlook quarterly projections. First quarter 1994

    SciTech Connect (OSTI)

    Not Available

    1994-02-07T23:59:59.000Z

    The Energy Information Administration (EIA) prepares quarterly, short- term energy supply, demand, and price projections for publication in February, May, August, and November in the Short-Term Energy Outlook (Outlook). An annual supplement analyzes the performance of previous forecasts, compares recent cases with those of other forecasting services, and discusses current topics related to the short-term energy markets.

  4. Semester, Academic Year and Short Term SUNY Programs

    E-Print Network [OSTI]

    Suzuki, Masatsugu

    Semester, Academic Year and Short Term SUNY Programs: Asia #12;1 Table of Contents How to Use Year 10 Japan Short-term 12 Korea Semester & Academic Year 13 Korea Short-term 17 Programs in Other Contact Information 23 How to Use this Booklet This handout contains listings of all the programs offered

  5. Short-term energy outlook. Quarterly projections, Third quarter 1994

    SciTech Connect (OSTI)

    Not Available

    1994-08-02T23:59:59.000Z

    The Energy Information Administration (EIA) prepares quarterly, short-term energy supply, demand, and price projections for publication in February, May, August, and November in the Short-Term Energy Outlook (Outlook). An annual supplement analyzes the performance of previous forecasts, compares recent cases with those of other forecasting services, and discusses current topics related to the short-term energy markets. (See Short-Term Energy Outlook Annual Supplement, DOE/EIA-0202). The feature article for this issue is Demand, Supply and Price Outlook for Reformulated Gasoline, 1995.

  6. Short-term energy outlook annual supplement, 1993

    SciTech Connect (OSTI)

    NONE

    1993-08-06T23:59:59.000Z

    The Short-Term Energy Outlook Annual Supplement (supplement) is published once a year as a complement to the Short-Term Energy Outlook (Outlook), Quarterly Projections. The purpose of the Supplement is to review the accuracy of the forecasts published in the Outlook, make comparisons with other independent energy forecasts, and examine current energy topics that affect the forecasts.

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

    E-Print Network [OSTI]

    Heinemann, Detlev

    Short term forecasting of solar radiation based on satellite data Elke Lorenz, Annette Hammer term time range of 30 minutes to 6 hours. As far as short term horizons are concerned, satellite data index images according to the Heliosat method, a semi-empirical methode to derive radiation from

  8. SUNY Programs: Semester, Academic Year and Short Term

    E-Print Network [OSTI]

    Suzuki, Masatsugu

    SUNY Programs: Italy Semester, Academic Year and Short Term #12;1 Table of Contents How to Use This Booklet 1 A Brief Overview 2 Semester and Academic Year Programs 3 Short Term Programs 8 Contact of programs offered in Italy by SUNY campuses. These listings provide a summary about the basic

  9. SUNY Programs: Semester, Academic Year and Short Term

    E-Print Network [OSTI]

    Suzuki, Masatsugu

    SUNY Programs: France Semester, Academic Year and Short Term #12;1 Table of Contents How to Use This Booklet 1 A Brief Overview 2 Semester and Academic Year Programs 3 Short Term Programs 6 SUNY Programs in Canada and other Francophone Locations 9 Recommended non-SUNY Program 11 Contact Information for all SUNY

  10. Short-term energy outlook, annual supplement 1994

    SciTech Connect (OSTI)

    Not Available

    1994-08-01T23:59:59.000Z

    The Short-Term Energy Outlook Annual Supplement (Supplement) is published once a year as a complement to the Short-Term Energy Outlook (Outlook), Quarterly Projections. The purpose of the Supplement is to review the accuracy of the forecasts published in the Outlook, make comparisons with other independent energy forecasts, and examine current energy topics that affect the forecasts.

  11. Short-term energy outlook, quarterly projections, first quarter 1998

    SciTech Connect (OSTI)

    NONE

    1998-01-01T23:59:59.000Z

    The forecast period for this issue of the Outlook extends from the first quarter of 1998 through the fourth quarter of 1999. Values for the fourth quarter of 1997, however, are preliminary EIA estimates (for example, some monthly values for petroleum supply and disposition are derived in part from weekly data reported in EIA`s Weekly Petroleum Status Report) or are calculated from model simulations that use the latest exogenous information available (for example, electricity sales and generation are simulated by using actual weather data). The historical energy data, compiled in the first quarter 1998 version of the Short-Term Integrated Forecasting System (STIFS) database, are mostly EIA data regularly published in the Monthly Energy Review, Petroleum Supply Monthly, and other EIA publications. Minor discrepancies between the data in these publications and the historical data in this Outlook are due to independent rounding. The STIFS model is driven principally by three sets of assumptions or inputs: estimates of key macroeconomic variables, world oil price assumptions, and assumptions about the severity of weather. Macroeconomic estimates are adjusted by EIA to reflect EIA assumptions which may affect the macroeconomic outlook. By varying the assumptions, alternative cases are produced by using the STIFS model. 24 figs., 19 tabs.

  12. Short-term energy outlook. Quarterly projections, Third quarter 1995

    SciTech Connect (OSTI)

    NONE

    1995-08-02T23:59:59.000Z

    The Energy Information Administration (EIA) prepares quarterly, short-term energy supply, demand, and price projections for publication in February, May, August, and November in the Short-Term Energy Outlook (Outlook). An annual supplement analyzes the performance of previous forecasts, compares recent projections with those of other forecasting services, and discusses current topics related to the short-term energy markets. The forecast period for this issue of the Outlook extends from the third quarter of 1995 through the fourth quarter of 1996. Values for the second quarter of 1995, however, are preliminary EIA estimates.

  13. Short-term CO? abatement in the European power sector

    E-Print Network [OSTI]

    Delarue, Erik D.

    2008-01-01T23:59:59.000Z

    This paper focuses on the possibilities for short term abatement in response to a CO2 price through fuel switching in the European power sector. The model E-Simulate is used to simulate the electricity generation in Europe ...

  14. Vehicle Technologies Office: Short-Term Lightweight Materials Research

    Broader source: Energy.gov [DOE]

    In the short term, replacing heavy steel components with materials such as high-strength steel, aluminum, or glass fiber-reinforced polymer composites can decrease component weight by 10-60 percent.

  15. A model for short term electric load forecasting

    E-Print Network [OSTI]

    Tigue, John Robert

    1975-01-01T23:59:59.000Z

    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...

  16. Short-term energy outlook. Quarterly projections, 2nd quarter 1994

    SciTech Connect (OSTI)

    Not Available

    1994-05-01T23:59:59.000Z

    The Energy Information Administration (EIA) prepares quarterly, short-term energy supply, demand, and price projections for publication in February, May, August, and November in the Short-Term Energy Outlook (Outlook). An annual supplement analyzes the performance of previous forecasts, compares recent cases with those of other forecasting services, and discusses current topics related to the short-term energy markets. The forecast period for this issue of the Outlook extends from the second quarter of 1994 through the fourth quarter of 1995. Values for the first quarter of 1994, however, are preliminary EIA estimates (for example, some monthly values for petroleum supply and disposition are derived in part from weekly data reported in the Weekly Petroleum Status Report) or are calculated from model simulations using the latest exogenous information available. The historical energy data, compiled into the second quarter 1994 version of the Short-Term Integrated Forecasting System (STIFS) database, are mostly EIA data regularly published in the Monthly Energy Review, Petroleum Supply Monthly, and other EIA publications. Minor discrepancies between the data in these publications and the historical data in this Outlook are due to independent rounding. The STIFS database is archived quarterly and is available from the National Technical Information Service. The cases are produced using the STIFS. The STIFS model is driven principally by three sets of assumptions or inputs: estimates of key macroeconomic variables, world oil price assumptions, and assumptions about the severity of weather. Macroeconomic estimates are produced by DRI/McGraw-Hill but are adjusted by EIA to reflect EIA assumptions about the world price of crude oil, energy product prices, and other assumptions which may affect the macroeconomic outlook. The EIA model is available on computer tape from the National Technical Information Service.

  17. Short-Termed Integrated Forecasting System: 1993 Model documentation report

    SciTech Connect (OSTI)

    Not Available

    1993-05-01T23:59:59.000Z

    The purpose of this report is to define the Short-Term Integrated Forecasting System (STIFS) and describe its basic properties. The Energy Information Administration (EIA) of the US Energy Department (DOE) developed the STIFS model to generate short-term (up to 8 quarters), monthly forecasts of US supplies, demands, imports exports, stocks, and prices of various forms of energy. The models that constitute STIFS generate forecasts for a wide range of possible scenarios, including the following ones done routinely on a quarterly basis: A base (mid) world oil price and medium economic growth. A low world oil price and high economic growth. A high world oil price and low economic growth. This report is written for persons who want to know how short-term energy markets forecasts are produced by EIA. The report is intended as a reference document for model analysts, users, and the public.

  18. Short-term energy outlook. Volume 2. Methodology

    SciTech Connect (OSTI)

    Not Available

    1982-05-01T23:59:59.000Z

    This volume updates models and forecasting methodologies used and presents information on new developments since November 1981. Chapter discusses the changes in forecasting methodology for motor gasoline demand, electricity sales, coking coal, and other petroleum products. Coefficient estimates, summary statistics, and data sources for many of the short-term energy models are provided. Chapter 3 evaluates previous short-term forecasts for the macroeconomic variables, total energy, petroleum supply and demand, coal consumption, natural gas, and electricity fuel shares. Chapter 4 reviews the relationship of total US energy consumption to economic activity between 1960 and 1981.

  19. Short-term production and synoptic influences on atmospheric 7

    E-Print Network [OSTI]

    Short-term production and synoptic influences on atmospheric 7 Be concentrations Ilya G. Usoskin,1; published 21 March 2009. [1] Variations of the cosmogenic radionuclide 7 Be in the global atmosphere the variations in the 7 Be concentration in the atmosphere for the period from 1 January to 28 February 2005

  20. SHORT-TERM GENERATION ASSET VALUATION: A REAL OPTIONS APPROACH

    E-Print Network [OSTI]

    Tseng, Chung-Li

    using real options to value power plants with unit commitment constraints over a short-term period. We forward-moving Monte Carlo simulation with backward-moving dynamic programming. We assume that the power significantly overvalue a power plant. With deregulation of the electricity industry a global trend, utilities

  1. SUNY Programs: Semester, Academic Year and Short Term

    E-Print Network [OSTI]

    Suzuki, Masatsugu

    SUNY Programs: Spain Semester, Academic Year and Short Term #12;1 Table of Contents How to Use of programs offered in Spain by SUNY campuses. These listings provide a summary about the characteristics by the SUNY campuses in Spain. In addition, there are some excellent programs in Spain outside the SUNY system

  2. SATELLITE BASED SHORT-TERM FORECASTING OF SOLAR IRRADANCE

    E-Print Network [OSTI]

    Heinemann, Detlev

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

  3. Short-term energy outlook, Quarterly projections. Third quarter 1993

    SciTech Connect (OSTI)

    NONE

    1993-08-04T23:59:59.000Z

    The Energy Information Administration (EIA) prepares quarterly, short-term energy supply, demand, and price projections for publication in February, May, August, and November in the Short-Term Energy Outlook (Outlook). An annual supplement analyzes the performance of previous forecasts, compares recent cases with those of other forecasting services, and discusses current topics related to the short-term energy markets. (See Short-Term Energy Outlook Annual Supplement, DOE/EIA-0202.) The forecast period for this issue of the Outlook extends from the third quarter of 1993 through the fourth quarter of 1994. Values for the second quarter of 1993, however, are preliminary EIA estimates (for example, some monthly values for petroleum supply and disposition are derived in part from weekly data reported in the Weekly Petroleum Status Report) or are calculated from model simulations using the latest exogenous information available (for example, electricity sales and generation are simulated using actual weather data). The historical energy data are EIA data published in the Monthly Energy Review, Petroleum Supply Monthly, and other EIA publications. Minor discrepancies between the data in these publications and the historical data in this Outlook are due to independent rounding.

  4. Management and Conservation Short-Term Impacts of Wind Energy

    E-Print Network [OSTI]

    Beck, Jeffrey L.

    Management and Conservation Short-Term Impacts of Wind Energy Development on Greater Sage associated with wind energy development on greater sage-grouse populations. We hypothesized that greater sage-grouse nest, brood, and adult survival would decrease with increasing proximity to wind energy infrastructure

  5. Short-term energy outlook. Quarterly projections, second quarter 1996

    SciTech Connect (OSTI)

    NONE

    1996-04-01T23:59:59.000Z

    The Energy Information Administration prepares quarterly, short-term energy supply, demand, and price projections. The forecasts in this issue cover the second quarter of 1996 through the fourth quarter of 1997. Changes to macroeconomic measures by the Bureau of Economic Analysis have been incorporated into the STIFS model used.

  6. Short-Term Energy Outlook: Quarterly projections. Fourth quarter 1993

    SciTech Connect (OSTI)

    Not Available

    1993-11-05T23:59:59.000Z

    The Energy Information Administration (EIA) prepares quarterly, short-term energy supply, demand, and price projections for publication in February, May, August, and November in the Short-Term Energy Outlook (Outlook). An annual supplement analyzes the performance of previous forecasts, compares recent cases with those of other forecasting services, and discusses current topics related to the short-term energy markets. (See Short-Term Energy Outlook Annual Supplement, DOE/EIA-0202.) The forecast period for this issue of the Outlook extends from the fourth quarter of 1993 through the fourth quarter of 1994. Values for the third quarter of 1993, however, are preliminary EIA estimates (for example, some monthly values for petroleum supply and disposition are derived in part from weekly data reported in the Weekly Petroleum Status Report) or are calculated from model simulations using the latest exogenous information available (for example, electricity sales and generation are simulated using actual weather data). The historical energy data are EIA data published in the Monthly Energy Review, Petroleum Supply Monthly, and other EIA publications.

  7. Short-Term Solar Energy Forecasting Using Wireless Sensor Networks

    E-Print Network [OSTI]

    Cerpa, Alberto E.

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

  8. Short-term energy outlook quarterly projections: First quarter 1993

    SciTech Connect (OSTI)

    Not Available

    1993-02-03T23:59:59.000Z

    The Energy Information Administration (EIA) prepares quarterly, short-term energy supply, demand, and price projections for publication in February, May, August, and November in the Short-Term Energy Outlook (Outlook). An annual supplement analyzes the performance of previous forecasts, compares recent cases with those of other forecasting services, and discusses current topics related to the short-term energy markets. (See Short-Term Energy Outlook Annual Supplement, DOE/EIA-0202.). The forecast period for this issue of the Outlook extends from the first quarter of 1993 through the fourth quarter of 1994. Values for the fourth quarter of 1992, however, are preliminary EIA estimates (for example, some monthly values for petroleum supply and disposition are derived in part from weekly data reported in the Weekly Petroleum Status Report) or are calculated from model simulations using the latest exogenous information available (for example, electricity sales and generation are simulated using actual weather data). The historical energy data are EIA data published in the Monthly Energy Review, Petroleum Supply Monthly, and other EIA publications. Minor discrepancies between the data in these publications and the historical data in this Outlook are due to independent rounding.

  9. Short-term energy outlook: Quarterly projections, Third quarter 1992

    SciTech Connect (OSTI)

    Not Available

    1992-08-01T23:59:59.000Z

    The Energy Information Administration (EIA) prepares quarterly, short-term energy supply, demand, and price projections for publication in February, May, August, and November in the Short-Term Energy Outlook (Outlook). An annual supplement analyzes the performance of previous forecasts, compares recent cases with those of other forecasting services, and discusses current topics related to the short-term energy markets. (See Short-Term Energy Outlook Annual Supplement, DOE/EIA-0202.) The principal users of the Outlook are managers and energy analysts in private industry and government. The forecast period for this issue of the Outlook extends from the third quarter of 1992 through the fourth quarter of 1993. Values for the second quarter of 1992, however, are preliminary EIA estimates (for example, some monthly values for petroleum supply and disposition are derived in part from weekly data reported in the Weekly Petroleum Status Report) or are calculated from model simulations using the latest exogenous information available (for example, electricity sales and generation are simulated using actual weather data). The historical energy data are EIA data published in the Monthly Energy Review, Petroleum Supply Monthly, and other EIA publications. Minor discrepancies between the data in these publications and the historical data in this Outlook are due to independent rounding.

  10. ANALYSIS OF SHORT-TERM SOLAR RADIATION DATA Gayathri Vijayakumar

    E-Print Network [OSTI]

    Wisconsin at Madison, University of

    ANALYSIS OF SHORT-TERM SOLAR RADIATION DATA Gayathri Vijayakumar Sanford A. Klein William A beckman@engr.wisc.edu ABSTRACT Solar radiation data are available for many locations on an hourly basis annual performance, although solar radiation can exhibit wide variations during an hour. Variations

  11. analyzing short-term noise: Topics by E-print Network

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

    122 Short term effects of moderate carbon prices on land use in the New Zealand emissions trading Environmental Sciences and Ecology Websites Summary: Short term effects of...

  12. Measuring Short-term Air Conditioner Demand Reductions for Operations and Settlement

    E-Print Network [OSTI]

    Bode, Josh

    2013-01-01T23:59:59.000Z

    Measuring Short-term Air Conditioner Demand Reductions forMeasuring Short-term Air Conditioner Demand Reductions forpilots have shown that air conditioner (AC) electric loads

  13. Short-term hydroelectric generation model. Model documentation report

    SciTech Connect (OSTI)

    NONE

    1996-12-01T23:59:59.000Z

    The purpose of this report is to define the objectives of the Energy Information Administration`s (EIA) Short-Term Hydroelectric Generation Model (STHGM), describe its basic approach, and to provide details on the model structure. This report is intended as a reference document for model analysts, users, and the general public. Documentation of the model is in accordance with the EIA`s legal obligation to provide adequate documentation in support of its models.

  14. Conditional Reliability Modeling of Short-term River Basin Management

    E-Print Network [OSTI]

    Salazar, A.; Wurbs, R. A.

    2003-01-01T23:59:59.000Z

    CONDITIONAL RELIABILITY MODELING OF SHORT-TERM RIVER BASIN MANAGEMENT ASCE Texas Section Spring Meeting 2003 By: A.Andr?s Salazar, Ph.D. Freese and Nichols, Inc. and Ralph A. Wurbs, P.E., Ph.D. Texas A&M University 2 TEXAS WATER AVAILABITY MODEL...-88Year Storage (x 1000 ac-ft) Periods without shortage = 657 out of 672 (97.8%) What is the probability of satisfying demand when reservoir falls below 100,000 ac-ft? 9 CONDITIONAL RELIABILITY Statistical analysis of small sequences. Simulation 1...

  15. Short-term energy outlook, quarterly projections, second quarter 1998

    SciTech Connect (OSTI)

    NONE

    1998-04-01T23:59:59.000Z

    The Energy Information Administration (EIA) prepares quarterly short-term energy supply, demand, and price projections. The details of these projections, as well as monthly updates, are available on the Internet at: www.eia.doe.gov/emeu/steo/pub/contents.html. The paper discusses outlook assumptions; US energy prices; world oil supply and the oil production cutback agreement of March 1998; international oil demand and supply; world oil stocks, capacity, and net trade; US oil demand and supply; US natural gas demand and supply; US coal demand and supply; US electricity demand and supply; US renewable energy demand; and US energy demand and supply sensitivities. 29 figs., 19 tabs.

  16. Natural Gas Summary from the Short-Term Energy Outlook

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30 2013 Macroeconomic team:6-2015 Illinois NA NA NAIn the May 2003 Short-Term

  17. Short-Term Energy and Winter Fuels Outlook October 2013

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S. Natural GasquestionnairesquestionnairesGasA.San34Summer3 1 Short-Term3

  18. Short-term energy outlook, Annual supplement 1995

    SciTech Connect (OSTI)

    NONE

    1995-07-25T23:59:59.000Z

    This supplement is published once a year as a complement to the Short- Term Energy Outlook, Quarterly Projections. The purpose of the Supplement is to review the accuracy of the forecasts published in the Outlook, make comparisons with other independent energy forecasts, and examine current energy topics that affect the forecasts. Chap. 2 analyzes the response of the US petroleum industry to the recent four Federal environmental rules on motor gasoline. Chap. 3 compares the EIA base or mid case energy projections for 1995 and 1996 (as published in the first quarter 1995 Outlook) with recent projections made by four other major forecasting groups. Chap. 4 evaluates the overall accuracy. Chap. 5 presents the methology used in the Short- Term Integrated Forecasting Model for oxygenate supply/demand balances. Chap. 6 reports theoretical and empirical results from a study of non-transportation energy demand by sector. The empirical analysis involves the short-run energy demand in the residential, commercial, industrial, and electrical utility sectors in US.

  19. Short-Term Test Results: Multifamily Home Energy Efficiency Retrofit

    SciTech Connect (OSTI)

    Lyons, J.

    2013-01-01T23:59:59.000Z

    Multifamily deep energy retrofits (DERs) represent great potential for energy savings, while also providing valuable insights on research-generated efficiency measures, cost-effectiveness metrics, and risk factor strategies for the multifamily housing industry. The Bay Ridge project is comprised of a base scope retrofit with a goal of achieving 30% savings (relative to pre-retrofit), and a DER scope with a goal of 50% savings (relative to pre-retrofit). The base scope has been applied to the entire complex, except for one 12-unit building which underwent the DER scope. Findings from the implementation, commissioning, and short-term testing at Bay Ridge include air infiltration reductions of greater than 60% in the DER building; a hybrid heat pump system with a Savings to Investment Ratio (SIR) > 1 (relative to a high efficiency furnace) which also provides the resident with added incentive for energy savings; and duct leakage reductions of > 60% using an aerosolized duct sealing approach. Despite being a moderate rehab instead of a gut rehab, the Bay Ridge DER is currently projected to achieve energy savings ? 50% compared to pre-retrofit, and the short-term testing supports this estimate.

  20. Short-term energy outlook, October 1998. Quarterly projections, 1998 4. quarter

    SciTech Connect (OSTI)

    NONE

    1998-10-01T23:59:59.000Z

    The Energy Information Administration (EIA) prepares The Short-Term Energy Outlook (energy supply, demand, and price projections) monthly for distribution on the Internet at: www.eia.doe.gov/emeu/steo/pub/contents.html. In addition, printed versions of the report are available to subscribers in January, April, July and October. The forecast period for this issue of the Outlook extends from October 1998 through December 1999. Values for third quarter of 1998 data, however, are preliminary EIA estimates (for example, some monthly values for petroleum supply and disposition are derived in part from weekly data reported in EIA`s Weekly Petroleum Status Report) or are calculated from model simulations that use the latest exogenous information available (for example, electricity sales and generation are simulated by using actual weather data). The historical energy data, compiled in the October 1998 version of the Short-term Integrated Forecasting System (STIFS) database, are mostly EIA data regularly published in the Monthly Energy Review, Petroleum Supply Monthly, and other EIA publications. Minor discrepancies between the data in these publications and the historical data in this Outlook are due to independent rounding.

  1. aneurysm repair short-term: Topics by E-print Network

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

    is socially excessive. The empirical analysis shows that the short-term debt to reserves ratio is a robust predictor of -nancial crises, and that greater short-term...

  2. Development of Short-term Demand Forecasting Model Application in Analysis of Resource Adequacy

    E-Print Network [OSTI]

    Development of Short-term Demand Forecasting Model And its Application in Analysis of Resource will present the methodology, testing and results from short-term forecasting model developed by Northwest and applied the short-term forecasting model to Resource Adequacy analysis. These steps are presented below. 1

  3. SULFURIC ACID REMOVAL PROCESS EVALUATION: SHORT-TERM RESULTS

    SciTech Connect (OSTI)

    Gary M. Blythe; Richard McMillan

    2002-03-04T23:59:59.000Z

    The objective of this project is to demonstrate the use of alkaline reagents injected into the furnace of coal-fired boilers as a means of controlling sulfuric acid emissions. Sulfuric acid controls are becoming of increasing interest to utilities with coal-fired units for a number of reasons. Sulfuric acid is a Toxic Release Inventory species, a precursor to acid aerosol/condensable emissions, and can cause a variety of plant operation problems such as air heater plugging and fouling, back-end corrosion, and plume opacity. These issues will likely be exacerbated with the retrofit of SCR for NOX control on some coal-fired plants, as SCR catalysts are known to further oxidize a portion of the flue gas SO{sub 2} to SO{sub 3}. The project is testing the effectiveness of furnace injection of four different calcium- and/or magnesium-based alkaline sorbents on full-scale utility boilers. These reagents have been tested during four one- to two-week tests conducted on two FirstEnergy Bruce Mansfield Plant units. One of the sorbents tested was a magnesium hydroxide slurry produced from a wet flue gas desulfurization system waste stream, from a system that employs a Thiosorbic{reg_sign} Lime scrubbing process. The other three sorbents are available commercially and include dolomite, pressure-hydrated dolomitic lime, and commercial magnesium hydroxide. The dolomite reagent was injected as a dry powder through out-of-service burners, while the other three reagents were injected as slurries through air-atomizing nozzles into the front wall of upper furnace, either across from the nose of the furnace or across from the pendant superheater tubes. After completing the four one- to two-week tests, the most promising sorbents were selected for longer-term (approximately 25-day) full-scale tests. The longer-term tests are being conducted to confirm the effectiveness of the sorbents tested over extended operation and to determine balance-of-plant impacts. This reports presents the results of the short-term tests; the long-term test results will be reported in a later document. The short-term test results showed that three of the four reagents tested, dolomite powder, commercial magnesium hydroxide slurry, and byproduct magnesium hydroxide slurry, were able to achieve 90% or greater removal of sulfuric acid compared to baseline levels. The molar ratio of alkali to flue gas sulfuric acid content (under baseline conditions) required to achieve 90% sulfuric acid removal was lowest for the byproduct magnesium hydroxide slurry. However, this result may be confounded because this was the only one of the three slurries tested with injection near the top of the furnace across from the pendant superheater platens. Injection at the higher level was demonstrated to be advantageous for this reagent over injection lower in the furnace, where the other slurries were tested.

  4. SULFURIC ACID REMOVAL PROCESS EVALUATION: SHORT-TERM RESULTS

    SciTech Connect (OSTI)

    Gary M. Blythe; Richard McMillan

    2002-02-04T23:59:59.000Z

    The objective of this project is to demonstrate the use of alkaline reagents injected into the furnace of coal-fired boilers as a means of controlling sulfuric acid emissions. Sulfuric acid controls are becoming of increasing interest to utilities with coal-fired units for a number of reasons. Sulfuric acid is a Toxic Release Inventory species, a precursor to acid aerosol/condensable emissions, and can cause a variety of plant operation problems such as air heater plugging and fouling, back-end corrosion, and plume opacity. These issues will likely be exacerbated with the retrofit of SCR for NO{sub x} control on some coal-fired plants, as SCR catalysts are known to further oxidize a portion of the flue gas SO{sub 2} to SO{sub 3}. The project is testing the effectiveness of furnace injection of four different calcium- and/or magnesium-based alkaline sorbents on full-scale utility boilers. These reagents have been tested during four one- to two-week tests conducted on two First Energy Bruce Mansfield Plant units. One of the sorbents tested was a magnesium hydroxide slurry produced from a wet flue gas desulfurization system waste stream, from a system that employs a Thiosorbic{reg_sign} Lime scrubbing process. The other three sorbents are available commercially and include dolomite, pressure-hydrated dolomitic lime, and commercial magnesium hydroxide. The dolomite reagent was injected as a dry powder through out-of-service burners, while the other three reagents were injected as slurries through air-atomizing nozzles into the front wall of upper furnace, either across from the nose of the furnace or across from the pendant superheater tubes. After completing the four one- to two-week tests, the most promising sorbents were selected for longer-term (approximately 25-day) full-scale tests. The longer-term tests are being conducted to confirm the effectiveness of the sorbents tested over extended operation and to determine balance-of-plant impacts. This reports presents the results of the short-term tests; the long-term test results will be reported in a later document. The short-term test results showed that three of the four reagents tested, dolomite powder, commercial magnesium hydroxide slurry, and byproduct magnesium hydroxide slurry, were able to achieve 90% or greater removal of sulfuric acid compared to baseline levels. The molar ratio of alkali to flue gas sulfuric acid content (under baseline conditions) required to achieve 90% sulfuric acid removal was lowest for the byproduct magnesium hydroxide slurry. However, this result may be confounded because this was the only one of the three slurries tested with injection near the top of the furnace across from the pendant superheater platens. Injection at the higher level was demonstrated to be advantageous for this reagent over injection lower in the furnace, where the other slurries were tested.

  5. Short-term Wind Power Forecasting Using Advanced Statistical T.S. Nielsen1

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Short-term Wind Power Forecasting Using Advanced Statistical Methods T.S. Nielsen1 , H. Madsen1 , H considered in the ANEMOS project for short-term fore- casting of wind power. The total procedure typically in for prediction of wind power or wind speed, estimating the uncertainty of the wind power forecast, and finally

  6. ANN-based Short-Term Load Forecasting in Electricity Markets

    E-Print Network [OSTI]

    Cañizares, Claudio A.

    ANN-based Short-Term Load Forecasting in Electricity Markets Hong Chen Claudio A. Ca~nizares Ajit1 Abstract--This paper proposes an Artificial Neu- ral Network (ANN)-based short-term load forecasting, electricity markets, spot prices, Artificial Neural Networks (ANN) I. Introduction Short

  7. Short-Term Generation Asset Valuation Chung-Li Tseng, Graydon Barz

    E-Print Network [OSTI]

    Short-Term Generation Asset Valuation Chung-Li Tseng, Graydon Barz Department of Civil Engineering 94305, USA chungli@eng.umd.edu, gbarz@leland.stanford.edu Abstract In this paper we present a method for valuing a power plant over a short-term period using Monte Carlo sim- ulation. The power plant valuation

  8. Short term thermal energy storage Institut fr Kernenergetik und Energiesysteme, University of Stuttgart, Stuttgart, FRG

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    477 Short term thermal energy storage A. Abhat Institut für Kernenergetik und Energiesysteme the problem of short term thermal energy storage for low temperature solar heating applications. The techniques of sensible and latent heat storage are discussed, with particular emphasis on the latter

  9. Short-term effects of salinity declines on juvenile hard clams, Mercenaria mercenaria.

    E-Print Network [OSTI]

    Florida, University of

    be compounded or mitigated by other factors, such as other environmental conditions or handling effects. #12Short-term effects of salinity declines on juvenile hard clams, Mercenaria mercenaria. Final report to Florida Sea Grant, for a Program Development Award Project title: Short-term effects of rapid salinity

  10. Session: Short-term forecasting of wind power (BT2.5) Track: Technical

    E-Print Network [OSTI]

    Session: Short-term forecasting of wind power (BT2.5) Track: Technical BEST PRACTICE IN THE USE) Armines / Ecole des Mines Short-term forecasting of wind power for about 48 hours in advance is an established technique by now. Any utility getting over a few percent wind power penetration is buying a system

  11. Short-Term Effects of Air Pollution on Wheeze in Asthmatic Children in Fresno, California

    E-Print Network [OSTI]

    2010-01-01T23:59:59.000Z

    of winter air pollution on respira- tory health of asthmaticChildrens Health Short-Term Effects of Air Pollution onEnvironmental Health Perspectives Effects of air pollution

  12. An Exploration of Participant Motives and Motivational Tensions in Short-Term Medical Service Trips

    E-Print Network [OSTI]

    Sykes, Kevin James

    2014-05-31T23:59:59.000Z

    Short-term medical service trips (MSTs) are an increasingly popular, although not new, way for healthcare providers from high-income countries (HICs) to provide healthcare in low- and middle-income countries (LMICs). In ...

  13. Short-term Migration, Rural Workfare Programs and Urban Labor Markets: Evidence from India

    E-Print Network [OSTI]

    Bandyopadhyay, Antar

    , a simple calibration exercise reveals that small changes in short-term migration can have large impacts of migration in developing countries (Banerjee and Duo, 2007; Badiani and Sar, 2009; Morten, 2012). In 2007

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

    E-Print Network [OSTI]

    Wickham, Richard Robert

    1995-01-01T23:59:59.000Z

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

  15. Short-term and long-term reliability studies in the deregulated power systems

    E-Print Network [OSTI]

    Li, Yishan

    2006-04-12T23:59:59.000Z

    -term reliability in deregulated power systems. Short-term reliability is for operational purposes and is mainly concerned with security. Thus the way energy is dispatched and the actions the system operator takes to remedy an insecure system state...

  16. Short-Term Energy Outlook Model Documentation: Petroleum Product Prices Module

    Reports and Publications (EIA)

    2015-01-01T23:59:59.000Z

    The petroleum products price module of the Short-Term Energy Outlook (STEO) model is designed to provide U.S. average wholesale and retail price forecasts for motor gasoline, diesel fuel, heating oil, and jet fuel.

  17. Short-term irradiance variability: Preliminary estimation of station pair correlation as a function of distance

    E-Print Network [OSTI]

    Review Short-term irradiance variability: Preliminary estimation of station pair correlation, 2010; SMUD, 2010; IEA, 2010). In a recently published article, Hoff and Perez (2010a,b) advanced

  18. SPE 124332 (revised) Hierarchical Long-Term and Short-Term Production Optimization

    E-Print Network [OSTI]

    Van den Hof, Paul

    . In our study we used a 3-dimensional reservoir in a fluvial depositional environment with a production at maximizing short-term production. The optimal life-cycle waterflooding strategy that includes short

  19. SHORT-TERM FORECASTING OF SOLAR RADIATION BASED ON SATELLITE DATA WITH STATISTICAL METHODS

    E-Print Network [OSTI]

    Heinemann, Detlev

    SHORT-TERM FORECASTING OF SOLAR RADIATION BASED ON SATELLITE DATA WITH STATISTICAL METHODS Annette governing the insolation, forecasting of solar radiation makes the description of development of the cloud

  20. Characterizing short-term stability for Boolean networks over any distribution of transfer functions

    E-Print Network [OSTI]

    C. Seshadhri; Andrew M. Smith; Yevgeniy Vorobeychik; Jackson Mayo; Robert C. Armstrong

    2014-09-15T23:59:59.000Z

    We present a characterization of short-term stability of random Boolean networks under \\emph{arbitrary} distributions of transfer functions. Given any distribution of transfer functions for a random Boolean network, we present a formula that decides whether short-term chaos (damage spreading) will happen. We provide a formal proof for this formula, and empirically show that its predictions are accurate. Previous work only works for special cases of balanced families. It has been observed that these characterizations fail for unbalanced families, yet such families are widespread in real biological networks.

  1. DOE/EIA-0202(85/1Q) Short-Term Energy Outlook Quarterly Projections

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"Click worksheet9,1,50022,3,,,,6,1,,781Title:DOBEIA-0202(83/4Q) Short-Term Energy3/P1Q) Short-Term Energy

  2. DOE/EIA-0202(85/2Q) Short-Term Energy Outlook

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"Click worksheet9,1,50022,3,,,,6,1,,781Title:DOBEIA-0202(83/4Q) Short-Term Energy3/P1Q) Short-Term

  3. DOE/EIA-0202(85/3Q) Short-Term Energy Outlook Quarterly Projections

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"Click worksheet9,1,50022,3,,,,6,1,,781Title:DOBEIA-0202(83/4Q) Short-Term Energy3/P1Q) Short-Term3Q)

  4. Managing Short-Term Electricity Contracts Under Uncertainty: A Minimax Approach

    E-Print Network [OSTI]

    Ahmed, Shabbir

    , the price of which follows supply and demand imbalances. Electricity prices, which were tightly controlled that occurred in the Midwest during the week of June 22, 1998, when the day-ahead electricity price departedManaging Short-Term Electricity Contracts Under Uncertainty: A Minimax Approach Samer Takriti

  5. Primal-Dual Interior Point Method Applied to the Short Term Hydroelectric Scheduling Including a

    E-Print Network [OSTI]

    Oliveira, Aurélio R. L.

    Primal-Dual Interior Point Method Applied to the Short Term Hydroelectric Scheduling Including that minimizes losses in the transmission and costs in the generation of a hydroelectric power system, formulated such perturbing parameter. Keywords-- Hydroelectric power system, Network flow, Predispatch, Primal-dual interior

  6. Short-term Forecasting of Offshore Wind Farm Production Developments of the Anemos Project

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Short-term Forecasting of Offshore Wind Farm Production ­ Developments of the Anemos Project J.a.brownsword@rl.ac.uk 6 Overspeed GmBH & Co.KG, 26129 Oldenburg, Germany Email: h.p.waldl@overspeed.de Key words: Offshore to the large dimensions of offshore wind farms, their electricity production must be known well in advance

  7. Interference of a short-term exposure to nitrogen dioxide with allergic airways responses to allergenic

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Interference of a short-term exposure to nitrogen dioxide with allergic airways responses, 4 (2002) 251-260" DOI : 10.1080/096293502900000113 #12;Abstract Nitrogen dioxide (NO2) is a common and may depend to concentration of pollutant. Keywords: Mouse model of asthma; nitrogen dioxide; air

  8. Ethical Considerations for Short-term Experiences by Trainees in Global Health

    E-Print Network [OSTI]

    Tipple, Brett

    -constrained health care set- tings, trainees from resource-replete environments may have inflated ideas aboutCOMMENTARY Ethical Considerations for Short-term Experiences by Trainees in Global Health John A. Crump, MB, ChB, DTM&H Jeremy Sugarman, MD, MPH, MA A CADEMIC GLOBAL HEALTH PROGRAMS ARE BURGEON- ing.1

  9. SHORT-TERM EFFECTS OF SOIL AMENDMENT WITH TREE LEGUME BIOMASS ON CARBON AND NITROGEN

    E-Print Network [OSTI]

    Lehmann, Johannes

    SHORT-TERM EFFECTS OF SOIL AMENDMENT WITH TREE LEGUME BIOMASS ON CARBON AND NITROGEN IN PARTICLE-to-N ratio of the added plant material seems to control the eects of soil amendment with tree legume biomass to the total quantity of C and N pre- sent. Physical fractionation of SOM can help to identify more active

  10. Status and evaluation of hybrid electric vehicle batteries for short term applications. Final report

    SciTech Connect (OSTI)

    Himy, A. [Westinghouse Electric Co., Pittsburgh, PA (United States). Machinery Technology Div.

    1995-07-01T23:59:59.000Z

    The objective of this task is to compile information regarding batteries which could be use for electric cars or hybrid vehicles in the short term. More specifically, this study applies lead-acid batteries and nickel-cadmium battery technologies which are more developed than the advanced batteries which are presently being investigated under USABC contracts and therefore more accessible in production efficiency and economies of scale. Moreover, the development of these batteries has advanced the state-of-the-art not only in terms of performance and energy density but also in cost reduction. The survey of lead-acid battery development took the biggest part of the effort, since they are considered more apt to be used in the short-term. Companies pursuing the advancement of lead-acid batteries were not necessarily the major automobile battery manufacturers. Innovation is found more in small or new companies. Other battery systems for short-term are discussed in the last part of this report. We will review the various technologies investigated, their status and prognosis for success in the short term.

  11. Short Term Hourly Load Forecasting Using Abductive Networks R. E. Abdel-Aal

    E-Print Network [OSTI]

    Abdel-Aal, Radwan E.

    Short Term Hourly Load Forecasting Using Abductive Networks R. E. Abdel-Aal Center for Applied for this purpose. This paper proposes using the alternative technique of abductive networks, which offers with statistical and empirical models. Using hourly temperature and load data for five years, 24 dedicated models

  12. SHORT TERM PREDICTIONS FOR THE POWER OUTPUT OF ENSEMBLES OF WIND TURBINES AND PV-GENERATORS

    E-Print Network [OSTI]

    Heinemann, Detlev

    SHORT TERM PREDICTIONS FOR THE POWER OUTPUT OF ENSEMBLES OF WIND TURBINES AND PV-GENERATORS Hans. For the conventional power park, the power production of the wind turbines presents a fluctuating 'negative load PRODUCTION OF WIND TURBINES For the forecast of the power production of wind turbines two approaches may

  13. A Dual Algorithm for the Short Term Power Production Planning with Network

    E-Print Network [OSTI]

    , with and without energy losses. In this model the variables are phase voltage angles and active power generated de Ingenier'ia, Montevideo, Uruguay 1 #12; 1 Introduction The demand of electric power in a country in savings of order of a million dollar per year in a medium size utility. Short term planning is performed

  14. Longitudinal Analysis of Short term Bronchiolitis Air Pollution Association using Semi Parametric Models

    E-Print Network [OSTI]

    Mesbah, Mounir

    pollution, semi parametric models. 1.1 Introduction Time-series studies of air pollution and health was an overestimation of the eect of air pollution on health. More recently, in a issue of Epidemiology, Ramsay et al1 Longitudinal Analysis of Short term Bronchiolitis Air Pollution Association using Semi Parametric

  15. Short-Term Throughput Maximization for Battery Limited Energy Harvesting Nodes

    E-Print Network [OSTI]

    Yener, Aylin

    for energy recharge. Under the assumption of an increasing concave power-rate relationship, the short completion time of a given amount of data were found for an energy harvesting node under the assumptionShort-Term Throughput Maximization for Battery Limited Energy Harvesting Nodes Kaya Tutuncuoglu

  16. A Hierarchical Bayesian Model for Improving Short-Term Forecasting of Hospital Demand by Including Meteorological

    E-Print Network [OSTI]

    Sahu, Sujit K

    A Hierarchical Bayesian Model for Improving Short-Term Forecasting of Hospital Demand by Including Sarran4 Abstract The effect of weather on health has been widely researched, and the ability to forecast, better predictions of hospital demand that are more sensitive to fluctuations in weather can allow

  17. Determining Long-Term Performance of Cool Storage Systems from Short-Term Tests, Final Report

    E-Print Network [OSTI]

    Reddy, T. A.; Elleson, J.; Haberl, J. S.

    2000-01-01T23:59:59.000Z

    This is the final report for ASHRAE Research Project 1004-RP: Determining Long-Term Performance of Cool Storage Systems from Short-Term Tests. This report presents the results of the development and application of the methodology to Case Study #2...

  18. Short term effects of moderate carbon prices on land use in the New Zealand emissions trading

    E-Print Network [OSTI]

    Silver, Whendee

    Short term effects of moderate carbon prices on land use in the New Zealand emissions trading Zealand Emissions Trading Scheme (NZ ETS) was introduced through the Climate Change Response Act............................................................................ 14 #12;1 1 Introduction The New Zealand Emissions Trading Scheme (NZ ETS) was legislated through

  19. Long-and Short-Term Climate Influences on Southwestern Shrublands

    E-Print Network [OSTI]

    -New findings raise questions about long and short-term climatic effects on Southwestern shrublands. Millennial encroachment acceler- ated during the 1950's drought, when both winters and summers went dry, and continues, NM. Gen. Tech. Rep. INT-GTR-338. Ogden, UT: u.s. Department of Agriculture, Forest Service

  20. Combination of Long Term and Short Term Forecasts, with Application to Tourism

    E-Print Network [OSTI]

    Abu-Mostafa, Yaser S.

    Combination of Long Term and Short Term Forecasts, with Application to Tourism Demand Forecasting that are combined. As a case study, we consider the problem of forecasting monthly tourism numbers for inbound tourism to Egypt. Specifically, we con- sider 33 source countries, as well as the aggregate. The novel

  1. PRIMARY RESEARCH PAPER Short-term responses of decomposers to flow restoration

    E-Print Network [OSTI]

    LeRoy, Carri J.

    most stream restoration projects, lack pre-restoration data and clearly defined goals, making et al., 2005; Bernhardt et al., 2005). Biotic recovery in response to stream restoration can be rapidPRIMARY RESEARCH PAPER Short-term responses of decomposers to flow restoration in Fossil Creek

  2. Short-term measurements for the determination of envelope retrofit performance

    SciTech Connect (OSTI)

    Subbarao, K.; Mort, D.; Burch, J.

    1985-06-01T23:59:59.000Z

    Short-term monitoring for estimating thermal parameters of a building, along with an analytical technique to (1) determine the long-term performance and (2) calculate the parameters from a building description, has many valuable applications, which include energy ratings, diagnostics, and retrofit analysis. In this paper we address issues relating to reducing uncertainties in estimating thermal parameters with emphasis on retrofit applications. In general, it is necessary to impose a known heat flow with a suitable profile to reliably estimate the parameters. This is demonstrated with test cell measurements taken before and after changes were made to the test cell. The eventual goal of this project is to develop a practical methodology to determine long-term retrofit performance from short-term tests.

  3. Performance and nutrient utilization of steers fed short term reconstituted grains

    E-Print Network [OSTI]

    Simpson, Edward James

    1982-01-01T23:59:59.000Z

    experiment. The ration's were composed on a dry basis of 86X grain and 14X of the same protein supplement used in the feeding experiment. Eight Beefmaster crossbred steers of the same origin and weight as those used in the growth trial were assigned...PERFORMANCE AND NUTRIENT UTILIZATION OF STEERS FED SHORT TERM RECONSTITUTED GRAINS A Thesis by EDWARD JAMES SIMPSON, JR. Submitted to the Graduate College of Texas ASM University in partial fulfillment of the requirement for the degree...

  4. Short term generation scheduling in photovoltaic-utility grid with battery storage

    SciTech Connect (OSTI)

    Marwali, M.K.C.; Ma, H.; Shahidehpour, S.M. [Illinois Inst. of Tech., Chicago, IL (United States). Dept. of Electrical and Computer Engineering] [Illinois Inst. of Tech., Chicago, IL (United States). Dept. of Electrical and Computer Engineering; Abdul-Rahman, K.H. [Siemens Energy and Automation, Brooklyn Park, MN (United States)] [Siemens Energy and Automation, Brooklyn Park, MN (United States)

    1998-08-01T23:59:59.000Z

    This paper presents an efficient approach to short term resource scheduling for an integrated thermal and photovoltaic-battery generation. The proposed model incorporated battery storage for peak load shaving. Several constraints including battery capacity, minimum up/down time and ramp rates for thermal units, as well as natural photovoltaic (PV) capacity are considered in the proposed model. A case study composed of 26 thermal units and a PV-battery plant is presented to test the efficiency of the method.

  5. Short-Term Energy Tests of a Credit Union Building in Idaho (Draft)

    SciTech Connect (OSTI)

    Subbarao, K.; Balcomb, J. D.

    1993-01-01T23:59:59.000Z

    This report describes tests and results of the energy performance of a credit union building in Idaho. The building is in the Energy Edge Program administered by the Bonneville Power Administration (BPA). BPA provided incentives to incorporate innovative features designed to conserve energy use by the building. It is of interest to determine the actual performance of these features. The objective of this project was to evaluate the applicability of the SERI short-term energy monitoring (STEM) method to nonresidential buildings.

  6. DSM savings verification through short-term pre-and-post energy monitoring at 90 facilities

    SciTech Connect (OSTI)

    Misuriello, H.

    1994-12-31T23:59:59.000Z

    This paper summarizes the DSM impact results obtained from short-term energy measurements performed at sites monitored as part of the Commercial, Industrial and Agricultural (CIA) Retrofit Incentives Evaluation Program sponsored by the Pacific Gas & Electric Company. The DSM measures include those typically found in these sectors; i.e., lighting, motors, irrigation pumps and HVAC modifications. The most important findings from the site measurements are the estimated annual energy and demand savings. Although there may be large differences of projected energy savings for individual sites, when viewed in the aggregate the total energy savings for the program were found to be fairly comparable to engineering estimates. This paper describes the lessons learned from attempting in-situ impact evaluations of DSM savings under both direct and custom rebate approaches. Impact parameters of interest include savings under both direct and custom rebate approaches. Impact parameters of interest include gross first-year savings and load shape impacts. The major method discussed in this paper is short-term before/after field monitoring of affected end-uses; however, the complete impact evaluation method also includes a billing analysis component and a hybrid statistical/engineering model component which relies, in part, on the short-term end-use data.

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

    SciTech Connect (OSTI)

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

    2014-05-01T23:59:59.000Z

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

  8. Short-term Wind Power Prediction for Offshore Wind Farms -Evaluation of Fuzzy-Neural Network Based Models

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Short-term Wind Power Prediction for Offshore Wind Farms - Evaluation of Fuzzy-Neural Network Based of wind power capacities are likely to take place offshore. As for onshore wind parks, short-term wind of offshore farms and their secure integration to the grid. Modeling the behavior of large wind farms

  9. ORIGINAL PAPER Short-term effect of tillage intensity on N2O and CO2 emissions

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    ORIGINAL PAPER Short-term effect of tillage intensity on N2O and CO2 emissions Pascal Boeckx negative to positive. We studied the short-term effect of tillage intensity on N2O and CO2 emissions. We site, an intermediately aerated Luvisol in Belgium, were similar. Nitrous oxide and CO2 emissions were

  10. DOBEIA-0202(83/4Q) Short-Term Energy Outlook Quarterly Projections

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"Click worksheet9,1,50022,3,,,,6,1,,781Title:DOBEIA-0202(83/4Q) Short-Term Energy Outlook Quarterly

  11. DOE/EIA-0202(84/1Q) Short-Term Energy Outlook Quarterly Projections

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"Click worksheet9,1,50022,3,,,,6,1,,781Title:DOBEIA-0202(83/4Q) Short-Term Energy3/P PRELIMINARY1Q)

  12. DOE/EIA-0202(84/2QH Short-Term Energy Outlook Quarterly Projections

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"Click worksheet9,1,50022,3,,,,6,1,,781Title:DOBEIA-0202(83/4Q) Short-Term Energy3/P PRELIMINARY1Q)2QH

  13. DOE/EIA-0202(84/3Q) Short-Term Energy Outlook

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"Click worksheet9,1,50022,3,,,,6,1,,781Title:DOBEIA-0202(83/4Q) Short-Term Energy3/P PRELIMINARY1Q)2QH3Q)

  14. DOE/EIA-0202(84/4Q) Short-Term Energy Outlook Quarterly Projections

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"Click worksheet9,1,50022,3,,,,6,1,,781Title:DOBEIA-0202(83/4Q) Short-Term Energy3/P

  15. DOE/EIA-0202(85/4Q) Short-Term Energy Outlook OBIS Quarterly

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"Click worksheet9,1,50022,3,,,,6,1,,781Title:DOBEIA-0202(83/4Q) Short-Term Energy3/P1Q)

  16. DOE/EIA-0202(87/1Q) Energy Information Administration Short-Term

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"Click worksheet9,1,50022,3,,,,6,1,,781Title:DOBEIA-0202(83/4Q) Short-Term Energy3/P1Q)6/1Q)7/1Q) Energy

  17. DOE/EIA-0202(87/2Q) Energy Information Administration Short-Term

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"Click worksheet9,1,50022,3,,,,6,1,,781Title:DOBEIA-0202(83/4Q) Short-Term Energy3/P1Q)6/1Q)7/1Q)

  18. DOE/EIA-0202(87/3Q) Energy Information Administration Short-Term

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"Click worksheet9,1,50022,3,,,,6,1,,781Title:DOBEIA-0202(83/4Q) Short-Term Energy3/P1Q)6/1Q)7/1Q)3Q)

  19. DOE/EIA-0202(87/4Q) Energy Information Administration Short-Term

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"Click worksheet9,1,50022,3,,,,6,1,,781Title:DOBEIA-0202(83/4Q) Short-Term Energy3/P1Q)6/1Q)7/1Q)3Q)4Q)

  20. DOE/EIA-0202(88/1Q) Energy Information Administration Short-Term

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"Click worksheet9,1,50022,3,,,,6,1,,781Title:DOBEIA-0202(83/4Q) Short-Term

  1. DOE/EIA-0202(88/2Q) Energy Information Administration Short-Term

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"Click worksheet9,1,50022,3,,,,6,1,,781Title:DOBEIA-0202(83/4Q) Short-Term2Q) Energy Information

  2. DOE/EIA-0202(88/3Q) Energy Information Administration Short-Term

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"Click worksheet9,1,50022,3,,,,6,1,,781Title:DOBEIA-0202(83/4Q) Short-Term2Q) Energy Information3Q)

  3. DOE/EIA-0202|83/2Q)-1 Short-Term Energy Outlook

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"Click worksheet9,1,50022,3,,,,6,1,,781Title:DOBEIA-0202(83/4Q) Short-Term2Q) Energy1Q) 1992 1

  4. Short-Term Energy Outlook - U.S. Energy Information Administration (EIA)

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"Click worksheet9,1,50022,3,,,,6,1,,781 2,328Administration (EIA)propanenaturalSpecialShort-Term

  5. Short-Term Energy Outlook - U.S. Energy Information Administration (EIA)

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"Click worksheet9,1,50022,3,,,,6,1,,781 2,328AdministrationRelease Schedule Release Date. The Short-Term

  6. Research on Short-term Load Forecasting of the Thermoelectric Boiler Based on a Dynamic RBF Neural Network

    E-Print Network [OSTI]

    Dai, W.; Zou, P.; Yan, C.

    2006-01-01T23:59:59.000Z

    As thermal inertia is the key factor for the lag of thermoelectric utility regulation, it becomes very important to forecast its short-term load according to running parameters. In this paper, dynamic radial basis function (RBF) neural network...

  7. Using futures prices to filter short-term volatility and recover a latent, long-term price series for oil

    E-Print Network [OSTI]

    Herce, Miguel Angel

    2006-01-01T23:59:59.000Z

    Oil prices are very volatile. But much of this volatility seems to reflect short-term,transitory factors that may have little or no influence on the price in the long run. Many major investment decisions should be guided ...

  8. The short-term effects of two chaining treatments on populations of Tabanus abactor Philip (Diptera: Tabanidae)

    E-Print Network [OSTI]

    Holmes, Steven Paul

    1998-01-01T23:59:59.000Z

    THE SHORT-TERM EFFECTS OF TWO CHAINING TREATMENTS ON POPULATIONS OF Tabanus abactor Philip (DIPTERA: TABANIDAE) A Thesis by STEVEN PAUL HOLMES Submitted to the Office of Graduate Studies of Texas AkM University in partial fulfillment... of the requirements For the degree of MASTER OF SCIENCE May 1998 Major Subject: Entomology THE SHORT-TERM EFFECTS OF TWO CHAINING TREATMENTS ON POPULATIONS OF Tabaaas abacrar Philip HIIPTERAt TABANIDAE) A Thesis STEVEN PAUL HOLMES Submitted to Texas Adt...

  9. Short term effects of commercial polychlorinated biphenyl (PCB) mixtures and individual PCB congeners in female Sprague-Dawley rats

    E-Print Network [OSTI]

    Chen, Yu-Chyu

    1992-01-01T23:59:59.000Z

    SHORT TERM EFFECTS OF COMMERCIAL POLYCHLORINATED BIPHENYL (PCB) MIXTURFS AND INDIVIDUAL PCB CONGENERS IN FEMALE SPRAGUE-DAWLEY RATS A Thesis by YU-CHYU CHEN Submitted to the Office of Graduate Studies of Texas A&M University in partial... fulfillment of the requirements for the degree of MASTER OF SCIENCE December 1992 Major subject: Toxicology SHORT TERM EFFECTS OF COMMERCIAL POLYCHLORINATED BIPHENYL (PCB) MIXTURES AND INDIVIDUAL PCB CONGENERS IN FEMALE SPRAGUE-DAWLEY RATS A Thesis...

  10. EVALUATING SHORT-TERM CLIMATE VARIABILITY IN THE LATE HOLOCENE OF THE NORTHERN GREAT PLAINS

    SciTech Connect (OSTI)

    Joseph H. Hartman

    1999-09-01T23:59:59.000Z

    This literature study investigated methods and areas to deduce climate change and climate patterns, looking for short-term cycle phenomena and the means to interpret them. Many groups are actively engaged in intensive climate-related research. Ongoing research might be (overly) simplified into three categories: (1) historic data on weather that can be used for trend analysis and modeling; (2) detailed geological, biological (subfossil), and analytical (geochemical, radiocarbon, etc.) studies covering the last 10,000 years (about since last glaciation); and (3) geological, paleontological, and analytical (geochemical, radiometric, etc.) studies over millions of years. Of importance is our ultimate ability to join these various lines of inquiry into an effective means of interpretation. At this point, the process of integration is fraught with methodological troubles and misconceptions about what each group can contribute. This project has met its goals to the extent that it provided an opportunity to study resource materials and consider options for future effort toward the goal of understanding the natural climate variation that has shaped our current civilization. A further outcome of this project is a proposed methodology based on ''climate sections'' that provides spatial and temporal correlation within a region. The method would integrate cultural and climate data to establish the climate history of a region with increasing accuracy with progressive study and scientific advancement (e. g., better integration of regional and global models). The goal of this project is to better understand natural climatic variations in the recent past (last 5000 years). The information generated by this work is intended to provide better context within which to examine global climate change. The ongoing project will help to establish a basis upon which to interpret late Holocene short-term climate variability as evidenced in various studies in the northern Great Plains, northern hemisphere, and elsewhere. Finally these data can be integrated into a history of climate change and predictive climate models. This is not a small undertaking. The goals of researchers and the methods used vary considerably. The primary task of this project was literature research to (1) evaluate existing methodologies used in geologic climate change studies and evidence for short-term cycles produced by these methodologies and (2) evaluate late Holocene climate patterns and their interpretations.

  11. Database Security: A Historical Perspective

    E-Print Network [OSTI]

    Lesov, Paul

    2010-01-01T23:59:59.000Z

    The importance of security in database research has greatly increased over the years as most of critical functionality of the business and military enterprises became digitized. Database is an integral part of any information system and they often hold sensitive data. The security of the data depends on physical security, OS security and DBMS security. Database security can be compromised by obtaining sensitive data, changing data or degrading availability of the database. Over the last 30 years the information technology environment have gone through many changes of evolution and the database research community have tried to stay a step ahead of the upcoming threats to the database security. The database research community has thoughts about these issues long before they were address by the implementations. This paper will examine the different topics pertaining to database security and see the adaption of the research to the changing environment. Some short term database research trends will be ascertained ...

  12. Economic Evaluation of Short-Term Wind Power Forecasts in ERCOT: Preliminary Results; Preprint

    SciTech Connect (OSTI)

    Orwig, K.; Hodge, B. M.; Brinkman, G.; Ela, E.; Milligan, M.; Banunarayanan, V.; Nasir, S.; Freedman, J.

    2012-09-01T23:59:59.000Z

    Historically, a number of wind energy integration studies have investigated the value of using day-ahead wind power forecasts for grid operational decisions. These studies have shown that there could be large cost savings gained by grid operators implementing the forecasts in their system operations. To date, none of these studies have investigated the value of shorter-term (0 to 6-hour-ahead) wind power forecasts. In 2010, the Department of Energy and National Oceanic and Atmospheric Administration partnered to fund improvements in short-term wind forecasts and to determine the economic value of these improvements to grid operators, hereafter referred to as the Wind Forecasting Improvement Project (WFIP). In this work, we discuss the preliminary results of the economic benefit analysis portion of the WFIP for the Electric Reliability Council of Texas. The improvements seen in the wind forecasts are examined, then the economic results of a production cost model simulation are analyzed.

  13. Estimating long-term mean winds from short-term wind data

    SciTech Connect (OSTI)

    Barchet, W.R.; Davis, W.E.

    1983-08-01T23:59:59.000Z

    The estimation of long-term mean winds from short-term data is especially important in the area of wind energy. It is desirable to obtain reliable estimates of the long-term wind speed from as short a period of on-site measurements as possible. This study examined seven different methods of estimating the long-term average wind speed and compared the performance of these techniques. Three linear, three weather pattern, and one eigenvector methods were compared for measurement periods ranging from 3 months to 36 months. Average errors, both relative and absolute, and the rms errors in the techniques were determined. The best technique for less than 12 months of measurement was the eigenvector method using weekly mean wind speeds. However, this method was only slightly better than the linear adjusted method. When 12 or more months of data were used, the difference in errors between techniques was found to be slight.

  14. Short-term Variations in the Galactic Environment of the Sun

    E-Print Network [OSTI]

    Priscilla C. Frisch; Jonathan D. Slavin

    2006-01-17T23:59:59.000Z

    The galactic environment of the Sun varies over short timescales as the Sun and interstellar clouds travel through space. Small variations in the dynamics, ionization, density, and magnetic field strength of the interstellar medium (ISM) surrounding the Sun yield pronounced changes in the heliosphere. We discuss essential information required to understand short-term variations in the galactic environment of the Sun, including the distribution and radiative transfer properties of nearby ISM, and variations in the boundary conditions of the heliosphere as the Sun traverses clouds. The most predictable transitions are when the Sun emerged from the Local Bubble interior and entered the cluster of local interstellar clouds flowing past the Sun, within the past 140,000 years, and again when the Sun entered the local interstellar cloud now surrounding and inside of the solar system, sometime during the past 44,000 years.

  15. A field study evaluation of short-term refined Gaussian dispersion models

    SciTech Connect (OSTI)

    Piper, A.

    1996-12-31T23:59:59.000Z

    A tracer study was conducted at the Duke Forest Site in Chapel Hill, North Carolina in January, 1995 to evaluate the ability of three short-term refined Gaussian dispersion models to predict the fate of volume source emissions under field study conditions. Study participants included the American Petroleum Institute (API), the US Environmental Protection Agency (EPA), the US Department of Energy (DOE), the University of North Carolina at Chapel Hill (UNC), and private consulting firms. The models evaluated were Industrial Source Complex--Short Term versions 2 and 3 (ISC2, ISC3) and the American Meteorological Society (AMS) Environmental Protection Agency (EPA) Regulatory Model Improvement Committee (AERMIC) model, AERMOD. All three models are based on the steady-state Gaussian plume dispersion equation, which predicts concentrations at downwind receptor locations when integrated over the distance between the source and receptor. Chemicals were released at known rates and measurements were taken at various points in the study field using Tedlar bag point sampling and open-path Fourier Transform infrared (OP-FTIR) monitoring. The study found that ISC and AERMOD underpredicted the measured concentrations for each dataset collected in the field study. ISC and AERMOD each underpredicted the OPFTIR dataset by a factor of approximately 1.6. ISC underpredicted the Tedlar{reg_sign} dataset by approximately 2.1, while AERMOD underpredicted by a factor of approximately 2.6. Regardless of source configuration or measurement technique used, under-prediction with respect to the measured concentration was consistently observed. This indicates that safety factors or other corrections may be necessary in predicting contaminant concentrations over the distances examined in this study, i.e., in the near field of less than 200 meters.

  16. Application of Ensemble Sensitivity Analysis to Observation Targeting for Short-term Wind Speed Forecasting

    SciTech Connect (OSTI)

    Zack, J; Natenberg, E; Young, S; Manobianco, J; Kamath, C

    2010-02-21T23:59:59.000Z

    The operators of electrical grids, sometimes referred to as Balancing Authorities (BA), typically make critical decisions on how to most reliably and economically balance electrical load and generation in time frames ranging from a few minutes to six hours ahead. At higher levels of wind power generation, there is an increasing need to improve the accuracy of 0- to 6-hour ahead wind power forecasts. Forecasts on this time scale have typically been strongly dependent on short-term trends indicated by the time series of power production and meteorological data from a wind farm. Additional input information is often available from the output of Numerical Weather Prediction (NWP) models and occasionally from off-site meteorological towers in the region surrounding the wind generation facility. A widely proposed approach to improve short-term forecasts is the deployment of off-site meteorological towers at locations upstream from the wind generation facility in order to sense approaching wind perturbations. While conceptually appealing, it turns out that, in practice, it is often very difficult to derive significant benefit in forecast performance from this approach. The difficulty is rooted in the fact that the type, scale, and amplitude of the processes controlling wind variability at a site change from day to day if not from hour to hour. Thus, a location that provides some useful forecast information for one time may not be a useful predictor a few hours later. Indeed, some processes that cause significant changes in wind power production operate predominantly in the vertical direction and thus cannot be monitored by employing a network of sensors at off-site locations. Hence, it is very challenging to determine the type of sensors and deployment locations to get the most benefit for a specific short-term forecast application. Two tools recently developed in the meteorological research community have the potential to help determine the locations and parameters to measure in order to get the maximum positive impact on forecast performance for a particular site and short-term look-ahead period. Both tools rely on the use of NWP models to assess the sensitivity of a forecast for a particular location to measurements made at a prior time (i.e. the look-ahead period) at points surrounding the target location. The fundamental hypothesis is that points and variables with high sensitivity are good candidates for measurements since information at those points are likely to have the most impact on the forecast for the desired parameter, location and look-ahead period. One approach is called the adjoint method (Errico and Vukicevic, 1992; Errico, 1997) and the other newer approach is known as Ensemble Sensitivity Analysis (ESA; Ancell and Hakim 2007; Torn and Hakim 2008). Both approaches have been tested on large-scale atmospheric prediction problems (e.g. forecasting pressure or precipitation over a relatively large region 24 hours ahead) but neither has been applied to mesoscale space-time scales of winds or any other variables near the surface of the earth. A number of factors suggest that ESA is better suited for short-term wind forecasting applications. One of the most significant advantages of this approach is that it is not necessary to linearize the mathematical representation of the processes in the underlying atmospheric model as required by the adjoint approach. Such a linearization may be especially problematic for the application of short-term forecasting of boundary layer winds in complex terrain since non-linear shifts in the structure of boundary layer due to atmospheric stability changes are a critical part of the wind power production forecast problem. The specific objective of work described in this paper is to test the ESA as a tool to identify measurement locations and variables that have the greatest positive impact on the accuracy of wind forecasts in the 0- to 6-hour look-ahead periods for the wind generation area of California's Tehachapi Pass during the warm (high generation) season. The paper is organized

  17. Short-Term Energy Monitoring (STEM): Application of the PSTAR method to a residence in Fredericksburg, Virginia

    SciTech Connect (OSTI)

    Subbarao, K.; Burch, J.D.; Hancock, C.E.; Lekov, A.; Balcomb, J.D.

    1988-09-01T23:59:59.000Z

    This report describes a project to assess the thermal quality of a residential building based on short-term tests during which a small number of data channels are measured. The project is called Short- Term Energy Monitoring (STEM). Analysis of the data provides extrapolation to long-term performance. The test protocol and analysis are based on a unified method for building simulations and short-term testing called Primary and Secondary Terms Analysis and Renormalization (PSTAR). In the PSTAR method, renormalized parameters are introduced for the primary terms such that the renormalized energy balance is best satisfied in the least squares sense; hence, the name PSTAR. The mathematical formulation of PSTAR is detailed in earlier reports. This report describes the short-term tests and data analysis performed using the PSTAR method on a residential building in Fredricksburg, Virginia. The results demonstrate the ability of the PSTAR method to provide a realistically complex thermal model of a building, and determine from short-term tests the statics as well as the dynamics of a building, including solar dynamics. 10 refs., 12 figs., 2 tabs.

  18. Daily/Hourly Hydrosystem Operation : How the Columbia River System Responds to Short-Term Needs.

    SciTech Connect (OSTI)

    Columbia River System Operation Review (U.S.)

    1994-02-01T23:59:59.000Z

    The System Operation Review, being conducted by the Bonneville Power Administration, the US Army Corps of Engineers, and the US Bureau of Reclamation, is analyzing current and potential future operations of the Columbia River System. One goal of the System Operations Review is to develop a new System Operation Strategy. The strategy will be designed to balance the many regionally and nationally important uses of the Columbia River system. Short-term operations address the dynamics that affect the Northwest hydro system and its multiple uses. Demands for electrical power and natural streamflows change constantly and thus are not precisely predictable. Other uses of the hydro system have constantly changing needs, too, many of which can interfere with other uses. Project operators must address various river needs, physical limitations, weather, and streamflow conditions while maintaining the stability of the electric system and keeping your lights on. It takes staffing around the clock to manage the hour-to-hour changes that occur and the challenges that face project operators all the time.

  19. Comparison of observed and predicted short-term tracer gas concentrations in the atmosphere

    SciTech Connect (OSTI)

    Cotter, S.J.; Miller, C.W.; Lin, W.C.T.

    1985-01-01T23:59:59.000Z

    The Savannah River Laboratory is in the process of conducting a series of atmospheric tracer studies. The inert gas sulfurhexafluoride is released from a height of 62 m for 15 min and concentrations in air are measured on sampling arcs up to 30 km downwind of the release point. Maximum 15 min. air concentrations from 14 of these tracer tests have been compared with the ground-level, centerline air concentration predicted with a Gaussian plume atmospheric transport model using eight different sets of atmospheric dispersion parameters. Preliminary analysis of the results from these comparisons indicates that the dispersion parameters developed at Juelich, West Germany, based on tracers released from a height of 50 m, give the best overall agreement between the predicted and observed values. The median value of the ratio of predicted to observed air concentrations for this set of parameters is 1.3, and the correlation coefficient between the log of the predictions and the log of the observations is 0.72. For the commonly used Pasquill-Gifford dispersion parameters, the values of these same statistics are 4.4 and 0.68, respectively. The Gaussian plume model is widely used to predict air concentrations resulting from short-term radionuclide release to the atmosphere. The results of comparisons such as these must be considered whenever the Gaussian model is used for such purposes. 22 references, 3 tables.

  20. Short-term and creep shear characteristics of a needlepunched thermally locked geosynthetic clay liner

    SciTech Connect (OSTI)

    Siebken, J.R. [National Seal Co., Galesburg, IL (United States). Technical Services; Swan, R.H. Jr.; Yuan, Z. [GeoSyntec Consultants, Atlanta, GA (United States). Soil-Geosynthetic Interaction Testing Lab.

    1997-11-01T23:59:59.000Z

    A series of constant-rate direct shear tests were conducted on a needlepunched thermally locked geosynthetic clay liner (GCL) in accordance with ASTM Test Method for Determining the Coefficient of Soil and Geosynthetic or Geosynthetic and Geosynthetic Friction by the Direct Shear Method (D 5321). The test results demonstrate that the needlepunched thermally locked reinforcing fibers provide substantial short-term shear strength to a GCL. However, there is a growing concern that the long-term shear strength to a GCL. However, there is a growing concern that the long-term shear strength of this type of GCL can be affected due to the potential of creep within the reinforcing fibers under sustained constant loads which occur in the field. An attempt was made to address this concern through an incrementally-loaded creep shear test conducted in a newly developed constant-load (creep) shear testing device. The results of the creep shear test to date show that the GCL has undergone relatively small shear displacements with incremental shear rates decreasing with time within each loading phase.

  1. Oxygenate Supply/Demand Balances in the Short-Term Integrated Forecasting Model (Released in the STEO March 1998)

    Reports and Publications (EIA)

    1998-01-01T23:59:59.000Z

    The blending of oxygenates, such as fuel ethanol and methyl tertiary butyl ether (MTBE), into motor gasoline has increased dramatically in the last few years because of the oxygenated and reformulated gasoline programs. Because of the significant role oxygenates now have in petroleum product markets, the Short-Term Integrated Forecasting System (STIFS) was revised to include supply and demand balances for fuel ethanol and MTBE. The STIFS model is used for producing forecasts in the Short-Term Energy Outlook. A review of the historical data sources and forecasting methodology for oxygenate production, imports, inventories, and demand is presented in this report.

  2. Comparative effects of sodium channel blockers in short term rat whole embryo culture

    SciTech Connect (OSTI)

    Nilsson, Mats F, E-mail: Mats.Nilsson@farmbio.uu.se [Department of Pharmaceutical Biosciences, Uppsala University (Sweden); Skld, Anna-Carin; Ericson, Ann-Christin; Annas, Anita; Villar, Rodrigo Palma [AstraZeneca R and D Sdertlje (Sweden); Cebers, Gvido [AstraZeneca R and D, iMed, 141 Portland Street, Cambridge, MA 02139 (United States); Hellmold, Heike; Gustafson, Anne-Lee [AstraZeneca R and D Sdertlje (Sweden); Webster, William S [Department of Anatomy and Histology, University of Sydney (Australia)

    2013-10-15T23:59:59.000Z

    This study was undertaken to examine the effect on the rat embryonic heart of two experimental drugs (AZA and AZB) which are known to block the sodium channel Nav1.5, the hERG potassium channel and the L-type calcium channel. The sodium channel blockers bupivacaine, lidocaine, and the L-type calcium channel blocker nifedipine were used as reference substances. The experimental model was the gestational day (GD) 13 rat embryo cultured in vitro. In this model the embryonic heart activity can be directly observed, recorded and analyzed using computer assisted image analysis as it responds to the addition of test drugs. The effect on the heart was studied for a range of concentrations and for a duration up to 3 h. The results showed that AZA and AZB caused a concentration-dependent bradycardia of the embryonic heart and at high concentrations heart block. These effects were reversible on washout. In terms of potency to cause bradycardia the compounds were ranked AZB > bupivacaine > AZA > lidocaine > nifedipine. Comparison with results from previous studies with more specific ion channel blockers suggests that the primary effect of AZA and AZB was sodium channel blockage. The study shows that the short-term rat whole embryo culture (WEC) is a suitable system to detect substances hazardous to the embryonic heart. - Highlights: Study of the effect of sodium channel blocking drugs on embryonic heart function We used a modified method rat whole embryo culture with image analysis. The drugs tested caused a concentration dependent bradycardia and heart block. The effect of drugs acting on multiple ion channels is difficult to predict. This method may be used to detect cardiotoxicity in prenatal development.

  3. Short-term effects of oestradiol, T3 or insulin infusions on plasma concentrations and estimated hepatic balances

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Short-term effects of oestradiol, T3 or insulin infusions on plasma concentrations and estimated infusions on interme- diary and hepatic metabolism were studied in 4 preruminant male calves fed milk replac/kg BW), infused during the first h after feeding. Metabolite concentrations were determined

  4. 1256 IEEE TRANSACTIONS ON POWER SYSTEMS, VOL. 18, NO. 4, NOVEMBER 2003 Short-Term Hydrothermal Generation Scheduling

    E-Print Network [OSTI]

    Catholic University of Chile (Universidad Catlica de Chile)

    long and mid-term models, have been used to optimize the amount of hydro energy to be used during1256 IEEE TRANSACTIONS ON POWER SYSTEMS, VOL. 18, NO. 4, NOVEMBER 2003 Short-Term Hydrothermal are obtained for each of both hydro and thermal units. Future cost curves of hydro generation, obtained from

  5. Volume 29, Issue 2 On the short-term influence of oil price changes on stock markets in gcc

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Volume 29, Issue 2 On the short-term influence of oil price changes on stock markets Rouen & LEO Abstract This paper examines the short-run relationships between oil prices and GCC stock to oil price shocks. To account for the fact that stock markets may respond nonlinearly to oil price

  6. IEEE TRANSACTIONS ON ENERGY CONVERSION, VOL. 24, NO. 1, MARCH 2009 125 Short-Term Prediction of Wind Farm Power

    E-Print Network [OSTI]

    Kusiak, Andrew

    IEEE TRANSACTIONS ON ENERGY CONVERSION, VOL. 24, NO. 1, MARCH 2009 125 Short-Term Prediction of Wind Farm Power: A Data Mining Approach Andrew Kusiak, Member, IEEE, Haiyang Zheng, and Zhe Song, Student Member, IEEE Abstract--This paper examines time series models for predicting the power of a wind

  7. PSTAR: Primary and secondary terms analysis and renormalization: A unified approach to building energy simulations and short-term monitoring

    SciTech Connect (OSTI)

    Subbarao, K.

    1988-09-01T23:59:59.000Z

    This report presents a unified method of hourly simulation of a building and analysis of performance data. The method is called Primary and Secondary Terms Analysis and Renormalization (PSTAR). In the PSTAR method, renormalized parameters are introduced for the primary terms such that the renormalized energy balance equation is best satisfied in the least squares sense, hence, the name PSTAR. PSTAR allows extraction of building characteristics from short-term tests on a small number of data channels. These can be used for long-term performance prediction (''ratings''), diagnostics, and control of heating, ventilating, and air conditioning systems (HVAC), comparison of design versus actual performance, etc. By combining realistic building models, simple test procedures, and analysis involving linear equations, PSTAR provides a powerful tool for analyzing building energy as well as testing and monitoring. It forms the basis for the Short-Term Energy Monitoring (STEM) project at SERI.

  8. Probabilistic wind power forecasting -European Wind Energy Conference -Milan, Italy, 7-10 May 2007 Probabilistic short-term wind power forecasting

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Probabilistic wind power forecasting - European Wind Energy Conference - Milan, Italy, 7-10 May 2007 Probabilistic short-term wind power forecasting based on kernel density estimators J´er´emie Juban jeremie.juban@ensmp.fr; georges.kariniotakis@ensmp.fr Abstract Short-term wind power forecasting tools

  9. Methodology for Analyzing Energy and Demand Savings From Energy Services Performance Contract Using Short-Term Data

    E-Print Network [OSTI]

    Liu, Z.; Haberl, J. S.; Cho, S.; Lynn, B.; Cook, M.

    2006-01-01T23:59:59.000Z

    ..iilJlf t '_:pUIltaD ? (e) (d) ? ? I I , , ., ? BJ ? AmmJl.thm:pIIILt1II:l ....iind?t.m'.m1R.Dl (,) (f) r ~ ~, ~I-----------'l,----------f .. AmmJl.thJII.:p1mt1ll:1 ., February 9, 2009 Energy Systems Laboratory 10 CONCLUSIONSCASE STUDIESMETHODOLOGY DEMAND SAVINGS...METHODOLOGY FOR ANALYZING ENERGY AND DEMAND SAVINGS FROM ENERGY SERVICES PERFORMANCE CONTRACT USING SHORT-TERM DATA Zi Liu, Jeff Haberl, Soolyeon Cho Energy Systems Laboratory Texas A&M University System College Station, TX 77843 Bobby...

  10. Modular High-Temperature Gas-Cooled Reactor short term thermal response to flow and reactivity transients

    SciTech Connect (OSTI)

    Cleveland, J.C.

    1988-01-01T23:59:59.000Z

    The analyses reported here have been conducted at the Oak Ridge National Laboratory (ORNL) for the US Nuclear Regulatory Commission's (NRC's) Division of Regulatory Applications of the Office of Nuclear Regulatory Research. The short-term thermal response of the Modular High-Temperature Gas-Cooled Reactor (MHTGR) is analyzed for a range of flow and reactivity transients. These include loss of forced circulation (LOFC) without scram, moisture ingress, spurious withdrawal of a control rod group, hypothetical large and rapid positive reactivity insertion, and a rapid core cooling event. The coupled heat transfer-neutron kinetics model is also described.

  11. Prediction of short-term and long-term VOC emissions from SBR bitumen-backed carpet under different temperatures

    SciTech Connect (OSTI)

    Yang, S.; Chen, Q. [Massachusetts Inst. of Tech., Cambridge, MA (United States). Building Technology Program; Bluyssen, P.M. [TNO Building and Construction Research, Delft (Netherlands)

    1998-12-31T23:59:59.000Z

    This paper presents two models for volatile organic compound (VOC) emissions from carpet. One is a numerical model using the computational fluid dynamics (CFD) technique for short-term predictions, the other an analytical model for long-term predictions. The numerical model can (1) deal with carpets that are not new, (2) calculate the time-dependent VOC distributions in a test chamber or room, and (3) consider the temperature effect on VOC emissions. Based on small-scale chamber data, both models were used to examine the VOC emissions under different temperatures from polypropene styrene-butadiene rubber (SBR) bitumen-backed carpet. The short-term predictions show that the VOC emissions under different temperatures can be modeled solely by changing the carpet diffusion coefficients. A formulation of the Arrhenius relation was used to correlate the dependence of carpet diffusion coefficient with temperature. The long-term predictions show that it would take several years to bake out the VOCs, and temperature would have a major impact on the bake-out time.

  12. Determining Long-Term Performance of Cool Storage Systems from Short-Term Tests; Literature Review and Site Selection, Nov. 1997 (Revised Feb. 1998)

    E-Print Network [OSTI]

    Haberl, J. S.; Claridge, D. E.; Reddy, T. A.; Elleson, J.

    1997-01-01T23:59:59.000Z

    This is the preliminary report contains the literature review and site selection recommendations for ASHRAE Research Project RP 1004 "Determining Long-term Performance of Cool Storage Systems From Short-term Tests"....

  13. Microstructural evolution of delta ferrite in SAVE12 steel under heat treatment and short-term creep

    SciTech Connect (OSTI)

    Li, Shengzhi, E-mail: lishengzhi@sjtu.edu.cn [School of Materials Science and Engineering, Shanghai Jiao Tong University, Shanghai 200240 (China)] [School of Materials Science and Engineering, Shanghai Jiao Tong University, Shanghai 200240 (China); Eliniyaz, Zumrat; Zhang, Lanting; Sun, Feng [School of Materials Science and Engineering, Shanghai Jiao Tong University, Shanghai 200240 (China)] [School of Materials Science and Engineering, Shanghai Jiao Tong University, Shanghai 200240 (China); Shen, Yinzhong [School of Nuclear Science and Engineering, Shanghai Jiao Tong University, Shanghai 200240 (China)] [School of Nuclear Science and Engineering, Shanghai Jiao Tong University, Shanghai 200240 (China); Shan, Aidang, E-mail: adshan@sjtu.edu.cn [School of Materials Science and Engineering, Shanghai Jiao Tong University, Shanghai 200240 (China)] [School of Materials Science and Engineering, Shanghai Jiao Tong University, Shanghai 200240 (China)

    2012-11-15T23:59:59.000Z

    This research focused on the formation and microstructural evolution of delta ferrite phase in SAVE12 steel. The formation of delta ferrite was due to the high content of ferrite forming alloy elements such as Cr, W, and Ta. This was interpreted through either JMatPro-4.1 computer program or Cr{sub eq} calculations. Delta ferrite was found in bamboo-like shape and contained large amount of MX phase. It was surrounded by Laves phases before creep or aging treatment. Annealing treatments were performed under temperatures from 1050 Degree-Sign C to 1100 Degree-Sign C and various time periods to study its dissolution kinetics. The result showed that most of the delta ferrite can be dissolved by annealing in single phase austenitic region. Dissolution process of delta ferrite may largely depend on dissolution kinetic factors, rather than on thermodynamic factors. Precipitation behavior during short-term (1100 h) creep was investigated at temperature of 600 Degree-Sign C under a stress of 180 MPa. The results demonstrated that delta ferrite became preferential nucleation sites for Laves phase at the early stage of creep. Laves phase on the boundary around delta ferrite showed relatively slower growth and coarsening rate than that inside delta ferrite. - Highlights: Black-Right-Pointing-Pointer Delta ferrite is systematically studied under heat treatment and short-term creep. Black-Right-Pointing-Pointer Delta ferrite contains large number of MX phase and is surrounded by Laves phases before creep or aging treatment. Black-Right-Pointing-Pointer Formation of delta ferrite is interpreted by theoretical and empirical methods. Black-Right-Pointing-Pointer Most of the delta ferrite is dissolved by annealing in single phase austenitic region. Black-Right-Pointing-Pointer Delta ferrite becomes preferential nucleation sites for Laves phase at the early stage of creep.

  14. Effects of various uranium leaching procedures on soil: Short-term vegetation growth and physiology. Progress report, April 1994

    SciTech Connect (OSTI)

    Edwards, N.T.

    1994-08-01T23:59:59.000Z

    Significant volumes of soil containing elevated levels of uranium exist in the eastern United States. The contamination resulted from the development of the nuclear industry in the United States requiring a large variety of uranium products. The contaminated soil poses a collection and disposal problem of a magnitude that justifies the development of decontamination methods. Consequently, the Department of Energy (DOE) Office of Technology Development formed the Uranium Soils Integrated Demonstration (USID) program to address the problem. The fundamental goal of the USID task group has been the selective extraction/leaching or removal of uranium from soil faster, cheaper, and safer than what can be done using current conventional technologies. The objective is to selectively remove uranium from soil without seriously degrading the soil`s physicochemical characteristics and without generating waste that is difficult to manage and/or dispose of. However, procedures developed for removing uranium from contaminated soil have involved harsh chemical treatments that affect the physicochemical properties of the soil. The questions are (1) are the changes in soil properties severe enough to destroy the soil`s capacity to support and sustain vegetation growth and survival? and (2) what amendments might be made to the leached soil to return it to a reasonable vegetation production capacity? This study examines the vegetation-support capacity of soil that had been chemically leached to remove uranium. The approach is to conduct short-term germination and phytotoxicity tests for evaluating soils after they are subjected to various leaching procedures followed by longer term pot studies on successfully leached soils that show the greatest capacity to support plant growth. This report details the results from germination and short-term phytotoxicity testing of soils that underwent a variety of leaching procedures at the bench scale at ORNL and at the pilot plant at Fernald.

  15. Apolipoprotein E Genotype-Dependent Paradoxical Short-Term Effects of {sup 56}Fe Irradiation on the Brain

    SciTech Connect (OSTI)

    Haley, Gwendolen E. [Department of Behavioral Neuroscience, Oregon Health and Science University, Portland, OR (United States) [Department of Behavioral Neuroscience, Oregon Health and Science University, Portland, OR (United States); Division of Neuroscience, Oregon National Primate Research Center, Beaverton, OR (United States); Villasana, Laura; Dayger, Catherine; Davis, Matthew J. [Department of Behavioral Neuroscience, Oregon Health and Science University, Portland, OR (United States)] [Department of Behavioral Neuroscience, Oregon Health and Science University, Portland, OR (United States); Raber, Jacob, E-mail: raberj@ohsu.edu [Department of Behavioral Neuroscience, Oregon Health and Science University, Portland, OR (United States) [Department of Behavioral Neuroscience, Oregon Health and Science University, Portland, OR (United States); Division of Neuroscience, Oregon National Primate Research Center, Beaverton, OR (United States); Department of Neurology, Oregon Health and Science University, Portland, OR (United States)

    2012-11-01T23:59:59.000Z

    Purpose: In humans, apolipoprotein E (apoE) is encoded by three major alleles ({epsilon}2, {epsilon}3, and {epsilon}4) and, compared to apoE3, apoE4 increases the risk of developing Alzheimer disease and cognitive impairments following various environmental challenges. Exposure to irradiation, including that of {sup 56}Fe, during space missions poses a significant risk to the central nervous system, and apoE isoform might modulate this risk. Methods and Materials: We investigated whether apoE isoform modulates hippocampus-dependent cognitive performance starting 2 weeks after {sup 56}Fe irradiation. Changes in reactive oxygen species (ROS) can affect cognition and are induced by irradiation. Therefore, after cognitive testing, we assessed hippocampal ROS levels in ex vivo brain slices, using the ROS-sensitive fluorescent probe, dihydroethidium (DHE). Brain levels of 3-nitrotyrosine (3-NT), CuZn superoxide dismutase (CuZnSOD), extracellular SOD, and apoE were assessed using Western blotting analysis. Results: In the water maze, spatial memory retention was impaired by irradiation in apoE2 and apoE4 mice but enhanced by irradiation in apoE3 mice. Irradiation reduced DHE-oxidation levels in the enclosed blade of the dentate gyrus and levels of 3-NT and CuZnSOD in apoE2 but not apoE3 or apoE4 mice. Finally, irradiation increased apoE levels in apoE3 but not apoE2 or apoE4 mice. Conclusions: The short-term effects of {sup 56}Fe irradiation on hippocampal ROS levels and hippocampus-dependent spatial memory retention are apoE isoform-dependent.

  16. Seismic Activity of the Earth, the Cosmological Vectorial Potential And Method of a Short-term Earthquakes Forecasting

    E-Print Network [OSTI]

    Yu. A. Baurov; Yu. A. Baurov; Yu. A. Baurov Jr.; A. A. Spitalnaya; A. A. Abramyan; V. A. Solodovnikov

    2008-08-20T23:59:59.000Z

    To the foundation of a principally new short-term forecasting method there has been laid down a theory of surrounding us world's creation and of physical vacuum as a result of interaction of byuons - discrete objects. The definition of the byuon contains the cosmological vector-potential A_g - a novel fundamental vector constant. This theory predicts a new anisotropic interaction of nature objects with the physical vacuum. A peculiar "tap" to gain new energy (giving rise to an earthquake) are elementary particles because their masses are proportional to the modulus of some summary potential A_sum that contains potentials of all known fields. The value of A_sum cannot be larger than the modulus of A_g. In accordance with the experimental results a new force associated with A_sum ejects substance from the area of the weakened A_sum along a conical formation with the opening of 100 +- 10 and the axis directed along the vector A_sum. This vector has the following coordinates in the second equatorial coordinate system: right ascension alpha = 293 +- 10, declination delta = 36 +- 10. Nearly 100% probability of an earthquake (earthquakes of 6 points strong and more by the Richter scale) arises when in the process of the earth rotation the zenith vector of a seismically dangerous region and/or the vectorial potential of Earth's magnetic fields are in a certain way oriented relative to the vector A_g. In the work, basic models and standard mechanisms of earthquakes are briefly considered, results of processing of information on the earthquakes in the context of global spatial anisotropy caused by the existence of the vector A_g, are presented, and an analysis of them is given.

  17. Determining Long-Term Performance of Cool Storage Systems from Short-Term Tests, Progress Report, 6-99, Revised 12-99

    E-Print Network [OSTI]

    Reddy, T. A.; Elleson, J.; Haberl, J. S.

    1999-01-01T23:59:59.000Z

    This is the Spring 1999 progress report on ASHRAE Research Project RP 1004: Determining Long-Term Performance of Cool Storage Systems from Short-Term Tests. This report presents an update concerning the work that has been accomplished since the June...

  18. > REPLACE THIS LINE WITH YOUR PAPER IDENTIFICATION NUMBER (DOUBLE-CLICK HERE TO EDIT) < 1 An Analytical Framework for Short-Term Resource

    E-Print Network [OSTI]

    markets, strategic behavior, capacity gaming. I. INTRODUCTION HE electric system is said to be reliable markets, is capacity. Since sellers need not offer all their capacity to serve the demand, they may engage An Analytical Framework for Short-Term Resource Adequacy in Competitive Electricity Markets Pablo A. Ruiz

  19. Estimation of original gas in place from short-term shut-in pressure data for commingled tight gas reservoirs with no crossflow

    E-Print Network [OSTI]

    Khuong, Chan Hung

    2012-06-07T23:59:59.000Z

    gas production (GP) under these circumstances. This research studies different empirical methods to estimate the original gas in place (OGIP) for one-layer or commingled two-layer tight gas reservoirs without crossflow, from short-term (72-hour) shut...

  20. European Wind Energy Conference & Exhibition EWEC 2003, Madrid, Spain. State-of-the-Art on Methods and Software Tools for Short-Term

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    European Wind Energy Conference & Exhibition EWEC 2003, Madrid, Spain. State-of-the-Art on Methods and Software Tools for Short-Term Prediction of Wind Energy Production G. Giebel*, L. Landberg, Risoe National Roskilde, Denmark Abstract: The installed wind energy capacity in Europe today is 20 GW, while

  1. A Methodology to Characterize Ideal Short-term Counting Conditions and Improve AADT Estimation Accuracy Using a Regression-based Correcting

    E-Print Network [OSTI]

    Bertini, Robert L.

    -established and robust with clear guidelines to collect short-term count data, to analyze data and develop annual average a statewide system of non-motorized data. From a planning point of view, a key measure of traffic volumes continuous counts comes from the AASHTO Guidelines for Traffic Data Programs, prepared in 1992 (AASHTO, 1992

  2. EIA Form-826 and EIA Form-861 Frequently Asked Questions (FAQs)

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs U.S.Wyoming Electricity Profile 2012 Table-

  3. An assay of duck hepatitis virus induced interferon, produced in duck embryo fibro-blasts which have experienced short term treatment with DDT

    E-Print Network [OSTI]

    Bauder, Richard Burgess

    1973-01-01T23:59:59.000Z

    AN ASSAY OP DUCK HEPATITIS VIRUS INDUCED INTERFERON, PRODUCED IN DUCK EMBRYO FIBROBLASTS WHICH HAVE EXPERIENCED SHORT TERM TREATMENT WITH DDT A Thesis by BURGESS BAUDER Submitted to the Graduate College of Texas A&M University in Partial... WITH DDT A Thesi. s by /'. ". " . "i BURGESS BAUDER Approved as to style and content by: (Chairm of Committee) (Head of Depar ent) (Member) (Member) (Member) August 1973 ABSTRACT An Assay of Duck Hepatitis Virus Induced Interferon, Produced...

  4. arXiv:1007.3122v2[q-bio.NC]30Jan2013 Robust Short-Term Memory without Synaptic

    E-Print Network [OSTI]

    Johnson, Samuel

    been stored in samuel.johnson@imperial.ac.uk 1 #12;our brains previously (not very credible). Here wearXiv:1007.3122v2[q-bio.NC]30Jan2013 Robust Short-Term Memory without Synaptic Learning Samuel Johnson1,2, , J. Marro3 , and Joaqu´in J. Torres3 1 Department of Mathematics, Imperial College London, SW

  5. PSTAR: Primary and secondary terms analysis and renormalization: A unified approach to building energy simulations and short-term monitoring: A summary

    SciTech Connect (OSTI)

    Subbarao, K.

    1988-09-01T23:59:59.000Z

    This report summarizes a longer report entitled PSTAR - Primary and Secondary Terms Analysis and Renormalization. A Unified Approach to Building Energy Simulations and Short-Term Monitoring. These reports highlight short-term testing for predicting long-term performance of residential buildings. In the PSTAR method, renormalized parameters are introduced for the primary terms such that the renormalized energy balance equation is best satisfied in the least squares sense; hence, the name PSTAR. Testing and monitoring the energy performance of buildings has several important applications, among them: extrapolation to long-term performance, refinement of design tools through feedback from comparing design versus actual parameters, building-as-a-calorimeter for heating, ventilating, and air conditioning (HVAC) diagnostics, and predictive load control. By combining realistic building models, simple test procedures, and analysis involving linear equations, PSTAR provides a powerful tool for analyzing building energy as well as testing and monitoring. It forms the basis for the Short-Term Energy Monitoring (STEM) project at SERI. 3 figs., 1 tab.

  6. Dynamic Load Balancing of Virtualized Database Services Using Hints and Load

    E-Print Network [OSTI]

    Kemper, Alfons

    server during runtime. Figure 1 shows the load curve of a typical interactive service. In the morningDynamic Load Balancing of Virtualized Database Services Using Hints and Load Forecasting Daniel-organizing infrastructures to react proactively. For this pur- pose we present two techniques: Short-term load forecasting

  7. BWRSAR (Boiling Water Reactor Severe Accident Response) calculations of reactor vessel debris pours for Peach Bottom short-term station blackout

    SciTech Connect (OSTI)

    Hodge, S.A.; Ott, L.J.

    1988-01-01T23:59:59.000Z

    This paper describes recent analyses performed by the BWR Severe Accident Technology (BWRSAT) Program at Oak Ridge National Laboratory to estimate the release of debris from the reactor vessel for the unmitigated short-term station blackout accident sequence. Calculations were performed with the BWR Severe Accident Response (BWRSAR) code and are based upon consideration of the Peach Bottom Atomic Power Station. The modeling strategies employed within BWRSAR for debris relocation within the reactor vessel are briefly discussed and the calculated events of the accident sequence, including details of the calculated debris pours, are presented. 4 refs., 13 figs., 3 tabs.

  8. Winchester/Camberley Homes New Construction Test House Design, Construction, and Short-Term Testing in a Mixed-Humid Climate

    SciTech Connect (OSTI)

    Mallav, D.; Wiehagen, J.; Wood, A.

    2012-10-01T23:59:59.000Z

    The NAHB Research Center partnered with production builder Winchester/Camberley Homes to build a DOE Building America New Construction Test House (NCTH). This single family, detached house, located in the mixed-humid climate zone of Silver Spring, MD, was completed in June 2011. The primary goal for this house was to improve energy efficiency by 30% over the Building America B10 benchmark by developing and implementing an optimized energy solutions package design that could be cost effectively and reliably constructed on a production basis using quality management practices. The intent of this report is to outline the features of this house, discuss the implementation of the energy efficient design, and report on short-term testing results. During the interactive design process of this project, numerous iterations of the framing, air sealing, insulation, and space conditioning systems were evaluated for energy performance, cost, and practical implementation. The final design featured numerous advanced framing techniques, high levels of insulation, and the HVAC system entirely within conditioned space. Short-term testing confirmed a very tight thermal envelope and efficient and effective heating and cooling. In addition, relevant heating, cooling, humidity, energy, and wall cavity moisture data will be collected and presented in a future long-term report.

  9. Short-Term Energy Outlook

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S. Natural GasquestionnairesquestionnairesGasA.San3 1

  10. Short-Term Energy Outlook

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S. Natural GasquestionnairesquestionnairesGasA.San3 1(STEO) Highlights

  11. Short-Term Energy Outlook

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S. Natural GasquestionnairesquestionnairesGasA.San3 1(STEO) Highlights 1

  12. Short-Term Energy Outlook

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S. Natural GasquestionnairesquestionnairesGasA.San3 1(STEO) Highlights

  13. Short-Term Energy Outlook

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S. Natural GasquestionnairesquestionnairesGasA.San3 1(STEO)

  14. Short-Term Energy Outlook

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S. Natural GasquestionnairesquestionnairesGasA.San3 1(STEO)(STEO)

  15. Short-Term Energy Outlook

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S. Natural GasquestionnairesquestionnairesGasA.San3 1(STEO)(STEO)June

  16. Short-Term Energy Outlook

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S. Natural GasquestionnairesquestionnairesGasA.San3 1(STEO)(STEO)June

  17. Short-Term Energy Outlook

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S. Natural GasquestionnairesquestionnairesGasA.San3

  18. Short-Term Energy Outlook

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S. Natural GasquestionnairesquestionnairesGasA.San34 1 October 2014

  19. Short-Term Energy Outlook

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"Click worksheet9,1,50022,3,,,,6,1,,781 2,328Administration (EIA)propanenatural

  20. Short-Term Energy Outlook

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"Click worksheet9,1,50022,3,,,,6,1,,781 2,328Administration (EIA)propanenatural

  1. Introduction to Database Database Systems Lecture 1

    E-Print Network [OSTI]

    Alechina, Natasha

    Introduction to Database Systems Database Systems Lecture 1 Natasha Alechina www.cs.nott.ac.uk/~nza/G51DBS #12;In this Lecture Course Information Databases and Database Systems Some History questions Format similar to previous years. #12;Textbook Recommended textbooks: `Database Systems

  2. INFRARED OBSERVATIONS OF THE MILLISECOND PULSAR BINARY J1023+0038: EVIDENCE FOR THE SHORT-TERM NATURE OF ITS INTERACTING PHASE IN 2000-2001

    SciTech Connect (OSTI)

    Wang, Xuebing; Wang, Zhongxiang [Key Laboratory for Research in Galaxies and Cosmology, Shanghai Astronomical Observatory, Chinese Academy of Sciences, 80 Nandan Road, Shanghai 200030 (China)] [Key Laboratory for Research in Galaxies and Cosmology, Shanghai Astronomical Observatory, Chinese Academy of Sciences, 80 Nandan Road, Shanghai 200030 (China); Morrell, Nidia [Las Campanas Observatory, Observatories of the Carnegie Institution of Washington, La Serena (Chile)] [Las Campanas Observatory, Observatories of the Carnegie Institution of Washington, La Serena (Chile)

    2013-02-20T23:59:59.000Z

    We report our multi-band infrared (IR) imaging of the transitional millisecond pulsar system J1023+0038, a rare pulsar binary known to have an accretion disk in 2000-2001. The observations were carried out with ground-based and space telescopes from near-IR to far-IR wavelengths. We detected the source in near-IR JH bands and Spitzer 3.6 and 4.5 {mu}m mid-IR channels. Combined with the previously reported optical spectrum of the source, the IR emission is found to arise from the companion star, with no excess emission detected in the wavelength range. Because our near-IR fluxes are nearly equal to those obtained by the 2MASS all-sky survey in 2000 February, the result indicates that the binary did not contain the accretion disk at the time, whose existence would have raised the near-IR fluxes to twice larger values. Our observations have thus established the short-term nature of the interacting phase seen in 2000-2001: the accretion disk existed for at most 2.5 yr. The binary was not detected by the WISE all-sky survey carried out in 2010 at its 12 and 22 {mu}m bands and our Herschel far-IR imaging at 70 and 160 {mu}m. Depending on the assumed properties of the dust, the resulting flux upper limits provide a constraint of <3 Multiplication-Sign 10{sup 22}-3 Multiplication-Sign 10{sup 25} g on the mass of the dust grains that possibly exist as the remnants of the previously seen accretion disk.

  3. NUCLEAR STRUCTURE DATABASE

    E-Print Network [OSTI]

    Firestone, R.B.

    2010-01-01T23:59:59.000Z

    CALIFORNIA NUCLEAR STRUCTURE DATABASE R. B. Firestone and E.11089 NUCLEAR STRUCTURE DATABASE by R.B. Firestone and E.iii- NUCLEAR STRUCTURE DATABASE R.B Firestone and E. Browne

  4. Database Management Certificate Program

    E-Print Network [OSTI]

    Rose, Michael R.

    Database Management Certificate Program DATABASE TECHNOLOGIES 13 Today, organizations in every to obtain general data analysis and management skills or apply both Oracle and Microsoft SQL Server database capabilities of relational databases in conjunction with the new "Big Data" management frameworks for data

  5. The EMIME Bilingual Database

    E-Print Network [OSTI]

    Wester, Mirjam

    2010-01-01T23:59:59.000Z

    This paper describes the collection of a bilingual database of Finnish/English and German/English data. In addition, the accents of the talkers in the database have been rated. English, German and Finnish listeners assessed the English, German...

  6. Hazard Analysis Database report

    SciTech Connect (OSTI)

    Niemi, B.J.

    1997-08-12T23:59:59.000Z

    This document describes and defines the Hazard Analysis Database for the Tank Waste Remediation System Final Safety Analysis Report.

  7. ORACLE CERTIFICATION Oracle Database

    E-Print Network [OSTI]

    Loudon, Catherine

    ORACLE CERTIFICATION Oracle Database Administration Certificate Program Train with the best. Get your Oracle Database Administration education from the number-one provider* of Oracle training-on, lab-based understanding of Oracle, the world's leading database platform, and long the product

  8. Database Encryption Luc Bouganim

    E-Print Network [OSTI]

    Paris-Sud XI, Universit de

    Database Encryption Luc Bouganim INRIA Rocquencourt Le Chesnay, FRANCE Luc.Bouganim@inria.fr Yanli GUO INRIA Rocquencourt Le Chesnay, FRANCE yanli.guo@inria.fr Related concepts and keywords Database security, Data confidentiality, Hardware Security Module Definition Database encryption refers to the use

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

    SciTech Connect (OSTI)

    Freedman, Jeffrey M.; Manobianco, John; Schroeder, John; Ancell, Brian; Brewster, Keith; Basu, Sukanta; Banunarayanan, Venkat; Hodge, Bri-Mathias; Flores, Isabel

    2014-04-30T23:59:59.000Z

    This Final Report presents a comprehensive description, findings, and conclusions for the Wind Forecast Improvement Project (WFIP)--Southern Study Area (SSA) work led by AWS Truepower (AWST). This multi-year effort, sponsored by the Department of Energy (DOE) and National Oceanographic and Atmospheric Administration (NOAA), focused on improving short-term (15-minute 6 hour) wind power production forecasts through the deployment of an enhanced observation network of surface and remote sensing instrumentation and the use of a state-of-the-art forecast modeling system. Key findings from the SSA modeling and forecast effort include: 1. The AWST WFIP modeling system produced an overall 10 20% improvement in wind power production forecasts over the existing Baseline system, especially during the first three forecast hours; 2. Improvements in ramp forecast skill, particularly for larger up and down ramps; 3. The AWST WFIP data denial experiments showed mixed results in the forecasts incorporating the experimental network instrumentation; however, ramp forecasts showed significant benefit from the additional observations, indicating that the enhanced observations were key to the model systems ability to capture phenomena responsible for producing large short-term excursions in power production; 4. The OU CAPS ARPS simulations showed that the additional WFIP instrument data had a small impact on their 3-km forecasts that lasted for the first 5-6 hours, and increasing the vertical model resolution in the boundary layer had a greater impact, also in the first 5 hours; and 5. The TTU simulations were inconclusive as to which assimilation scheme (3DVAR versus EnKF) provided better forecasts, and the additional observations resulted in some improvement to the forecasts in the first 1 3 hours.

  10. Database Description with SDM: A Semantic Database Model

    E-Print Network [OSTI]

    McLeod, Dennis

    Database Description with SDM: A Semantic Database Model MICHAEL HAMMER Massachusetts Institute of Technology and DENNIS McLEOD University of Southern California SDM is a high-level semantics-based database description and structuring formalism (database model) for databases. This database model is designed

  11. Database tool ASGARD: an open-access database of

    E-Print Network [OSTI]

    Extavour, Cassandra

    Database tool ASGARD: an open-access database of annotated transcriptomes for emerging model database, the Assembled Searchable Giant Arthropod Read Database (ASGARD). This database is a repository include search term auto-completion sug- gestions based on database content, the ability to download

  12. Testing Database-Centric Applications For Causes of Database Deadlocks

    E-Print Network [OSTI]

    Grechanik, Mark

    Testing Database-Centric Applications For Causes of Database Deadlocks Mark Grechanik, B. M. Mainul--Many organizations deploy applications that use databases by sending Structured Query Language (SQL) state- ments the same databases concurrently, database deadlocks routinely occur in these databases. Testing

  13. Short term accommodation and Bed and Breakfasts

    E-Print Network [OSTI]

    Kühn, Reimer

    hotels in central London. *Premier Inn County Hall Belvedere Road London SE1 7PB Website: http.indianymca.org Journey's ­ Kings Cross 54 ­ 58 Caledonian Road Kings Cross London N1 9DP Tel: 020 7833 3893 http.dovercastlehostel.com Ashlee House 261 ­ 265 Grays Inn Road Kings Cross London WC1X 8QT Tel: 020 7833 9400 Fax: 020 7833 9677

  14. Short-Term Farm Credit in Texas.

    E-Print Network [OSTI]

    Lee, Virgil P.

    1927-01-01T23:59:59.000Z

    .. 27.1 ............................................... For automob~les.. 7.8 For other purposes. ............................................. 4.5 Production: 1 60.6 A noticeable feature of this table is the relatively high percentage of loans...

  15. Comfort control for short-term occupancy

    E-Print Network [OSTI]

    Fountain, M.; Brager, G. S.; Arens, Edward A; Bauman, Fred; Benton, C.

    1994-01-01T23:59:59.000Z

    to a thermostat-controlled fan-coil unit i n each room. TheThe t y p i c a l fan-coil and w a l l units are i n this

  16. Umea University Education Short-Term Program

    E-Print Network [OSTI]

    Viglas, Anastasios

    refrigerators, freezers and kitchen utensils that you can share. The housing with IHO includes: · Private room

  17. August 2012 Short-Term Energy Outlook

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"Click worksheet9,1,50022,3,,,,6,1,,781Title: Telephone:shortOil and Natural8U.S.NA (Barrels per

  18. APPLICATION FORM Short term course on

    E-Print Network [OSTI]

    Srivastava, Kumar Vaibhav

    Address: Prof. Tapan K. Sengupta High Performance Computing Lab Department of Aerospace Venue : IIT Kanpur, Kanpur Organized by: High Performance Computing Lab, Dept. of Aerospace Engineering

  19. Short-Term Energy Outlook January 2014

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECS Survey Data9c : U.S. Regional Weather Data Either

  20. Short-Term Energy Outlook May 2014

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECS Survey Data9c : U.S. Regional Weather Data EitherMay 2014 1

  1. September 2012 Short-Term Energy Outlook

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S. Natural GasquestionnairesquestionnairesGasA.San Juan Montana Thrust

  2. Short Term Energy Outlook ,November 2002

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S. Natural GasquestionnairesquestionnairesGasA.San JuanGasData

  3. Short Term Energy Outlook ,October 2002

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S. Natural GasquestionnairesquestionnairesGasA.San JuanGasDataOctober

  4. Short Term Energy Outlook, December 2002

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S. Natural GasquestionnairesquestionnairesGasA.San

  5. Short-Term Energy Outlook April 2014

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S. Natural GasquestionnairesquestionnairesGasA.San34 1and Summer Fuels

  6. Short-Term Energy Outlook February 2014

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S. Natural GasquestionnairesquestionnairesGasA.San34 1and Summer Fuels4 1

  7. Short-Term Energy Outlook January 2014

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S. Natural GasquestionnairesquestionnairesGasA.San34 1and Summer Fuels4

  8. Short-Term Energy Outlook July 2013

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S. Natural GasquestionnairesquestionnairesGasA.San34 1and Summer Fuels41

  9. Short-Term Energy Outlook June 2013

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S. Natural GasquestionnairesquestionnairesGasA.San34 1and Summer Fuels411

  10. Short-Term Energy Outlook March 2014

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S. Natural GasquestionnairesquestionnairesGasA.San34 1and Summer

  11. Short-Term Energy Outlook May 2014

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S. Natural GasquestionnairesquestionnairesGasA.San34 1and Summer(STEO)

  12. Short-Term Energy Outlook September 2013

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S. Natural GasquestionnairesquestionnairesGasA.San34 1and

  13. Short-Term Energy Outlook September 2014

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S. Natural GasquestionnairesquestionnairesGasA.San34 1andOutlook

  14. Short-Term Energy Outlook April 2014

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

    -0.5 0.0 0.5 1.0 1.5 2013 2014 2015 OPEC countries North America Russia and Caspian Sea Latin America North Sea Other Non-OPEC World Crude Oil and Liquid Fuels Production Growth...

  15. Online short-term solar power forecasting

    SciTech Connect (OSTI)

    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

    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)

  16. 2010 Worldwide Gasification Database

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

    The 2010 Worldwide Gasification Database describes the current world gasification industry and identifies near-term planned capacity additions. The database lists gasification projects and includes information (e.g., plant location, number and type of gasifiers, syngas capacity, feedstock, and products). The database reveals that the worldwide gasification capacity has continued to grow for the past several decades and is now at 70,817 megawatts thermal (MWth) of syngas output at 144 operating plants with a total of 412 gasifiers.

  17. Hazard Analysis Database Report

    SciTech Connect (OSTI)

    GRAMS, W.H.

    2000-12-28T23:59:59.000Z

    The Hazard Analysis Database was developed in conjunction with the hazard analysis activities conducted in accordance with DOE-STD-3009-94, Preparation Guide for U S . Department of Energy Nonreactor Nuclear Facility Safety Analysis Reports, for HNF-SD-WM-SAR-067, Tank Farms Final Safety Analysis Report (FSAR). The FSAR is part of the approved Authorization Basis (AB) for the River Protection Project (RPP). This document describes, identifies, and defines the contents and structure of the Tank Farms FSAR Hazard Analysis Database and documents the configuration control changes made to the database. The Hazard Analysis Database contains the collection of information generated during the initial hazard evaluations and the subsequent hazard and accident analysis activities. The Hazard Analysis Database supports the preparation of Chapters 3 ,4 , and 5 of the Tank Farms FSAR and the Unreviewed Safety Question (USQ) process and consists of two major, interrelated data sets: (1) Hazard Analysis Database: Data from the results of the hazard evaluations, and (2) Hazard Topography Database: Data from the system familiarization and hazard identification.

  18. PATENTS OFFICE REGISTER DATABASE SEARCH

    E-Print Network [OSTI]

    Kansas, University of

    PATENTS OFFICE REGISTER & DATABASE SEARCH . Database Home PATENT REGISTER Status: Lapsed Grant No VERMEER MANUFACTURING COMPANY 2411 Highway 102 Pella, IA 50219 UNITED STATES OF AMERICA Address

  19. Nuclear Science References Database

    E-Print Network [OSTI]

    B. Pritychenko; E. B?tk; B. Singh; J. Totans

    2014-07-08T23:59:59.000Z

    The Nuclear Science References (NSR) database together with its associated Web interface, is the world's only comprehensive source of easily accessible low- and intermediate-energy nuclear physics bibliographic information for more than 210,000 articles since the beginning of nuclear science. The weekly-updated NSR database provides essential support for nuclear data evaluation, compilation and research activities. The principles of the database and Web application development and maintenance are described. Examples of nuclear structure, reaction and decay applications are specifically included. The complete NSR database is freely available at the websites of the National Nuclear Data Center http://www.nndc.bnl.gov/nsr and the International Atomic Energy Agency http://www-nds.iaea.org/nsr.

  20. USER'S GUIDE DATABASE SYSTEM

    E-Print Network [OSTI]

    server and runs on the PPPL VAX cluster under VMS. The MINGL database system for TFTR is composed on the VAX. This document describes the overall system in terms of how the various parts interact

  1. ARTI Refrigerant Database

    SciTech Connect (OSTI)

    Calm, J.M. [Calm (James M.), Great Falls, VA (United States)

    1994-05-27T23:59:59.000Z

    The Refrigerant Database consolidates and facilitates access to information to assist industry in developing equipment using alternative refrigerants. The underlying purpose is to accelerate phase out of chemical compounds of environmental concern.

  2. Crude Oil Analysis Database

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

    Shay, Johanna Y.

    The composition and physical properties of crude oil vary widely from one reservoir to another within an oil field, as well as from one field or region to another. Although all oils consist of hydrocarbons and their derivatives, the proportions of various types of compounds differ greatly. This makes some oils more suitable than others for specific refining processes and uses. To take advantage of this diversity, one needs access to information in a large database of crude oil analyses. The Crude Oil Analysis Database (COADB) currently satisfies this need by offering 9,056 crude oil analyses. Of these, 8,500 are United States domestic oils. The database contains results of analysis of the general properties and chemical composition, as well as the field, formation, and geographic location of the crude oil sample. [Taken from the Introduction to COAMDATA_DESC.pdf, part of the zipped software and database file at http://www.netl.doe.gov/technologies/oil-gas/Software/database.html] Save the zipped file to your PC. When opened, it will contain PDF documents and a large Excel spreadsheet. It will also contain the database in Microsoft Access 2002.

  3. The GLIMS Glacier Database: a spatio-temporal database

    E-Print Network [OSTI]

    Raup, Bruce H.

    The GLIMS Glacier Database: a spatio-temporal database implemented using Open Source tools Bruce countries #12;#12;#12;#12;#12;System components PostgreSQL (relational database) PostGIS (geospatial) GDAL (Geospatial Data Abstraction Library) Perl, PHP, Shapelib, ... #12;GLIMS Glacier Database System

  4. Database Sampling with Functional Dependencies

    E-Print Network [OSTI]

    Riera, Jess Bisbal

    Database Sampling with Functional Dependencies Jesus Bisbal, Jane Grimson Department of Computer there is a need to prototype the database which the applications will use when in operation. A prototype database can be built by sampling data from an existing database. Including relevant semantic information when

  5. National Ambient Radiation Database

    SciTech Connect (OSTI)

    Dziuban, J.; Sears, R.

    2003-02-25T23:59:59.000Z

    The U.S. Environmental Protection Agency (EPA) recently developed a searchable database and website for the Environmental Radiation Ambient Monitoring System (ERAMS) data. This site contains nationwide radiation monitoring data for air particulates, precipitation, drinking water, surface water and pasteurized milk. This site provides location-specific as well as national information on environmental radioactivity across several media. It provides high quality data for assessing public exposure and environmental impacts resulting from nuclear emergencies and provides baseline data during routine conditions. The database and website are accessible at www.epa.gov/enviro/. This site contains (1) a query for the general public which is easy to use--limits the amount of information provided, but includes the ability to graph the data with risk benchmarks and (2) a query for a more technical user which allows access to all of the data in the database, (3) background information on ER AMS.

  6. ARTI Refrigerant Database

    SciTech Connect (OSTI)

    Calm, J.M.

    1992-04-30T23:59:59.000Z

    The Refrigerant Database consolidates and facilitates access to information to assist industry in developing equipment using alternative refrigerants. The underlying purpose is to accelerate phase out of chemical compounds of environmental concern. The database provides bibliographic citations and abstracts for publications that may be useful in research and design of air- conditioning and refrigeration equipment. The complete documents are not included, though some may be added at a later date. The database identifies sources of specific information on R-32, R-123, R-124, R- 125, R-134a, R-141b, R142b, R-143a, R-152a, R-290 (propane), R-717 (ammonia), ethers, and others as well as azeotropic and zeotropic blends of these fluids. It addresses polyalkylene glycol (PAG), ester, and other lubricants. It also references documents addressing compatibility of refrigerants and lubricants with metals, plastics, elastomers, motor insulation, and other materials used in refrigerant circuits.

  7. Short-Term Exchange Financial Statement Non-degree, Short-Term, Special Students

    E-Print Network [OSTI]

    for tuition with the estimated cost of your program. Do the same for each category A-G even if you to discuss Visa alternatives. STUDENT INFORMATION LAST/FAMILY NAME, capitalized First/Given Name Middle Name information regarding health insurance visit the ISSS website at http://www.vanderbilt.edu/isss/resources

  8. Relational Database SQL: Querying the Relational DB

    E-Print Network [OSTI]

    Qiu, Weigang

    : auto-completion and command history Weigang Qiu Relational Database & SQL #12;Relational Database SQLRelational Database SQL: Querying the Relational DB Workshop: the "genome" Database Relational Database & SQL Weigang Qiu Department of Biological Sciences Hunter College BIOL 425 Computational

  9. AN OVERVIEW ON DATABASESAN OVERVIEW ON DATABASES What is a Database?What is a Database?

    E-Print Network [OSTI]

    Schweik, Charles M.

    3/22/2011 1 1 AN OVERVIEW ON DATABASESAN OVERVIEW ON DATABASES C. Schweik 2 What is a Database?What is a Database? A well organized collection of data that are related in a meaningful way. Data can be accessed, structured and shared. #12;3/22/2011 2 3 Data in Database SystemsData in Database Systems should be:should be

  10. The CEBAF Element Database

    SciTech Connect (OSTI)

    Theodore Larrieu, Christopher Slominski, Michele Joyce

    2011-03-01T23:59:59.000Z

    With the inauguration of the CEBAF Element Database (CED) in Fall 2010, Jefferson Lab computer scientists have taken a step toward the eventual goal of a model-driven accelerator. Once fully populated, the database will be the primary repository of information used for everything from generating lattice decks to booting control computers to building controls screens. A requirement influencing the CED design is that it provide access to not only present, but also future and past configurations of the accelerator. To accomplish this, an introspective database schema was designed that allows new elements, types, and properties to be defined on-the-fly with no changes to table structure. Used in conjunction with Oracle Workspace Manager, it allows users to query data from any time in the database history with the same tools used to query the present configuration. Users can also check-out workspaces to use as staging areas for upcoming machine configurations. All Access to the CED is through a well-documented Application Programming Interface (API) that is translated automatically from original C++ source code into native libraries for scripting languages such as perl, php, and TCL making access to the CED easy and ubiquitous.

  11. DATABASE SECURITY APPLICATIONS

    E-Print Network [OSTI]

    Sandhu, Ravi

    DATABASE SECURITY #12;APPLICATIONS #12;Polyinstantiation for Cover Stories Ravi S. Sandhu and Sushil Jajodia* Center for Secure Information Systems & Department of Information and Software Systems Engineering George Mason University Falffax, VA 22030, USA emaih {sandhu, jajodia}Qsitevax.gmu.edu Abstract

  12. Science & Engineering Engineering Databases

    E-Print Network [OSTI]

    Hampton, Randy

    -present. Good for computers, electronics, biomedical, control, electrical and ocean engineering, physics9/09 DK,DS Science & Engineering Library Engineering Databases How to search the engineering initials Special features: Limit to peer-reviewed journals Compendex [Engineering Index] 1884-present

  13. High Performance Buildings Database

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

    The High Performance Buildings Database is a shared resource for the building industry, a unique central repository of in-depth information and data on high-performance, green building projects across the United States and abroad. The database includes information on the energy use, environmental performance, design process, finances, and other aspects of each project. Members of the design and construction teams are listed, as are sources for additional information. In total, up to twelve screens of detailed information are provided for each project profile. Projects range in size from small single-family homes or tenant fit-outs within buildings to large commercial and institutional buildings and even entire campuses. The database is a data repository as well. A series of Web-based data-entry templates allows anyone to enter information about a building project into the database. Once a project has been submitted, each of the partner organizations can review the entry and choose whether or not to publish that particular project on its own Web site.

  14. March 24, 2008 Databases: Security 1 Database Security and Authorization

    E-Print Network [OSTI]

    Adam, Salah

    to control login process by the DBMS Inference control The countermeasures to statistical database security database #12;March 24, 2008 Databases: Security 3 Chapter Outline Introduction Access Control Methods Policy System-related Security levels and categories Security Threats Loss of integrity Loss

  15. The EMIME Mandarin Bilingual Database

    E-Print Network [OSTI]

    Wester, Mirjam; Liang, Hui

    2011-01-01T23:59:59.000Z

    This paper describes the collection of a bilingual database of Mandarin/English data. In addition, the accents of the talkers in the database have been rated. English and Mandarin listeners assessed the English and Mandarin talkers' degree...

  16. A Case for Database Filesystems

    SciTech Connect (OSTI)

    Adams, P A; Hax, J C

    2009-05-13T23:59:59.000Z

    Data intensive science is offering new challenges and opportunities for Information Technology and traditional relational databases in particular. Database filesystems offer the potential to store Level Zero data and analyze Level 1 and Level 3 data within the same database system [2]. Scientific data is typically composed of both unstructured files and scalar data. Oracle SecureFiles is a new database filesystem feature in Oracle Database 11g that is specifically engineered to deliver high performance and scalability for storing unstructured or file data inside the Oracle database. SecureFiles presents the best of both the filesystem and the database worlds for unstructured content. Data stored inside SecureFiles can be queried or written at performance levels comparable to that of traditional filesystems while retaining the advantages of the Oracle database.

  17. ARTI Refrigerant Database

    SciTech Connect (OSTI)

    Calm, J.M.

    1992-11-09T23:59:59.000Z

    The database provides bibliographic citations and abstracts for publications that may be useful in research and design of air- conditioning and refrigeration equipment. The database identifies sources of specific information on R-32, R-123, R-124, R-125, R-134, R-134a, R-141b, R-142b, R-143a, R-152a, R-245ca, R-290 (propane), R- 717 (ammonia), ethers, and others as well as azeotropic and zeotropic and zeotropic blends of these fluids. It addresses lubricants including alkylbenzene, polyalkylene glycol, ester, and other synthetics as well as mineral oils. It also references documents on compatibility of refrigerants and lubricants with metals, plastics, elastomers, motor insulation, and other materials used in refrigerant circuits. A computerized version is available that includes retrieval software.

  18. ARTI refrigerant database

    SciTech Connect (OSTI)

    Calm, J.M.

    1996-11-15T23:59:59.000Z

    The Refrigerant Database is an information system on alternative refrigerants, associated lubricants, and their use in air conditioning and refrigeration. It consolidates and facilitates access to property, compatibility, environmental, safety, application and other information. It provides corresponding information on older refrigerants, to assist manufacturers and those using alternative refrigerants, to make comparisons and determine differences. The underlying purpose is to accelerate phase out of chemical compounds of environmental concern.

  19. ARTI refrigerant database

    SciTech Connect (OSTI)

    Calm, J.M. [Calm (James M.), Great Falls, VA (United States)

    1999-01-01T23:59:59.000Z

    The Refrigerant Database is an information system on alternative refrigerants, associated lubricants, and their use in air conditioning and refrigeration. It consolidates and facilities access to property, compatibility, environmental, safety, application and other information. It provides corresponding information on older refrigerants, to assist manufacturers and those using alternative refrigerants, to make comparisons and determine differences. The underlying purpose is to accelerate phase out of chemical compounds of environmental concern.

  20. ARTI refrigerant database

    SciTech Connect (OSTI)

    Calm, J.M.

    1996-07-01T23:59:59.000Z

    The Refrigerant Database is an information system on alternative refrigerants, associated lubricants, and their use in air conditioning and refrigeration. It consolidates and facilitates access to property, compatibility, environmental, safety, application and other information. It provides corresponding information on older refrigerants, to assist manufacturers and those using alternative refrigerants, to make comparisons and determine differences. The underlying purpose is to accelerate phase out of chemical compounds of environmental concern.

  1. A Noisy 10GB Provenance Database

    E-Print Network [OSTI]

    Cheah, You-Wei

    2013-01-01T23:59:59.000Z

    Workload The provenance database is generated from theperformance of the provenance database generation process tox-axis). Figure 4 shows the database being populated with

  2. DATABASE FOR PREMATURE CONCRETE DETERIORATION

    E-Print Network [OSTI]

    Texas at Austin, University of

    0-4085-P3 DATABASE FOR PREMATURE CONCRETE DETERIORATION Author: Kevin J. Folliard Project 0. This product presents the architecture for a database to collect relevant information on materials and mixture in developing and populating various materials- and structures-specific databases for both new concrete

  3. Mathematics Database ZMATH MSC 2000

    E-Print Network [OSTI]

    Kutateladze, Semen Samsonovich

    Reviewer Service Subscription »ZMATH« ZMATH Database | Advanced Search Print ZMATH Database Simple Search Advanced Search Command Search Advanced Search Query: an:0852.4600 Fill in the form and click »SearchLanguage: English Search: ZMATH Contact World of Mathematics Database »ZMATH« MSC 2000 MSC 2010

  4. ARTI refrigerant database

    SciTech Connect (OSTI)

    Calm, J.M. [Calm (James M.), Great Falls, VA (United States)

    1998-08-01T23:59:59.000Z

    The Refrigerant Database is an information system on alternative refrigerants, associated lubricants, and their use in air conditioning and refrigeration. It consolidates and facilitates access to property, compatibility, environmental, safety, application and other information. It provides corresponding information on older refrigerants, to assist manufactures and those using alternative refrigerants, to make comparisons and determine differences. The underlying purpose is to accelerate phase out of chemical compounds of environmental concern. The database provides bibliographic citations and abstracts for publications that may be useful in research and design of air-conditioning and refrigeration equipment. The complete documents are not included, though some may be added at a later date. The database identifies sources of specific information on many refrigerants including propane, ammonia, water, carbon dioxide, propylene, ethers, and others as well as azeotropic and zeotropic blends of these fluids. It addresses lubricants including alkylbenzene, polyalkylene glycol, polyolester, and other synthetics as well as mineral oils. It also references documents addressing compatibility of refrigerants and lubricants with metals, plastics, elastomers, motor insulation, and other materials used in refrigerant circuits. Incomplete citations or abstracts are provided for some documents. They are included to accelerate availability of the information and will be completed or replaced in future updates.

  5. ARTI Refrigerant Database

    SciTech Connect (OSTI)

    Cain, J.M. (Calm (James M.), Great Falls, VA (United States))

    1993-04-30T23:59:59.000Z

    The Refrigerant Database consolidates and facilitates access to information to assist industry in developing equipment using alternative refrigerants. The underlying purpose is to accelerate phase out of chemical compounds of environmental concern. The database provides bibliographic citations and abstracts for publications that may be useful in research and design of air-conditioning and refrigeration equipment. The complete documents are not included. The database identifies sources of specific information on R-32, R-123, R-124, R-125, R-134, R-134a, R-141b, R-142b, R-143a, R-152a, R-245ca, R-290 (propane), R-717 (ammonia), ethers, and others as well as azeotropic and zeotropic blends of these fluids. It addresses lubricants including alkylbenzene, polyalkylene glycol, ester, and other synthetics as well as mineral oils. It also references documents addressing compatibility of refrigerants and lubricants with metals, plastics, elastomers, motor insulation, and other materials used in refrigerant circuits. Incomplete citations or abstracts are provided for some documents to accelerate availability of the information and will be completed or replaced in future updates.

  6. ARTI refrigerant database

    SciTech Connect (OSTI)

    Calm, J.M. [Calm (James M.), Great Falls, VA (United States)] [Calm (James M.), Great Falls, VA (United States)

    1996-04-15T23:59:59.000Z

    The Refrigerant Database is an information system on alternative refrigerants, associated lubricants, and their use in air conditioning and refrigeration. It consolidates and facilitates access to property, compatibility, environmental, safety, application and other information. It provides corresponding information on older refrigerants, to assist manufacturers and those using alternative refrigerants, to make comparisons and determine differences. The underlying purpose is to accelerate phase out of chemical compounds of environmental concern. The database provides bibliographic citations and abstracts for publications that may be useful in research and design of air-conditioning and refrigeration equipment. The complete documents are not included, though some may be added at a later date. The database identifies sources of specific information on refrigerants. It addresses lubricants including alkylbenzene, polyalkylene glycol, polyolester, and other synthetics as well as mineral oils. It also references documents addressing compatibility of refrigerants and lubricants with metals, plastics, elastomers, motor insulation, and other materials used in refrigerant circuits. Incomplete citations or abstracts are provided for some documents. They are included to accelerate availability of the information and will be completed or replaced in future updates. Citations in this report are divided into the following topics: thermophysical properties; materials compatibility; lubricants and tribology; application data; safety; test and analysis methods; impacts; regulatory actions; substitute refrigerants; identification; absorption and adsorption; research programs; and miscellaneous documents. Information is also presented on ordering instructions for the computerized version.

  7. ARTI refrigerant database

    SciTech Connect (OSTI)

    Calm, J.M.

    1997-02-01T23:59:59.000Z

    The Refrigerant Database is an information system on alternative refrigerants, associated lubricants, and their use in air conditioning and refrigeration. It consolidates and facilitates access to property, compatibility, environmental, safety, application and other information. It provides corresponding information on older refrigerants, to assist manufacturers and those using alterative refrigerants, to make comparisons and determine differences. The underlying purpose is to accelerate phase out of chemical compounds of environmental concern. The database provides bibliographic citations and abstracts for publications that may be useful in research and design of air-conditioning and refrigeration equipment. The complete documents are not included, though some may be added at a later date. The database identifies sources of specific information on various refrigerants. It addresses lubricants including alkylbenzene, polyalkylene glycol, polyolester, and other synthetics as well as mineral oils. It also references documents addressing compatibility of refrigerants and lubricants with metals, plastics, elastomers, motor insulation, and other materials used in refrigerant circuits. Incomplete citations or abstracts are provided for some documents. They are included to accelerate availability of the information and will be completed or replaced in future updates.

  8. Databases | Department of Energy

    Office of Environmental Management (EM)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelinesProvedDecember 2005Department ofDOE AccidentWaste IsolationDashboards DashboardsDatabases

  9. Pathogen Research Databases

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary)morphinanInformation Desert Southwest RegionatSearch Welcome to the PacificCollaboration » Pathogen Databases

  10. ARM Publications Database

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsruc Documentation RUCProductstwrmrAre the Effects of Global Warming?8 Apr 2015DatabaseSearchTips

  11. Webinar: Hydrogen Storage Materials Database Demonstration |...

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

    Storage Materials Database Demonstration Webinar: Hydrogen Storage Materials Database Demonstration Presentation slides from the Fuel Cell Technologies Office webinar "Hydrogen...

  12. National Residential Efficiency Measures Database Webinar Slides...

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

    National Residential Efficiency Measures Database Webinar Slides National Residential Efficiency Measures Database Webinar Slides Presentation slides for the Building Technologies...

  13. Database Manipulation on Quantum Computers

    E-Print Network [OSTI]

    Ahmed Younes

    2007-05-29T23:59:59.000Z

    Manipulating a database system on a quantum computer is an essential aim to benefit from the promising speed-up of quantum computers over classical computers in areas that take a vast amount of storage and processing time such as in databases. In this paper, the basic operations for manipulating the data in a quantum database will be defined, e.g. INSERT, UPDATE, DELETE, SELECT, backing up and restoring a database file. This gives the ability to perform the data processing that usually takes a long processing time on a classical database system, in a simultaneous way on a quantum computer. Defining a quantum version of more advanced concepts used in database systems, e.g. the referential integrity and the relational algebra, is a normal extension to this work

  14. Incremental elasticity for array databases

    E-Print Network [OSTI]

    Duggan, Jennie

    Relational databases benefit significantly from elasticity, whereby they execute on a set of changing hardware resources provisioned to match their storage and processing requirements. Such flexibility is especially ...

  15. Energy Citations Database (ECD) - Architecture

    Office of Scientific and Technical Information (OSTI)

    Search Architecture - What Is under the hood? The Energy Citations Database makes searchable over two million bibliographic citations for energy and energy related STI from the...

  16. Ribosomal Database Project II

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

    The Ribosomal Database Project (RDP) provides ribosome related data and services to the scientific community, including online data analysis and aligned and annotated Bacterial small-subunit 16S rRNA sequences. As of March 2008, RDP Release 10 is available and currently (August 2009) contains 1,074,075 aligned 16S rRNA sequences. Data that can be downloaded include zipped GenBank and FASTA alignment files, a histogram (in Excel) of the number of RDP sequences spanning each base position, data in the Functional Gene Pipeline Repository, and various user submitted data. The RDP-II website also provides numerous analysis tools.[From the RDP-II home page at http://rdp.cme.msu.edu/index.jsp

  17. The rice kinase database. A phylogenomic database for the rice kinome.

    E-Print Network [OSTI]

    Dardick, Christopher; Chen, Johann; Richter, Todd; Ouyang, Shu; Ronald, Pamela

    2007-01-01T23:59:59.000Z

    Bioinformatics The Rice Kinase Database.A Phylogenomic Database for the Rice Kinome 1[OA]created a phylogenomic database (http://rkd.ucdavis.edu) to

  18. PARALLEL DATABASE MACHINES Kjell Bratbergsengen

    E-Print Network [OSTI]

    by NFR formerly NTNF, Intel Norway AS, Eltron AS and Norwegian Telecom. 1 February 13, 1996 8:51 am #12 The Norwegian Institute of Technology University of Trondheim Email: kjellb@idt.unit.no Summary The idea and database servers for "new" data types, notably film and video. THE TRAUMATIC HISTORY OF DATABASE COMPUTERS

  19. TOWARDS UNIFYING DATABASE SCHEDULING AND

    E-Print Network [OSTI]

    Rhode Island, University of

    1 TOWARDS UNIFYING DATABASE SCHEDULING AND CONCURRENCY CONTROL: A FRONTIER APPROACH Gregory Jones previous work in real-time database concurrency control indexconcur- rency control and scheduling has focused on combiningvariations of traditional concurrency control techniques with real-time scheduling

  20. Temporal Databases Status and Research Directions

    E-Print Network [OSTI]

    Snodgrass, Richard T.

    these databases several thousand years and look up the (then current) grain harvest. Oral histories, e.g., Homer transaction time, recording a history of updates made to the database. Such a database supports rollback to a previous stored state of the database. An historical database supports valid time, recording a history

  1. Database Hints for Readex's AccessUN

    E-Print Network [OSTI]

    Stowell, Michael

    Database Hints for Readex's AccessUN Direct Link to Database: http://infoweb.newsbank.com/?db=UNAD Database Scope Readex's AccessUN database provides an index to United Nations documents from the six main Council, Secretariat and International Court of Justice. This database covers documents from 1946

  2. Chapter 20Chapter 20 Physical Database

    E-Print Network [OSTI]

    Yang, Jing

    1 Chapter 20Chapter 20 Physical Database Design and Tuning Copyright 2011 Pearson Education, Inc. Publishing as Pearson Addison-Wesley 1. Physical Database Design in Relational Databases (1) Factors that Influence Physical Database Design: A. Analyzing the database queries and transactionsA. Analyzing

  3. IMPROVING DATABASE DESIGN TEACHING IN SECONDARY EDUCATION

    E-Print Network [OSTI]

    Paris-Sud XI, Universit de

    Review Copy IMPROVING DATABASE DESIGN TEACHING IN SECONDARY EDUCATION: ACTION RESEARCH Education, University of Patras, 26500, Patras, GREECE. Abstract Database design and use has educational interest for utilitarian and learning reasons. Database technology has significant economic impact

  4. Intelligent Transportation Systems Deployment Statistics Database

    E-Print Network [OSTI]

    Intelligent Transportation Systems Deployment Statistics Database Oak Ridge National Laboratory direction. In addition, through the ITS Deployment Tracking web site, the database supports other users in 2010. Users can also download the entire 2010 deployment tracking database through the website

  5. Meteorological database for the United States

    E-Print Network [OSTI]

    Apte, M.G.

    2011-01-01T23:59:59.000Z

    to Indoor Air Meteorological Database for the United StatesUC-402 Meteorological Database for the United States M.G.Abstract A meteorological database has been developed to aid

  6. Hydrogen Storage Materials Database Demonstration Webinar (Text...

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

    Database Demonstration Webinar (Text Version) Hydrogen Storage Materials Database Demonstration Webinar (Text Version) Below is the text version of the webinar titled "Hydrogen...

  7. SIX GOING ON SEVEN Database Dictionary

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

    SIX GOING ON SEVEN Database Dictionary This database dictionary provides a brief explanation of measure naming schemes and mapping used to align the Northwest Power and...

  8. Accelerating Materials Discovery With World's Largest Database...

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

    Expanding the World's Largest Database of Elastic Properties Expanding the World's Largest Database of Elastic Properties NERSC, Materials Project Help Scientists Increase...

  9. ORISE: Human Subjects Research Database

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

    Human Subjects Research Database Section 10, Part 745 of the Code of Federal Regulations and U.S. Department of Energy (DOE) Orders 443.1 and 481.1 require the maintenance of...

  10. Marine and Hydrokinetic Technology Database

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

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

  11. World electric power plants database

    SciTech Connect (OSTI)

    NONE

    2006-06-15T23:59:59.000Z

    This global database provides records for 104,000 generating units in over 220 countries. These units include installed and projected facilities, central stations and distributed plants operated by utilities, independent power companies and commercial and self-generators. Each record includes information on: geographic location and operating company; technology, fuel and boiler; generator manufacturers; steam conditions; unit capacity and age; turbine/engine; architect/engineer and constructor; and pollution control equipment. The database is issued quarterly.

  12. Rice Glycosyltransferase (GT) Phylogenomic Database

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

    Ronald, Pamela

    The Ronald Laboratory staff at the University of California-Davis has a primary research focus on the genes of the rice plant. They study the role that genetics plays in the way rice plants respond to their environment. They created the Rice GT Database in order to integrate functional genomic information for putative rice Glycosyltransferases (GTs). This database contains information on nearly 800 putative rice GTs (gene models) identified by sequence similarity searches based on the Carbohydrate Active enZymes (CAZy) database. The Rice GT Database provides a platform to display user-selected functional genomic data on a phylogenetic tree. This includes sequence information, mutant line information, expression data, etc. An interactive chromosomal map shows the position of all rice GTs, and links to rice annotation databases are included. The format is intended to "facilitate the comparison of closely related GTs within different families, as well as perform global comparisons between sets of related families." [From http://ricephylogenomics.ucdavis.edu/cellwalls/gt/genInfo.shtml] See also the primary paper discussing this work: Peijian Cao, Laura E. Bartley, Ki-Hong Jung and Pamela C. Ronalda. Construction of a Rice Glycosyltransferase Phylogenomic Database and Identification of Rice-Diverged Glycosyltransferases. Molecular Plant, 2008, 1(5): 858-877.

  13. Summary of Bugs Database Jeremy Kepner

    E-Print Network [OSTI]

    Kepner, Jeremy

    written to create the current version of the bugs database. 1.2 Brief Project History Development1 Summary of Bugs Database Jeremy Kepner September, 1993 1. Introduction 1.1 Document Purpose of the Bugs database began in May of 1992. Initially, a very simple database model was used. By July

  14. Benchmarking Database Systems A Systematic Approach

    E-Print Network [OSTI]

    Liblit, Ben

    Benchmarking Database Systems A Systematic Approach Dina Bitton David J. DeWitt Carolyn Turbyfill-81ER10920. #12;ABSTRACT This paper describes a customized database and a comprehensive set of queries that can be used for sys- tematic benchmarking of relational database systems. Designing this database

  15. Protein sequence databases Rolf Apweiler1,

    E-Print Network [OSTI]

    Information NREF non-redundant reference databases PDB Protein Data Bank PIR Protein Information Resource PIR

  16. National Residential Efficiency Measures Database

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

    The National Residential Efficiency Measures Database is a publicly available, centralized resource of residential building retrofit measures and costs for the U.S. building industry. With support from the U.S. Department of Energy, NREL developed this tool to help users determine the most cost-effective retrofit measures for improving energy efficiency of existing homes. Software developers who require residential retrofit performance and cost data for applications that evaluate residential efficiency measures are the primary audience for this database. In addition, home performance contractors and manufacturers of residential materials and equipment may find this information useful. The database offers the following types of retrofit measures: 1) Appliances, 2) Domestic Hot Water, 3) Enclosure, 4) Heating, Ventilating, and Air Conditioning (HVAC), 5) Lighting, 6) Miscellaneous.

  17. DOE Global Energy Storage Database

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

    The DOE International Energy Storage Database has more than 400 documented energy storage projects from 34 countries around the world. The database provides free, up-to-date information on grid-connected energy storage projects and relevant state and federal policies. More than 50 energy storage technologies are represented worldwide, including multiple battery technologies, compressed air energy storage, flywheels, gravel energy storage, hydrogen energy storage, pumped hydroelectric, superconducting magnetic energy storage, and thermal energy storage. The policy section of the database shows 18 federal and state policies addressing grid-connected energy storage, from rules and regulations to tariffs and other financial incentives. It is funded through DOEs Sandia National Laboratories, and has been operating since January 2012.

  18. ORIGINAL PAPER Introduction to the Special Issues: Short-term

    E-Print Network [OSTI]

    Olufsen, Mette Sofie

    School, and hosted by the American Institute of Mathematics (AIM), Palo Alto, California, October 9, Raleigh, USA 123 Cardiovasc Eng DOI 10.1007/s10558-007-9053-5 #12;the population demographics move toward

  19. ORIGINAL CONTRIBUTION Ozone and Short-term Mortality

    E-Print Network [OSTI]

    Dominici, Francesca

    . With the National Morbidity, Mortality, and Air Pollution Study (NMMAPS), we have developed na- tional approaches Ambient Air Qual- ity Standard (NAAQS) for ozone, adding a daily maximum 8-hour stan- dard of 80 ppb.19 Because of the relevance of epidemiologic evi- dence to the NAAQS for ozone and other pollutants

  20. Environmental Studies Short-Term Study Abroad Program

    E-Print Network [OSTI]

    Papautsky, Ian

    GEOG263: People and Environment: Part III: Energy and Mineral Resources GEOG573: The Urban Habitat (3 & Policy EVST/POL602: Global Biodiversity Law & Policy (3 hrs) #12;

  1. Vehicle Technologies Office: Short-Term Lightweight Materials...

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

    face barriers in cost and manufacturing. Manufacturers also face issues with joining, corrosion, repair, and recycling when they combine aluminum with other materials. VTO has...

  2. Integrated Short Term Navigation of a Towed Underwater Body \\Lambda

    E-Print Network [OSTI]

    LeGland, François

    is con­ sidered. An underwater body, to be called here­ after the fish, is towed by a surface ship centimeters, the trajectory of the fish relative to its otherwise unknown initial position, during a few­ cated on board of the fish, can be integrated. INS measurements are known to track accurately the high

  3. Integrated Short Term Navigation of a Towed Underwater Body*

    E-Print Network [OSTI]

    LeGland, François

    . An underwater body, to be called here- after the fish, is towed by a surface ship at the end of a few hundred of the fish relative to its otherwise unknown initial position, during a few minutes experiment, so, acceleration measurements pro- vided by an INS (inertial navigation system) lo- cated on board of the fish, can

  4. Short-term microbial testing of shale oil materials

    SciTech Connect (OSTI)

    Rao, T.K.; Epler, J.L.; Guerin, M.R.; Clark, B.R.

    1980-01-01T23:59:59.000Z

    Paraho/Sohio Shale Oil was found to be mutagenic in the Ames assay when assayed with the frameshift strain TA98 and incorporating metabolic activation with rat liver homogenates (Aroclor induced S-9). The mutagenic activity was contributed by the organic constituents of the basic and the neutral fractions. Hydrotreatment of the shale oil abolished the mutagenic activity. Results obtained in the yeast assay supported these observations. Refined oil samples from Paraho/Sohio refinery were not mutagenic. The samples rank for their mutagenic activity as coal oils > shale oil > natural petroleum crudes.

  5. Short-term earthquake prediction by reverse analysis of lithosphere ...

    E-Print Network [OSTI]

    2006-01-17T23:59:59.000Z

    Dec 13, 2005 ... to the prediction of avalanches in a wide class of the complex systems, formed separately or jointly by nature and society. 4. The only decisive...

  6. Long vs. short-term energy storage:sensitivity analysis.

    SciTech Connect (OSTI)

    Schoenung, Susan M. (Longitude 122 West, Inc., Menlo Park, CA); Hassenzahl, William V. (,Advanced Energy Analysis, Piedmont, CA)

    2007-07-01T23:59:59.000Z

    This report extends earlier work to characterize long-duration and short-duration energy storage technologies, primarily on the basis of life-cycle cost, and to investigate sensitivities to various input assumptions. Another technology--asymmetric lead-carbon capacitors--has also been added. Energy storage technologies are examined for three application categories--bulk energy storage, distributed generation, and power quality--with significant variations in discharge time and storage capacity. Sensitivity analyses include cost of electricity and natural gas, and system life, which impacts replacement costs and capital carrying charges. Results are presented in terms of annual cost, $/kW-yr. A major variable affecting system cost is hours of storage available for discharge.

  7. When Do I Report a Short Term Disability Claim?

    E-Print Network [OSTI]

    Weaver, Harold A. "Hal"

    the patient may include information relating to any advice, diagnosis, prognosis, treatment or care of my, prescriptions or treatment, including x-ray plates and hospital records, records of drug or alcohol abuse and treatment, communicable disease, Human Immunodeficiency Syndrome (HIV), or Acquired Immune Deficiency

  8. Newporter Apartments: Deep Energy Retrofit Short-Term Results

    SciTech Connect (OSTI)

    Gordon, A.; Howard, L.; Kunkle, R.; Lubliner, M.; Auer, D.; Clegg, Z.

    2012-12-01T23:59:59.000Z

    This project demonstrates a path to meet the goal of the Building America program to reduce home energy use by 30% in multi-family buildings. The project demonstrates cost effective energy savings targets as well as improved comfort and indoor environmental quality (IEQ) associated with deep energy retrofits by a large public housing authority as part of a larger rehabilitation effort. The project focuses on a typical 1960's vintage low-rise multi-family apartment community (120 units in three buildings).

  9. assess short term: Topics by E-print Network

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

    and demand response programs in wholesale power markets with congestion managed by locational marginal prices are derived from DC optimal power flow solutions for day-ahead...

  10. Microsoft Word - Alcoa_short-term_amendments_CX.docx

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

    the same level of service under an existing power sales contract to the Intalco smelter in Ferndale, WA. These amendments would further extend this service for up to an...

  11. Short-term agricultural financial analysis expert system: prototype development

    E-Print Network [OSTI]

    Karkosh, Kedric Lee

    1989-01-01T23:59:59.000Z

    82 97 VITA 100 vii LIST OF TABLES Page TABLE I Farm Income and Return (1980 - 1986) TABLE 2 MARBLE Knowledge Base Organization TABLE 3 Items Used in FinARS TABLE 4 Criteria and Measures Used in AFAES Financial 18 Condition Expert System 19... assets for the period of 1980 to 1986 equal to a -3. 97X. Return on equity showed an even more significant decline over the period, from a level of 1. 1X in 1980 it declined to a low of -15. 4X in 1984 [USDA April 1988]. Assets values were also...

  12. Timing, Short-term Plasticity, and Metaplasticity of STP

    E-Print Network [OSTI]

    Chen, Weixiang

    2013-01-01T23:59:59.000Z

    A, Segev I, Tsodyks M, Stricker C (2004) Multiple mechanismsA, Segev I, Tsodyks M, Stricker C (2004) Multiple mechanismsA, Segev I, Tsodyks M, Stricker C (2004) Multiple mechanisms

  13. Short-Term Operation Scheduling in Renewable-Powered Microgrids

    E-Print Network [OSTI]

    Bornemann, Jens

    of demand forecast error. Mean of wind power forecast error. Cooling time constant of a unit. Variance of demand forecast error. Variance of wind power forecast error. Step size of the subgradient method. UC. Cold start-up cost of a unit. Dual function. Forecasted demand in time interval . Emission function

  14. Hidden State and ShortTerm Memory: A bibliography

    E-Print Network [OSTI]

    Littman, Michael L.

    for hidden markov models. 1993. [ Baum et al., 1970 ] Leonard E. Baum, Ted Petrie, George Soules, and Norman. [ McCallum, 1992 ] R. Andrew McCallum. First results with utile distinction memory for re­ inforcement. [ Moore, 1991 ] Andrew W. Moore. Variable res­ olution dynamic programming: Efficiently learning action

  15. Vehicle Technologies Office: Short-Term Lightweight Materials...

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

    term, replacing heavy steel components with materials such as high-strength steel, aluminum, or glass fiber-reinforced polymer composites can decrease component weight by 10-60...

  16. RESEARCH ARTICLE Empirical assessment of short-term variability from

    E-Print Network [OSTI]

    Variability of solar power is a key driver in increasing the cost of integrating solar power into the electric, we characterize the variability in power output of six photovoltaic plants in the USA and Canada, already generate 9% and 22% of their electricity from wind and solar power and have found means to address

  17. April 2013 Short-Term Energy and Summer Fuels Outlook

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"Click worksheet9,1,50022,3,,,,6,1,,781Title: Telephone:shortOil and Natural8U.S. Energy8 Appendix7

  18. Vehicle Technologies Office: Short-Term Lightweight Materials Research

    Office of Environmental Management (EM)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "of EnergyEnergyENERGYWomen Owned SmallOf The 2012Nuclear GuideReport |(GATE) |EnergyDepartment(Advanced

  19. December 2012 Short-Term Energy Outlook (STEO)

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecember 2005 (Thousand9, 2015Year109 AppendixCosts ofMarch2Q)4(82)6)k(STEO)  EIA

  20. Energy Information Administration/Short-Term Energy Outlook - April 2005

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecember 2005 (Thousand9,0, 1997Environment >7,99 Diagram 4. Coal Flow,

  1. Energy Information Administration/Short-Term Energy Outlook - April 2006

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecember 2005 (Thousand9,0, 1997Environment >7,99 Diagram 4. Coal Flow,6 1 April

  2. Energy Information Administration/Short-Term Energy Outlook - August 2005

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecember 2005 (Thousand9,0, 1997Environment >7,99 Diagram 4. Coal Flow,6 1 April5

  3. Energy Information Administration/Short-Term Energy Outlook - February 2005

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecember 2005 (Thousand9,0, 1997Environment >7,99 Diagram 4. Coal Flow,6 1

  4. Energy Information Administration/Short-Term Energy Outlook - January 2005

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecember 2005 (Thousand9,0, 1997Environment >7,99 Diagram 4. Coal Flow,6 1January

  5. Energy Information Administration/Short-Term Energy Outlook - July 2005

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecember 2005 (Thousand9,0, 1997Environment >7,99 Diagram 4. Coal Flow,6

  6. Energy Information Administration/Short-Term Energy Outlook - June 2005

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecember 2005 (Thousand9,0, 1997Environment >7,99 Diagram 4. Coal Flow,65 1

  7. Energy Information Administration/Short-Term Energy Outlook - May 2005

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecember 2005 (Thousand9,0, 1997Environment >7,99 Diagram 4. Coal Flow,65 15 1

  8. Energy Information Administration/Short-Term Energy Outlook - October 2005

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecember 2005 (Thousand9,0, 1997Environment >7,99 Diagram 4. Coal Flow,65 15 15 1

  9. Energy Information Administration/Short-Term Energy Outlook - September 2005

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecember 2005 (Thousand9,0, 1997Environment >7,99 Diagram 4. Coal Flow,65 15 15

  10. February 2013 Short-Term Energy Outlook (STEO)

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecember 2005 (Thousand9,0, 1997Environment >7,99 Diagram 4. FOR

  11. January 2013 Short-Term Energy Outlook (STEO)

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecember 2005 (Thousand9,0, 1997EnvironmentElectricityrgy Consumption Series(STEO)

  12. March 2013 Short-Term Energy Outlook (STEO)

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecember 2005 (Thousand9,0,Information Administration (EIA)Administration(STEO)

  13. Short-term earthquake prediction by reverse analysis of lithosphere ...

    E-Print Network [OSTI]

    2006-01-17T23:59:59.000Z

    Dec 13, 2005 ... a International Institute for Earthquake Prediction Theory and Mathematical Geophysics, Russian Ac. Sci., Warshavskoe sh.,. 79, korp.

  14. Natural Gas Summary from the Short-Term Energy Outlook

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30 2013 Macroeconomic team:6-2015 Illinois NA NA NA NA60,290Natural Gas Summary

  15. Natural Gas Summary from the Short-Term Energy Outlook

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30 2013 Macroeconomic team:6-2015 Illinois NA NA NA NA60,290Natural Gas

  16. Natural Gas Summary from the Short-Term Energy Outlook

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30 2013 Macroeconomic team:6-2015 Illinois NA NA NA NA60,290Natural Gascontinue

  17. Natural Gas Summary from the Short-Term Energy Outlook

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30 2013 Macroeconomic team:6-2015 Illinois NA NA NA NA60,290Natural

  18. Natural Gas Summary from the Short-Term Energy Outlook

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30 2013 Macroeconomic team:6-2015 Illinois NA NA NA NA60,290Natural71 and $2.75

  19. Natural Gas Summary from the Short-Term Energy Outlook

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30 2013 Macroeconomic team:6-2015 Illinois NA NA NA NA60,290Natural71 and

  20. Natural Gas Summary from the Short-Term Energy Outlook

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30 2013 Macroeconomic team:6-2015 Illinois NA NA NA NA60,290Natural71 andabout

  1. Natural Gas Summary from the Short-Term Energy Outlook

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30 2013 Macroeconomic team:6-2015 Illinois NA NA NA NA60,290Natural71

  2. Natural Gas Summary from the Short-Term Energy Outlook

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30 2013 Macroeconomic team:6-2015 Illinois NA NA NA NA60,290Natural714.20 per

  3. Natural Gas Summary from the Short-Term Energy Outlook

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30 2013 Macroeconomic team:6-2015 Illinois NA NA NA NA60,290Natural714.20

  4. Natural Gas Summary from the Short-Term Energy Outlook

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30 2013 Macroeconomic team:6-2015 Illinois NA NA NA NA60,290Natural714.20late

  5. Natural Gas Summary from the Short-Term Energy Outlook

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30 2013 Macroeconomic team:6-2015 Illinois NA NA NA

  6. Natural Gas Summary from the Short-Term Energy Outlook

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30 2013 Macroeconomic team:6-2015 Illinois NA NA NAIn the May 2003

  7. Natural Gas Summary from the Short-Term Energy Outlook

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30 2013 Macroeconomic team:6-2015 Illinois NA NA NAIn the May 2003through the

  8. Natural Gas Summary from the Short-Term Energy Outlook

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30 2013 Macroeconomic team:6-2015 Illinois NA NA NAIn the May 2003through the

  9. Natural Gas Summary from the Short-Term Energy Outlook

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30 2013 Macroeconomic team:6-2015 Illinois NA NA NAIn the May 2003through

  10. Natural Gas Summary from the Short-Term Energy Outlook

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30 2013 Macroeconomic team:6-2015 Illinois NA NA NAIn the May 2003throughin

  11. Natural Gas Summary from the Short-Term Energy Outlook

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30 2013 Macroeconomic team:6-2015 Illinois NA NA NAIn the May 2003throughin7

  12. Natural Gas Summary from the Short-Term Energy Outlook

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30 2013 Macroeconomic team:6-2015 Illinois NA NA NAIn the May 2003throughin78

  13. Natural Gas Summary from the Short-Term Energy Outlook

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30 2013 Macroeconomic team:6-2015 Illinois NA NA NAIn the May

  14. Natural Gas Summary from the Short-Term Energy Outlook

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30 2013 Macroeconomic team:6-2015 Illinois NA NA NAIn the May5.57 per MMBtu in

  15. Natural Gas Summary from the Short-Term Energy Outlook

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30 2013 Macroeconomic team:6-2015 Illinois NA NA NAIn the May5.57 per MMBtu

  16. Natural Gas Summary from the Short-Term Energy Outlook

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30 2013 Macroeconomic team:6-2015 Illinois NA NA NAIn the May5.57 per MMBtulate

  17. Natural Gas Summary from the Short-Term Energy Outlook

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30 2013 Macroeconomic team:6-2015 Illinois NA NA NAIn the May5.57 per

  18. Natural Gas Summary from the Short-Term Energy Outlook

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30 2013 Macroeconomic team:6-2015 Illinois NA NA NAIn the May5.57 perThe Energy

  19. Natural Gas Summary from the Short-Term Energy Outlook

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30 2013 Macroeconomic team:6-2015 Illinois NA NA NAIn the May5.57 perThe

  20. Natural Gas Summary from the Short-Term Energy Outlook

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30 2013 Macroeconomic team:6-2015 Illinois NA NA NAIn the May5.57 perTheThe

  1. Off-site Lodging (short-term) | Advanced Photon Source

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the1 - September 2006 The 2002 Wholesale Power Rate Schedules (base rates) forOdds2

  2. Short-Term Energy Outlook April 1999-Summer Gasoline Outlook

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S. Natural GasquestionnairesquestionnairesGasA.San34 1 October‹Summer

  3. Short-Term Energy Outlook April 2000--STEO Preface

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S. Natural GasquestionnairesquestionnairesGasA.San34 1

  4. Electricity storage for short term power system service (Smart Grid

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home5b9fcbce19 NoPublic Utilities Address:011-DNA Jump37. It is classifiedProject) | Open Energy Information ENS

  5. Short-Term Load Forecasting This paper discusses the state of the art in short-term load fore-

    E-Print Network [OSTI]

    Gross, George

    spectrum of time intervals. In therange of seconds, when load variationsare small and random, the automatic by a number of generation control functions such as hydro scheduling, unit commitment, hydro-ther- mal present, functions such as fuel, hydro, and maintenance scheduling are performed to ensure that the load

  6. Short-Term Energy Outlook Supplement: Uncertainties in the Short-Term Global Petroleum and Other Liquids Supply Forecast

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S. Natural GasquestionnairesquestionnairesGasA.San34Summer 2013

  7. A Methodology Database System Performance Evaluation

    E-Print Network [OSTI]

    Liblit, Ben

    Corporation VAX 11 product line. The relational database systems/machines that are currently available for the VAX include the IDM 500 database machine, INGRES, INFORMEX, MISTRESS, ORACLE, RIM, and UNIFY. A user

  8. 6.830 Database Systems, Fall 2005

    E-Print Network [OSTI]

    Madden, Samuel

    This course relies on primary readings from the database community to introduce graduate students to the foundations of database systems, focusing on basics such as the relational algebra and data model, schema normalization, ...

  9. Efficient Versioning for Scientific Array Databases

    E-Print Network [OSTI]

    Seering, Adam

    In this paper, we describe a versioned database storage manager we are developing for the SciDB scientific database. The system is designed to efficiently store and retrieve array-oriented data, exposing a "no-overwrite" ...

  10. Workload-Aware Database Monitoring and Consolidation

    E-Print Network [OSTI]

    Curino, Carlo

    In most enterprises, databases are deployed on dedicated database servers. Often, these servers are underutilized much of the time. For example, in traces from almost 200 production servers from different organizations, ...

  11. Webinar: Hydrogen Storage Materials Database Demonstration

    Broader source: Energy.gov [DOE]

    Video recording and text version of the webinar, Hydrogen Storage Materials Database Demonstration, originally presented on December 13, 2011.

  12. Webinar: NREL's Fuel Cell Contaminant Database

    Broader source: Energy.gov [DOE]

    Video recording and text version of the webinar titled "NREL's Fuel Cell Contaminant Database," originally presented on May 27, 2014.

  13. 1991-2005 National Solar Radiation Database

    SciTech Connect (OSTI)

    Wilcox, S.

    2007-05-01T23:59:59.000Z

    This fact sheet provides an overview of the purpose, benefit, and features of the newly updated National Solar Radiation Database.

  14. The Majorana Parts Tracking Database

    E-Print Network [OSTI]

    Abgrall, N; Avignone, F T; Bertrand, F E; Brudanin, V; Busch, M; Byram, D; Caldwell, A S; Chan, Y-D; Christofferson, C D; Combs, D C; Cuesta, C; Detwiler, J A; Doe, P J; Efremenko, Yu; Egorov, V; Ejiri, H; Elliott, S R; Esterline, J; Fast, J E; Finnerty, P; Fraenkle, F M; Galindo-Uribarri, A; Giovanetti, G K; Goett, J; Green, M P; Gruszko, J; Guiseppe, V E; Gusev, K; Hallin, A L; Hazama, R; Hegai, A; Henning, R; Hoppe, E W; Howard, S; Howe, M A; Keeter, K J; Kidd, M F; Kochetov, O; Kouzes, R T; LaFerriere, B D; Leon, J Diaz; Leviner, L E; Loach, J C; MacMullin, J; Martin, R D; Meijer, S J; Mertens, S; Miller, M L; Mizouni, L; Nomachi, M; Orrell, J L; O'Shaughnessy, C; Overman, N R; Petersburg, R; Phillips, D G; Poon, A W P; Pushkin, K; Radford, D C; Rager, J; Rielage, K; Robertson, R G H; Romero-Romero, E; Ronquest, M C; Shanks, B; Shima, T; Shirchenko, M; Snavely, K J; Snyder, N; Soin, A; Suriano, A M; Tedeschi, D; Thompson, J; Timkin, V; Tornow, W; Trimble, J E; Varner, R L; Vasilyev, S; Vetter, K; Vorren, K; White, B R; Wilkerson, J F; Wiseman, C; Xu, W; Yakushev, E; Young, A R; Yu, C -H; Zhitnikov, I

    2015-01-01T23:59:59.000Z

    The Majorana Demonstrator is an ultra-low background physics experiment searching for the neutrinoless double beta decay of $^{76}$Ge. The Majorana Parts Tracking Database is used to record the history of components used in the construction of the Demonstrator. The tracking implementation takes a novel approach based on the schema-free database technology CouchDB. Transportation, storage, and processes undergone by parts such as machining or cleaning are linked to part records. Tracking parts provides a great logistics benefit and an important quality assurance reference during construction. In addition, the location history of parts provides an estimate of their exposure to cosmic radiation. A web application for data entry and a radiation exposure calculator have been developed as tools for achieving the extreme radio-purity required for this rare decay search.

  15. The Majorana Parts Tracking Database

    E-Print Network [OSTI]

    The Majorana Collaboration; N. Abgrall; E. Aguayo; F. T. Avignone III; A. S. Barabash; F. E. Bertrand; V. Brudanin; M. Busch; D. Byram; A. S. Caldwell; Y-D. Chan; C. D. Christofferson; D. C. Combs; C. Cuesta; J. A. Detwiler; P. J. Doe; Yu. Efremenko; V. Egorov; H. Ejiri; S. R. Elliott; J. Esterline; J. E. Fast; P. Finnerty; F. M. Fraenkle; A. Galindo-Uribarri; G. K. Giovanetti; J. Goett; M. P. Green; J. Gruszko; V. E. Guiseppe; K. Gusev; A. L. Hallin; R. Hazama; A. Hegai; R. Henning; E. W. Hoppe; S. Howard; M. A. Howe; K. J. Keeter; M. F. Kidd; O. Kochetov; S. I. Konovalov; R. T. Kouzes; B. D. LaFerriere; J. Diaz Leon; L. E. Leviner; J. C. Loach; J. MacMullin; R. D. Martin; S. J. Meijer; S. Mertens; M. L. Miller; L. Mizouni; M. Nomachi; J. L. Orrell; C. O'Shaughnessy; N. R. Overman; R. Petersburg; D. G. Phillips II; A. W. P. Poon; K. Pushkin; D. C. Radford; J. Rager; K. Rielage; R. G. H. Robertson; E. Romero-Romero; M. C. Ronquest; B. Shanks; T. Shima; M. Shirchenko; K. J. Snavely; N. Snyder; A. Soin; A. M. Suriano; D. Tedeschi; J. Thompson; V. Timkin; W. Tornow; J. E. Trimble; R. L. Varner; S. Vasilyev; K. Vetter; K. Vorren; B. R. White; J. F. Wilkerson; C. Wiseman; W. Xu; E. Yakushev; A. R. Young; C. -H. Yu; V. Yumatov; I. Zhitnikov

    2015-02-05T23:59:59.000Z

    The Majorana Demonstrator is an ultra-low background physics experiment searching for the neutrinoless double beta decay of $^{76}$Ge. The Majorana Parts Tracking Database is used to record the history of components used in the construction of the Demonstrator. The tracking implementation takes a novel approach based on the schema-free database technology CouchDB. Transportation, storage, and processes undergone by parts such as machining or cleaning are linked to part records. Tracking parts provides a great logistics benefit and an important quality assurance reference during construction. In addition, the location history of parts provides an estimate of their exposure to cosmic radiation. A web application for data entry and a radiation exposure calculator have been developed as tools for achieving the extreme radio-purity required for this rare decay search.

  16. GOLD: The Genomes Online Database

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

    Kyrpides, Nikos; Liolios, Dinos; Chen, Amy; Tavernarakis, Nektarios; Hugenholtz, Philip; Markowitz, Victor; Bernal, Alex

    Since its inception in 1997, GOLD has continuously monitored genome sequencing projects worldwide and has provided the community with a unique centralized resource that integrates diverse information related to Archaea, Bacteria, Eukaryotic and more recently Metagenomic sequencing projects. As of September 2007, GOLD recorded 639 completed genome projects. These projects have their complete sequence deposited into the public archival sequence databases such as GenBank EMBL,and DDBJ. From the total of 639 complete and published genome projects as of 9/2007, 527 were bacterial, 47 were archaeal and 65 were eukaryotic. In addition to the complete projects, there were 2158 ongoing sequencing projects. 1328 of those were bacterial, 59 archaeal and 771 eukaryotic projects. Two types of metadata are provided by GOLD: (i) project metadata and (ii) organism/environment metadata. GOLD CARD pages for every project are available from the link of every GOLD_STAMP ID. The information in every one of these pages is organized into three tables: (a) Organism information, (b) Genome project information and (c) External links. [The Genomes On Line Database (GOLD) in 2007: Status of genomic and metagenomic projects and their associated metadata, Konstantinos Liolios, Konstantinos Mavromatis, Nektarios Tavernarakis and Nikos C. Kyrpides, Nucleic Acids Research Advance Access published online on November 2, 2007, Nucleic Acids Research, doi:10.1093/nar/gkm884]

    The basic tables in the GOLD database that can be browsed or searched include the following information:

    • Gold Stamp ID
    • Organism name
    • Domain
    • Links to information sources
    • Size and link to a map, when available
    • Chromosome number, Plas number, and GC content
    • A link for downloading the actual genome data
    • Institution that did the sequencing
    • Funding source
    • Database where information resides
    • Publication status and information

    (Specialized Interface)

  17. Search Log Analysis of the ARTstor Cultural Heritage Image Database

    E-Print Network [OSTI]

    Lowe, Heather Ann

    2013-01-01T23:59:59.000Z

    Patterns in a Digital Image Database. Information RetrievalCultural Heritage Image Database A thesis submitted inCultural Heritage Image Database by Heather Ann Lowe Master

  18. SUN Attribute Database: Discovering, Annotating, and Recognizing Scene Attributes

    E-Print Network [OSTI]

    Hays, James

    SUN Attribute Database: Discovering, Annotating, and Recognizing Scene Attributes Genevieve attributes. Next, we build the "SUN attribute database" on top of the diverse SUN categorical database. Our

  19. Data Modelling and Database Requirements Geographical Data

    E-Print Network [OSTI]

    . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14 Brief history 15 Definitions 15 The three-schema architecture 16 Features/services of databaseData Modelling and Database Requirements for Geographical Data Håvard Tveite January, 1997 #12-Model Substitution, and adds new symbology that is relevant for geographical data. Database system requirements

  20. Supporting Database Provenance under Schema Evolution

    E-Print Network [OSTI]

    Zaniolo, Carlo

    ,11] have significantly simplified the problems of preserving the history of the database schemaSupporting Database Provenance under Schema Evolution Shi Gao and Carlo Zaniolo University of California, Los Angeles {gaoshi, zaniolo}@cs.ucla.edu Abstract. Database schema upgrades are common in modern

  1. NICMOS HISTORY DATABASE AND April 10, 1998

    E-Print Network [OSTI]

    Sirianni, Marco

    1 NICMOS HISTORY DATABASE AND WEB TOOLS C. Tullos April 10, 1998 ABSTRACT The history of NICMOS. The Database and Data A convenient way of keeping a history of some of the NICMOS instrument parameters parameters apply. Instrument Science Report OSG-CAL 98-01 #12;2 NICMOS HISTORY DATABASE LAYOUT 2. The Web

  2. Database Transposition for Constrained (Closed) Pattern Mining

    E-Print Network [OSTI]

    Paris-Sud XI, Universit de

    Database Transposition for Constrained (Closed) Pattern Mining Baptiste Jeudy1 and Francois Rioult pat- terns in databases with pathological size. For example, experiments in genome biology usually provide databases with thousands of attributes (genes) but only tens of objects (experiments

  3. Database System Concepts Silberschatz, Korth and Sudarshan

    E-Print Network [OSTI]

    Dragan, Feodor F.

    Database System Concepts ©Silberschatz, Korth and Sudarshan See www.db-book.com for conditions on re-use ©Silberschatz, Korth and SudarshanDatabase System Concepts Chapter 8: Application Design andChapter 8: Application Design and DevelopmentDevelopment #12;©Silberschatz, Korth and Sudarshan8.2Database

  4. GRAPHDB -a database of Axel Kohnert

    E-Print Network [OSTI]

    Laue, Reinhard

    GRAPHDB - a database of graphs March 2003 Axel Kohnert University of Bayreuth http://btm2xg ADMIN DBUSER ¡£¢ DB ¤ ¥ GRAPHVIEWER ¦ GRAPHSERVER #12;A: The Database Part I. THE MASTER TABLE #12;B: The client access to the database There are several web pages which allow the search

  5. DESCRIPTIVE TEXT SEA WATER INORGANIC CARBON DATABASE

    E-Print Network [OSTI]

    DESCRIPTIVE TEXT SEA WATER INORGANIC CARBON DATABASE for the CARBON DIOXIDE INFORMATION OF OCEANOGRAPHY (SIO) I. GENERAL DESCRIPTION The database consists of tables presenting oceanic inorganic carbon, titration (total) alkalinity (database abbreviation: "ALK"), and the 13 C / 12 C isotopic ratio

  6. Comprehensive Database on Concrete Creep and Shrinkage

    E-Print Network [OSTI]

    Comprehensive Database on Concrete Creep and Shrinkage Zdenek P. Bazant and Guang-Hua Li Structural Database on Concrete Creep and Shrinkage Zdenek P. Bazant1 and Guang-Hua Li2 Abstract: As a sequel to the first large database created at Northwestern University in 1978, the paper presents a further

  7. Computer Note A Prototype Object Database for

    E-Print Network [OSTI]

    Neigel, Joseph E.

    Computer Note A Prototype Object Database for Mitochondrial DNA Variation J. E. NEIGEL AND P preserved. We hope to prevent further loss by establishing a community database for population genetic surveys. We explored the feasibility of a population genetics database by developing a prototype

  8. DATABASE AUTHENTICATION BY DISTORTION FREE WATERMARKING

    E-Print Network [OSTI]

    Cortesi, Tino

    DATABASE AUTHENTICATION BY DISTORTION FREE WATERMARKING Sukriti Bhattacharya and Agostino Cortesi@dsi.unive.it, cortesi@unive.it Keywords: Database watermarking, ZAW, Public key watermark, Abstract interpretation the verification of integrity of the relational databases by using a public zero distortion authentication

  9. Bioinformatics The Maize Genetics and Genomics Database.

    E-Print Network [OSTI]

    Brendel, Volker

    Bioinformatics The Maize Genetics and Genomics Database. The Community Resource for Access 500113260 (T.E.S.) The Maize Genetics and Genomics Database (MaizeGDB) serves the maize (Zea mays data types available through MaizeGDB. MISSION AND SCOPE The Maize Genetics and Genomics Database

  10. 8, 76577702, 2008 A new database of

    E-Print Network [OSTI]

    Paris-Sud XI, Universit de

    ACPD 8, 76577702, 2008 A new database of trace gases and aerosols B. Hassler et al. Title Page.0 License. Atmospheric Chemistry and Physics Discussions Technical Note: A new global database of trace7702, 2008 A new database of trace gases and aerosols B. Hassler et al. Title Page Abstract Introduction

  11. Databases

    E-Print Network [OSTI]

    Mcgregor, D.; Cockshott, P.; Wilson, J.; US Patent 6169990 British Patent, Volume BP 9604522.4 Academic Press [More Details

    Mcgregor,D. Cockshott,P. Wilson,J. US Patent 6169990 British Patent, Volume BP 9604522.4 Academic Press

  12. Using XML to Build Efficient Transaction-Time Temporal Database Systems on Relational Databases

    E-Print Network [OSTI]

    Zaniolo, Carlo

    (virtual) representations of the database history, (b) XQuery to express powerful temporal queriesUsing XML to Build Efficient Transaction-Time Temporal Database Systems on Relational Databases the ArchIS system that achieves full-functionality transaction-time databases without re- quiring temporal

  13. Distributed DatabasesDistributed Databases Based on material provided by:Based on material provided by

    E-Print Network [OSTI]

    /References ?? A Database Management SystemA Database Management System (DBMS) is a software package designed(DBMS Databases, 2001 5 Why Use a DBMS?Why Use a DBMS? ?? Data IndependenceData Independence ?? Efficient Access data #12;J.J.Bunn, Distributed Databases, 2001 9 Concurrency ControlConcurrency Control ?? Good DBMS

  14. Artemis Chado database -practical guide Annotation in the database version of Artemis

    E-Print Network [OSTI]

    Maizels, Rick

    -1- Artemis Chado database - practical guide Annotation in the database version of Artemis 1 directory for the backup files and optionally save this setting between sessions. Wait for the `Database and File Manager' to be loaded. Click on `Launch Artemis'. #12;-2- Artemis Chado database - practical guide

  15. The USC CreativeIT Database: A Multimodal Database of Theatrical Improvisation

    E-Print Network [OSTI]

    Busso, Carlos

    The USC CreativeIT Database: A Multimodal Database of Theatrical Improvisation Angeliki Metallinou' creativity. The USC CreativeIT database provides a novel bridge between the study of theatrical improvisation and human expressive behavior in dyadic interaction. The theoretical design of the database is based

  16. NIST Standard Reference Database 88 NIST/TRC Ideal Gas Database

    E-Print Network [OSTI]

    Magee, Joseph W.

    #12;NIST Standard Reference Database 88 NIST/TRC Ideal Gas Database Version 2.0 Users' Guide Data of the database and to verify that the data contained therein have been selected on the basis of sound scientific that may result from errors or omissions in the database. COPYRIGHT (C) 2006 copyright by the U

  17. CIS 330: Database Management Systems Course Number & Title (A.1) CIS 330: Database Management Systems

    E-Print Network [OSTI]

    Plotkin, Joshua B.

    CIS 330: Database Management Systems Course Number & Title (A.1) CIS 330: Database Management & Johannes Gehrke, Database Management Systems (third edition), McGraw Hill. Additional materials as handouts, e.g., research papers Catalog Description (A.5a) Introduction to database management systems

  18. Database specification for the Worldwide Port System (WPS) Regional Integrated Cargo Database (ICDB)

    SciTech Connect (OSTI)

    Faby, E.Z.; Fluker, J.; Hancock, B.R.; Grubb, J.W.; Russell, D.L. [Univ. of Tennessee, Knoxville, TN (United States)] [Univ. of Tennessee, Knoxville, TN (United States); Loftis, J.P.; Shipe, P.C.; Truett, L.F. [Oak Ridge National Lab., TN (United States)] [Oak Ridge National Lab., TN (United States)

    1994-03-01T23:59:59.000Z

    This Database Specification for the Worldwide Port System (WPS) Regional Integrated Cargo Database (ICDB) describes the database organization and storage allocation, provides the detailed data model of the logical and physical designs, and provides information for the construction of parts of the database such as tables, data elements, and associated dictionaries and diagrams.

  19. Overview of selected molecular biological databases

    SciTech Connect (OSTI)

    Rayl, K.D.; Gaasterland, T.

    1994-11-01T23:59:59.000Z

    This paper presents an overview of the purpose, content, and design of a subset of the currently available biological databases, with an emphasis on protein databases. Databases included in this summary are 3D-ALI, Berlin RNA databank, Blocks, DSSP, EMBL Nucleotide Database, EMP, ENZYME, FSSP, GDB, GenBank, HSSP, LiMB, PDB, PIR, PKCDD, ProSite, and SWISS-PROT. The goal is to provide a starting point for researchers who wish to take advantage of the myriad available databases. Rather than providing a complete explanation of each database, we present its content and form by explaining the details of typical entries. Pointers to more complete ``user guides`` are included, along with general information on where to search for a new database.

  20. This overview covers: Connecting to a Chado Database

    E-Print Network [OSTI]

    Maizels, Rick

    This overview covers: Connecting to a Chado Database Reading From the Database iBatis Database Mapping Gene Representation Gene Building Gene merging and splitting Transfer Annotation Tool Writing To The Database Opening the Standalone Gene Builder Community Annotation Writing

  1. Enhancing the DNA Patent Database

    SciTech Connect (OSTI)

    Walters, LeRoy B.

    2008-02-18T23:59:59.000Z

    Final Report on Award No. DE-FG0201ER63171 Principal Investigator: LeRoy B. Walters February 18, 2008 This project successfully completed its goal of surveying and reporting on the DNA patenting and licensing policies at 30 major U.S. academic institutions. The report of survey results was published in the January 2006 issue of Nature Biotechnology under the title The Licensing of DNA Patents by US Academic Institutions: An Empirical Survey. Lori Pressman was the lead author on this feature article. A PDF reprint of the article will be submitted to our Program Officer under separate cover. The project team has continued to update the DNA Patent Database on a weekly basis since the conclusion of the project. The database can be accessed at dnapatents.georgetown.edu. This database provides a valuable research tool for academic researchers, policymakers, and citizens. A report entitled Reaping the Benefits of Genomic and Proteomic Research: Intellectual Property Rights, Innovation, and Public Health was published in 2006 by the Committee on Intellectual Property Rights in Genomic and Protein Research and Innovation, Board on Science, Technology, and Economic Policy at the National Academies. The report was edited by Stephen A. Merrill and Anne-Marie Mazza. This report employed and then adapted the methodology developed by our research project and quoted our findings at several points. (The full report can be viewed online at the following URL: http://www.nap.edu/openbook.php?record_id=11487&page=R1). My colleagues and I are grateful for the research support of the ELSI program at the U.S. Department of Energy.

  2. Constrained Querying of Multimedia Databases

    E-Print Network [OSTI]

    Vitter, Jeffrey Scott; Natsev, Apostol; Smith, John R.; Chang, Yuan-Chi; Li, Chung-Sheng

    2001-01-01T23:59:59.000Z

    definitions using SQL and XML (MPEG-7 schema definitions). REFERENCES 1. MPEG-7 applications document v.8.1. ISO/IEC JTC1/SC29/WG11/M4839, MPEG99, July 1999. 2. MPEG-7 requirements document v.10. ISO/IEC JTC1/SC29/WG11/M4839N2996, MPEG99, Oct. 1999. 3. M...Constrained Querying of Multimedia Databases: Issues and Approaches Apostol (Paul) Natseva#3;y John R. Smithb Yuan-Chi Changb Chung-Sheng Lib Jeffrey S. Vittera aDepartment of Computer Science, Duke University, P.O. Box 90129, Durham, NC 27708...

  3. databases | netl.doe.gov

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear SecurityTensile Strain Switched5 Industrial Carbon Capture and Storageconvert program | credarr.xlscyber |2databases

  4. V-036: EMC Smarts Network Configuration Manager Database Authenticatio...

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

    36: EMC Smarts Network Configuration Manager Database Authentication Bypass Vulnerability V-036: EMC Smarts Network Configuration Manager Database Authentication Bypass...

  5. CS 525: Advanced Database Organization Study of relational, semantic, and object-oriented data models and interfaces. Database management system

    E-Print Network [OSTI]

    Heller, Barbara

    History of database management. Goals of database system development. Relational systems Data modelsCS 525: Advanced Database Organization Objectives Study of relational, semantic, and object-oriented data models and interfaces. Database management system techniques for query optimization, concurrency

  6. The Dartmouth Stellar Evolution Database

    E-Print Network [OSTI]

    Aaron Dotter; Brian Chaboyer; Darko Jevremovic; Veselin Kostov; E. Baron; J. W. Ferguson

    2008-04-28T23:59:59.000Z

    The ever-expanding depth and quality of photometric and spectroscopic observations of stellar populations increase the need for theoretical models in regions of age-composition parameter space that are largely unexplored at present. Stellar evolution models that employ the most advanced physics and cover a wide range of compositions are needed to extract the most information from current observations of both resolved and unresolved stellar populations. The Dartmouth Stellar Evolution Database is a collection of stellar evolution tracks and isochrones that spans a range of [Fe/H] from -2.5 to +0.5, [alpha/Fe] from -0.2 to +0.8 (for [Fe/H] 0), and initial He mass fractions from Y=0.245 to 0.40. Stellar evolution tracks were computed for masses between 0.1 and 4 Msun, allowing isochrones to be generated for ages as young as 250 Myr. For the range in masses where the core He flash occurs, separate He-burning tracks were computed starting from the zero age horizontal branch. The tracks and isochrones have been transformed to the observational plane in a variety of photometric systems including standard UBV(RI)c, Stromgren uvby, SDSS ugriz, 2MASS JHKs, and HST ACS-WFC and WFPC2. The Dartmouth Stellar Evolution Database is accessible through a website at http://stellar.dartmouth.edu/~models/ where all tracks, isochrones, and additional files can be downloaded.

  7. Nuclear Concrete Materials Database Phase I Development

    SciTech Connect (OSTI)

    Ren, Weiju [ORNL; Naus, Dan J [ORNL

    2012-05-01T23:59:59.000Z

    The FY 2011 accomplishments in Phase I development of the Nuclear Concrete Materials Database to support the Light Water Reactor Sustainability Program are summarized. The database has been developed using the ORNL materials database infrastructure established for the Gen IV Materials Handbook to achieve cost reduction and development efficiency. In this Phase I development, the database has been successfully designed and constructed to manage documents in the Portable Document Format generated from the Structural Materials Handbook that contains nuclear concrete materials data and related information. The completion of the Phase I database has established a solid foundation for Phase II development, in which a digital database will be designed and constructed to manage nuclear concrete materials data in various digitized formats to facilitate electronic and mathematical processing for analysis, modeling, and design applications.

  8. Concurrency control in heterogeneous distributed database systems

    E-Print Network [OSTI]

    Rahman, Md. Rezaur

    1992-01-01T23:59:59.000Z

    APPROACHES IN HDDBS . III. A Approaches Requiring Local DBMS Modihcations 17 19 III. B Approaches Without Local DBMS Modifications 22 IV A NEW APPROACH TO HDDBS CONCURRENCY CONTROL 30 IV. A The Concurrency Control Scheme 30 CIIA PTER Page IV. B... related to Database Systems in general which will be used consistently throughout this thesis. A Database system (DBS) consists of a set of dutiibiises (DB) which contain the data of interest and software, the database msnageinent system (DBMS), which...

  9. Graphical visualization of implemented storage databases

    SciTech Connect (OSTI)

    Fischer, C.; Hamp, H.P. [Admintec GmbH, Pforzheim (Germany)

    1993-12-31T23:59:59.000Z

    The PC-program LANUC, developed from Admintec, supports a decentralized or centralized storage management of radioactive waste. It gives the storekeeper a graphical view of a storage area and its contents which are otherwise only represented in lists and databases. The storekeeper can plan any movements within the storage area and once they are confirmed, the data in the database are automatically altered. Any implemented database can be represented by simulating a human operator with a program.

  10. Buildings Performance Database Analysis Tools | Department of...

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

    Save Consumers Billions Tools EnergyPlus Whole Building Energy Simulation OpenStudio Energy Simulation Application Suite Buildings Performance Database Building Energy...

  11. Buildings Performance Database | Department of Energy

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

    Consumers Billions Tools EnergyPlus Whole Building Energy Simulation OpenStudio Energy Simulation Application Suite Buildings Performance Database Building Energy Software Tools...

  12. Buildings Performance Database Recommend Data Fields

    Broader source: Energy.gov [DOE]

    Buildings Performance Database Recommend Data Fields, from the U.S. Department of Energy's Office of Energy Efficiency and Renewable Energy.

  13. X-RAY MICROBEAM SPEECH PRODUCTION DATABASE

    E-Print Network [OSTI]

    X-RAY MICROBEAM SPEECH PRODUCTION DATABASE USER'S HANDBOOK Version 1.0 (June 1994) prepared by John . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 Chapter Two: XRMB History

  14. A Database Index to Large Biological Sequences

    E-Print Network [OSTI]

    Hunt, E.

    Hunt,E. Atkinson,M.P. Irving,R.W. Proceedings of the 27th Conference on Very Large Databases pp 139-148 Morgan Kaufmann

  15. Sandia Wind Turbine Loads Database

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

    The Sandia Wind Turbine Loads Database is divided into six files, each corresponding to approximately 16 years of simulation. The files are text files with data in columnar format. The 424MB zipped file containing six data files can be downloaded by the public. The files simulate 10-minute maximum loads for the NREL 5MW wind turbine. The details of the loads simulations can be found in the paper: Decades of Wind Turbine Loads Simulations, M. Barone, J. Paquette, B. Resor, and L. Manuel, AIAA2012-1288 (3.69MB PDF). Note that the site-average wind speed is 10 m/s (class I-B), not the 8.5 m/s reported in the paper.

  16. Catalog of databases and reports

    SciTech Connect (OSTI)

    Burtis, M.D. [comp.

    1997-04-01T23:59:59.000Z

    This catalog provides information about the many reports and materials made available by the US Department of Energy`s (DOE`s) Global Change Research Program (GCRP) and the Carbon Dioxide Information Analysis Center (CDIAC). The catalog is divided into nine sections plus the author and title indexes: Section A--US Department of Energy Global Change Research Program Research Plans and Summaries; Section B--US Department of Energy Global Change Research Program Technical Reports; Section C--US Department of Energy Atmospheric Radiation Measurement (ARM) Program Reports; Section D--Other US Department of Energy Reports; Section E--CDIAC Reports; Section F--CDIAC Numeric Data and Computer Model Distribution; Section G--Other Databases Distributed by CDIAC; Section H--US Department of Agriculture Reports on Response of Vegetation to Carbon Dioxide; and Section I--Other Publications.

  17. Glycan fragment database: a database of PDB-based glycan 3D structures

    E-Print Network [OSTI]

    Jo, Sunhwan; Im, Wonpil

    2012-10-25T23:59:59.000Z

    The glycan fragment database (GFDB), freely available at http://www.glycanstructure.org, is a database of the glycosidic torsion angles derived from the glycan structures in the Protein Data Bank (PDB). Analogous to protein ...

  18. U.S. LIFE CYCLE INVENTORY DATABASE Goals of the U.S. LCI Database Project

    E-Print Network [OSTI]

    U.S. LIFE CYCLE INVENTORY DATABASE ROADMAP rsed e #12;Goals of the U.S. LCI Database Project. Vision Statement The U.S. Life Cycle Inventory Database will be the recognized source of U.S.-based, quality, transparent life cycle inventory data and will become an integral part of the rapidly expanding

  19. Nuclear Databases: National Resource Nuclear databases consists of carefully organized scientific

    E-Print Network [OSTI]

    Ohta, Shigemi

    Nuclear Databases: National Resource Nuclear databases consists of carefully organized scientific information that has been gathered over 50 years of low-energy nuclear physics research worldwide. These powerful databases have enormous value and they represent a genuine national resource. Six core nuclear

  20. Database, Spatial Spatial databases are the foundation for computer-based applications involving spatially

    E-Print Network [OSTI]

    managed using a particular type of software called a database management system (DBMS) that allows, leading to spatio-temporal databases when geometric evolutions are supported. Spatial databases can be implemented in a GIS, in a computer-assisted design (CAD) system coupled with a DBMS, in a universal server

  1. Database Management Systems 3ed, R. Ramakrishnan and J. Gehrke 1 Database Management Systems

    E-Print Network [OSTI]

    Li, Yanjun "Lisa"

    What Is a DBMS? A database is a collection of data. Models real-world enterprise, e.g. university System (DBMS) is a software package designed to store and manage databases. #12;Database Management Systems 3ed, R. Ramakrishnan and J. Gehrke 3 Why we need DBMS Huge amount of data is available. Users need

  2. 1. Integrated Database 2. Boundary Analysis

    E-Print Network [OSTI]

    1. Integrated Database 2. Boundary Analysis Melinda Laituri Colorado State University June 2011 #12 data Model package/ Analysis technique #12;Establishing a Database What are our scales? What are our units of analysis? What commonality do we have? What is the nature of our data? What

  3. Evolution towards, in, and beyond Object Databases

    E-Print Network [OSTI]

    Scholl, Marc H.

    Evolution towards, in, and beyond Object Databases Marc H. Scholl and Markus Tresch Faculty ``evolution'' in the database arena. This paper tries to categorize some of these into a unique framework of ``external services'' to enrich DBMS functionalities. The following are presented in more detail: first, we

  4. REGULAR ENTRY IN ENCYCLOPEDIA OF DATABASE SYSTEMS

    E-Print Network [OSTI]

    Risch, Tore

    network. In a central DBMS the data is managed by one node whereas in a distributed DBMS the data is managed by several nodes. A distributed DBMS is a database manager consisting of several nodes distributed in the network. In a regular distributed DBMS it is up to the database administrator to manually specify how data

  5. DRAFT Chapter 1 Introduction to spatial databases

    E-Print Network [OSTI]

    Shekhar, Shashi

    . Today, data is housed in and managed via a database management system (DBMS). Databases and the software which manages them (DBMS) are the silent success story of the information age. They have slowly role of a DBMS has been that of a simple but e#11;ective warehouse of business and accounting data

  6. CALIFORNIA ENERGY Small HVAC Database Of Monitored

    E-Print Network [OSTI]

    CALIFORNIA ENERGY COMMISSION Small HVAC Database Of Monitored Information Database of Compiled of the Integrated Design of Small Commercial HVAC Systems research project. The reports are a result of funding: Productivity and Interior Environments Integrated Design of Large Commercial HVAC Systems Integrated Design

  7. Publication Kind Codes in STN Patent Databases

    E-Print Network [OSTI]

    Hoffmann, Armin

    Publication Kind Codes in STN Patent Databases Dokumentenart-Codes in STN-Patentdatenbanken Imprint Abstracts (CAPLUS), Chemical Abstracts (CAPLUS), Derwent World Patents Index (DWPI), and Derwent World Patents Index (DWPI)und INPADOCDB INPADOCDB international patent databases, together with a short

  8. Proposal for a High Energy Nuclear Database

    E-Print Network [OSTI]

    Vogt, D A B R

    2005-01-01T23:59:59.000Z

    We propose to develop a high-energy heavy-ion experimental database and make it accessible to the scientific community through an on-line interface. This database will be searchable and cross-indexed with relevant publications, including published detector descriptions. Since this database will be a community resource, it requires the high-energy nuclear physics community's financial and manpower support. This database should eventually contain all published data from Bevalac, AGS and SPS to RHIC and LHC energies, proton-proton to nucleus-nucleus collisions as well as other relevant systems, and all measured observables. Such a database would have tremendous scientific payoff as it makes systematic studies easier and allows simpler benchmarking of theoretical models to a broad range of old and new experiments. Furthermore, there is a growing need for compilations of high-energy nuclear data for applications including stockpile stewardship, technology development for inertial confinement fusion and target and ...

  9. Evolution of the Configuration Database Design

    SciTech Connect (OSTI)

    Salnikov, A

    2006-04-19T23:59:59.000Z

    The BABAR experiment at SLAC successfully collects physics data since 1999. One of the major parts of its on-line system is the configuration database which provides other parts of the system with the configuration data necessary for data taking. Originally the configuration database was implemented in the Objectivity/DB ODBMS. Recently BABAR performed a successful migration of its event store from Objectivity/DB to ROOT and this prompted a complete phase-out of the Objectivity/DB in all other BABAR databases. It required the complete redesign of the configuration database to hide any implementation details and to support multiple storage technologies. In this paper we describe the process of the migration of the configuration database, its new design, implementation strategy and details.

  10. Collod-Broud & Boileau The Marfan Mutation Database

    E-Print Network [OSTI]

    Paris-Sud XI, Universit de

    Collod-Broud & Boileau The Marfan Mutation Database Gwenalle Collod-Broud1 and Catherine Boileau created, in 1995, a mutation database named "UMD-FBN1". The database follows the guidelines on mutation databases of the Hugo Mutation Database Initiative and gives access to a software package that provides

  11. National Spill Test Technology Database

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

    Sheesley, David (Western Research Institute)

    Western Research Institute established, and ACRC continues to maintain, the National Spill Technology database to provide support to the Liquified Gaseous Fuels Spill Test Facility (now called the National HAZMAT Spill Center) as directed by Congress in Section 118(n) of the Superfund Amendments and Reauthorization Act of 1986 (SARA). The Albany County Research Corporation (ACRC) was established to make publicly funded data developed from research projects available to benefit public safety. The founders since 1987 have been investigating the behavior of toxic chemicals that are deliberately or accidentally spilled, educating emergency response organizations, and maintaining funding to conduct the research at the DOEs HAZMAT Spill Center (HSC) located on the Nevada Test Site. ACRC also supports DOE in collaborative research and development efforts mandated by Congress in the Clean Air Act Amendments. The data files are results of spill tests conducted at various times by the Silicones Environmental Health and Safety Council (SEHSC) and DOE, ANSUL, Dow Chemical, the Center for Chemical Process Safety (CCPS) and DOE, Lawrence Livermore National Laboratory (LLNL), OSHA, and DOT; DuPont, and the Western Research Institute (WRI), Desert Research Institute (DRI), and EPA. Each test data page contains one executable file for each test in the test series as well as a file named DOC.EXE that contains information documenting the test series. These executable files are actually self-extracting zip files that, when executed, create one or more comma separated value (CSV) text files containing the actual test data or other test information.

  12. The volatile compound BinBase mass spectral database

    E-Print Network [OSTI]

    Skogerson, Kirsten; Wohlgemuth, Gert; Barupal, Dinesh K; Fiehn, Oliver

    2011-01-01T23:59:59.000Z

    B, Eriksson R: SuperScent-a database of flavors and scents.Sayaed AM: The Pherobase: Database of Insect Pheromones andA public study design database for metabolomics projects.

  13. DATE A DAtabase of TIM Barrel 2.1 Introduction......................................................................................

    E-Print Network [OSTI]

    Babu, M. Madan

    24 DATE A DAtabase of TIM Barrel Enzymes 2.1 Introduction...................................................................................... 2.2 Objective and salient features of the database .................................... 2.2.1 Choice on the database............................................... 2.4 Features

  14. Proposed database model and file structures for arthropod collection management

    E-Print Network [OSTI]

    Mathis, Wayne N.

    Proposed database model and file structures for arthropod collection management Ronald A for taxonomic analysis or behavioral, physiological, and ecological information. The database model described how specific computerization projects can be related to each other. The proposed database model

  15. Database Structure and Visualization Software for Microbial Physiology Data INTRODUCTION

    E-Print Network [OSTI]

    Database Structure and Visualization Software for Microbial Physiology Data INTRODUCTION Nicholas includes database input. Other related information can be entered through the website. The relational structure of the database is responsible for associating related data A structured query is sent

  16. Visiting Database Programmer/Application Developer School of Chemical Sciences

    E-Print Network [OSTI]

    Zimmerman, Steven C.

    Visiting Database Programmer/Application Developer School of Chemical Sciences University professional as Visiting Database Programmer/Application Developer. This position reports to the Information administrative database environment (specifically Oracle and SQL Server). This is a visiting position, but may

  17. SPATIAL DATABASE MODELING WITH PICTOGRAMMIC LANGUAGES Yvan Bdard, Suzie Larrive

    E-Print Network [OSTI]

    SPATIAL DATABASE MODELING WITH PICTOGRAMMIC LANGUAGES Yvan Bdard, Suzie Larrive Dept of Geomatics Sciences Centre for Research in Geomatics Canada NSERC Industrial Research Chair in Geospatial Databases language extension, Spatial data modeling, Perceptory pictograms. DEFINITION "Spatial databases" consist

  18. US Department of Energy Chernobyl Database

    SciTech Connect (OSTI)

    Kennedy, R.A.; Mahaffey, J.A.; Smith, S.K.; Carr, F. Jr.

    1992-05-01T23:59:59.000Z

    The Chernobyl Database project is developing and maintaining an information to provide researchers with data and resource materials relating to the Chernobyl nuclear accident of April 1986. The system is the official United States repository for Chernobyl data. The system includes a collection of Chernobyl-related documents, a database of bibliographic references, and a collection of radiological measurements records. In addition, projects have been developed to make the resources more accessible and easy to use. These products include a personal-computer-based bibliographic search system (ChernoLit{trademark}), two printed bibliographies, and a personal- computer-based radiological measurements database system (ChernoDat).

  19. Attributes for Causal Inference in Electronic Healthcare Databases Jenna Reps, Jonathan M. Garibaldi,

    E-Print Network [OSTI]

    Aickelin, Uwe

    Attributes for Causal Inference in Electronic Healthcare Databases Jenna Reps, Jonathan M Spontaneous Reporting System (SRS) databases and Electronic Healthcare Databases (EHDs) are the databases

  20. EERE Project Management Center Database PIA, The Office of Energy...

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

    EERE Project Management Center Database PIA, The Office of Energy Efficiency and Renewable Energy (EERE) EERE Project Management Center Database PIA, The Office of Energy...

  1. An Infrared Spectral Database for Detection of Gases Emitted...

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

    Database for Detection of Gases Emitted by Biomass Burning. An Infrared Spectral Database for Detection of Gases Emitted by Biomass Burning. Abstract: We report the construction of...

  2. automated database mediation: Topics by E-print Network

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

    of database approach + Database Management System (DBMS) + Advantages of Using DBMS + Workers Adam, Salah 239 Mediated Homogenization Quantum Physics (arXiv) Summary:...

  3. AVTA: 2012 Chevrolet Volt PHEV Downloadable Dynamometer Database...

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

    Chevrolet Volt PHEV Downloadable Dynamometer Database Reports AVTA: 2012 Chevrolet Volt PHEV Downloadable Dynamometer Database Reports The Vehicle Technologies Office's Advanced...

  4. AVTA: 2012 Toyota Prius PHEV Downloadable Dynamometer Database...

    Energy Savers [EERE]

    Toyota Prius PHEV Downloadable Dynamometer Database Reports AVTA: 2012 Toyota Prius PHEV Downloadable Dynamometer Database Reports The Vehicle Technologies Office's Advanced...

  5. T-614: Cisco Unified Communications Manager Database Security...

    Energy Savers [EERE]

    614: Cisco Unified Communications Manager Database Security Vulnerability T-614: Cisco Unified Communications Manager Database Security Vulnerability May 3, 2011 - 7:37am Addthis...

  6. AVTA: 2010 Honda CR-Z Hybrid Downloadable Dynamometer Database...

    Energy Savers [EERE]

    CR-Z Hybrid Downloadable Dynamometer Database Reports AVTA: 2010 Honda CR-Z Hybrid Downloadable Dynamometer Database Reports The Vehicle Technologies Office's Advanced Vehicle...

  7. Database (Report) of U.S. CHP Installations Incorporating Thermal...

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

    Database (Report) of U.S. CHP Installations Incorporating Thermal Energy Storage (TES) andor Turbine Inlet Cooling (TIC), 2004 Database (Report) of U.S. CHP Installations...

  8. Heat Flow Database Expansion for NGDS Data Development, Collection...

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

    Heat Flow Database Expansion for NGDS Data Development, Collection and Maintenance (SMU) Heat Flow Database Expansion for NGDS Data Development, Collection and Maintenance (SMU)...

  9. Fault-tolerant distributed transactions for partitioned OLTP databases

    E-Print Network [OSTI]

    Jones, Evan P. C. (Evan Philip Charles), 1981-

    2012-01-01T23:59:59.000Z

    This thesis presents Dtxn, a fault-tolerant distributed transaction system designed specifically for building online transaction processing (OLTP) databases. Databases have traditionally been designed as general purpose ...

  10. The Tariff Analysis Project: A Database and Analysis Platform...

    Open Energy Info (EERE)

    Tariff Analysis Project: A Database and Analysis Platform for Electricity Tariffs Jump to: navigation, search Tool Summary LAUNCH TOOL Name: The Tariff Analysis Project: A Database...

  11. EM Develops Database for Efficient Solutions to Nuclear Cleanup...

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

    illustrate the benefits of the database. EM also shared the database with the UK's Nuclear Decommissioning Authority and the Canadian Nuclear Laboratories to identify remote...

  12. The LBNL Water Heater Retail Price Database

    E-Print Network [OSTI]

    Lekov, Alex; Glover, Julie; Lutz, Jim

    2000-01-01T23:59:59.000Z

    Olson, and Stuart Chaitkin (LBNL). We also want to thank ourand Mithra Moezzi, also of LBNL. This work was supported byLBNL 44749 The LBNL Water Heater Retail Price Database

  13. IFDB: Decentralized Information Flow Control for Databases

    E-Print Network [OSTI]

    Schultz, David

    Numerous sensitive databases are breached every year due to bugs in applications. These applications typically handle data for many users, and consequently, they have access to large amounts of confidential information.

  14. 6.893 Database Systems, Fall 2004

    E-Print Network [OSTI]

    Madden, Samuel R. (Samuel Ross), 1976-

    This course is designed to introduce graduate students to the foundations of database systems, focusing on basics such as the relational algebra and data model, query optimization, query processing, and transactions. This ...

  15. GWIDD: Genome-wide protein docking database

    E-Print Network [OSTI]

    Kundrotas, Petras J.; Zhu, Zhengwei; Vasker, Ilya A.

    2009-11-09T23:59:59.000Z

    Structural information on interacting proteins is important for understanding life processes at the molecular level. Genome-wide docking database is an integrated resource for structural studies of proteinprotein interactions on the genome scale...

  16. Enabling Geographical Queries to a Botanical Database

    E-Print Network [OSTI]

    Sato, Go

    2011-11-25T23:59:59.000Z

    Conservation of the lowland savanna ecosystem in Belize Project (Defra 17-022) has created a database of savanna plant collections in the country. Some of the collections have accurate positional coordinates measured by GPS devices while the others...

  17. Energy Citations Database (ECD) - Alerts Comments

    Office of Scientific and Technical Information (OSTI)

    Alerts Comments If you have a question about Energy Citations Database Alerts, we recommend you check frequently asked questions. If your question still has not been answered or if...

  18. Proposal for a High Energy Nuclear Database

    E-Print Network [OSTI]

    Brown, David A.; Vogt, Ramona

    2005-01-01T23:59:59.000Z

    Proposal for a High Energy Nuclear Database David A. Brown 1it requires the high-energy nuclear physics com- munitys ?compilations of high-energy nuclear data for applications

  19. Towards Privacy Preserving of Forensic DNA Databases

    E-Print Network [OSTI]

    Liu, Sanmin

    2012-02-14T23:59:59.000Z

    Protecting privacy of individuals is critical for forensic genetics. In a kinship/identity testing, related DNA profiles between user's query and the DNA database need to be extracted. However, unrelated profiles cannot be revealed to each other...

  20. Concentrations of indoor pollutants database: User's manual

    SciTech Connect (OSTI)

    Not Available

    1992-05-01T23:59:59.000Z

    This manual describes the computer-based database on indoor air pollutants. This comprehensive database alloys helps utility personnel perform rapid searches on literature related to indoor air pollutants. Besides general information, it provides guidance for finding specific information on concentrations of indoor air pollutants. The manual includes information on installing and using the database as well as a tutorial to assist the user in becoming familiar with the procedures involved in doing bibliographic and summary section searches. The manual demonstrates how to search for information by going through a series of questions that provide search parameters such as pollutants type, year, building type, keywords (from a specific list), country, geographic region, author's last name, and title. As more and more parameters are specified, the list of references found in the data search becomes smaller and more specific to the user's needs. Appendixes list types of information that can be input into the database when making a request. The CIP database allows individual utilities to obtain information on indoor air quality based on building types and other factors in their own service territory. This information is useful for utilities with concerns about indoor air quality and the control of indoor air pollutants. The CIP database itself is distributed by the Electric Power Software Center and runs on IBM PC-compatible computers.

  1. DIP: The Database of Interacting Proteins

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

    The DIP Database catalogs experimentally determined interactions between proteins. It combines information from a variety of sources to create a single, consistent set of protein-protein interactions. By interaction, the DIP Database creators mean that two amino acid chains were experimentally identified to bind to each other. The database lists such pairs to aid those studying a particular protein-protein interaction but also those investigating entire regulatory and signaling pathways as well as those studying the organisation and complexity of the protein interaction network at the cellular level. The data stored within the DIP database were curated, both, manually by expert curators and also automatically using computational approaches that utilize the knowledge about the protein-protein interaction networks extracted from the most reliable, core subset of the DIP data. It is a relational database that can be searched by protein, sequence, motif, article information, and pathBLAST. The website also serves as an access point to a number of projects related to DIP, such as LiveDIP, The Database of Ligand-Receptor Partners (DLRP) and JDIP. Users have free and open access to DIP after login. [Taken from the DIP Guide and the DIP website] (Specialized Interface) (Registration Required)

  2. Development of the downhole dynamometer database

    SciTech Connect (OSTI)

    Waggoner, J.R.; Mansure, A.

    1997-02-01T23:59:59.000Z

    The Downhole Dynamometer Database is a compilation of test data collected with a set of five downhole tools built by Albert Engineering under contract to Sandia National Laboratories. The downhole dynamometer tools are memory tools deployed in the sucker rod string with sensors to measure pressure, temperature, load, and acceleration. The acceleration data is processed to yield position, so that a load vs. position dynagraph can be generated using data collected downhole. With five tools in the hole at one time, all measured data and computed dynagraphs from five different positions in the rod string are available. The purpose of the Database is to provide industry with a complete and high quality measurement of downhole sucker rod pumping dynamics. To facilitate use of the database, Sandia has developed a Microsoft Windows-based interface that functions as a visualizer and browser to the more than 40 MBytes of data. The interface also includes a data export feature to allow users to extract data from the database for use in their own programs. This paper includes a description of the downhole dynamometer tools, data collection program, database content, and a few illustrations of the data contained in the downhole dynamometer database.

  3. Proposal for a High Energy Nuclear Database

    SciTech Connect (OSTI)

    Brown, David A.; Vogt, Ramona

    2005-03-31T23:59:59.000Z

    We propose to develop a high-energy heavy-ion experimental database and make it accessible to the scientific community through an on-line interface. This database will be searchable and cross-indexed with relevant publications, including published detector descriptions. Since this database will be a community resource, it requires the high-energy nuclear physics community's financial and manpower support. This database should eventually contain all published data from Bevalac and AGS to RHIC to CERN-LHC energies, proton-proton to nucleus-nucleus collisions as well as other relevant systems, and all measured observables. Such a database would have tremendous scientific payoff as it makes systematic studies easier and allows simpler benchmarking of theoretical models to a broad range of old and new experiments. Furthermore, there is a growing need for compilations of high-energy nuclear data for applications including stockpile stewardship, technology development for inertial confinement fusion and target and source development for upcoming facilities such as the Next Linear Collider. To enhance the utility of this database, we propose periodically performing evaluations of the data and summarizing the results in topical reviews.

  4. Managing and Querying Transaction-time Databases under Schema Evolution

    E-Print Network [OSTI]

    Zaniolo, Carlo

    problem of managing the history of database in- formation is now made more urgent and complex by fast evolution history. 1. INTRODUCTION The ability of archiving past database information and supporting when it comes to preservation of the database history. Converting the old database to a new one after

  5. Triggers on Database Histories A. Prasad Sistla Ouri Wolfson

    E-Print Network [OSTI]

    Wolfson, Ouri E.

    Triggers on Database Histories A. Prasad Sistla Ouri Wolfson Department of Electrical Engineering of the database state over time (i.e. the database history). For example, in securities trading, the system may to the database history. The following temporal trigger is one such example--- the value of attribute A increases

  6. Database System Concepts, 5th Ed. Silberschatz, Korth and Sudarshan

    E-Print Network [OSTI]

    Dragan, Feodor F.

    Overall Structure History of Database Systems #12;©Silberschatz, Korth and Sudarshan1.3Database SystemDatabase System Concepts, 5th Ed. ©Silberschatz, Korth and Sudarshan See www, Korth and Sudarshan1.2Database System Concepts - 5th Edition, May 23, 2005 Chapter 1: Introduction

  7. MARS CLIMATE DATABASE v5.1 USER MANUAL

    E-Print Network [OSTI]

    Spiga, Aymeric

    MARS CLIMATE DATABASE v5.1 USER MANUAL (ESTEC Contract 11369/95/NL/JG "Mars Climate Database for version 5.1 of the Mars Climate Database (MCD) de- veloped by LMD (Paris), AOPP (Oxford), Dept. Physics and the Centre National d'Etudes Spatiales. This is a database of atmospheric statistics compiled from Global Cli

  8. October 6, 1997 ITER L-Mode Con nement Database

    E-Print Network [OSTI]

    October 6, 1997 ITER L-Mode Con nement Database S.M. Kaye and the ITER Con nement Database Working Group Abstract This paper describes the content of an L-mode database that has been compiled with data, and Tore-Supra. The database consists of a total of 2938 entries, 1881 of which are in the L-phase while

  9. Data Preparation Process for the Buildings Performance Database

    E-Print Network [OSTI]

    LBNL-6724E Data Preparation Process for the Buildings Performance Database Claudine Y. Custodio Performance Database (BPD) includes empirically measured data from a variety of data sources with varying data quality within the database and to ensure that all database entries have sufficient data

  10. A Database of Invariant Rings Gregor Kemper, Elmar K

    E-Print Network [OSTI]

    Malle, Gunter

    A Database of Invariant Rings Gregor Kemper, Elmar K ? ording, Gunter Malle, B. Heinrich Matzat, Denis Vogel, and Gabor Wiese CONTENTS 1. Introduction 2. Concepts of the Database 3. An Example Session/8­2 (``Invariantentheorie endlicher Gruppen''). We announce the creation of a database of invariant rings. This database

  11. Database System Concepts, 5th Ed. Silberschatz, Korth and Sudarshan

    E-Print Network [OSTI]

    Dragan, Feodor F.

    Database System Concepts, 5th Ed. ©Silberschatz, Korth and Sudarshan See www.db-book.com for conditions on re-use Chapter 7: Relational Database DesignChapter 7: Relational Database Design #12;©Silberschatz, Korth and Sudarshan7.2Database System Concepts - 5th Edition, Oct 5, 2006 Chapter 7: Relational

  12. Insights from the downhole dynamometer database

    SciTech Connect (OSTI)

    Waggoner, J.R.

    1997-03-01T23:59:59.000Z

    The Downhole Dynamometer Database is a compilation of test data collected with a set of five downhole tools built by Albert Engineering under contract to Sandia National Laboratories. The downhole dynamometer tools are memory tools deployed in the sucker rod string with sensors to measure pressure, temperature, load, and acceleration. The acceleration data is processed to yield position, so that a load vs. position dynagraph can be generated using data collected downhole. With five tools in the hole at one time, all measured data and computed dynagraphs from five different positions in the rod string are available. The purpose of the Database is to provide industry with a complete and high quality measurement of downhole sucker rod pumping dynamics. To facilitate use of the database, Sandia has developed a Microsoft Windows-based interface that functions as a visualizer and browser to the more than 40 MBytes of data. The interface also includes a data export feature to allow users to extract data from the database for use in their own programs. Following a brief description of the downhole dynamometer tools, data collection program, and database content, this paper will illustrate a few of the interesting and unique insights gained from the downhole data.

  13. March 23, 2008 Databases: Practical DB Design 1 Practical Database Design

    E-Print Network [OSTI]

    Adam, Salah

    approach towards development of information system, called, Information System Development Life Cycle. #12 of Information Systems in Organizations + Why Organizations Use DB Systems + Information System Life Cycle System Life Cycle ... Database DBMS Users Users #12;March 23, 2008 Databases: Practical DB Design 8

  14. A Common Database Interface (DBI) R-Databases Special Interest Group

    E-Print Network [OSTI]

    Bain, Mike

    ) and database management systems (DBMS). The interface defines a small set of classes and methods similar;2 Introduction The database interface (DBI) separates the connectivity to the DBMS into a "front-end" and a "back-end". Applications use only the exposed "front-end" API. The facilities that communicate with specific DBMS (Oracle

  15. ITER L-Mode Confinement Database

    SciTech Connect (OSTI)

    S.M. Kaye and the ITER Confinement Database Working Group

    1997-10-01T23:59:59.000Z

    This paper describes the content of an L-mode database that has been compiled with data from Alcator C-Mod, ASDEX, DIII, DIII-D, FTU, JET, JFT-2M, JT-60, PBX-M, PDX, T-10, TEXTOR, TFTR, and Tore-Supra. The database consists of a total of 2938 entries, 1881 of which are in the L-phase while 922 are ohmically heated (OH) only. Each entry contains up to 95 descriptive parameters, including global and kinetic information, machine conditioning, and configuration. The paper presents a description of the database and the variables contained therein, and it also presents global and thermal scalings along with predictions for ITER. The L-mode thermal confinement time scaling was determined from a subset of 1312 entries for which the thermal confinement time scaling was provided.

  16. The JANA Calibrations and Conditions Database API

    SciTech Connect (OSTI)

    David Lawrence

    2010-07-01T23:59:59.000Z

    Calibrations and conditions databases can be accessed from within the JANA Event Processing framework through the API defined in its JCalibration base class. The API is designed to support everything from databases, to web services to flat files for the backend. A Web Service backend using the gSOAP toolkit has been implemented which is particularly interesting since it addresses many modern cybersecurity issues including support for SSL. The API allows constants to be retrieved through a single line of C++ code with most of the context, including the transport mechanism, being implied by the run currently being analyzed and the environment relieving developers from implementing such details.

  17. Lessons Learned From Developing Reactor Pressure Vessel Steel Embrittlement Database

    SciTech Connect (OSTI)

    Wang, Jy-An John [ORNL

    2010-08-01T23:59:59.000Z

    Materials behaviors caused by neutron irradiation under fission and/or fusion environments can be little understood without practical examination. Easily accessible material information system with large material database using effective computers is necessary for design of nuclear materials and analyses or simulations of the phenomena. The developed Embrittlement Data Base (EDB) at ORNL is this comprehensive collection of data. EDB database contains power reactor pressure vessel surveillance data, the material test reactor data, foreign reactor data (through bilateral agreements authorized by NRC), and the fracture toughness data. The lessons learned from building EDB program and the associated database management activity regarding Material Database Design Methodology, Architecture and the Embedded QA Protocol are described in this report. The development of IAEA International Database on Reactor Pressure Vessel Materials (IDRPVM) and the comparison of EDB database and IAEA IDRPVM database are provided in the report. The recommended database QA protocol and database infrastructure are also stated in the report.

  18. Qunits: queried units in database search

    E-Print Network [OSTI]

    Nandi, Arnab

    2009-01-01T23:59:59.000Z

    Keyword search against structured databases has become a popular topic of investigation, since many users find structured queries too hard to express, and enjoy the freedom of a ``Google-like'' query box into which search terms can be entered. Attempts to address this problem face a fundamental dilemma. Database querying is based on the logic of predicate evaluation, with a precisely defined answer set for a given query. On the other hand, in an information retrieval approach, ranked query results have long been accepted as far superior to results based on boolean query evaluation. As a consequence, when keyword queries are attempted against databases, relatively ad-hoc ranking mechanisms are invented (if ranking is used at all), and there is little leverage from the large body of IR literature regarding how to rank query results. Our proposal is to create a clear separation between ranking and database querying. This divides the problem into two parts, and allows us to address these separately. The first tas...

  19. CEBAF Large Acceptance Spectrometer (CLAS) Physics Database

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

    A username and password are required to access and search the entire database. However, the Overview page provides links to detailed data pages for each of the experiments available for public access. There are many experiments with data that the public can freely access.

  20. Capturing Database Transformations for Big Data Analytics

    E-Print Network [OSTI]

    Ordonez, Carlos

    of Houston DBMS #12;Organization · Introduction · Classification · Program · Case Study · Conclusions DBMS Transformations to Build Data Sets for Data Mining, Data & Knowledge Engineering (DKE), 2014, Elsevier. DBMS #12 for this project might remain in the database, using resources. DBMS #12;Motivation: Saving Work · Different users

  1. A Database in Every Sensor Nicolas Tsiftes

    E-Print Network [OSTI]

    Dunkels, Adam

    a database management system (DBMS), provid- ing a rich query interface to the flash storage of the node, we present Antelope, a complete DBMS for resource-constrained sen- sor devices, and a new flash indexing method called Max- Heap. Antelope, which to the best of our knowledge is the first DBMS

  2. Knowledge Discovery in Spatial Databases Martin Ester

    E-Print Network [OSTI]

    Ester, Martin

    and their interactions with each other. Most companies, governmental agencies and scientific organizations use DBMS with ex­ isting DBMS. Thus, the second goal is to propose methods of efficiently supporting spatial data mining algorithms by a DBMS. Our approach centers around a new set of database primitives for mining

  3. WORKLOAD ADAPTATION IN AUTONOMIC DATABASE MANAGEMENT SYSTEMS

    E-Print Network [OSTI]

    in Autonomic DBMSs", Proceedings of the 2nd International Workshop on Self-Managing Database Systems (SMDB 2007 to meet its Service Level Objectives (SLOs). It is a challenge to adapt multiple workloads with complex scheduler that performs workload adaptation in a DBMS, as the test bed to prove the effectiveness

  4. Exam revision Database Systems Lecture 18

    E-Print Network [OSTI]

    Alechina, Natasha

    revision Example (coursework 5) · {Film} {Certificate} is a non-trivial functional dependency · {Cinema(A,B,C), candidate keys (A,B) and (A,C), fd B C. #12;Exam revision Example (coursework 5) · Relation ListingExam revision Database Systems Lecture 18 Natasha Alechina #12;Exam revision In This Lecture · Exam

  5. Exam revision Database Systems Lecture 18

    E-Print Network [OSTI]

    Alechina, Natasha

    ,B) and (A,C), fd B C. #12;3 Exam revision Example (coursework 5) · Relation Listing is not in 2NF because1 Exam revision Database Systems Lecture 18 Natasha Alechina Exam revision In This Lecture · Exam format · Main topics · How to revise Exam revision Exam format · Answer three questions out of five

  6. Hypercat : A Database for extragalactic astronomy

    E-Print Network [OSTI]

    Ph. Prugniel; G. Maubon

    1999-10-01T23:59:59.000Z

    The Hypercat Database is developed at Observatoire de Lyon and is distributed on the WEB through different mirrors in Europe. The goal of Hypercat is to gather data necessary for studying the evolution of galaxies (dynamics and stellar contains) and particularly for providing a z=0 reference for these studies.

  7. Interactive Database Access with Statistics and Graphics

    E-Print Network [OSTI]

    Princeton Plasma Physics Laboratory

    DbAccess The Manual Interactive Database Access with Statistics and Graphics Version 2.1.1 D. M and graphical needs of NSTX Physicists. Flexible views and joins are possible, including options for complex SQL General Atomics (GA Plot Objects) adds extensive graphical and interactive capabilities (and documentation

  8. Community Connections Database (CCDB)Community Connections Database (CCDB) Instructions for Students (CSL-4S)Instructions for Students (CSL-4S)

    E-Print Network [OSTI]

    Community Connections Database (CCDB)Community Connections Database (CCDB) Instructions for Students (CSL-4S)Instructions for Students (CSL-4S) The Community Connections Database (CCDB) allows Connections Database (CCDB) allows students to search for community service learning opportunities

  9. Optimizing database-backed applications with query synthesis

    E-Print Network [OSTI]

    Cheung, Alvin K.

    Object-relational mapping libraries are a popular way for applications to interact with databases because they provide transparent access to the database using the same language as the application. Unfortunately, using ...

  10. NOAA Atlas NESDIS 72 WORLD OCEAN DATABASE 2013

    E-Print Network [OSTI]

    NOAA Atlas NESDIS 72 WORLD OCEAN DATABASE 2013 Timothy P. Boyer, John I. Antonov, Olga K. Baranova, World Ocean Database 2013. Sydney Levitus, Ed.; Alexey Mishonov, Technical Ed.; NOAA Atlas NESDIS 72........................................................................................................... 14 1.1.1. History

  11. Human sciences The human sciences database contains approximately 254 academic

    E-Print Network [OSTI]

    Human sciences The human sciences database contains approximately 254 academic journals and statistical reports on the following subjects: (comparative literature, theology, history and geography, education, psychology, arts, languages and Library Science) Social sciences The social sciences database

  12. Novel applications of data mining methodologies to incident databases

    E-Print Network [OSTI]

    Anand, Sumit

    2006-08-16T23:59:59.000Z

    Incident databases provide an excellent opportunity to study the repeated situations of incidents in the process industry. The databases give an insight into the situation which led to an incident, and if studied properly can help monitor...

  13. Fear and desire in systems design : negotiating database usefulness

    E-Print Network [OSTI]

    Agrawal, Tanu

    2008-01-01T23:59:59.000Z

    Databases are ubiquitous. They are used for a host of functions including coordination, decision making, and memory archiving. Despite their importance and ubiquity, databases continue to frustrate us, often departing from ...

  14. Query execution in column-oriented database systems

    E-Print Network [OSTI]

    Abadi, Daniel J

    2008-01-01T23:59:59.000Z

    There are two obvious ways to map a two-dimension relational database table onto a one-dimensional storage interface: store the table row-by-row, or store the table column-by-column. Historically, database system implementations ...

  15. Query-based database policy assurance using semantic web technologies

    E-Print Network [OSTI]

    Soltren, Jos Hiram

    2009-01-01T23:59:59.000Z

    In this thesis, we present a novel approach to database security which looks at queries instead of the database tables themselves. In doing so, we use a number of Semantic Web technologies to define rules, translate queries, ...

  16. March 23, 2008 Databases: Information Systems 1 Information Systems

    E-Print Network [OSTI]

    Adam, Salah

    March 23, 2008 Databases: Information Systems 1 Information Systems #12;March 23, 2008 Databases: Information Systems 2 Objectives What is an Information System (IS) + Classification of Information Systems + Evolution of Information Systems + Information System Management + Performance Requirements of ISs + #12

  17. DAPS: Database of Aligned Protein Structures

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

    Mallick, Parag; Rice, Danny; Eisenberg, David

    How is DAPS constructed? We begin with the set of all chains from the current release of the PDB. An all on all search is done on the list to find pairs that have the same fold acoording to both the FSSP and CATH databases and clustered into groups by a representative structure (representative structures have less than 25% sequence identity to each other). For each protein pair, regions aligned by the DALI program are extracted from the corresponding FSSP file, or recomputed using DALI-lite. In domain DAPS, only regions that are called "domains" by CATH are included in the alignment. The amino acid type, secondary structure type, and solvent accessibility are extracted from the DSSP file and written pairwise into the database. DAPS is updated with updates of CATH.[Taken from http://nihserver.mbi.ucla.edu/DAPS/daps_help.html

  18. Rocky Mountain Basins Produced Water Database

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

    Historical records for produced water data were collected from multiple sources, including Amoco, British Petroleum, Anadarko Petroleum Corporation, United States Geological Survey (USGS), Wyoming Oil and Gas Commission (WOGC), Denver Earth Resources Library (DERL), Bill Barrett Corporation, Stone Energy, and other operators. In addition, 86 new samples were collected during the summers of 2003 and 2004 from the following areas: Waltman-Cave Gulch, Pinedale, Tablerock and Wild Rose. Samples were tested for standard seven component "Stiff analyses", and strontium and oxygen isotopes. 16,035 analyses were winnowed to 8028 unique records for 3276 wells after a data screening process was completed. [Copied from the Readme document in the zipped file available at http://www.netl.doe.gov/technologies/oil-gas/Software/database.html] Save the Zipped file to your PC. When opened, it will contain four versions of the database: ACCESS, EXCEL, DBF, and CSV formats. The information consists of detailed water analyses from basins in the Rocky Mountain region.

  19. REALTIME DATABASE SYSTEMS: ARCHITECTURE AND TECHNIQUES

    E-Print Network [OSTI]

    Ramamritham, Krithi

    monitoring 175 13.3 ECA rule extended with temporal attributes 178 13.4 Response time in a real­time system using ECA paradigm. 182 14.1 A Real Time Database System 188 14.2 Maximum Age (MA) and Unapplied Update (UU) 192 14.3 Inter­arrival distribution of the stock price updates of G.E. on 94/1/3. 194 14

  20. Accelerating semantic graph databases on commodity clusters

    SciTech Connect (OSTI)

    Morari, Alessandro; Castellana, Vito G.; Haglin, David J.; Feo, John T.; Weaver, Jesse R.; Tumeo, Antonino; Villa, Oreste

    2013-10-06T23:59:59.000Z

    We are developing a full software system for accelerating semantic graph databases on commodity cluster that scales to hundreds of nodes while maintaining constant query throughput. Our framework comprises a SPARQL to C++ compiler, a library of parallel graph methods and a custom multithreaded runtime layer, which provides a Partitioned Global Address Space (PGAS) programming model with fork/join parallelism and automatic load balancing over a commodity clusters. We present preliminary results for the compiler and for the runtime.

  1. Preparing a public database of radio sources

    E-Print Network [OSTI]

    H. Andernach; S. A. Trushkin; A. G. Gubanov; O. V. Verkhodanov; V. B. Titov; A. Micol

    1996-07-22T23:59:59.000Z

    We have collected the largest existing set of radio source lists in machine-readable form: 320 tables with 1.75 million records. Only a minor fraction of these is accessible via public databases. We describe our plans to make this huge amount of heterogeneous data accessible in a homogeneous way via the World Wide Web, with reliable cross-identifications, and searchable by various observables.

  2. Nama Database Wiki | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia: Energy Resources Jump to:46 -Energieprojekte3Informationof Energy Calculator29 JumpNama Database Wiki Jump

  3. National Solar Radiation Database | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia: Energy Resources Jump to:46 -Energieprojekte3InformationofServices TMS Inc | OpenInformationDatabase, or

  4. International Forest Policy Database | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia: Energy Resources Jump to:46 - 429 Throttled (bot load)International Association ofInternationalPolicy Database

  5. A database for the study of marine mammal behavior: Gap analysis, data standardization, and future directions

    E-Print Network [OSTI]

    Shaffer, S A; Costa, Daniel P

    2006-01-01T23:59:59.000Z

    directly for copies of the database and bib- liography. RCommunication _____________ A Database for the Study ofAbstractA relational database that contained published

  6. THERMODYNAMIC TABLES FOR NUCLEAR WASTE ISOLATION, V.1: AQUEOUS SOLUTIONS DATABASE

    E-Print Network [OSTI]

    Phillips, S.L.; Hale, F.V.; Silvester, L.F.

    2008-01-01T23:59:59.000Z

    Vol. I. Aq~leous Solutions Database D L S.1,. Philiips, F.V.Vol 1. Aqueous Solutions Database Sidney L. Phillips, FrankDatabase ..

  7. Reliable and Adaptable Security Engineering for Database-Web Services

    E-Print Network [OSTI]

    Kemper, Alfons

    Reliable and Adaptable Security Engineering for Database-Web Services Martin Wimmer , Daniela,ehrnlech}@db.fmi.uni-passau.de Abstract. The situation in engineering security for Web services that access databases is as follows of sophisticated access control concepts for e-services. When engineering Web services that depend on databases

  8. LESSONS LEARNED AND BEST PRACTICES DATABASE USER MANUAL

    E-Print Network [OSTI]

    LESSONS LEARNED AND BEST PRACTICES DATABASE USER MANUAL OIA-OCA-0002, Rev. 0 Effective Date: June Lessons Learned and Best Practices Database User Manual RECORD OF REVISION Revision Number Date Approved.............................................................. 26 #12;OIA-OCA-0002, Rev. 0 Page 4 of 26 Lessons Learned and Best Practices Database User Manual 1

  9. Handling Database Updates in Two-dimensional Temporal Logic

    E-Print Network [OSTI]

    Finger, Marcelo

    describing the history of the world, the database system can also execute temporal speci cations in the form a reference point or a reference time. If we apply these concepts to the description of databases, the history the history of the world (database), and action is to be executed upon the world in the present or future time

  10. Analysing the Entire Wikipedia History with Database Supported Haskell

    E-Print Network [OSTI]

    Grust, Torsten

    Analysing the Entire Wikipedia History with Database Supported Haskell George Giorgidze1 , Torsten the entire Wikipedia history. DSH is a novel high-level database query facility allowing for the for on our experience of using Database Supported Haskell (DSH) [4] for analysing the entire history

  11. Temporal Conditions and Integrity Constraints in Active Database Systems \\Lambda

    E-Print Network [OSTI]

    Wolfson, Ouri E.

    database history. The evaluation algorithm is also an add­on component, executed on top of, and usingTemporal Conditions and Integrity Constraints in Active Database Systems \\Lambda A. Prasad Sistla, for specifying conditions and events in the rules for active database sys­ tem. This language permits

  12. Bridging Relational Database History and the Web: the XML Approach

    E-Print Network [OSTI]

    Zaniolo, Carlo

    Bridging Relational Database History and the Web: the XML Approach Fusheng Wang Integrated Data and queries, and make it easy to pub- lish database history to the Web. In this paper, we focus on the problem of preserving, publishing, and querying ef- ficiently the history of a relational database. Past research

  13. Performance Modeling and Access Methods for Temporal Database Management Systems

    E-Print Network [OSTI]

    North Carolina at Chapel Hill, University of

    implementation issues. Database systems with temporal support maintain history data on line together with current. Performance Modeling and Access Methods for Temporal Database Management Systems TR86-018 August. #12;Performance Modeling and Access Methods for Temporal Database Management Systems by Ilsoo Ahn

  14. Navigocorpus: A Database for Shipping Information A Methodological and

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    of Maritime History XXIII, 2 (2011) 241-262" #12;Jean-Pierre Dedieu, et al. the database on-line beginningNavigocorpus: A Database for Shipping Information ­ A Methodological and Technical Introduction and stored them in databases which are generally organized according to the nature of the sources used

  15. Preserving and Querying Histories of XML-Published Relational Databases

    E-Print Network [OSTI]

    Zaniolo, Carlo

    Preserving and Querying Histories of XML-Published Relational Databases Fusheng Wang and Carlo the evolution history of such a view as yet another XML document, whereby the complete history of the database, and identify and select those which are best for representing and querying database histories. We show

  16. Database System Concepts, 5th Ed. Silberschatz, Korth and Sudarshan

    E-Print Network [OSTI]

    Dragan, Feodor F.

    Database System Concepts, 5th Ed. ©Silberschatz, Korth and Sudarshan See www and Sudarshan2.2Database System Concepts - 5th Edition, Oct 5, 2006 Chapter 2: Relational ModelChapter 2: Relational Model Structure of Relational Databases Fundamental Relational-Algebra-Operations Additional

  17. Banner Database Clone Request Form ETSU Office of Information Technology

    E-Print Network [OSTI]

    Karsai, Istvan

    Banner Database Clone Request Form ETSU Office of Information Technology 424 Roy S. Nicks Hall, Box Instance: Clone Destination Instance: PROD TSTH TSTH TEST TEST Requested Banner database clone dates: [ clone on/after date ] [ clone required by date ] Banner database clone special requests

  18. Database Managament IS&M Option Mark Levene

    E-Print Network [OSTI]

    Levene, Mark

    Database Managament IS&M Option Mark Levene Email: m.levene@dcs.bbk.ac.uk Web: http://www.dcs.bbk.ac.uk/~mark/ Lecture Plan 1. Introduction to Databases 2. Data Modelling with the Entity-Relationship Model 3 and Referential Integrity 4. Querying a Relational Database (a) Querying a Single Table (b) Aggregating

  19. SPIKE: a database of highly curated human signaling pathways

    E-Print Network [OSTI]

    Avraham, Karen

    SPIKE: a database of highly curated human signaling pathways Arnon Paz1 , Zippora Brownstein1 Knowledge Engine; http:// www.cs.tau.ac.il/spike/) is a database for achieving this goal, containing highly on the nature of each interaction. To make database population and pathway comprehension straightforward

  20. Faculty Database User Instructions Spectral Fusion Designs Page 1

    E-Print Network [OSTI]

    Chu, Xi

    Faculty Database User Instructions Spectral Fusion Designs Page 1 Faculty, Staff, and Student Instructions Introduction The Faculty Database is a tool created by Spectral Fusion Designs (SFD faculty, staff, or graduate students must be added to the Faculty Database by departmental administrators