Sample records for 60-month revenue prior

  1. The 60-month all-sky BAT Survey of AGN and the Anisotropy of Nearby AGN

    SciTech Connect (OSTI)

    Ajello, M.; /KIPAC, Menlo Park; Alexander, D.M.; /Durham U.; Greiner, J.; /Garching, Max Planck Inst., MPE; Madejski, G.M.; /KIPAC, Menlo Park; Gehrels, N.; /NASA, Goddard; Burlon, D.; /Garching, Max Planck Inst., MPE

    2012-04-02T23:59:59.000Z

    Surveys above 10 keV represent one of the the best resources to provide an unbiased census of the population of Active Galactic Nuclei (AGN). We present the results of 60 months of observation of the hard X-ray sky with Swift/BAT. In this timeframe, BAT detected (in the 15-55 keV band) 720 sources in an all-sky survey of which 428 are associated with AGN, most of which are nearby. Our sample has negligible incompleteness and statistics a factor of {approx}2 larger over similarly complete sets of AGN. Our sample contains (at least) 15 bona-fide Compton-thick AGN and 3 likely candidates. Compton-thick AGN represent a {approx}5% of AGN samples detected above 15 keV. We use the BAT dataset to refine the determination of the LogN-LogS of AGN which is extremely important, now that NuSTAR prepares for launch, towards assessing the AGN contribution to the cosmic X-ray background. We show that the LogN-LogS of AGN selected above 10 keV is now established to a {approx}10% precision. We derive the luminosity function of Compton-thick AGN and measure a space density of 7.9{sub -2.9}{sup +4.1} x 10{sup -5} Mpc{sup -3} for objects with a de-absorbed luminosity larger than 2 x 10{sup 42} erg s{sup -1}. As the BAT AGN are all mostly local, they allow us to investigate the spatial distribution of AGN in the nearby Universe regardless of absorption. We find concentrations of AGN that coincide spatially with the largest congregations of matter in the local ({le} 85 Mpc) Universe. There is some evidence that the fraction of Seyfert 2 objects is larger than average in the direction of these dense regions.

  2. OPEC Revenues Fact Sheet

    Reports and Publications (EIA)

    2013-01-01T23:59:59.000Z

    This report includes estimates of OPEC net oil export revenues, based on historical estimates and forecasts from the latest Energy Information Administration (EIA) Short-Term Energy Outlook.

  3. Electric $ales and revenue 1995

    SciTech Connect (OSTI)

    NONE

    1996-12-01T23:59:59.000Z

    This publication provides information on electricity sales, associated revenue, average revenue per kilowatthour sold, and number of consumers in the United States.

  4. The revenue imperative

    E-Print Network [OSTI]

    Flaherty, Jane

    2000-01-01T23:59:59.000Z

    the war. Further, by reviewing the tariff history of the antebellum era, I find that the revenue imperative, more than a desire to impose a "protectionist" or "free trade" doctrine, motivated changes in antebellum tariff legislation....

  5. The Costs and Revenues of

    E-Print Network [OSTI]

    The Costs and Revenues of Transformation to Continuous Cover Forestry Owen Davies & Gary Kerr March 2011 #12;2 | Costs and Revenues of CCF | Owen Davies & Gary Kerr | March 2011 Costs and Revenues of CCF The costs and revenues of transformation to continuous cover forestry: Modelling silvicultural options

  6. Electric sales and revenue: 1993

    SciTech Connect (OSTI)

    Not Available

    1995-01-01T23:59:59.000Z

    The Electric Sales and Revenue is prepared by the Survey Management Division, Office of Coal, Nuclear, Electric and Alternate Fuels; Energy Information Administration (EIA); US Department of Energy. This publication provides information about sales of electricity, its associated revenue, and the average revenue per kilowatthour sold to residential, commercial, industrial, and other consumers throughout the United States. The sales, revenue, and average revenue per kilowatthour data provided in the Electric Sales and Revenue are based on annual data reported by electric utilities for the calendar year ending December 31, 1993. Operating revenue includes energy charges, demand charges, consumer service charges, environmental surcharges, fuel adjustments, and other miscellaneous charges. The revenue does not include taxes, such as sales and excise taxes, that are assessed on the consumer and collected through the utility. Average revenue per kilowatthour is defined as the cost per unit of electricity sold and is calculated by dividing retail sales into the associated electric revenue. Because electric rates vary based on energy usage, average revenue per kilowatthour are affected by changes in the volume of sales. The sales of electricity, associated revenue, and average revenue per kilowatthour data provided in this report are presented at the national, Census division, State, and electric utility levels.

  7. Electric sales and revenue 1996

    SciTech Connect (OSTI)

    NONE

    1997-12-01T23:59:59.000Z

    Information is provided on electricity sales, associated revenue, average revenue per kilowatthour sold, and number of consumers throughout the US. The data provided in the Electric Sales and Revenue are presented at the national, Census division, State, and electric utility levels. The information is based on annual data reported by electric utilities for the calendar year ending December 31, 1996. 16 figs., 20 tabs.

  8. Capital and revenue expenditures

    E-Print Network [OSTI]

    Owens, Jack Bailey

    1948-01-01T23:59:59.000Z

    T and Charaoteristios of Various Expenditures ~ ~ 7 III. Bases for Expenditure Classifioationi ~ ~ ~ ~ ~ ~ ~ ~ r ~ ' ~ IV ~ Methods of kooountiag for Capital and Revenue Expenditure( ~ ~ I CkPITLL ERE RKVRRUm bXPLM)ITURkiS ISTRORUGTIOR kn ?ttonpt will be made... not tahe tho plass of asy asset or part of aa asset already onistiag Ln a business, but give tho already sainting fined asset ealues an a44ed physioal value whioh they did not previously possess ~ Additions rosoable original oost in that both...

  9. Local Government Revenue Bonds (Montana)

    Broader source: Energy.gov [DOE]

    Limited obligation local government bonds ("special revenue bonds") may be issued for qualified electric energy generation facilities, including those powered by renewables. These bonds generally...

  10. Electric sales and revenue 1994

    SciTech Connect (OSTI)

    NONE

    1995-11-01T23:59:59.000Z

    The Electric Sales and Revenue is prepared by the Coal and Electric Data and Renewables Division; Office of Coal, Nuclear, Electric and Alternate Fuels; Energy Information Administration (EIA); US Department of Energy. Information is provided on electricity sales, associated revenue, average revenue per kilowatthour sold, and number of consumers throughout the United States. The data provided in the Electric Sales and Revenue are presented at the national, Census division, State, and electric utility levels. The information is based on annual data reported by electric utilities for the calendar year ending December 31, 1994.

  11. Electric sales and revenue 1997

    SciTech Connect (OSTI)

    NONE

    1998-10-01T23:59:59.000Z

    The Electric Sales and Revenue is prepared by the Electric Power Division; Office of Coal, Nuclear, Electric and Alternate Fuels; Energy Information Administration (EIA); US Department of Energy. Information is provided on electricity sales, associated revenue, average revenue per kilowatthour sold, and number of consumers throughout the US. The data provided in the Electric Sales and Revenue are presented at the national, Census division, State, and electric utility levels. The information is based on annual data reported by electric utilities for the calendar year ending December 31, 1997. 16 figs., 17 tabs.

  12. Private Activity Revenue Bonds (Maryland)

    Broader source: Energy.gov [DOE]

    Private Activity Revenue Bonds are available in the form of both taxable bonds and tax-exempt bonds. Both types of bonds provide access to long-term capital markets for fixed asset financing....

  13. Electric sales and revenue 1992, April 1994

    SciTech Connect (OSTI)

    Not Available

    1994-04-20T23:59:59.000Z

    The Electric Sales and Revenue is prepared by the Survey Management Division, Office of Coal, Nuclear, Electric and Alternate Fuels; Energy Information Administration (EIA); US Department of Energy. This publication provides information about sales of electricity, its associated revenue, and the average revenue per kilowatthour sold to residential, commercial, industrial, and other consumers throughout the United States. The sales, revenue, and average revenue per kilowatthour provided in the Electric Sales and Revenue are based on annual data reported by electric utilities for the calendar year ending December 31, 1992. The electric revenue reported by each electric utility includes the applicable revenue from kilowatthours sold; revenue from income; unemployment and other State and local taxes; energy, demand, and consumer service charges; environmental surcharges; franchise fees; fuel adjustments; and other miscellaneous charges. The revenue does not include taxes, such as sales and excise taxes, that are assessed on the consumer and collected through the utility. Average revenue per kilowatthour is defined as the cost per unit of electricity sold and is calculated by dividing retail sales into the associated electric revenue. The sales of electricity, associated revenue, and average revenue per kilowatthour provided in this report are presented at the national, Census division, State, and electric utility levels.

  14. Utility-Based Revenue Streams- Notes

    Broader source: Energy.gov [DOE]

    Better Buildings Neighborhood Program October 2011 Workshop Summary of Revenue Streams from Breakout Sessions (11/20/11).

  15. Financial Institution-Based Revenue Streams-- Notes

    Broader source: Energy.gov [DOE]

    Better Buildings Neighborhood Program October 2011 Workshop, Summary of Revenue Streams from Breakout Sessions (11/20/11).

  16. Customer-Based Revenue Streams-- Notes

    Broader source: Energy.gov [DOE]

    Better Buildings Neighborhood Program October 2011 Workshop, Summary of Revenue Streams from Breakout Sessions (11/20/11).

  17. Contractor-Based Revenue Streams-- Notes

    Broader source: Energy.gov [DOE]

    Better Buildings Neighborhood Program October 2011 Workshop, Summary of Revenue Streams from Breakout Sessions (11/20/11).

  18. Local Government-Based Revenue Streams-- Notes

    Broader source: Energy.gov [DOE]

    Better Buildings Neighborhood Program October 2011 Workshop, Summary of Revenue Streams from Breakout Sessions (11/20/11).

  19. Budget/Object Codes -REVENUE Budget/Object Codes -REVENUE BUDGET/OBJECT BUDGET/OBJECT

    E-Print Network [OSTI]

    Selmic, Sandra

    Budget/Object Codes -REVENUE Budget/Object Codes - REVENUE BUDGET/OBJECT BUDGET/OBJECT BUDGET CODE DESCRIPTION BUDGET CODE DESCRIPTION 01 30 0101 On-Campus-Full Time 3001 Federal Program 0102 On APPROPRIATIONS #12;Budget/Object Codes -REVENUE Budget/Object Codes - REVENUE BUDGET/OBJECT BUDGET/OBJECT BUDGET

  20. Tax-Exempt Industrial Revenue Bonds (Kansas)

    Broader source: Energy.gov [DOE]

    Tax-Exempt Industrial Revenue Bonds are issued by cities and counties for the purchase, construction, improvement or remodeling of a facility for agricultural, commercial, hospital, industrial,...

  1. Efficiency-Revenue Trade-offs in Auctions

    E-Print Network [OSTI]

    Diakonikolas, Ilias; Pierrakos, George; Singer, Yaron

    2012-01-01T23:59:59.000Z

    When agents with independent priors bid for a single item, Myerson's optimal auction maximizes expected revenue, whereas Vickrey's second-price auction optimizes social welfare. We address the natural question of trade-offs between the two criteria, that is, auctions that optimize, say, revenue under the constraint that the welfare is above a given level. If one allows for randomized mechanisms, it is easy to see that there are polynomial-time mechanisms that achieve any point in the trade-off (the Pareto curve) between revenue and welfare. We investigate whether one can achieve the same guarantees using deterministic mechanisms. We provide a negative answer to this question by showing that this is a (weakly) NP-hard problem. On the positive side, we provide polynomial-time deterministic mechanisms that approximate with arbitrary precision any point of the trade-off between these two fundamental objectives for the case of two bidders, even when the valuations are correlated arbitrarily. The major problem left...

  2. Ak-Chin Electric Utility Authority (Arizona) EIA Revenue and...

    Open Energy Info (EERE)

    81 Residential Sales (MWh) 647 Residential Consumers 290 Commercial Revenue(Thousand ) 168.985 Commercial Sales (MWh) 2306 Commercial Consumers 81 Industrial Revenue (Thousand )...

  3. 4-County Electric Power Assn (Mississippi) EIA Revenue and Sales...

    Open Energy Info (EERE)

    Residential Revenue(Thousand ) 5629 Residential Sales (MWh) 49312 Residential Consumers 35980 Commercial Revenue(Thousand ) 2031 Commercial Sales (MWh) 15395 Commercial Consumers...

  4. Industrial Revenue Bond Issuance Cost Assistance (Wisconsin)

    Broader source: Energy.gov [DOE]

    Industrial Revenue Bonds (IRB) are tax-exempt bonds that can be used to stimulate capital investment and job creation by providing private borrowers with access to financing at interest rates that...

  5. Revenue impacts of airline yield management

    E-Print Network [OSTI]

    Mak, Chung Yu

    1992-01-01T23:59:59.000Z

    In the highly competitive airline industry today, Yield or Revenue Management is extremely important to the survival of any carrier. Since fares are generally matched by all carriers to be competitive, the ability of an ...

  6. Cargo revenue management for space logistics

    E-Print Network [OSTI]

    Armar, Nii A

    2009-01-01T23:59:59.000Z

    This thesis covers the development of a framework for the application of revenue management, specifically capacity control, to space logistics for use in the optimization of mission cargo allocations, which in turn affect ...

  7. Algorithms for revenue metering and their evaluation 

    E-Print Network [OSTI]

    Martinez-Lagunes, Rodrigo

    2000-01-01T23:59:59.000Z

    Power components are measured for revenue metering and other purposes such as power control and power factor compensation. The definitions of the power components (active, reactive and apparent power, as well as, power factor) under sinusoidal...

  8. Algorithms for revenue metering and their evaluation

    E-Print Network [OSTI]

    Martinez-Lagunes, Rodrigo

    2000-01-01T23:59:59.000Z

    ALGORITHMS FOR REVENUE METERING AND THEIR EVALUATION A Thesis by RODRIGO MARTINEZ-LAGUNES Submitted to the Office of Graduate Studies of Texas AdcM University in partial fulfillment of the requirements for the degree of MASTER OF SCIENCE May... 2000 Major Subject: Electrical Engineering ALGORITHMS FOR REVENUE METERING AND THEIR EVALUATION A Thesis By RODRIGO MARTINEZ-LAGUNES Submitted to Texas A&M University in partial fulfillment of the requirements for the degree of MASTER...

  9. Revenue Management: Research Overview and Prospects

    E-Print Network [OSTI]

    research directions. The survey includes a glossary of revenue management terminology and a bibliography for the survey to follow. More detailed accounts of the origins of rev- enue management can be found in BELOBABARevenue Management: Research Overview and Prospects JEFFREY I. MCGILL Queen's University, School

  10. Single-Issue Industrial Revenue Bond Program (Missouri)

    Broader source: Energy.gov [DOE]

    The Missouri Development Finance Board administers a Single-Issue Tax-Exempt Industrial Revenue Bond Program as well as a Taxable Industrial Revenue Bond Program. The Tax-Exempt Program finances (i...

  11. Ak-Chin Electric Utility Authority (Arizona) EIA Revenue and...

    Open Energy Info (EERE)

    8 Jump to: navigation, search EIA Monthly Electric Utility Sales and Revenue Data for Ak-Chin Electric Utility Authority for March 2008. Monthly Electric Utility Sales and Revenue...

  12. Compositional Policy Priors

    E-Print Network [OSTI]

    Wingate, David

    2013-04-12T23:59:59.000Z

    This paper describes a probabilistic framework for incorporating structured inductive biases into reinforcement learning. These inductive biases arise from policy priors, probability distributions over optimal policies. ...

  13. Efficiency of (Revenue-)Optimal Mechanisms Gagan Aggarwal

    E-Print Network [OSTI]

    Tomkins, Andrew

    Efficiency of (Revenue-)Optimal Mechanisms Gagan Aggarwal Google Inc. Mountain View, CA gagana aranyak@google.com ABSTRACT We compare the expected efficiency of revenue maximizing (or optimal) mechanisms with that of efficiency maximizing ones. We show that the efficiency of the revenue maximizing

  14. 2013 Non-Utility Power Producers- Revenue

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40Coal Stocks at Commercial andSeptember 25,9,1996 N Y M E2003 Detailed35Revenue

  15. Revenue From Contractor Fees | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn'tOrigin ofEnergy at Waste-to-Energy usingofRetrofitting Doors on OpenRevenue From Contractor

  16. 2013 Revenue for Delivery Service Providers

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi" ,"Plant","Primary1. TotalRevenue for Delivery Service

  17. Tracking and Using Data to Support Revenue Streams | Department...

    Energy Savers [EERE]

    Documents & Publications Lender-Based Revenues and Cost-Savings Trends in Contractor Conversion Rates Better Buildings Residential Network: Lessons Learned: Peer Exchange Calls...

  18. Ak-Chin Electric Utility Authority (Arizona) EIA Revenue and...

    Open Energy Info (EERE)

    Sales (MWh) 1889 Total Consumers 417 Source: Energy Information Administration. Form EIA-826 Database Monthly Electric Utility Sales and Revenue Data 1 Previous | Next...

  19. Anchorage Municipal Light and Power (Alaska) EIA Revenue and...

    Open Energy Info (EERE)

    (MWh) 89442.402 Total Consumers 30374 Source: Energy Information Administration. Form EIA-826 Database Monthly Electric Utility Sales and Revenue Data 1 Previous | Next...

  20. Anchorage Municipal Light and Power (Alaska) EIA Revenue and...

    Open Energy Info (EERE)

    (MWh) 93116.915 Total Consumers 30297 Source: Energy Information Administration. Form EIA-826 Database Monthly Electric Utility Sales and Revenue Data 1 Previous | Next...

  1. Anchorage Municipal Light and Power (Alaska) EIA Revenue and...

    Open Energy Info (EERE)

    (MWh) 90111.278 Total Consumers 30445 Source: Energy Information Administration. Form EIA-826 Database Monthly Electric Utility Sales and Revenue Data 1 Previous | Next...

  2. 4-County Electric Power Assn (Mississippi) EIA Revenue and Sales...

    Open Energy Info (EERE)

    Sales (MWh) 97102 Total Consumers 44394 Source: Energy Information Administration. Form EIA-826 Database Monthly Electric Utility Sales and Revenue Data 1 Previous | Next...

  3. 4-County Electric Power Assn (Mississippi) EIA Revenue and Sales...

    Open Energy Info (EERE)

    Sales (MWh) 77157 Total Consumers 43869 Source: Energy Information Administration. Form EIA-826 Database Monthly Electric Utility Sales and Revenue Data 1 Previous | Next...

  4. Ak-Chin Electric Utility Authority (Arizona) EIA Revenue and...

    Open Energy Info (EERE)

    Sales (MWh) 1777 Total Consumers 417 Source: Energy Information Administration. Form EIA-826 Database Monthly Electric Utility Sales and Revenue Data 1 Previous | Next...

  5. 4-County Electric Power Assn (Mississippi) EIA Revenue and Sales...

    Open Energy Info (EERE)

    Sales (MWh) 69154 Total Consumers 43876 Source: Energy Information Administration. Form EIA-826 Database Monthly Electric Utility Sales and Revenue Data 1 Previous | Next...

  6. 4-County Electric Power Assn (Mississippi) EIA Revenue and Sales...

    Open Energy Info (EERE)

    Sales (MWh) 77543 Total Consumers 44730 Source: Energy Information Administration. Form EIA-826 Database Monthly Electric Utility Sales and Revenue Data 1 Previous | Next...

  7. Anchorage Municipal Light and Power (Alaska) EIA Revenue and...

    Open Energy Info (EERE)

    (MWh) 89735.352 Total Consumers 30544 Source: Energy Information Administration. Form EIA-826 Database Monthly Electric Utility Sales and Revenue Data 1 Previous | Next...

  8. Anchorage Municipal Light and Power (Alaska) EIA Revenue and...

    Open Energy Info (EERE)

    (MWh) 107731.895 Total Consumers 30210 Source: Energy Information Administration. Form EIA-826 Database Monthly Electric Utility Sales and Revenue Data 1 Previous | Next...

  9. 4-County Electric Power Assn (Mississippi) EIA Revenue and Sales...

    Open Energy Info (EERE)

    Sales (MWh) 92113 Total Consumers 44586 Source: Energy Information Administration. Form EIA-826 Database Monthly Electric Utility Sales and Revenue Data 1 Previous | Next...

  10. Anchorage Municipal Light and Power (Alaska) EIA Revenue and...

    Open Energy Info (EERE)

    (MWh) 89390.873 Total Consumers 30381 Source: Energy Information Administration. Form EIA-826 Database Monthly Electric Utility Sales and Revenue Data 1 Previous | Next...

  11. Anchorage Municipal Light and Power (Alaska) EIA Revenue and...

    Open Energy Info (EERE)

    (MWh) 95905.285 Total Consumers 30205 Source: Energy Information Administration. Form EIA-826 Database Monthly Electric Utility Sales and Revenue Data 1 Previous | Next...

  12. 4-County Electric Power Assn (Mississippi) EIA Revenue and Sales...

    Open Energy Info (EERE)

    Sales (MWh) 64724 Total Consumers 44708 Source: Energy Information Administration. Form EIA-826 Database Monthly Electric Utility Sales and Revenue Data 1 Previous | Next...

  13. Ak-Chin Electric Utility Authority (Arizona) EIA Revenue and...

    Open Energy Info (EERE)

    Sales (MWh) 1656 Total Consumers 417 Source: Energy Information Administration. Form EIA-826 Database Monthly Electric Utility Sales and Revenue Data 1 Previous | Next...

  14. Ak-Chin Electric Utility Authority (Arizona) EIA Revenue and...

    Open Energy Info (EERE)

    Sales (MWh) 1588 Total Consumers 416 Source: Energy Information Administration. Form EIA-826 Database Monthly Electric Utility Sales and Revenue Data 1 Previous | Next...

  15. Anchorage Municipal Light and Power (Alaska) EIA Revenue and...

    Open Energy Info (EERE)

    (MWh) 110168.666 Total Consumers 30225 Source: Energy Information Administration. Form EIA-826 Database Monthly Electric Utility Sales and Revenue Data 1 Previous | Next...

  16. Central Illinois Pub Serv Co (Illinois) EIA Revenue and Sales...

    Open Energy Info (EERE)

    Sales (MWh) 723681 Total Consumers 388107 Source: Energy Information Administration. Form EIA-826 Database Monthly Electric Utility Sales and Revenue Data 1 Previous | Next...

  17. Anchorage Municipal Light and Power (Alaska) EIA Revenue and...

    Open Energy Info (EERE)

    (MWh) 97302.646 Total Consumers 30310 Source: Energy Information Administration. Form EIA-826 Database Monthly Electric Utility Sales and Revenue Data 1 Previous | Next...

  18. Central Illinois Pub Serv Co (Illinois) EIA Revenue and Sales...

    Open Energy Info (EERE)

    Sales (MWh) 635952 Total Consumers 375832 Source: Energy Information Administration. Form EIA-826 Database Monthly Electric Utility Sales and Revenue Data 1 Previous | Next...

  19. Ak-Chin Electric Utility Authority (Arizona) EIA Revenue and...

    Open Energy Info (EERE)

    Sales (MWh) 2604 Total Consumers 416 Source: Energy Information Administration. Form EIA-826 Database Monthly Electric Utility Sales and Revenue Data 1 Previous | Next...

  20. 4-County Electric Power Assn (Mississippi) EIA Revenue and Sales...

    Open Energy Info (EERE)

    Sales (MWh) 87721 Total Consumers 43779 Source: Energy Information Administration. Form EIA-826 Database Monthly Electric Utility Sales and Revenue Data 1 Previous | Next...

  1. Ak-Chin Electric Utility Authority (Arizona) EIA Revenue and...

    Open Energy Info (EERE)

    Sales (MWh) 1786 Total Consumers 416 Source: Energy Information Administration. Form EIA-826 Database Monthly Electric Utility Sales and Revenue Data 1 Previous | Next...

  2. Anchorage Municipal Light and Power (Alaska) EIA Revenue and...

    Open Energy Info (EERE)

    (MWh) 106052.325 Total Consumers 30249 Source: Energy Information Administration. Form EIA-826 Database Monthly Electric Utility Sales and Revenue Data 1 Previous | Next...

  3. 4-County Electric Power Assn (Mississippi) EIA Revenue and Sales...

    Open Energy Info (EERE)

    Sales (MWh) 88236 Total Consumers 44787 Source: Energy Information Administration. Form EIA-826 Database Monthly Electric Utility Sales and Revenue Data 1 Previous | Next...

  4. Central Illinois Pub Serv Co (Illinois) EIA Revenue and Sales...

    Open Energy Info (EERE)

    Sales (MWh) 458221 Total Consumers 378624 Source: Energy Information Administration. Form EIA-826 Database Monthly Electric Utility Sales and Revenue Data 1 Previous | Next...

  5. 4-County Electric Power Assn (Mississippi) EIA Revenue and Sales...

    Open Energy Info (EERE)

    Sales (MWh) 73805 Total Consumers 44830 Source: Energy Information Administration. Form EIA-826 Database Monthly Electric Utility Sales and Revenue Data 1 Previous | Next...

  6. Anchorage Municipal Light and Power (Alaska) EIA Revenue and...

    Open Energy Info (EERE)

    (MWh) 86664.25 Total Consumers 30409 Source: Energy Information Administration. Form EIA-826 Database Monthly Electric Utility Sales and Revenue Data 1 Previous | Next...

  7. Anchorage Municipal Light and Power (Alaska) EIA Revenue and...

    Open Energy Info (EERE)

    (MWh) 103478.845 Total Consumers 30233 Source: Energy Information Administration. Form EIA-826 Database Monthly Electric Utility Sales and Revenue Data 1 Previous | Next...

  8. 4-County Electric Power Assn (Mississippi) EIA Revenue and Sales...

    Open Energy Info (EERE)

    Sales (MWh) 93756 Total Consumers 43814 Source: Energy Information Administration. Form EIA-826 Database Monthly Electric Utility Sales and Revenue Data 1 Previous | Next...

  9. Ak-Chin Electric Utility Authority (Arizona) EIA Revenue and...

    Open Energy Info (EERE)

    Sales (MWh) 2434 Total Consumers 416 Source: Energy Information Administration. Form EIA-826 Database Monthly Electric Utility Sales and Revenue Data 1 Previous | Next...

  10. Anchorage Municipal Light and Power (Alaska) EIA Revenue and...

    Open Energy Info (EERE)

    (MWh) 90071.242 Total Consumers 30468 Source: Energy Information Administration. Form EIA-826 Database Monthly Electric Utility Sales and Revenue Data 1 Previous | Next...

  11. Assessing Revenue Streams: What Is Right for Your Program? |...

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

    Program Sustainability Peer Exchange Call: Assessing Revenue Streams: What is Right for Your Program? Call Slides and Summary, January 10, 2013, The purpose of this call was to...

  12. Ak-Chin Electric Utility Authority (Arizona) EIA Revenue and...

    Open Energy Info (EERE)

    August 2008 Jump to: navigation, search EIA Monthly Electric Utility Sales and Revenue Data for Ak-Chin Electric Utility Authority for August 2008. Monthly Electric Utility Sales...

  13. COAL DESULFURIZATION PRIOR TO COMBUSTION

    E-Print Network [OSTI]

    Wrathall, J.

    2013-01-01T23:59:59.000Z

    90e COAL DESULFURIZATION PRIOR TO COMBUSTION J. Wrathall, T.of coal during combustion. The process involves the additionCOAL DESULFURIZATION PRIOR TO COMBUSTION Lawrence Berkeley

  14. Motion Integration Using Competitive Priors

    E-Print Network [OSTI]

    Wu, Shuang; Lu, Hongjing; Lee, Alan; Yuille, Alan

    2009-01-01T23:59:59.000Z

    to investigate motion integration across orientation andspace. VSS 2006. Motion integration using competitive priorsMotion integration using competitive priors Shuang Wu 1 ,

  15. Motion Integration Using Competitive Priors

    E-Print Network [OSTI]

    Shuang Wu; Hongjing Lu; Alan Lee; Alan Yuille

    2011-01-01T23:59:59.000Z

    to investigate motion integration across orientation andspace. VSS 2006. Motion integration using competitive priorsMotion integration using competitive priors Shuang Wu 1 ,

  16. Cargo Revenue Management for Space Logistics Nii A. Armar

    E-Print Network [OSTI]

    de Weck, Olivier L.

    Cargo Revenue Management for Space Logistics by Nii A. Armar B.S., Aerospace Engineering for Space Logistics by Nii A. Armar Submitted to the Department of Aeronautics and Astronautics on November of revenue management, specifically capacity control, to space logistics for use in the optimization

  17. Ak-Chin Electric Utility Authority (Arizona) EIA Revenue and...

    Open Energy Info (EERE)

    January 2008. Monthly Electric Utility Sales and Revenue Data Short Name 2008-01 Utility Company Ak-Chin Electric Utility Authority (Arizona) Place Arizona Start Date 2008-01-01...

  18. Ak-Chin Electric Utility Authority (Arizona) EIA Revenue and...

    Open Energy Info (EERE)

    April 2008 Jump to: navigation, search EIA Monthly Electric Utility Sales and Revenue Data for Ak-Chin Electric Utility Authority for April 2008. Monthly Electric Utility Sales and...

  19. Ak-Chin Electric Utility Authority (Arizona) EIA Revenue and...

    Open Energy Info (EERE)

    December 2008. Monthly Electric Utility Sales and Revenue Data Short Name 2008-12 Utility Company Ak-Chin Electric Utility Authority (Arizona) Place Arizona Start Date 2008-12-01...

  20. New approaches for integrating revenue and supply chain management

    E-Print Network [OSTI]

    Elmachtoub, Adam Nabil

    2014-01-01T23:59:59.000Z

    First, we describe a general framework called online customer selection that describes natural settings where suppliers must actively select which customer requests to serve. Unlike traditional revenue management models ...

  1. Revenue Management for Cognitive Spectrum Underlay Networks: An Interference Elasticity

    E-Print Network [OSTI]

    Huang, Jianwei

    to the large body of work on uplink power control with pricing for CDMA networks (e.g., [5]­[10] and a recent a total received interference power constraint at the primary user's receiver. The transmission power1 Revenue Management for Cognitive Spectrum Underlay Networks: An Interference Elasticity

  2. Classifying Web Search Queries to Identify High Revenue Generating Customers

    E-Print Network [OSTI]

    Jansen, James

    searching, the set of terms for which a user searches is called the query. If a user enters a query and then clicks on a result, these query terms are embedded within the URL that is passed from the search engineClassifying Web Search Queries to Identify High Revenue Generating Customers Adan Ortiz-Cordova 329

  3. Total revenues up, profits down for OGJ400

    SciTech Connect (OSTI)

    Beck, R.J.; Biggs, J.B.

    1990-10-08T23:59:59.000Z

    After moving up sharply the previous 2 years, profits for the biggest 400 U.S. public oil and gas companies sagged in fiscal 1989. The total: $20.34 billion, down 8.6% from 1988. Revenues, however, gained 6.1% to $459.2 billion. Company-by-company financial results and operating statistics appear in this report.

  4. Equitable Carbon Revenue Distribution Under an International Emissions

    E-Print Network [OSTI]

    Kammen, Daniel M.

    No. 5 Equitable Carbon Revenue Distribution Under an International Emissions Trading Regime Nathan an International Emissions Trading Regime Nathan E. Hultman and Daniel M. Kammen Energy & Resources Group Goldman emissions have started but may not be completely felt for 100 years or more.2 The long-term nature

  5. Non-linear revenue creating business platform for IT service companies using cloud computing

    E-Print Network [OSTI]

    Sinha, Prasanta, S.M. Massachusetts Institute of Technology

    2012-01-01T23:59:59.000Z

    The Indian Information Technology (IT) & Business process outsourcing (BPO) companies are going through an inflection point. They have been growing revenue by over 20% on a yearly basis for the last decade. This revenue ...

  6. The Politics of Revenue-Raising Tax Reform in Latin America

    E-Print Network [OSTI]

    Fairfield, Tasha

    2010-01-01T23:59:59.000Z

    spending-side benefits. The proposal destined revenue from the royalty to a new research and development

  7. Tax-versus-trading and efficient revenue recycling as issues for greenhouse gas abatement

    E-Print Network [OSTI]

    Pezzey, Jack

    Tax-versus-trading and efficient revenue recycling as issues for greenhouse gas abatement Final://people.anu.edu.au/jack.pezzey (J.C.V. Pezzey) Keywords: emission pricing, tax-versus-trading, uncertainties, revenue recycling, and revenue recycling. Including multiple, independent parties greatly reduces the welfare advantage

  8. 2007 Wholesale Power Rate Case Initial Proposal : Revenue Requirement Study.

    SciTech Connect (OSTI)

    United States. Bonneville Power Administration.

    2005-11-01T23:59:59.000Z

    The purpose of this Study is to establish the level of revenues from wholesale power rates necessary to recover, in accordance with sound business principles, the Federal Columbia River Power System (FCRPS) costs associated with the production, acquisition, marketing, and conservation of electric power. The generation revenue requirement includes: recovery of the Federal investment in hydro generation, fish and wildlife and conservation costs; Federal agencies' operations and maintenance (O&M) expenses allocated to power; capitalized contract expenses associated with non-Federal power suppliers such as Energy Northwest (EN); other power purchase expenses, such as short-term power purchases; power marketing expenses; cost of transmission services necessary for the sale and delivery of FCRPS power; and all other generation-related costs incurred by the Administrator pursuant to law.

  9. Methods for generating or increasing revenues from crops

    DOE Patents [OSTI]

    Copenhaver, Gregory P.; Keith, Kevin; Preuss, Daphne

    2007-03-20T23:59:59.000Z

    The present invention provides methods of doing business and providing services. For example, methods of increasing the revenue of crops are provided. To this end, the method includes the use of a nucleic acid sequences of plant centromeres. This will permit construction of stably inherited recombinant DNA constructs and mini chromosomes which can serve as vectors for the construction of transgenic plant and animal cells.

  10. Revenues From Employee Benefit Programs | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn'tOrigin ofEnergy at Waste-to-Energy usingofRetrofitting Doors on OpenRevenue From

  11. Revenues From Employee Benefit Programs | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page onYouTube YouTube Note: Since the.pdfBreakingMay 2015 <Department of ii iii ACKNOWLEDGEMENTS This studyRevenues From

  12. "2013 Non-Utility Power Producers- Revenue"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances byA49. TotalRevenue" "(Data from form

  13. "2013 Total Electric Industry- Revenue (Thousands Dollars)"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances byA49.Transportation" "(DataRevenue

  14. Exploring Opportunities for Energy Efficiency as a Revenue Stream in the Forward Capacity Markets

    Broader source: Energy.gov [DOE]

    Provides information for energy efficiency programs on the opportunities and challenges associated with participating in forward capacity markets and reliability pricing models as potential revenue streams.

  15. Alaska Electric Light&Power Co (Alaska) EIA Revenue and Sales...

    Open Energy Info (EERE)

    Sales (MWh) 27165 Total Consumers 15955 Source: Energy Information Administration. Form EIA-826 Database Monthly Electric Utility Sales and Revenue Data 1 Previous | Next...

  16. Alaska Electric Light&Power Co (Alaska) EIA Revenue and Sales...

    Open Energy Info (EERE)

    Sales (MWh) 18050 Total Consumers 15886 Source: Energy Information Administration. Form EIA-826 Database Monthly Electric Utility Sales and Revenue Data 1 Previous | Next...

  17. Alaska Electric Light&Power Co (Alaska) EIA Revenue and Sales...

    Open Energy Info (EERE)

    Sales (MWh) 30637 Total Consumers 15914 Source: Energy Information Administration. Form EIA-826 Database Monthly Electric Utility Sales and Revenue Data 1 Previous | Next...

  18. Alaska Electric Light&Power Co (Alaska) EIA Revenue and Sales...

    Open Energy Info (EERE)

    Sales (MWh) 23039 Total Consumers 15910 Source: Energy Information Administration. Form EIA-826 Database Monthly Electric Utility Sales and Revenue Data 1 Previous | Next...

  19. Alaska Electric Light&Power Co (Alaska) EIA Revenue and Sales...

    Open Energy Info (EERE)

    Sales (MWh) 19019 Total Consumers 15891 Source: Energy Information Administration. Form EIA-826 Database Monthly Electric Utility Sales and Revenue Data 1 Previous | Next...

  20. Alaska Electric Light&Power Co (Alaska) EIA Revenue and Sales...

    Open Energy Info (EERE)

    (MWh) 27724.952 Total Consumers 15949 Source: Energy Information Administration. Form EIA-826 Database Monthly Electric Utility Sales and Revenue Data 1 Previous | Next...

  1. Alaska Electric Light&Power Co (Alaska) EIA Revenue and Sales...

    Open Energy Info (EERE)

    Sales (MWh) 26729 Total Consumers 15898 Source: Energy Information Administration. Form EIA-826 Database Monthly Electric Utility Sales and Revenue Data 1 Previous | Next...

  2. Alaska Electric Light&Power Co (Alaska) EIA Revenue and Sales...

    Open Energy Info (EERE)

    (MWh) 27020.525 Total Consumers 15945 Source: Energy Information Administration. Form EIA-826 Database Monthly Electric Utility Sales and Revenue Data 1 Previous | Next...

  3. Alaska Electric Light&Power Co (Alaska) EIA Revenue and Sales...

    Open Energy Info (EERE)

    Sales (MWh) 28400 Total Consumers 15946 Source: Energy Information Administration. Form EIA-826 Database Monthly Electric Utility Sales and Revenue Data 1 Previous | Next...

  4. Alaska Electric Light&Power Co (Alaska) EIA Revenue and Sales...

    Open Energy Info (EERE)

    Sales (MWh) 28597 Total Consumers 15902 Source: Energy Information Administration. Form EIA-826 Database Monthly Electric Utility Sales and Revenue Data 1 Previous | Next...

  5. Lender-Based Revenues and Cost-Savings | Department of Energy

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

    Program Sustainability Peer Exchange Call: Lender-Based Revenues and Cost-Savings, Call Slides and Summary, February 14, 2013. Call Slides and Summary More Documents & Publications...

  6. Varying the prior 29 Appendix C. Quality of the posterior estimates from prior replacement

    E-Print Network [OSTI]

    Varying the prior 29 Appendix C. Quality of the posterior estimates from prior replacement replacement may out-perform prior-specific training in some aspects of the quality of the estimated posterior, since the prior is known analytically, the posterior can also be estimated by prior replacement. To do

  7. Minimally Informative Prior Distributions for PSA

    SciTech Connect (OSTI)

    Dana L. Kelly; Robert W. Youngblood; Kurt G. Vedros

    2010-06-01T23:59:59.000Z

    A salient feature of Bayesian inference is its ability to incorporate information from a variety of sources into the inference model, via the prior distribution (hereafter simply “the prior”). However, over-reliance on old information can lead to priors that dominate new data. Some analysts seek to avoid this by trying to work with a minimally informative prior distribution. Another reason for choosing a minimally informative prior is to avoid the often-voiced criticism of subjectivity in the choice of prior. Minimally informative priors fall into two broad classes: 1) so-called noninformative priors, which attempt to be completely objective, in that the posterior distribution is determined as completely as possible by the observed data, the most well known example in this class being the Jeffreys prior, and 2) priors that are diffuse over the region where the likelihood function is nonnegligible, but that incorporate some information about the parameters being estimated, such as a mean value. In this paper, we compare four approaches in the second class, with respect to their practical implications for Bayesian inference in Probabilistic Safety Assessment (PSA). The most commonly used such prior, the so-called constrained noninformative prior, is a special case of the maximum entropy prior. This is formulated as a conjugate distribution for the most commonly encountered aleatory models in PSA, and is correspondingly mathematically convenient; however, it has a relatively light tail and this can cause the posterior mean to be overly influenced by the prior in updates with sparse data. A more informative prior that is capable, in principle, of dealing more effectively with sparse data is a mixture of conjugate priors. A particular diffuse nonconjugate prior, the logistic-normal, is shown to behave similarly for some purposes. Finally, we review the so-called robust prior. Rather than relying on the mathematical abstraction of entropy, as does the constrained noninformative prior, the robust prior places a heavy-tailed Cauchy prior on the canonical parameter of the aleatory model.

  8. Carbon Tax Revenue and the Budget Deficit: A Win-Win-Win Solution?

    E-Print Network [OSTI]

    Rausch, Sebastian

    Bush-era tax cuts are scheduled to expire at the end of 2012, leading to interest in raising revenue through a carbon tax. This revenue could be used to either cut other taxes or to avoid cuts in Federal programs. There ...

  9. Assessment of net lost revenue adjustment mechanisms for utility DSM programs

    SciTech Connect (OSTI)

    Baxter, L.W.

    1995-01-01T23:59:59.000Z

    Utility shareholders can lose money on demand-side management (DSM) investments between rate cases. Several industry analysts argue that the revenues lost from utility DSM programs are an important financial disincentive to utility DSM investment. A key utility regulatory reform undertaken since 1989 allows utilities to recover the lost revenues incurred through successful operation of DSM programs. Explicitly defined net lost revenue adjustment (NLRA) mechanisms are states` preferred approach to lost revenue recovery from DSM programs. This report examines the experiences states and utilities are having with the NLRA approach. The report has three objectives. First, we determine whether NLRA is a feasible and successful approach to removing the lost-revenue disincentive to utility operation of DSM programs. Second, we identify the conditions linked to successful implementation of NLRA mechanisms in different states and assess whether NLRA has changed utility investment behavior. Third, we suggest improvements to NLRA mechanisms. We first identify states with NLRA mechanisms where utilities are recovering lost revenues from DSM programs. We interview staff at regulatory agencies in all these states and utility staff in four states. These interviews focus on the status of NLRA, implementation issues, DSM measurement issues, and NLRA results. We also analyze regulatory agency orders on NLRA, as well as associated testimony, reports, and utility lost revenue recovery filings. Finally, we use qualitative and quantitative indicators to assess NLRA`s effectiveness. Contrary to the concerns raised by some industry analysts, our results indicate NLRA is a feasible approach to the lost-revenue disincentive.

  10. A Synthesis of Cost and Revenue Surveys for Gulf of Mexico Shrimp Vessels

    E-Print Network [OSTI]

    series cost data are not routinely collected for vessels operat ing in any of the U.S. southeast region of Published Cost and Revenue Data Differences underlying the cost and revenue surveys prevent direct compari in the survey data. For example, changes in the cost an

  11. Federal offshore statistics: 1995 - leasing, exploration, production, and revenue as of December 31, 1995

    SciTech Connect (OSTI)

    Gaechter, R.A.

    1997-07-01T23:59:59.000Z

    This report provides data on federal offshore operations for 1995. Information is included for leasing activities, development, petroleum and natural gas production, sales and royalties, revenue from federal offshore leasing, disbursement of federal revenues, reserves and resource estimates, and oil pollution in U.S. and international waters.

  12. Pricing under Constraints in Access Networks: Revenue Maximization and Congestion Management

    E-Print Network [OSTI]

    Reisslein, Martin

    such "technical" practices and promotes economics based approaches. We characterize the loss in ISP revenue from Prashanth Hande1,2, Mung Chiang1, Robert Calderbank1, Junshan Zhang3 1 Department of Electrical Engineering consumers, and we derive the revenue loss to the ISP from such restrictions. We then develop partial

  13. Maximizing Cloud Providers Revenues via Energy Aware Allocation Policies

    E-Print Network [OSTI]

    Mazzucco, Michele; Deters, Ralph

    2011-01-01T23:59:59.000Z

    Cloud providers, like Amazon, offer their data centers' computational and storage capacities for lease to paying customers. High electricity consumption, associated with running a data center, not only reflects on its carbon footprint, but also increases the costs of running the data center itself. This paper addresses the problem of maximizing the revenues of Cloud providers by trimming down their electricity costs. As a solution allocation policies which are based on the dynamic powering servers on and off are introduced and evaluated. The policies aim at satisfying the conflicting goals of maximizing the users' experience while minimizing the amount of consumed electricity. The results of numerical experiments and simulations are described, showing that the proposed scheme performs well under different traffic conditions.

  14. Modelling the performance of revenue management systems in different competitive environments

    E-Print Network [OSTI]

    Dar, Maital

    2006-01-01T23:59:59.000Z

    In the wake of contemporary widespread fare simplification in many major airline markets, this thesis is concerned with the possibilities and the potential for airline revenue management in less-differentiated fare ...

  15. The value of revenue management innovation in a competitive airline industry

    E-Print Network [OSTI]

    Wilson, John L.

    1995-01-01T23:59:59.000Z

    The value of revenue management to the airlines has been amply demonstrated, both by industry experience and in simulation studies of the reservation process. However, there have been no attempts to determine if the benefits ...

  16. Naval petroleum reserves: Preliminary analysis of future net revenues from Elk Hills production

    SciTech Connect (OSTI)

    Not Available

    1986-01-01T23:59:59.000Z

    This is an interim report on the present value of the net revenues from Elk Hills Naval Petroleum Reserve. GAO calculated alternative present values of the net revenues applying (1) low, medium, and high forecasts of future crude oil prices and (2) alternative interest rates for discounting the future net revenues to their present values. The calculations are sensitive to both the oil price forecasts and discount rates used; they are preliminary and should be used with caution. They do not take into account possible added tax revenues collected by the government if Elk Hills were sold nor varying production levels and practices, which could either increase or decrease the total amount of oil that can be extracted.

  17. Tradeoffs between revenue enhancements and emissions reductions with energy storage-coupled photovoltaics

    E-Print Network [OSTI]

    Heidel, Timothy David

    2009-01-01T23:59:59.000Z

    Energy storage has the potential to dramatically change the operation of photovoltaics by allowing for a delay between generation and use. This flexibility has the potential to impact both the revenue from generating ...

  18. The impact of federal revenue sharing on recreation and parks in Texas

    E-Print Network [OSTI]

    Verinder, Sydney Henry

    1974-01-01T23:59:59.000Z

    to return power to the people and strengthen the state and local partners in our federal system. . ~ . a New Fed- eralism. " (Department of the Treasury, 1974a: 1) Revenue Sharing goes a step beyond block grants in giving states and localities autonomy... December 1974 Major Subject& Recreation and Resources Development THE Il&PACT OF FEDERAL REVENUE SHARING ON RECREATION AND PARKS IN TEXAS A Thesis by SYDNEY HENRY VERINDER Approved as to style and content by: ai . an of' Committee . ead...

  19. Federal Offshore Statistics, 1993. Leasing, exploration, production, and revenue as of December 31, 1993

    SciTech Connect (OSTI)

    Francois, D.K.

    1994-12-31T23:59:59.000Z

    This document contains statistical data on the following: federal offshore lands; offshore leasing activity and status; offshore development activity; offshore production of crude oil and natural gas; federal offshore oil and natural gas sales volume and royalties; revenue from federal offshore leases; disbursement of federal offshore revenue; reserves and resource estimates of offshore oil and natural gas; oil pollution in US and international waters; and international activities and marine minerals. A glossary is included.

  20. Bayesian Policy Search with Policy Priors

    E-Print Network [OSTI]

    Wingate, David

    We consider the problem of learning to act in partially observable, continuous-state-and-action worlds where we have abstract prior knowledge about the structure of the optimal policy in the form of a distribution over ...

  1. Financial sustainability in municipal solid waste management – Costs and revenues in Bahir Dar, Ethiopia

    SciTech Connect (OSTI)

    Lohri, Christian Riuji, E-mail: christian.lohri@eawag.ch; Camenzind, Ephraim Joseph, E-mail: ephraimcamenzind@hotmail.com; Zurbrügg, Christian, E-mail: christian.zurbruegg@eawag.ch

    2014-02-15T23:59:59.000Z

    Highlights: • Cost-revenue analysis over 2 years revealed insufficient cost-recovery. • Expenses for motorized secondary collection increased by 82% over two years. • Low fee collection rate and reliance on only one revenue stream are problematic. • Different options for cost reduction and enhanced revenue streams are recommended. • Good public–private alliance is crucial to plan and implement improvement measures. - Abstract: Providing good solid waste management (SWM) services while also ensuring financial sustainability of the system continues to be a major challenge in cities of developing countries. Bahir Dar in northwestern Ethiopia outsourced municipal waste services to a private waste company in 2008. While this institutional change has led to substantial improvement in the cleanliness of the city, its financial sustainability remains unclear. Is the private company able to generate sufficient revenues from their activities to offset the costs and generate some profit? This paper presents a cost-revenue analysis, based on data from July 2009 to June 2011. The analysis reveals that overall costs in Bahir Dar’s SWM system increased significantly during this period, mainly due to rising costs related to waste transportation. On the other hand, there is only one major revenue stream in place: the waste collection fee from households, commercial enterprises and institutions. As the efficiency of fee collection from households is only around 50%, the total amount of revenues are not sufficient to cover the running costs. This results in a substantial yearly deficit. The results of the research therefore show that a more detailed cost structure and cost-revenue analysis of this waste management service is important with appropriate measures, either by the privates sector itself or with the support of the local authorities, in order to enhance cost efficiency and balance the cost-revenues towards cost recovery. Delays in mitigating the evident financial deficit could else endanger the public-private partnership (PPP) and lead to failure of this setup in the medium to long term, thus also endangering the now existing improved and currently reliable service. We present four options on how financial sustainability of the SWM system in Bahir Dar might be enhanced: (i) improved fee collection efficiency by linking the fees of solid waste collection to water supply; (ii) increasing the value chain by sales of organic waste recycling products; (iii) diversifying revenue streams and financing mechanisms (polluter-pays-, cross-subsidy- and business-principles); and (iv) cost reduction and improved cost-effectiveness. We argue that in a PPP setup such as in Bahir Dar, a strong alliance between the municipality and private enterprise is important so that appropriate solutions for improved financial sustainability of a SWM system can be sought and implemented.

  2. Estimating the maximum potential revenue for grid connected electricity storage : arbitrage and regulation.

    SciTech Connect (OSTI)

    Byrne, Raymond Harry; Silva Monroy, Cesar Augusto.

    2012-12-01T23:59:59.000Z

    The valuation of an electricity storage device is based on the expected future cash ow generated by the device. Two potential sources of income for an electricity storage system are energy arbitrage and participation in the frequency regulation market. Energy arbitrage refers to purchasing (stor- ing) energy when electricity prices are low, and selling (discharging) energy when electricity prices are high. Frequency regulation is an ancillary service geared towards maintaining system frequency, and is typically procured by the independent system operator in some type of market. This paper outlines the calculations required to estimate the maximum potential revenue from participating in these two activities. First, a mathematical model is presented for the state of charge as a function of the storage device parameters and the quantities of electricity purchased/sold as well as the quantities o ered into the regulation market. Using this mathematical model, we present a linear programming optimization approach to calculating the maximum potential revenue from an elec- tricity storage device. The calculation of the maximum potential revenue is critical in developing an upper bound on the value of storage, as a benchmark for evaluating potential trading strate- gies, and a tool for capital nance risk assessment. Then, we use historical California Independent System Operator (CAISO) data from 2010-2011 to evaluate the maximum potential revenue from the Tehachapi wind energy storage project, an American Recovery and Reinvestment Act of 2009 (ARRA) energy storage demonstration project. We investigate the maximum potential revenue from two di erent scenarios: arbitrage only and arbitrage combined with the regulation market. Our analysis shows that participation in the regulation market produces four times the revenue compared to arbitrage in the CAISO market using 2010 and 2011 data. Then we evaluate several trading strategies to illustrate how they compare to the maximum potential revenue benchmark. We conclude with a sensitivity analysis with respect to key parameters.

  3. November 15, 2012 Webinar: Exploring Opportunities for Energy Efficiency as a Revenue Stream in the Forward Capacity Markets

    Broader source: Energy.gov [DOE]

    November 15, 2012 Webinar: Exploring Opportunities for Energy Efficiency as a Revenue Stream in the Forward Capacity Markets, Better Buildings Neighborhood Program; regional transmission organizations (RTOs)

  4. Free, Prior, and Informed Consent in REDD+: Principles and Approaches...

    Open Energy Info (EERE)

    Free, Prior, and Informed Consent in REDD+: Principles and Approaches for Policy and Project Development Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Free, Prior, and...

  5. Managing Cancellations and No-shows of Reservations with Overbooking to Increase Resource Revenue

    E-Print Network [OSTI]

    Melbourne, University of

    to different customers, and to peri- odically update the prices in response to market demands. Therefore gains an extra 6­9% in the total net revenue. 1 Introduction Grid [4] technology enables the aggregation that provides a mechanism for regulating demand and supply of resources, and calculates pricing policies based

  6. Revenue Maximization in Reservation-based Online Advertising Through Dynamic Inventory

    E-Print Network [OSTI]

    Tomkins, Andrew

    Revenue Maximization in Reservation-based Online Advertising Through Dynamic Inventory Management inventory on content sites owned by publishers (e.g., CNN, amazon, etc.). Sales representatives, acting on behalf of publishers, sell inventory (impression) bundles of various types (text, video, multimedia, etc

  7. A Study of Revenue Flows in Packet Networks under Multiple Administrative Domains

    E-Print Network [OSTI]

    A Study of Revenue Flows in Packet Networks under Multiple Administrative Domains Saadullah Tareenx that they usually only consider a single network and always consider a single administrative domain when for a detailed study of more realistic networks under multiple administrative domains. The interac- tions between

  8. Assessing the Impact of Heat Rejection Technology on CSP Plant Revenue: Preprint

    SciTech Connect (OSTI)

    Wagner, M. J.; Kutscher, C. F.

    2010-10-01T23:59:59.000Z

    This paper explores the impact of cooling technology on revenue for hybrid-cooled plants with varying wet cooling penetration for four representative locations in the American Southwest. The impact of ACC design-point initial temperature difference (ITD - the difference between the condensing steam temperature and ambient dry-bulb) is also included in the analysis.

  9. Federal offshore statistics: 1992. Leasing, exploration, production, and revenues as of December 31, 1992

    SciTech Connect (OSTI)

    Francois, D.K.

    1993-12-31T23:59:59.000Z

    The Outer Continental Shelf Lands Act, enacted in 1953 and amended several times, charges the Secretary of the Interior with the responsibility for administering and managing mineral exploration and development of the outer continental shelf, as well as for conserving its natural resources. This report documents the following: Federal offshore lands; offshore leasing activity and status; offshore development activity; offshore production of crude oil and natural gas; Federal offshore oil and natural gas sales volume and royalties; revenue from Federal offshore leases; disbursement of Federal offshore revenue; reserves and resource estimates of offshore oil and natural gas; oil pollution in US and international waters; and international activities and marine minerals. 11 figs., 83 tabs.

  10. Esthetically Designed Municipal PV System Maximizes Energy Production and Revenue Return

    Broader source: Energy.gov [DOE]

    In late 2008, the City of Sebastopol, CA installed a unique 42 kW grid-interactive photovoltaic (PV) system to provide electricity for pumps of the Sebastopol municipal water system. The resulting innovative Sun Dragon PV system, located in a public park, includes design elements that provide optimized electrical performance and revenue generation for the energy produced while also presenting an artistic and unique appearance to park visitors.

  11. Empirical study on the Korean treasury auction focusing on the revenue comparison in multiple versus single price auction 

    E-Print Network [OSTI]

    Kang, Boo-Sung

    2006-04-12T23:59:59.000Z

    This dissertation pursues to find an answer empirically to the question of the revenue ranking between the multiple price auction and the single price auction. I also attempt to get empirical clues in terms of the efficiency ...

  12. Bio:Matthew Andrews is a Distinguished Member of Technical Staff at Alcatel-Lucent Bell Labs. His research interests include combinatorial optimization, operations research and data analytics, with applications to resource allocation and revenue managemen

    E-Print Network [OSTI]

    Columbia University

    , with applications to resource allocation and revenue management in wireless networks, energy-efficient

  13. Expenses Revenues

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

    Expense: 1 Reclamation 44,585,384 Western 59,400,596 Total O&M Expense 103,985,980 Purchase Power Expense: Custom Product and Supplemental Power 2 209,685,496 209,685,496...

  14. Revenue from Retail Sales of Electricity (Thousand Dollars) by State by Provider

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocks Nov-14 Dec-14Table 4.April 25, 20137a.06Retail Sales ofRevenue

  15. Adjustment Data Report for Fiscal Years Prior to 2008 | Department...

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

    covers the adjustment data report for fiscal years prior to 2008. energydatareport.xls More Documents & Publications Reporting Guidance for Federal Agency Annual Report on Energy...

  16. acid treatment prior: Topics by E-print Network

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

    In realistic problems, both the transformation group analysis and the principle of maximum entropy are needed to determine the prior. The distributions thus found are...

  17. androgen withdrawal prior: Topics by E-print Network

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

    In realistic problems, both the transformation group analysis and the principle of maximum entropy are needed to determine the prior. The distributions thus found are...

  18. analyzing prior mammograms: Topics by E-print Network

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

    In realistic problems, both the transformation group analysis and the principle of maximum entropy are needed to determine the prior. The distributions thus found are...

  19. amniotic fluid prior: Topics by E-print Network

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

    In realistic problems, both the transformation group analysis and the principle of maximum entropy are needed to determine the prior. The distributions thus found are...

  20. ROBUST SPEECH RECOGNITION USING MULTIPLE PRIOR MODELS FOR SPEECH RECONSTRUCTION

    E-Print Network [OSTI]

    Wang, DeLiang "Leon"

    speech recognition to enhance noisy speech. Typically, a single prior model is trained by pooling normalization (CMN), while others preprocess noisy speech using speech enhancement techniques. If noise samplesROBUST SPEECH RECOGNITION USING MULTIPLE PRIOR MODELS FOR SPEECH RECONSTRUCTION Arun Narayanan

  1. Revenue Maximization of Electricity Generation for a Wind Turbine Integrated with a Compressed Air Energy Storage System

    E-Print Network [OSTI]

    Li, Perry Y.

    Energy Storage System Mohsen Saadat, Farzad A. Shirazi, Perry Y. Li Abstract-- A high-level supervisory controller is developed for a Compressed Air Energy Storage (CAES) system integrated with a wind turbine the effect of storage system sizing on the maximum revenue. I. INTRODUCTION Large-scale cost effective energy

  2. A Bayesian Approach for Image Segmentation with Shape Priors

    SciTech Connect (OSTI)

    Chang, Hang; Yang, Qing; Parvin, Bahram

    2008-06-20T23:59:59.000Z

    Color and texture have been widely used in image segmentation; however, their performance is often hindered by scene ambiguities, overlapping objects, or missingparts. In this paper, we propose an interactive image segmentation approach with shape prior models within a Bayesian framework. Interactive features, through mouse strokes, reduce ambiguities, and the incorporation of shape priors enhances quality of the segmentation where color and/or texture are not solely adequate. The novelties of our approach are in (i) formulating the segmentation problem in a well-de?ned Bayesian framework with multiple shape priors, (ii) ef?ciently estimating parameters of the Bayesian model, and (iii) multi-object segmentation through user-speci?ed priors. We demonstrate the effectiveness of our method on a set of natural and synthetic images.

  3. Photometric Redshift with Bayesian Priors on Physical Properties of Galaxies

    E-Print Network [OSTI]

    Tanaka, Masayuki

    2015-01-01T23:59:59.000Z

    We present a proof-of-concept analysis of photometric redshifts with Bayesian priors on physical properties of galaxies. This concept is particularly suited for upcoming/on-going large imaging surveys, in which only several broad-band filters are available and it is hard to break some of the degeneracies in the multi-color space. We construct model templates of galaxies using a stellar population synthesis code and apply Bayesian priors on physical properties such as stellar mass and star formation rate. These priors are a function of redshift and they effectively evolve the templates with time in an observationally motivated way. We demonstrate that the priors help reduce the degeneracy and deliver significantly improved photometric redshifts. Furthermore, we show that a template error function, which corrects for systematic flux errors in the model templates as a function of rest-frame wavelength, delivers further improvements. One great advantage of our technique is that we simultaneously measure redshifts...

  4. Presentation: Introduction to Current & Prior Studies of the DOE Laboratories

    Broader source: Energy.gov [DOE]

    A briefing to the Comission to Review the Effectiveness of the National Energy Laboratories on current and prior studies of the DOE Laboratories delivered by Mark Taylor, Susannah Howieson, and...

  5. Finding a Minimally Informative Dirichlet Prior Distribution Using Least Squares

    SciTech Connect (OSTI)

    Dana Kelly; Corwin Atwood

    2011-03-01T23:59:59.000Z

    In a Bayesian framework, the Dirichlet distribution is the conjugate distribution to the multinomial likelihood function, and so the analyst is required to develop a Dirichlet prior that incorporates available information. However, as it is a multiparameter distribution, choosing the Dirichlet parameters is less straight-forward than choosing a prior distribution for a single parameter, such as p in the binomial distribution. In particular, one may wish to incorporate limited information into the prior, resulting in a minimally informative prior distribution that is responsive to updates with sparse data. In the case of binomial p or Poisson, the principle of maximum entropy can be employed to obtain a so-called constrained noninformative prior. However, even in the case of p, such a distribution cannot be written down in closed form, and so an approximate beta distribution is used in the case of p. In the case of the multinomial model with parametric constraints, the approach of maximum entropy does not appear tractable. This paper presents an alternative approach, based on constrained minimization of a least-squares objective function, which leads to a minimally informative Dirichlet prior distribution. The alpha-factor model for common-cause failure, which is widely used in the United States, is the motivation for this approach, and is used to illustrate the method. In this approach to modeling common-cause failure, the alpha-factors, which are the parameters in the underlying multinomial aleatory model for common-cause failure, must be estimated from data that is often quite sparse, because common-cause failures tend to be rare, especially failures of more than two or three components, and so a prior distribution that is responsive to updates with sparse data is needed.

  6. Finding A Minimally Informative Dirichlet Prior Using Least Squares

    SciTech Connect (OSTI)

    Dana Kelly

    2011-03-01T23:59:59.000Z

    In a Bayesian framework, the Dirichlet distribution is the conjugate distribution to the multinomial likelihood function, and so the analyst is required to develop a Dirichlet prior that incorporates available information. However, as it is a multiparameter distribution, choosing the Dirichlet parameters is less straightforward than choosing a prior distribution for a single parameter, such as p in the binomial distribution. In particular, one may wish to incorporate limited information into the prior, resulting in a minimally informative prior distribution that is responsive to updates with sparse data. In the case of binomial p or Poisson \\lambda, the principle of maximum entropy can be employed to obtain a so-called constrained noninformative prior. However, even in the case of p, such a distribution cannot be written down in the form of a standard distribution (e.g., beta, gamma), and so a beta distribution is used as an approximation in the case of p. In the case of the multinomial model with parametric constraints, the approach of maximum entropy does not appear tractable. This paper presents an alternative approach, based on constrained minimization of a least-squares objective function, which leads to a minimally informative Dirichlet prior distribution. The alpha-factor model for common-cause failure, which is widely used in the United States, is the motivation for this approach, and is used to illustrate the method. In this approach to modeling common-cause failure, the alpha-factors, which are the parameters in the underlying multinomial model for common-cause failure, must be estimated from data that are often quite sparse, because common-cause failures tend to be rare, especially failures of more than two or three components, and so a prior distribution that is responsive to updates with sparse data is needed.

  7. Approximate Message Passing with Restricted Boltzmann Machine Priors

    E-Print Network [OSTI]

    Tramel, Eric W; Krzakala, Florent

    2015-01-01T23:59:59.000Z

    Approximate Message Passing (AMP) has been shown to be an excellent statistical approach to signal inference and compressed sensing problem. The AMP framework provides modularity in the choice of signal prior; here we propose a hierarchical form of the Gauss-Bernouilli prior which utilizes a Restricted Boltzmann Machine (RBM) trained on the signal support to push reconstruction performance beyond that of simple iid priors for signals whose support can be well represented by a trained binary RBM. We present and analyze two methods of RBM factorization and demonstrate how these affect signal reconstruction performance within our proposed algorithm. Finally, using the MNIST handwritten digit dataset, we show experimentally that using an RBM allows AMP to approach oracle-support performance.

  8. Expected Behavior of Quantum Thermodynamic Machines with Prior Information

    E-Print Network [OSTI]

    George Thomas; Ramandeep S. Johal

    2012-04-14T23:59:59.000Z

    We estimate the expected behavior of a quantum model of heat engine when we have incomplete information about external macroscopic parameters, like magnetic field controlling the intrinsic energy scales of the working medium. We explicitly derive the prior probability distribution for these unknown parameters, $a_i, (i=1,2)$. Based on a few simple assumptions, the prior is found to be of the form $\\Pi(a_i) \\propto 1/a_i$. By calculating the expected values of various physical quantities related to this engine, we find that the expected behavior of the quantum model exhibits thermodynamic-like features. This leads us to a surprising proposal that incomplete information quantified as appropriate prior distribution can lead us to expect classical thermodynamic behavior in quantum models.

  9. Empirical study on the Korean treasury auction focusing on the revenue comparison in multiple versus single price auction

    E-Print Network [OSTI]

    Kang, Boo-Sung

    2006-04-12T23:59:59.000Z

    EMPIRICAL STUDY ON THE KOREAN TREASURY AUCTION FOCUSING ON THE REVENUE COMPARISON IN MULTIPLE VERSUS SINGLE PRICE AUCTION A Dissertation by BOO-SUNG KANG Submitted to the Office of Graduate Studies of Texas A&M... IN MULTIPLE VERSUS SINGLE PRICE AUCTION A Dissertation by BOO-SUNG KANG Submitted to Texas A&M University in partial fulfillment of the requirements for the degree of DOCTOR OF PHILOSOPHY Approved as to style and content by...

  10. The challenges of improving revenue-recognition standard for multiple-element firms:evidence from the software industry (SOP 97-2)

    E-Print Network [OSTI]

    Srivastava, Anup

    2008-10-10T23:59:59.000Z

    I investigated whether implementing SOP 97-2, the revenue-recognition standard for the software industry, reduces earnings informativeness. This standard is particularly important for two reasons: First, its provisions coincide with provisions...

  11. Blind source separation using spatial and temporal priors

    E-Print Network [OSTI]

    Roberts, Stephen

    #12;Blind source separation using spatial and temporal priors W D Addison Balliol University of Oxford A thesis submitted for the degree of Doctor of Philosophy Trinity 2009 2 #12;3 #12 for providing such fine accommodation in Oxford and to my wife for her incredible patience while this thesis

  12. Optimality of Thompson Sampling for Gaussian Bandits Depends on Priors

    E-Print Network [OSTI]

    Kaski, Samuel

    Optimality of Thompson Sampling for Gaussian Bandits Depends on Priors Junya Honda Akimichi problems, a Bayesian policy called Thompson sampling (TS) has recently attracted much attention for its ex discusses the asymptotic optimality of Thompson sampling (TS) (Thompson, 1933) for the Gaussian model. TS

  13. Concrete vs. Abstract Problem Formats: A Disadvantage of Prior Knowledge

    E-Print Network [OSTI]

    Heckler, Andrew F.

    Concrete vs. Abstract Problem Formats: A Disadvantage of Prior Knowledge Andrew F. Heckler experiments examine the effects of varying the relative concreteness of physics word problems on student performance.Previous studies have found that concrete representations benefit performance for relatively

  14. Brief article Prior knowledge on the illumination position

    E-Print Network [OSTI]

    Mamassian, Pascal

    -retinal knowledge (Rock, 1983). Recent experimental work has emphasized the study of prior knowledge and P was upside-down and consequently shadows were in the wrong place relative to the light source. The position. This explanation rests on the knowledge that the light source stays at the same location whether or not one

  15. Using Prior Knowledge in the Design of Classifiers

    E-Print Network [OSTI]

    Shahrokh Esfahani, Mohammad

    2014-04-18T23:59:59.000Z

    USING PRIOR KNOWLEDGE IN THE DESIGN OF CLASSIFIERS A Dissertation by MOHAMMAD SHAHROKH ESFAHANI Submitted to the Office of Graduate and Professional Studies of Texas A&M University in partial fulfillment of the requirements for the degree of DOCTOR... OF PHILOSOPHY Chair of Committee, Edward Russell Dougherty Co-Chair of Committee, Aniruddha Datta Committee Members, Byung-Jun Yoon Ivan Ivanov Head of Department, Chanan Singh May 2014 Major Subject: Electrical Engineering Copyright 2014 Mohammad Shahrokh...

  16. Natural Priors, CMSSM Fits and LHC Weather Forecasts

    E-Print Network [OSTI]

    Ben C Allanach; Kyle Cranmer; Christopher G Lester; Arne M Weber

    2007-07-05T23:59:59.000Z

    Previous LHC forecasts for the constrained minimal supersymmetric standard model (CMSSM), based on current astrophysical and laboratory measurements, have used priors that are flat in the parameter tan beta, while being constrained to postdict the central experimental value of MZ. We construct a different, new and more natural prior with a measure in mu and B (the more fundamental MSSM parameters from which tan beta and MZ are actually derived). We find that as a consequence this choice leads to a well defined fine-tuning measure in the parameter space. We investigate the effect of such on global CMSSM fits to indirect constraints, providing posterior probability distributions for Large Hadron Collider (LHC) sparticle production cross sections. The change in priors has a significant effect, strongly suppressing the pseudoscalar Higgs boson dark matter annihilation region, and diminishing the probable values of sparticle masses. We also show how to interpret fit information from a Markov Chain Monte Carlo in a frequentist fashion; namely by using the profile likelihood. Bayesian and frequentist interpretations of CMSSM fits are compared and contrasted.

  17. Characterization of in situ oil shale retorts prior to ignition

    DOE Patents [OSTI]

    Turner, Thomas F. (Laramie, WY); Moore, Dennis F. (Laramie, WY)

    1984-01-01T23:59:59.000Z

    Method and system for characterizing a vertical modified in situ oil shale retort prior to ignition of the retort. The retort is formed by mining a void at the bottom of a proposed retort in an oil shale deposit. The deposit is then sequentially blasted into the void to form a plurality of layers of rubble. A plurality of units each including a tracer gas cannister are installed at the upper level of each rubble layer prior to blasting to form the next layer. Each of the units includes a receiver that is responsive to a coded electromagnetic (EM) signal to release gas from the associated cannister into the rubble. Coded EM signals are transmitted to the receivers to selectively release gas from the cannisters. The released gas flows through the retort to an outlet line connected to the floor of the retort. The time of arrival of the gas at a detector unit in the outlet line relative to the time of release of gas from the cannisters is monitored. This information enables the retort to be characterized prior to ignition.

  18. Standard practice for the ion exchange separation of uranium and plutonium prior to isotopic analysis

    E-Print Network [OSTI]

    American Society for Testing and Materials. Philadelphia

    2008-01-01T23:59:59.000Z

    Standard practice for the ion exchange separation of uranium and plutonium prior to isotopic analysis

  19. Natural Priors, CMSSM Fits and LHC Weather Forecasts

    E-Print Network [OSTI]

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

    2007-08-07T23:59:59.000Z

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

  20. PRIOR HAB ADVICE POINTS - STATE OF THE SITE MEETINGS GENERAL

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's Possible for RenewableSpeedingBiomassPPPO Website Directory PPPO WebsitePREP |Dan5, 2013 1 PRIOR

  1. Proposed Revenues, Financial Strategy, and Program Costs for FY 1992 and 1993 : Technical Appendix, BPA Programs in Perspective.

    SciTech Connect (OSTI)

    United States. Bonneville Power Administration.

    1990-07-01T23:59:59.000Z

    Programs in Perspective is the Bonneville Power Administration's public involvement process (PIP) for engaging customers and other stakeholders in a regional dialog to set strategic direction and broad program plans for BPA effort. This planning leads into a biennial rate setting cycle and offers a more accessible and flexible opportunity for dialog on broad issues than is possible under the strict administrative procedures of ratemaking. The self-financed character of BPA has made this public process a necessary and valuable one to assure that those who pay BPA's rates have a clear understanding and a strong voice in the plans for use of the resulting revenues. During 1989, the previous PIP engaged the region in discussion of major strategic, issues focussing on major areas. In 1990, BPA seeks discussion of the directions and plans specifically for fiscal years 1992 and 1993. The steps taken for those years will lay the foundation for the years beyond. Thus, we have subtitled this year's process, Staying fit for the long run.'' We have consulted extensively with customers and others in the region in developing these plans. In dozens of program--specific meetings, BPA staff have talked and listened to what others think our plans ought to be. PIP now gives us a chance to review their sum total, along with projections for revenues and our overall financial position. 8 tabs., 8 figs.

  2. Fourier computational ghost imaging using spectral sparsity and conjugation priors

    E-Print Network [OSTI]

    Bian, Liheng; Hu, Xuemei; Chen, Feng; Dai, Qionghai

    2015-01-01T23:59:59.000Z

    Computational ghost imaging (CGI) retrieves a target scene from numerous random illumination patterns and corresponding single pixel measurements. Theoretically, these random patterns sample random combinations of the Fourier coefficients of the scene's spatial spectrum in an indiscriminative way, and neglect their intrinsic nonuniform importance. Utilizing the sparsity and conjugation priors of natural images' spatial spectra, this letter proposes a new pattern illuminating strategy termed Fourier computational ghost imaging (FCGI), for highly efficient single pixel imaging. Specifically, FCGI sequentially uses two sinusoidal patterns to sample each Fourier coefficient, instead of their random combinations, in the statistically most informative spectrum band. Benefiting from the new illumination patterns and importance sampling strategy, our approach is able to reduce the requisite number of projected patterns by two orders of magnitude, compared to conventional CGI.

  3. PET IMAGE RECONSTRUCTION USING ANATOMICAL INFORMATION THROUGH MUTUAL INFORMATION BASED PRIORS: A SCALE SPACE APPROACH

    E-Print Network [OSTI]

    Rangarajan, Anand

    PET IMAGE RECONSTRUCTION USING ANATOMICAL INFORMATION THROUGH MUTUAL INFORMATION BASED PRIORS prior for incorpo- rating information from co-registered anatomical images into PET image reconstruction using mutual information based rigid registration. PET data are then simulated from the au

  4. Effects of Residual Feed Intake Classification on Feed Efficiency, Feeding Behavior, Carcass Traits, and Net Revenue in Angus-Based Composite Steers

    E-Print Network [OSTI]

    Walter, Joel

    2012-02-14T23:59:59.000Z

    ) and high (n = 158) RFI groups. Following the feed-intake measurement periods, steers were fed the same diet in group pens and harvested at an average backfat thickness of 1.14 cm. Net revenue (NR) was calculated as carcass value minus feeder calf, yardage...

  5. 1. Was your auditor for the Revenue Bond Series 2003A and 2005A financial audit year ended 6/30/12 invited to bid?

    E-Print Network [OSTI]

    IFB13403 1. Was your auditor for the Revenue Bond Series 2003A and 2005A financial audit year for last year's audit? The existing contract budget is structured with hourly rates, so there isn't a set fee structure for each audit. The cumulative total of invoices for the FY 11/12 audit was $16

  6. 31320-2014-EN Member states -Service contract -Prior Information Notice -Not applicable 1/2

    E-Print Network [OSTI]

    Crowther, Paul

    OJ/S S20 29/01/2014 31320-2014-EN Member states - Service contract - Prior Information Notice - Not applicable 1/2 29/01/2014 S20 http://ted.europa.eu/TED Member states - Service contract - Prior Information/S S20 29/01/2014 31320-2014-EN Member states - Service contract - Prior Information Notice

  7. Combining prior day contours to improve automated prostate segmentation

    SciTech Connect (OSTI)

    Godley, Andrew; Sheplan Olsen, Lawrence J.; Stephans, Kevin [Department of Radiation Oncology, Cleveland Clinic, 9500 Euclid Avenue, Cleveland, Ohio 44195 (United States); Zhao Anzi [Department of Radiation Oncology, Cleveland Clinic, 9500 Euclid Avenue, Cleveland, Ohio 44195 and Department of Physics, Cleveland State University, 2121 Euclid Avenue, Cleveland, Ohio 44115 (United States)

    2013-02-15T23:59:59.000Z

    Purpose: To improve the accuracy of automatically segmented prostate, rectum, and bladder contours required for online adaptive therapy. The contouring accuracy on the current image guidance [image guided radiation therapy (IGRT)] scan is improved by combining contours from earlier IGRT scans via the simultaneous truth and performance level estimation (STAPLE) algorithm. Methods: Six IGRT prostate patients treated with daily kilo-voltage (kV) cone-beam CT (CBCT) had their original plan CT and nine CBCTs contoured by the same physician. Three types of automated contours were produced for analysis. (1) Plan: By deformably registering the plan CT to each CBCT and then using the resulting deformation field to morph the plan contours to match the CBCT anatomy. (2) Previous: The contour set drawn by the physician on the previous day CBCT is similarly deformed to match the current CBCT anatomy. (3) STAPLE: The contours drawn by the physician, on each prior CBCT and the plan CT, are deformed to match the CBCT anatomy to produce multiple contour sets. These sets are combined using the STAPLE algorithm into one optimal set. Results: Compared to plan and previous, STAPLE improved the average Dice's coefficient (DC) with the original physician drawn CBCT contours to a DC as follows: Bladder: 0.81 {+-} 0.13, 0.91 {+-} 0.06, and 0.92 {+-} 0.06; Prostate: 0.75 {+-} 0.08, 0.82 {+-} 0.05, and 0.84 {+-} 0.05; and Rectum: 0.79 {+-} 0.06, 0.81 {+-} 0.06, and 0.85 {+-} 0.04, respectively. The STAPLE results are within intraobserver consistency, determined by the physician blindly recontouring a subset of CBCTs. Comparing plans recalculated using the physician and STAPLE contours showed an average disagreement less than 1% for prostate D98 and mean dose, and 5% and 3% for bladder and rectum mean dose, respectively. One scan takes an average of 19 s to contour. Using five scans plus STAPLE takes less than 110 s on a 288 core graphics processor unit. Conclusions: Combining the plan and all prior days via the STAPLE algorithm to produce treatment day contours is superior to the current standard of deforming only the plan contours to the daily CBCT. STAPLE also improves the precision, with a substantial decrease in standard deviation, a key for adaptive therapy. Geometrically and dosimetrically accurate contours can be automatically generated with STAPLE on prostate region kV CBCT in a time scale suitable for online adaptive therapy.

  8. Improving experimental phases for strong reflections prior to density modification

    SciTech Connect (OSTI)

    Uervirojnangkoorn, Monarin [University of Lübeck, Ratzeburger Allee 160, 23538 Lübeck (Germany); University of Lübeck, Ratzeburger Allee 160, 23538 Lübeck (Germany); Hilgenfeld, Rolf, E-mail: hilgenfeld@biochem.uni-luebeck.de [University of Lübeck, Ratzeburger Allee 160, 23538 Lübeck (Germany); Chinese Academy of Sciences, 555 Zu Chong Zhi Road, Shanghai 201203, People’s Republic of (China); Terwilliger, Thomas C. [Los Alamos National Laboratory, Los Alamos, NM 87545 (United States); Read, Randy J. [University of Cambridge, Cambridge CB2 0XY (United Kingdom); University of Lübeck, Ratzeburger Allee 160, 23538 Lübeck (Germany)

    2013-10-01T23:59:59.000Z

    A genetic algorithm has been developed to optimize the phases of the strongest reflections in SIR/SAD data. This is shown to facilitate density modification and model building in several test cases. Experimental phasing of diffraction data from macromolecular crystals involves deriving phase probability distributions. These distributions are often bimodal, making their weighted average, the centroid phase, improbable, so that electron-density maps computed using centroid phases are often non-interpretable. Density modification brings in information about the characteristics of electron density in protein crystals. In successful cases, this allows a choice between the modes in the phase probability distributions, and the maps can cross the borderline between non-interpretable and interpretable. Based on the suggestions by Vekhter [Vekhter (2005 ?), Acta Cryst. D61, 899–902], the impact of identifying optimized phases for a small number of strong reflections prior to the density-modification process was investigated while using the centroid phase as a starting point for the remaining reflections. A genetic algorithm was developed that optimizes the quality of such phases using the skewness of the density map as a target function. Phases optimized in this way are then used in density modification. In most of the tests, the resulting maps were of higher quality than maps generated from the original centroid phases. In one of the test cases, the new method sufficiently improved a marginal set of experimental SAD phases to enable successful map interpretation. A computer program, SISA, has been developed to apply this method for phase improvement in macromolecular crystallography.

  9. EFFECT OF TRANSPORTING SALTSTONE SAMPLES PRIOR TO SET

    SciTech Connect (OSTI)

    Reigel, M.

    2013-05-21T23:59:59.000Z

    The Saltstone Sampling and Analyses Plan provides a basis for the quantity (and configuration) of saltstone grout samples required for conducting a study directed towards correlation of the Performance Assessment (PA) related properties of field-emplaced samples and samples processed and cured in the laboratory. The testing described in the saltstone sampling and analyses plan will be addressed in phases. The initial testing (Phase I) includes collecting samples from the process room in the Saltstone Production Facility (SPF) and transporting them to Savannah River National Laboratory (SRNL) where they will cure under a temperature profile that mimics the temperature in the Saltstone Disposal Unit (SDU) and then be analyzed. SRNL has previously recommended that after the samples of fresh (uncured) saltstone are obtained from the SPF process room, they are allowed to set prior to transporting them to SRNL for curing. The concern was that if the samples are transported before they are set, the vibrations during transport may cause artificial delay of structure development which could result in preferential settling or segregation of the saltstone slurry. However, the results of this testing showed there was no clear distinction between the densities of the cylinder sections for any of the transportation scenarios tested (1 day, 1 hour, and 0 minutes set time prefer to transportation) . The bottom section of each cylinder was the densest for each transportation scenario, which indicates some settling in all the samples. Triplicate hydraulic conductivity measurements on samples from each set of time and transportation scenarios indicated that those samples transported immediately after pouring had the highest hydraulic conductivity. Conversely, samples that were allowed to sit for an hour before being transported had the lowest hydraulic conductivity. However, the hydraulic conductivities of all three samples fell within an acceptable range. Based on the cured property analysis of the three samples, there is no clear conclusion about transporting the samples before they are set; however, experience with saltstone grout indicates the samples should sit and develop some structure before being transported to SRNL for curing.

  10. Federal Energy Management Program Procedure for Notifying Congress Prior to Award of ESPCs

    Broader source: Energy.gov [DOE]

    Document displays the Federal Energy Management Program’s Procedure for notifying Congress prior to awarding energy savings performance contracts (ESPCs)

  11. T-697: Google Chrome Prior to 13.0.782.107 Multiple Security...

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

    Chrome Prior to 13.0.782.107 Multiple Security Vulnerabilities Releases >> Chrome OS Beta: Channel Update Chromium Security >> Reporting Security Bugs IMPACT ASSESSMENT: High...

  12. anion-exchange chromatography prior: Topics by E-print Network

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

    In realistic problems, both the transformation group analysis and the principle of maximum entropy are needed to determine the prior. The distributions thus found are...

  13. UTILITYID","UTILNAME","STATE_CODE","YEAR","MONTH","RESIDENTIAL REVENUES ($1,000)

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota"STATE_CODE","YEAR","MONTH","RESIDENTIAL REVENUES

  14. Using Group Prior to Identify People in Consumer Images Andrew C. Gallagher

    E-Print Network [OSTI]

    Chen, Tsuhan

    , many people annotate their images with captions such as "George and Martha in their canoe" whichUsing Group Prior to Identify People in Consumer Images Andrew C. Gallagher Carnegie Mellon this idea and describe the benefits of using a group prior for identifying people in consumer images

  15. 2014-2015 Housing/Dining Agreement Cancellation Policy Academic year cancellations prior to June 30

    E-Print Network [OSTI]

    Boyce, Richard L.

    2014-2015 Housing/Dining Agreement Cancellation Policy Academic year cancellations prior to June 30. Written notice of cancellation must be made to the Office of University Housing to avoid additional of housing and dining fees paid if the notice of cancellation is received prior to the first day of classes

  16. Efficient Bayesian multivariate fMRI analysis using a sparsifying spatio-temporal prior

    E-Print Network [OSTI]

    Edinburgh, University of

    Efficient Bayesian multivariate fMRI analysis using a sparsifying spatio-temporal prior Marcel A Available online 1 December 2009 Keywords: Multivariate analysis Bayesian inference Expectation propagation Laplace prior is introduced as a multivariate approach to the analysis of neuroimaging data. It is shown

  17. Prior Knowledge, Level Set Representations & Visual Grouping Mikael Rousson (mikael.rousson@siemens.com)

    E-Print Network [OSTI]

    Paragios, Nikos

    Prior Knowledge, Level Set Representations & Visual Grouping Mikael Rousson (mikael.rousson@siemens.com) Siemens Corporate Research 755 College Road East, Princeton, NJ 08540, USA Nikos Paragios (nikos plane of the prior model modulo a similarity transformation. The optimization of a statistical metric

  18. A WAVELET-BASED IMAGE DENOISING TECHNIQUE USING SPATIAL PRIORS Aleksandra PIZURICA 1

    E-Print Network [OSTI]

    Pizurica, Aleksandra

    A WAVELET-BASED IMAGE DENOISING TECHNIQUE USING SPATIAL PRIORS Aleksandra PIZURICA 1 , Wilfried, Belgium ABSTRACT We propose a new wavelet-based method for image denoising that applies the Bayesian framework, using prior knowledge about the spatial clustering of the wavelet coefficients. Local spatial

  19. Ranking Structured Documents: A Large Margin Based Approach for Patent Prior Art Search

    E-Print Network [OSTI]

    Gomes, Carla P.

    Ranking Structured Documents: A Large Margin Based Approach for Patent Prior Art Search Yunsong Guo propose an approach for automatically rank- ing structured documents applied to patent prior art search. Our model, SVM Patent Ranking (SVMP R) incorporates margin constraints that di- rectly capture

  20. 2009 No part may be reproduced in any form without prior authorization.

    E-Print Network [OSTI]

    Amin, S. Massoud

    /Tamper Detection 3. Comm. Protocol Security 4. Risk Mgmt. Enhancement 5. High Speed Encryption 1. Self Healing Grid without prior authorization. Goal: Optimize controls to compensate for damage or failure conditions prior authorization. Intelligent Flight Control System: Example ­ complete hydraulic failure (1997) #12

  1. Crop Revenue Coverage (CRC)

    E-Print Network [OSTI]

    Stokes, Kenneth; Barnaby, G. A. Art; Waller, Mark L.; Outlaw, Joe

    2008-10-17T23:59:59.000Z

    Futures contract Base price month Harvest price month Corn before 3/15 CBOT Sept Dec 15 to Jan 14 Aug Corn on 3/15 CBOT Dec Feb Oct Soybeans before 3/15 CBOT Sept Dec 15 to Jan 14 Aug Soybeans on 3/15 CBOT Nov Feb Oct Winter wheat on 9.../30 KCBOT July Aug 15 to Sept 14 Jun Cotton on 1/31 NYCE Oct Dec 15 to Jan 14 Sept Cotton on 2/28 or 3/15 NYCE Dec Jan 15 to Feb 14 Nov Grain sorghum* before 3/15 CBOT Corn Sept Dec 15 to Jan 14 Aug Grain sorghum* on 3/15 CBOT Corn Dec...

  2. Internal Revenue Service

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOEThe Bonneville PowerCherries 82981-1cnHigh SchoolIn Other NewsSpinInteragency1 01/01/2013 LOS ALAMOS NATIONAL

  3. Internal Revenue Service

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOEThe Bonneville PowerCherries 82981-1cnHigh SchoolIn Other NewsSpinInteragency1 01/01/2013 LOS ALAMOS NATIONAL2

  4. Internal Revenue Service

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOEThe Bonneville PowerCherries 82981-1cnHigh SchoolIn Other NewsSpinInteragency1 01/01/2013 LOSInternal541990 FILED

  5. Internal Revenue Service

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOEThe Bonneville PowerCherries 82981-1cnHigh SchoolIn Other NewsSpinInteragency1 01/01/2013 LOSInternal541990

  6. Internal Revenue Service

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOEThe Bonneville PowerCherries 82981-1cnHigh SchoolIn Other NewsSpinInteragency1 01/01/2013 LOSInternal5419902

  7. INFORMATIVE STRUCTURE PRIORS: JOINT LEARNING OF DYNAMIC REGULATORY NETWORKS FROM MULTIPLE TYPES OF DATA

    E-Print Network [OSTI]

    Hartemink, Alexander

    INFORMATIVE STRUCTURE PRIORS: JOINT LEARNING OF DYNAMIC REGULATORY NETWORKS FROM MULTIPLE TYPES operating in three phases of the cycle as shown in Figure 2. This synthetic cell cycle consists of cell

  8. Brain covariance selection: better individual functional connectivity models using population prior

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Brain covariance selection: better individual functional connectivity models using population prior bertrand.thirion@inria.fr Abstract Spontaneous brain activity, as observed in functional neuroimaging, has been shown to display reproducible structure that expresses brain architecture and car- ries markers

  9. Spanish Major Requirements Option A: Language and Hispanic Studies (for students declared prior to Fall 2013)

    E-Print Network [OSTI]

    Wisconsin at Madison, University of

    Spanish Major Requirements Option A: Language and Hispanic Studies (for students declared prior (12 credits) 311: Introduction to Advanced Language Practice 320: Spanish Phonetics _____ 3 additional course (322: Early Hispanic, 324: Modern Spanish, 326: Spanish American) Spanish 322 is recommended

  10. Clinical Symptoms and Angiographic Findings of Patients Undergoing Elective Coronary Angiography without Prior Stress Testing

    E-Print Network [OSTI]

    Abdallah, Mouin Sami

    2012-12-31T23:59:59.000Z

    Background: Many patients undergo elective coronary angiography without prior stress testing, precluding an assessment of their appropriateness for percutaneous coronary intervention (PCI). If, however, these patients have more severe angina...

  11. Algorithms for biomagnetic source imaging with prior anatomical and physiological information

    SciTech Connect (OSTI)

    Hughett, P W [Univ. of California, Berkeley, CA (United States). Dept. of Electrical Engineering and Computer Sciences

    1995-12-01T23:59:59.000Z

    This dissertation derives a new method for estimating current source amplitudes in the brain and heart from external magnetic field measurements and prior knowledge about the probable source positions and amplitudes. The minimum mean square error estimator for the linear inverse problem with statistical prior information was derived and is called the optimal constrained linear inverse method (OCLIM). OCLIM includes as special cases the Shim-Cho weighted pseudoinverse and Wiener estimators but allows more general priors and thus reduces the reconstruction error. Efficient algorithms were developed to compute the OCLIM estimate for instantaneous or time series data. The method was tested in a simulated neuromagnetic imaging problem with five simultaneously active sources on a grid of 387 possible source locations; all five sources were resolved, even though the true sources were not exactly at the modeled source positions and the true source statistics differed from the assumed statistics.

  12. Order relations and prior distributions in the estimation of multivariate normal parameters with partial data 

    E-Print Network [OSTI]

    Al-Nasir, Abdul Majid Hamza

    1968-01-01T23:59:59.000Z

    ORDER RELATIONS AND PRIOR DISTRIBU 'IONS IN 1:-IE ESTXYJiTION OF MULTIVARIATE NOPSLAL PARAI'E&iTiS NI~N PARTIAL DATA A Thesis by ABDUL MAJID HA?ZA AL-NASZR Submitt d o the Grad. nate College oi' Texas UM Univ rsity in partial fu' fillment . f... as to style and content by: Chairman oi Committee Head oF Department ?'? Aug st 1968 ABS ~~CT Order Relations and Prior Distributions in the Bstimation of Multivariate Normal Parameters with Part'al Data. (August 1)68) Abdul Madrid Hamza Al-N!asir B...

  13. Low dose tomographic fluoroscopy: 4D intervention guidance with running prior

    SciTech Connect (OSTI)

    Flach, Barbara; Kuntz, Jan; Brehm, Marcus; Kachelrieß, Marc [Medical Physics in Radiology, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 280, 69120 Heidelberg, Germany and Institute of Medical Physics, Friedrich–Alexander–University (FAU) of Erlangen–Nürnberg, Henkestraße 91, 91052 Erlangen (Germany)] [Medical Physics in Radiology, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 280, 69120 Heidelberg, Germany and Institute of Medical Physics, Friedrich–Alexander–University (FAU) of Erlangen–Nürnberg, Henkestraße 91, 91052 Erlangen (Germany); Kueres, Rolf [Medical Physics in Radiology, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 280, 69120 Heidelberg (Germany)] [Medical Physics in Radiology, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 280, 69120 Heidelberg (Germany); Bartling, Sönke [Medical Physics in Radiology, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 280, 69120 Heidelberg, Germany and Institute for Clinical Radiology and Nuclear Medicine, University Medical Center Mannheim, Theodor–Kutzer–Ufer 1–3, 68167 Mannheim (Germany)] [Medical Physics in Radiology, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 280, 69120 Heidelberg, Germany and Institute for Clinical Radiology and Nuclear Medicine, University Medical Center Mannheim, Theodor–Kutzer–Ufer 1–3, 68167 Mannheim (Germany)

    2013-10-15T23:59:59.000Z

    Purpose: Today's standard imaging technique in interventional radiology is the single- or biplane x-ray fluoroscopy which delivers 2D projection images as a function of time (2D+T). This state-of-the-art technology, however, suffers from its projective nature and is limited by the superposition of the patient's anatomy. Temporally resolved tomographic volumes (3D+T) would significantly improve the visualization of complex structures. A continuous tomographic data acquisition, if carried out with today's technology, would yield an excessive patient dose. Recently the authors proposed a method that enables tomographic fluoroscopy at the same dose level as projective fluoroscopy which means that if scanning time of an intervention guided by projective fluoroscopy is the same as that of an intervention guided by tomographic fluoroscopy, almost the same dose is administered to the patient. The purpose of this work is to extend authors' previous work and allow for patient motion during the intervention.Methods: The authors propose the running prior technique for adaptation of a prior image. This adaptation is realized by a combination of registration and projection replacement. In a first step the prior is deformed to the current position via affine and deformable registration. Then the information from outdated projections is replaced by newly acquired projections using forward and backprojection steps. The thus adapted volume is the running prior. The proposed method is validated by simulated as well as measured data. To investigate motion during intervention a moving head phantom was simulated. Real in vivo data of a pig are acquired by a prototype CT system consisting of a flat detector and a continuously rotating clinical gantry.Results: With the running prior technique it is possible to correct for motion without additional dose. For an application in intervention guidance both steps of the running prior technique, registration and replacement, are necessary. Reconstructed volumes based on the running prior show high image quality without introducing new artifacts and the interventional materials are displayed at the correct position.Conclusions: The running prior improves the robustness of low dose 3D+T intervention guidance toward intended or unintended patient motion.

  14. Order relations and prior distributions in the estimation of multivariate normal parameters with partial data

    E-Print Network [OSTI]

    Al-Nasir, Abdul Majid Hamza

    1968-01-01T23:59:59.000Z

    ORDER RELATIONS AND PRIOR DISTRIBU 'IONS IN 1:-IE ESTXYJiTION OF MULTIVARIATE NOPSLAL PARAI'E&iTiS NI~N PARTIAL DATA A Thesis by ABDUL MAJID HA?ZA AL-NASZR Submitt d o the Grad. nate College oi' Texas UM Univ rsity in partial fu' fillment . f... the requirement for the aegree of MASTER OF SCIENCE August 1968 Major Subject: Statistics ORDER RELATIONS AND PRIOR DISTRIBUTIONS IJJ THE ESTI1UTION OF MULTIVARIATE NORJJAL PARtuETERS NlTH PARTIAL DATA A Thesis ( by ABDUL IJAJID HANZA AL-NASIR Approved...

  15. Conditional maximum-entropy method for selecting prior distributions in Bayesian statistics

    E-Print Network [OSTI]

    Abe, Sumiyoshi

    2014-01-01T23:59:59.000Z

    The conditional maximum-entropy method (abbreviated here as C-MaxEnt) is formulated for selecting prior probability distributions in Bayesian statistics for parameter estimation. This method is inspired by a statistical-mechanical approach to systems governed by dynamics with largely-separated time scales and is based on three key concepts: conjugate pairs of variables, dimensionless integration measures with coarse-graining factors and partial maximization of the joint entropy. The method enables one to calculate a prior purely from a likelihood in a simple way. It is shown in particular how it not only yields Jeffreys's rules but also reveals new structures hidden behind them.

  16. Effects of administering a selected ergogenic aid prior to strenuous activity

    E-Print Network [OSTI]

    Lambert, Jacqueline

    1973-01-01T23:59:59.000Z

    EFFECTS OF ADMINISTERING A SELECTED ERGOGENIC AID PRIOR TO STRENUOUS ACTIVITY A Thesis by JACQUELINE LAMBERT Subm1tted to the Graduate College of Texas A&M Un1versity in partial fulf1llment of the requirement for the degree of MASTER... of Department Member August 1973 111 ABSTRACT Effects of Adm1nistering a Selected Ergogenic A 1d Prior to Strenuous Act1v1ty. (August 1973) Jacqueline Lambert, B. S. E. , Abilene Chr1stian College D1rected by: Dr. Homer Toison Purpose The purpose...

  17. Lessons Learned from Prior Attempts at National Security Reform The Project on National Security Reform

    E-Print Network [OSTI]

    Lewis, Robert Michael

    Lessons Learned from Prior Attempts at National Security Reform The Project on National Security Reform Overarching Issues Working Group Drew Cramer & Grant Mullins Thomas Jefferson Program in Public battles that ensue when attempting to change the national security apparatus can hinder effective reform

  18. Not to be cited without prior reference to the authors. ICES CM 2006 / H:12

    E-Print Network [OSTI]

    Heino, Mikko

    Not to be cited without prior reference to the authors. ICES CM 2006 / H:12 Theme session H the male phase and reproduce as females already in their first reproductive season) responds is parameterized for Epinephelus fuscoguttatus (common names: brown #12;marbled grouper or flowery cod

  19. The Articulated Scene Model: Model-less Priors for Robot Object Learning?

    E-Print Network [OSTI]

    Cremers, Daniel

    The Articulated Scene Model: Model-less Priors for Robot Object Learning? Agnes Swadzba, Niklas to design an articu- lated scene modeling approach [1] which enables a robot to extract articulated scene / articulated scene parts Ot. The moving persons are tracked using a particle filter with a weak cylinder model

  20. The Statistics of the Number of Neutron Collisions Prior to Absorption

    E-Print Network [OSTI]

    Pázsit, Imre

    The Statistics of the Number of Neutron Collisions Prior to Absorption Sara A. Pozzi* Oak Ridge Accepted July 25, 2005 Abstract ­ We propose a simple analytical model to describe the statistics, the energy transfer and the collision num- ber are related quantities, and therefore, the statistics of

  1. SemiSupervised Learning Using Prior Probabilities and EM Rebecca Bruce

    E-Print Network [OSTI]

    McCallum, Andrew

    of the parameters of a probabil­ ity model is formulated from a small amount of tagged data via a stochastic from the tagged data via a stochastic inference process. Intuitively, the inference process starts in a larger tagged data sam­ ple from the same population. The pseudo­counts form­ ing the prior distribution

  2. Blue and Gold Society Please Submit requests at least two weeks prior

    E-Print Network [OSTI]

    Jiang, Huiqiang

    Blue and Gold Society Please Submit requests at least two weeks prior to your event date Today: ____________________________ ___________________________________________ ___________________________________________ ___________________________________________ Assistance Required Number of Blue and Gold members needed: _______ Arrival Time: __: __ Departing Time: __: __ Blue and Gold Society attire: Formal (suit) Casual (rugby shirt) Other Any Additional Information

  3. Brain covariance selection: better individual functional connectivity models using population prior

    E-Print Network [OSTI]

    Brain covariance selection: better individual functional connectivity models using population prior.thirion@inria.fr Abstract Spontaneous brain activity, as observed in functional neuroimaging, has been shown to display reproducible structure that expresses brain architecture and car- ries markers of brain pathologies

  4. Prepared in cooperation with the Platte River Recovery Implementation Program River Channel Topographic Surveys Collected Prior

    E-Print Network [OSTI]

    Prepared in cooperation with the Platte River Recovery Implementation Program River Channel Topographic Surveys Collected Prior to and Following Elevated Flows in the Central Platte River, Spring 2008 Flows in the Central Platte River, Nebraska, Spring 2008 By Paul J. Kinzel Prepared in cooperation

  5. SOURCE SEPARATION USING SPARSE DISCRETE PRIOR MODELS Radu Balan, Justinian Rosca

    E-Print Network [OSTI]

    Balan, Radu V.

    SOURCE SEPARATION USING SPARSE DISCRETE PRIOR MODELS Radu Balan, Justinian Rosca Siemens Corporate Research 755 College Road East Princeton, NJ 08540 e-mail: radu.balan,justinian.rosca¡ @siemens, in their origi- nal domain, or transformed domain (e.g. frequency domain). The mixing model is either

  6. Penalized and weighted K-means for clustering with noise and prior

    E-Print Network [OSTI]

    Tseng, George C. "Chien-Cheng"

    Penalized and weighted K-means for clustering with noise and prior information incorporation George;Outline Intro of cluster analysis Model-based clustering Heuristic methods Hierarchical clustering K-means & K-memoids ...... A motivating example (yeast cell cycle microarray data) Penalized weighted K-means

  7. Spanish Major Requirements Option B: Literature and Hispanic Studies (for students declared prior to Fall 2013)

    E-Print Network [OSTI]

    Wisconsin at Madison, University of

    Spanish Major Requirements Option B: Literature and Hispanic Studies (for students declared prior: Introduction to Hispanic Cultures 224: Introduction to Hispanic Literatures Literature (12 credits) Spanish 322: Survey of Early Hispanic Literature _____ another 300-level literature survey (324: Modern Spanish, 326

  8. MARKOV RANDOM FIELD IMAGE PRIOR MODELS FOR MAP RECONSTRUCTION OF MAGNETOENCEPHALOGRAM IMAGES

    E-Print Network [OSTI]

    Wirthlin, Michael J.

    MARKOV RANDOM FIELD IMAGE PRIOR MODELS FOR MAP RECONSTRUCTION OF MAGNETOENCEPHALOGRAM IMAGES Brian as a classical inverse imaging prob- lem, which for MEG is notoriously ill posed and requires strong sam- ple grid. The second model permits simulating an MRF over the non-uniform grid required

  9. IEEE TRANSACTIONS ON IMAGE PROCESSING --ACCEPTED MANUSCRIPT 1 Interacting Geometric Priors For Robust

    E-Print Network [OSTI]

    are often the factors leading to biased estimation. Furthermore, the energy can be efficiently minimized- mulated as an energy minimization task, where the energy function includes fitting error a novel energy with high-level geometric priors that consider interactions between geometric models

  10. Construction of an Informative Hierarchical Prior Distribution: Application to Electricity Load

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    on the wavelet transform to forecast the load curve seen as a functional-valued autoregressive Hilbertian processConstruction of an Informative Hierarchical Prior Distribution: Application to Electricity Load the methodology to a working model for the electricity load forecasting on both simulated and real datasets, where

  11. Evaluation of In-House Windrow Composting as a Poultry Litter Treatment Prior to Land Application 

    E-Print Network [OSTI]

    Winkler, Scott

    2013-08-05T23:59:59.000Z

    . An experiment was conducted to determine the effectiveness of in-house windrow composting (IWC) of poultry litter prior to land application in terms of bacteria, odors and nutrients compared to untreated (fresh) litter. In the second part of the research...

  12. California Institute of Technology Request for Employee Clearance Prior to Termination Date

    E-Print Network [OSTI]

    Faraon, Andrei

    California Institute of Technology Date: Request for Employee Clearance Prior to Termination Date/Supervisor Name: Phone Number: Termination Date: International Scholar Services Library Lock and Key Shop P by employee. The following departments will be notified by Human Resources after the termination date: Campus

  13. Interactive Graph Cut Based Segmentation With Shape Priors Daniel Freedman and Tao Zhang

    E-Print Network [OSTI]

    Interactive Graph Cut Based Segmentation With Shape Priors Daniel Freedman and Tao Zhang Computer segmentation can be very chal- lenging, a small amount of user input can often resolve ambiguous decisions can be very chal- lenging, a small amount of user input can often resolve am- biguous decisions

  14. Fuzzy Classification of Genome Sequences Prior to Assembly Based on Similarity Measures*

    E-Print Network [OSTI]

    Nicolescu, Monica

    Fuzzy Classification of Genome Sequences Prior to Assembly Based on Similarity Measures* Sara number: 0447416). Abstract - Nucleotide sequencing of genomic data is an important step towards building into the overall genome. However, the existence of insertions, deletions and substitutions can complicate

  15. Master of Science in Bioinformatics Plan of Study (prior to Fall 2013)

    E-Print Network [OSTI]

    Zhou, Yaoqi

    in Bioinformatics (3 cr.) INFO B619 Structural Bioinformatics (3 cr.) INFO B646 Computational System Biology (3 cr.) CSCI 590 Algorithms in Bioinformatics (3 cr.) INFO B590 Computational Methods for Analyzing HighMaster of Science in Bioinformatics Plan of Study (prior to Fall 2013) Degree requirements listed

  16. Master of Science in Bioinformatics Plan of Study (prior to Fall 2012)

    E-Print Network [OSTI]

    Zhou, Yaoqi

    .) INFO-B 619 Structural Bioinformatics (3 cr.) INFO-B 646 Computational System Biology (3 cr.) INFO to Informatics (3 cr.) INFO-B 519 Introduction to Bioinformatics (3 cr.) INFO-B 556 Biological DatabaseMaster of Science in Bioinformatics Plan of Study (prior to Fall 2012) Note: these requirements

  17. Inoculation of beef with lactic-acid bacteria prior to vacuum packaging

    E-Print Network [OSTI]

    Hall, Lester Cedric

    1978-01-01T23:59:59.000Z

    d of Department ) (Member) August 1978 ABSTRACT Inoculation of Beef with Lactic-Acid Bacteria Prior to Vacuum Packaging. (August 1978) Lester Cedric Hall, B. S. , Texas A&M University Co-Chairmen of Advisory Committee: Dr. G. C. Smith and Dr Z... packaging was rapidly becoming an established business and would revolu- tionize the future of the wholesale beef market. Vacuum packaging is advantageous in that it (a) reduces weight losses from evaporation and trimming, (b) preserves meat color, (c...

  18. Microsoft Word - CX_Memo_Whitefish.docx

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

    FEC with equipment specifications, witness acceptance tests on revenue meter transformers prior to installation, and perform in-service revenue metering checks on voltages...

  19. Ligand placement based on prior structures: the guided ligand-replacement method

    SciTech Connect (OSTI)

    Klei, Herbert E. [Lawrence Berkeley National Laboratory, Berkeley, CA 94720 (United States); Bristol-Myers Squibb, Princeton, NJ 08543-4000 (United States); Moriarty, Nigel W., E-mail: nwmoriarty@lbl.gov; Echols, Nathaniel [Lawrence Berkeley National Laboratory, Berkeley, CA 94720 (United States); Terwilliger, Thomas C. [Los Alamos National Laboratory, Los Alamos, NM 87545-0001 (United States); Baldwin, Eric T. [Bristol-Myers Squibb, Princeton, NJ 08543-4000 (United States); Natural Discovery LLC, Princeton, NJ 08542-0096 (United States); Pokross, Matt; Posy, Shana [Bristol-Myers Squibb, Princeton, NJ 08543-4000 (United States); Adams, Paul D. [Lawrence Berkeley National Laboratory, Berkeley, CA 94720 (United States); University of California at Berkeley, Berkeley, CA 94720-1762 (United States)

    2014-01-01T23:59:59.000Z

    A new module, Guided Ligand Replacement (GLR), has been developed in Phenix to increase the ease and success rate of ligand placement when prior protein-ligand complexes are available. The process of iterative structure-based drug design involves the X-ray crystal structure determination of upwards of 100 ligands with the same general scaffold (i.e. chemotype) complexed with very similar, if not identical, protein targets. In conjunction with insights from computational models and assays, this collection of crystal structures is analyzed to improve potency, to achieve better selectivity and to reduce liabilities such as absorption, distribution, metabolism, excretion and toxicology. Current methods for modeling ligands into electron-density maps typically do not utilize information on how similar ligands bound in related structures. Even if the electron density is of sufficient quality and resolution to allow de novo placement, the process can take considerable time as the size, complexity and torsional degrees of freedom of the ligands increase. A new module, Guided Ligand Replacement (GLR), was developed in Phenix to increase the ease and success rate of ligand placement when prior protein–ligand complexes are available. At the heart of GLR is an algorithm based on graph theory that associates atoms in the target ligand with analogous atoms in the reference ligand. Based on this correspondence, a set of coordinates is generated for the target ligand. GLR is especially useful in two situations: (i) modeling a series of large, flexible, complicated or macrocyclic ligands in successive structures and (ii) modeling ligands as part of a refinement pipeline that can automatically select a reference structure. Even in those cases for which no reference structure is available, if there are multiple copies of the bound ligand per asymmetric unit GLR offers an efficient way to complete the model after the first ligand has been placed. In all of these applications, GLR leverages prior knowledge from earlier structures to facilitate ligand placement in the current structure.

  20. Characterization of statistical prior image constrained compressed sensing (PICCS): II. Application to dose reduction

    SciTech Connect (OSTI)

    Lauzier, Pascal Theriault; Chen Guanghong [Medical Physics Department, University of Wisconsin-Madison, Madison, Wisconsin 53705 (United States)

    2013-02-15T23:59:59.000Z

    Purpose: The ionizing radiation imparted to patients during computed tomography exams is raising concerns. This paper studies the performance of a scheme called dose reduction using prior image constrained compressed sensing (DR-PICCS). The purpose of this study is to characterize the effects of a statistical model of x-ray detection in the DR-PICCS framework and its impact on spatial resolution. Methods: Both numerical simulations with known ground truth and in vivo animal dataset were used in this study. In numerical simulations, a phantom was simulated with Poisson noise and with varying levels of eccentricity. Both the conventional filtered backprojection (FBP) and the PICCS algorithms were used to reconstruct images. In PICCS reconstructions, the prior image was generated using two different denoising methods: a simple Gaussian blur and a more advanced diffusion filter. Due to the lack of shift-invariance in nonlinear image reconstruction such as the one studied in this paper, the concept of local spatial resolution was used to study the sharpness of a reconstructed image. Specifically, a directional metric of image sharpness, the so-called pseudopoint spread function (pseudo-PSF), was employed to investigate local spatial resolution. Results: In the numerical studies, the pseudo-PSF was reduced from twice the voxel width in the prior image down to less than 1.1 times the voxel width in DR-PICCS reconstructions when the statistical model was not included. At the same noise level, when statistical weighting was used, the pseudo-PSF width in DR-PICCS reconstructed images varied between 1.5 and 0.75 times the voxel width depending on the direction along which it was measured. However, this anisotropy was largely eliminated when the prior image was generated using diffusion filtering; the pseudo-PSF width was reduced to below one voxel width in that case. In the in vivo study, a fourfold improvement in CNR was achieved while qualitatively maintaining sharpness; images also had a qualitatively more uniform noise spatial distribution when including a statistical model. Conclusions: DR-PICCS enables to reconstruct CT images with lower noise than FBP and the loss of spatial resolution can be mitigated to a large extent. The introduction of statistical modeling in DR-PICCS may improve some noise characteristics, but it also leads to anisotropic spatial resolution properties. A denoising method, such as the directional diffusion filtering, has been demonstrated to reduce anisotropy in spatial resolution effectively when it was combined with DR-PICCS with statistical modeling.

  1. An investigation of the production of rosebushes by the budding of understocks prior to rooting

    E-Print Network [OSTI]

    Jordan, Jack Morgan

    1966-01-01T23:59:59.000Z

    with 0. 1% indole butyric acid (IBA) by dipping the basal end of the cutting. Treatment Number 4-. Unrooted understock budded with buds soaked in 25 ppm kinetin solution at room temperature for approximately one hour prior to 10 bud. ding. Data..., 1966; the second time from April 2) to I'iay 19, 1966. The plant material was obtained from a commercial source near Tyler, Texas. Unrooted cuttings of Rosa multiflora were used as the understock; budwood from the hybrid tea rose 'Red Radiance...

  2. Variational and Shape Prior-based Level Set Model for Image Segmentation

    SciTech Connect (OSTI)

    Diop, El Hadji S.; Jerbi, Taha; Burdin, Valerie [Image and Information Department, Telecom Bretagne / INSERM U650, Brest (France); Ba, Sileye O. [Signal and Communications Department, Telecom Bretagne / Lab-STICC, Brest (France)

    2010-09-30T23:59:59.000Z

    A new image segmentation model based on level sets approach is presented herein. We deal with radiographic medical images where boundaries are not salient, and objects of interest have the same gray level as other structures in the image. Thus, an a priori information about the shape we look for is integrated in the level set evolution for good segmentation results. The proposed model also accounts a penalization term that forces the level set to be close to a signed distance function (SDF), which then avoids the re-initialization procedure. In addition, a variant and complete Mumford-Shah model is used in our functional; the added Hausdorff measure helps to better handle zones where boundaries are occluded or not salient. Finally, a weighted area term is added to the functional to make the level set drive rapidly to object's boundaries. The segmentation model is formulated in a variational framework, which, thanks to calculus of variations, yields to partial differential equations (PDEs) to guide the level set evolution. Results obtained on both synthetic and digital radiographs reconstruction (DRR) show that the proposed model improves on existing prior and non-prior shape based image segmentation.

  3. Copyright! 2010!No!part!of!this!presentation!may!be! reproduced!in!any!form!without!prior!authorization.

    E-Print Network [OSTI]

    Amin, S. Massoud

    !ENERGY!&!GREEN!DESIGN!" Smart!Grid!Cities Material!from!the!Electric!prior!authorization. Smart!Grid:!Integrate!Dispersed!Energy!Sources!into!a! Modern!Grid electrical energy infrastructure ­ Transform!the!Network!into!a!Smart!Grid ­ Develop

  4. Data-driven revenue management

    E-Print Network [OSTI]

    Uichanco, Joline Ann Villaranda

    2007-01-01T23:59:59.000Z

    In this thesis, we consider the classical newsvendor model and various important extensions. We do not assume that the demand distribution is known, rather the only information available is a set of independent samples ...

  5. The Dependence of the $A_V$ Prior for SN\\,Ia on Host Mass and Disk Inclination

    E-Print Network [OSTI]

    Holwerda, B W; Kenworthy, M A; Mack, K J

    2015-01-01T23:59:59.000Z

    Supernovae type Ia (SNIa) are used as "standard candles" for cosmological distance scales. To fit their light curve shape -- absolute luminosity relation, one needs to assume an intrinsic color and a likelihood of host galaxy extinction or a convolution of these, a color distribution prior. The host galaxy extinction prior is typically assumed to be an exponential drop-off for the current supernova programs ($P(A_V) \\propto e^{-A_V/\\tau_0}$). We explore the validity of this prior using the distribution of extinction values inferred when two galaxies accidentally overlap (an occulting galaxy pair). We correct the supernova luminosity distances from the SDSS-III Supernova projects (SDSS-SN) by matching the host galaxies to one of three templates from occulting galaxy pairs based on the host galaxy mass and the $A_V$-bias - prior-scale ($\\tau_0$) relation from Jha et al. (2007). We find that introducing an $A_V$ prior that depends on host mass results in lowered luminosity distances for the SDSS-SN on average bu...

  6. Percutaneous Biopsy of Osteoid Osteomas Prior to Percutaneous Treatment Using Two Different Biopsy Needles

    SciTech Connect (OSTI)

    Laredo, Jean-Denis, E-mail: jean-denis.laredo@lrb.aphp.fr; Hamze, Bassam; Jeribi, Riadh [Hopital Lariboisiere, Service de Radiologie (France)

    2009-09-15T23:59:59.000Z

    Biopsy is usually performed as the first step in percutaneous treatment of osteoid osteomas prior to laser photocoagulation. At our institution, 117 patients with a presumed diagnosis of osteoid osteoma had a trephine biopsy before a percutaneous laser photocoagulation. Biopsies were made using two different types of needles. A Bonopty biopsy needle (14-gauge cannula, 16-gauge trephine needle; Radi Medical Systems, Uppsala, Sweden) was used in 65 patients, and a Laurane biopsy needle (11-gauge cannula, 12.5-gauge trephine needle; Laurane Medical, Saint-Arnoult, France) in 43 patients. Overall biopsy results were positive for osteoid osteoma in 83 (70.9%) of the 117 cases. The Laurane needle provided a significantly higher positive rate (81.4%) than the Bonopty needle (66.1%; p < 0.05). This difference was not due to the size of the nidus, which was similar in the two groups (p < 0.05) and may be an effect of differences in needle caliber (12.5 vs. 14 gauge) as well as differences in needle design. The rate of positive biopsy results obtained in the present series with the Laurane biopsy needle is, to our knowledge, the highest rate reported in series dealing with percutaneous radiofrequency ablation and laser photocoagulation of osteoid osteomas.

  7. A technique for estimating 4D-CBCT using prior knowledge and limited-angle projections

    SciTech Connect (OSTI)

    Zhang, You [Medical Physics Graduate Program, Duke University, Durham, North Carolina 27710 (United States)] [Medical Physics Graduate Program, Duke University, Durham, North Carolina 27710 (United States); Yin, Fang-Fang; Ren, Lei [Medical Physics Graduate Program, Duke University, Durham, North Carolina 27710 and Department of Radiation Oncology, Duke University Medical Center, Durham, North Carolina 27710 (United States)] [Medical Physics Graduate Program, Duke University, Durham, North Carolina 27710 and Department of Radiation Oncology, Duke University Medical Center, Durham, North Carolina 27710 (United States); Segars, W. Paul [Medical Physics Graduate Program, Duke University, Durham, North Carolina 27710 and Department of Radiology, Carl E. Ravin Advanced Imaging Laboratories, Duke University Medical Center, Durham, North Carolina 27705 (United States)] [Medical Physics Graduate Program, Duke University, Durham, North Carolina 27710 and Department of Radiology, Carl E. Ravin Advanced Imaging Laboratories, Duke University Medical Center, Durham, North Carolina 27705 (United States)

    2013-12-15T23:59:59.000Z

    Purpose: To develop a technique to estimate onboard 4D-CBCT using prior information and limited-angle projections for potential 4D target verification of lung radiotherapy.Methods: Each phase of onboard 4D-CBCT is considered as a deformation from one selected phase (prior volume) of the planning 4D-CT. The deformation field maps (DFMs) are solved using a motion modeling and free-form deformation (MM-FD) technique. In the MM-FD technique, the DFMs are estimated using a motion model which is extracted from planning 4D-CT based on principal component analysis (PCA). The motion model parameters are optimized by matching the digitally reconstructed radiographs of the deformed volumes to the limited-angle onboard projections (data fidelity constraint). Afterward, the estimated DFMs are fine-tuned using a FD model based on data fidelity constraint and deformation energy minimization. The 4D digital extended-cardiac-torso phantom was used to evaluate the MM-FD technique. A lung patient with a 30 mm diameter lesion was simulated with various anatomical and respirational changes from planning 4D-CT to onboard volume, including changes of respiration amplitude, lesion size and lesion average-position, and phase shift between lesion and body respiratory cycle. The lesions were contoured in both the estimated and “ground-truth” onboard 4D-CBCT for comparison. 3D volume percentage-difference (VPD) and center-of-mass shift (COMS) were calculated to evaluate the estimation accuracy of three techniques: MM-FD, MM-only, and FD-only. Different onboard projection acquisition scenarios and projection noise levels were simulated to investigate their effects on the estimation accuracy.Results: For all simulated patient and projection acquisition scenarios, the mean VPD (±S.D.)/COMS (±S.D.) between lesions in prior images and “ground-truth” onboard images were 136.11% (±42.76%)/15.5 mm (±3.9 mm). Using orthogonal-view 15°-each scan angle, the mean VPD/COMS between the lesion in estimated and “ground-truth” onboard images for MM-only, FD-only, and MM-FD techniques were 60.10% (±27.17%)/4.9 mm (±3.0 mm), 96.07% (±31.48%)/12.1 mm (±3.9 mm) and 11.45% (±9.37%)/1.3 mm (±1.3 mm), respectively. For orthogonal-view 30°-each scan angle, the corresponding results were 59.16% (±26.66%)/4.9 mm (±3.0 mm), 75.98% (±27.21%)/9.9 mm (±4.0 mm), and 5.22% (±2.12%)/0.5 mm (±0.4 mm). For single-view scan angles of 3°, 30°, and 60°, the results for MM-FD technique were 32.77% (±17.87%)/3.2 mm (±2.2 mm), 24.57% (±18.18%)/2.9 mm (±2.0 mm), and 10.48% (±9.50%)/1.1 mm (±1.3 mm), respectively. For projection angular-sampling-intervals of 0.6°, 1.2°, and 2.5° with the orthogonal-view 30°-each scan angle, the MM-FD technique generated similar VPD (maximum deviation 2.91%) and COMS (maximum deviation 0.6 mm), while sparser sampling yielded larger VPD/COMS. With equal number of projections, the estimation results using scattered 360° scan angle were slightly better than those using orthogonal-view 30°-each scan angle. The estimation accuracy of MM-FD technique declined as noise level increased.Conclusions: The MM-FD technique substantially improves the estimation accuracy for onboard 4D-CBCT using prior planning 4D-CT and limited-angle projections, compared to the MM-only and FD-only techniques. It can potentially be used for the inter/intrafractional 4D-localization verification.

  8. Resection of parathyroid tumor in the aorticopulmonary window without prior neck exploration

    SciTech Connect (OSTI)

    McHenry, C.; Walsh, M.; Jarosz, H.; Henkin, R.; Tope, J.; Lawrence, A.M.; Paloyan, E.

    1988-12-01T23:59:59.000Z

    Of 522 patients with hyperparathyroidism operated on from 1973 to 1987 at our institution, there were seven (1.3%), each with an ectopic, hyperfunctioning mediastinal parathyroid adenoma, who required median sternotomy. In three of these seven patients, the tumor was located in the aorticopulmonary window. A 61-year-old woman with primary hyperparathyroidism had a preoperative thallium-technetium subtraction scan that showed thallium uptake at the base of the heart without any uptake in the neck. After further workup and without prior neck exploration, a parathyroid adenoma was found in the aorticopulmonary window through a median sternotomy. Six months later, serum calcium, phosphorus, and parathyroid hormone values remain normal. Two other cases of parathyroid adenoma in the aorticopulmonary window are presented. Of these two patients, the thallium scan was a key element in the immediate mediastinal exploration of one, who was transferred from another hospital comatose and intubated, in acute hypercalcemic crisis. Since mediastinal parathyroid tumors that necessitate median sternotomy occur in less than 2% of patients with primary hyperparathyroidism, we do not advocate routine preoperative localization studies before an initial cervical operation; localization, however, may be justified in selected cases, such as in critically ill patients or in instances of acute hyperparathyroidism, when the first operation needs to be curative.

  9. Up to four planets around the M dwarf GJ 163. Sensitivity of Bayesian planet detection criteria to prior choice

    E-Print Network [OSTI]

    Tuomi, Mikko

    2013-01-01T23:59:59.000Z

    Exoplanet Doppler surveys are currently the most efficient means to detect low-mass companions to nearby stars. Among these stars, the light M dwarfs provide the highest sensitivity to detect low-mass exoplanet candidates. Evidence is accumulating that a substantial fraction of these low-mass planets are found in high-multiplicity planetary systems. GJ 163 is a nearby inactive M dwarf with abundant public observations obtained using the HARPS spectrograph. We obtain and analyse radial velocities from the HARPS public spectra of GJ 163 and investigate the presence of a planetary companions orbiting it. The number of planet candidates detected might depend on some prior assumptions. Since the impact of prior choice has not been investigated throughly previously, we study the effects of different prior densities on the detectability of planet candidates around GJ 163. We use Bayesian tools, i.e. posterior samplings and model comparisons, when analysing the GJ 163 velocities. We consider models accounting for the...

  10. Terminal Interface Conformations Modulate Dimer Stability Prior to Amino Terminal Autoprocessing of HIV-1 Protease

    SciTech Connect (OSTI)

    Agniswamy, Johnson; Sayer, Jane M.; Weber, Irene T.; Louis, John M. (GSU); (NIH)

    2012-04-17T23:59:59.000Z

    The HIV-1 protease (PR) mediates its own release (autoprocessing) from the polyprotein precursor, Gag-Pol, flanked by the transframe region (TFR) and reverse transcriptase at its N- and C-termini, respectively. Autoprocessing at the N-terminus of PR mediates stable dimer formation essential for catalytic activity, leading to the formation of infectious virus. An antiparallel {beta}-sheet interface formed by the four N- and C-terminal residues of each subunit is important for dimer stability. Here, we present the first high-resolution crystal structures of model protease precursor-clinical inhibitor (PI darunavir or saquinavir) complexes, revealing varying conformations of the N-terminal flanking (S{sup -4}FNF{sup -1}) and interface residues (P{sup 1}QIT{sup 4}). A 180{sup o} rotation of the T{sup 4}-L{sup 5} peptide bond is accompanied by a new Q{sup 2}-L{sup 5} hydrogen bond and complete disengagement of PQIT from the {beta}-sheet dimer interface, which may be a feature for intramolecular autoprocessing. This result is consistent with drastically lower thermal stability by 14-20 C of PI complexes of precursors and the mature PR lacking its PQIT residues (by 18.3 C). Similar to the TFR-PR precursor, this deletion also results in a darunavir dissociation constant (2 x 10{sup 4})-fold higher and a markedly increased dimer dissociation constant relative to the mature PR. The terminal {beta}-sheet perturbations of the dimeric structure likely account for the drastically poorer inhibition of autoprocessing of TFR-PR relative to the mature PR, even though significant differences in active site-PI interactions in these structures were not observed. The novel conformations of the dimer interface may be exploited to target selectively the protease precursor prior to its N-terminal cleavage.

  11. HAZ hardenability in welded C-Mn steels: The role of prior microstructure

    SciTech Connect (OSTI)

    Sarafinchin, D.; Patchett, B.M.

    1994-12-31T23:59:59.000Z

    The hardenability of the heat-affected zone (HAZ) in C-Mn steels is one of the primary influences on susceptibility to HAC in welded structures. Procedure control of HAZ hardness is based on the use of preheat and/or heat input to limit the peak HAZ hardness to 350--450 Hv10, depending on hydrogen level. Determination of procedural conditions depends on material thickness and carbon equivalent, but does not involve prior microstructure. This study investigated the influence of hot-rolled and normalized base metal microstructures on the level, development and location of peak hardness in steels of identical chemical composition. One heat of A516Gr70 steel in the hot-rolled condition was cut in two and one-half was normalized. This produced microstructures of differing grain size and pearlite coarseness. Gas tungsten arc welding (GTAW) fusion welds at two heat inputs (0.5 and 2.5 KJ/mm) were placed in each of the two base metals. Macro-and microhardness surveys and metallographic analysis were used o determine the location and level of HAZ hardness. Carbon gradients due to incomplete dissolution of cementite and lack of time for homogenization by diffusion cause significant differences in macro-and microhardness of HAZ constituents in A516Gr70 weld zones. Increased pearlite grain size, and to a lesser extent, pearlite lamellar thickness, produce martensitic zones of high hardness in hot-rolled A516Gr70 in two regions: at temperatures just over the A{sub 3} and at temperatures just over the A{sub 1}. Of the two, the region just over the A{sub 3} although removed from the fusion line, has the highest HAZ hardness and is most likely to be susceptible to HAC. Normalized steel is likely to be more resistant to HAC in the HAZ than hot-rolled steel of identical chemical composition.

  12. Standard Operating Procedure (SOP) All stock must be properly secured in the lathe chuck or mounted prior to the machining

    E-Print Network [OSTI]

    Veiga, Pedro Manuel Barbosa

    or mounted prior to the machining process taking place. Use the correct sized clamp or vise for the stockStandard Operating Procedure (SOP) ­ Lathe · All stock must be properly secured in the lathe chuck the spindle work has the cup center imbedded; tail, stock and tool rests are securely clamped

  13. Molecular-Level Study of the Effect of Prior Axial Compression/Torsion on the Axial-Tensile Strength

    E-Print Network [OSTI]

    Grujicic, Mica

    that prior axial torsion can induce major changes in the material microstructure, causing significant, such as bullets, detonated-mine-induced soil ejecta, improvised explosive devices (IEDs), shell or turbine frag of high-fidelity material-constitutive models capa- ble of describing the behavior of fibers

  14. http://www.ini.cmu.edu/current/policies/prior2004.aspx INI Policies and Procedures For Students who Entered the

    E-Print Network [OSTI]

    Tague, Patrick

    http://www.ini.cmu.edu/current/policies/prior2004.aspx INI Policies and Procedures For Students who is intended to summarize the rules of the INI graduate programs. These policies are subject to change and/or modifications and do not constitute a contract. I. INI DEGREE REQUIREMENTS II. COURSE ENROLLMENT III

  15. Light Field Denoising, Light Field Superresolution and Stereo Camera Based Refocussing using a GMM Light Field Patch Prior

    E-Print Network [OSTI]

    Mellor-Crummey, John

    Light Field Denoising, Light Field Superresolution and Stereo Camera Based Refocussing using a GMM Light Field Patch Prior Kaushik Mitra and Ashok Veeraraghavan ECE, Rice University Houston, Tx 77005 Kaushik.Mitra@rice.edu, vashok@rice.edu Abstract With the recent availability of commercial light field

  16. Dissertation Defense Checklist Student: Schedule Prospectus Meeting. This should be done 4-6 months prior to defense.

    E-Print Network [OSTI]

    Michigan, University of

    Dissertation Defense Checklist Student: Schedule Prospectus Meeting. This should be done 4-6 months prior to defense. Take Approval of Dissertation Prospectus form to meeting. Date of meeting_____________ Student: Submit Approval of Dissertation Prospectus form to SAA Office. SAA Office submits Dissertation

  17. Completed form must be received by ODS no later than 5 business days prior to the exam. TEST PROCTORING FORM

    E-Print Network [OSTI]

    Completed form must be received by ODS no later than 5 business days prior to the exam. TEST-993-2474 Fax: 703-993-4306 Testing Hours: Monday - Friday 9 AM till 5 PM Tuesday 9 AM till 9 PM Email: ods@gmu.edu Website: http://ods.gmu.edu STUDENT INFORMATION (to be completed by student) Name Email Course I have read

  18. Copyright! 2010!No!part!of!this!presentation!may!be! reproduced!in!any!form!without!prior!authorization.

    E-Print Network [OSTI]

    Amin, S. Massoud

    !Electrical!Devices!(IEDs)!&!Programmable! Logic!Controllers!(PLCs)!are!being!extensively!used!in! substations!and!power!plants Today, digital!and!Critical!Infrastructure!Security:! Toward!Smarter!and!More!Secure! Power!and!Energy!Infrastructures Material!from!the!Electric!Power!of!this!presentation!may!be!reproduced!in!any!form without!prior!authorization. Unconventional!Threats!to!Security Connectivity Complexity #12;© 2010!No!part

  19. The University of Rochester Revenue Bonds, Series 2003B (the "Series 2003B Bonds") were issued on November 6, 2003 as auction rate securities and are subject to mandatory tender for purchase and remarketing on September 3, 2008 (the "Conversion Date") in

    E-Print Network [OSTI]

    Portman, Douglas

    on November 6, 2003 as auction rate securities and are subject to mandatory tender for purchase Fund and any Bond Purchase Fund) established under the Authority's University of Rochester Revenue Bond has no taxing power. Description: The Series 2003B Bonds will be reoffered on their Conversion Date

  20. Burnup calculation by the method of first-flight collision probabilities using average chords prior to the first collision

    SciTech Connect (OSTI)

    Karpushkin, T. Yu., E-mail: timka83@yandex.ru [Russian Research Centre Kurchatov Institute (Russian Federation)

    2012-12-15T23:59:59.000Z

    A technique to calculate the burnup of materials of cells and fuel assemblies using the matrices of first-flight neutron collision probabilities rebuilt at a given burnup step is presented. A method to rebuild and correct first collision probability matrices using average chords prior to the first neutron collision, which are calculated with the help of geometric modules of constructed stochastic neutron trajectories, is described. Results of calculation of the infinite multiplication factor for elementary cells with a modified material composition compared to the reference one as well as calculation of material burnup in the cells and fuel assemblies of a VVER-1000 are presented.

  1. Free, Prior and Informed Consent (FPIC) : does it give indigenous peoples more control over development of their lands in the Philippines?

    E-Print Network [OSTI]

    Co, Ronilda R. (Ronilda Rosario)

    2008-01-01T23:59:59.000Z

    The 1998 Indigenous Peoples Rights Act (IPRA) grants indigenous peoples (IPs) in the Philippines the right to Free, Prior, and Informed Consent (FPIC) with regard to development projects undertaken on their ancestral lands. ...

  2. Presidential MAGNET Fellowship for Students Admitted Prior to 2013 The Presidential MAGNET Fellowship is a five-year recruitment fellowship for incoming

    E-Print Network [OSTI]

    Dennehy, John

    education. Please note: The Presidential MAGNET Fellows are not permitted to hold any other Graduate CenterPresidential MAGNET Fellowship for Students Admitted Prior to 2013 The Presidential MAGNET

  3. Prior Fiscal Years

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

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

  4. NatPriorLst

    Office of Legacy Management (LM)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilA groupTuba City, Arizona, DisposalFourthN V O 1 8 7 + PROJECTpi/LFebruary 1999

  5. Prior Fiscal Years

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's Possible forPortsmouth/Paducah47,193.70 Hg Mercury 35 Br Bromine 43 c echnetium 93

  6. The materials listed below are housed in the Special Collections Department at CU-Boulder. Special Collections has limited hours of operation. Please call 303.492.6144 to confirm prior to visiting or email spc@colorado.edu.

    E-Print Network [OSTI]

    Mojzsis, Stephen J.

    Collections has limited hours of operation. Please call 303.492.6144 to confirm prior to visiting or email spc

  7. Results of screening activities in salt states prior to the enactment of the Nationall Waste Policy Act

    SciTech Connect (OSTI)

    Carbiener, W.A.

    1983-01-01T23:59:59.000Z

    The identification of potential sites for a nuclear waste repository through screening procedures in the salt states is a well-established, deliberate process. This screening process has made it possible to carry out detailed studies of many of the most promising potential sites, and general studies of all the sites, in anticipation of the siting guidelines specified in the Nuclear Waste Policy Act. The screening work completed prior to the passage of the Act allowed the Secretary of Energy to identify seven salt sites as potentially acceptable under the provisions of Section 116(a) of the Act. These sites were formally identified by letters from Secretary Hodel to the states of Texas, Utah, Mississippi, and Louisiana on February 2, 1983. The potentially acceptable salt sites were in Deaf Smith and Swisher Counties in Texas; Davis and Lavender Canyons in the Gibson Dome location in Utah; Richton and Cypress Creek Domes in Mississippi; and Vacherie Dome in Louisiana. Further screening will include comparison of each potentially acceptable site against disqualification factors and selection of a preferred site in each of the three geohydrologic settings from those remaining, in accordance with the siting guidelines. These steps will be documented in statutory Environmental Assessments prepared for each site to be nominated for detailed characterization. 9 references.

  8. Cost estimate and economic issues associated with the MOX option (prior to DOE`s record of decision)

    SciTech Connect (OSTI)

    Reid, R.L.; Miller, J.W.

    1997-04-01T23:59:59.000Z

    Before the January 1997 Record of Decision (ROD), the U.S. Department of Energy Office of Fissile Materials Disposition (DOE-MD) evaluated three technologies for the disposition of {approximately}50 MT of surplus plutonium from defense-related programs-reactors, immobilization, and deep boreholes. As part of the process supporting the ROD, and comprehensive assessment of technical viability, cost, and schedule was conducted by DOE-MD and its national laboratory contractors. Oak Ridge National Laboratory managed and coordinated the life-cycle cost (LCC) assessment effort for this program. This report discusses the economic analysis methodology and the results for the reactor options considered prior to ROD. A secondary intent of the report is to discuss major technical and economic issues that impact cost and schedule. To evaluate the economics of the reactor option and other technologies on an equitable basis, a set of cost-estimating guidelines and a common cost-estimating format were utilized by all three technology teams. This report includes the major economic analysis assumptions and the comparative constant-dollar and discounted-dollar LCCs for all nine reactor scenarios.

  9. Confirmation of Dissertation/ Executive Position Paper Committee DIRECTIONS: Prior to the defense, complete required information and print the form. Send the original copy with

    E-Print Network [OSTI]

    Firestone, Jeremy

    of Dissertation/ Executive Position Paper Committee DIRECTIONS: Prior to the defense, complete required of Graduate and Professional Education when Dissertation/Executive Position Paper Committee has been finalized. (Form revised: Feb 2007) DISSERTATION/EXECUTIVE POSITION PAPER COMMITTEE COMPOSITION: Each dissertation

  10. Neuroprotection at Drosophila Synapses Conferred by Prior Shanker Karunanithi,1 Jeffrey W. Barclay,2 R. Meldrum Robertson,2 Ian R. Brown,3 and Harold L. Atwood1

    E-Print Network [OSTI]

    Robertson, Meldrum

    ; heat shock proteins; quanta; thermal stress; presynaptic; postsynaptic; neuromuscular Prior exposure such as synaptic function from subse- quent stress. The neurophysiological consequences of heat shock have not been is down-regulated during ther- mal stress, but the predominant heat shock protein hsp70 is rapidly induced

  11. Fiberglass Duct Cleaning Safe Work Practices Duct Cleaning -Prior to reaching a decision to clean a duct, an investigation of possible

    E-Print Network [OSTI]

    de Lijser, Peter

    ­ Locations should be noted prior to conducting work. Lockers, Showers, and Hand Wash Sinks ­ Should to be sure that there are no hazardous containing materials in the duct system such as Asbestos. Asbestos into particulate collection equipment. 3. All equipment located outside should be placed downwind and away from

  12. A review of "Defining the Jacobean Church: the Politics of Religious Controversy, 1603-1625." by Charles W.A. Prior

    E-Print Network [OSTI]

    Parry, Graham

    2006-01-01T23:59:59.000Z

    literature of the period 1600-40 remains almost wholly unstudied, and much historiographi- cal debate has focused on a tiny sample of surviving material.? Prior has made some inroads into this terra incognita and encountered a number of little- known...

  13. Procedure for Termination A termination should be processed when a student's job is ending prior to the originally scheduled end date. (The

    E-Print Network [OSTI]

    Guenther, Frank

    Procedure for Termination A termination should be processed when a student's job is ending prior to the originally scheduled end date. (The system will automatically terminate a job when the scheduled end date is reached.) NOTE: A termination will only terminate the selected job for the student. It will not terminate

  14. Guidelines for assessment PhD dissertation and public defence The assessment committee assesses the academic quality of the PhD dissertation in question. Prior to the

    E-Print Network [OSTI]

    1 of 5 Guidelines for assessment ­ PhD dissertation and public defence The assessment committee assesses the academic quality of the PhD dissertation in question. Prior to the submission that the PhD process has been satisfactory and that all formal requirements have been met

  15. Choice Based Revenue Management for Parallel Flights

    E-Print Network [OSTI]

    2014-03-05T23:59:59.000Z

    Mar 5, 2014 ... The inputs of the stochastic models include booking arrival rates, competitor .... and most passengers travel for business purposes and consider.

  16. Net to Close/ Revenue Expense (Widen) Budget

    E-Print Network [OSTI]

    Bieber, Michael

    Systems Campus Wide 450,000$ 1,850,000$ Chiller and Controls Cypress Hall 550,000$ 2,400,000$ Elevator

  17. Industrial Revenue Bond Program (District of Columbia)

    Broader source: Energy.gov [DOE]

    The District provides below market bond financing to lower the costs of borrowing for qualified capital construction and renovation projects. The program is available to non-profits, institutions,...

  18. Revenue Management: A Real Options Approach

    E-Print Network [OSTI]

    Marcotte, Patrice

    . The active management typically occurs through managerial levers such as price, promotion or availabil- ity acceptable prices and inventory release quantities (number of cars available for rent at a given price) as a function of remaining time and available inventory. The pricing and inventory release recommen- dations

  19. Update on Revenue Strategies | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilA group current C3EDepartment of Energy Office of EnergyMotor

  20. 2013 Total Electric Industry- Revenue (Thousands Dollars)

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40Coal Stocks at Commercial andSeptember 25,9,1996 N Y M

  1. Revenue From Contractor Fees | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page onYouTube YouTube Note: Since the.pdfBreakingMay 2015 <Department of ii iii ACKNOWLEDGEMENTS This study

  2. PBL FY2001 Audited Accumulated Net Revenues

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

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

  3. The role of molybdenum additions and prior deformation on acicular ferrite formation in microalloyed Nb-Ti low-carbon line-pipe steels

    SciTech Connect (OSTI)

    Tang Zhenghua [Department of Materials Science and Metallurgical Engineering, University of Pretoria, Pretoria 0002 (South Africa)], E-mail: n22323784@yahoo.com; Stumpf, Waldo [Department of Materials Science and Metallurgical Engineering, University of Pretoria, Pretoria 0002 (South Africa)

    2008-06-15T23:59:59.000Z

    Microstructures in Nb-Ti-microalloyed line-pipe steels with various molybdenum additions, consisted mostly of acicular ferrite plus polygonal ferrite after hot rolling and rapid cooling. Structure-sensitive surface relief after etching on shadowed extraction replicas, allowed quantification of the acicular and polygonal ferrite contents. Continuous cooling transformation diagrams of two alloys, one Mo-free and the other containing 0.22% Mo, were determined for cooling rates from 0.1 to 40 deg. C s{sup -1} without and with prior deformation of the austenite below the nil-recrystallisation temperature. Molybdenum additions slightly enhanced the acicular ferrite formation in the strain-free austenite whereas prior deformation had a much greater effect, and strongly promoted acicular ferrite formation in both alloys. Thin foil electron microscopy of acicular ferrite in these low-inclusion content alloys showed a preference for parallel acicular ferrite laths with less 'chaotically' nucleated laths.

  4. INTERNSHIP AGREEMENT (Fall 2005) University of Pittsburgh at Greensburg This form must be completed prior to registering for an internship. To receive credit, students must have a faculty sponsor. Please print

    E-Print Network [OSTI]

    Jiang, Huiqiang

    INTERNSHIP AGREEMENT (Fall 2005) University of Pittsburgh at Greensburg This form must be completed prior to registering for an internship. To receive credit, students must have a faculty sponsor. Please for the final signature prior to registering for the internship. General questions may be directed to Office

  5. Continuing GE pattern for students who began SF State prior to Fall 2014 (revised June 2, 2014) 1 General Education and Other Graduation Requirements for students enrolled at SF

    E-Print Network [OSTI]

    Continuing GE pattern for students who began SF State prior to Fall 2014 for students enrolled at SF State prior to Fall of 2014 A new GE pattern, the following lists of courses include courses from both the old GE as well

  6. SU-E-J-83: Ion Imaging to Better Estimate In-Vivo Relative Stopping Powers Using X-Ray CT Prior-Knowledge Information

    SciTech Connect (OSTI)

    Dias, M [Dipartamento di Elettronica, Informazione e Bioingegneria - DEIB, Politecnico di Milano (Italy); Massachusetts General Hospital, Boston, MA (United States); Collins-Fekete, C [Massachusetts General Hospital, Boston, MA (United States); Departement de physique, de genie physique et d'optique et Centre de recherche sur le cancer, Universite Laval, Quebec (Canada); Riboldi, M; Baroni, G [Dipartamento di Elettronica, Informazione e Bioingegneria - DEIB, Politecnico di Milano (Italy); Doolan, P [Massachusetts General Hospital, Boston, MA (United States); University College London, London (United Kingdom); Hansen, D [Experimental Clinical Oncology, Aarhus University, 8000 Aarhus C (Denmark); Seco, J [Massachusetts General Hospital, Boston, MA (United States)

    2014-06-01T23:59:59.000Z

    Purpose: To reduce uncertainties in relative stopping power (RSP) estimates for ions (alpha and carbon) by using Ion radiographic-imaging and X-ray CT prior-knowledge. Methods: A 36×36 phantom matrix composed of 9 materials with different thicknesses and randomly placed is generated. Theoretical RSPs are calculated using stopping power (SP) data from three references (Janni, ICRU49 and Bischel). We introduced an artificial systematic error (1.5%, 2.5% or 3.5%) and a random error (<0.5%) to the SP to simulated patient ion-range errors present in clinic environment. Carbon/alpha final energy for each RSPs set (theoretical and from CT images) is obtained with a ray-tracing algorithm. A gradient descent (GD) method is used to minimize the difference in exit particle energy, between theory and X-ray CT RSP maps, by iteratively correcting the RSP map from X-ray CT. Once a new set of RSPs is obtained for a direction a new optimization is done over other direction using the RSPs from the previous optimization. Theoretical RSPs are compared with experimental RSPs obtained with Gammex Phantom. Results: Preliminary results show that optimized RSP values can be obtained with smaller uncertainties (<1%) than clinical RSPs (1.5% to 3.5%). Theoretical values from three different references show uncertainties, up to 3% from experimental values. Further investigation will consider prior-knowledge from RSP obtained with CT images and ion radiographies from Monte Carlo Simulations. Conclusion: GD and ray-tracing methods have been implemented to reduce RSP uncertainties from values obtained for clinical treatment. Experimental RSPs will be obtained using carbon/alpha beams to consider the existence of material dependent systematic errors. Based on the results, it is hoped to show that using ray-tracing optimization with ion radiography and prior knowledge on RPSs, treatment planning accuracy and cost-effectiveness can be improved.

  7. Department of the Treasury Internal RevenueS e ~ l ~ e

    E-Print Network [OSTI]

    Ravikumar, B.

    Gross recelpts $ 2,483,379. H(a) IS this a group return F Name and addressof ar~nciaaloff1cer:MR. PETER% of its assets. Clty or town, state or country,and ZIP + 4 ROHERT PARK, CA 94928 1'Part:ll ( Signature

  8. Low-Risk and Cost-Effective Prior Savings Estimates for Large-Scale Energy Conservation Projects in Housing: Learning from the Fort Polk GHP Project

    SciTech Connect (OSTI)

    Shonder, John A [ORNL; Hughes, Patrick [ORNL; Thornton, Jeff W. [Thermal Energy Systems Specialists, Inc.

    1997-08-01T23:59:59.000Z

    Many opportunities exist for large-scale energy conservation projects in housing: military housing, federally-subsidized low-income housing, and planned communities (condominiums, townhomes, senior centers) to name a few. Energy savings performance contracting (ESPC) is now receiving greater attention, as a means to implement such projects. This paper proposes an improved method for prior (to construction) savings estimates for these projects. More accurate prior estimates reduce project risk, decrease financing costs, and help avoid post-construction legal disputes over performance contract baseline adjustments. The proposed approach to prior estimates is verified against data from Fort Polk, LA. In the course of evaluating the ESPC at Fort Polk, Louisiana, we have collected energy use data - both at the electrical feeder level and at the level of individual residences - which allowed us to develop calibrated engineering models which accurately predict pre-retrofit energy consumption. We believe that such calibrated models could be used to provide much more accurate estimates of energy savings in retrofit projects, particularly in cases where the energy consumption of large populations of housing can be captured on one or a few meters. The improved savings estimating approach described here is based on an engineering model calibrated to field-collected data from the pre-retrofit period. A dynamic model of pre-retrofit energy use was developed for all housing and non-housing loads on a complete electrical feeder at Fort Polk. The feeder serves 46 buildings containing a total of 200 individual apartments. Of the 46 buildings, there are three unique types, and among these types the only difference is compass orientation. The model included the heat transfer characteristics of the buildings, the pre-retrofit air source heat pump, a hot water consumption model and a profile for electrical use by lights and other appliances. Energy consumption for all 200 apartments was totaled, and by adjusting thermostat setpoints and outdoor air infiltration parameters, the models were matched to field-collected energy consumption data for the entire feeder. The energy conservation measures were then implemented in the calibrated model: the air source heat pumps were replaced by geothermal heat pumps (GHPs) with desuperheaters; hot water loads were reduced to account for the low-flow shower heads; and lighting loads were reduced to account for fixture delamping and replacement with compact fluorescent lights (CFLs). Our analysis of pre- and post-retrofit data (Shonder and Hughes, 1997) indicates that the retrofits have saved 30.3% of pre-retrofit electrical energy consumption on the feeder modeled in this paper. Using the method outlined, we have been able to predict this savings within 0.1% of its measured value, using only pre-construction energy consumption data, and data from one pilot test site. It is well-known that predictions of savings from energy conservation programs are often optimistic, especially in the case of residential retrofits. Fels and keating (1993) cite several examples of programs which achieved as little as 20% of the predicted energy savings. Factors which influence the sometimes large discrepancies between actual and predicted savings include changes in occupancy, take-back effects (in which more efficient system operation leads occupants to choose higher levels of comfort), and changes in base energy use (e.g. through purchase of additional appliances such as washing machines and clothes dryers). An even larger factor, perhaps, is the inaccuracy inherent in the engineering models (BLAST, DOE-2, etc.) commonly used to estimate building energy consumption, if these models are not first calibrated to site-monitored data. For example, prior estimates of base-wide savings from the Fort Polk ESPC were on the order of 40% of pre-retrofit electrical use; our analysis has shown the true savings for the entire project (which includes 16 separate electrical feeders) to be about 32%. It should be noted that the retrofits ca

  9. Evaluation of Steelhead Kelt Passage into the Bonneville Dam Second Powerhouse Corner Collector Prior to the Juvenile Migration Seasons, 2007 and 2008

    SciTech Connect (OSTI)

    Weiland, Mark A.; Kim, Jina; Nagy, William T.; Johnson, Gary E.

    2009-09-01T23:59:59.000Z

    This report documents the results of a steelhead kelt passage study conducted by the PNNL for the U.S. Army Corps of Engineers at Bonneville Dam in early spring 2007 and 2008. At the Second Powerhouse, a surface flow outlet called the corner collector (B2CC) may be an effective non-turbine passage route for steelhead kelt moving downstream in early spring before the main juvenile emigration season. The goal of this project was to inform management decisions regarding B2CC operations by estimating the number of kelt using the B2CC for downstream passage at Bonneville Dam prior to the juvenile spring migration season. We performed a hydroacoustic study from March 2 to April 10, 2007 and from March 13 to April 15, 2008.

  10. Low-risk and cost-effective prior savings estimates for large-scale energy conservation projects in housing: Learning from the Fort Polk GHP project

    SciTech Connect (OSTI)

    Shonder, J.A.; Hughes, P.J. [Oak Ridge National Lab., TN (United States); Thornton, J.W. [Thermal Energy Systems Specialists, Inc., Madison, WI (United States)

    1997-08-01T23:59:59.000Z

    Many opportunities exist for large-scale energy conservation projects in housing. Energy savings performance contracting (ESPC) is now receiving greater attention, as a means to implement such projects. This paper proposes an improved method for prior (to construction) savings estimates for these projects. The proposed approach to prior estimates is verified against data from Fort Polk, LA. In the course of evaluating the ESPC at Fort Polk, the authors have collected energy use data which allowed them to develop calibrated engineering models which accurately predict pre-retrofit energy consumption. They believe that such calibrated models could be used to provide much more accurate estimates of energy savings in retrofit projects. The improved savings estimating approach described here is based on an engineering model calibrated to field-collected data from the pre-retrofit period. A dynamic model of pre-retrofit energy use was developed for all housing and non-housing loads on a complete electrical feeder at Fort Polk. The model included the heat transfer characteristics of the buildings, the pre-retrofit air source heat pump, a hot water consumption model and a profile for electrical use by lights and other appliances. Energy consumption for all 200 apartments was totaled, and by adjusting thermostat setpoints and outdoor air infiltration parameters, the models were matched to field-collected energy consumption data for the entire feeder. The energy conservation measures were then implemented in the calibrated model: the air source heat pumps were replaced by geothermal heat pumps with desuperheaters; hot water loads were reduced to account for the low-flow shower heads; and lighting loads were reduced to account for fixture delamping and replacement with compact fluorescent lights. The analysis of pre- and post-retrofit data indicates that the retrofits have saved 30.3% of pre-retrofit electrical energy consumption on the feeder modeled in this paper.

  11. Overcoming the Recalcitrance of Cellulosic Biomass by Value Prior to Pulping: Cooperative Research and Development Final Report, CRADA Number CRD-07-221

    SciTech Connect (OSTI)

    Lowell, A.

    2012-04-01T23:59:59.000Z

    The Value Prior to Pulping (VPP) project goal was to demonstrate the technical and commercial feasibility of introducing a new value stream into existing pulp and paper mills. Essentially the intent was to transfer the energy content of extracted hemicellulose from electricity and steam generated in the recovery boiler to a liquid transportation fuel. The hemicellulose fraction was extracted prior to pulping, fractionated, or conditioned if necessary, and fermented to ethanol. Commercial adaptation of the process to wood hemicelluloses was a prerequisite for using this less currently valued component available from biomass and wood. These hemicelluloses are predominately glucurono-xylan in hardwoods and galactoglucomannan in softwoods (with a significant softwood component of an arabino-xylan) and will yield fermentation substrates different from cellulose. NREL provided its expertise in the area of fermentation host evaluation using its Zymomonas strains on the CleanTech Partner's (CTP) VPP project. The project was focused on the production of fuel ethanol and acetic acid from hemicellulose streams generated from wood chips of industrially important hardwood and softwood species. NREL was one of four partners whose ethanologen was tested on the hydrolyzed extracts. The use of commercially available enzymes to treat oligomeric sugar extracts was also investigated and coupled with fermentation. Fermentations by NREL were conducted with the Zymomonas mobilis organism with most of the work being performed with the 8b strain. The wood extracts hydrolyzed and/or fermented by NREL were those derived from maple, mixed southern hardwoods, and loblolly pine. An unhydrolyzed variant of the mixed southern hardwood extract possessed a large concentration of oligomeric sugars and enzymatic hydrolysis was performed with a number of enzymes, followed by fermentation. The fermentation of the wood extracts was carried out at bench scale in flasks or small bioreactors, with a maximum volume of 500 mL.

  12. COAL DESULFURIZATION PRIOR TO COMBUSTION

    E-Print Network [OSTI]

    Wrathall, J.

    2013-01-01T23:59:59.000Z

    Corporation, 5-25~79. on Coal Liquefaction at ChevronHamersma, et a L, "Meyers Process for Coal Desulfurization,"in Wheelock, Coal Desulfurization, ACS Symp. Ser 64 (1977(.

  13. Prior information for brain parcellation

    E-Print Network [OSTI]

    Pohl, Kilian Maria

    2005-01-01T23:59:59.000Z

    To better understand brain disease, many neuroscientists study anatomical differences between normal and diseased subjects. Frequently, they analyze medical images to locate brain structures influenced by disease. Many of ...

  14. Motion Integration Using Competitive Priors

    E-Print Network [OSTI]

    Wu, Shuang; Lu, Hongjing; Lee, Alan; Yuille, Alan

    2009-01-01T23:59:59.000Z

    observed in four human experiments. Introduction As anPsychophysical experiments show that humans are better atwith human performance in psychophysical experiments. Human

  15. Motion Integration Using Competitive Priors

    E-Print Network [OSTI]

    Shuang Wu; Hongjing Lu; Alan Lee; Alan Yuille

    2011-01-01T23:59:59.000Z

    observed in four human experiments. Introduction As anPsychophysical experiments show that humans are better atwith human performance in psychophysical experiments. Human

  16. Results from Prior NSF support

    E-Print Network [OSTI]

    2011-09-25T23:59:59.000Z

    So far most of projects in the proposal have been completed or ... the project description of previous NSF support unless otherwise stated. ..... in the end of [

  17. A Radiological Survey Approach to Use Prior to Decommissioning: Results from a Technology Scanning and Assessment Project Focused on the Chornobyl NPP

    SciTech Connect (OSTI)

    Milchikov, A.; Hund, G.; Davidko, M.

    1999-10-20T23:59:59.000Z

    The primary objectives of this project are to learn how to plan and execute the Technology Scanning and Assessment (TSA) approach by conducting a project and to be able to provide the approach as a capability to the Chernobyl Nuclear Power Plant (ChNPP) and potentially elsewhere. A secondary objective is to learn specifics about decommissioning and in particular about radiological surveying to be performed prior to decommissioning to help ChNPP decision makers. TSA is a multi-faceted capability that monitors and analyzes scientific, technical, regulatory, and business factors and trends for decision makers and company leaders. It is a management tool where information is systematically gathered, analyzed, and used in business planning and decision making. It helps managers by organizing the flow of critical information and provides managers with information they can act upon. The focus of this TSA project is on radiological surveying with the target being ChNPP's Unit 1. This reactor was stopped on November 30, 1996. At this time, Ukraine failed to have a regulatory basis to provide guidelines for nuclear site decommissioning. This situation has not changed as of today. A number of documents have been prepared to become a basis for a combined study of the ChNPP Unit 1 from the engineering and radiological perspectives. The results of such a study are expected to be used when a detailed decommissioning plan is created.

  18. Data Management, Inc. All Rights Reserved. This document is confidential and shall not be duplicated, published or disclosed, in whole or in part, without prior written permission of Data Management, Inc. This documentation is subject to change without n

    E-Print Network [OSTI]

    Zhuang, Yu

    © Data Management, Inc. All Rights Reserved. This document is confidential and shall Management, Inc. All Rights Reserved. This document is confidential and shall not be duplicated, published or disclosed, in whole or in part, without prior written permission of Data Management, Inc. This documentation

  19. Study Shows Active Power Controls from Wind May Increase Revenues...

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

    inertial control, primary frequency control, and automatic generation control. Inertial control is the immediate response to a power disturbance based on a frequency change. This...

  20. Single-Leg Airline Revenue Management With Overbooking

    E-Print Network [OSTI]

    2012-02-13T23:59:59.000Z

    natural to study the joint capacity allocation and overbooking problem which is, ...... are written in MATLAB 7.6.0 running under Windows XP operating system. .... to study the extensions of our proposed models in the network environment.

  1. Airline network seat inventory control : methodologies and revenue impacts

    E-Print Network [OSTI]

    Williamson, Elizabeth Louise

    1992-01-01T23:59:59.000Z

    In the airline industry, it is customary for carriers to offer a wide range of fares for any given seat in the same cabin on the same flight. In order to control the number of seats made available in each fare class, ...

  2. Arizona Department of Revenue Transaction Privilege Tax Exemption Certificate

    E-Print Network [OSTI]

    Wong, Pak Kin

    for extracting milk and for cooling milk and livestock. 15. Machinery, equipment or transmission lines used

  3. Mineral Recovery Creates Revenue Stream for Geothermal Energy...

    Energy Savers [EERE]

    to develop technologies that extract strategic materials from geothermal brines at a mining operation - a first-of-its-kind achievement. GTO support enabled the company to build...

  4. Properties of Electricity Prices and the Drivers of Interconnector Revenue

    E-Print Network [OSTI]

    Parail, Vladimir

    of generation technology and the relationship between the prices of alternative fuels are other such factors. If coal becomes prohibitively expensive relative to gas and it is possible to satisfy all demand using gas fired generation, above a certain price... threshold, the relationship between the price of electricity and the price of coal would be non- existent. However, if there is no spare capacity in the system, expensive coal would always be the marginal generation technology. In that case, coal...

  5. Chapter 13 - Reimbursable work, Revenues and Other Collections

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

    12); (l) Unclaimed moneys (see paragraph 13); (m) Repayments from projects under the Clean Coal Technology (CCT) Program and Clean Coal Power Initiative (see paragraph 14); (n)...

  6. Incorporating sell-up in airline revenue management

    E-Print Network [OSTI]

    Charania Aamer

    1998-01-01T23:59:59.000Z

    The decision to buy a fare that is higher than the desired fare, under the situation when the desired fare is not available, is known as sell-up. Passengers' willingness to sellup can have considerable impact on airline ...

  7. Revenue Maximization Using Adaptive Resource Provisioning in Cloud Computing Environments

    E-Print Network [OSTI]

    Buyya, Rajkumar

    . For example, Amazon EC2 offers three types of compute services (i.e., on-demand, spot and reserved

  8. Marine Hybrid Propulsion Market Revenue is anticipated to Reach...

    Open Energy Info (EERE)

    In terms of configuration, the market has been segmented into three categories as diesel-electric, parallel, and serial hybrid systems. Diesel-electric systems are the most...

  9. The Revenue Effects of Cigarette Taxation in West Virginia

    E-Print Network [OSTI]

    Mohaghegh, Shahab

    , such as the expansion of Medicaid coverage under the federal health care reform. Given that almost all states face health and externality rationales for cigarette taxation. It is also important to consider the policy

  10. Accessing Creative Revenue Sources for Energy Efficiency Webinar...

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

    1:00PM to 2:00PM EDT The Yale Clean Energy Finance Forum (CEFF) & the Council of Development Finance Agencies (CDFA) have partnered for a webinar series that focuses on...

  11. Adaptive robust optimization with applications in inventory and revenue management

    E-Print Network [OSTI]

    Iancu, Dan Andrei

    2010-01-01T23:59:59.000Z

    In this thesis, we examine a recent paradigm for solving dynamic optimization problems under uncertainty, whereby one considers decisions that depend directly on the sequence of observed disturbances. The resulting policies, ...

  12. ENVIRONMENTAL REVENUE STREAMS FOR COMBINED HEAT AND POWER | Department of

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny:RevisedAdvisory Board Contributions EMEM STAR CertifiedRed Lion Hotel

  13. Balance of revenue and social welfare in FCC's spectrum allocation

    E-Print Network [OSTI]

    Huang, Jianwei

    ]. To provide more resources for support- ing these services, the Federal Communications Commission (FCC services, the Federal Communications Com- mission (FCC) in the U.S. is considering allocating additional (PCAST) of the U.S. [3], further proposed to identify 1,000 MHz of Federal spectrum for shared-use among

  14. Electric Sales, Revenue, and Average Price 2011 - Energy Information

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOEThe Bonneville Power AdministrationField Campaign:INEAWater Use Goal 4:Administration Electric

  15. Electric Utility Sales and Revenue - EIA-826 detailed data file

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOEThe Bonneville Power AdministrationField Campaign:INEAWater Use Goal 4:Administration826 detailed data The

  16. Power Net Revenue Improvement Sounding Board (aboutpbl/financial)

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

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

  17. World Bank Good Practice Guidelines: Financial Analysis of Revenue

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTriWildcat 1 Wind Project JumpWisconsin:World Agroforestry Centre Jump

  18. World Bank Good Practice Guidelines: Financial Analysis of Revenue

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTriWildcat 1 Wind Project JumpWisconsin:World Agroforestry Centre

  19. 4-County Electric Power Assn (Mississippi) EIA Revenue and Sales -

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTriWildcat 1 Windthe Commission | OpenDevelopment GuideMexico ||

  20. ALLETE, Inc. (Minnesota) EIA Revenue and Sales - December 2008 | Open

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTriWildcat 1 WindtheEnergySulfonate asAEEOpenOpenALDEnergy Information

  1. ALLETE, Inc. (Minnesota) EIA Revenue and Sales - February 2008 | Open

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTriWildcat 1 WindtheEnergySulfonate asAEEOpenOpenALDEnergy Information

  2. ALLETE, Inc. (Minnesota) EIA Revenue and Sales - February 2009 | Open

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTriWildcat 1 WindtheEnergySulfonate asAEEOpenOpenALDEnergy

  3. ALLETE, Inc. (Minnesota) EIA Revenue and Sales - November 2008 | Open

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTriWildcat 1 WindtheEnergySulfonateInformationEnergy Information

  4. ALLETE, Inc. (Minnesota) EIA Revenue and Sales - September 2008 | Open

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTriWildcat 1 WindtheEnergySulfonateInformationEnergyEnergy

  5. Accessing Creative Revenue Sources for Energy Efficiency Webinar |

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page onYouTube YouTube Note: Since the YouTube platform is alwaysISO 50001 Energy ManagementPatriciaUCNI Access to UCNI

  6. Mineral Recovery Creates Revenue Stream for Geothermal Energy Development |

    Energy Savers [EERE]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directed offOCHCO2:Introduction toManagement of the National 93-4 AcquisitionODepartment of Energy

  7. Fact #619: April 19, 2010 Transportation Sector Revenue by Industry |

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't YourTransport in RepresentativeDepartment of EnergyEnergy 5: March 22, 2010Statistics

  8. Office of Natural Resources Revenue | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, searchOfRoseConcerns Jumpsource HistoryFracturesOceano,

  9. FY 2002 Generation Audited Accumulated Net Revenues, February 10, 2003

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOEThe Bonneville Power AdministrationField8,Dist. Category UC-lFederalFY 2008 FOIA - Request1 02/10/03 February

  10. FY 2003 Generation Audited Accumlated Net Revenues, March 2004

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOEThe Bonneville Power AdministrationField8,Dist. Category UC-lFederalFY 2008 FOIA - Request1 02/10/03

  11. Unique Fee-for-Service Revenues | Department of Energy

    Energy Savers [EERE]

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

  12. Marine Hybrid Propulsion Market Revenue is anticipated to Reach USD

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, searchOfRose Bend < MHKconvertersourcesource HistoryMariani

  13. Anchorage Municipal Light and Power (Alaska) EIA Revenue and Sales -

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTriWildcat Place:Alvan BlanchAmiteInExplorationDuring AndDecember 2008 |

  14. Anchorage Municipal Light and Power (Alaska) EIA Revenue and Sales -

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTriWildcat Place:Alvan BlanchAmiteInExplorationDuring AndDecember 2008

  15. Anchorage Municipal Light and Power (Alaska) EIA Revenue and Sales -

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTriWildcat Place:Alvan BlanchAmiteInExplorationDuring AndDecember

  16. Anchorage Municipal Light and Power (Alaska) EIA Revenue and Sales -

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTriWildcat Place:Alvan BlanchAmiteInExplorationDuring AndDecemberJanuary

  17. Anchorage Municipal Light and Power (Alaska) EIA Revenue and Sales -

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTriWildcat Place:Alvan BlanchAmiteInExplorationDuring

  18. Anchorage Municipal Light and Power (Alaska) EIA Revenue and Sales -

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTriWildcat Place:Alvan BlanchAmiteInExplorationDuringNovember 2008 | Open

  19. Anchorage Municipal Light and Power (Alaska) EIA Revenue and Sales -

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTriWildcat Place:Alvan BlanchAmiteInExplorationDuringNovember 2008 |

  20. Anchorage Municipal Light and Power (Alaska) EIA Revenue and Sales -

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTriWildcat Place:Alvan BlanchAmiteInExplorationDuringNovember 2008

  1. Anoka Electric Coop (Minnesota) EIA Revenue and Sales - December 2008 |

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTriWildcat Place:Alvan2809328°,AnfuNorth,Open Energy Information Date

  2. Anoka Electric Coop (Minnesota) EIA Revenue and Sales - February 2008 |

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTriWildcat Place:Alvan2809328°,AnfuNorth,Open Energy Information

  3. Anoka Electric Coop (Minnesota) EIA Revenue and Sales - February 2009 |

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTriWildcat Place:Alvan2809328°,AnfuNorth,Open Energy InformationOpen

  4. Analysis of the approximations applied in the continuum-distorted-wave-eikonal-initial-state theory for the evaluation of ionization cross sections: Post-prior discrepancy, axial symmetry, and ion-ion interaction

    SciTech Connect (OSTI)

    Lopez, S. D.; Garibotti, C. R. [CONICET and Centro Atomico Bariloche, 8400 S.C. de Bariloche (Argentina); Fiori, M. [Departamento de Fisica, Universidad Nacional de Salta, 4400 Salta (Argentina)

    2011-03-15T23:59:59.000Z

    When the continuum distorted wave with eikonal initial state (CDW-EIS) [D. S. Crothers and J. F. McCann, J. Phys B 16, 3229 (1983)] theory is applied to the evaluation of ionization cross sections, many additional approximations are assumed. However, usually, the influence of these approximations is not clear. Aiming to estimate them, we compare the differential and total cross sections obtained with diverse approximations for ionization of He atoms by proton impact. We analyze the post-prior discrepancy, which depends on the perturbative Hamiltonian applied in the scattering amplitude. We study the dependence of the cross sections on the description of the initial and final states. For this purpose, we use the 1Z and 5Z variational and numerical Optimized Potential Model (OPM) [J. D. Talman, Comput. Phys. Commun. 54, 85 (1989)] bound states for the initial target state, and for the final target state we set Coulomb waves with proper effective charges or the continuum state of an OPM potential model. The cross sections resulting from OPM post and prior versions are identical and show excellent agreement with experimental data in each case. Nevertheless, the cross section derived by the prior CDW-EIS, 5Z initial wave, and corresponding continuum state gives comparable results, requiring shorter computational work. Then we study the determination of the impact parameter ionization probability from the transition amplitudes, also including an axial symmetry for the ionization process. The hypothesis of this axial symmetry saves an angular integration in the evaluation of the probabilities. We analyze the variation of these probabilities within the post and prior formalisms and mention initial and final states, according to the supposed symmetry. We found that the probabilities derived with the axial symmetry concentrate at a lower impact parameter than the usual ones and are quite sensitive to the approximations used for the CDW-EIS evaluation. Furthermore, these probabilities underestimate distant collisions. In the last section we introduce the projectile-residual ion potential, and we discuss the effect of the diverse approximations on the dependence of the cross section as a function of the projectile scattering angle. We compare the projectile angular distribution resulting from a full Coulomb interaction between the ions with the one obtained by a screened potential, but in the latter case the theoretical distributions underestimate the experimental data. The OPM and 5Z functions give a good description of the experimental data.

  5. Microsoft PowerPoint - Public Information Forum Presentation...

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

    2013, 2014 and 2015 IS rates in place prior to joining SPP when calculating the rates. * True-up will only include Western-UGP's portion of IS revenue requirement. 11192014 17...

  6. Re-Regulating the Mexican Gulf

    E-Print Network [OSTI]

    Zalik, Anna

    2006-01-01T23:59:59.000Z

    the oil industry in Mexico and Nigeria. The Laguna deStandard Oil’s small concessions in 1937, prior to Mexico,oil industry still accounts for one-third of Mexican government revenues and Mexico’

  7. Nonparametric Bayesian Policy Priors for Reinforcement Learning

    E-Print Network [OSTI]

    Doshi-Velez, Finale P.

    We consider reinforcement learning in partially observable domains where the agent can query an expert for

  8. Prior Year Accomplishments Can Opener Project

    SciTech Connect (OSTI)

    Speer, C.H.

    1999-09-30T23:59:59.000Z

    This report documents the work preformed on the project for Quality Evaluation Organization (QEO) from October 1998 through September 1999. Welded metal cans are used to store many components in the Y-12 Plant. The current process for opening these cans is to cut off the weld with hand operated nippers or shears. This causes excessive lid destruction and it also produces a rough and uneven edge that is difficult to reweld. (See Sketch 1) QEO personnel expressed a need for a better solution to these problems. Finding a better ''can opener'' that is quick and easy to use, reduces lid destruction, and produces a surface that enhances rewelding was the objective of this work.

  9. BACKGROUND ON FINAL DISTRIBUTED PRIOR TO EXAM

    E-Print Network [OSTI]

    Owner

    2013-01-15T23:59:59.000Z

    For example, McReynolds Moment Matchers is hired to complete one of the problems. (Guess what this problem is about.) All in all, as you take the test, you will ...

  10. 2012-2013 CLINICAL CURRICULUM (B) = Bundled. Clinic and class are automatically added and dropped together. Pre-requisite: Class must be taken prior to clinic. (S) = Separate. Clinic and class enrollment are separate and independent from one another. No p

    E-Print Network [OSTI]

    2012-2013 CLINICAL CURRICULUM (B) = Bundled. Clinic and class are automatically added and dropped together. Pre-requisite: Class must be taken prior to clinic. (S) = Separate. Clinic and class enrollment are separate and independent from one another. No priority for clinic students. Co-requisite: Class must

  11. I know that many of you are concerned about the state's budget situation and its possible impact at WCU. I have not sent formal information to the campus regarding the budget prior to this because we really do not know what next year's budget will

    E-Print Network [OSTI]

    Holliday, Mark A.

    I know that many of you are concerned about the state's budget situation and its possible impact at WCU. I have not sent formal information to the campus regarding the budget prior to this because we really do not know what next year's budget will look like. Right now there are just too many unknowns

  12. FIGURE 1.16 Growth in processor performance since the mid-1980s. This chart plots performance relative to the VAX 11/780 as measured by the SPECint benchmarks (see Section 1.8). Prior to the mid-1980s, processor performance growth was largely technology-

    E-Print Network [OSTI]

    Gousie, Michael B.

    relative to the VAX 11/780 as measured by the SPECint benchmarks (see Section 1.8). Prior to the mid-1980s 20% per year. Copyright © 2009 Elsevier, Inc. All rights reserved. Performance(vs.VAX-11/780) 10 13MIPS M/120 9Sun-4/260 5 VAX 8700 1.5, VAX-11/785 25%/year 52%/year 20% VAX-11/780 #12;

  13. Better Buildings Residential Network Financing and Revenue Peer Exchange Call: Revenues from Employee Benefit Programs Call Slides and Summary, July 25, 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny: The FutureCommentsEnergy Christopher|for1,23, 2013 Better BuildingsJuly 25,

  14. University of Newcastle upon Tyne Optimizing revenue: Service Provisioning Systems with QoS Contracts

    E-Print Network [OSTI]

    Newcastle upon Tyne, University of

    a distributed computer system containing many processors, subject to Quality of Service contracts. Services of Service contracts. Services of different types are offered, with different charges for running jobs

  15. Maximization of revenues for power sales from a solid waste resources recovery facility

    SciTech Connect (OSTI)

    Not Available

    1991-12-01T23:59:59.000Z

    The report discusses the actual implementation of the best alternative in selling electrical power generated by an existing waste-to-energy facility, the Metro-Dade County Resources Recovery Plant. After the plant processes and extracts various products out of the municipal solid waste, it burns it to produce electrical power. The price for buying power to satisfy the internal needs of our Resources Recovery Facility (RRF) is substantially higher than the power price for selling electricity to any other entity. Therefore, without any further analysis, it was decided to first satisfy those internal needs and then export the excess power. Various alternatives were thoroughly explored as to what to do with the excess power. Selling power to the power utilities or utilizing the power in other facilities were the primary options.

  16. The Politics of Revenue-Raising Tax Reform in Latin America

    E-Print Network [OSTI]

    Fairfield, Tasha

    2010-01-01T23:59:59.000Z

    since inputs such as agrochemicals and crop services wouldincluding machinery and agrochemicals (author’s interviews:

  17. Using Revenue Management to Determine Pricing of Reservations Anthony Sulistio1

    E-Print Network [OSTI]

    Buyya, Rajkumar

    of RM is to periodically update the prices in response to market demands, by charging different fares Introduction Grid [7] and peer-to-peer (P2P) [19] network technolo- gies enable the aggregation of distributed demand and supply of resources, and calculates pricing policies based on these criteria

  18. The Politics of Revenue-Raising Tax Reform in Latin America

    E-Print Network [OSTI]

    Fairfield, Tasha

    2010-01-01T23:59:59.000Z

    no renovable de los minerales, ante un eventual agotamientode ingresos de estos recursos minerales. 24 According to the

  19. Maximising Revenue in the Airline Industry Under One-Way Pricing

    E-Print Network [OSTI]

    2003-10-08T23:59:59.000Z

    frequently, the company must spend more money informing its customers of the changes and risks upsetting customers who may expect prices to be reasonably

  20. Point to Point and Flow-based Financial Transmission Rights: Revenue Adequacy and Performance Incen-

    E-Print Network [OSTI]

    Oren, Shmuel S.

    in electricity markets with locational marginal pricing (LMP) explaining the mechanics and fundamental for such in- struments are either Locational Marginal Prices (LMP) or shadow prices on transmission flowgates. e-mail: oren@ieor.berkeley.edu #12;2 pay, the nodal price difference between designated locations

  1. Sixth Northwest Conservation and Electric Power Plan Appendix O: Calculation of Revenue

    E-Print Network [OSTI]

    system. The future system costs consist of the capital cost of the new resources and the non-capital c ...................................................... 1 Estimating Existing Power System Cost: ................................................................................... 2 Estimating Future Power System Cost

  2. Reservation Policies for Revenue Maximization from Secondary Spectrum Access in Cellular Networks

    E-Print Network [OSTI]

    Starobinski, David

    of network users who pay the license holder pre-defined fixed prices for unit time of use of the network the framework of dynamic programming to define a decision policy for pricing and/or admis- sion control based on user type and the state of the network [5, 6, 7, 8]. However, the choice of fixed prices in this work

  3. Matching of lowest fare seat availability in airline revenue management systems

    E-Print Network [OSTI]

    Lua, Wenyi Fabian

    2007-01-01T23:59:59.000Z

    By enabling passengers to compare easily and book directly from airline inventories, Internetbased ticket distribution has forced airlines to compete for the lowest price level and more importantly, to ensure seat availability ...

  4. Debate response: Which rate designs provide revenue stability and efficient price signals? Let the debate continue.

    SciTech Connect (OSTI)

    Boonin, David Magnus

    2009-11-15T23:59:59.000Z

    Let's engage in further discussion that provides solutions and details, not just criticisms and assertions. Let's engage in a meaningful dialogue about the conditions where real-time pricing or critical peak pricing with decoupling or the SFV rate design with a feebate is most effective. (author)

  5. Carbon Tax Revenue and the Budget Deficit: A Win-Win-Win Solution?

    E-Print Network [OSTI]

    established research centers at MIT: the Center for Global Change Science (CGCS) and the Center for Energy is an organization for research, independent policy analysis, and public education in global environmental change and Environmental Policy Research (CEEPR). These two centers bridge many key areas of the needed intellectual work

  6. Generating Revenue for Generating Green Electricity: Evidence from Laboratory Experiments on

    E-Print Network [OSTI]

    Edwards, Paul N.

    commonly employed in green electricity programs: the voluntary contribution mechanism, the green tariff mechanism, and the all-or- nothing green tariff mechanism. [These mechanisms will be described momentarily the voluntary contribution mechanism (VCM), the green tariff mechanism (GTM), and the all-or-nothing green

  7. Mitigating cotton revenue risk through irrigation, insurance, and/or hedging

    E-Print Network [OSTI]

    Bise, Elizabeth Hart

    2009-05-15T23:59:59.000Z

    in the Lower Rio Grande Valley...................................................................................................56 12 Budget of a 1,000 Acre Representative Cotton Farm in the Lower Rio Grande Valley (TCE 2006 and AFPC 2006... used and are based on expected utility frameworks or stochastic dominance. Traditionally, agricultural economists tend to look at yield risk and price risk separately (TCE 2006). In the present study, the interactions of three strategies that can...

  8. since it meant convincing revenue generators. Risk was great as the stakes were high.

    E-Print Network [OSTI]

    Mottram, Nigel

    (WBLA) as well as complete the preparation and planning module for post graduate study. The assessments financial benefit reaped due to good repute in the community. Today, TCS has a comprehensive policy across of current policies and practices in our organisation. A Project Success Story by Safinaz Adnan Advanced

  9. Assessing low-fare entry in airline markets : impacts of revenue management and network flows

    E-Print Network [OSTI]

    Gorin, Thomas O. (Thomas Olivier), 1976-

    2004-01-01T23:59:59.000Z

    (cont.) the essential factors affecting traditional measures of airline performance following low-fare entry. Our simulation results show that these measures are greatly affected by the entrant's capacity relative to the ...

  10. Tight Revenue Bounds with Possibilistic Beliefs and Level-k Rationality

    E-Print Network [OSTI]

    Goldwasser, Shafi

    The authors thank Shafi Goldwasser, Aviad Heifetz, Andrew Lo, Ron Rivest, several anonymous reviewers

  11. Supplement to "Tight Revenue Bounds with Possibilistic Beliefs and Level-k Rationality"

    E-Print Network [OSTI]

    Goldwasser, Shafi

    Goldwasser, Aviad Heifetz, Andrew Lo, Ron Rivest, several anonymous reviewers and the editor of Econometrica

  12. Pricing and incentive design in applications of green technology subsidies and revenue management

    E-Print Network [OSTI]

    Lobel, Ruben

    2012-01-01T23:59:59.000Z

    This thesis addresses three issues faced by firms and policy-makers when deciding how to price products and properly incentivize consumers. In the first part of the thesis, we focus on a firm attempting to dynamically ...

  13. Optimal Allocation of Inventory and Demand for Managing Supply Chain Revenues

    E-Print Network [OSTI]

    Katariya, Abhilasha

    2013-11-27T23:59:59.000Z

    and liquidation de- cisions for a supplier who satisfies demand from a contractual and a spot market. The second problem extends this to investigate a supplier’s joint replenishment, allocation and pricing decisions under two markets. The third problem...

  14. Strategic Industrial Energy Efficiency: Reduce Expenses, Build Revenues, and Control Risk

    E-Print Network [OSTI]

    Russell, C.

    2004-01-01T23:59:59.000Z

    Some manufacturing companies successfully boost their financial performance through optimized energy use. This leads not only to reduced energy consumption and associated environmental benefits, but also to capacity improvements that generate...

  15. Tax Revenue and Job Benefits from Solar Thermal Power Plants in Nye County

    SciTech Connect (OSTI)

    Kuver, Walt

    2009-11-10T23:59:59.000Z

    The objective of this report is to establish a common understanding of the financial benefits that the County will receive as solar thermal power plants are developed in Amargosa Valley. Portions of the tax data and job estimates in the report were provided by developers Solar Millennium and Abengoa Solar in support of the effort. It is hoped that the resulting presented data will be accepted as factual reference points for the ensuing debates and financial decisions concerning these development projects.

  16. The Politics of Revenue-Raising Tax Reform in Latin America

    E-Print Network [OSTI]

    Fairfield, Tasha

    2010-01-01T23:59:59.000Z

    2005. Zaldívar, Andrés. Former PDC Senator, former presidentMarch 18, 2007. Ruiz-Esquide, Mariano. PDC senator. Dec. 21,2005. Sabag, Hosain. PDC senator. Jan. 3, 2006. Sanfuentes,

  17. Peer Exchange Call on Financing and Revenue: Bond Funding | Department of

    Energy Savers [EERE]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directed offOCHCO2:Introduction toManagementOPAM5Parabolic Trough Parabolic Trough

  18. Better Buildings Neighborhood Program Sustainability Peer Exchange Call: Revenue from Contractor Fees, November 1, 2012

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny: The FutureCommentsEnergy Christopher|for1, 20114, 2013 Better1, 20136, 20121,

  19. Strategic Industrial Energy Efficiency: Reduce Expenses, Build Revenues, and Control Risk 

    E-Print Network [OSTI]

    Russell, C.

    2004-01-01T23:59:59.000Z

    Some manufacturing companies successfully boost their financial performance through optimized energy use. This leads not only to reduced energy consumption and associated environmental benefits, but also to capacity improvements that generate...

  20. The Politics of Revenue-Raising Tax Reform in Latin America

    E-Print Network [OSTI]

    Fairfield, Tasha

    2010-01-01T23:59:59.000Z

    of Public Policy in Argentina. New York: Cambridgein tax policy outcomes between Argentina and Chile. Into the second policy area, both Argentina and Bolivia

  1. The Politics of Revenue-Raising Tax Reform in Latin America

    E-Print Network [OSTI]

    Fairfield, Tasha

    2010-01-01T23:59:59.000Z

    1997-2004. ” La Paz, Bolivia. Business Association DocumentsDiputados. ” Santa Cruz, Bolivia. CChC. 2004. “Royalty a laBolivia. La Razón, La Paz, Bolivia. Accessed in Bibioletca

  2. Flash2007-33RevenueTierDiscounts.rtf | Department of Energy

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

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

  3. Central Illinois Pub Serv Co (Illinois) EIA Revenue and Sales - April 2008

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand JumpConceptual Model, click here.Telluric Survey asWest, NewCenterville, Ohio:Ferry Lower| Open Energy

  4. Central Illinois Pub Serv Co (Illinois) EIA Revenue and Sales - December

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand JumpConceptual Model, click here.Telluric Survey asWest, NewCenterville, Ohio:Ferry Lower| Open

  5. Central Illinois Pub Serv Co (Illinois) EIA Revenue and Sales - February

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand JumpConceptual Model, click here.Telluric Survey asWest, NewCenterville, Ohio:Ferry Lower| Open2008 |

  6. Central Illinois Pub Serv Co (Illinois) EIA Revenue and Sales - February

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand JumpConceptual Model, click here.Telluric Survey asWest, NewCenterville, Ohio:Ferry Lower| Open2008

  7. Central Illinois Pub Serv Co (Illinois) EIA Revenue and Sales - January

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand JumpConceptual Model, click here.Telluric Survey asWest, NewCenterville, Ohio:Ferry Lower|

  8. Central Illinois Pub Serv Co (Illinois) EIA Revenue and Sales - January

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand JumpConceptual Model, click here.Telluric Survey asWest, NewCenterville, Ohio:Ferry Lower|2009 | Open

  9. Central Illinois Pub Serv Co (Illinois) EIA Revenue and Sales - June 2008 |

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand JumpConceptual Model, click here.Telluric Survey asWest, NewCenterville, Ohio:Ferry Lower|2009 |

  10. Central Illinois Pub Serv Co (Illinois) EIA Revenue and Sales - March 2008

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand JumpConceptual Model, click here.Telluric Survey asWest, NewCenterville, Ohio:Ferry Lower|2009 || Open

  11. Central Illinois Pub Serv Co (Illinois) EIA Revenue and Sales - May 2008 |

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand JumpConceptual Model, click here.Telluric Survey asWest, NewCenterville, Ohio:Ferry Lower|2009 ||

  12. Central Illinois Pub Serv Co (Illinois) EIA Revenue and Sales - November

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand JumpConceptual Model, click here.Telluric Survey asWest, NewCenterville, Ohio:Ferry Lower|2009 ||2008

  13. Central Illinois Pub Serv Co (Illinois) EIA Revenue and Sales - October

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand JumpConceptual Model, click here.Telluric Survey asWest, NewCenterville, Ohio:Ferry Lower|2009

  14. Central Illinois Pub Serv Co (Illinois) EIA Revenue and Sales - September

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand JumpConceptual Model, click here.Telluric Survey asWest, NewCenterville, Ohio:Ferry Lower|20092008 |

  15. City of Detroit (Michigan) EIA Revenue and Sales - April 2008 | Open Energy

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand JumpConceptual Model, click here.TelluricPowerCity of Aplington,City ofCityCity ofCityInformation

  16. City of Detroit (Michigan) EIA Revenue and Sales - August 2008 | Open

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand JumpConceptual Model, click here.TelluricPowerCity of Aplington,City ofCityCity

  17. City of Detroit (Michigan) EIA Revenue and Sales - December 2008 | Open

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand JumpConceptual Model, click here.TelluricPowerCity of Aplington,City ofCityCityEnergy Information

  18. City of Detroit (Michigan) EIA Revenue and Sales - February 2008 | Open

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand JumpConceptual Model, click here.TelluricPowerCity of Aplington,City ofCityCityEnergy

  19. City of Detroit (Michigan) EIA Revenue and Sales - February 2009 | Open

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand JumpConceptual Model, click here.TelluricPowerCity of Aplington,City ofCityCityEnergyEnergy

  20. Study Shows Active Power Controls from Wind May Increase Revenues and

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33Frequently AskedEnergyIssues DOE's NuclearSpurringSteamDepartment of Energy|Department

  1. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocks Nov-14Total DeliveredPrincipal shale gas:1 TableAlabama"

  2. Table 8. Retail sales, revenue, and average retail price by sector, 1990 through 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocks Nov-14Total DeliveredPrincipal shale gas:1

  3. 4-County Electric Power Assn (Mississippi) EIA Revenue and Sales - April

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTriWildcat 1 Windthe Commission | OpenDevelopment GuideMexico ||2008 | Open

  4. 4-County Electric Power Assn (Mississippi) EIA Revenue and Sales - August

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTriWildcat 1 Windthe Commission | OpenDevelopment GuideMexico ||2008 |

  5. 4-County Electric Power Assn (Mississippi) EIA Revenue and Sales - December

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTriWildcat 1 Windthe Commission | OpenDevelopment GuideMexico ||2008 |2008

  6. 4-County Electric Power Assn (Mississippi) EIA Revenue and Sales - February

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTriWildcat 1 Windthe Commission | OpenDevelopment GuideMexico ||2008

  7. 4-County Electric Power Assn (Mississippi) EIA Revenue and Sales - February

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTriWildcat 1 Windthe Commission | OpenDevelopment GuideMexico ||20082009 |

  8. 4-County Electric Power Assn (Mississippi) EIA Revenue and Sales - January

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTriWildcat 1 Windthe Commission | OpenDevelopment GuideMexico ||20082009

  9. 4-County Electric Power Assn (Mississippi) EIA Revenue and Sales - January

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTriWildcat 1 Windthe Commission | OpenDevelopment GuideMexico

  10. 4-County Electric Power Assn (Mississippi) EIA Revenue and Sales - July

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTriWildcat 1 Windthe Commission | OpenDevelopment GuideMexico2008 | Open

  11. 4-County Electric Power Assn (Mississippi) EIA Revenue and Sales - June

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTriWildcat 1 Windthe Commission | OpenDevelopment GuideMexico2008 |

  12. 4-County Electric Power Assn (Mississippi) EIA Revenue and Sales - March

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTriWildcat 1 Windthe Commission | OpenDevelopment GuideMexico2008 |2008 |

  13. 4-County Electric Power Assn (Mississippi) EIA Revenue and Sales - March

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTriWildcat 1 Windthe Commission | OpenDevelopment GuideMexico2008 |2008

  14. 4-County Electric Power Assn (Mississippi) EIA Revenue and Sales - May 2008

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTriWildcat 1 Windthe Commission | OpenDevelopment GuideMexico2008 |2008|

  15. 4-County Electric Power Assn (Mississippi) EIA Revenue and Sales - November

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTriWildcat 1 Windthe Commission | OpenDevelopment GuideMexico2008

  16. 4-County Electric Power Assn (Mississippi) EIA Revenue and Sales - October

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTriWildcat 1 Windthe Commission | OpenDevelopment GuideMexico20082008 |

  17. A & N Electric Coop (Maryland) EIA Revenue and Sales - April 2008 | Open

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTriWildcat 1 Windthe Commission |InformationGamesa Solar JumpEnergy

  18. A & N Electric Coop (Maryland) EIA Revenue and Sales - August 2008 | Open

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTriWildcat 1 Windthe Commission |InformationGamesa Solar

  19. A & N Electric Coop (Maryland) EIA Revenue and Sales - December 2008 | Open

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTriWildcat 1 Windthe Commission |InformationGamesa SolarEnergy

  20. A & N Electric Coop (Maryland) EIA Revenue and Sales - February 2008 | Open

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTriWildcat 1 Windthe Commission |InformationGamesa SolarEnergyEnergy

  1. A & N Electric Coop (Maryland) EIA Revenue and Sales - February 2009 | Open

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTriWildcat 1 Windthe Commission |InformationGamesa

  2. A & N Electric Coop (Maryland) EIA Revenue and Sales - January 2008 | Open

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTriWildcat 1 Windthe Commission |InformationGamesaEnergy

  3. A & N Electric Coop (Maryland) EIA Revenue and Sales - January 2009 | Open

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTriWildcat 1 Windthe Commission |InformationGamesaEnergyEnergy

  4. A & N Electric Coop (Maryland) EIA Revenue and Sales - July 2008 | Open

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTriWildcat 1 Windthe Commission |InformationGamesaEnergyEnergyEnergy

  5. A & N Electric Coop (Maryland) EIA Revenue and Sales - June 2008 | Open

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTriWildcat 1 Windthe Commission

  6. A & N Electric Coop (Maryland) EIA Revenue and Sales - March 2008 | Open

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTriWildcat 1 Windthe CommissionEnergy Information Coop (Maryland) Place

  7. A & N Electric Coop (Maryland) EIA Revenue and Sales - March 2009 | Open

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTriWildcat 1 Windthe CommissionEnergy Information Coop (Maryland)

  8. A & N Electric Coop (Maryland) EIA Revenue and Sales - May 2008 | Open

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTriWildcat 1 Windthe CommissionEnergy Information Coop (Maryland)Energy

  9. A & N Electric Coop (Maryland) EIA Revenue and Sales - November 2008 | Open

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTriWildcat 1 Windthe CommissionEnergy Information Coop

  10. A & N Electric Coop (Maryland) EIA Revenue and Sales - October 2008 | Open

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTriWildcat 1 Windthe CommissionEnergy Information CoopEnergy

  11. A & N Electric Coop (Maryland) EIA Revenue and Sales - September 2008 |

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTriWildcat 1 Windthe CommissionEnergy Information CoopEnergyOpen Energy

  12. A & N Electric Coop (Virginia) EIA Revenue and Sales - April 2008 | Open

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTriWildcat 1 Windthe CommissionEnergy Information CoopEnergyOpen

  13. A & N Electric Coop (Virginia) EIA Revenue and Sales - August 2008 | Open

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTriWildcat 1 Windthe CommissionEnergy Information CoopEnergyOpenEnergy

  14. A & N Electric Coop (Virginia) EIA Revenue and Sales - December 2008 | Open

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTriWildcat 1 Windthe CommissionEnergy Information

  15. A & N Electric Coop (Virginia) EIA Revenue and Sales - February 2008 | Open

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTriWildcat 1 Windthe CommissionEnergy InformationEnergy Information

  16. A & N Electric Coop (Virginia) EIA Revenue and Sales - February 2009 | Open

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTriWildcat 1 Windthe CommissionEnergy InformationEnergy

  17. A & N Electric Coop (Virginia) EIA Revenue and Sales - January 2008 | Open

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTriWildcat 1 Windthe CommissionEnergy InformationEnergyEnergy

  18. A & N Electric Coop (Virginia) EIA Revenue and Sales - January 2009 | Open

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTriWildcat 1 Windthe CommissionEnergy InformationEnergyEnergyEnergy

  19. A & N Electric Coop (Virginia) EIA Revenue and Sales - July 2008 | Open

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTriWildcat 1 Windthe CommissionEnergy

  20. A & N Electric Coop (Virginia) EIA Revenue and Sales - June 2008 | Open

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTriWildcat 1 Windthe CommissionEnergyEnergy Information Start Date

  1. A & N Electric Coop (Virginia) EIA Revenue and Sales - March 2008 | Open

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTriWildcat 1 Windthe CommissionEnergyEnergy Information Start

  2. A & N Electric Coop (Virginia) EIA Revenue and Sales - March 2009 | Open

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTriWildcat 1 Windthe CommissionEnergyEnergy Information StartEnergy

  3. A & N Electric Coop (Virginia) EIA Revenue and Sales - May 2008 | Open

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTriWildcat 1 Windthe CommissionEnergyEnergy Information

  4. A & N Electric Coop (Virginia) EIA Revenue and Sales - November 2008 | Open

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTriWildcat 1 Windthe CommissionEnergyEnergy InformationEnergy

  5. A & N Electric Coop (Virginia) EIA Revenue and Sales - October 2008 | Open

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTriWildcat 1 Windthe CommissionEnergyEnergy InformationEnergyEnergy

  6. A & N Electric Coop (Virginia) EIA Revenue and Sales - September 2008 |

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTriWildcat 1 Windthe CommissionEnergyEnergy InformationEnergyEnergyOpen

  7. AGC Division of APG Inc (Indiana) EIA Revenue and Sales - April 2008 | Open

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTriWildcat 1 WindtheEnergySulfonate asAEE Solaridentification,3Energy

  8. AGC Division of APG Inc (Indiana) EIA Revenue and Sales - August 2008 |

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTriWildcat 1 WindtheEnergySulfonate asAEE Solaridentification,3EnergyOpen

  9. AGC Division of APG Inc (Indiana) EIA Revenue and Sales - December 2008 |

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTriWildcat 1 WindtheEnergySulfonate asAEE

  10. AGC Division of APG Inc (Indiana) EIA Revenue and Sales - February 2008 |

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTriWildcat 1 WindtheEnergySulfonate asAEEOpen Energy Information

  11. AGC Division of APG Inc (Indiana) EIA Revenue and Sales - February 2009 |

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTriWildcat 1 WindtheEnergySulfonate asAEEOpen Energy InformationOpen

  12. AGC Division of APG Inc (Indiana) EIA Revenue and Sales - January 2008 |

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTriWildcat 1 WindtheEnergySulfonate asAEEOpen Energy

  13. AGC Division of APG Inc (Indiana) EIA Revenue and Sales - January 2009 |

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTriWildcat 1 WindtheEnergySulfonate asAEEOpen EnergyOpen Energy

  14. AGC Division of APG Inc (Indiana) EIA Revenue and Sales - July 2008 | Open

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTriWildcat 1 WindtheEnergySulfonate asAEEOpen EnergyOpen EnergyEnergy

  15. AGC Division of APG Inc (Indiana) EIA Revenue and Sales - June 2008 | Open

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTriWildcat 1 WindtheEnergySulfonate asAEEOpen EnergyOpen EnergyEnergyEnergy

  16. AGC Division of APG Inc (Indiana) EIA Revenue and Sales - March 2008 | Open

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTriWildcat 1 WindtheEnergySulfonate asAEEOpen EnergyOpen

  17. AGC Division of APG Inc (Indiana) EIA Revenue and Sales - March 2009 | Open

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTriWildcat 1 WindtheEnergySulfonate asAEEOpen EnergyOpenEnergy

  18. AGC Division of APG Inc (Indiana) EIA Revenue and Sales - May 2008 | Open

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTriWildcat 1 WindtheEnergySulfonate asAEEOpen EnergyOpenEnergyEnergy

  19. AGC Division of APG Inc (Indiana) EIA Revenue and Sales - November 2008 |

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTriWildcat 1 WindtheEnergySulfonate asAEEOpen EnergyOpenEnergyEnergyOpen

  20. AGC Division of APG Inc (Indiana) EIA Revenue and Sales - October 2008 |

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTriWildcat 1 WindtheEnergySulfonate asAEEOpen

  1. AGC Division of APG Inc (Indiana) EIA Revenue and Sales - September 2008 |

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTriWildcat 1 WindtheEnergySulfonate asAEEOpenOpen Energy Information 08

  2. ALLETE, Inc. (Minnesota) EIA Revenue and Sales - April 2008 | Open Energy

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTriWildcat 1 WindtheEnergySulfonate asAEEOpenOpenALD VacuumALDACOR

  3. ALLETE, Inc. (Minnesota) EIA Revenue and Sales - August 2008 | Open Energy

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTriWildcat 1 WindtheEnergySulfonate asAEEOpenOpenALD

  4. ALLETE, Inc. (Minnesota) EIA Revenue and Sales - January 2008 | Open Energy

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTriWildcat 1 WindtheEnergySulfonate asAEEOpenOpenALDEnergyInformation

  5. ALLETE, Inc. (Minnesota) EIA Revenue and Sales - January 2009 | Open Energy

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTriWildcat 1 WindtheEnergySulfonate

  6. ALLETE, Inc. (Minnesota) EIA Revenue and Sales - July 2008 | Open Energy

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTriWildcat 1 WindtheEnergySulfonateInformation 9.413 Residential Sales

  7. ALLETE, Inc. (Minnesota) EIA Revenue and Sales - June 2008 | Open Energy

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTriWildcat 1 WindtheEnergySulfonateInformation 9.413 Residential

  8. ALLETE, Inc. (Minnesota) EIA Revenue and Sales - March 2008 | Open Energy

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTriWildcat 1 WindtheEnergySulfonateInformation 9.413

  9. ALLETE, Inc. (Minnesota) EIA Revenue and Sales - March 2009 | Open Energy

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTriWildcat 1 WindtheEnergySulfonateInformation 9.413Information

  10. ALLETE, Inc. (Minnesota) EIA Revenue and Sales - May 2008 | Open Energy

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTriWildcat 1 WindtheEnergySulfonateInformation

  11. ALLETE, Inc. (Minnesota) EIA Revenue and Sales - October 2008 | Open Energy

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTriWildcat 1 WindtheEnergySulfonateInformationEnergy

  12. Ajo Improvement Co (Arizona) EIA Revenue and Sales - April 2008 | Open

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTriWildcat 1AMEEAisin Seiki G60 Jump to: navigation,

  13. Ajo Improvement Co (Arizona) EIA Revenue and Sales - August 2008 | Open

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTriWildcat 1AMEEAisin Seiki G60 Jump to: navigation,Energy Information

  14. Ajo Improvement Co (Arizona) EIA Revenue and Sales - December 2008 | Open

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTriWildcat 1AMEEAisin Seiki G60 Jump to: navigation,Energy

  15. Ajo Improvement Co (Arizona) EIA Revenue and Sales - February 2008 | Open

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTriWildcat 1AMEEAisin Seiki G60 Jump to: navigation,EnergyEnergy

  16. Ajo Improvement Co (Arizona) EIA Revenue and Sales - February 2009 | Open

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTriWildcat 1AMEEAisin Seiki G60 Jump to: navigation,EnergyEnergyEnergy

  17. Ajo Improvement Co (Arizona) EIA Revenue and Sales - January 2008 | Open

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTriWildcat 1AMEEAisin Seiki G60 Jump to:

  18. Ajo Improvement Co (Arizona) EIA Revenue and Sales - January 2009 | Open

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTriWildcat 1AMEEAisin Seiki G60 Jump to:Energy Information 12

  19. Ajo Improvement Co (Arizona) EIA Revenue and Sales - July 2008 | Open

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTriWildcat 1AMEEAisin Seiki G60 Jump to:Energy Information 12Energy

  20. Ajo Improvement Co (Arizona) EIA Revenue and Sales - June 2008 | Open

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTriWildcat 1AMEEAisin Seiki G60 Jump to:Energy Information

  1. Ajo Improvement Co (Arizona) EIA Revenue and Sales - March 2008 | Open

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTriWildcat 1AMEEAisin Seiki G60 Jump to:Energy InformationEnergy

  2. Ajo Improvement Co (Arizona) EIA Revenue and Sales - March 2009 | Open

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTriWildcat 1AMEEAisin Seiki G60 Jump to:Energy InformationEnergyEnergy

  3. Ajo Improvement Co (Arizona) EIA Revenue and Sales - May 2008 | Open Energy

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTriWildcat 1AMEEAisin Seiki G60 Jump to:Energy

  4. Ajo Improvement Co (Arizona) EIA Revenue and Sales - November 2008 | Open

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTriWildcat 1AMEEAisin Seiki G60 Jump to:EnergyEnergy Information Sales

  5. Ajo Improvement Co (Arizona) EIA Revenue and Sales - October 2008 | Open

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTriWildcat 1AMEEAisin Seiki G60 Jump to:EnergyEnergy Information

  6. Ajo Improvement Co (Arizona) EIA Revenue and Sales - September 2008 | Open

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTriWildcat 1AMEEAisin Seiki G60 Jump to:EnergyEnergy InformationEnergy

  7. Ak-Chin Electric Utility Authority (Arizona) EIA Revenue and Sales -

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTriWildcat 1AMEEAisin Seiki G60 Jump to:EnergyEnergy

  8. Ak-Chin Electric Utility Authority (Arizona) EIA Revenue and Sales -

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTriWildcat 1AMEEAisin Seiki G60 Jump to:EnergyEnergyFebruary 2008 | Open

  9. Ak-Chin Electric Utility Authority (Arizona) EIA Revenue and Sales -

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTriWildcat 1AMEEAisin Seiki G60 Jump to:EnergyEnergyFebruary 2008 |

  10. Ak-Chin Electric Utility Authority (Arizona) EIA Revenue and Sales -

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTriWildcat 1AMEEAisin Seiki G60 Jump to:EnergyEnergyFebruary 2008 |January

  11. Ak-Chin Electric Utility Authority (Arizona) EIA Revenue and Sales -

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTriWildcat 1AMEEAisin Seiki G60 Jump to:EnergyEnergyFebruary 2008

  12. Ak-Chin Electric Utility Authority (Arizona) EIA Revenue and Sales -

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTriWildcat 1AMEEAisin Seiki G60 Jump to:EnergyEnergyFebruary 2008November

  13. Ak-Chin Electric Utility Authority (Arizona) EIA Revenue and Sales -

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTriWildcat 1AMEEAisin Seiki G60 Jump to:EnergyEnergyFebruary

  14. Ak-Chin Electric Utility Authority (Arizona) EIA Revenue and Sales -

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTriWildcat 1AMEEAisin Seiki G60 Jump to:EnergyEnergyFebruarySeptember 2008

  15. Ak-Chin Electric Utility Authority (Arizona) EIA Revenue and Sales - April

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTriWildcat 1AMEEAisin Seiki G60 Jump to:EnergyEnergyFebruarySeptember

  16. Ak-Chin Electric Utility Authority (Arizona) EIA Revenue and Sales - August

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTriWildcat 1AMEEAisin Seiki G60 Jump to:EnergyEnergyFebruarySeptember2008 |

  17. Ak-Chin Electric Utility Authority (Arizona) EIA Revenue and Sales - July

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTriWildcat 1AMEEAisin Seiki G60 Jump to:EnergyEnergyFebruarySeptember2008

  18. Ak-Chin Electric Utility Authority (Arizona) EIA Revenue and Sales - June

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTriWildcat 1AMEEAisin Seiki G60 Jump

  19. Ak-Chin Electric Utility Authority (Arizona) EIA Revenue and Sales - March

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTriWildcat 1AMEEAisin Seiki G60 Jump2008 | Open Energy Information

  20. Ak-Chin Electric Utility Authority (Arizona) EIA Revenue and Sales - March

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTriWildcat 1AMEEAisin Seiki G60 Jump2008 | Open Energy Information2009

  1. Ak-Chin Electric Utility Authority (Arizona) EIA Revenue and Sales - May

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTriWildcat 1AMEEAisin Seiki G60 Jump2008 | Open Energy

  2. Alabama Power Co (Alabama) EIA Revenue and Sales - April 2008 | Open Energy

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTriWildcat 1AMEEAisin Seiki G60 Jump2008 | OpenOhio:Akuo

  3. Alabama Power Co (Alabama) EIA Revenue and Sales - August 2008 | Open

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTriWildcat 1AMEEAisin Seiki G60 Jump2008 | OpenOhio:AkuoEnergy

  4. Alabama Power Co (Alabama) EIA Revenue and Sales - December 2008 | Open

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTriWildcat 1AMEEAisin Seiki G60 Jump2008 | OpenOhio:AkuoEnergyEnergy

  5. Alabama Power Co (Alabama) EIA Revenue and Sales - February 2008 | Open

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTriWildcat 1AMEEAisin Seiki G60 Jump2008 | OpenOhio:AkuoEnergyEnergyEnergy

  6. Alabama Power Co (Alabama) EIA Revenue and Sales - February 2009 | Open

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTriWildcat 1AMEEAisin Seiki G60 Jump2008 |

  7. Alabama Power Co (Alabama) EIA Revenue and Sales - January 2008 | Open

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTriWildcat 1AMEEAisin Seiki G60 Jump2008 |Energy Information 81

  8. Alabama Power Co (Alabama) EIA Revenue and Sales - January 2009 | Open

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTriWildcat 1AMEEAisin Seiki G60 Jump2008 |Energy Information 81Energy

  9. Alabama Power Co (Alabama) EIA Revenue and Sales - July 2008 | Open Energy

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTriWildcat 1AMEEAisin Seiki G60 Jump2008 |Energy Information

  10. Alabama Power Co (Alabama) EIA Revenue and Sales - June 2008 | Open Energy

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTriWildcat 1AMEEAisin Seiki G60 Jump2008 |Energy

  11. Alabama Power Co (Alabama) EIA Revenue and Sales - March 2008 | Open Energy

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTriWildcat 1AMEEAisin Seiki G60 Jump2008 |EnergyInformation 0840

  12. Alabama Power Co (Alabama) EIA Revenue and Sales - March 2009 | Open Energy

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTriWildcat 1AMEEAisin Seiki G60 Jump2008 |EnergyInformation

  13. Alabama Power Co (Alabama) EIA Revenue and Sales - May 2008 | Open Energy

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTriWildcat 1AMEEAisin Seiki G60 Jump2008

  14. Alabama Power Co (Alabama) EIA Revenue and Sales - November 2008 | Open

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTriWildcat 1AMEEAisin Seiki G60 Jump2008Energy Information Co for

  15. Alabama Power Co (Alabama) EIA Revenue and Sales - October 2008 | Open

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTriWildcat 1AMEEAisin Seiki G60 Jump2008Energy Information Co forEnergy

  16. Alabama Power Co (Alabama) EIA Revenue and Sales - September 2008 | Open

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTriWildcat 1AMEEAisin Seiki G60 Jump2008Energy Information Co

  17. Alaska Electric Light&Power Co (Alaska) EIA Revenue and Sales - April 2008

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTriWildcat 1AMEEAisin Seiki G60Alameda County,90DECInformationDivision|

  18. Alaska Electric Light&Power Co (Alaska) EIA Revenue and Sales - August 2008

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTriWildcat 1AMEEAisin Seiki G60Alameda

  19. Alaska Electric Light&Power Co (Alaska) EIA Revenue and Sales - December

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTriWildcat 1AMEEAisin Seiki G60Alameda2008 | Open Energy Information

  20. Alaska Electric Light&Power Co (Alaska) EIA Revenue and Sales - February

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTriWildcat 1AMEEAisin Seiki G60Alameda2008 | Open Energy