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


1

China For all ages a MulTi-generaTional exPloraTion  

E-Print Network (OSTI)

China For all ages a MulTi-generaTional exPloraTion The greaT Wall, TerraCoTTa Warriors & The MighCTuresque China Experience the Delights of a Well-Crafted Family Tour Dear Princetonian, Join Princeton Journeys, June 27 ­ July 9, 2013, for a comprehensive tour of China designed with families in mind. Explore

Rowley, Clarence W.

2

Regional Purchasing  

NLE Websites -- All DOE Office Websites (Extended Search)

Regional Purchasing Regional Purchasing Regional Purchasing Pursuant to Appendix M of Prime Contract No. DE-AC52-06NA25396 between DOE/NNSA and Los Alamos National Security, LLC (LANS), LANS is committed to building a strong supplier base with Northern New Mexico businesses and the local Native American pueblos in the purchases of goods and services. Contact Small Business Office (505) 667-4419 Email We seek out and utilize known Northern New Mexico business as suppliers The Northern New Mexico counties included are Los Alamos Santa Fe Rio Arriba Taos Mora San Miguel Sandoval The eight regional pueblos included are Nambe Ohkay Owingeh (formerly known as San Juan) Picuris Pojoaque San Ildefonso Santa Clara Taos Tesuque When the Laboratory cannot identify regional firms, it will expand its

3

Green Purchasing & Green Technology  

NLE Websites -- All DOE Office Websites (Extended Search)

Purchasing & Technology Goals 6 & 7: Green Purchasing & Green Technology Our goal is to purchase and use environmentally sustainable products whenever possible and to implement...

4

Power Purchase Agreements  

Energy.gov (U.S. Department of Energy (DOE))

Presentation covers the power purchase agreements taken from the FEMP Alternative Finance Options (AFO) webinar.

5

Power Purchase Agreements  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Power Purchase Agreements Power Purchase Agreements Chandra Shah, NREL 303-384-7557 chandra.shah@nrel.gov February 2011 revised 2 | Federal Energy Management Program eere.energy.gov Overview * Customer-sited power purchase agreement (PPA) definition * Project process * Project examples * Utility Renewable Energy Services Contract (URESC) * Enhanced use lease (EUL) * PPA support, resources and key points 3 | Federal Energy Management Program eere.energy.gov * Private entity purchases, installs, owns, operates and maintains customer-sited renewable equipment * Site purchases electricity through power purchase agreement (PPA) * Pros - Renewable developer (or partner) eligible for tax incentives, accelerated depreciation - No agency up-front capital required - Renewable developer provides O&M - Minimal risk to government

6

Internal Controls Over Classified Computersand Classified Removable...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Classified Removable Media at theLawrence Livermore National Laboratory, IG-0628 Computers are used extensively in the full range of operations at Lawrence Livermore National...

7

Uranium purchases report 1994  

SciTech Connect

US utilities are required to report to the Secretary of Energy annually the country of origin and the seller of any uranium or enriched uranium purchased or imported into the US, as well as the country of origin and seller of any enrichment services purchased by the utility. This report compiles these data and also contains a glossary of terms and additional purchase information covering average price and contract duration. 3 tabs.

1995-07-01T23:59:59.000Z

8

Uranium Purchases Report  

Reports and Publications (EIA)

Final issue. This report details natural and enriched uranium purchases as reported by owners and operators of commercial nuclear power plants. 1996 represents the most recent publication year.

Douglas Bonnar

1996-06-01T23:59:59.000Z

9

Power Purchase Agreements Update  

Energy.gov (U.S. Department of Energy (DOE))

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

10

Uranium Purchases Report 1995  

U.S. Energy Information Administration (EIA)

DOE/EIA–0570(95) Distribution Category UC–950 Uranium Purchases Report 1995 June 1996 Energy Information Administration Office of Coal, Nuclear, ...

11

High Performance Windows Volume Purchase: The Windows Volume Purchase RFP  

NLE Websites -- All DOE Office Websites (Extended Search)

The Windows The Windows Volume Purchase RFP to someone by E-mail Share High Performance Windows Volume Purchase: The Windows Volume Purchase RFP on Facebook Tweet about High Performance Windows Volume Purchase: The Windows Volume Purchase RFP on Twitter Bookmark High Performance Windows Volume Purchase: The Windows Volume Purchase RFP on Google Bookmark High Performance Windows Volume Purchase: The Windows Volume Purchase RFP on Delicious Rank High Performance Windows Volume Purchase: The Windows Volume Purchase RFP on Digg Find More places to share High Performance Windows Volume Purchase: The Windows Volume Purchase RFP on AddThis.com... Home About FAQs Low-E Storm Windows Request for Proposal Contacts For Builders For Residential Buyers For Light Commercial Buyers For Manufacturers

12

Natural Gas Purchasing Options  

E-Print Network (OSTI)

As a result of economic and regulatory changes, the natural gas marketplace now offers multiple options for purchasers. The purpose of this panel is to discuss short-term purchasing options and how to take advantage of these options both to lower energy costs and to secure supply.

Watkins, G.

1988-09-01T23:59:59.000Z

13

Power Purchase Agreements  

NLE Websites -- All DOE Office Websites (Extended Search)

Text Text eere.energy.gov Power Purchase Agreements Chandra Shah, NREL 303-384-7557 chandra.shah@nrel.gov February 2011 revised 2 | Federal Energy Management Program eere.energy.gov Overview * Customer-sited power purchase agreement (PPA) definition * Project process * Project examples * Utility Renewable Energy Services Contract (URESC) * Enhanced use lease (EUL) * PPA support, resources and key points 3 | Federal Energy Management Program eere.energy.gov * Private entity purchases, installs, owns, operates and maintains customer-sited renewable equipment * Site purchases electricity through power purchase agreement (PPA) * Pros - Renewable developer (or partner) eligible for tax incentives, accelerated depreciation - No agency up-front capital required - Renewable developer provides O&M

14

Learning classifier systems  

Science Conference Proceedings (OSTI)

This tutorial gives an introduction to Learning Classifier Systems focusing on the Michigan-Style type and XCS in particular. The objective is to introduce (1) where LCSs come from, (2) how LCSs generally work, (3) which different systems exist, (4) ... Keywords: adaptive systems, cognitive systems, datamining, function approximation, genetic algorithms, learning classifier systems, machine learning, regression, reinforcement learning

Martin V. Butz

2010-07-01T23:59:59.000Z

15

Bootstrapping toponym classifiers  

Science Conference Proceedings (OSTI)

We present minimally supervised methods for training and testing geographic name disambiguation (GND) systems. We train data-driven place name classifiers using toponyms already disambiguated in the training text --- by such existing cues as "Nashville, ...

David A. Smith; Gideon S. Mann

2003-05-01T23:59:59.000Z

16

Power Purchase Agreements Update  

NLE Websites -- All DOE Office Websites (Extended Search)

FEDERAL ENERGY MANAGEMENT PROGRAM FEDERAL ENERGY MANAGEMENT PROGRAM femp.energy.gov Federal Utility Partnership Working Group Meeting April 20-21 in Portland, Oregon Power Purchase Agreement Update April 21, 2011 Chandra Shah chandra.shah@nrel.gov 2 | FEDERAL ENERGY MANAGEMENT PROGRAM femp.energy.gov Overview * Power Purchase Agreement (PPA) Template * PPA Request For Information (RFI) 3 | FEDERAL ENERGY MANAGEMENT PROGRAM femp.energy.gov PPA Template * DLA Energy has an updated PPA template - Includes Best Value evaluation (rather than Low Price/Technically Acceptable) - Additional updates will be made based on the PPA RFI - Updated template will be posted on FEMP PPA Sample Document web site http://www1.eere.energy.gov/femp/financing/ppa_sampledocs.html 4 | FEDERAL ENERGY MANAGEMENT PROGRAM femp.energy.gov

17

Power Purchase Agreements Update  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

April 20-21 in Portland, Oregon April 20-21 in Portland, Oregon Power Purchase Agreement Update April 21, 2011 Chandra Shah chandra.shah@nrel.gov 2 | FEDERAL ENERGY MANAGEMENT PROGRAM femp.energy.gov Overview * Power Purchase Agreement (PPA) Template * PPA Request For Information (RFI) 3 | FEDERAL ENERGY MANAGEMENT PROGRAM femp.energy.gov PPA Template * DLA Energy has an updated PPA template - Includes Best Value evaluation (rather than Low Price/Technically Acceptable) - Additional updates will be made based on the PPA RFI - Updated template will be posted on FEMP PPA Sample Document web site http://www1.eere.energy.gov/femp/financing/ppa_sampledocs.html 4 | FEDERAL ENERGY MANAGEMENT PROGRAM femp.energy.gov PPA Request for Information * Background - PPA issues identified based on meetings/telecons

18

Solar Power Purchase Agreements  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Solar Power Purchase Agreements Solar Power Purchase Agreements Brian Millberg | Energy Manager, City of Minneapolis Direct Ownership * Financial: Even at $3/kW installed cost, simple payback is 18 years (initial electricity cost of $0.10/kWh and 3%/year electricity cost inflation) * Politics: How to justify expense with such a long payback * If RECS begin to have some real value, this would be a positive for ownership. 2 PPA Advantages * No/low up-front costs * City can take advantage of Investment Tax Credits (ITCs) - This leads to low electricity costs * Predictable electricity cost for length of contract * Avoid direct design/rebate/permitting work * No maintenance/operation headaches 3 PPA Financial Case (1 MW system) * PPA allows a developer to reduce system cost through:

19

Green Power Purchasing Commitment (Massachusetts) | Open Energy...  

Open Energy Info (EERE)

Green Power Purchasing Commitment Incentive Type Green Power Purchasing Applicable Sector State Government Eligible Technologies Anaerobic Digestion, Biomass, CHPCogeneration,...

20

Linearized Additive Classifiers  

E-Print Network (OSTI)

We revisit the additive model learning literature and adapt a penalized spline formulation due to Eilers and Marx, to train additive classifiers efficiently. We also propose two new embeddings based two classes of orthogonal basis with orthogonal derivatives, which can also be used to efficiently learn additive classifiers. This paper follows the popular theme in the current literature where kernel SVMs are learned much more efficiently using a approximate embedding and linear machine. In this paper we show that spline basis are especially well suited for learning additive models because of their sparsity structure and the ease of computing the embedding which enables one to train these models in an online manner, without incurring the memory overhead of precomputing the storing the embeddings. We show interesting connections between B-Spline basis and histogram intersection kernel and show that for a particular choice of regularization and degree of the B-Splines, our proposed learning algorithm closely appr...

Maji, Subhransu

2011-01-01T23:59:59.000Z

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


21

CONTRACTOR PURCHASING SYSTEM REVIEWS  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Page 1 Page 1 APPENDIX C CONTRACTOR PURCHASING SYSTEM REVIEWS RISK ASSESSMENT MATRIX RISK CATEGORY PERFORMANCE SCHEDULE COST HIGH (3) --Performance data casts significant doubt on the ability of the system or key process ability to meet requirements. A major disruption is highly probable and the likelihood is that the supplier will not achieve the performance, schedule or cost objectives · Delinquent end item delivery · Poor or nonexistent internal audit/self governance · Failure to meet socio-economic subcontract goals · Frequent overruns · Inadequate incoming inspection methods · Frequent late supplier deliveries<80% · Inadequate lead time provided to ensure on-time delivery of critical items · Inadequate subcontract

22

Quick Guide: Power Purchase Agreements  

Energy.gov (U.S. Department of Energy (DOE))

Fact sheet explains on-site renewable power purchase agreements (PPAs) and includes which questions to ask when evaluating a PPA for a Federal renewable energy project.

23

Green Power Network: Government Purchasing  

NLE Websites -- All DOE Office Websites (Extended Search)

Government Purchasing Government Purchasing Community Choice Aggregation Disclosure Policies Green Power Policies Net Metering Policies Government Purchasing A number of governments, at both the federal, state, and local level, have established targets or goals for the amount of green power that their facilities should use. At the federal level, the Energy Policy Act of 2005 requires that federal government purchase 3% renewable energy in fiscal years 2007-2009, 5% in fiscal years 2010-2012, and 7.5% in fiscal year 2013 and thereafter. In January 2007, Executive Order 13423 established that at least half of the mandated renewable energy come from generation built after January 1, 1999. State governments, including Connecticut, Illinois, Indiana, Maine, Maryland, Massachusetts, New York, Pennsylvania, and Wisconsin, have committed to purchasing green power.

24

Classified Information Training | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Classified Information Training Classified Information Training Training Introduction to Classified Information, December 2013 GEN-16, "No Comment" Policy for Classified Subject...

25

CLASSIFY-Applications: Volume 1: Gathering Information About Your Customers  

Science Conference Proceedings (OSTI)

EPRI's CLASSIFY System helps utilities understand the lifestyle, business, and energy needs of their residential, commercial, and industrial customers. These needs form the foundation of the attitudes and values that drive end-use equipment purchases and energy consumption. Such information is crucial if utilities are to develop and deliver customer-driven products and services. This report is available only to funders of Program 101A or 101.001. Funders may download this report at http://my.primen.com/...

1995-05-11T23:59:59.000Z

26

Federal Energy Management Program: Purchasing Renewable Power  

NLE Websites -- All DOE Office Websites (Extended Search)

Purchasing Renewable Power to someone by E-mail Share Federal Energy Management Program: Purchasing Renewable Power on Facebook Tweet about Federal Energy Management Program:...

27

Green Power Purchasing | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Green Power Purchasing Green Power Purchasing Eligibility State Government Savings For Bioenergy Alternative Fuel Vehicles Hydrogen & Fuel Cells Buying & Making Electricity Water...

28

Austin - Green Power Purchasing | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Power Marketing Administration Other Agencies You are here Home Savings Austin - Green Power Purchasing Austin - Green Power Purchasing Eligibility Local Government Savings...

29

High Performance Windows Volume Purchase: For Builders  

NLE Websites -- All DOE Office Websites (Extended Search)

For Builders to someone by E-mail Share High Performance Windows Volume Purchase: For Builders on Facebook Tweet about High Performance Windows Volume Purchase: For Builders on...

30

High Performance Windows Volume Purchase: For Manufacturers  

NLE Websites -- All DOE Office Websites (Extended Search)

For Manufacturers to someone by E-mail Share High Performance Windows Volume Purchase: For Manufacturers on Facebook Tweet about High Performance Windows Volume Purchase: For...

31

High Performance Windows Volume Purchase: Events  

NLE Websites -- All DOE Office Websites (Extended Search)

Events to someone by E-mail Share High Performance Windows Volume Purchase: Events on Facebook Tweet about High Performance Windows Volume Purchase: Events on Twitter Bookmark High...

32

High Performance Windows Volume Purchase: News  

NLE Websites -- All DOE Office Websites (Extended Search)

News to someone by E-mail Share High Performance Windows Volume Purchase: News on Facebook Tweet about High Performance Windows Volume Purchase: News on Twitter Bookmark High...

33

Green Power Purchasing (Maine) | Open Energy Information  

Open Energy Info (EERE)

Maine Name Green Power Purchasing Incentive Type Green Power Purchasing Applicable Sector State Government Eligible Technologies Biomass, Fuel Cells, Fuel Cells using Renewable...

34

Green Power Purchasing (Wisconsin) | Open Energy Information  

Open Energy Info (EERE)

Name Green Power Purchasing Incentive Type Green Power Purchasing Applicable Sector State Government Eligible Technologies Biomass, Fuel Cells using Renewable Fuels,...

35

Purchasing and procurement case studies | ENERGY STAR  

NLE Websites -- All DOE Office Websites (Extended Search)

Purchase energy-saving products Purchasing and procurement case studies Secondary menu About us Press room Contact Us Portfolio Manager Login Facility owners and managers...

36

www.ResponsiblePurchasing.org Sustainable Purchasing 101  

E-Print Network (OSTI)

.ResponsiblePurchasing.org EPPs are... · Made with recycled content · Highly energy efficient · Designed to be long lasting · Creating local "green collar" jobs · Securing green building (LEED) credits · Life-cycle cost savings 8 OSU-Off Compostable food containers with "Teflon" coating Worshipping False Labels Lesser of Two Evils Organic

Escher, Christine

37

Evaluating learning algorithms and classifiers  

Science Conference Proceedings (OSTI)

We analyse 18 evaluation methods for learning algorithms and classifiers, and show how to categorise these methods with the help of an evaluation method taxonomy based on several criteria. We also define a formal framework that make it possible to describe ... Keywords: classification, classifiers, evaluation methods, learning algorithms, supervised learning, taxonomy

Niklas Lavesson; Paul Davidsson

2007-04-01T23:59:59.000Z

38

High Performance Windows Volume Purchase: Information Resources  

NLE Websites -- All DOE Office Websites (Extended Search)

Information Information Resources to someone by E-mail Share High Performance Windows Volume Purchase: Information Resources on Facebook Tweet about High Performance Windows Volume Purchase: Information Resources on Twitter Bookmark High Performance Windows Volume Purchase: Information Resources on Google Bookmark High Performance Windows Volume Purchase: Information Resources on Delicious Rank High Performance Windows Volume Purchase: Information Resources on Digg Find More places to share High Performance Windows Volume Purchase: Information Resources on AddThis.com... Home About For Builders For Residential Buyers For Light Commercial Buyers For Manufacturers For Utilities Information Resources Information Resources Numerous publications will be available to help educate buyers, product

39

Cost-sensitive classifier evaluation  

Science Conference Proceedings (OSTI)

Evaluating classifier performance in a cost-sensitive setting is straightforward if the operating conditions (misclassification costs and class distributions) are fixed and known. When this is not the case, evaluation requires a method of visualizing ...

Robert C. Holte; Chris Drummond

2005-08-01T23:59:59.000Z

40

Purchase Obligations, Earnings Persistence and Stock Returns  

E-Print Network (OSTI)

Power purchase, natural gas supply and transportation, andsupply agreements Ball Corp • Aluminum, steel, plastic resin, other direct materials, natural gas

Lee, Kwang June

2010-01-01T23:59:59.000Z

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


41

DOE Indian Energy Purchase Preference Policy Guidance | Department...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Indian Energy Purchase Preference Policy Guidance DOE Indian Energy Purchase Preference Policy Guidance PDFFINAL DOE Indian Energy purchase preference policy guidance.pdf More...

42

High Performance Windows Volume Purchase: Contacts  

NLE Websites -- All DOE Office Websites (Extended Search)

Contacts to Contacts to someone by E-mail Share High Performance Windows Volume Purchase: Contacts on Facebook Tweet about High Performance Windows Volume Purchase: Contacts on Twitter Bookmark High Performance Windows Volume Purchase: Contacts on Google Bookmark High Performance Windows Volume Purchase: Contacts on Delicious Rank High Performance Windows Volume Purchase: Contacts on Digg Find More places to share High Performance Windows Volume Purchase: Contacts on AddThis.com... Home About For Builders For Residential Buyers For Light Commercial Buyers For Manufacturers For Utilities Information Resources Contacts Web site and High Performance Windows Volume Purchase Program contacts are provided below. Website Contact Send us your comments, report problems, and/or ask questions about

43

Robust classifying of prokaryotic genomes  

Science Conference Proceedings (OSTI)

In this paper, we propose a method to classify prokaryotic genomes using the agglomerative information bottleneck method for unsupervised clustering. Although the method we present here is closely related to a group of methods based on detecting the ... Keywords: Agglomerative clustering, COGs, Gene length, IB, Information bottleneck method, Jackknifing, NJ, Phylogenomics, UPGMA

Katerina Korenblat; Zeev Volkovich; Alexander Bolshoy

2012-10-01T23:59:59.000Z

44

Alaska North Slope First Purchase Price (Dollars per Barrel)  

U.S. Energy Information Administration (EIA)

Referring Pages: Domestic Crude Oil First Purchase Prices by Area; Domestic Crude Oil First Purchase Prices for Selected Crude Streams

45

Briefing, Restricted Data Classifiers - March 2013 | Department...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Restricted Data Classifiers - March 2013 Briefing, Restricted Data Classifiers - March 2013 March 2013 This briefing provides the training required by 10 CFR part 1045 for persons...

46

Green Power Purchase Plan | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Green Power Purchase Plan Green Power Purchase Plan Green Power Purchase Plan < Back Eligibility State Government Savings Category Bioenergy Alternative Fuel Vehicles Hydrogen & Fuel Cells Water Solar Buying & Making Electricity Home Weatherization Wind Program Info State Connecticut Program Type Green Power Purchasing Provider Department of Energy and Environmental Protection In April 2004, Connecticut's governor signed an executive order directing state-government agencies and universities to purchase an increasing amount of electricity generated by renewable resources. Under terms of the order, the state government has a goal to increase "Class I" renewable energy purchases to 20% of electricity used in 2010, 50% in 2020 and 100% in 2050. The order also authorizes the use of savings generated by state energy

47

Electronic bidding in Brazilian public administration purchases  

Science Conference Proceedings (OSTI)

This paper intended to evaluate the determinative factors in the price variation of the purchases through e-bidding in Brazil. A survey in 195 e-bidding winners was carried through to test the relation between the price variation and representative ... Keywords: Brazil, asset specificity, auction theory, bids, central government, e-bidding, e-finance, electronic bidding, electronic finance, multiple regression, online bidding, price variations, public administration, public expenditure, purchases, purchasing, suppliers, transaction costs, transaction frequency

Evandro Rodrigues De Faria; Marco Aurelio Marques Ferreira; Lucas Maia Dos Santos

2010-10-01T23:59:59.000Z

48

Green Power Purchasing Commitment | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Green Power Purchasing Commitment Green Power Purchasing Commitment Green Power Purchasing Commitment < Back Eligibility State Government Savings Category Bioenergy Commercial Heating & Cooling Manufacturing Buying & Making Electricity Alternative Fuel Vehicles Hydrogen & Fuel Cells Water Energy Sources Solar Home Weatherization Wind Program Info State Massachusetts Program Type Green Power Purchasing Provider Massachusetts Department of Energy Resources (DOER) In April 2007, Massachusetts Gov. Deval Patrick signed Executive Order 484, titled "Leading by Example: Clean Energy and Efficient Buildings." This order establishes numerous energy targets and mandates for state government buildings under control of the executive office. The order directed state government agencies to procure 15% of annual electricity consumption from

49

Green Power Purchasing | Open Energy Information  

Open Energy Info (EERE)

Purchasing Purchasing Jump to: navigation, search Government entities, businesses, residents, schools, non-profits and others can play a significant role in supporting renewable energy by buying electricity from renewable resources, or by buying renewable energy credits (RECs). Many state and local governments, as well as the federal government, have committed to buying green power to account for a certain percentage of their electricity consumption. Green power purchases are typically executed through contracts with green power marketers or project developers, through utility green power programs, or through community aggregation. [1] Green Power Purchasing Incentives CSV (rows 1 - 77) Incentive Incentive Type Place Applicable Sector Eligible Technologies Active

50

Austin - Green Power Purchasing | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Bioenergy Solar Buying & Making Electricity Wind Program Information Texas Program Type Green Power Purchasing Under the Austin Climate Protection Plan, the City Council has set...

51

High Performance Windows Volume Purchase: About the High Performance  

NLE Websites -- All DOE Office Websites (Extended Search)

High Performance Windows Volume Purchase: About the High Performance Windows Volume Purchase: About the High Performance Windows Volume Purchase Program to someone by E-mail Share High Performance Windows Volume Purchase: About the High Performance Windows Volume Purchase Program on Facebook Tweet about High Performance Windows Volume Purchase: About the High Performance Windows Volume Purchase Program on Twitter Bookmark High Performance Windows Volume Purchase: About the High Performance Windows Volume Purchase Program on Google Bookmark High Performance Windows Volume Purchase: About the High Performance Windows Volume Purchase Program on Delicious Rank High Performance Windows Volume Purchase: About the High Performance Windows Volume Purchase Program on Digg Find More places to share High Performance Windows Volume Purchase:

52

Purchasing Renewable Power | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Technologies » Renewable Energy » Purchasing Renewable Power Technologies » Renewable Energy » Purchasing Renewable Power Purchasing Renewable Power October 7, 2013 - 9:43am Addthis Federal agencies can purchase renewable power or renewable energy certificates (RECs) from a utility or other organization to meet Federal renewable energy requirements. Renewable power and RECs are good choices for facilities where on-site projects may be difficult or capital budgets are limited. There are three methods for purchasing renewable power that's not generated on a Federal site: Renewable Energy Certificates: Also known as renewable energy credits, green certificates, green tags, or tradable renewable certificates, RECs represent the environmental attributes of the power produced from renewable energy projects and are sold separately from commodity electricity. RECs

53

High Performance Windows Volume Purchase: Subscribe to Windows...  

NLE Websites -- All DOE Office Websites (Extended Search)

Subscribe to Windows Volume Purchase Event News and Updates to someone by E-mail Share High Performance Windows Volume Purchase: Subscribe to Windows Volume Purchase Event News and...

54

Government Purchase Card Program | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Government Purchase Card Program Government Purchase Card Program Government Purchase Card Program The General Services Administration (GSA) SmartPay2 program provides charge cards to U.S. Government agencies, including the Department of Energy (DOE). Through GSA, DOE has contracted with JP Morgan Chase Bank to provide charge cards to pay for supplies/services to support our business purpose. All terms and conditions, including but not limited to, fees, liabilities, discounts, and rebates have been negotiated on behalf of all participants in the program. DOE allows the use of GSA SmartPay2 charge cards to cost reimbursement contractors that have been authorized to use Government Supply Sources pursuant to FAR Subpart 51.1. Charge cards provide DOE with a means to simplify its small purchase

55

Federal Energy Management Program: Purchasing Renewable Power  

NLE Websites -- All DOE Office Websites (Extended Search)

Purchasing Renewable Power Purchasing Renewable Power Federal agencies can purchase renewable power or renewable energy certificates (RECs) from a utility or other organization to meet Federal renewable energy requirements. Renewable power and RECs are good choices for facilities where on-site projects may be difficult or capital budgets are limited. There are three methods for purchasing renewable power that's not generated on a Federal site: Renewable Energy Certificates: Also known as renewable energy credits, green certificates, green tags, or tradable renewable certificates, RECs represent the environmental attributes of the power produced from renewable energy projects and are sold separately from commodity electricity. RECs are an attractive option for Federal facilities located where renewable power is not readily available.

56

Property:Purchasers | Open Energy Information  

Open Energy Info (EERE)

Property Property Edit with form History Facebook icon Twitter icon » Property:Purchasers Jump to: navigation, search Property Name Purchasers Property Type String Description A unique list of power purchasers of all geothermal power plants in the area. Automatically populated using ask query on Property: EnergyPurchaser of Category: Energy Generation Facility with property GeothermalArea set to the variable Name of the Geothermal Resource Area Subproperties This property has the following 321 subproperties: A Abraham Hot Springs Geothermal Area Adak Geothermal Area Akun Strait Geothermal Area Akutan Fumaroles Geothermal Area Alum Geothermal Area Alvord Hot Springs Geothermal Area Amedee Geothermal Area Arrowhead Hot Springs Geothermal Area Ashton Warm Springs Geothermal Area

57

City of Bellingham- Green Power Purchasing  

Energy.gov (U.S. Department of Energy (DOE))

In July 2006, the Bellingham City Council adopted a policy to begin purchasing 100% green power for all facilities owned by the city -- one of the most aggressive such goals in the United States....

58

Quick Guide: Power Purchase Agreements (Fact Sheet)  

Science Conference Proceedings (OSTI)

Introduction to Federal power purchase agreements (PPAs), including available FEMP services and technical assistance as well as questions to ask when evaluating PPAs for a Federal renewable energy project.

Not Available

2011-07-01T23:59:59.000Z

59

Alternative Fuels Data Center: State Vehicle Purchasing Guidance  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

Vehicle Vehicle Purchasing Guidance to someone by E-mail Share Alternative Fuels Data Center: State Vehicle Purchasing Guidance on Facebook Tweet about Alternative Fuels Data Center: State Vehicle Purchasing Guidance on Twitter Bookmark Alternative Fuels Data Center: State Vehicle Purchasing Guidance on Google Bookmark Alternative Fuels Data Center: State Vehicle Purchasing Guidance on Delicious Rank Alternative Fuels Data Center: State Vehicle Purchasing Guidance on Digg Find More places to share Alternative Fuels Data Center: State Vehicle Purchasing Guidance on AddThis.com... More in this section... Federal State Advanced Search All Laws & Incentives Sorted by Type State Vehicle Purchasing Guidance The Washington Department of Enterprise Services must develop guidelines

60

Alternative Fuels Data Center: Biodiesel Blend Purchase Requirement  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

Blend Blend Purchase Requirement to someone by E-mail Share Alternative Fuels Data Center: Biodiesel Blend Purchase Requirement on Facebook Tweet about Alternative Fuels Data Center: Biodiesel Blend Purchase Requirement on Twitter Bookmark Alternative Fuels Data Center: Biodiesel Blend Purchase Requirement on Google Bookmark Alternative Fuels Data Center: Biodiesel Blend Purchase Requirement on Delicious Rank Alternative Fuels Data Center: Biodiesel Blend Purchase Requirement on Digg Find More places to share Alternative Fuels Data Center: Biodiesel Blend Purchase Requirement on AddThis.com... More in this section... Federal State Advanced Search All Laws & Incentives Sorted by Type Biodiesel Blend Purchase Requirement Diesel fuel that the New Hampshire Department of Transportation

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


61

Federal Energy Management Program: Information Resources on Purchasing...  

NLE Websites -- All DOE Office Websites (Extended Search)

Information Resources on Purchasing Renewable Power to someone by E-mail Share Federal Energy Management Program: Information Resources on Purchasing Renewable Power on Facebook...

62

Guide to Purchasing Green Power: Renewable Electricity, Renewable...  

NLE Websites -- All DOE Office Websites (Extended Search)

Guide to Purchasing Green Power: Renewable Electricity, Renewable Energy Certificates and On-Site Renewable Generation Title Guide to Purchasing Green Power: Renewable Electricity,...

63

City of Dallas - Green Energy Purchasing | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Dallas - Green Energy Purchasing City of Dallas - Green Energy Purchasing Eligibility Local Government Savings For Wind Buying & Making Electricity Program Information Texas...

64

,"Domestic Crude Oil First Purchase Prices for Selected Crude...  

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

(Dollars per Barrel)","Mars Blend First Purchase Price (Dollars per Barrel)","West Texas Intermediate First Purchase Price (Dollars per Barrel)","West Texas Sour First...

65

City of Bellingham - Green Power Purchasing | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Administration Other Agencies You are here Home Savings City of Bellingham - Green Power Purchasing City of Bellingham - Green Power Purchasing Eligibility Local...

66

Riverside, CA Vehicle Purchase Incentives | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

are eligible to receive a rebate toward the purchase of qualified natural gas or hybrid electric vehicles purchased from a City of Riverside automobile dealership. The...

67

Use of New Strategically Sourced Blanket Purchase Agreement....  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Use of New Strategically Sourced Blanket Purchase Agreement. . . Use of New Strategically Sourced Blanket Purchase Agreement. . . Policy Flash Use of New Strategically Sourced...

68

City of Dallas - Green Energy Purchasing (Texas) | Open Energy...  

Open Energy Info (EERE)

purchasing program through 2013. The purchase amounts to roughly 40% of total expected electricity consumption by municipal facilities for the year and will be supplied...

69

Energy Department Issues Tribal Renewable Energy Purchase Guidance...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Energy Department Issues Tribal Renewable Energy Purchase Guidance and Project Development Resources Energy Department Issues Tribal Renewable Energy Purchase Guidance and Project...

70

Green Power Purchase Plan (Connecticut) | Open Energy Information  

Open Energy Info (EERE)

Name Green Power Purchase Plan Incentive Type Green Power Purchasing Applicable Sector State Government Eligible Technologies Biomass, Fuel Cells, Landfill Gas, Ocean Thermal,...

71

Alternative Fuels Data Center: Natural Gas Vehicle (NGV) Purchase...  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

Natural Gas Vehicle (NGV) Purchase Vouchers to someone by E-mail Share Alternative Fuels Data Center: Natural Gas Vehicle (NGV) Purchase Vouchers on Facebook Tweet about...

72

Error minimizing algorithms for nearest eighbor classifiers  

SciTech Connect

Stack Filters define a large class of discrete nonlinear filter first introd uced in image and signal processing for noise removal. In recent years we have suggested their application to classification problems, and investigated their relationship to other types of discrete classifiers such as Decision Trees. In this paper we focus on a continuous domain version of Stack Filter Classifiers which we call Ordered Hypothesis Machines (OHM), and investigate their relationship to Nearest Neighbor classifiers. We show that OHM classifiers provide a novel framework in which to train Nearest Neighbor type classifiers by minimizing empirical error based loss functions. We use the framework to investigate a new cost sensitive loss function that allows us to train a Nearest Neighbor type classifier for low false alarm rate applications. We report results on both synthetic data and real-world image data.

Porter, Reid B [Los Alamos National Laboratory; Hush, Don [Los Alamos National Laboratory; Zimmer, G. Beate [TEXAS A& M

2011-01-03T23:59:59.000Z

73

Request for Information: Federal Government Power Purchase Agreements (PPA) Issues  

Energy.gov (U.S. Department of Energy (DOE))

Document describes the request for information for federal government power purchase agreement (PPA) issues.

74

Scientists Classify Forest Disturbances to Grow Understanding...  

NLE Websites -- All DOE Office Websites (Extended Search)

Scientists Classify Forest Disturbances to Grow Understanding of Climate Change Daniel Hayes, shown here outside of Nome, Alaska, traveled to the Arctic in June to study climate...

75

Jackson Purchase Energy Corporation | Open Energy Information  

Open Energy Info (EERE)

Purchase Energy Corporation Purchase Energy Corporation Jump to: navigation, search Name Jackson Purchase Energy Corporation Place Kentucky Utility Id 9605 Utility Location Yes Ownership C NERC Location SERC Activity Distribution Yes References EIA Form EIA-861 Final Data File for 2010 - File1_a[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Utility Rate Schedules Grid-background.png 1,000 watt - Metal Flood Lighting 100 watt - High Pressure Sodium Lighting 150 watt - Metal Halide Lighting 250 watt - High Pressure Sodium Lighting 250 watt - High Pressure Sodium Flood Lighting 400 watt - MV Lighting 400 watt - Metal Halide Lighting Commercial and Industrial - Schedule D Industrial Industrial Schedule I-E Industrial

76

Property:EnergyPurchaser | Open Energy Information  

Open Energy Info (EERE)

EnergyPurchaser EnergyPurchaser Jump to: navigation, search This is a property of type Page. Subproperties This property has the following 1 subproperty: G GRR/Section 4-FD-a - Exploration Permit BLM Pages using the property "EnergyPurchaser" Showing 25 pages using this property. (previous 25) (next 25) A AB Tehachapi Wind Farm + Southern California Edison Co + AFCEE MMR Turbines + Distributed generation - net metered + AG Land 1 + Alliant Energy + AG Land 2 + Alliant Energy + AG Land 3 + Alliant Energy + AG Land 4 + Alliant Energy + AG Land 5 + Alliant Energy + AG Land 6 + Alliant Energy + AVTEC + AVTEC + Adair Wind Farm I + Alliant/IES Utilities + Adair Wind Farm II + MidAmerican Energy + Aeroman Repower Wind Farm + Southern California Edison Co + Agassiz Beach Wind Farm + Xcel Energy +

77

Aggregated Purchasing - A Clean Energy Strategy  

NLE Websites -- All DOE Office Websites (Extended Search)

A number of organizations, including municipalities, state and federal agencies, businesses and even religious organizations are leading the way to a renewable energy future by using their collective buying power to purchase green power. The city of Chicago has formed an alliance with 47 other local government agencies to increase their reliance on clean energy sources. As part of this effort, Chicago has installed solar electric systems on a number of the city's buildings, including the Chicago Center for Green Technology shown here. City of Chicago Aggregated Purchasing-A Clean Energy Strategy SOLAR TODAY Aggregated Purchasing-A Clean Energy Strategy by Lori A. Bird and Edward A. Holt November/December 2002 35 Power generated from renewable resources, also known as "green" power, is

78

Green Power Purchasing | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Water Water Buying & Making Electricity Solar Wind Program Info State Maine Program Type Green Power Purchasing In 2003, Maine's governor established a goal for the state government to buy at least 50% of its electricity from "reasonably priced" renewable-power sources, paid for by energy conservation improvements in all state buildings. The goal was contained in the governor's "Vision" for meeting Maine's environmental needs. As of March 2007, Maine's state government was purchasing 100% of its power from renewable energy resources. The state's existing renewable energy portfolio standard accounts for 30% of this total. For the remaining 70%, the state is purchasing renewable-energy credits (RECs) from the Rumford Falls hydropower project in Rumford, Maine.

79

Green Purchasing under DOE Architect Engineer Contracts  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Purchasing under DOE Architect Engineer Contracts Purchasing under DOE Architect Engineer Contracts Prescription for Use: This clause should be used in any architect-engineer type contract unless Leadership in Energy and Environmental Design (LEED) Green Building Certification is being pursued. In case of LEED Certification, a detailed series of energy and environmental standards would take the place of this clause. Section I of the contract should also contain the clauses at FAR 52.223-2, Affirmative Procurement of Biobased Products under Service and Construction Contracts, 52.223-15, Energy Efficiency in Energy Consuming Products, and 52.223-17 Affirmative Procurement of EPA- Designated Items in Service and Construction Contracts. H-xx. Green Purchasing under DOE Architect Engineer Contracts

80

Leveraging Anytime Classifiers to solve POMDPs  

E-Print Network (OSTI)

In the spirit of RL-Classifier reductions [1], we present a method to reduce a specific class of POMDPs to a time-sensitive family of classifiers. POMDPs are in general intractable to solve exactly, so this reduction allows us to solve the full POMDP by using algorithms like Q-learning, which are known to have polynomial convergence time. A great advantage of this approach is that we can exploit classifiers to discretize and approximate the otherwise continuous belief state. The family of classifiers we introduce are so-called anytime classifiers, which guarantee increasing accuracy (decreasing error rate) when given more training data. In real-time reinforcement learning, speed is important, so it is necessary to determine the optimal time to stop training the anytime classifier. This is called the optimal stopping time. We present an algorithm to learn the optimal stopping time for a given anytime classifier and show its connections to neural mechanisms of sensory decision-making. The type of POMDP which can be reduced to an anytime classifier has states which correspond directly to actions augmented by two more actions: continuing and stopping training of the state classifier. The parallels to optimal stopping problems are clear, and we use an extension of Tsitsiklis & Van Roy’s work [2] to derive a learning algorithm for stopping time similar to Q learning. Because all classifiers which are based on calculating the posterior probability using Bayesian models are anytime classifiers (which we show using the Laplace Method), solving this class of POMDP can also be viewed as Bayesian Inference with a stopping rule, with the posterior distribution being parametrized by stopping time.

Erick Chastain; Rajesh Rao

2006-01-01T23:59:59.000Z

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


81

The Opposed Migration Aerosol Classifier (OMAC)  

NLE Websites -- All DOE Office Websites (Extended Search)

The Opposed Migration Aerosol Classifier (OMAC) The Opposed Migration Aerosol Classifier (OMAC) Speaker(s): Harmony Gates Date: February 22, 2007 - 12:00pm Location: 90-4133 Seminar Host/Point of Contact: Melissa Lunden A new differential mobility classifier will be described. The instrument classifies aerosol particles in a channel flow between porous (or screen) electrodes. The aerosol enters the channel parallel to the porous electrodes, while a larger, particle-free cross-flow enters through one of the porous electrode. A potential difference between electrodes causes the charged aerosol particles to migrate upstream against the cross-flow. Only particles whose upward migration velocity balances the cross flow will be transmitted along the path of the classifier. Simulations of the OMAC show that it should give the same resolution at the traditional

82

Purchase, Delivery, and Storage of Gases  

NLE Websites -- All DOE Office Websites (Extended Search)

Purchase, Delivery, and Storage of Gases Print Purchase, Delivery, and Storage of Gases Print ALS users should follow Berkeley Lab policy, as described below, for the purchase, delivery, storage, and use of all gases at the ALS. See Shipping and Receiving for information on any non-gas deliveries. Contacts: Gas purchase or delivery: ALS Receiving, 510-486-4494 Gas use and storage: Experiment Coordination, 510-486-7222, This e-mail address is being protected from spambots. You need JavaScript enabled to view it Gas Storage: Berkeley Lab Chemical Inventory All gas bottles and cylinders at the ALS must be identified with bar code and logged into the Berkeley Lab Chemical Inventory by ALS staff. The inventory will be updated periodically; for more information contact Experiment Coordination. Gases are stored either in the racks between buildings 6 and 7; toxic and corrosive gases are stored in Building 6, room 6C across the walkway from beamline 10.0.

83

Purchase Card Policies for Hq | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Services » Procurement Services » Purchase Card Policies for Hq Services » Procurement Services » Purchase Card Policies for Hq Purchase Card Policies for Hq HQ Procurement Services Policies & Operating Procedures Table of Contents PURPOSE RESPONSIBILITIES PERSONAL PROPERTY MANAGEMENT AND PROPERTY ACCOUNTABILITY ADDITIONAL PROHIBITIONS AND RESTRICTIONS PURCHASE CARD FINANCIAL PROCEDURES EMPLOYEES TRANSFERRING WITHIN HEADQUARTERS PROGRAM SUPPORT ADDITIONAL CARDHOLDER AND APPROVING OFFICIAL TRAINING USE OF PRIVATE SECTOR TEMPORARIES STRIPES Purpose To establish Headquarters Procurement Services Policies and Operating Procedures for the use of the Government purchase card at Department of Energy (DOE) - Headquarters (HQ). These Policies supplement the "Policy and Operating Procedures for Use of the GSA SmartPay Purchase

84

Montgomery County - Green Power Purchasing | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Montgomery County - Green Power Purchasing Montgomery County - Green Power Purchasing Montgomery County - Green Power Purchasing < Back Eligibility Local Government Savings Category Bioenergy Buying & Making Electricity Solar Water Wind Program Info State Maryland Program Type Green Power Purchasing Provider Montgomery County In October 2000, a group six county agencies, consisting of Montgomery County, Montgomery County Public Schools, Montgomery County Housing Opportunities Commission, Montgomery College, the Washington Suburban Sanitary Commission, and the Maryland-National Capital Park and Planning Commission, began purchasing power on a competitive basis. In March 2003, the county's energy policy was amended to incorporate the purchase of renewable energy and to expand energy-efficiency efforts. This resolution

85

Classifiers fusion in recognition of wheat varieties  

Science Conference Proceedings (OSTI)

Five wheat varieties (Bezostaja, Çesit1252, Da?das, Gerek, Kiziltan traded in Konya Exchange of Commerce, Turkey), characterized by nine geometric and three colour descriptive features have been classified by multiple classier system where ...

Sarunas Raudys; Ömer Kaan Baykan; Ahmet Babalik; Vitalij Denisov; Antanas Andrius Bielskis

2007-05-01T23:59:59.000Z

86

Resources on Purchasing Renewable Power | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Resources on Purchasing Renewable Power Resources on Purchasing Renewable Power Resources on Purchasing Renewable Power October 7, 2013 - 9:44am Addthis Many helpful resources about purchasing renewable power are available. Publications Renewable Energy Certificate (REC) Quick Guide: Guide for Federal agencies considering renewable energy certificate (REC) purchases to fulfill Federal renewable energy requirements. Guide to Purchasing Green Power: Guide for organizations considering the merits of buying green power, as well as those that have decided to buy green power but need help with the purchasing process. Renewable Resources for Federal Agencies: Brochure describing the Western Area Power Administration's program for purchasing power from renewable energy resources. Presentations Renewable Energy Certificate (REC) Tracking Systems: Costs & Verification

87

Federal Energy Management Program: On-Site Renewable Power Purchase  

NLE Websites -- All DOE Office Websites (Extended Search)

On-Site Renewable On-Site Renewable Power Purchase Agreements to someone by E-mail Share Federal Energy Management Program: On-Site Renewable Power Purchase Agreements on Facebook Tweet about Federal Energy Management Program: On-Site Renewable Power Purchase Agreements on Twitter Bookmark Federal Energy Management Program: On-Site Renewable Power Purchase Agreements on Google Bookmark Federal Energy Management Program: On-Site Renewable Power Purchase Agreements on Delicious Rank Federal Energy Management Program: On-Site Renewable Power Purchase Agreements on Digg Find More places to share Federal Energy Management Program: On-Site Renewable Power Purchase Agreements on AddThis.com... Energy Savings Performance Contracts ENABLE Utility Energy Service Contracts On-Site Renewable Power Purchase Agreements

88

Vehicle Technologies Office: Fact #417: March 27, 2006 Why Purchase...  

NLE Websites -- All DOE Office Websites (Extended Search)

17: March 27, 2006 Why Purchase a Hybrid Vehicle? to someone by E-mail Share Vehicle Technologies Office: Fact 417: March 27, 2006 Why Purchase a Hybrid Vehicle? on Facebook Tweet...

89

Purchase of High Performance Computing (HPC) Central Compute Resources  

E-Print Network (OSTI)

Purchase of High Performance Computing (HPC) Central Compute Resources by Northwestern Researchers summarizes High Performance Computing (HPC) compute resources that faculty engaged in research may purchase of code on the Quest high performance computing system. The installation cycles for new

Shull, Kenneth R.

90

What Is Your Latest Energy Efficient Purchase? | Department of...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Latest Energy Efficient Purchase? What Is Your Latest Energy Efficient Purchase? February 10, 2011 - 6:30am Addthis On Tuesday, Andrea told us about her new door and the research...

91

High Performance Windows Volume Purchase: NewsDetail  

NLE Websites -- All DOE Office Websites (Extended Search)

NewsDetail to someone by E-mail Share High Performance Windows Volume Purchase: NewsDetail on Facebook Tweet about High Performance Windows Volume Purchase: NewsDetail on Twitter...

92

City of Madison - Green Power Purchasing | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Madison - Green Power Purchasing Madison - Green Power Purchasing City of Madison - Green Power Purchasing < Back Eligibility Local Government Savings Category Biofuels Alternative Fuel Vehicles Bioenergy Solar Buying & Making Electricity Wind Program Info State Wisconsin Program Type Green Power Purchasing Provider City of Madison In 1999, Madison's Metro Maintenance and Administration Facility began purchasing 25% of its electricity from Madison Gas and Electric's wind power program. The additional cost to purchase the wind power is approximately $26,000 per year. Metro officials estimate that their wind power purchase is equivalent to running ten buses per year with no carbon monoxide emissions. In 2005, the city established a goal to increase the entire city's electricity purchases to 10% renewable energy by 2006 and

93

Make the Most of Your Purchasing Power  

E-Print Network (OSTI)

The expansion and maintenance of building systems on educational campuses require huge financial expenditures. Public schools and colleges must make the most of each available dollar. The combination of effective building systems master planning and purchasing standardization program management (PSPM) maximizes purchasing power. Proper building systems master planning helps owners get what they want from buildings with greater opportunity for success. Master planning yields benefits in budgeting, staffing, equipment, and opportunities for standardization. PSPM is a strategy utilizing the “buy now-pay later” concept. Equipment is pre-selected and prepriced for projects as outlined in building systems master plans, and, frequently, in bond programs. Bulk purchasing and standardization, while normally thought of in reference to office and cleaning supplies, can also be applied to big-ticket items. The result is reduced first costs and a domino effect of other savings. Case studies will be presented from Texas school districts that demonstrate successful building systems master planning and PSPM programs. The authors' experience in assisting Texas ISDs implement these programs will also be shared.

Bristow, G.; Clendenin, M.; McClure, J. D.

2004-01-01T23:59:59.000Z

94

Table 23. Domestic Crude Oil First Purchase Prices by API ...  

U.S. Energy Information Administration (EIA)

23. Domestic Crude Oil First Purchase Prices by API Gravity Energy Information Administration / Petroleum Marketing Annual 1996 45. Created Date:

95

Executive Order 12968 Access to Classified Information  

NLE Websites -- All DOE Office Websites (Extended Search)

40243 40243 Monday August 7, 1995 Part IV The President Executive Order 12968-Access to Classified Information Presidential Determination No. 95-32 of July 28, 1995 Presidential Determination No. 95-33 of July 31, 1995 Presidential Documents 40245 Federal Register Vol. 60, No. 151 Monday, August 7, 1995 Title 3- The President Executive Order 12968 of August 2, 1995 Access to Classified Information The national interest requires that certain information be maintained in confidence through a system of classification in order to protect our citizens, our democratic institutions, and our participation within the community of nations. The unauthorized disclosure of information classified in the national interest can cause irreparable damage to the national security and loss of human life.

96

Cascaded Multiple Classifiers for Secondary Structure Prediction  

E-Print Network (OSTI)

We describe a new classifier for protein secondary structure prediction which is formed by cascading together different types of classifiers using neural networks and linear discrimination. The new classifier achieves an accuracy of 76.7% (assessed by a rigorous full Jack-knife procedure) on a new non-redundant dataset of 496 non-homologous sequences (obtained from G.J. Barton and J.A. Cuff). This database was especially designed to train and test protein secondary structure prediction methods, and it uses a more stringent definition of homologous sequence than in previous studies. We show that it is possible to design classifiers which can highly discriminate the 3 classes (H, E, C) with an accuracy of up to 78% for b-strands, using only a local window and resampling techniques. This indicates that the importance of long range interactions for the prediction of b-strands has been previously overestimated. 2 Introduction Although the protein folding process may require catalysts suc...

Mohammed Ouali; Ross D. King

2000-01-01T23:59:59.000Z

97

Extracting and classifying Urdu multiword expressions  

Science Conference Proceedings (OSTI)

This paper describes a method for automatically extracting and classifying multiword expressions (mWEs) for Urdu on the basis of a relatively small unannotated corpus (around 8.12 million tokens). The mWEs are extracted by an unsupervised method and ...

Annette Hautli; Sebastian Sulger

2011-06-01T23:59:59.000Z

98

Gas Purchasing Strategies for the '90s  

E-Print Network (OSTI)

The purpose of my talk today is to: 1. provide a brief summary of the structural changes which have occurred in the natural gas market over the last several years 2. discuss some of the effects of these changes and some of the potential issues that could result from these changes, and 3. finally to offer some advice on how to develop an effective strategy for purchasing natural gas in the '90s given these changes. To set the stage for my talk today, I need to give you some of the more significant facts relative to our Company and its use of natural gas. Houston Lighting & Power Company (HL&P) is an investor-owned electric utility which serves the city of Houston and the surrounding area. This area is highly industrialized and home to a significant portion of the nation's refining in petrochemical capacity. HL&P has 12,855 MW of generating capacity and sells approximately 25% of Texas' total electric utility sales. As a gas purchaser, HL&P is situated in "pipeline alley" and now has pipeline connections to eight different pipelines and, as a result, access to virtually every major pipeline system that operates within the state of Texas.

Schuler, S. H.

1989-09-01T23:59:59.000Z

99

Disassembly and Sanitization of Classified Matter  

Science Conference Proceedings (OSTI)

The Disassembly Sanitization Operation (DSO) process was implemented to support weapon disassembly and disposition by using recycling and waste minimization measures. This process was initiated by treaty agreements and reconfigurations within both the DOD and DOE Complexes. The DOE is faced with disassembling and disposing of a huge inventory of retired weapons, components, training equipment, spare parts, weapon maintenance equipment, and associated material. In addition, regulations have caused a dramatic increase in the need for information required to support the handling and disposition of these parts and materials. In the past, huge inventories of classified weapon components were required to have long-term storage at Sandia and at many other locations throughout the DoE Complex. These materials are placed in onsite storage unit due to classification issues and they may also contain radiological and/or hazardous components. Since no disposal options exist for this material, the only choice was long-term storage. Long-term storage is costly and somewhat problematic, requiring a secured storage area, monitoring, auditing, and presenting the potential for loss or theft of the material. Overall recycling rates for materials sent through the DSO process have enabled 70 to 80% of these components to be recycled. These components are made of high quality materials and once this material has been sanitized, the demand for the component metals for recycling efforts is very high. The DSO process for NGPF, classified components established the credibility of this technique for addressing the long-term storage requirements of the classified weapons component inventory. The success of this application has generated interest from other Sandia organizations and other locations throughout the complex. Other organizations are requesting the help of the DSO team and the DSO is responding to these requests by expanding its scope to include Work-for- Other projects. For example, Pantex personnel have asked the DSO team to assist them with the destruction of their stored classified components. The DSO process is in full-scale operation and continues to grow and serve SNL/NM and DOE by providing a solution to this evolving disposal issue. For some time, SNL has incurred significant expenses for the management and storage of classified components. This project is estimated to save DOE and Sandia several hundreds of thousands of dollars while the excess inventory is eliminated. This innovative approach eliminates the need for long-term storage of classified weapons components and the associated monitoring and accounting expenditures.

Stockham, Dwight J.; Saad, Max P. [Sandia National Laboratories, P.O. Box 5800-1151, Albuquerque, NM, 87185 (United States)

2008-01-15T23:59:59.000Z

100

Audit Report, Evaluation of Classified Information Systems Security...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Report, Evaluation of Classified Information Systems Security Program, DOEIG-0518 Audit Report, Evaluation of Classified Information Systems Security Program, DOEIG-0518 All...

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


101

Classified Reading Room Instructions/Guidelines  

NLE Websites -- All DOE Office Websites (Extended Search)

Classified Reading Room Instructions/Guidelines Classified Reading Room Instructions/Guidelines * Reading Room Points of Contact: Milesha Grier, (202) 586-8210, milesha.gier@nnsa.doe.gov Reading Room Location: DOE Forrestal Building, 1000 Independence Ave., Washington, D.C. Room 4A-045, 4 th Floor, "A" Corridor, Behind Glass Doors, dial 6-8210 Reading Room Availability: By Appointment - Reading Room will be available until RFP Closes except (12/5/11 thru 12/16/11, December 23, January 2, 2012 and January 16, 2012). Reading Room Hours: Morning, 9:00 a.m. - 11:30 a.m.; and Afternoon 1:00 p.m. - 3:30 p.m. Reading Room Will Accommodate: Up to 5-6 people * All personnel must: a. submit a formal Intent to Bid IAW Section L of the RFP, via email to: SEB1@doeal.gov

102

Semantic Features for Classifying Referring Search Terms  

SciTech Connect

When an internet user clicks on a result in a search engine, a request is submitted to the destination web server that includes a referrer field containing the search terms given by the user. Using this information, website owners can analyze the search terms leading to their websites to better understand their visitors needs. This work explores some of the features that can be used for classification-based analysis of such referring search terms. We present initial results for the example task of classifying HTTP requests countries of origin. A system that can accurately predict the country of origin from query text may be a valuable complement to IP lookup methods which are susceptible to the obfuscation of dereferrers or proxies. We suggest that the addition of semantic features improves classifier performance in this example application. We begin by looking at related work and presenting our approach. After describing initial experiments and results, we discuss paths forward for this work.

May, Chandler J.; Henry, Michael J.; McGrath, Liam R.; Bell, Eric B.; Marshall, Eric J.; Gregory, Michelle L.

2012-05-11T23:59:59.000Z

103

City of Boulder - Green Power Purchasing | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

City of Boulder - Green Power Purchasing City of Boulder - Green Power Purchasing City of Boulder - Green Power Purchasing < Back Eligibility Local Government Savings Category Wind Buying & Making Electricity Program Info State Colorado Program Type Green Power Purchasing Provider City of Boulder The City of Boulder purchases a portion of its electricity supply from wind power through Xcel Energy's Windsource program and Renewable Choice Energy, headquartered in Colorado. Boulder purchases approximately 470,000 kWh annually to provide clean power for its municipal buildings. Boulder also installed a solar water heating system with 128 thermal panels on one of its city-owned pools. The city now has 1,955 kilowatts (kW) of photovoltaics installed with an additional 349 kW planned. These efforts

104

Large Industrial Renewable Energy Purchase Program (New Brunswick) |  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Large Industrial Renewable Energy Purchase Program (New Brunswick) Large Industrial Renewable Energy Purchase Program (New Brunswick) Large Industrial Renewable Energy Purchase Program (New Brunswick) < Back Eligibility Agricultural Commercial Developer Industrial Investor-Owned Utility Local Government Municipal/Public Utility Rural Electric Cooperative Tribal Government Utility Savings Category Buying & Making Electricity Water Home Weatherization Solar Wind Program Info State New Jersey Program Type Performance-Based Incentive Provider New Brunswick Energy and Mines Beginning January 1, 2012 the Large Industrial Renewable Energy Purchase Program allows NB Power to purchase renewable energy generated by its largest customers at a rate of $95/MWh. This renewable energy will count towards meeting the Province's renewable energy targets at a purchase

105

High Performance Windows Volume Purchase: For Light Commercial Buyers  

NLE Websites -- All DOE Office Websites (Extended Search)

For Light For Light Commercial Buyers to someone by E-mail Share High Performance Windows Volume Purchase: For Light Commercial Buyers on Facebook Tweet about High Performance Windows Volume Purchase: For Light Commercial Buyers on Twitter Bookmark High Performance Windows Volume Purchase: For Light Commercial Buyers on Google Bookmark High Performance Windows Volume Purchase: For Light Commercial Buyers on Delicious Rank High Performance Windows Volume Purchase: For Light Commercial Buyers on Digg Find More places to share High Performance Windows Volume Purchase: For Light Commercial Buyers on AddThis.com... Home About For Builders For Residential Buyers For Light Commercial Buyers For Manufacturers For Utilities Information Resources For Light Commercial Buyers Significant energy savings from low-E window technology are possible in the

106

Purchased Gas Adjustment Rules (Tennessee) | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Purchased Gas Adjustment Rules (Tennessee) Purchased Gas Adjustment Rules (Tennessee) Purchased Gas Adjustment Rules (Tennessee) < Back Eligibility Commercial Developer Fuel Distributor General Public/Consumer Industrial Installer/Contractor Investor-Owned Utility Rural Electric Cooperative Utility Program Info State Tennessee Program Type Generating Facility Rate-Making Industry Recruitment/Support Provider Tennessee Regulatory Authority The Purchased Gas Adjustment Rules are implemented by the Tennessee Regulatory Authority (Authority). Purchased Gas Adjustment (PGA) Rules are intended to permit the company/LDC (local gas distribution company regulated by the Authority) to recover, in timely fashion, the total cost of gas purchased for delivery to its customers and to assure that the Company does not over-collect or under-collect Gas Costs from its

107

High Performance Windows Volume Purchase: Presentations for Past Events and  

NLE Websites -- All DOE Office Websites (Extended Search)

Presentations for Past Events and Webinars to someone by E-mail Share High Performance Windows Volume Purchase: Presentations for Past Events and Webinars on Facebook Tweet about High Performance Windows Volume Purchase: Presentations for Past Events and Webinars on Twitter Bookmark High Performance Windows Volume Purchase: Presentations for Past Events and Webinars on Google Bookmark High Performance Windows Volume Purchase: Presentations for Past Events and Webinars on Delicious Rank High Performance Windows Volume Purchase: Presentations for Past Events and Webinars on Digg Find More places to share High Performance Windows Volume Purchase: Presentations for Past Events and Webinars on AddThis.com... Home About For Builders For Residential Buyers For Light Commercial Buyers

108

Federal Energy Management Program: On-Site Renewable Power Purchase  

NLE Websites -- All DOE Office Websites (Extended Search)

On-Site Renewable Power Purchase Agreements On-Site Renewable Power Purchase Agreements Graphic of the eTraining logo Training Available Federal On-Site Renewable Power Purchase Agreements: Learn how to develop an on-site renewable Power Purchase Agreement (PPA) by taking this FEMP eTraining course. At a Glance Power purchase agreements feature a variety of benefits and considerations for Federal agencies, including: Benefits: No up-front capital costs Ability to monetize tax incentives Typically a known, long-term energy price No operations and maintenance responsibilities Minimal risk to the agency Considerations: Federal sector experience with PPAs is still growing Contract term limitations Inherent transaction costs Challenges with site access contracts and concerns On-site renewable power purchase agreements (PPAs) allow Federal agencies to fund on-site renewable energy projects with no up-front capital costs incurred.

109

City of Santa Monica - Green Power Purchasing | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Green Power Purchasing Green Power Purchasing City of Santa Monica - Green Power Purchasing < Back Eligibility Local Government Savings Category Bioenergy Buying & Making Electricity Program Info State California Program Type Green Power Purchasing Provider City of Santa Monica The City of Santa Monica made history June 1, 1999, as green electricity began powering all municipal facilities -- including the Santa Monica Airport, City Hall and the Santa Monica Pier -- making it the first city in the world to switch to 100% renewable resources to meet the power needs of city facilities. Under the contract, the city purchases approximately 5MW of renewables. The proposed purchase is equivalent to the amount of electricity used by 5,000 to 6,000 homes. Commerce Energy (formerly "Commonwealth Energy") currently provides the

110

Idaho Public Utilities Commission Approves Neal Hot Springs Power Purchase  

Open Energy Info (EERE)

Idaho Public Utilities Commission Approves Neal Hot Springs Power Purchase Idaho Public Utilities Commission Approves Neal Hot Springs Power Purchase Agreement Jump to: navigation, search OpenEI Reference LibraryAdd to library Report: Idaho Public Utilities Commission Approves Neal Hot Springs Power Purchase Agreement Abstract N/A Author U.S. Geothermal Inc. Published Publisher Not Provided, 2010 Report Number N/A DOI Not Provided Check for DOI availability: http://crossref.org Online Internet link for Idaho Public Utilities Commission Approves Neal Hot Springs Power Purchase Agreement Citation U.S. Geothermal Inc.. 2010. Idaho Public Utilities Commission Approves Neal Hot Springs Power Purchase Agreement. Boise Idaho: (!) . Report No.: N/A. Retrieved from "http://en.openei.org/w/index.php?title=Idaho_Public_Utilities_Commission_Approves_Neal_Hot_Springs_Power_Purchase_Agreement&oldid=682748"

111

High Performance Windows Volume Purchase: For Residential Buyers  

NLE Websites -- All DOE Office Websites (Extended Search)

Residential Buyers to someone by E-mail Residential Buyers to someone by E-mail Share High Performance Windows Volume Purchase: For Residential Buyers on Facebook Tweet about High Performance Windows Volume Purchase: For Residential Buyers on Twitter Bookmark High Performance Windows Volume Purchase: For Residential Buyers on Google Bookmark High Performance Windows Volume Purchase: For Residential Buyers on Delicious Rank High Performance Windows Volume Purchase: For Residential Buyers on Digg Find More places to share High Performance Windows Volume Purchase: For Residential Buyers on AddThis.com... Home About For Builders For Residential Buyers For Light Commercial Buyers For Manufacturers For Utilities Information Resources For Residential Buyers Both home owners and buyers can take advantage of the energy savings from

112

Chromatin States Accurately Classify Cell Differentiation Stages  

E-Print Network (OSTI)

Gene expression is controlled by the concerted interactions between transcription factors and chromatin regulators. While recent studies have identified global chromatin state changes across cell-types, it remains unclear to what extent these changes are co-regulated during cell-differentiation. Here we present a comprehensive computational analysis by assembling a large dataset containing genome-wide occupancy information of 5 histone modifications in 27 human cell lines (including 24 normal and 3 cancer cell lines) obtained from the public domain, followed by independent analysis at three different representations. We classified the differentiation stage of a cell-type based on its genome-wide pattern of chromatin states, and found that our method was able to identify normal cell lines with nearly 100 % accuracy. We then applied our model to classify the cancer cell lines and found that each can be unequivocally classified as differentiated cells. The differences can be in part explained by the differential activities of three regulatory modules associated with embryonic stem cells. We also found that the ‘‘hotspot’ ’ genes, whose chromatin states change dynamically in accordance to the differentiation stage, are not randomly distributed across the genome but tend to be embedded in multi-gene chromatin

Jessica L. Larson; Guo-cheng Yuan

2012-01-01T23:59:59.000Z

113

Purchase energy-saving products | ENERGY STAR Buildings & Plants  

NLE Websites -- All DOE Office Websites (Extended Search)

Purchase energy-saving products Purchase energy-saving products Secondary menu About us Press room Contact Us Portfolio Manager Login Facility owners and managers Existing buildings Commercial new construction Industrial energy management Small business Service providers Service and product providers Verify applications for ENERGY STAR certification Design commercial buildings Energy efficiency program administrators Commercial and industrial program sponsors Associations State and local governments Federal agencies Tools and resources Training In this section Learn the benefits Get started Use Portfolio Manager Save energy Stamp out energy waste Find cost-effective investments Engage occupants Purchase energy-saving products Purchasing and procurement case studies Put computers to sleep Get help from an expert

114

Kansas Crude Oil First Purchase Price (Dollars per Barrel)  

U.S. Energy Information Administration (EIA)

Release Date: 11/1/2013: Next Release Date: 12/2/2013: Referring Pages: Domestic Crude Oil First Purchase Prices by Area

115

Wyoming Crude Oil First Purchase Price (Dollars per Barrel)  

U.S. Energy Information Administration (EIA)

96.51: 97.39-= No Data Reported; --= Not Applicable; NA = Not Available; ... Domestic Crude Oil First Purchase Prices by Area ...

116

North Dakota Crude Oil First Purchase Price (Dollars per ...  

U.S. Energy Information Administration (EIA)

Release Date: 1/2/2014: Next Release Date: 2/3/2014: Referring Pages: Domestic Crude Oil First Purchase Prices by Area

117

Texas Crude Oil First Purchase Price (Dollars per Barrel)  

U.S. Energy Information Administration (EIA)

Release Date: 10/1/2013: Next Release Date: 11/1/2013: Referring Pages: Domestic Crude Oil First Purchase Prices by Area

118

Crude Oil Prices Table 21. Domestic Crude Oil First Purchase...  

Gasoline and Diesel Fuel Update (EIA)

Information Administration Petroleum Marketing Annual 1995 41 Table 21. Domestic Crude Oil First Purchase Prices (Dollars per Barrel) - Continued Year Month PAD District II...

119

City of Houston - Green Power Purchasing | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

January 2009 and December 2012, Houston has captured the second spot on the EPA's list of green energy purchases by local governments. http:www.dsireusa.orgincentives...

120

West Texas Intermediate First Purchase Price (Dollars per Barrel)  

U.S. Energy Information Administration (EIA)

Release Date: 7/1/2013: Next Release Date: 8/1/2013: Referring Pages: Domestic Crude Oil First Purchase Prices for Selected Crude Streams

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


121

City of Palo Alto Utilities - Renewable Energy Credit Purchase...  

Open Energy Info (EERE)

commercial and industrial customers for the purchase of the SRECs associated with their solar installations. CPAU currently pays 50MWh for SRECs through 3 Degrees, Inc and...

122

EIA-182 DOMESTIC CRUDE OIL FIRST PURCHASE REPORT INSTRUCTIONS  

U.S. Energy Information Administration (EIA)

average wellhead price for selected domestic crude oil streams aggregated by State. First purchase volumes are also used in ... such as butane and

123

GovEnergy 2008 Session Presentation on Power Purchase Agreements  

Energy.gov (U.S. Department of Energy (DOE))

Presentation describes an overview of power purchase agreements given at GovEnergy 2008. The document includes several case studies and considerations for Federal agencies.

124

City of Madison - Green Power Purchasing | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

1999, Madison's Metro Maintenance & Administration Facility began purchasing 25% of its electricity from Madison Gas & Electric's wind power program. The additional cost to...

125

On EOQ Cost Models with Arbitrary Purchase and Transportation ...  

E-Print Network (OSTI)

Abstract: We analyze an economic order quantity cost model with unit ... For the remaining purchase-transportation cost functions, when this problem becomes a  ...

126

Highly Insulating Windows Volume Purchase Program Final Report  

SciTech Connect

This report summarizes the Highly Insulating Windows Volume Purchase Program, conduced by PNNL for DOE-BTP, including a summary of outcomes and lessons learned.

Parker, Graham B.; Mapes, Terry S.; Zalis, WJ

2013-02-01T23:59:59.000Z

127

Colorado Crude Oil First Purchase Price (Dollars per Barrel)  

U.S. Energy Information Administration (EIA)

Release Date: 10/1/2013: Next Release Date: 11/1/2013: Referring Pages: Domestic Crude Oil First Purchase Prices by Area

128

Revisiting the Income Effect: Gasoline Prices and Grocery Purchases  

E-Print Network (OSTI)

On Sale Residuals Log Gas Price Residuals Week Log %On Sale Residuals Log Gas Price Residuals Week Log %On Sale Residuals Log Gas Price Residuals Log % Purchased On

Gicheva, Dora; Hastings, Justine; Villas-Boas, Sofia B

2008-01-01T23:59:59.000Z

129

Michigan Crude Oil First Purchase Price (Dollars per Barrel)  

U.S. Energy Information Administration (EIA)

Release Date: 10/1/2013: Next Release Date: 11/1/2013: Referring Pages: Domestic Crude Oil First Purchase Prices by Area

130

New Mexico Crude Oil First Purchase Price (Dollars per Barrel)  

U.S. Energy Information Administration (EIA)

Release Date: 11/1/2013: Next Release Date: 12/2/2013: Referring Pages: Domestic Crude Oil First Purchase Prices by Area

131

STANDARD TERMS OF PURCHASE APPLICABLE TO SUPPLY AND SERVICES CONTRACTS  

E-Print Network (OSTI)

STANDARD TERMS OF PURCHASE APPLICABLE TO SUPPLY AND SERVICES CONTRACTS ENTERED INTO BY INSTITUT DE PHYSIQUE DU GLOBE DE PARIS Article 1 ­ Scope of application of these terms The purpose of these standard terms of purchase is to define the framework of the contractual relationship between the IPGP and its co

Benzerara, Karim

132

City of Philadelphia - Green Power Purchasing | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Philadelphia - Green Power Purchasing Philadelphia - Green Power Purchasing City of Philadelphia - Green Power Purchasing < Back Eligibility Local Government Savings Category Water Buying & Making Electricity Solar Home Weatherization Wind Bioenergy Program Info State Pennsylvania Program Type Green Power Purchasing Provider Mayor's Office of Sustainability Philadelphia has committed to purchasing green power to supply 20% of the city's electricity by 2015.* In doing so, the city is exceeding the Pennsylvania Alternative Energy Portfolio Standard, which requires 11.2% renewables and "alternative" energy resources by 2015. Philadelphia also has a goal of producing 57.7 megawatts (MW) of solar power by 2021, of which 3.8 MW is currently on-line. The city's [http://www.phila.gov/green/pdfs/GW2012Report.pdf 2012 Greenworks Progress

133

On-Site Renewable Power Purchase Agreements | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Project Funding » On-Site Renewable Power Purchase Agreements Project Funding » On-Site Renewable Power Purchase Agreements On-Site Renewable Power Purchase Agreements October 7, 2013 - 3:35pm Addthis On-site renewable power purchase agreements (PPAs) allow Federal agencies to fund on-site renewable energy projects with no up-front capital costs incurred. With a PPA, a developer installs a renewable energy system on agency property under an agreement that the agency will purchase the power generated by the system. The agency pays for the system through these power payments over the life of the contract. After installation, the developer owns, operates, and maintains the system for the life of the contract. For more information, read the Federal Energy Mangement Program's (FEMP) introductory guide to PPAs and sample documents.

134

On-Site Renewable Power Purchase Agreements | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

On-Site Renewable Power Purchase Agreements On-Site Renewable Power Purchase Agreements On-Site Renewable Power Purchase Agreements October 16, 2013 - 5:09pm Addthis An on-site renewable power purchase agreement (PPA) enables Federal agencies to fund a renewable energy project by contracting to purchase the power generated by the system. The renewable energy equipment is installed and owned by a developer but located on-site at the agency facility. As noted in the renewable energy project funding overview, PPAs provide a range of attractive benefits to Federal agencies trying to access renewable energy. These include no up-front capital costs; the ability to monetize tax incentives; typically a known, long-term energy price; no operations and maintenance (O&M) responsibilities; and minimal risk to the agency.

135

Building Technologies Office: High Performance Windows Volume Purchase  

NLE Websites -- All DOE Office Websites (Extended Search)

High Performance Windows Volume Purchase High Performance Windows Volume Purchase DOE's Building Technologies Office (BTO) is coordinating a volume purchase of high performance windows, and low-e storm windows, to expand the market of these high efficiency products. Price is the principal barrier to more widespread market commercialization. The aim of this volume purchase initiative is to work with industry and potential buyers to make highly insulated windows more affordable. Announcement EPA Most Efficient Program for window technology to launched in January 2013. Program Highlights Features Image of person signing document. Volume Purchase RFP Arrow Image of a question mark. Frequently Asked Questions Arrow Image of low-e storm window with two orange-yellow arrows hitting the window and reflecting back inside. Building Envelope and Windows R&D Program Blog Arrow

136

City of Boston - Green Power Purchasing | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Boston - Green Power Purchasing Boston - Green Power Purchasing City of Boston - Green Power Purchasing < Back Eligibility Local Government Savings Category Bioenergy Alternative Fuel Vehicles Hydrogen & Fuel Cells Solar Buying & Making Electricity Water Wind Program Info State Massachusetts Program Type Green Power Purchasing Provider City of Boston Environment Department In April 2007, Boston Mayor Thomas Menino issued an executive order that established a green power purchasing goal of 11% for the city government, effective immediately, and a goal of 15% by 2012. The executive order also requires all existing municipal properties to be evaluated for the feasibility of installing solar, wind, bio-energy, combined heat and power (CHP), and green roofs. (The executive order updated an announcement by

137

The Greenhouse Gas Protocol Initiative: GHG Emissions from Purchased  

Open Energy Info (EERE)

The Greenhouse Gas Protocol Initiative: GHG Emissions from Purchased The Greenhouse Gas Protocol Initiative: GHG Emissions from Purchased Electricity Jump to: navigation, search Tool Summary Name: The Greenhouse Gas Protocol Initiative: GHG Emissions from Purchased Electricity Agency/Company /Organization: World Resources Institute, World Business Council for Sustainable Development Sector: Energy, Climate Focus Area: Buildings, Greenhouse Gas Phase: Determine Baseline, Evaluate Effectiveness and Revise as Needed Resource Type: Software/modeling tools User Interface: Spreadsheet Website: www.ghgprotocol.org/calculation-tools/all-tools Cost: Free References: Electricity Heat, and Steam Purchase Guidance v1.2[1] The Greenhouse Gas Protocol tool for purchased electricity is a free Excel spreadsheet calculator designed to calculate GHG emissions specifically

138

City of Aspen - Green Power Purchasing | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

City of Aspen - Green Power Purchasing City of Aspen - Green Power Purchasing City of Aspen - Green Power Purchasing < Back Eligibility Local Government Savings Category Water Buying & Making Electricity Wind Program Info State Colorado Program Type Green Power Purchasing Provider City of Aspen In 2005, the City of Aspen set a goal to purchase 75% of the city government's energy from renewable sources by 2010. As of December 2006, Aspen had accomplished its goal to provide 75% non-carbon electricity. The city has a new goal of powering 100% of the city-owned buildings with renewable sources by 2020. 27% of the electricity used by the City of Aspen comes from wind turbines located in Kimball, Nebraska. An additional 45% of the City's electricity comes from hydroelectric plants, with an additional plant, the Castle Creek

139

Sample Documents for On-Site Renewable Power Purchase Agreements |  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Funding » On-Site Renewable Power Purchase Agreements » Funding » On-Site Renewable Power Purchase Agreements » Sample Documents for On-Site Renewable Power Purchase Agreements Sample Documents for On-Site Renewable Power Purchase Agreements October 7, 2013 - 3:37pm Addthis The Federal Energy Management Program (FEMP) works with Federal agencies and partners to assemble sample documents from past on-site renewable power purchase agreement (PPA) projects to help streamline the PPA process. Requests for Proposal and Contracts Sample documents are available for the following requests for proposal: Photovoltaics at the Department of Energy's (DOE) Princeton Plasma Physics Laboratory: PPA request for proposal issued by DLA Energy on behalf of Princeton Plasma Physics Laboratory. National Renewable Energy Laboratory (NREL) Photovoltaics Opportunity

140

The New Rules for Purchasing Electric Power  

E-Print Network (OSTI)

"The creation of new rules for purchasing electric power is largely an outgrowth of several recent developments affecting the electric utility business: -deregulation has created a competitive business -demand side management has grown in stature to rival supply side challenges -power rates have become marketing tools These developments affect the industrial sector more than others, largely because of its size and electricity consumption per customer. Industry today sees these changes manifested in a variety of ways, several of which represent alternative power costs. These include: -conventional published tariffs -negotiated rates -utility incentive programs -cogeneration A key conclusion that may be drawn from these trends in that traditional barriers between utilities and industries are breaking down. Utilities are becoming increasingly marketing-oriented rather than sales-driven. Interestingly, the choices available can yield economic benefits on both sides of the meter. This is particularly evident in electric-intensive industries, such as chlor-alkali production or air separation. This paper reviews efforts by selected utilities to work jointly with their industrial customers in simultaneously addressing utility load shaping objectives and industry demands relative to quality of service and cost. Air separation and plastics fabrication are highlighted as two very different kinds of industries that have been addressed by utility-sponsored programs to date."

Stern, K.

1989-09-01T23:59:59.000Z

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


141

Table N13.3. Electricity: Sales to Utility and Nonutility Purchasers, 1998  

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

3. Electricity: Sales to Utility and Nonutility Purchasers, 1998;" 3. Electricity: Sales to Utility and Nonutility Purchasers, 1998;" " Level: National and Regional Data; " " Row: NAICS Codes;" " Column: Utility and Nonutility Purchasers;" " Unit: Million Kilowatthours." " "," ",,,," " " "," ","Total of",,,"RSE" "NAICS"," ","Sales and","Utility","Nonutility","Row" "Code(a)","Subsector and Industry","Transfers Offsite","Purchaser(b)","Purchaser(c)","Factors" ,,"Total United States"

142

Product Purchasing & Procurement template | ENERGY STAR Buildings & Plants  

NLE Websites -- All DOE Office Websites (Extended Search)

Product Purchasing & Procurement template Product Purchasing & Procurement template Secondary menu About us Press room Contact Us Portfolio Manager Login Facility owners and managers Existing buildings Commercial new construction Industrial energy management Small business Service providers Service and product providers Verify applications for ENERGY STAR certification Design commercial buildings Energy efficiency program administrators Commercial and industrial program sponsors Associations State and local governments Federal agencies Tools and resources Training In This Section Campaigns Commercial building design Communications resources Energy management guidance Financial resources Portfolio Manager Products and purchasing Recognition Research and reports Service and product provider (SPP) resources Success stories

143

Technical, Engineering, and Programmatic Support (TEPS) Blanket Purchase  

National Nuclear Security Administration (NNSA)

Technical, Engineering, and Programmatic Support (TEPS) Blanket Purchase Technical, Engineering, and Programmatic Support (TEPS) Blanket Purchase Agreements (BPAs) | National Nuclear Security Administration Our Mission Managing the Stockpile Preventing Proliferation Powering the Nuclear Navy Emergency Response Recapitalizing Our Infrastructure Continuing Management Reform Countering Nuclear Terrorism About Us Our Programs Our History Who We Are Our Leadership Our Locations Budget Our Operations Media Room Congressional Testimony Fact Sheets Newsletters Press Releases Speeches Events Social Media Video Gallery Photo Gallery NNSA Archive Federal Employment Apply for Our Jobs Our Jobs Working at NNSA Blog Technical, Engineering, and Programmatic Support (TEPS) Blanket Purchase Agreements (BPAs) Home > About Us > Our Operations > Acquisition and Project Management >

144

Technical, Engineering, and Programmatic Support (TEPS) Blanket Purchase  

NLE Websites -- All DOE Office Websites (Extended Search)

Technical, Engineering, and Programmatic Support (TEPS) Blanket Purchase Technical, Engineering, and Programmatic Support (TEPS) Blanket Purchase Agreements (BPAs) | National Nuclear Security Administration Our Mission Managing the Stockpile Preventing Proliferation Powering the Nuclear Navy Emergency Response Recapitalizing Our Infrastructure Continuing Management Reform Countering Nuclear Terrorism About Us Our Programs Our History Who We Are Our Leadership Our Locations Budget Our Operations Media Room Congressional Testimony Fact Sheets Newsletters Press Releases Speeches Events Social Media Video Gallery Photo Gallery NNSA Archive Federal Employment Apply for Our Jobs Our Jobs Working at NNSA Blog Technical, Engineering, and Programmatic Support (TEPS) Blanket Purchase Agreements (BPAs) Home > About Us > Our Operations > Acquisition and Project Management >

145

Online Classified or Controlled Information Mini-Lessons | Department of  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Online Classified or Controlled Information Mini-Lessons Online Classified or Controlled Information Mini-Lessons Online Classified or Controlled Information Mini-Lessons These online lessons are short animated lessons to provide you with a quick refresher on some aspect of classified or controlled information. If there is a particular aspect of classified or controlled information you would like addressed in a lesson, please contact the Outreach Program at (301) 903-5767 or outreach@hq.doe.gov. Classified Information Marking Classified Documents: These lessons cover marking derivatively classified documents. Marking Documents Containing RD or FRD How to Fill out the Classification Authority Block when multiple sources are used (for documents containing RD or FRD) Marking Documents Containing NSI How to Fill out the Classification Authority Block when multiple

146

Probability-Enhanced Predictions in the Anticipatory Classifier System  

Science Conference Proceedings (OSTI)

The Anticipatory Classifier System (ACS) recently showed many capabilities new to the Learning Classifier System field. Due to its enhanced rule structure with an effect part, it forms an internal environmental representation, learns latently besides ...

Martin Butz; David E. Goldberg; Wolfgang Stolzmann

2000-09-01T23:59:59.000Z

147

Algorithms for Sparse Linear Classifiers in the Massive Data Setting  

Science Conference Proceedings (OSTI)

Classifiers favoring sparse solutions, such as support vector machines, relevance vector machines, LASSO-regression based classifiers, etc., provide competitive methods for classification problems in high dimensions. However, current algorithms for training ...

Suhrid Balakrishnan; David Madigan

2008-06-01T23:59:59.000Z

148

Acceptance of Classified Excess Components for Disposal at Area 5  

Science Conference Proceedings (OSTI)

This slide-show discusses weapons dismantlement and disposal, issues related to classified waste and their solutions.

Poling, J., and Saad, M.

2012-04-09T23:59:59.000Z

149

Multi-view gender classification using hierarchical classifiers structure  

Science Conference Proceedings (OSTI)

In this paper, we propose a hierarchical classifier structure for gender classification based on facial images by reducing the complexity of the original problem. In the proposed framework, we first train a classifier, which will properly divide the ... Keywords: gender classification, hierarchical classifiers, multi-view facial images

Tian-Xiang Wu; Bao-Liang Lu

2010-11-01T23:59:59.000Z

150

Classifier Ensemble Selection Using Genetic Algorithm for Named Entity Recognition  

Science Conference Proceedings (OSTI)

In this paper, we propose a classifier ensemble technique based on genetic algorithm (GA) for named entity recognition (NER). We assume that the classifiers based on different feature representations can be effectively combined together using GA to achieve ... Keywords: Classifier ensemble, Genetic algorithm, Maximum entropy, Named entity recognition, Natural language processing

Asif Ekbal; Sriparna Saha

2010-03-01T23:59:59.000Z

151

Request for Information: Federal Government Power Purchase Agreements (PPA) Issues  

NLE Websites -- All DOE Office Websites (Extended Search)

Request for Information Request for Information Federal Government Power Purchase Agreements (PPA) Issues BACKGROUND: In order to respond to increasing demand for long term renewable energy, stemming from renewable goals established in the Energy Policy Act of 2005, Executive Order 13423, and the Energy Independence and Security Act of 2007, federal agencies are attempting to facilitate project development and the purchase of electricity from renewable sources on federal facilities. One means of execution is through the use of long term Power Purchase Agreements (PPAs), whereby a third party funds, develops, operates, maintains and owns a renewable energy project, and the Government commits to purchase the renewable power from the project owner. This method reduces the overall risk to the Government, since it will avoid having to build, own and

152

Request for Information: Federal Government Power Purchase Agreements (PPA) Issues  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Request for Information Request for Information Federal Government Power Purchase Agreements (PPA) Issues BACKGROUND: In order to respond to increasing demand for long term renewable energy, stemming from renewable goals established in the Energy Policy Act of 2005, Executive Order 13423, and the Energy Independence and Security Act of 2007, federal agencies are attempting to facilitate project development and the purchase of electricity from renewable sources on federal facilities. One means of execution is through the use of long term Power Purchase Agreements (PPAs), whereby a third party funds, develops, operates, maintains and owns a renewable energy project, and the Government commits to purchase the renewable power from the project owner. This method reduces the overall risk to the Government, since it will avoid having to build, own and

153

Energy Department Issues Tribal Renewable Energy Purchase Guidance and  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Energy Department Issues Tribal Renewable Energy Purchase Guidance Energy Department Issues Tribal Renewable Energy Purchase Guidance and Project Development Resources Energy Department Issues Tribal Renewable Energy Purchase Guidance and Project Development Resources December 5, 2012 - 4:40pm Addthis News Media Contact (202) 586-4940 WASHINGTON - At the White House Tribal Nations Conference today, the Energy Department announced two new initiatives aimed at driving increased energy production and sustainable economic development in Indian Country. As part of the Energy Department's efforts to support Tribal renewable energy production, Energy Secretary Steven Chu issued a policy statement and guidance that gives preference to Indian tribes when its facilities contract to purchase renewable energy products or by products, based on

154

City of Ann Arbor - Green Power Purchasing | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Ann Arbor - Green Power Purchasing Ann Arbor - Green Power Purchasing City of Ann Arbor - Green Power Purchasing < Back Eligibility Local Government Savings Category Bioenergy Solar Buying & Making Electricity Home Weatherization Water Program Info State Michigan Program Type Green Power Purchasing Provider City of Ann Arbor In May 2006, the Ann Arbor City Council adopted a resolution that established a goal of 30% renewable energy for all municipal operations by 2010, with an associated 20% reduction in greenhouse gases. The resolution also established a goal of 20% renewable energy for the entire Ann Arbor community by 2015. In July 2009, the EPA [http://www.a2gov.org/news/Documents/2009_News_Releases/EPA-On-site_Green... announced] that the city of Ann Arbor was among the top-20 users of on-site

155

Pallets of PV: Communities Purchase Solar and Drive Down Costs...  

Open Energy Info (EERE)

Pallets of PV: Communities Purchase Solar and Drive Down Costs Together Home > Groups > OpenEI Community Central Graham7781's picture Submitted by Graham7781(1982) Super...

156

CNR PURCHASING ASSIGNMENTS as of September 27, 2013  

E-Print Network (OSTI)

CNR PURCHASING ASSIGNMENTS as of September 27, 2013 Jessie Jessie Jessie Robin Robin Darshan.talley@ leaf@ leaf@ leaf@ roberson@ 664-4058 664-9469 664-9469 664-9469 664-9466 Beissinger Allen

Wildermuth, Mary C

157

City of Grand Rapids - Green Power Purchasing Policy | Department...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

three-year renewable with http:www.consumersenergy.comcontent.aspx?ID1458 Consumers Energy to purchase Green-e Certified blocks of renewable energy valued at a reduced rate....

158

Minimum Purchase Price Regulations (Prince Edward Island, Canada)  

Energy.gov (U.S. Department of Energy (DOE))

The Minimum Purchase Price Regulations establish the price which utilities must pay for power produced by large-scale renewable energy generators – that is those capable of producing more than 100...

159

City of Evanston - Green Power Purchase (Illinois) | Open Energy...  

Open Energy Info (EERE)

(kWh) of electricity. The RECs purchased are derived from electricity generated by wind turbines. The city has issued a Climate Change Action Plan to chart a path towards...

160

Conway - Green Power Purchasing (South Carolina) | Open Energy...  

Open Energy Info (EERE)

blocks for a premium of 3.00. The price for businesses is based on overall power consumption. "Green Power Partners" are commercial customers who have agreed to purchase a...

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


161

Purchased Energy, Energy Intensity, and Policy Impacts in the...  

NLE Websites -- All DOE Office Websites (Extended Search)

Purchased Energy, Energy Intensity, and Policy Impacts in the U.S. Manufacturing Sector: Tentative Findings Speaker(s): Marvin J. Horowitz Date: July 8, 2011 - 12:00pm Location:...

162

PROGRAM OPPORTUNITY NOTICE Solicitation to Address High Purchase Costs  

E-Print Network (OSTI)

PROGRAM OPPORTUNITY NOTICE Solicitation to Address High Purchase Costs and Disposal Impacts of PEV Battery Packs PON-12-501 http://www.energy.ca.gov/contracts/index.html State of California California.......................................................................................... 19 COST OF DEVELOPING APPLICATION

163

Table 21. Domestic Crude Oil First Purchase Prices  

Gasoline and Diesel Fuel Update (EIA)

18.60 19.11 18.73 18.63 17.97 18.75 18.10 See footnotes at end of table. 21. Domestic Crude Oil First Purchase Prices Energy Information Administration Petroleum Marketing Annual...

164

City of Dallas - Green Energy Purchasing | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

City of Dallas finalized purchase contracts for more than 333 million kilowatt-hours (kWh) of green electricity for city facilities during 2008. The city has elected to continue...

165

City of Chicago - Green Power Purchasing | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

end of 2005. The city reached this goal in 2008, the city with a purchase of 215 million kWh of wind and biomass energy from MidAmerican Energy. The http:www.chicagoclimateactio...

166

South Carolina Municipalities - Green Power Purchasing | Department of  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

South Carolina Municipalities - Green Power Purchasing South Carolina Municipalities - Green Power Purchasing South Carolina Municipalities - Green Power Purchasing < Back Eligibility Local Government Savings Category Bioenergy Solar Buying & Making Electricity Wind Program Info State South Carolina Program Type Green Power Purchasing Provider Santee Cooper Santee Cooper's Green Power Program was launched in September of 2001. All of the state's 20 electric cooperatives and the City of Georgetown participate in the Green Power Program, which is Green-e accredited. The renewable resources sold under the Green Power Program are comprised of 99% landfill gas (methane) and less than 1% solar energy. Santee Cooper is currently using landfill gas (methane) to produce electricity at six facilities in South Carolina: Horry Solid Waste

167

Table A44. Average Prices of Purchased Electricity and Steam  

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

4. Average Prices of Purchased Electricity and Steam" 4. Average Prices of Purchased Electricity and Steam" " by Type of Supplier, Census Region, Census Division, and" " Economic Characteristics of the Establishment, 1994" " (Estimates in Dollars per Physical Units)" ," Electricity",," Steam" ," (kWh)",," (million Btu)" ,,,,,"RSE" ,"Utility","Nonutility","Utility","Nonutility","Row" "Economic Characteristics(a)","Supplier(b)","Supplier(c)","Supplier(b)","Supplier(c)","Factors"

168

Table A39. Total Expenditures for Purchased Electricity and Steam  

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

9. Total Expenditures for Purchased Electricity and Steam" 9. Total Expenditures for Purchased Electricity and Steam" " by Type of Supplier, Census Region, Census Division, and" " Economic Characteristics of the Establishment, 1994" " (Estimates in Million Dollars)" ," Electricity",," Steam" ,,,,,"RSE" ,"Utility","Nonutility","Utility","Nonutility","Row" "Economic Characteristics(a)","Supplier(b)","Supplier(c)","Supplier(b)","Supplier(c)","Factors" ,"Total United States" "RSE Column Factors:",0.3,2,1.6,1.2

169

Table 7.9 Expenditures for Purchased Energy Sources, 2002  

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

9 Expenditures for Purchased Energy Sources, 2002;" 9 Expenditures for Purchased Energy Sources, 2002;" " Level: National and Regional Data;" " Row: NAICS Codes; Column: Energy Sources;" " Unit: Million U.S. Dollars." " "," "," ",," "," "," "," "," "," "," "," ",," " " "," ",,,,,,,,,,"RSE" "NAICS"," "," ",,"Residual","Distillate","Natural ","LPG and",,"Coke"," ","Row" "Code(a)","Subsector and Industry","Total","Electricity","Fuel Oil","Fuel Oil(b)","Gas(c)","NGL(d)","Coal","and Breeze","Other(e)","Factors"

170

Table 23. Domestic Crude Oil First Purchase Prices by API Gravity  

Annual Energy Outlook 2012 (EIA)

"Domestic Crude Oil First Purchase Report." 23. Domestic Crude Oil First Purchase Prices by API Gravity Energy Information Administration Petroleum Marketing Annual 1997...

171

Table 23. Domestic Crude Oil First Purchase Prices by API Gravity  

Gasoline and Diesel Fuel Update (EIA)

EIA-182, "Domestic Crude Oil First Purchase Report." 23. Domestic Crude Oil First Purchase Prices by API Gravity Energy Information Administration Petroleum Marketing Annual 1996...

172

DOE to Issue Second Solicitation for Purchase of Crude Oil for...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Issue Second Solicitation for Purchase of Crude Oil for the Strategic Petroleum Reserve DOE to Issue Second Solicitation for Purchase of Crude Oil for the Strategic Petroleum...

173

Classified and UCNI STI | Scientific and Technical Information Program  

Office of Scientific and Technical Information (OSTI)

Classified and UCNI STI Classified and UCNI STI Print page Print page Email page Email page Classified and UCNI STI products can be provided electronically via the AN 241.5. Although this form is a fillable PDF, it should be downloaded on a classified system before entering data. · Acceptable electronic media file formats are PDF (searchable or non-searchable), or Other (Word, HTML, XML, ASCII, WordPerfect, and TIFFG4). · Will be accepted in physical media types such as DVDs, CDs, videocassettes, etc. · Electronic classified/UCNI STI products that are saved to DVDs or CDs are to be submitted to OSTI through appropriate security/mail channels. For information on providing paper copies of Classified and UCNI STI products, refer to 241.5 Classified and UCNI Submission.

174

Public Sector Leadership: Government Purchasing of Energy-efficient  

NLE Websites -- All DOE Office Websites (Extended Search)

Public Sector Leadership: Government Purchasing of Energy-efficient Public Sector Leadership: Government Purchasing of Energy-efficient Products to Save Energy and "Pull" the Market Title Public Sector Leadership: Government Purchasing of Energy-efficient Products to Save Energy and "Pull" the Market Publication Type Conference Proceedings Year of Publication 2004 Authors Coleman, Philip, and Jeffrey P. Harris Conference Name Kuwait ASST Workshop on Energy Conservation in Buildings Series Title Energy Efficiency for Fuelling the World Date Published 01/2004 Conference Location Kuwait Abstract In most countries, government spending represents between 10% and 25% of total economic activity, with the national government generally accounting for the largest portion. Consequently, governments' spending can exert a strong influence on the markets for the products and services they purchase, especially when this procurement is concerted. In the last decade, several governments have instituted programs designed to direct their purchasing of energy-using products to the more efficient models on the market. This has two impacts: It provides substantial direct savings to the government on its utility bills while also helping to increase the availability and lower the prices of these more efficient models for all buyers.

175

Residential Dishwashers, Purchasing Specifications for Energy-Efficient Products (Fact Sheet)  

Science Conference Proceedings (OSTI)

Performance and purchasing specifications for residential dishwashers under the FEMP-designated product program.

Not Available

2010-06-01T23:59:59.000Z

176

Commercial Central Air Conditioners, Purchasing Specifications for Energy-Efficient Products (Fact Sheet)  

Science Conference Proceedings (OSTI)

Energy efficiency purchasing specifications for federal procurements of commercial central air conditioners.

Not Available

2011-02-01T23:59:59.000Z

177

Commercial Air-Source Heat Pumps, Purchasing Specifications for Energy-Efficient Products (Fact Sheet)  

SciTech Connect

Energy efficiency purchasing specifications for federal procurements of commercial air-source heat pumps.

Not Available

2011-02-11T23:59:59.000Z

178

Air-Cooled Electric Chillers, Purchasing Specifications for Energy-Efficient Products (Fact Sheet)  

SciTech Connect

Energy efficiency purchasing specifications for federal procurements of air-cooled electric chillers.

Not Available

2010-12-01T23:59:59.000Z

179

Commercial Gas Water Heaters, Purchasing Specifications for Energy-Efficient Products (Fact Sheet)  

Science Conference Proceedings (OSTI)

Performance and purchasing specifications for commercial gas water heaters under the FEMP-designated product program.

Not Available

2010-09-01T23:59:59.000Z

180

Clothes Washers, Purchasing Specifications for Energy-Efficient Products (Fact Sheet)  

SciTech Connect

Performance and purchasing specifications for residential clothes washers under the FEMP-designated product program.

2010-06-01T23:59:59.000Z

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


181

Water-Cooled Electric Chillers, Purchasing Specifications for Energy-Efficient Products (Fact Sheet)  

Science Conference Proceedings (OSTI)

Energy efficiency purchasing specifications for federal procurements of water-cooled electric chillers.

Not Available

2010-12-01T23:59:59.000Z

182

Enforcement of DOE Classified Information Security Requirements Under Title  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

of DOE Classified Information Security Requirements of DOE Classified Information Security Requirements Under Title 10, Code of Federal Regulations, Part 824 Enforcement of DOE Classified Information Security Requirements Under Title 10, Code of Federal Regulations, Part 824 In publishing 10 CFR Part 824, DOE has determined that civil penalties under Part 824 will only be assessed for violations of requirements for the protection of classified information (Restricted Data, Formerly Restricted Data and National Security Information). The rule does not include civil penalties relating to failure to protect sensitive but unclassified information. IMPLEMENTATION GUIDANCE More Documents & Publications Safety and Security Enforcement Process Overview Preliminary Notice, Battelle Energy Alliance, LLC, SEA-2011-01

183

824 Implementation Guide, Enforcement of DOE Classified Information...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

IMPLEMENTATION GUIDANCE Enforcement of DOE Classified Information Security Requirements Under Title 10, Code of Federal Regulations, Part 824 March 2006 (updated April 2007 to...

184

DOE O 475.2A, Identifying Classified Information  

Directives, Delegations, and Requirements

The Order establishes the program to identify information classified under the Atomic Energy Act [Restricted Data (RD), Formerly Restricted Data (FRD), and ...

2011-02-01T23:59:59.000Z

185

UES - Renewable Energy Credit Purchase Program | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

UES - Renewable Energy Credit Purchase Program UES - Renewable Energy Credit Purchase Program UES - Renewable Energy Credit Purchase Program < Back Eligibility Commercial Residential Savings Category Bioenergy Home Weatherization Commercial Weatherization Solar Lighting Windows, Doors, & Skylights Buying & Making Electricity Energy Sources Water Heating & Cooling Swimming Pool Heaters Water Heating Commercial Heating & Cooling Heating Wind Maximum Rebate Up-front incentives can pay for no more than 50% of the cost Residential solar water heating and space heating: $1,750 Small commercial solar water heating and space heating: $200,000 Program Info Start Date 2004 State Arizona Program Type Utility Rebate Program Rebate Amount PV incentives may be de-rated based on expected performance Residential PV: Funding has been depleted

186

Purchasing Energy-Efficient Windows | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Purchasing Energy-Efficient Windows Purchasing Energy-Efficient Windows Purchasing Energy-Efficient Windows October 13, 2008 - 11:29am Addthis John Lippert Windows connect us with the "great outdoors." They let in the light and the rays of the sun and can make even the smallest room seem bright and spacious. Operable windows let fresh air in and stale air out. Windows that are properly selected, well designed and constructed, and properly installed can make a world of difference to a home, helping it to be warm and cozy in the winter, and cool and comfortable in the summer. Yet windows have traditionally been the weak spot in the home's building envelope-that part of the house connected to the outdoors. They can be one of the leading sources of drafts, heat loss (or unwanted heat gain in

187

New Energy Tax Credit for Electric Vehicles Purchased in 2009  

NLE Websites -- All DOE Office Websites (Extended Search)

Federal Tax Credits for Electric Vehicles Federal Tax Credits for Electric Vehicles Photo of cash and keys Federal Tax Credit Up To $7,500! Electric vehicles (EVs) purchased in 2009 may be eligible for a federal income tax credit of up to $7,500. The amount will vary based on the capacity of the battery used to power the vehicle. This credit was replaced with a similar credit for EVs purchased after 2009. The maximum amount of this credit is the same, but the the requirements and credit phase-out criteria are slightly different. For more information on the credit for EVs purchased after 2009, click here. Vehicle Make & Model Full Credit Phase Out No Credit 50% 25% Tesla Motors Jan. 1, 2010, to Present TBD TBD TBD Tesla Roadster 2008-10 Tesla Roadster $7,500 -- -- -- Qualified Plug-In Electric Drive Motor Vehicles (IRC 30D)

188

The Solarize Guidebook: A community guide to collective purchasing of  

Open Energy Info (EERE)

Solarize Guidebook: A community guide to collective purchasing of Solarize Guidebook: A community guide to collective purchasing of residential PV systems Jump to: navigation, search Name The Solarize Guidebook: A community guide to collective purchasing of residential PV systems Agency/Company /Organization U.S. Department of Energy Partner National Renewable Energy Laboratory, City of Portland Sector Energy Focus Area Buildings, Residential, Economic Development, People and Policy, Solar, - Solar Pv Phase Bring the Right People Together, Create a Vision, Get Feedback, Develop Finance and Implement Projects, Create Early Successes, "Evaluate Effectiveness and Revise As Needed" is not in the list of possible values (Bring the Right People Together, Create a Vision, Determine Baseline, Evaluate Options, Develop Goals, Prepare a Plan, Get Feedback, Develop Finance and Implement Projects, Create Early Successes, Evaluate Effectiveness and Revise as Needed) for this property.

189

Purchasing Energy-Efficient Windows | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Purchasing Energy-Efficient Windows Purchasing Energy-Efficient Windows Purchasing Energy-Efficient Windows October 13, 2008 - 11:29am Addthis John Lippert Windows connect us with the "great outdoors." They let in the light and the rays of the sun and can make even the smallest room seem bright and spacious. Operable windows let fresh air in and stale air out. Windows that are properly selected, well designed and constructed, and properly installed can make a world of difference to a home, helping it to be warm and cozy in the winter, and cool and comfortable in the summer. Yet windows have traditionally been the weak spot in the home's building envelope-that part of the house connected to the outdoors. They can be one of the leading sources of drafts, heat loss (or unwanted heat gain in

190

Dominion Virginia Power - Solar Purchase Program | Open Energy Information  

Open Energy Info (EERE)

Dominion Virginia Power - Solar Purchase Program Dominion Virginia Power - Solar Purchase Program No revision has been approved for this page. It is currently under review by our subject matter experts. Jump to: navigation, search Summary Quantitative Data Last modified on June 21, 2013. Financial Incentive Program Place Virginia Name Dominion Virginia Power - Solar Purchase Program Incentive Type Performance-Based Incentive Applicable Sector Agricultural, Commercial, Fed. Government, Institutional, Local Government, Multi-Family Residential, Nonprofit, Residential, State Government Eligible Technologies Photovoltaics Active Incentive Yes Implementing Sector Utility Energy Category Renewable Energy Incentive Programs Amount $0.15/kWh Eligible System Size Residential: 20 kW Nonresidential: 50 kW Start Date 6/20/2013

191

TEP - Renewable Energy Credit Purchase Program | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

TEP - Renewable Energy Credit Purchase Program TEP - Renewable Energy Credit Purchase Program TEP - Renewable Energy Credit Purchase Program < Back Eligibility Residential Savings Category Solar Buying & Making Electricity Heating & Cooling Commercial Heating & Cooling Heating Water Heating Maximum Rebate Residential PV: 50% of system cost. Systems greater than 30 kW DC will receive incentives on the first 30 kW DC only. Residential Solar Water Heating and Space Heating: $1,750 Program Info Funding Source RES Surchage State Arizona Program Type Utility Rebate Program Rebate Amount Incentives for PV may be de-rated based on expected performance Residential grid-tied PV: $0.10/W-DC Residential Solar Water Heating and Space Heating: $0.40/kWh-equivalent Provider Tucson Electric Power '''''Note: The Arizona Corporation Commission (ACC) recently approved

192

Farmers Electric Cooperative (Kalona) - Renewable Energy Purchase Rate |  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Farmers Electric Cooperative (Kalona) - Renewable Energy Purchase Farmers Electric Cooperative (Kalona) - Renewable Energy Purchase Rate Farmers Electric Cooperative (Kalona) - Renewable Energy Purchase Rate < Back Eligibility Commercial Residential Savings Category Solar Buying & Making Electricity Wind Maximum Rebate Payment limited to 25% of customers monthly kWh usage Program Info State Iowa Program Type Performance-Based Incentive Rebate Amount $0.20/kWh Provider Farmers Electric Cooperative Farmers Electric Cooperative offers a production incentive to members that install qualifying wind and solar electricity generating systems. Qualifying grid-tied solar and wind energy systems are eligible for a $0.20 per kilowatt-hour (kWh) production incentive for up to 10 years for energy production that offsets up to 25% of monthly energy usage.

193

Energy Department Receives EPA Award for Top Green Power Purchase |  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Energy Department Receives EPA Award for Top Green Power Purchase Energy Department Receives EPA Award for Top Green Power Purchase Energy Department Receives EPA Award for Top Green Power Purchase September 24, 2013 - 12:19pm Addthis The Energy Department announced today that it has received a 2013 Green Power Leadership Award from the U.S. Environmental Protection Agency (EPA). The annual awards recognize the country's leading green power consumers for their commitment and contribution to helping advance the development of the nation's voluntary green power market. EPA presented the Energy Department with the award at an event held in conjunction with the 2013 Renewable Energy Markets Conference in Austin, Texas, on September 23, 2013. The Department was one of only eight organizations nationwide to receive a Leadership Award for utilization of green power. The award recognizes EPA

194

AEP Ohio - Renewable Energy Credit (REC) Purchase Program | Department of  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

AEP Ohio - Renewable Energy Credit (REC) Purchase Program AEP Ohio - Renewable Energy Credit (REC) Purchase Program AEP Ohio - Renewable Energy Credit (REC) Purchase Program < Back Eligibility Agricultural Commercial Fed. Government Industrial Institutional Local Government Nonprofit Residential Schools State Government Savings Category Solar Buying & Making Electricity Wind Program Info Start Date 07/2011 State Ohio Program Type Performance-Based Incentive Rebate Amount 2011 Solar: $300/REC 2012-2013 Solar: $262.50/REC 2011-2013 Wind: $34/REC Provider AEP Ohio '''''Note: This program is currently closed. All RECs were required to be transfered into AEP Ohio's GATS account by July 15, 2013 in order to be eligible for the program. No information is available regarding future solicitations. Check the program web site for more information. '''''

195

Energy Department Receives EPA Award for Top Green Power Purchase |  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Energy Department Receives EPA Award for Top Green Power Purchase Energy Department Receives EPA Award for Top Green Power Purchase Energy Department Receives EPA Award for Top Green Power Purchase September 24, 2013 - 12:19pm Addthis The Energy Department announced today that it has received a 2013 Green Power Leadership Award from the U.S. Environmental Protection Agency (EPA). The annual awards recognize the country's leading green power consumers for their commitment and contribution to helping advance the development of the nation's voluntary green power market. EPA presented the Energy Department with the award at an event held in conjunction with the 2013 Renewable Energy Markets Conference in Austin, Texas, on September 23, 2013. The Department was one of only eight organizations nationwide to receive a Leadership Award for utilization of green power. The award recognizes EPA

196

Dominion Virginia Power - Solar Purchase Program | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Dominion Virginia Power - Solar Purchase Program Dominion Virginia Power - Solar Purchase Program Dominion Virginia Power - Solar Purchase Program < Back Eligibility Agricultural Commercial Fed. Government Institutional Local Government Multi-Family Residential Nonprofit Residential State Government Savings Category Solar Buying & Making Electricity Program Info Start Date 6/20/2013 Expiration Date 6/20/2018 State Virginia Program Type Performance-Based Incentive Rebate Amount $0.15/kWh In March 2013, the Virginia State Corporation Commission approved a rate program for Dominion Virginia Power customers that install solar PV systems. The rate was approved at 15 cents per kWh with a 5 year contract. Both residential and nonresidential customers are eligible for the program. The program is capped 3 MW, with 60% of the capacity reserved for

197

Customer choice: Purchasing energy in a deregulated market  

SciTech Connect

This book presents the detailed guidance on how to effectively purchase deregulated energy, based on first-hand reports from many of the nation`s most knowledgeable experts. It is designed to provide the kind of practical advice needed by professionals who are responsible for making energy purchasing decisions. The book gives a ten-step program to guide building owners in purchasing decision making, a state-by-state retail competition update, and guidelines for buying electricity and natural gas over the worldwide web. Other topics include contract renegotiation strategies, an assessment of power pools, the role of aggregators in the energy market, real time pricing issues, where cogeneration fits within today`s marketplace, and lessons learned from deregulation experiences in Scandinavia and England.

Thumann, A. [ed.] [comp.

1999-09-01T23:59:59.000Z

198

Table E13.3. Electricity: Sales to Utility and Nonutility Purchasers, 1998  

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

3. Electricity: Sales to Utility and Nonutility Purchasers, 1998;" 3. Electricity: Sales to Utility and Nonutility Purchasers, 1998;" " Level: National and Regional Data; " " Row: Values of Shipments and Employment Sizes;" " Column: Utility and Nonutility Purchasers;" " Unit: Million Kilowatthours." ,"Total of",,,"RSE" "Economic","Sales and","Utility","Nonutility","Row" "Characteristic(a)","Transfers Offsite","Purchaser(b)","Purchaser(c)","Factors" ,"Total United States" "RSE Column Factors:",0.9,1,1.1 "Value of Shipments and Receipts"

199

Table 11.6 Electricity: Sales to Utility and Nonutility Purchasers, 2002  

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

Electricity: Sales to Utility and Nonutility Purchasers, 2002;" Electricity: Sales to Utility and Nonutility Purchasers, 2002;" " Level: National and Regional Data; " " Row: Values of Shipments and Employment Sizes;" " Column: Utility and Nonutility Purchasers;" " Unit: Million Kilowatthours." ,"Total of",,,"RSE" "Economic","Sales and","Utility","Nonutility","Row" "Characteristic(a)","Transfers Offsite","Purchaser(b)","Purchaser(c)","Factors" ,"Total United States" "RSE Column Factors:",0.9,1.3,0.9 "Value of Shipments and Receipts" "(million dollars)"

200

SF 6432-PO Standard Terms and Conditions for Purchase Orders  

NLE Websites -- All DOE Office Websites (Extended Search)

PO (04-95) PO (04-95) SECTION II STANDARD TERMS AND CONDITIONS FOR PURCHASE ORDERS INDEX OF CLAUSES AWARD BASIS (Applicable only to the Request for Quotation). Unless otherwise specified in Section I of the RFQ, award will be on the basis of low net cost to Sandia. Low net cost includes price, transportation charges, and payment discount terms. ______________________________________________________________________________________________________________________________ The terms and conditions stated for this Purchase Order, referred herein as "contract," are the only ones governing this transaction and cannot be changed or terminated orally. No terms and conditions appearing on any form originated by the Contractor shall be applicable. ______________________________________________________________________________________________________________________________

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


201

Products and purchasing | ENERGY STAR Buildings & Plants  

NLE Websites -- All DOE Office Websites (Extended Search)

Tools and resources Tools and resources » Products and purchasing Secondary menu About us Press room Contact Us Portfolio Manager Login Facility owners and managers Existing buildings Commercial new construction Industrial energy management Small business Service providers Service and product providers Verify applications for ENERGY STAR certification Design commercial buildings Energy efficiency program administrators Commercial and industrial program sponsors Associations State and local governments Federal agencies Tools and resources Training In This Section Campaigns Commercial building design Communications resources Energy management guidance Financial resources Portfolio Manager Products and purchasing Recognition Research and reports Service and product provider (SPP) resources Success stories

202

MAST 1 purchased products--components. Final report  

Science Conference Proceedings (OSTI)

AlliedSignal Inc., Kansas City Division, the production agency, was provided with funding to acquire purchased product components in support of the MAST (Multi-Application Surety Technology) Program. Implementation efforts, closing procurement status, and proposals for improvements in the procurement process are presented. The intent of this project was to fund the Purchased Product Team`s traditional procurement of components, with significantly reduced flowtime, in accordance with the Qualification Evaluation System, and to exercise the system to the extent possible. When funding was reduced, it became obvious that full implementation of the Qualification Evaluation System could not be achieved due to limited resources.

Brown, R.J.

1995-10-01T23:59:59.000Z

203

Dynamic linear combination of two-class classifiers  

Science Conference Proceedings (OSTI)

In two-class problems, the linear combination of the outputs (scores) of an ensemble of classifiers is widely used to attain high performance. In this paper we investigate some techniques aimed at dynamically estimate the coefficients of the linear combination ... Keywords: biometric systems, classifier ensembles, two-class classification

Carlo Lobrano; Roberto Tronci; Giorgio Giacinto; Fabio Roli

2010-08-01T23:59:59.000Z

204

Identifying transcription factor targets using enhanced Bayesian classifier  

Science Conference Proceedings (OSTI)

Finding transcription factors (TFs) to their target genes (TGs) is the first step to understand the transcriptional regulatory networks. Here we present a method which uses an enhanced Bayesian classifier to predict the TF-TG pairs in time-course expression ... Keywords: Bayesian classifier, Time-course expression data, Transcription factor targets

Dong He; Dao Zhou; Yanhong Zhou

2007-10-01T23:59:59.000Z

205

Information---Theoretic Multiclass Classification Based on Binary Classifiers  

Science Conference Proceedings (OSTI)

In this paper, we consider the multiclass classification problem based on sets of independent binary classifiers. Each binary classifier represents the output of a quantized projection of training data onto a randomly generated orthonormal basis vector ... Keywords: Classification, Coding matrix design, Complexity, Maximum number of classes, Reliability

Sviatoslav Voloshynovskiy; Oleksiy Koval; Fokko Beekhof; Taras Holotyak

2011-12-01T23:59:59.000Z

206

Cost curves: An improved method for visualizing classifier performance  

Science Conference Proceedings (OSTI)

This paper introduces cost curves, a graphical technique for visualizing the performance (error rate or expected cost) of 2-class classifiers over the full range of possible class distributions and misclassification costs. Cost curves are shown to be ... Keywords: Classifiers, Machine learning, Performance evaluation, ROC curves

Chris Drummond; Robert C. Holte

2006-10-01T23:59:59.000Z

207

A tree augmented classifier based on Extreme Imprecise Dirichlet Model  

Science Conference Proceedings (OSTI)

We present TANC, a TAN classifier (tree-augmented naive) based on imprecise probabilities. TANC models prior near-ignorance via the Extreme Imprecise Dirichlet Model (EDM). A first contribution of this paper is the experimental comparison between EDM ... Keywords: Classification, Classifier, Imprecise Dirichlet Model, Naive credal, TANC

G. Corani; C. P. de Campos

2010-11-01T23:59:59.000Z

208

Chapter_5_Classified_Matter_Protection_and_Control  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Classified Matter Protection and Control Classified Matter Protection and Control This chapter describes the security procedures adopted by DOE HQ to implement the requirements of the following DOE directives: * 32 CFR 2001 and 2003, Implementing Directive * Atomic Energy Act of 1954, as amended * Executive Order 13526, Classified National Security Information * National Security Act of 1947, as amended * Executive Order 12333, United States Intelligence Activities, as amended by Executive Order 13355 * DOE Order 471.6, Information Security * DOE Order 475.2A, Identifying Classified Information * DOE Order 452.8, Control of Nuclear Weapon Data * DOE CMPC Marking Resource * Classification Bulletin TNP-32, Classification Guidance for Classified Meeting Locations at DOE/NNSA or DOE/NNSA Contractor Sites or Facilities, dated May 27,

209

Classified STI Products | Scientific and Technical Information Program  

Office of Scientific and Technical Information (OSTI)

Classified STI Products Classified STI Products Print page Print page Email page Email page The Atomic Energy Act of 1954, as amended, and Executive Order 13526 serves as the basis for identifying classified information generated by the Department. Classified information is defined as certain information that the United States Government has determined requires protection against unauthorized disclosure for reasons of national security (i.e., Restricted Data, Formerly Restricted Data, and National Security Information). Caveats and special control markings are placed on documents to identify special handling or dissemination requirements, or to assist in describing the type of information involved. (Refer to CMPC Marking Resource, Examples of Acceptably Marked Classified or Controlled Matter (PDF, 5.1MB)

210

Notice, Revised Classified Information Nondisclosure Agreement - July 2013  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Notice, Revised Classified Information Nondisclosure Agreement - Notice, Revised Classified Information Nondisclosure Agreement - July 2013 Notice, Revised Classified Information Nondisclosure Agreement - July 2013 August 29, 2013 - 4:19pm Addthis Notice, Revised Classified Information Nondisclosure Agreement - July 2013 The "Classified Information Nondisclosure Agreement, Standard Form 312" (SF 312) was revised in July 2013 by the Office of the Director of National Intelligence (ODNI) to conform with two new federal statutes: The Financial Services and General Government Appropriations Act (Public Law 112-74); and Whistleblower Protection Enhancement Act (WPEA) (Public Law 112-199). The WPEA strengthens protections for federal employees who disclose evidence of waste, fraud, or abuse. The WPEA requires that each agreement

211

Louisiana Crude Oil First Purchase Price (Dollars per Barrel)  

U.S. Energy Information Administration (EIA)

24.51: 24.84: 30.52: 40.48: 54.05: 64.23: 71.63: 100.89: 59.18: 2010's: 78.25: 106.20: 105.97 ... Domestic Crude Oil First Purchase Prices by Area ...

212

Montana Crude Oil First Purchase Price (Dollars per Barrel)  

U.S. Energy Information Administration (EIA)

72.51: 72.37: 82.12: 87.25: 86.80: 82.93: 80.25: 2013: 88.92: 87.79: 86.40: 86.18: 87.02: 85.58: 98.28: 98.25 ... Domestic Crude Oil First Purchase Prices by Area ...

213

Texas A&M AgriLife Administrative Services Purchasing  

E-Print Network (OSTI)

Texas A&M AgriLife Administrative Services ­ Purchasing (08/10) ALTERNATIVE DISPUTE RESOLUTION The dispute resolution process provided for in Chapter 2260 of the Texas Government Code shall be used, subchapter B, of the Texas Government Code. To initiate the process, Vendor shall submit written notice

214

Purchasing Renewable Energy: A Guidebook for Federal Agencies  

E-Print Network (OSTI)

LBNL-46766 Purchasing Renewable Energy: A Guidebook for Federal Agencies William Golove, Mark://eetd.lbl.gov/EA/EMP/ The work described in this study was funded by the Assistant Secretary of Energy Efficiency and Renewable programs by paying a premium to have renewable energy supplied to the grid by their local utility. Whether

215

GO GREEN! BUY GREEN! Introduction to Green Purchasing  

E-Print Network (OSTI)

· Energy-and water-efficient products ­ Standby power devices ­ ENERGY STAR and FEMP-designated products decisions. Choosing products and services that reduce impacts on human health and the environment, when;What does buying green look like? The Federal Green Purchasing Program · Recycled content products

Lafferriere, Gerardo

216

Assimilation of Internet-based purchasing applications within medical practices  

Science Conference Proceedings (OSTI)

The changing shape of the traditional buyer-supplier relationship between independent medical practices, or office-based physicians, and medical industry suppliers has prompted the proliferation of Internet-based purchasing applications. Healthcare informatics ... Keywords: Assimilation, Diffusion, Healthcare, IT performance, Supply chain management

Richard Klein

2012-05-01T23:59:59.000Z

217

West Texas Sour First Purchase Price (Dollars per Barrel)  

U.S. Energy Information Administration (EIA)

West Texas Sour First Purchase Price (Dollars per Barrel) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec; 1993: 14.87: 13.29: 11.28: 1994: 11.77: 11.65: 11.61 ...

218

Using government purchasing power to reduce equipment standby power  

Science Conference Proceedings (OSTI)

Although the government sector represents only 10 to 15 percent of the economy in most countries, carefully targeted public procurement can play a significant role in market transformation through its influence on both buyers and suppliers. Government leadership in energy-efficient purchasing can set an example for other buyers, while creating opportunities for leading manufacturers and distributors to increase their sales and market share by offering energy-efficient products at competitive prices. Under proper circumstances, a highly visible government purchasing policy can have a disproportionately large influence on the market for efficient products. In the United States, President Bush signed an Executive Order in 2001 directing all federal agencies to buy products with low standby power (1 watt or less where possible). This represents a deliberate choice to use government purchasing - rather than regulations or incentives - as a market-based strategy to encourage energy savings. It also builds upon existing efforts to encourage Federal purchase of energy-efficient products (Energy Star products and others in the top 25th percentile of efficiency). This paper summarizes the Federal Energy Management Program s first 18 months of experience in implementing this Executive Order, including analysis of data on standby power, interactions with manufacturers and industry groups, and the relationship between these efforts and other federal programs concerning product labelling, testing, rating, and efficiency standards. After five years of implementing low-standby power purchasing, we estimate energy savings for federal agencies alone at about 230 GWh/year (worth US$14 million), with spillover effects on the broader market that will save all US consumers nearly 4000 GWh/year (US$300 million).

Harris, Jeffrey; Meier, Alan; Bartholomew, Emily; Thomas, Alison; Glickman, Joan; Ware Michelle

2003-03-03T23:59:59.000Z

219

Training a Large Scale Classifier with the Quantum Adiabatic Algorithm  

E-Print Network (OSTI)

In a previous publication we proposed discrete global optimization as a method to train a strong binary classifier constructed as a thresholded sum over weak classifiers. Our motivation was to cast the training of a classifier into a format amenable to solution by the quantum adiabatic algorithm. Applying adiabatic quantum computing (AQC) promises to yield solutions that are superior to those which can be achieved with classical heuristic solvers. Interestingly we found that by using heuristic solvers to obtain approximate solutions we could already gain an advantage over the standard method AdaBoost. In this communication we generalize the baseline method to large scale classifier training. By large scale we mean that either the cardinality of the dictionary of candidate weak classifiers or the number of weak learners used in the strong classifier exceed the number of variables that can be handled effectively in a single global optimization. For such situations we propose an iterative and piecewise approach in which a subset of weak classifiers is selected in each iteration via global optimization. The strong classifier is then constructed by concatenating the subsets of weak classifiers. We show in numerical studies that the generalized method again successfully competes with AdaBoost. We also provide theoretical arguments as to why the proposed optimization method, which does not only minimize the empirical loss but also adds L0-norm regularization, is superior to versions of boosting that only minimize the empirical loss. By conducting a Quantum Monte Carlo simulation we gather evidence that the quantum adiabatic algorithm is able to handle a generic training problem efficiently.

Hartmut Neven; Vasil S. Denchev; Geordie Rose; William G. Macready

2009-12-04T23:59:59.000Z

220

Adjudicative Guidelines for Determining Eligibility for Access to Classified Information  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Adjudicative Guidelines for Determining Eligibility for Adjudicative Guidelines for Determining Eligibility for Access to Classified Information 1. Introduction. The following adjudicative guidelines are established for all U.S. government civilian and military personnel, consultants, contractors, employees of contractors, licensees, certificate holders or grantees and their employees and other individuals who require access to classified information. They apply to persons being considered for initial or continued eligibility for access to classified information, to include sensitive compartmented information and special access programs, and are to be used by government departments and agencies in all final clearance determinations. Government departments and agencies may also choose to apply these

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


221

Learning classifier systems: a complete introduction, review, and roadmap  

Science Conference Proceedings (OSTI)

If complexity is your problem, learning classifier systems (LCSs) may offer a solution. These rule-based, multifaceted, machine learning algorithms originated and have evolved in the cradle of evolutionary biology and artificial intelligence. The LCS ...

Ryan J. Urbanowicz; Jason H. Moore

2009-01-01T23:59:59.000Z

222

Error weighted classifier combination for multi-modal human identification  

E-Print Network (OSTI)

In this paper we describe a technique of classifier combination used in a human identification system. The system integrates all available features from multi-modal sources within a Bayesian framework. The framework allows ...

Ivanov, Yuri

2005-12-14T23:59:59.000Z

223

Cost-sensitive classifier evaluation using cost curves  

Science Conference Proceedings (OSTI)

The evaluation of classifier performance in a cost-sensitive setting is straightforward if the operating conditions (misclassification costs and class distributions) are fixed and known. When this is not the case, evaluation requires a method of visualizing ...

Robert C. Holte; Chris Drummond

2008-05-01T23:59:59.000Z

224

City of San Diego RFP for Power Purchase (PV)  

NLE Websites -- All DOE Office Websites (Extended Search)

City of San Diego City of San Diego Environmental Services Department Energy Conservation and Management Division Request for Proposal For Power Purchase of Renewable Energy (Photovoltaics) For City Facilities The City of San Diego is seeking a firm, or a team of firms, to provide cost effective solar photovoltaic electric generating systems at eight City sites. The City intends to enter into power purchase agreement(s) for terms up to twenty years with solar PV developer(s) at these sites. The developers may also be asked to assist the City with identifying implementing solar PV projects at other sites depending upon the success of the initial program. The City evaluated twenty four facilities that appear to have potential of accommodating solar PV systems ranging in size from 30 kilowatts to 1

225

Goods and services purchased by Los Alamos National Laboratory  

NLE Websites -- All DOE Office Websites (Extended Search)

Goods and services purchased by Los Alamos National Laboratory Goods and services purchased by Los Alamos National Laboratory Fiscal Year 2012 The information below is a representation of the amount of dollars spent on goods and services needed to perform work at the Laboratory. This information can give students an idea of the impact that the Laboratory has on the local and national economies. Classroom activity: You may want to have a classroom discussion about the different areas listed below. For example, you may ask students to identify what may be included in the costs for Information Technology (i.e., computers, copiers, etc.). You may also talk about how a major organization as the largest employer in the area impacts the local economy. Construction: 10% of Total Spend Engineering: 14% of Total

226

AOCS/SFA Edible Oils Manual, 2nd EditionChapter 2 Edible Oil Purchasing  

Science Conference Proceedings (OSTI)

AOCS/SFA Edible Oils Manual, 2nd Edition Chapter 2 Edible Oil Purchasing Food Science eChapters Food Science & Technology Press Downloadable pdf of Chapter 2 Edible Oil Purchasing from the book ...

227

Purchasing and Materials Management Organization, Sandia National Laboratories annual report, fiscal year 1993  

Science Conference Proceedings (OSTI)

This report summarizes the purchasing and transportation activities of the Purchasing and Materials Management Organization for Fiscal Year 1993. Activities for both the New Mexico and California locations are included.

Martin, D.R.

1994-02-01T23:59:59.000Z

228

Will You Be Purchasing New Appliances for a Rebate from Your...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Will You Be Purchasing New Appliances for a Rebate from Your State? Will You Be Purchasing New Appliances for a Rebate from Your State? December 24, 2009 - 7:30am Addthis This...

229

Whole-Home Gas Tankless Water Heaters, Purchasing Specifications for Energy-Efficient Products (Fact Sheet)  

SciTech Connect

Performance and purchasing specifications for whole-home gas water heaters under the FEMP-designated product program.

2010-06-01T23:59:59.000Z

230

Table A30. Quantity of Electricity Sold to Utility and Nonutility Purchasers  

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

Quantity of Electricity Sold to Utility and Nonutility Purchasers" Quantity of Electricity Sold to Utility and Nonutility Purchasers" " by Census Region, Census Division, Industry Group, and Selected Industries, 1994" " (Estimates in Million Kilowatthours)" " "," "," "," "," ","RSE" "SIC"," "," ","Utility ","Nonutility","Row" "Code(a)","Industry Group and Industry","Total Sold","Purchaser(b)","Purchaser(c)","Factors" ,,"Total United States" ,"RSE Column Factors:",0.9,1.1,1 , 20,"Food and Kindred Products",1829," W "," W ",28

231

A History of Classified Activities at Oak Ridge National Laboratory  

SciTech Connect

The facilities that became Oak Ridge National Laboratory (ORNL) were created in 1943 during the United States' super-secret World War II project to construct an atomic bomb (the Manhattan Project). During World War II and for several years thereafter, essentially all ORNL activities were classified. Now, in 2000, essentially all ORNL activities are unclassified. The major purpose of this report is to provide a brief history of ORNL's major classified activities from 1943 until the present (September 2000). This report is expected to be useful to the ORNL Classification Officer and to ORNL's Authorized Derivative Classifiers and Authorized Derivative Declassifiers in their classification review of ORNL documents, especially those documents that date from the 1940s and 1950s.

Quist, A.S.

2001-01-30T23:59:59.000Z

232

Microsoft Word - 2010_NESC_Power_Purchase_Contract_CX.doc  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

0, 2010 0, 2010 REPLY TO ATTN OF: KEC-4 SUBJECT: Environmental Clearance Memorandum John Wellschlager Project Manager - PTL-5 Proposed Action: Output Power Purchase Agreement with Northwest Energy Supply Cooperative - Barr-Tech, LLC Resource Budget Information: #00003863; Task #01 Categorical Exclusion Applied (from Subpart D, 10 C.F.R. Part 1021): B4.1 Establishment and implementation of contracts, marketing plans, policies, allocation plans, or acquisition of excess electric power that does not involve: (1) the integration of new generation resource, (2) physical changes in the transmission system beyond the previously developed facility area, unless the changes are themselves categorically excluded, or (3) changes in the

233

Power Purchase Agreement Checklist for State and Local Governments  

Science Conference Proceedings (OSTI)

This fact sheet provides information and guidance on the solar photovoltaic (PV) power purchase agreement (PPA), which is a financing mechanism that state and local government entities can use to acquire clean, renewable energy. It addressed the financial, logistical, and legal questions relevant to implementing a PPA, but we do not examine the technical details?those can be discussed later with the developer/contractor. This fact sheet is written to support decision makers in U.S. state and local governments who are aware of solar PPAs and may have a cursory knowledge of their structure but they still require further information before committing to a particular project.

Cory, K.; Canavan, B.; Koenig, R.

2009-10-01T23:59:59.000Z

234

Proposals with computer/laptop and software purchases Agencies expect that F&A dollars will be used to purchase computers and/or software  

E-Print Network (OSTI)

Proposals with computer/laptop and software purchases Agencies expect that F&A dollars will be used to purchase computers and/or software and not the grant you are applying for. If funding for a computer that your project requires a computer and/or software to complete the project goals. Try to be as specific

235

Using classifier ensembles to label spatially disjoint data  

Science Conference Proceedings (OSTI)

We describe an ensemble approach to learning from arbitrarily partitioned data. The partitioning comes from the distributed processing requirements of a large scale simulation. The volume of the data is such that classifiers can train only on data local ... Keywords: Imbalanced training data, Out-of-partition, Probabilistic voting, Random forest, Saliency, k-Nearest centroids

Larry Shoemaker; Robert E. Banfield; Lawrence O. Hall; Kevin W. Bowyer; W. Philip Kegelmeyer

2008-01-01T23:59:59.000Z

236

A linear combination of classifiers via rank margin maximization  

Science Conference Proceedings (OSTI)

The method we present aims at building a weighted linear combination of already trained dichotomizers, where the weights are determined to maximize the minimum rank margin of the resulting ranking system. This is particularly suited for real applications ... Keywords: combination of classifiers, margin, ranking

Claudio Marrocco; Paolo Simeone; Francesco Tortorella

2010-08-01T23:59:59.000Z

237

Improving hierarchical document signature performance by classifier combination  

Science Conference Proceedings (OSTI)

We present a classifier-combination experimental framework for part-of-speech (POS) tagging in which four different POS taggers are combined in order to get a better result for sentence similarity using Hierarchical Document Signature (HDS). It is important ... Keywords: different tagging methods, hierarchical document signature, part-of-speech taggers

Jieyi Liao; B. Sumudu U. Mendis; Sukanya Manna

2010-11-01T23:59:59.000Z

238

Chapter 06 Employee Orientation 6.01 Classified Employee Orientation  

E-Print Network (OSTI)

Chapter 06 Employee Orientation 6.01 Classified Employee Orientation Policy The employing unit supervisor and/or designee has the responsibility for orienting new employees to duties, job performance under the civil service system. · Procedure The employing unit may choose to have group orientations

Sheridan, Jennifer

239

POFGEC: growing neural network of classifying potential function generators  

Science Conference Proceedings (OSTI)

In this paper, we propose an architecture and learning algorithm for a growing neural network. Drawing inspiration from the idea of electrical potentials, we develop a classifier based on a set of synthesised potential fields over the domain of input ... Keywords: classification rules, electrical potentials, kernels, neural networks, potential function generators, potential functions

Natacha Gueorguieva; Iren Valova; Georgi Georgiev

2010-08-01T23:59:59.000Z

240

Visualization of records classified with the 1998 ACM CCS  

Science Conference Proceedings (OSTI)

This paper proposes a visualization scheme for large-scale collections of documents organized hierarchically. The scheme provides a concise and customizable view of OAI-PMH records. We assume that records are classified with a hierarchical algorithm ... Keywords: OAI-PMH protocol, document collections, information visualization, scalable vector graphics

María Auxilio Medina; J. Alfredo Sánchez; Jorge de la C. Mora; Antonio Benítez Ruiz

2012-10-01T23:59:59.000Z

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


241

Classifying North Atlantic Tropical Cyclone Tracks by Mass Moments  

Science Conference Proceedings (OSTI)

A new method for classifying tropical cyclones or similar features is introduced. The cyclone track is considered as an open spatial curve, with the wind speed or power information along the curve considered to be a mass attribute. The first and ...

Jennifer Nakamura; Upmanu Lall; Yochanan Kushnir; Suzana J. Camargo

2009-10-01T23:59:59.000Z

242

A neural network-based multi-agent classifier system  

Science Conference Proceedings (OSTI)

In this paper, we propose a neural network (NN)-based multi-agent classifier system (MACS) using the trust, negotiation, and communication (TNC) reasoning model. The main contribution of this work is that a novel trust measurement method, based on the ... Keywords: Multi-agent systems, Neural networks, Pattern classification

Anas Quteishat; Chee Peng Lim; Jeffrey Tweedale; Lakhmi C. Jain

2009-03-01T23:59:59.000Z

243

A General Probabilistic Formulation for Supervised Neural Classifiers  

Science Conference Proceedings (OSTI)

We use partial likelihood (PL) theory to introduce a general probabilistic framework for the design and analysis of neural classifiers. The formulation allows for the training samples used in the design to have correlations in time, and for use of a ...

Hongmei Ni; Tülay Adali; Bo Wang; Xiao Liu

2000-08-01T23:59:59.000Z

244

Training a Binary Classifier with the Quantum Adiabatic Algorithm  

E-Print Network (OSTI)

This paper describes how to make the problem of binary classification amenable to quantum computing. A formulation is employed in which the binary classifier is constructed as a thresholded linear superposition of a set of weak classifiers. The weights in the superposition are optimized in a learning process that strives to minimize the training error as well as the number of weak classifiers used. No efficient solution to this problem is known. To bring it into a format that allows the application of adiabatic quantum computing (AQC), we first show that the bit-precision with which the weights need to be represented only grows logarithmically with the ratio of the number of training examples to the number of weak classifiers. This allows to effectively formulate the training process as a binary optimization problem. Solving it with heuristic solvers such as tabu search, we find that the resulting classifier outperforms a widely used state-of-the-art method, AdaBoost, on a variety of benchmark problems. Moreover, we discovered the interesting fact that bit-constrained learning machines often exhibit lower generalization error rates. Changing the loss function that measures the training error from 0-1 loss to least squares maps the training to quadratic unconstrained binary optimization. This corresponds to the format required by D-Wave's implementation of AQC. Simulations with heuristic solvers again yield results better than those obtained with boosting approaches. Since the resulting quadratic binary program is NP-hard, additional gains can be expected from applying the actual quantum processor.

Hartmut Neven; Vasil S. Denchev; Geordie Rose; William G. Macready

2008-11-04T23:59:59.000Z

245

Table 7.9 Expenditures for Purchased Energy Sources, 2010;  

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

9 Expenditures for Purchased Energy Sources, 2010; 9 Expenditures for Purchased Energy Sources, 2010; Level: National and Regional Data; Row: NAICS Codes; Column: Energy Sources; Unit: Million U.S. Dollars. NAICS Residual Distillate LPG and Coke Code(a) Subsector and Industry Total Electricity Fuel Oil Fuel Oil(b) Natural Gas(c) NGL(d) Coal and Breeze Other(e) Total United States 311 Food 10,111 5,328 130 431 3,391 150 442 29 210 3112 Grain and Oilseed Milling 2,130 932 2 12 673 Q 294 0 158 311221 Wet Corn Milling 1,002 352 1 5 296 1 239 0 107 31131 Sugar Manufacturing 367 105 7 18 87 1 118 29 2 3114 Fruit and Vegetable Preserving and Specialty Foods 1,408 698 17 Q 579 18 7 0 18 3115 Dairy Products 1,186 695 20 40 412 8 1 0 10 3116 Animal Slaughtering and Processing

246

Classifying North Atlantic Tropical Cyclone Tracks by Mass Moments*  

E-Print Network (OSTI)

A new method for classifying tropical cyclones or similar features is introduced. The cyclone track is considered as an open spatial curve, with the wind speed or power information along the curve considered to be a mass attribute. The first and second moments of the resulting object are computed and then used to classify the historical tracks using standard clustering algorithms. Mass moments allow the whole track shape, length, and location to be incorporated into the clustering methodology. Tropical cyclones in the North Atlantic basin are clustered with K-means by mass moments, producing an optimum of six clusters with differing genesis locations, track shapes, intensities, life spans, landfalls, seasonal patterns, and trends. Even variables that are not directly clustered show distinct separation between clusters. A trend analysis confirms recent conclusions of increasing tropical cyclones in the basin over the past two decades. However, the trends vary across clusters. 1.

Yochanan Kushnir; Suzana; J. Camargo

2008-01-01T23:59:59.000Z

247

NREL-Third-Party Financing and Power Purchasing Agreements for Public  

Open Energy Info (EERE)

Third-Party Financing and Power Purchasing Agreements for Public Third-Party Financing and Power Purchasing Agreements for Public Sector PV Projects Webinar Jump to: navigation, search Tool Summary Name: Third-Party Financing and Power Purchasing Agreements for Public Sector PV Projects Agency/Company /Organization: National Renewable Energy Laboratory Partner: United States Department of Energy Sector: Energy Focus Area: Solar Topics: Finance Resource Type: Webinar, Training materials Website: www.nrel.gov/applying_technologies/state_local_activities/webinar_2009 Third-Party Financing and Power Purchasing Agreements for Public Sector PV Projects Screenshot References: Third-Party Financing and Power Purchasing Agreements for Public Sector PV Projects[1] Logo: Third-Party Financing and Power Purchasing Agreements for Public Sector PV Projects

248

Utility to Purchase Electricity from Innovative DOE-Supported Clean Coal  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Utility to Purchase Electricity from Innovative DOE-Supported Clean Utility to Purchase Electricity from Innovative DOE-Supported Clean Coal Project Utility to Purchase Electricity from Innovative DOE-Supported Clean Coal Project January 17, 2012 - 12:00pm Addthis Washington, DC - An innovative clean coal technology project in Texas will supply electricity to the largest municipally owned utility in the United States under a recently signed Power Purchase Agreement, the U.S. Department of Energy (DOE) announced today. Under the agreement - the first U.S. purchase by a utility of low-carbon power from a commercial-scale, coal-based power plant with carbon capture - CPS Energy of San Antonio will purchase approximately 200 megawatts (MW) of power from the Texas Clean Energy Project (TCEP), located just west of Midland-Odessa.

249

DOE Issues Solicitation for Purchase of Oil for the Strategic Petroleum  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Issues Solicitation for Purchase of Oil for the Strategic Issues Solicitation for Purchase of Oil for the Strategic Petroleum Reserve DOE Issues Solicitation for Purchase of Oil for the Strategic Petroleum Reserve March 16, 2007 - 11:37am Addthis WASHINGTON, DC - The U.S. Department of Energy (DOE) today announced that it will seek solicitations to purchase up to four million barrels of crude oil for the Strategic Petroleum Reserve (SPR). This is the first of a series of solicitations planned to replace 11 million barrels of oil sold in the fall of 2005 after Hurricane Katrina disrupted refinery supplies. This would be the first direct purchase of crude oil for the reserve since 1994. The Strategic Petroleum Reserve will use the proceeds from the emergency sale totaling $584 million to complete the purchases.

250

DOE Issues Solicitation for Purchase of Oil for the Strategic Petroleum  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Solicitation for Purchase of Oil for the Strategic Solicitation for Purchase of Oil for the Strategic Petroleum Reserve DOE Issues Solicitation for Purchase of Oil for the Strategic Petroleum Reserve March 16, 2007 - 11:37am Addthis WASHINGTON, DC - The U.S. Department of Energy (DOE) today announced that it will seek solicitations to purchase up to four million barrels of crude oil for the Strategic Petroleum Reserve (SPR). This is the first of a series of solicitations planned to replace 11 million barrels of oil sold in the fall of 2005 after Hurricane Katrina disrupted refinery supplies. This would be the first direct purchase of crude oil for the reserve since 1994. The Strategic Petroleum Reserve will use the proceeds from the emergency sale totaling $584 million to complete the purchases. "The Strategic Petroleum Reserve is a critical national asset that bolsters

251

Methods for characterizing, classifying, and identifying unknowns in samples  

DOE Patents (OSTI)

Disclosed is a method for taking the data generated from an array of responses from a multichannel instrument, and determining the characteristics of a chemical in the sample without the necessity of calibrating or training the instrument with known samples containing the same chemical. The characteristics determined by the method are then used to classify and identify the chemical in the sample. The method can also be used to quantify the concentration of the chemical in the sample.

Grate, Jay W [West Richland, WA; Wise, Barry M [Manson, WA

2002-01-01T23:59:59.000Z

252

Weighted order statistic classifiers with large rank-order margin.  

Science Conference Proceedings (OSTI)

We describe how Stack Filters and Weighted Order Statistic function classes can be used for classification problems. This leads to a new design criteria for linear classifiers when inputs are binary-valued and weights are positive . We present a rank-based measure of margin that can be directly optimized as a standard linear program and investigate its effect on generalization error with experiment. Our approach can robustly combine large numbers of base hypothesis and easily implement known priors through regularization.

Porter, R. B. (Reid B.); Hush, D. R. (Donald R.); Theiler, J. P. (James P.); Gokhale, M. (Maya)

2003-01-01T23:59:59.000Z

253

Table N11.4. Expenditures for Purchased Electricity, Natural Gas, and Steam, 19  

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

4. Expenditures for Purchased Electricity, Natural Gas, and Steam, 1998;" 4. Expenditures for Purchased Electricity, Natural Gas, and Steam, 1998;" " Level: National Data and Regional Totals; " " Row: NAICS Codes;" " Column: Supplier Sources of Purchased Electricity, Natural Gas, and Steam;" " Unit: Million U.S. Dollars." ,,,"Electricity","Components",,"Natural Gas","Components",,"Steam","Components" " "," ",,,"Electricity",,,"Natural Gas",,,"Steam"," ",," " " "," ",,"Electricity","from Sources",,"Natural Gas","from Sources",,"Steam","from Sources","RSE"

254

Table 7.7 Quantity of Purchased Electricity, Natural Gas, and Steam, 2002  

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

7 Quantity of Purchased Electricity, Natural Gas, and Steam, 2002;" 7 Quantity of Purchased Electricity, Natural Gas, and Steam, 2002;" " Level: National and Regional Data;" " Row: NAICS Codes;" " Column: Supplier Sources of Purchased Electricity, Natural Gas, and Steam;" " Unit: Physical Units or Btu." ,,,"Electricity","Components",,"Natural Gas","Components",,"Steam","Components" " "," ",,,"Electricity",,,"Natural Gas",,,"Steam"," ",," " " "," ",,"Electricity","from Sources",,"Natural Gas","from Sources",,"Steam","from Sources"

255

Table 7.10 Expenditures for Purchased Electricity, Natural Gas, and Steam, 2002  

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

0 Expenditures for Purchased Electricity, Natural Gas, and Steam, 2002;" 0 Expenditures for Purchased Electricity, Natural Gas, and Steam, 2002;" " Level: National and Regional Data; " " Row: NAICS Codes;" " Column: Supplier Sources of Purchased Electricity, Natural Gas, and Steam;" " Unit: Million U.S. Dollars." ,,,"Electricity","Components",,"Natural Gas","Components",,"Steam","Components" " "," ",,,"Electricity",,,"Natural Gas",,,"Steam"," ",," " " "," ",,"Electricity","from Sources",,"Natural Gas","from Sources",,"Steam","from Sources","RSE"

256

Table 7.3 Average Prices of Purchased Electricity, Natural Gas, and Steam, 20  

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

3 Average Prices of Purchased Electricity, Natural Gas, and Steam, 2002;" 3 Average Prices of Purchased Electricity, Natural Gas, and Steam, 2002;" " Level: National and Regional Data; " " Row: NAICS Codes;" " Column: Supplier Sources of Purchased Electricity, Natural Gas, and Steam;" " Unit: U.S. Dollars per Physical Units." ,,,"Electricity","Components",,"Natural Gas","Components",,"Steam","Components" " "," ",,,"Electricity",,,"Natural Gas",,,"Steam"," ",," " " "," ",,"Electricity","from Sources",,"Natural Gas","from Sources",,"Steam","from Sources"

257

GovEnergy 2008 Session Presentation on Power Purchase Agreements  

NLE Websites -- All DOE Office Websites (Extended Search)

Agreements Agreements Power Purchase Agreements for for Renewable Energy Renewable Energy Jim Snook Steve Dumont Jim Snook Steve Dumont Mike Warwick Mike Warwick AFCESA/CENF AFCESA/CENF ACC/A7OE PNNL ACC/A7OE PNNL U.S. Air Force U.S. Air Force U.S. Air Force U.S. Air Force Pacific NW Pacific NW National Lab National Lab AGENDA * PPA Basics * PPA "How to" Guide * Nellis Experience * Ft. Carson Experience Renewable Energy Projects * Objective: Develop renewable generation - Reduce fossil fuel use & foreign oil dependence - Meet Federal renewable energy goals (EPAct, Executive Order 13423, etc) - Reduce and stabilize utility costs - Improve energy supply security & reliability Renewable Energy Projects * Key requirements

258

GovEnergy 2008 Session Presentation on Power Purchase Agreements  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Agreements Agreements Power Purchase Agreements for for Renewable Energy Renewable Energy Jim Snook Steve Dumont Jim Snook Steve Dumont Mike Warwick Mike Warwick AFCESA/CENF AFCESA/CENF ACC/A7OE PNNL ACC/A7OE PNNL U.S. Air Force U.S. Air Force U.S. Air Force U.S. Air Force Pacific NW Pacific NW National Lab National Lab AGENDA * PPA Basics * PPA "How to" Guide * Nellis Experience * Ft. Carson Experience Renewable Energy Projects * Objective: Develop renewable generation - Reduce fossil fuel use & foreign oil dependence - Meet Federal renewable energy goals (EPAct, Executive Order 13423, etc) - Reduce and stabilize utility costs - Improve energy supply security & reliability Renewable Energy Projects * Key requirements

259

Federal On-Site Renewable Power Purchasing Issues  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

On-Site Renewable On-Site Renewable Power Purchasing Issues Tracy Logan, FEMP (202) 586-9973 tracy.logan@ee.doe.gov Chandra Shah, NREL (303) 384-7557 chandra.shah@nrel.gov Overview * OMB Memo Summary * Issue Paper Development * Termination * ESPC PPA Update CEQ/OMB Memo Summary * 8/16/11: Supporting Energy and Sustainability Goal Achievement Through Efficiency and Deployment of Clean Energy Technology * Encourages Agencies to use ESPCs and UESCs and requests Agencies report ESPCs and UESCs to FEMP * Requests review of all types of PPAs Issue Paper Development * FEMP is drafting papers on deployment issues * Purpose: to provide a central point of information * Proposed papers: interconnection, rebates & incentives, termination, others? * Please email suggested topics to Tracy & Chandra

260

Inspection of Power Purchase Contracts at the Western Area Power Administration, IG-0372  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

IG-1 IG-1 INFORMATION: Report on the "Inspection of Power Purchase Contracts at the Western Area Power Administration" TO:The Secretary BACKGROUND: The subject final report is provided for your information. The Office of Inspector General received an allegation regarding possible irregularities in certain power purchase contracts awarded by the Western Area Power Administration. Based on our survey of Western's power purchase procedures, we expanded our allegation based inquiry to include several management issues. Thus, the purpose of this inspection was to review the specific allegation as well as to evaluate Western's power purchase contracting procedures relating to competition, the documentation of the solicitation, negotiation, and award processes, and the

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


261

Table A21. Quantity of Electricity Sold to Utility and Nonutility Purchasers  

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

1. Quantity of Electricity Sold to Utility and Nonutility Purchasers" 1. Quantity of Electricity Sold to Utility and Nonutility Purchasers" " by Census Region and Economic Characteristics of the Establishment, 1991" " (Estimates in Million Kilowatthours)" ,,,,"RSE" " "," ","Utility ","Nonutility","Row" "Economic Characteristics(a)","Total Sold","Purchaser(b)","Purchaser(c)","Factors" ,"Total United States",,, "RSE Column Factors:",1,1.1,1 "Value of Shipments and Receipts" "(million dollars)" " Under 20",188,122,66,35.6 " 20-49",2311,1901,410,39.5 " 50-99",2951,2721,230,9.6 " 100-249",6674,5699,974,7.1

262

Table A26. Total Quantity of Purchased Energy Sources by Census...  

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

Total Quantity of Purchased Energy Sources by Census Region and" " Economic Characteristics of the Establishment, 1991" " (Estimates in Btu or Physical Units)"...

263

U.S. Crude Oil First Purchase Price (Dollars per Barrel)  

U.S. Energy Information Administration (EIA)

Release Date: 10/1/2013: Next Release Date: 11/1/2013: Referring Pages: Domestic Crude Oil First Purchase Prices by Area

264

CNR PURCHASING ASSIGNMENTS Jessie Jessie Jessie Robin Robin Robin Nikki Nikki  

E-Print Network (OSTI)

CNR PURCHASING ASSIGNMENTS Jessie Jessie Jessie Robin Robin Robin Nikki Nikki Sanchez Sanchez Leaf Leaf Leaf Lywanda Groen Grenoble Grenoble Grenoble Dyer groenn@ leaf@ leaf@ leaf@ roberson@ 2

Silver, Whendee

265

Low Standby Power, Purchasing Specifications For Energy-Efficient Products (Fact Sheet)  

SciTech Connect

Purchasing specification prepared by the U.S. Department of Energy (DOE) Federal Energy Management Program (FEMP) for Low Standby Power products within the FEMP Designated Product program.

Not Available

2010-08-01T23:59:59.000Z

266

Energy-conservation policies for builders' purchases of domestic appliances  

SciTech Connect

Policy makers should become more interested in the impact that imposed-choice purchases of energy-using equipment by builders have on residential-sector energy consumption. Canadian data suggest that builder purchases account for 48% of the annual energy consumption attributable to all purchases of furnaces and space-heating equipment, water heaters, and major kitchen and laundry appliances. An analysis is presented of the information inputs and intervention possibilities available to policy makers interested in encouraging the specification and purchase by builders of more energy-efficient equipment. 4 figures, 5 tables.

Quelch, J.A.

1980-06-01T23:59:59.000Z

267

Market failures, consumer preferences, and transaction costs in energy efficiency purchase decisions  

E-Print Network (OSTI)

Transaction Costs, Energy Efficiency and InstitutionalTransaction Costs in Energy Efficiency Purchase Decisionsof total project costs than energy efficiency projects.

Sathaye, Jayant; Murtishaw, Scott

2004-01-01T23:59:59.000Z

268

Over 90% of uranium purchased by U.S. commercial nuclear reactors ...  

U.S. Energy Information Administration (EIA)

Uranium fuel, nuclear reactors ... and enrichment. EIA's 2010 Uranium Marketing Annual Report presents data on purchases and sales of uranium contracts and ...

269

Response Summary: Department of Energy Power Purchase Agreement Request for Information  

Energy.gov (U.S. Department of Energy (DOE))

Document describes the response summary for the U.S. Department of Energy (DOE) request for information on power purchase agreements.

270

Guide to Purchasing Green Power: Renewable Electricity, Renewable Energy Certificates, and On-Site Renewable Generation  

Energy.gov (U.S. Department of Energy (DOE))

Guide describes the details of purchasing green power. Discussion covers topics like renewable electricity, renewable energy certificates, and on-site renewable generation.

271

Table A18. Quantity of Electricity Sold to Utility and Nonutility Purchasers  

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

8. Quantity of Electricity Sold to Utility and Nonutility Purchasers" 8. Quantity of Electricity Sold to Utility and Nonutility Purchasers" " by Census Region, Industry Group, and Selected Industries, 1991" " (Estimates in Million Kilowatthours)" " "," "," "," "," ","RSE" "SIC"," "," ","Utility ","Nonutility","Row" "Code(a)","Industry Groups and Industry","Total Sold","Purchaser(b)","Purchaser(c)","Factors" ,,"Total United States" ,"RSE Column Factors:",0.9,1,1 , 20,"Food and Kindred Products",988,940,48,16.2 2011," Meat Packing Plants",0,0,0,"NF"

272

Table A31. Quantity of Electricity Sold to Utility and Nonutility Purchasers  

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

Quantity of Electricity Sold to Utility and Nonutility Purchasers by Census Region," Quantity of Electricity Sold to Utility and Nonutility Purchasers by Census Region," " Census Division, and Economic Characteristics of the Establishment, 1994" " (Estimates in Million Kilowatthours)" ,,,,"RSE" " "," ","Utility ","Nonutility","Row" "Economic Characteristics(a)","Total Sold","Purchaser(b)","Purchaser(c)","Factors" ,"Total United States",,, "RSE Column Factors:",0.9,1.1,1 "Value of Shipments and Receipts" "(million dollars)" " Under 20",222,164," Q ",23.3 " 20-49",1131,937,194,17.2

273

Macroencapsulation Equivalency Guidance for Classified Weapon Components and NNSSWAC Compliance  

Science Conference Proceedings (OSTI)

The U.S. Department of Energy (DOE) complex has a surplus of classified legacy weapon components generated over the years with no direct path for disposal. The majority of the components have been held for uncertainty of future use or no identified method of sanitization or disposal. As more weapons are retired, there is an increasing need to reduce the amount of components currently in storage or on hold. A process is currently underway to disposition and dispose of the legacy/retired weapons components across the DOE complex.

Poling, J.

2012-05-15T23:59:59.000Z

274

Table A23. Quantity of Purchased Electricity, Steam, and Natural Gas by Type  

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

3. Quantity of Purchased Electricity, Steam, and Natural Gas by Type" 3. Quantity of Purchased Electricity, Steam, and Natural Gas by Type" " of Supplier, Census Region, Industry Group, and Selected Industries, 1991" " (Estimates in Btu or Physical Units)" ,," Electricity",," Steam",," Natural Gas" ,," (Million kWh)",," (Billion Btu)",," (Billion cu ft)" ,," -------------------------",," -------------------------",," ---------------------------------------",,,"RSE" "SIC",,"Utility","Nonutility","Utility","Nonutility","Utility","Transmission","Other","Row"

275

Table A27. Quantity of Purchased Electricity, Steam, and Natural Gas by Type  

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

Quantity of Purchased Electricity, Steam, and Natural Gas by Type" Quantity of Purchased Electricity, Steam, and Natural Gas by Type" " of Supplier, Census Region, and Economic Characteristics of the Establishment," 1991 " (Estimates in Btu or Physical Units)" " "," Electricity",," Steam",," Natural Gas" ," (Million (kWh)",," (Billion Btu)",," (Billion cu ft)" ," -----------------------",," -----------------------",," ------------------------------------",,,"RSE" ,"Utility","Nonutility","Utility","Nonutility","Utility","Transmission","Other","Row"

276

A multi-category inter-purchase time model based on hierarchical Bayesian theory  

Science Conference Proceedings (OSTI)

Because of recent diversity in consumer demands and the decrease in popularity of mass media, one-to-one database marketing is being increasingly used by companies to increase their competitiveness. Many studies have addressed the issue of inter-purchase ... Keywords: Catalog shopping, Hierarchical Bayesian model, Inter-purchase time

Ruey-Shan Guo

2009-04-01T23:59:59.000Z

277

"Table A49. Average Prices of Purchased Electricity, Steam, and Natural Gas"  

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

9. Average Prices of Purchased Electricity, Steam, and Natural Gas" 9. Average Prices of Purchased Electricity, Steam, and Natural Gas" " by Type of Supplier, Census Region, and Economic Characteristics of the" " Establishment, 1991" " (Estimates in Dollars per Physical Units)" ," Electricity",," Steam",," Natural Gas" ," (Million kWh)",," (Billion Btu)",," (1000 cu ft)" ,"-","-----------","-","-----------","-","-","-","RSE" " ","Utility","Nonutility","Utility","Nonutility","Utility","Transmission","Other","Row"

278

"Table A28. Total Expenditures for Purchased Energy Sources by Census Region"  

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

Total Expenditures for Purchased Energy Sources by Census Region" Total Expenditures for Purchased Energy Sources by Census Region" " and Economic Characteristics of the Establishment, 1991" " (Estimates in Million Dollars)" " "," "," "," ",," "," "," "," "," ","RSE" " "," "," ","Residual","Distillate","Natural"," "," ","Coke"," ","Row" "Economic Characteristics(a)","Total","Electricity","Fuel Oil","Fuel Oil(b)","Gas(c)","LPG","Coal","and Breeze","Other(d)","Factors"

279

Method and system for analyzing and classifying electronic information  

DOE Patents (OSTI)

A data analysis and classification system that reads the electronic information, analyzes the electronic information according to a user-defined set of logical rules, and returns a classification result. The data analysis and classification system may accept any form of computer-readable electronic information. The system creates a hash table wherein each entry of the hash table contains a concept corresponding to a word or phrase which the system has previously encountered. The system creates an object model based on the user-defined logical associations, used for reviewing each concept contained in the electronic information in order to determine whether the electronic information is classified. The data analysis and classification system extracts each concept in turn from the electronic information, locates it in the hash table, and propagates it through the object model. In the event that the system can not find the electronic information token in the hash table, that token is added to a missing terms list. If any rule is satisfied during propagation of the concept through the object model, the electronic information is classified.

McGaffey, Robert W. (Oak Ridge, TN); Bell, Michael Allen (Powell, TN); Kortman, Peter J. (Knoxville, TN); Wilson, Charles H. (Etowah, TN)

2003-04-29T23:59:59.000Z

280

DOE to Issue Second Solicitation for Purchase of Crude Oil for the  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Issue Second Solicitation for Purchase of Crude Oil for the Issue Second Solicitation for Purchase of Crude Oil for the Strategic Petroleum Reserve DOE to Issue Second Solicitation for Purchase of Crude Oil for the Strategic Petroleum Reserve April 18, 2007 - 12:36pm Addthis Solicitation Issued for Up to Four Million Barrels WASHINGTON, DC - The U.S. Department of Energy (DOE) today announced that it has issued the second of several solicitations planned to purchase up to four million barrels of crude oil for the United States' crude oil reserve. The first solicitation, issued March 16, 2007, resulted in no awards because the Office of Fossil Energy determined that the bids were too high and not a reasonable value for taxpayers. This series of solicitations for the purchase of crude oil are planned to replace the 11 million barrels of oil sold after Hurricane Katrina. The

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


281

DOE to Purchase Heating Oil for the Northeast Home Heating Oil Reserve |  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Purchase Heating Oil for the Northeast Home Heating Oil Purchase Heating Oil for the Northeast Home Heating Oil Reserve DOE to Purchase Heating Oil for the Northeast Home Heating Oil Reserve June 23, 2008 - 1:29pm Addthis WASHINGTON, DC -The U.S. Department of Energy (DOE) today issued a solicitation seeking to purchase heating oil for the Northeast Home Heating Oil Reserve (NEHHOR) using $3 million in appropriated funds. The Northeast Home Heating Oil Reserve provides an important safety cushion for millions of Americans residing in the Northeast region of the country. Due to the modest volume of heating oil expected to be purchased with the available funds, no impact on market prices is expected. In 2007 a 35,000 barrel sale was conducted to raise funds necessary to award new long-term storage contracts to fill NEHHOR to its authorized

282

What Large Purchases or Improvements Have You Made to Save Energy? |  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Large Purchases or Improvements Have You Made to Save Energy? Large Purchases or Improvements Have You Made to Save Energy? What Large Purchases or Improvements Have You Made to Save Energy? June 4, 2009 - 3:51pm Addthis On Tuesday, Elizabeth wrote about purchasing energy-efficient appliances. New appliances can be a fairly large investment upfront, but can help you save over the life of the product. The Stay Cool, Save Money site and Energy Savers site both offer many ideas for larger investments that can help you save energy and money in the long term. What large purchases or improvements have you made to save energy? Each Thursday, you have the chance to share your thoughts on a topic related to energy efficiency or renewable energy for consumers. E-mail your responses to the Energy Saver team at consumer.webmaster@nrel.gov.

283

Table 11.5 Electricity: Sales to Utility and Nonutility Purchasers, 2010;  

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

5 Electricity: Sales to Utility and Nonutility Purchasers, 2010; 5 Electricity: Sales to Utility and Nonutility Purchasers, 2010; Level: National and Regional Data; Row: NAICS Codes; Column: Utility and Nonutility Purchasers; Unit: Million Kilowatthours. Total of NAICS Sales and Utility Nonutility Code(a) Subsector and Industry Transfers Offsite Purchaser(b) Purchaser(c) Total United States 311 Food 347 168 179 3112 Grain and Oilseed Milling 142 6 136 311221 Wet Corn Milling 14 4 10 31131 Sugar Manufacturing 109 88 21 3114 Fruit and Vegetable Preserving and Specialty Foods 66 66 0 3115 Dairy Products 22 0 22 3116 Animal Slaughtering and Processing 0 0 0 312 Beverage and Tobacco Products 1 1 * 3121 Beverages 1 1 * 3122 Tobacco 0 0 0 313 Textile Mills

284

Economical Energy Storage Option Enhances Energy Purchasing Strategies  

E-Print Network (OSTI)

Chilled Water Thermal Energy Storage (TES) offers benefits to both the electricity supplier and the electricity user. This well-established technology uses stratified chilled water to store energy in thermal form so that electricity can be purchased during off-peak periods for use during on-peak periods. This energy shift offers both the user and the generator an opportunity to match their needs to get a win-win arrangement. The advantages to the electricity user not only include lower energy costs (due to reduced demand charges or other means). Chilled Water TES has also been shown to provide added cooling for less than the chiller equipment that it offsets. Finally, the various non-standard rate structures available today offer opportunities for electricity users who have some control over their demand profile. For the electricity generator, Chilled Water TES shifts electrical load from on-peak periods to off-peak periods. This has the effect of increasing the demand for base-load power while decreasing the demand for peaking power. Also, since Chilled Water TES installations are usually fairly large (1 MW or more per site), a small number of installations will produce a significant impact on the generator’s peaking power generation requirements.

Hansen, D. W.; Winters, P. J.

1996-04-01T23:59:59.000Z

285

Scientists Classify Forest Disturbances to Grow Understanding of Climate  

NLE Websites -- All DOE Office Websites (Extended Search)

3 3 SHARE Scientists Classify Forest Disturbances to Grow Understanding of Climate Change Daniel Hayes, shown here outside of Nome, Alaska, traveled to the Arctic in June to study climate change. Image credit: Santonu Goswami Daniel Hayes, shown here outside of Nome, Alaska, traveled to the Arctic in June to study climate change. Image credit: Santonu Goswami (hi-res image) This feature describes Oak Ridge National Laboratory research presented at the 98th annual meeting of the Ecological Society of America. The theme of the meeting, held Aug. 4-9 in Minnesota, is "Sustainable Pathways: Learning From the Past and Shaping the Future." Fire, logging, insects and extreme weather can wreak havoc on forests. With support from the Department of Energy and the National Science Foundation,

286

Racial and demographic differences in household travel and fuel purchase behavior  

Science Conference Proceedings (OSTI)

Monthly fuel purchase logs from the Residential Energy Consumption Survey's Household Transportation Panel (TP) were analyzed to determine the relationship between various household characteristics and purchase frequency, tank inventories, vehicle-miles traveled, and fuel expenditures. Multiple classification analysis (MCA) was used to relate observed differences in dependent variables to such index-type household characteristics as income and residence location, and sex, race and age of household head. Because it isolates the net effect of each parameter, after accounting for the effects of all other parameters, MCA is particularly appropriate for this type of analysis. Results reveal clear differences in travel and fuel purchase behavior for four distinct groups of vehicle-owning households. Black households tend to own far fewer vehicles with lower fuel economy, to use them more intensively, to purchase fuel more frequently, and to maintain lower fuel inventories than white households. Similarly, poor households own fewer vehicles with lower fuel economy, but they drive them less intensively, purchase fuel more frequently, and maintain lower fuel inventories than nonpoor households. Elderly households also own fewer vehicles with lower fuel economy. But since they drive them much less intensively, their fuel purchases are much less frequent and their fuel inventories are higher than nonelderly households. Female-headed households also own fewer vehicles but with somewhat higher fuel economy. They drive them less intensively, maintain higher fuel inventories, and purchase fuel less frequently than male-headed households. 13 refs., 8 tabs.

Gur, Y.; Millar, M.

1987-01-01T23:59:59.000Z

287

Purchasing in PBIO: Any emergency orders must include justification as to why it is an emergency and should be  

E-Print Network (OSTI)

Purchasing in PBIO: Any emergency orders must include justification as to why it is an emergency of justification for emergency purchase in the Internal Notes area under "Review." If a shopper only, you

Arnold, Jonathan

288

Proposal for the Purchase, Without a Call for Tenders, of a Fourth Radio-Frequency Transmission Line for the SPS  

E-Print Network (OSTI)

Proposal for the Purchase, Without a Call for Tenders, of a Fourth Radio-Frequency Transmission Line for the SPS

1977-01-01T23:59:59.000Z

289

The inspection of power purchase contracts at the Western Area Power Administration  

SciTech Connect

The Office of Inspector General received an allegation regarding possible irregularities in certain power purchase contracts awarded by the Western Area Power Administration (WAPA). Based on our survey of WAPA`s power purchase procedures, we expanded our allegation based inquiry to include several management issues. Thus, the purpose of this inspection was to review the specific allegation as well as to evaluate WAPA`s power purchase contracting procedures relating to competition, the documentation of the solicitation, negotiation, and award processes, and the determination of the reasonableness of the rates negotiated by WAPA.

NONE

1995-05-01T23:59:59.000Z

290

Detection of AIBO and Humanoid Robots Using Cascades of Boosted Classifiers  

Science Conference Proceedings (OSTI)

In the present article a framework for the robust detection of mobile robots using nested cascades of boosted classifiers is proposed. The boosted classifiers are trained using Adaboost and domain-partitioning weak hypothesis. The most interesting aspect ...

Matías Arenas; Javier Ruiz-Del-Solar; Rodrigo Verschae

2008-03-01T23:59:59.000Z

291

Analysis and Evaluation of Learning Classifier Systems applied to Hyperspectral Image Classification  

Science Conference Proceedings (OSTI)

In this article, two learning classifier systems based on evolutionary techniques are described to classify remote sensing images. Usually, these images contain voluminous, complex, and sometimes erroneous and noisy data. The first approach implements ...

Arnaud Quirin; Jerzy Korczak; Martin V. Butz; David E. Goldberg

2005-09-01T23:59:59.000Z

292

Improving haar cascade classifiers through the synthesis of new training examples  

Science Conference Proceedings (OSTI)

A Genetic Programming approach for the improvement of the performance of classifier systems through the synthesis of new training instances is explored. Genetic Programming is used to exploit shortcomings of classifiers systems and generate misclassified ...

João Correia; Penousal Machado; Juan Romero

2012-07-01T23:59:59.000Z

293

Class-specific feature polynomial classifier for pattern classification and its application to handwritten numeral recognition  

Science Conference Proceedings (OSTI)

The polynomial classifier (PC) that takes the binomial terms of reduced subspace features as inputs has shown superior performance to multilayer neural networks in pattern classification. In this paper, we propose a class-specific feature polynomial ... Keywords: Class-specific feature polynomial classifier, Handwritten digit recognition, Neural classifiers, Numeral string recognition, Pattern classification

Cheng-Lin Liu; Hiroshi Sako

2006-04-01T23:59:59.000Z

294

Federal Tax Credit for Electric Vehicles Purchased in or after 2010  

NLE Websites -- All DOE Office Websites (Extended Search)

Federal Tax Credits for Electric Vehicles Purchased in or after 2010 Federal Tax Credits for Electric Vehicles Purchased in or after 2010 Photo of cash and keys Federal Tax Credit Up To $7,500! Electric vehicles (EVs) purchased in or after 2010 may be eligible for a federal income tax credit of up to $7,500. The credit amount will vary based on the capacity of the battery used to fuel the vehicle. This credit replaces an earlier credit for EVs purchased in 2009. Small neighborhood electric vehicles do not qualify for this credit, but they may qualify for another credit. Vehicle Make & Model Full Credit Phase Out No Credit 50% 25% AMP Electric Vehicles Jan. 1, 2010, to Present TBD TBD TBD GCE Electric Vehicle 2012 GCE Electric Vehicle $7,500 -- -- -- MLE Electric Vehicle 2012 MLE Electric Vehicle $7,500 -- -- -- BMW Jan. 1, 2010, to Present TBD TBD TBD

295

Los Alamos National Laboratory purchases nearly $1 billion in goods and  

NLE Websites -- All DOE Office Websites (Extended Search)

Goods and services purchases Goods and services purchases Los Alamos National Laboratory purchases nearly $1 billion in goods and services last fiscal year The Laboratory also exceeded its goals for purchases made by small businesses in Northern New Mexico, the state and the country. December 6, 2010 Los Alamos National Laboratory sits on top of a once-remote mesa in northern New Mexico with the Jemez mountains as a backdrop to research and innovation covering multi-disciplines from bioscience, sustainable energy sources, to plasma physics and new materials. Los Alamos National Laboratory sits on top of a once-remote mesa in northern New Mexico with the Jemez mountains as a backdrop to research and innovation covering multi-disciplines from bioscience, sustainable energy sources, to plasma physics and new materials.

296

U.S. Federal Government - Green Power Purchasing Goal | Department of  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

U.S. Federal Government - Green Power Purchasing Goal U.S. Federal Government - Green Power Purchasing Goal U.S. Federal Government - Green Power Purchasing Goal < Back Eligibility Fed. Government Savings Category Bioenergy Buying & Making Electricity Water Solar Wind Program Info Program Type Green Power Purchasing Provider U.S. Department of Energy The federal Energy Policy Act of 2005 (EPAct 2005) extended and expanded several previous goals and standards to reduce energy use in existing and new federal buildings. Section 203 of EPAct 2005 requires that, to the extent it is economically feasible and technically practicable, the total amount of renewable electric energy consumed by the federal government during any fiscal year shall not be less than the following: * 3% in fiscal years 2007-2009 * 5% in fiscal years 2010-2012

297

Tax Credits for Your Energy-Efficient Purchases | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Tax Credits for Your Energy-Efficient Purchases Tax Credits for Your Energy-Efficient Purchases Tax Credits for Your Energy-Efficient Purchases March 17, 2009 - 6:00am Addthis Allison Casey Senior Communicator, NREL As April 15th draws nearer, no doubt taxes are on your mind. You may be wondering whether the recently passed American Recovery and Reinvestment Act (aka the "Recovery Act") will affect your taxes for 2008. While the IRS says that the tax provisions in the Recovery Act won't affect most people's 2008 tax returns, you may already be planning an energy-efficient purchase in 2009 that will be eligible for a tax credit. Back in October, I wrote about energy tax incentives available in 2009. The Recovery Act amended the energy tax credits, and the good news is that those tax credits are still available. The even better news?

298

Level: National and Regional Data; Row: NAICS Codes; Column: Utility and Nonutility Purchasers;  

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

Next MECS will be conducted in 2010 Next MECS will be conducted in 2010 Table 11.5 Electricity: Sales to Utility and Nonutility Purchasers, 2006; Level: National and Regional Data; Row: NAICS Codes; Column: Utility and Nonutility Purchasers; Unit: Million Kilowatthours. Total of NAICS Sales and Utility Nonutility Code(a) Subsector and Industry Transfers Offsite Purchaser(b) Purchaser(c) Total United States 311 Food 111 86 25 3112 Grain and Oilseed Milling 72 51 21 311221 Wet Corn Milling 55 42 13 31131 Sugar Manufacturing 7 3 4 3114 Fruit and Vegetable Preserving and Specialty Foods 13 13 0 3115 Dairy Products 0 0 0 3116 Animal Slaughtering and Processing 0 0 0 312 Beverage and Tobacco Products * * 0 3121 Beverages

299

DOE Does Not Accept SPR Bids and Suspends Plans for Future Purchases |  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

SPR Bids and Suspends Plans for Future SPR Bids and Suspends Plans for Future Purchases DOE Does Not Accept SPR Bids and Suspends Plans for Future Purchases May 2, 2007 - 12:45pm Addthis WASHINGTON, DC - The U.S. Department of Energy's Office of Fossil Energy has rejected all offers received from the second solicitation issued this spring that sought to purchase up to four million barrels of crude oil for the United States' crude oil reserve. Both solicitations resulted in no awards because the Department determined that the bids were too high and not a reasonable value for taxpayers. The solicitations for the purchase of crude oil were meant to replace oil sold on an emergency basis after Hurricane Katrina caused significant damage to the production, distribution, and refining capabilities of the

300

U.S. less Alaskan North Slope Crude Oil First Purchase Price ...  

U.S. Energy Information Administration (EIA)

51.02: 60.22: 67.04: 94.72: 56.65: 2010's: 75.04: 95.35: 94.11 ... Domestic Crude Oil First Purchase Prices by Area ...

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


301

U.S. Crude Oil First Purchase Price (Dollars per Barrel)  

U.S. Energy Information Administration (EIA)

View History: Monthly Annual : Download Data (XLS File) U.S. Crude Oil First Purchase Price (Dollars per Barrel) Decade Year-0 Year-1 Year-2 Year-3 Year-4

302

Federal Tax Credits for Plug-in Hybrids Purchased in or after...  

NLE Websites -- All DOE Office Websites (Extended Search)

Hybrids Photo of cash and keys Federal Tax Credit Up To 7,500 Plug-in hybrid-electric vehicles (PHEVs) purchased in or after 2010 may be eligible for a federal income tax...

303

Performance Profiles Table Browser: T-32. U.S. Purchases and Sales ...  

U.S. Energy Information Administration (EIA)

Biofuels: Ethanol & Biodiesel ... Total Raw Materials. 79,741 96,409 117,486 117,062 118,177 155,040 90,117 Purchases. U.S. Refining/Marketing ...

304

Table 7.5 Average Prices of Selected Purchased Energy Sources, 2002  

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

5 Average Prices of Selected Purchased Energy Sources, 2002;" 5 Average Prices of Selected Purchased Energy Sources, 2002;" " Level: National and Regional Data; " " Row: Values of Shipments and Employment Sizes;" " Column: Energy Sources;" " Unit: U.S. Dollars per Million Btu." " ",," "," ",," "," ","RSE" "Economic",,"Residual","Distillate","Natural ","LPG and",,"Row" "Characteristic(a)","Electricity","Fuel Oil","Fuel Oil(b)","Gas(c)","NGL(d)","Coal","Factors" ,"Total United States"

305

Table N8.2. Average Prices of Purchased Energy Sources, 1998  

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

2. Average Prices of Purchased Energy Sources, 1998;" 2. Average Prices of Purchased Energy Sources, 1998;" " Level: National and Regional Data; " " Row: NAICS Codes; Column: All Energy Sources Collected;" " Unit: U.S. Dollars per Million Btu." ,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Selected","Wood and Other","Biomass","Components" ,,,,,,,"Coal Components",,,"Coke",,"Electricity","Components",,,,,,,,,,,,,"Natural Gas","Components",,"Steam","Components" ,,,,,,,,,,,,,,"Total",,,,,,,,,,,,,,,,,,,,,,,"Wood Residues" " "," "," ",,,,,"Bituminous",,,,,,"Electricity","Diesel Fuel",,,,,,"Motor",,,,,,,"Natural Gas",,,"Steam",,,," ",,,"and","Wood-Related",," ",," "

306

"Table A25. Average Prices of Selected Purchased Energy Sources by Census"  

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

. Average Prices of Selected Purchased Energy Sources by Census" . Average Prices of Selected Purchased Energy Sources by Census" " Region, Industry Group, and Selected Industries, 1991: Part 1" " (Estimates in Dollars per Physical Unit)" ,,,,," " " "," "," ","Residual","Distillate","Natural Gas(c)"," "," ","RSE" "SIC"," ","Electricity","Fuel Oil","Fuel Oil(b)","(1000","LPG","Coal","Row" "Code(a)","Industry Groups and Industry","(kWh)","(gallon)","(gallon)","cu ft)","(gallon)","(short ton)","Factors"

307

"Table A37. Total Expenditures for Purchased Energy Sources by Census Region,"  

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

7. Total Expenditures for Purchased Energy Sources by Census Region," 7. Total Expenditures for Purchased Energy Sources by Census Region," " Census Division, and Economic Characteristics of the Establishment, 1994" " (Estimates in Million Dollars)" " "," "," "," ",," "," "," "," "," ","RSE" " "," "," ","Residual","Distillate","Natural"," "," ","Coke"," ","Row" "Economic Characteristics(a)","Total","Electricity","Fuel Oil","Fuel Oil(b)","Gas(c)","LPG","Coal","and Breeze","Other(d)","Factors"

308

Table 7.1 Average Prices of Purchased Energy Sources, 2002  

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

Average Prices of Purchased Energy Sources, 2002;" Average Prices of Purchased Energy Sources, 2002;" " Level: National and Regional Data; " " Row: NAICS Codes;" " Column: All Energy Sources Collected;" " Unit: U.S. Dollars per Physical Units." ,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Selected Wood and Other Biomass Components" ,,,,,,"Coal Components",,,"Coke",,,"Electricity Components",,,,,,,,,,,,,,"Natural Gas Components",,,"Steam Components" ,,,,,,,,,,,,,,"Total",,,,,,,,,,,,,,,,,,,,,,,"Wood Residues" " "," "," ",,,,,"Bituminous",,,,,,"Electricity","Diesel Fuel",,,,,,"Motor",,,,,,,"Natural Gas",,,"Steam",,,," ",,,"and","Wood-Related",," ",," "

309

Table 7.2 Average Prices of Purchased Energy Sources, 2002  

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

2 Average Prices of Purchased Energy Sources, 2002;" 2 Average Prices of Purchased Energy Sources, 2002;" " Level: National and Regional Data; " " Row: NAICS Codes; " " Column: All Energy Sources Collected;" " Unit: U.S. Dollars per Million Btu." ,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Selected Wood and Other Biomass Components" ,,,,,,"Coal Components",,,"Coke",,,"Electricity Components",,,,,,,,,,,,,,"Natural Gas Components",,,"Steam Components" ,,,,,,,,,,,,,,"Total",,,,,,,,,,,,,,,,,,,,,,,"Wood Residues" " "," "," ",,,,,"Bituminous",,,,,,"Electricity","Diesel Fuel",,,,,,"Motor",,,,,,,"Natural Gas",,,"Steam",,,," ",,,"and","Wood-Related",," ",," "

310

"Table A38. Total Expenditures for Purchased Electricity, Steam, and Natural Gas"  

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

8. Total Expenditures for Purchased Electricity, Steam, and Natural Gas" 8. Total Expenditures for Purchased Electricity, Steam, and Natural Gas" " by Type of Supplier, Census Region, Census Division, Industry Group," " and Selected Industries, 1994" " (Estimates in Million Dollars)" ,," Electricity",," Steam" ,,,,,,"RSE" "SIC",,"Utility","Nonutility","Utility","Nonutility","Row" "Code(a)","Industry Group and Industry","Supplier(b)","Supplier(c)","Supplier(b)","Supplier(c)","Factors" ,,"Total United States"

311

Table 7.4 Average Prices of Selected Purchased Energy Sources, 2002  

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

4 Average Prices of Selected Purchased Energy Sources, 2002;" 4 Average Prices of Selected Purchased Energy Sources, 2002;" " Level: National and Regional Data; " " Row: Values of Shipments and Employment Sizes;" " Column: Energy Sources;" " Unit: U.S. Dollars per Physical Units." " ",," "," ",," "," " ,,"Residual","Distillate","Natural ","LPG and",,"RSE" "Economic","Electricity","Fuel Oil","Fuel Oil(b)","Gas(c)","NGL(d)","Coal","Row" "Characteristic(a)","(kWh)","(gallons)","(gallons)","(1000 cu ft)","(gallons)","(short tons)","Factors"

312

"Table A46. Total Expenditures for Purchased Electricity, Steam, and Natural"  

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

6. Total Expenditures for Purchased Electricity, Steam, and Natural" 6. Total Expenditures for Purchased Electricity, Steam, and Natural" " Gas by Type of Supplier, Census Region, Industry Group, and Selected Industries," 1991 " (Estimates in Million Dollars)" ,," Electricity",," Steam",," Natural Gas" ,,"-","-----------","-","-----------","-","------------","-","RSE" "SIC",,"Utility","Nonutility","Utility","Nonutility","Utility","Transmission","Other","Row" "Code(a)","Industry Groups and Industry","Supplier(b)","Supplier(c)","Supplier(b)","Supplier(c)","Supplier(b)","Pipelines","Supplier(d)","Factors"

313

"Table A36. Total Expenditures for Purchased Energy Sources by Census Region,"  

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

6. Total Expenditures for Purchased Energy Sources by Census Region," 6. Total Expenditures for Purchased Energy Sources by Census Region," " Census Division, Industry Group, and Selected Industries, 1994" " (Estimates in Million Dollars)" ,,,,,,,,,,,"RSE" "SIC"," "," "," ","Residual","Distillate ","Natural"," "," ","Coke"," ","Row" "Code(a)","Industry Group and Industry","Total","Electricity","Fuel Oil","Fuel Oil(b)","Gas(c)","LPG","Coal","and Breeze","Other(d)","Factors" ,,"Total United States"

314

"Table E8.1. Average Prices of Selected Purchased Energy Sources, 1998;"  

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

1. Average Prices of Selected Purchased Energy Sources, 1998;" 1. Average Prices of Selected Purchased Energy Sources, 1998;" " Level: National and Regional Data; " " Row: Values of Shipments and Employment Sizes;" " Column: Energy Sources;" " Unit: U.S. Dollars per Physical Units." " ",," "," ",," "," " ,,"Residual","Distillate",,"LPG and",,"RSE" "Economic","Electricity","Fuel Oil","Fuel Oil(b)","Natural Gas(c)","NGL(d)","Coal","Row" "Characteristic(a)","(kWh)","(gallons)","(gallons)","(1000 cu ft)","(gallons)","(short tons)","Factors"

315

"Table E8.2. Average Prices of Selected Purchased Energy Sources, 1998;"  

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

2. Average Prices of Selected Purchased Energy Sources, 1998;" 2. Average Prices of Selected Purchased Energy Sources, 1998;" " Level: National and Regional Data; " " Row: Values of Shipments and Employment Sizes;" " Column: Energy Sources;" " Unit: U.S. Dollars per Million Btu." " ",," "," ",," "," ","RSE" "Economic",,"Residual","Distillate",,"LPG and",,"Row" "Characteristic(a)","Electricity","Fuel Oil","Fuel Oil(b)","Natural Gas(c)","NGL(d)","Coal","Factors" ,"Total United States"

316

"Table A48. Total Expenditures for Purchased Electricity, Steam, and Natural"  

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

8. Total Expenditures for Purchased Electricity, Steam, and Natural" 8. Total Expenditures for Purchased Electricity, Steam, and Natural" " Gas by Type of Supplier, Census Region, and Economic Characteristics of the" " Establishment, 1991" " (Estimates in Million Dollars)" ," Electricity",," Steam",," Natural Gas" ,"-","-----------","-","-----------","-","------------","-----------","RSE" " ","Utility","Nonutility","Utility","Nonutility","Utility","Transmission","Other","Row" "Economic Characteristics(a)","Supplier(b)","Supplier(c)","Supplier(b)","Supplier(c)","Supplier(b)","Pipelines","Supplier(d)","Factors"," "

317

Template-based Action Recognition: Classifying Hockey Players’ Movement  

E-Print Network (OSTI)

Although action recognition is remarkably easy for people, it is a difficult task for computers. A moving camera that takes broadcast-quality videos makes this even more difficult. This research focuses on actions at a medium distance. That is, a typical figure has a resolution of dozens of pixels in each dimension. The system is demonstrated using videos of ice hockey sport. An approach that breaks the problem into three sub-problems is taken. Figures of hockey players are first tracked with a self-initializing tracker. The stabilization process then refines the rough estimates about scale and position of a figure given by the tracker. Taking the stabilized results given by the stabilization process, the action recognition system uses motion and pose features to classify actions. A new stabilization algorithm is developed. The method uses a mixture of templates to estimate the position and scale of a figure. It helps to alleviate some of the accuracy and consistency problems. The consistency of the template library is addressed with a procedure that iteratively selects templates to better fit the training data. Our method is shown to consistently outperform a typical approach that uses only the best match with a set of synthetic image sequences. The research makes novel use of image gradients. It decomposes image gradients into four non-negative components. The decomposed image gradients (DIGs) are used to characterize poses. Quantitative performance comparisons are made between methods that use motion and pose features. The experiments show clear evidence that, for the kind of data that this research is interested in, pose features are better than motion features in terms of classification accuracy. The pose features are also superior to the motion features in terms of computational efficiency.

Xiaojing Wu

2005-01-01T23:59:59.000Z

318

ORIGINAL PAPER Barriers to Pharmacy-Based Syringe Purchase Among Injection Drug Users in Tijuana, Mexico: A Mixed Methods Study  

E-Print Network (OSTI)

Ó The Author(s) 2010. This article is published with open access at Springerlink.com Abstract Injection drug users (IDUs) may be denied purchase of sterile syringes even where purchase without a prescription is legal. This study examined barriers to overthe-counter (OTC) syringe purchase among IDUs in Tijuana, Mexico. A quantitative survey and subsequent focus groups were used to quantify barriers to purchase, identify their correlates and provide in-depth exploration of syringe purchase experiences. Of 627 IDUs, 81 % purchased a syringe in the past 6 months and 16 % were refused or overcharged. Factors independently associated with refusal/overcharging were homelessness, receptive syringe sharing, [5 uses per syringe, and number of lifetime abscesses. Few pharmacies sold syringes to IDUs, who adapted by limiting purchase attempts to pharmacies known to sell syringes consistently. Failed purchases occurred when drug withdrawal required purchase at unusual times or locations, often following release from jail. IDUs reported syringe sharing, syringe reuse, and searching through unsecured medical waste for syringes in response to failed purchase attempts. Interventions to expand OTC syringe sales to IDUs, particularly near detention facilities, will facilitate safer injection practices.

Robin A. Pollini; Remedios Lozada; Manuel Gallardo; Perth Rosen; Alicia Vera Arm; O Macias; R. A. Pollini; P. Rosen A. Vera; L. A. Palinkas; S. A. Strathdee; R. Lozada; M. Gallardo; A. Macias; L. A. Palinkas

2010-01-01T23:59:59.000Z

319

MMCR Spectra-based Hydrometeor Phase Classifier: Evaluation & New Insights  

NLE Websites -- All DOE Office Websites (Extended Search)

MMCR Spectra-based Hydrometeor Phase Classifier: Evaluation & New Insights MMCR Spectra-based Hydrometeor Phase Classifier: Evaluation & New Insights Edward Luke 1 , Pavlos Kollias 1 , Matthew Shupe 2 1. Brookhaven National Laboratory 2. CIRES/NOAA/ETL Predicting HSRL depolarization with MMCR classifier Actual Depolarization Predicted Depolarization How accurately can combined HSRL, MMCR, MWR, and radiosonde generate the "golden" phase retrievals needed to train an MMCR-only classifier? For further discussion see Shupe, 2007. How well can the MMCR-only classifier predict the phase of "golden" retrievals it has not been trained on? We focus here on this second question. KEY EVALUATION QUESTIONS Classifier Sensitivity to Certain Input Parameters Probability Distributions of Certain Input Parameters Probability of Correct Phase Classification

320

Table 11.6 Electricity: Sales to Utility and Nonutility Purchasers, 2010;  

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

6 Electricity: Sales to Utility and Nonutility Purchasers, 2010; 6 Electricity: Sales to Utility and Nonutility Purchasers, 2010; Level: National and Regional Data; Row: Values of Shipments and Employment Sizes; Column: Utility and Nonutility Purchasers; Unit: Million Kilowatthours. Total of Economic Sales and Utility Nonutility Characteristic(a) Transfers Offsite Purchaser(b) Purchaser(c) Total United States Value of Shipments and Receipts (million dollars) Under 20 194 100 93 20-49 282 280 3 50-99 1,115 922 194 100-249 5,225 4,288 936 250-499 5,595 2,696 2,899 500 and Over 20,770 12,507 8,263 Total 33,181 20,793 12,388 Employment Size Under 50 395 177 218 50-99 3,412 3,408 5 100-249 6,687 3,088 3,599 250-499 5,389 4,175 1,214 500-999 7,082 3,635 3,447

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While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
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321

Pallets of PV: Communities Purchase Solar and Drive Down Costs Together |  

Open Energy Info (EERE)

Pallets of PV: Communities Purchase Solar and Drive Down Costs Together Pallets of PV: Communities Purchase Solar and Drive Down Costs Together Home > Groups > OpenEI Community Central Graham7781's picture Submitted by Graham7781(2002) Super contributor 5 July, 2012 - 13:20 imported OpenEI Article originally published at NREL's Renewable Energy Project Finance website Think of it like Costco or Sam's Club for purchasing solar photovolatics (PV). Some savvy folks in Oregon thought it would be a great idea to buy PV in bulk for their neighborhood to get a big volume discount and share the savings with neighbors. So they created the Solarize campaign, which over the last three years has helped Portland add "[more than] 1.7 MW of distributed PV and [establish] a strong, steady solar installation economy" [1]. In fact, so successful was the Portland model that several other

322

Table 7.10 Expenditures for Purchased Electricity, Natural Gas, and Steam, 2010;  

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

0 Expenditures for Purchased Electricity, Natural Gas, and Steam, 2010; 0 Expenditures for Purchased Electricity, Natural Gas, and Steam, 2010; Level: National and Regional Data; Row: NAICS Codes; Column: Supplier Sources of Purchased Electricity, Natural Gas, and Steam; Unit: Million U.S. Dollars. Electricity Components Natural Gas Electricity Electricity from Sources Natural Gas NAICS Electricity from Local Other than Natural Gas from Local Code(a) Subsector and Industry Total Utility(b) Local Utility(c) Total Utility(b) Total United States 311 Food 5,328 4,635 692 3,391 1,675 3112 Grain and Oilseed Milling 932 850 82 673 261 311221 Wet Corn Milling 352 331 21 296 103 31131 Sugar Manufacturing 105 87 18 87 39 3114 Fruit and Vegetable Preserving and Specialty Foods 698

323

Purchasing a New Energy-Efficient Central Heating System | Department of  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Purchasing a New Energy-Efficient Central Heating System Purchasing a New Energy-Efficient Central Heating System Purchasing a New Energy-Efficient Central Heating System October 21, 2008 - 4:00am Addthis John Lippert Energy prices are skyrocketing. According to the Energy Information Administration's October 7, 2008 forecast, heating fuel expenditures for the average household using oil as its primary heating fuel are expected to increase by $449 over last winter. Households using natural gas to heat their homes can expect to pay $155 more this winter, on average, than last year, and those using propane can expect to pay $188 more. Households heating primarily with electricity can expect to pay an average of $89 more. That's a lot of money resulting solely from rising heating expenses. You may long for the "good old days," but when it comes to heating systems,

324

Purchasing a New Energy-Efficient Central Heating System | Department of  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Purchasing a New Energy-Efficient Central Heating System Purchasing a New Energy-Efficient Central Heating System Purchasing a New Energy-Efficient Central Heating System October 21, 2008 - 4:00am Addthis John Lippert Energy prices are skyrocketing. According to the Energy Information Administration's October 7, 2008 forecast, heating fuel expenditures for the average household using oil as its primary heating fuel are expected to increase by $449 over last winter. Households using natural gas to heat their homes can expect to pay $155 more this winter, on average, than last year, and those using propane can expect to pay $188 more. Households heating primarily with electricity can expect to pay an average of $89 more. That's a lot of money resulting solely from rising heating expenses. You may long for the "good old days," but when it comes to heating systems,

325

FY 2010 CONTRACTOR PURCHASING BALANCED SCORECARD RESULTS DEPARTMENTAL AVERAGES BY FISCAL YEAR  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

FY 2010 CONTRACTOR PURCHASING BALANCED SCORECARD RESULTS FY 2010 CONTRACTOR PURCHASING BALANCED SCORECARD RESULTS DEPARTMENTAL AVERAGES BY FISCAL YEAR FY 2010 FY 2006 FY 2007 FY 2008 FY 2009 FY 2010 National Targets Customer Perspective Objective: Customer Satisfaction 94 94 95 95 94 92 Core Measure: Customer Satisfaction Rating Internal Business Perspective Objective: Effective Internal Controls 94 95 97 97 95 N/A - locally set Core Measure: assessment of degree to which purchasing systems are in compliance Objective: Effective Supplier Management 83 83 84 86 85 84 Core Measure: % Delivery on-time, including Just-in-Time Objective: Use of Effective Competition 69 71 67 74 75 N/A - locally set

326

Table 7.3 Average Prices of Purchased Electricity, Natural Gas, and Steam, 2010;  

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

3 Average Prices of Purchased Electricity, Natural Gas, and Steam, 2010; 3 Average Prices of Purchased Electricity, Natural Gas, and Steam, 2010; Level: National and Regional Data; Row: NAICS Codes; Column: Supplier Sources of Purchased Electricity, Natural Gas, and Steam; Unit: U.S. Dollars per Physical Units. Electricity Components Natural Gas Components Steam Components Electricity Natural Gas Steam Electricity from Sources Natural Gas from Sources Steam from Sources Electricity from Local Other than Natural Gas from Local Other than Steam from Local Other than NAICS Total Utility(b) Local Utility(c) Total Utility(b) Local Utility(c) Total Utility(b) Local Utility(c) Code(a) Subsector and Industry (kWh) (kWh) (kWh) (1000 cu ft) (1000 cu ft) (1000 cu ft) (million Btu)

327

Utility to Purchase Low-Carbon Power from Innovative Clean Coal Plant |  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Utility to Purchase Low-Carbon Power from Innovative Clean Coal Utility to Purchase Low-Carbon Power from Innovative Clean Coal Plant Utility to Purchase Low-Carbon Power from Innovative Clean Coal Plant January 19, 2012 - 5:00pm Addthis Lawrence Livermore National Laboratory demonstrated coal gasification in large-scale field experiments at the Rocky Mountain Test Facility (above) near Hanna, Wyoming. Coal gasification and sequestration of the carbon dioxide produced are among the technologies being used in the Texas Clean Energy Project. | Photo courtesy of llnlphotos. Lawrence Livermore National Laboratory demonstrated coal gasification in large-scale field experiments at the Rocky Mountain Test Facility (above) near Hanna, Wyoming. Coal gasification and sequestration of the carbon

328

FY 2008 CONTRACTOR PURCHASING BALANCED SCORECARD RESULTS DEPARTMENTAL AVERAGES BY FISCAL YEAR  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

8 CONTRACTOR PURCHASING BALANCED SCORECARD RESULTS 8 CONTRACTOR PURCHASING BALANCED SCORECARD RESULTS DEPARTMENTAL AVERAGES BY FISCAL YEAR FY 2008 FY 2004 FY 2005 FY2006 FY2007 FY2008 National Taraets Customer Perspective Objective: Customer Satisfaction 93 9 3 Core Measure: Customer Satisfaction Rating Internal Business Perspective Objective: Effective Internal Controls 95 93 Core Measure: assessment of degree to which purchasing systems are in compliance Objective: Effective Supplier Management 8 3 8 1 Core Measure: % Delivery on-time, including Just-in-Time Objective: Use of Effective Competition 7 1 74 Core Measure: % of total dollars obligated on actions over $100,000 that were competed N/A - locally set 84 N/A - locally set 2 FY 2008 FY 2004 FY 2005 FY2006 FY 2007 FY2008 National Tarpets

329

FY 2009 CONTRACTOR PURCHASING BALANCED SCORECARD RESULTS DEPARTMENTAL AVERAGES BY FISCAL YEAR  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

9 CONTRACTOR PURCHASING BALANCED SCORECARD RESULTS 9 CONTRACTOR PURCHASING BALANCED SCORECARD RESULTS DEPARTMENTAL AVERAGES BY FISCAL YEAR FY 2009 FY2005 FY2006 FY 2007 FY 2008 FY 2009 National Tarpets Customer Perspective Objective: Customer Satisfaction Core Measure: Customer Satisfaction Rating Internal Business Perspective Objective: Effective Internal Controls 93 94 Core Measure: assessment of degree to which purchasing systems are in compliance Objective: Effective Supplier Management 8 1 83 Core Measure: % Delivery on-time, including Just-in-Time Objective: Use of Effective Competition 74 69 Core Measure: % of total dollars obligated on actions over $100,000 that were competed 97 97 N/A - locally set 84 8 6 84 67 74 N/A - locally set 2 FY 2009 FY 2005 FY 2006 FY 2007 FY 2008 FY2009 National Targets

330

Table 7.7 Quantity of Purchased Electricity, Natural Gas, and Steam, 2010;  

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

7 Quantity of Purchased Electricity, Natural Gas, and Steam, 2010; 7 Quantity of Purchased Electricity, Natural Gas, and Steam, 2010; Level: National and Regional Data; Row: NAICS Codes; Column: Supplier Sources of Purchased Electricity, Natural Gas, and Steam; Unit: Physical Units or Btu. Electricity Components Natural Gas Components Steam Components Electricity Natural Gas Steam Electricity from Sources Natural Gas from Sources Steam from Sources Electricity from Local Other than Natural Gas from Local Other than Steam from Local Other than NAICS Total Utility(b) Local Utility(c) Total Utility(b) Local Utility(c) Total Utility(b) Local Utility(c) Code(a) Subsector and Industry (million kWh) (million kWh) (million kWh) (billion cu ft) (billion cu ft)

331

"Table A32. Total Quantity of Purchased Energy Sources by Census Region,"  

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

Quantity of Purchased Energy Sources by Census Region," Quantity of Purchased Energy Sources by Census Region," " Census Division, Industry Group, and Selected Industries, 1994" " (Estimates in Btu or Physical Units)" ,,,,,,"Natural",,,"Coke" " "," ","Total","Electricity","Residual","Distillate","Gas(c)"," ","Coal","and Breeze"," ","RSE" "SIC"," ","(trillion","(million","Fuel Oil","Fuel Oil(b)","(billion","LPG","(1000","(1000","Other(d)","Row" "Code(a)","Industry Group and Industry","Btu)","kWh)","(1000 bbl)","(1000 bbl)","cu ft)","(1000 bbl)","short tons)","short tons)","(trillion Btu)","Factors"

332

"Table A25 Average Prices of Selected Purchased Energy Sources by Census"  

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

Average Prices of Selected Purchased Energy Sources by Census" Average Prices of Selected Purchased Energy Sources by Census" " Region, Industry Group, and Selected Industries, 1991: Part 2" " (Estimates in Dollars per Million Btu)" ,,,,,,,,"RSE" "SIC"," "," ","Residual","Distillate"," "," "," ","Row" "Code(a)","Industry Groups and Industry","Electricity","Fuel Oil","Fuel Oil(b)","Natural Gas(c)","LPG","Coal","Factors" ,,"Total United States" ,"RSE Column Factors:",0.7,0.8,1,2.8,1,0.7 20,"Food and Kindred Products",15.789,2.854,6.064,2.697,7.596,1.433,4.5

333

Guide to Purchasing Green Power: Renewable Electricity, Renewable Energy Certificates, and On-Site Renewable Generation  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Purchasing Green Power Renewable Electricity, Renewable Energy Certificates, and On-Site Renewable Generation DOE/EE-0307 This guide can be downloaded from: www1.eere.energy.gov/femp/technologies/renewable_purchasingpower.html www.epa.gov/greenpower/ www.wri.org/publications www.resource-solutions.org/publications.php Office of Air (6202J) EPA430-K-04-015 www.epa.gov/greenpower March 2010 ISBN: 1-56973-577-8 Guide to Purchasing Green Power i Table of Contents Summary ........................................................................................................................................................1 Chapter 1: Introduction ....................................................................................................................................2

334

Acquisition Guide - Chapter 13.1 - Purchase Card Policy and Operating Procedures  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

SmartPay participants must supplement SmartPay participants must supplement these policies and procedures to reflect their specific circumstances, e.g., identify your Organizational Program Coordinator; identify your central receiving office, etc. Revisions must not delete prohibitions or reduce the level of controls required by the Federal Acquisition Regulations, Office of Management and Budget, General Services Administration (GSA) or these DOE Procedures. PURCHASE CARD POLICY AND OPERATING PROCEDURES CHAPTER 13.1 August 2012 ii Summary of the significant changes to the Guide include additions and modifications to the following: * Web addresses * Definitions and Acronyms * Increasing opportunities for small businesses at or below the micro-purchase threshold

335

Vehicle purchase and use data matrices: J. D. Power/DOE New Vehicle Owner Surveys  

DOE Green Energy (OSTI)

Vehicle purchase and use data collected in two recent surveys from buyers of new 1978 and 1979 cars and light-duty trucks are presented. The survey information is broad in scope, extending from the public awareness of fuel economy information to decision-making in the purchase process, to in-use fuel economy. The survey data consequently have many applications in transportation studies. The objective of this report is to make a general summary of the data base contents available to interested individuals and organizations.

Crawford, R.; Dulla, R.

1981-04-01T23:59:59.000Z

336

"Table A24. Total Expenditures for Purchased Energy Sources by Census Region,"  

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

4. Total Expenditures for Purchased Energy Sources by Census Region," 4. Total Expenditures for Purchased Energy Sources by Census Region," " Industry Group, and Selected Industries, 1991" " (Estimates in Million Dollars)" ,,,,,,,,,,,"RSE" "SIC"," "," "," ","Residual","Distillate ","Natural"," "," ","Coke"," ","Row" "Code(a)","Industry Groupsc and Industry","Total","Electricity","Fuel Oil","Fuel Oil(b)","Gas(c)","LPG","Coal","and Breeze","Other(d)","Factors" ,,"Total United States" ,"RSE Column Factors:","0.6 ",0.6,1.3,1.3,0.7,1.2,1.2,1.5,1.1

337

"Table A22. Total Quantity of Purchased Energy Sources by Census Region,"  

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

2. Total Quantity of Purchased Energy Sources by Census Region," 2. Total Quantity of Purchased Energy Sources by Census Region," " Industry Group, and Selected Industries, 1991" " (Estimates in Btu or Physical Units)" ,,,,,,"Natural",,,"Coke" " "," ","Total","Electricity","Residual","Distillate","Gas(c)"," ","Coal","and Breeze"," ","RSE" "SIC"," ","(trillion","(million","Fuel Oil","Fuel Oil(b)","(billion","LPG","(1000","(1000","Other(d)","Row" "Code(a)","Industry Groups and Industry","Btu)","kWh)","(1000 bbls)","(1000 bbls)","cu ft)","(1000 bbls)","short tons)","short tons)","(trillion Btu)","Factors"

338

The Effects of Price Discrimination on Buyer¡¦s Internal Reference Price and Post-purchase Emotions.  

E-Print Network (OSTI)

??This article examines whether price discrimination affects consumer price perceptions and emotions. Questionnaires involving various purchasing scenarios indicate that all kinds of price discrimination decrease… (more)

Huang, Siang-hua

2007-01-01T23:59:59.000Z

339

An empirical evaluation of rotation-based ensemble classifiers for customer churn prediction  

Science Conference Proceedings (OSTI)

Several studies have demonstrated the superior performance of ensemble classification algorithms, whereby multiple member classifiers are combined into one aggregated and powerful classification model, over single models. In this paper, two rotation-based ... Keywords: AUC, CRM, Customer churn prediction, Database marketing, Ensemble classification, ICA, Lift, RotBoost, Rotation Forest, Rotation-based ensemble classifiers

Koen W. De Bock; Dirk Van den Poel

2011-09-01T23:59:59.000Z

340

A extraction of emotion in human speech using speech synthesize and each classifier for each emotion  

Science Conference Proceedings (OSTI)

In order to estimate emotion in speech, most researchers make a classifier based on features in speech, for example power (sound pressure) and the fundamental frequency, gotten from human speech. But validity of estimation using the classifier is not ... Keywords: emotion, extraction emotion in speech, linear discriminant analysis, regression tree, speech synthesize

Masaki Kurematsu; Jun Hakura; Hamido Fujita

2007-11-01T23:59:59.000Z

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


341

2005 Special Issue: A hierarchical classifier using new support vector machines for automatic target recognition  

Science Conference Proceedings (OSTI)

A binary hierarchical classifier is proposed for automatic target recognition. We also require rejection of non-object (non-target) inputs, which are not seen during training or validation, thus producing a very difficult problem. The SVRDM (support ... Keywords: Automatic target recognition, Hierarchical classifier, Support vector machine

David Casasent; Yu-Chiang Wang

2005-06-01T23:59:59.000Z

342

Fast k-NN classifier for documents based on a graph structure  

Science Conference Proceedings (OSTI)

In this paper, a fast k nearest neighbors (k-NN) classifier for documents is presented. Documents are usually represented in a high-dimensional feature space, where their terms are treated as features and the weight of each term reflects its importance ... Keywords: fast nearest neighbor search, nearest neighbor classifier, text documents

Fernando José Artigas-Fuentes; Reynaldo Gil-García; José Manuel Badía-Contelles; Aurora Pons-Porrata

2010-11-01T23:59:59.000Z

343

Improving the accuracy of the optimum-path forest supervised classifier for large datasets  

Science Conference Proceedings (OSTI)

In this work, a new approach for supervised pattern recognition is presented which improves the learning algorithm of the Optimum-Path Forest classifier (OPF), centered on detection and elimination of outliers in the training set. Identification of outliers ... Keywords: learning algorithm, optimum-path forest classifier, outlier detection, supervised classification

César Castelo-Fernández; Pedro J. De Rezende; Alexandre X. Falcão; João Paulo Papa

2010-11-01T23:59:59.000Z

344

Classified Staff Faculty/Contract Low Risk TRS TIAA-CREF*  

E-Print Network (OSTI)

Classified Staff Faculty/Contract Low Risk TRS TIAA-CREF* Worker's Compensation 0.670% 0.670% 0.410% TRS TIAA-CREF* Hourly Minimum Wage for Classified - $10.00 Work/Non-Work Study (taking less than 6

Crone, Elizabeth

345

2007 Special Issue: Automatic speech recognition using a predictive echo state network classifier  

Science Conference Proceedings (OSTI)

We have combined an echo state network (ESN) with a competitive state machine framework to create a classification engine called the predictive ESN classifier. We derive the expressions for training the predictive ESN classifier and show that the model ... Keywords: Automatic speech recognition, Echo state network, Mixture of experts, Noise robustness

Mark D. Skowronski; John G. Harris

2007-04-01T23:59:59.000Z

346

TEXAS SALES AND USE TAX EXEMPTION CERTIFICATION Name of purchaser, firm or agency  

E-Print Network (OSTI)

TEXAS SALES AND USE TAX EXEMPTION CERTIFICATION Name of purchaser, firm or agency Address (Street Tax Act; County Health Services Sales and Use Tax; The Texas Health and Safety Code; Special certificate to the Comptroller of Public Accounts. 01-339 (Back) (Rev. 11-95/3) Texas AgriLife Research

347

Virtual item sales as a revenue model: identifying attributes that drive purchase decisions  

Science Conference Proceedings (OSTI)

The global market for virtual items, characters and currencies was estimated to exceed 2.1 Billion USD in 2007. Selling virtual goods for real money is an increasingly common revenue model not only for online games and virtual worlds, but for social ... Keywords: Business model, Consumer behaviour, Online communities, Purchase drivers, RMT, Virtual consumption

Vili Lehdonvirta

2009-06-01T23:59:59.000Z

348

How Presentation Flaws Affect Perceived Site Quality, Trust, and Intention to Purchase from an Online Store  

Science Conference Proceedings (OSTI)

Although there has been a great deal of research on impression formation, little application of that research has been made to electronic commerce. A research model was constructed that hypothesized errors, poor style, and incompleteness to be inversely ... Keywords: Intention To Purchase, Trust In E-Commerce, Web Site Credibility, Web Site Presentation Flaws, Web Site Quality

Andrea Everard; Dennis F. Galletta

2006-01-01T23:59:59.000Z

349

Fuzzy system approach to power purchases in a power pool of a deregulated power system  

Science Conference Proceedings (OSTI)

Fuzzy Logic is known for its applicability in modelling uncertainty and has been applied extensively to model various types of uncertainty in engineering sector. The main objective of this paper is to present a fuzzy approach to power purchases in a ...

Ajoy Kumar Chakraborty; Tulika Bhattacharjee

2012-07-01T23:59:59.000Z

350

Unit-Contingent Power Purchase Agreement and Asymmetric Information About Plant Outage  

Science Conference Proceedings (OSTI)

This paper analyzes a unit-contingent power purchase agreement between an electricity distributor and a power plant. Under such a contract the distributor pays the plant a fixed price if the plant is operational and nothing if plant outage occurs. Pricing ... Keywords: electricity industry, risk allocation, spot market, unit-contingent contract

Owen Q. Wu; Volodymyr Babich

2012-04-01T23:59:59.000Z

351

Questions & Answers Solicitation to Address High Purchase Costs and Disposal Impacts of PEV Battery Packs  

E-Print Network (OSTI)

Questions & Answers Solicitation to Address High Purchase Costs and Disposal Impacts of PEV Battery Packs PON12501 1. Relating to both Research Topic Areas, at what stage of the research does the Energ Commission envision a battery manufacturer needing to be involved? y The Energy

352

Clemson University Standard Terms of Purchase Revision B Effective April 1, 2011  

E-Print Network (OSTI)

Clemson University Standard Terms of Purchase ­ Revision B Effective April 1, 2011 This document contains standard terms and conditions that apply to all solicitations and procurements made by Clemson University. Any Supplier terms and conditions included with Supplier's invoice or any other document provided

Stuart, Steven J.

353

This book will inspire you with practical tips on how to purchase and prepare  

E-Print Network (OSTI)

This book will inspire you with practical tips on how to purchase and prepare delicious food, fats, carbohydrates, fiber, sodium, potassium, and calcium All proceeds from the sale of this book go.00* each .________ ____ copies of "Food For Thought" @ $18.00* each .________ (for orders of 5 to 10 books

Abagyan, Ruben

354

Role of Interestingness Measures in CAR Rule Ordering for Associative Classifier: An Empirical Approach  

E-Print Network (OSTI)

Associative Classifier is a novel technique which is the integration of Association Rule Mining and Classification. The difficult task in building Associative Classifier model is the selection of relevant rules from a large number of class association rules (CARs). A very popular method of ordering rules for selection is based on confidence, support and antecedent size (CSA). Other methods are based on hybrid orderings in which CSA method is combined with other measures. In the present work, we study the effect of using different interestingness measures of Association rules in CAR rule ordering and selection for associative classifier.

Kannan, S

2010-01-01T23:59:59.000Z

355

Second highest-ranking U.S. military officer gets classified briefings  

NLE Websites -- All DOE Office Websites (Extended Search)

U.S. military officer gets classified briefings U.S. military officer gets classified briefings Second highest-ranking U.S. military officer gets classified briefings Winnefield was at Los Alamos to receive a wide variety of classified briefings that covered the broad spectrum of national security science at the Lab. November 17, 2011 Los Alamos National Laboratory sits on top of a once-remote mesa in northern New Mexico with the Jemez mountains as a backdrop to research and innovation covering multi-disciplines from bioscience, sustainable energy sources, to plasma physics and new materials. Los Alamos National Laboratory sits on top of a once-remote mesa in northern New Mexico with the Jemez mountains as a backdrop to research and innovation covering multi-disciplines from bioscience, sustainable energy

356

Anytime induction of low-cost, low-error classifiers: a sampling-based approach  

Science Conference Proceedings (OSTI)

Machine learning techniques are gaining prevalence in the production of a wide range of classifiers for complex real-world applications with nonuniform testing and misclassification costs. The increasing complexity of these applications poses a real ...

Saher Esmeir; Shaul Markovitch

2008-09-01T23:59:59.000Z

357

Robust chinese character recognition by selection of binary-based and grayscale-based classifier  

Science Conference Proceedings (OSTI)

As the spread of digital videos, digital cameras, and camera phones, lots of researches are reported about degraded character recognition. It is found that while the grayscale-based classifier is powerful for degraded character, the performance for clear ...

Yoshinobu Hotta; Jun Sun; Yutaka Katsuyama; Satoshi Naoi

2006-02-01T23:59:59.000Z

358

Radially Classified Aerosol Detector for Aircraft-Based Submicron Aerosol Measurements  

Science Conference Proceedings (OSTI)

A radially classified aerosol detector (RCAD) for fast characterization of fine particle size distributions aboard aircraft has been designed and implemented. The measurement system includes a radial differential mobility analyzer and a high-flow,...

Lynn M. Russell; Shou-Hua Zhang; Richard C. Flagan; John H. Seinfeld; Mark R. Stolzenburg; Robert Caldow

1996-06-01T23:59:59.000Z

359

Application of a Bayesian Classifier of Anomalous Propagation to Single-Polarization Radar Reflectivity Data  

Science Conference Proceedings (OSTI)

A naïve Bayes classifier (NBC) was developed to distinguish precipitation echoes from anomalous propagation (anaprop). The NBC is an application of Bayes's theorem, which makes its classification decision based on the class with the maximum a ...

Justin R. Peter; Alan Seed; Peter J. Steinle

2013-09-01T23:59:59.000Z

360

A Logical Representation of Common Rules for Controlling Access to Classified Information  

E-Print Network (OSTI)

Modification M840 SF-30 Continuation Page Page4 of4 Special Access Program Policies, Responsibilities INDEPENDENT OVERSIGHT AND PERFORMANCE ASSURANCE PROGRAM GRADED SECURITY PROTECTION (GPS) POLICY MATERIAL CONTROL AND ACCOUNTABILITY COUNTERINTELLIGENCE PROGRAM IDENTIFYING CLASSIFIED INFORMATION

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


361

CLASSIFY-Profiles: Volume 2: Commercial and Industrial Customer Needs and Energy Decision Making  

Science Conference Proceedings (OSTI)

EPRI's CLASSIFY System provides utilities with the information, methods, and tools required to develop customer-driven products and services. Such customer-responsive offerings are crucial to achieving competitive success and high levels of customer satisfaction and loyalty. The Commercial and Industrial CLASSIFY-Profiles identify nine target markets, defined by 22 key customer needs related to business strategies, business operations, and energy operations. This report is available only to funders of Pr...

1995-06-22T23:59:59.000Z

362

Green Purchasing  

NLE Websites -- All DOE Office Websites (Extended Search)

Environment Feature Stories Public Reading Room: Environmental Documents, Reports LANL Home Phonebook Calendar Video Community, Environment Environmental Stewardship ...

363

Facility Name Facility Name Facility FacilityType Owner Developer EnergyPurchaser  

Open Energy Info (EERE)

Name Facility Name Facility FacilityType Owner Developer EnergyPurchaser Name Facility Name Facility FacilityType Owner Developer EnergyPurchaser Place GeneratingCapacity NumberOfUnits CommercialOnlineDate WindTurbineManufacturer FacilityStatus Coordinates D Metals D Metals D Metals Definition Small Scale Wind Valley City OH MW Northern Power Systems In Service AB Tehachapi Wind Farm AB Tehachapi Wind Farm AB Tehachapi Definition Commercial Scale Wind Coram Energy AB Energy Southern California Edison Co Tehachapi CA MW Vestas In Service AFCEE MMR Turbines AFCEE MMR Turbines AFCEE MMR Turbines Definition Commercial Scale Wind AFCEE Air Force Center for Engineering and the Environment Distributed generation net metered Camp Edwards Sandwich MA MW GE Energy In Service AG Land AG Land AG Land Definition Community Wind AG Land Energy LLC

364

Quick Guide: Power Purchase Agreements (Fact Sheet), Federal Energy Management Program (FEMP)  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

PPA funded the photovoltaic system installed on the Research Support Facility at the PPA funded the photovoltaic system installed on the Research Support Facility at the National Renewable Energy Laboratory. Photo by Dennis Schroeder, NREL/PIX 18824 Quick Guide: Power Purchase Agreements The U.S. Department of Energy (DOE) Federal Energy Management Program (FEMP) provides support and technical assistance to Federal agencies interested in power purchase agreements (PPAs) for on-site renewable energy projects. The Energy Policy Act (EPAct) of 2005 requires no less than five percent of total agency electricity consumption to come from renewable energy in fiscal years (FY) 2010 through 2012, and no less than 7.5 percent thereafter. Renewable electricity generated on Federal agency

365

Response Summary: Department of Energy Power Purchase Agreement Request for Information  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Agreement Agreement Request for Information Response Summary 1 This document reflects summarized information obtained by the U. S. Department of Energy in response to a Request for Information (RFI) published March 2, 2011 entitled "Federal Government Power Purchase Agreements (PPA) Issues." Note that this is only a summary - it does not include comments based on response analysis and does not represent the opinion of the U.S. Department of Energy. Contract Term Limitations * Power Purchase Agreement (PPA) contract terms of 20-30 years are best (with a term less than 75% to 80% of system economic life due to Generally Accepted Accounting Principles (GAAP) and Internal Revenue Service (IRS) rules). Most respondents included a cost increase estimate for a 10 year versus 20 year contract. These estimates

366

Using Renewable Energy Purchases to Achieve Institutional Carbon Goals: A Review of Current Practices and Considerations  

NLE Websites -- All DOE Office Websites (Extended Search)

Renewable Energy Renewable Energy Purchases to Achieve Institutional Carbon Goals: A Review of Current Practices and Considerations Lori Bird and Jenny Sumner Technical Report NREL/TP-6A20-49938 January 2011 NREL is a national laboratory of the U.S. Department of Energy, Office of Energy Efficiency & Renewable Energy, operated by the Alliance for Sustainable Energy, LLC. National Renewable Energy Laboratory 1617 Cole Boulevard Golden, Colorado 80401 303-275-3000 * www.nrel.gov Contract No. DE-AC36-08GO28308 Using Renewable Energy Purchases to Achieve Institutional Carbon Goals: A Review of Current Practices and Considerations Lori Bird and Jenny Sumner Prepared under Task No. SA09.3102 Technical Report

367

Using Renewable Energy Purchases to Achieve Institutional Carbon Goals: A Review of Current Practices and Considerations  

SciTech Connect

With organizations and individuals increasingly interested in accounting for their carbon emissions, greater attention is being placed on how to account for the benefits of various carbon mitigation actions available to consumers and businesses. Generally, organizations can address their own carbon emissions through energy efficiency, fuel switching, on-site renewable energy systems, renewable energy purchased from utilities or in the form of renewable energy certificates (RECs), and carbon offsets. This paper explores the role of green power and carbon offsets in carbon footprinting and the distinctions between the two products. It reviews how leading greenhouse gas (GHG) reporting programs treat green power purchases and discusses key issues regarding how to account for the carbon benefits of renewable energy. It also discusses potential double counting if renewable energy generation is used in multiple markets.

Bird, L.; Sumner, J.

2011-01-01T23:59:59.000Z

368

Annual report: Purchasing and Materials Management Organization, Sandia National Laboratories, fiscal year 1992  

SciTech Connect

This report summarizes the purchasing and transportation activities of the Purchasing and Materials Management Organization for Fiscal Year 1992. Activities for both the New Mexico and California locations are included. Topics covered in this report include highlights for fiscal year 1992, personnel, procurements (small business procurements, disadvantaged business procurements, woman-owned business procurements, New Mexico commercial business procurements, Bay area commercial business procurements), commitments by states and foreign countries, and transportation activities. Also listed are the twenty-five commercial contractors receiving the largest dollar commitments, commercial contractors receiving commitments of $1,000 or more, integrated contractor and federal agency commitments of $1,000 or more from Sandia National Laboratories/New Mexico and California, and transportation commitments of $1,000 or more from Sandia National Laboratories/New Mexico and California.

Zaeh, R.A.

1993-04-01T23:59:59.000Z

369

Danny Lloyd Supply Purchasing Manager & Jlab Small Business Program Manager  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Danny Lloyd Danny Lloyd Supply Purchasing Manager & Jlab Small Business Program Manager JSA Mentor-Protégé Program Thomas Jefferson National Accelerator Facility Newport, News, Virginia Danny Lloyd Supply Purchasing Manager JLab Small Business Program Manager JSA Mentor-Protégé Program * Jefferson Lab is managed and operated by Jefferson Science Associates, LLC, a joint venture between Southeastern Universities Research Association, Inc., and Computer Sciences Corporation Applied Technologies, LLC, under a contract with the U.S. Department of Energy * 1987 Construction began on the Continuous Electron Beam Accelerator Facility (CEBAF) - 1995 Physics experiments started at CEBAF * Jefferson Lab is constructing a 12 GeV Upgrade, a $310 million project

370

Quick Guide: Power Purchase Agreements (Fact Sheet), Federal Energy Management Program (FEMP)  

NLE Websites -- All DOE Office Websites (Extended Search)

PPA funded the photovoltaic system installed on the Research Support Facility at the PPA funded the photovoltaic system installed on the Research Support Facility at the National Renewable Energy Laboratory. Photo by Dennis Schroeder, NREL/PIX 18824 Quick Guide: Power Purchase Agreements The U.S. Department of Energy (DOE) Federal Energy Management Program (FEMP) provides support and technical assistance to Federal agencies interested in power purchase agreements (PPAs) for on-site renewable energy projects. The Energy Policy Act (EPAct) of 2005 requires no less than five percent of total agency electricity consumption to come from renewable energy in fiscal years (FY) 2010 through 2012, and no less than 7.5 percent thereafter. Renewable electricity generated on Federal agency

371

ENVIRONMENT, SAFETY, HEALTH, AND QUALITY DIVISION Chapter 40: Chemical Lifecyle Management Purchasing Procedures  

E-Print Network (OSTI)

The purpose of these procedures is to ensure that all purchases of chemicals and other hazardous materials are placed and tracked centrally and that new chemicals are screened against established criteria to support their safe management and use. They cover adding chemicals to the chemical management services (CMS) catalog, ordering chemicals, and delivery and receipt. They apply to workers (chemical users and requesters), their supervisors and line management, CMS representatives, chemical reviewers, and ESH coordinators.

unknown authors

2013-01-01T23:59:59.000Z

372

" Row: NAICS Codes;" " Column: Supplier Sources of Purchased Electricity, Natural Gas, and Steam;"  

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

8 Number of Establishments by Quantity of Purchased Electricity, Natural Gas, and Steam, 2002;" 8 Number of Establishments by Quantity of Purchased Electricity, Natural Gas, and Steam, 2002;" " Level: National Data; " " Row: NAICS Codes;" " Column: Supplier Sources of Purchased Electricity, Natural Gas, and Steam;" " Unit: Establishment Counts." ,,,"Electricity","Components",,,"Natural","Gas","Components",,"Steam","Components" ,,,,"Electricity","Electricity",,,"Natural Gas","Natural Gas",,,"Steam","Steam" " "," ",,,"from Only","from Both",,,"from Only","from Both",,,"from Only","from Both"," ",," "

373

DOE N 472.3, Implementation of Presidential Policy Directive 19, Protecting Whistleblowers with Access to Classified Information  

Directives, Delegations, and Requirements

This Notice implements Presidential Policy Directive 19, Protecting Whistleblowers with Access to Classified Information, which was issued by President Obama ...

2013-07-10T23:59:59.000Z

374

Chapter_4_Foreign_Ownership_Control_or_Influence_Facility_Clearance_and_Classified_Contract_Registration  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Foreign Ownership, Control, or Influence; Foreign Ownership, Control, or Influence; Facility Clearance; and Classified Contract Registration This chapter summarizes the process that contractors undergo to be authorized to perform classified work for DOE HQ. The process involves three-steps: obtaining a Foreign Ownership, Control, or Influence (FOCI) determination, obtaining a Facility Clearance; and registering classified contracts within DOE's Safeguards and Security Information Management System (SSIMS). At HQ, all these actions are performed within the Office of Information Security (HS- 92), within the Office of Health, Safety and Security. HS-92 has developed a website (see the Helpful Websites subsection, below) containing instructional handbooks for completing the forms identified in this chapter. These handbooks

375

Building Ultra-Low False Alarm Rate Support Vector Classifier Ensembles Using Random Subspaces  

Science Conference Proceedings (OSTI)

This paper presents the Cost-Sensitive Random Subspace Support Vector Classifier (CS-RS-SVC), a new learning algorithm that combines random subspace sampling and bagging with Cost-Sensitive Support Vector Classifiers to more effectively address detection applications burdened by unequal misclassification requirements. When compared to its conventional, non-cost-sensitive counterpart on a two-class signal detection application, random subspace sampling is shown to very effectively leverage the additional flexibility offered by the Cost-Sensitive Support Vector Classifier, yielding a more than four-fold increase in the detection rate at a false alarm rate (FAR) of zero. Moreover, the CS-RS-SVC is shown to be fairly robust to constraints on the feature subspace dimensionality, enabling reductions in computation time of up to 82% with minimal performance degradation.

Chen, B Y; Lemmond, T D; Hanley, W G

2008-10-06T23:59:59.000Z

376

Inspection Report on "Internal Controls over Accountable Classified Removable Electronic Media at Oak Ridge National Laboratory"  

SciTech Connect

The Department of Energy's Oak Ridge National Laboratory (ORNL) conducts cutting edge scientific research. ORNL utilizes removable electronic media, such as computer hard drives, compact disks, data tapes, etc., to store vast amounts of classified information. Incidents involving breakdowns in controls over classified removable electronic media have been a continuous challenge for the Department. The loss of even one piece of such media can have serious national security implications. In 2004, the Department had a complex-wide 'stand-down' of all activities using classified removable electronic media, and such media containing Secret/Restricted Data or higher classified data was designated 'Accountable Classified Removable Electronic Media' (ACREM). As part of the stand-down, sites were required to conduct a 100 percent physical inventory of all ACREM; enter it all into accountability; and conduct security procedure reviews and training. Further, the Department implemented a series of controls, including conducting periodic inventories, utilizing tamper proof devices on ACREM safes, and appointing trained custodians to be responsible for the material. After performance testing and validation that the required accountability systems were in place, ACREM operations at ORNL were approved for restart on August 10, 2004. We conducted a review at ORNL and associated facilities to determine whether ACREM is managed, protected, and controlled consistent with applicable requirements. We found that: (1) Eight pieces of Secret/Restricted Data media had not been identified as ACREM and placed into a system of accountability. Consequently, the items were not subject to all required protections and controls, such as periodic accountability inventories, oversight by a trained custodian, or storage in a designated ACREM safe. (However, the items were secured in safes approved for classified material.) (2) Other required ACREM protections and controls were not implemented as follows: a tamper indicating device was not being used on an ACREM safe; records documenting when a certain safe was opened did not support that a purported inventory had been conducted; and a safe inventory had not been completed in a timely manner. (3) A Personal Digital Assistant and a thumb drive, both capable of recording or transmitting data, were stored in a security area without an analysis to identify vulnerabilities and compensatory measures having been conducted, as required. We also found that an ORNL Cooperative Research and Development Agreement partner had not disabled classified computer ports at the partner's site that were capable of writing classified information to external or removable media, as required. We made several recommendations designed to enhance the security of ACREM, security areas, and computers.

None

2009-05-01T23:59:59.000Z

377

,"Domestic Crude Oil First Purchase Prices by Area"  

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

Area" Area" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Domestic Crude Oil First Purchase Prices by Area",35,"Monthly","9/2013","1/15/1974" ,"Release Date:","12/2/2013" ,"Next Release Date:","1/2/2014" ,"Excel File Name:","pet_pri_dfp1_k_m.xls" ,"Available from Web Page:","http://www.eia.gov/dnav/pet/pet_pri_dfp1_k_m.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.gov" ,,"(202) 586-8800",,,"12/2/2013 3:15:37 AM"

378

Table 7.2 Average Prices of Purchased Energy Sources, 2010;  

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

Table 7.2 Average Prices of Purchased Energy Sources, 2010; Level: National and Regional Data; Row: NAICS Codes; Column: All Energy Sources Collected; Unit: U.S. Dollars per Million Btu. Selected Wood and Other Biomass Components Coal Components Coke Electricity Components Natural Gas Components Steam Components Total Wood Residues Bituminous Electricity Diesel Fuel Motor Natural Gas Steam and Wood-Related and Electricity from Sources and Gasoline Pulping Liquor Natural Gas from Sources Steam from Sources Waste Gases Waste Oils Industrial Wood Byproducts and NAICS Coal Subbituminous Coal Petroleum Electricity from Local Other than Distillate Diesel Distillate Residual Blast Coke Oven (excluding or LPG and Natural Gas from Local

379

Data sources directory for purchasing officials: Energy-efficient and environmentally preferred products  

Science Conference Proceedings (OSTI)

This Directory, produced by the New York State Energy Research and Development Authority, is an introduction to organizations that provide information about energy-efficient and environmentally preferred equipment and products. It is intended to be a reference tool for purchasing officials in the public and private sectors. The New York State Energy Research and Development Authority does not endorse any particular vendor, organization, or technology. This list was prepared to provide information. The companies listed may provide additional products and/or services not mentioned in this directory.

NONE

1995-09-01T23:59:59.000Z

380

,"Domestic Crude Oil First Purchase Prices by API Gravity"  

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

API Gravity" API Gravity" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Domestic Crude Oil First Purchase Prices by API Gravity",6,"Monthly","9/2013","10/15/1993" ,"Release Date:","12/2/2013" ,"Next Release Date:","1/2/2014" ,"Excel File Name:","pet_pri_dfp3_k_m.xls" ,"Available from Web Page:","http://www.eia.gov/dnav/pet/pet_pri_dfp3_k_m.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.gov" ,,"(202) 586-8800",,,"12/2/2013 3:15:39 AM"

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


381

Detecting reliable gene interactions by a hierarchy of Bayesian network classifiers  

Science Conference Proceedings (OSTI)

The main purpose of a gene interaction network is to map the relationships of the genes that are out of sight when a genomic study is tackled. DNA microarrays allow the measure of gene expression of thousands of genes at the same time. These data constitute ... Keywords: Bayesian network classifiers, DNA microarrays, Gene interactions, Knowledge discovery, Robust arc identification

Rubén Armañanzas; Iñaki Inza; Pedro Larrañaga

2008-08-01T23:59:59.000Z

382

Automated system for detection of epileptiform patterns in EEG by using a modified RBFN classifier  

Science Conference Proceedings (OSTI)

In this paper, we present a two-stage system based on a modified radial basis function network (RBFN) classifier for an automated detection of epileptiform pattern (EP) in an electroencephalographic signal. In the first stage, a discrete perceptron fed ... Keywords: Automatic spike detection, EEG, Neural networks, Pattern recognition, Radial basis function networks

Nurettin Ac?r

2005-08-01T23:59:59.000Z

383

Extracting and using building blocks of knowledge in learning classifier systems  

Science Conference Proceedings (OSTI)

Human beings have the ability to apply the domain knowledge learned from a smaller problem to more complex problems of the same or a related domain, but currently evolutionary computation techniques lack this ability. Hence these techniques relearn from ... Keywords: building blocks, code fragments, learning classifier systems, pattern recognition, scalability, xcs

Muhammad Iqbal; Will N. Browne; Mengjie Zhang

2012-07-01T23:59:59.000Z

384

Reliable diagnoses of dementia by the naive credal classifier inferred from incomplete cognitive data  

Science Conference Proceedings (OSTI)

Dementia is a serious personal, medical and social problem. Recent research indicates early and accurate diagnoses as the key to effectively cope with it. No definitive cure is available but in some cases when the impairment is still mild the disease ... Keywords: Cognitive tests, Credal classification, Data mining, Dementia, Imprecise probabilities, Missing data, Naive credal classifier

Marco Zaffalon; Keith Wesnes; Orlando Petrini

2003-09-01T23:59:59.000Z

385

Combining multiple classifiers to quantitatively rank the impact of abnormalities in flight data  

Science Conference Proceedings (OSTI)

This paper presents a novel two phase method that combines one class support vector machine classifiers using combination rules to quantitatively assess the degree of abnormality at various heights during individual aircraft descents and also over the ... Keywords: Aircraft landing guidance, Artificial intelligence, Fault diagnosis, Support vector machines

E. Smart; D. Brown; J. Denman

2012-08-01T23:59:59.000Z

386

Spectral features detection of speech emotion and speaking styles recognition based on HMM classifier  

Science Conference Proceedings (OSTI)

This paper deals with the influence of the spectral features in recognizing emotions and speaking styles from speech signals. Through out this study MFCC and Mel band energies are used as the base features. The investigation shows that each feature mentioned ... Keywords: HMM-based classifier, MFCC, SUSAS database, emotion, mel band energies, speaking style

Monia Kammoun; Noureddine Ellouze

2006-05-01T23:59:59.000Z

387

A review on the combination of binary classifiers in multiclass problems  

Science Conference Proceedings (OSTI)

Several real problems involve the classification of data into categories or classes. Given a data set containing data whose classes are known, Machine Learning algorithms can be employed for the induction of a classifier able to predict the class of ... Keywords: Machine learning, Multiclass classification, Supervised learning

Ana Carolina Lorena; André C. Carvalho; João M. Gama

2008-12-01T23:59:59.000Z

388

On adaptively learning HMM-based classifiers using split-merge operations  

Science Conference Proceedings (OSTI)

In designing classifiers for automatic speech recognitions, one of the problems the user faces is to cope with an unwanted variability in the environment such as changes in the speaker or the acoustics. To overcome this problem, various adaptation schemes ... Keywords: Baum-Welch (BW) algorithm, automatic speech recognitions (ASR), hidden Markov models (HMM), splitting - merging techniques

Sang-Woon Kim; Soo-Hwan Oh

2006-06-01T23:59:59.000Z

389

Statistical inference of minimum BD estimators and classifiers for varying-dimensional models  

Science Conference Proceedings (OSTI)

Stochastic modeling for large-scale datasets usually involves a varying-dimensional model space. This paper investigates the asymptotic properties, when the number of parameters grows with the available sample size, of the minimum-BD estimators and classifiers ... Keywords: A diverging number of parameters, Exponential family, Hemodynamic response function, Loss function, Optimal Bayes rule, primary, secondary

Chunming Zhang

2010-08-01T23:59:59.000Z

390

Massively Multi-core Acceleration of a Document-Similarity Classifier to Detect Web Attacks  

Science Conference Proceedings (OSTI)

This paper describes our approach to adapting a text document similarity classifier based on the Term Frequency Inverse Document Frequency (TFIDF) metric to two massively multi-core hardware platforms. The TFIDF classifier is used to detect web attacks in HTTP data. In our parallel hardware approaches, we design streaming, real time classifiers by simplifying the sequential algorithm and manipulating the classifier's model to allow decision information to be represented compactly. Parallel implementations on the Tilera 64-core System on Chip and the Xilinx Virtex 5-LX FPGA are presented. For the Tilera, we employ a reduced state machine to recognize dictionary terms without requiring explicit tokenization, and achieve throughput of 37MB/s at slightly reduced accuracy. For the FPGA, we have developed a set of software tools to help automate the process of converting training data to synthesizable hardware and to provide a means of trading off between accuracy and resource utilization. The Xilinx Virtex 5-LX implementation requires 0.2% of the memory used by the original algorithm. At 166MB/s (80X the software) the hardware implementation is able to achieve Gigabit network throughput at the same accuracy as the original algorithm.

Ulmer, C; Gokhale, M; Top, P; Gallagher, B; Eliassi-Rad, T

2010-01-14T23:59:59.000Z

391

A classifier based on the artificial neural network approach for cardiologic auscultation in pediatrics  

Science Conference Proceedings (OSTI)

Objective:: This research work was aimed at developing a reliable screening device for diagnosis of heart murmurs in pediatrics. This is a significant problem in pediatric cardiology because of the high rate of incidence of heart murmurs in this population ... Keywords: Artificial neural network classifier, Pediatric cardiac auscultation, Phonocardiography

Sanjay R. Bhatikar; Curt DeGroff; Roop L. Mahajan

2005-03-01T23:59:59.000Z

392

Methods, systems and devices for detecting threatening objects and for classifying magnetic data  

Science Conference Proceedings (OSTI)

A method for detecting threatening objects in a security screening system. The method includes a step of classifying unique features of magnetic data as representing a threatening object. Another step includes acquiring magnetic data. Another step includes determining if the acquired magnetic data comprises a unique feature.

Kotter, Dale K. (Shelley, ID); Roybal, Lyle G. (Idaho Falls, ID); Rohrbaugh, David T. (Idaho Falls, ID); Spencer, David F. (Idaho Falls, ID)

2012-01-24T23:59:59.000Z

393

An A-team approach to learning classifiers from distributed data sources  

Science Conference Proceedings (OSTI)

Distributed data mining is an important research area. The task of the distributed data mining is to analyze data from different sources. Solving such tasks requires a special approach and tools, different from those dedicated to learning from data located ... Keywords: distributed data mining, learning classifiers, multi-agent system

Ireneusz Czarnowski; Piotr Jçdrzejowicz; Izabela Wierzbowska

2008-03-01T23:59:59.000Z

394

Table 7.4 Average Prices of Selected Purchased Energy Sources, 2010;  

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

4 Average Prices of Selected Purchased Energy Sources, 2010; 4 Average Prices of Selected Purchased Energy Sources, 2010; Level: National and Regional Data; Row: Values of Shipments and Employment Sizes; Column: Energy Sources; Unit: U.S. Dollars per Physical Units. Residual Distillate LPG and Economic Electricity Fuel Oil Fuel Oil(b) Natural Gas(c) NGL(d) Coal Characteristic(a) (kWh) (gallons) (gallons) (1000 cu ft) (gallons) (short tons) Total United States Value of Shipments and Receipts (million dollars) Under 20 0.093 1.55 2.58 6.64 1.80 78.29 20-49 0.075 1.66 2.45 6.44 1.80 80.13 50-99 0.070 1.64 1.79 6.04 2.19 68.10 100-249 0.061 1.62 2.38 5.51 1.69 100.69 250-499 0.056 1.69 2.41 5.54 1.59 92.51 500 and Over 0.054 1.54 2.35 5.08 1.15 96.25 Total

395

Table 7.1 Average Prices of Purchased Energy Sources, 2010  

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

Average Prices of Purchased Energy Sources, 2010; Average Prices of Purchased Energy Sources, 2010; Level: National and Regional Data; Row: NAICS Codes; Column: All Energy Sources Collected; Unit: U.S. Dollars per Physical Units. Coal NAICS TOTAL Acetylene Breeze Total Anthracite Code(a) Subsector and Industry (million Btu) (cu ft) (short tons) (short tons) (short tons) Total United States 311 Food 9.12 0.26 0.00 53.43 90.85 3112 Grain and Oilseed Milling 6.30 0.29 0.00 51.34 50.47 311221 Wet Corn Milling 4.87 0.48 0.00 47.74 50.47 31131 Sugar Manufacturing 5.02 0.31 0.00 53.34 236.66 3114 Fruit and Vegetable Preserving and Specialty Foods 9.78 0.27 0.00 90.59 0.00 3115 Dairy Products 11.21 0.10 0.00 103.12 0.00 3116 Animal Slaughtering and Processing

396

Financial impacts of nonutility power purchases on investor-owned electric utilities  

SciTech Connect

To assist in its these responsibilities in the area of electric power, EIA has prepared this report, Financial Impacts of Nonutility Power Purchases on Investor-Owned Electric Utilities. The primary purpose of this report is to provide an overview of the issues surrounding the financial impacts of nonutility generation contracts (since the passage of the Public Utility Regulatory Policies Act of 1978) on investor-owned utilities. The existing concern in this area is manifest in the provisions of Section 712 of the Energy Policy Act of 1992, which required State regulatory commissions to evaluate various aspects of long-term power purchase contracts, including their impact on investor-owned utilities` cost of capital and rates charged to customers. The EIA does not take positions on policy questions. The EIA`s responsibility is to provide timely, high quality information and to perform objective, credible analyses in support of the deliberations by both public and private decision-makers. Accordingly, this report does not purport to represent the policy positions of the US Department of Energy or the Administration.

Not Available

1994-06-01T23:59:59.000Z

397

GAO-04-986R Lawrence Livermore National Laboratory: Further Improvements Needed to Strengthen Controls Over the Purchase Card Program  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

6R LLNL Purchase Card Controls 6R LLNL Purchase Card Controls United States Government Accountability Office Washington, DC 20548 August 6, 2004 Congressional Requesters Subject: Lawrence Livermore National Laboratory: Further Improvements Needed to Strengthen Controls Over the Purchase Card Program The Lawrence Livermore National Laboratory (LLNL) located in Livermore, California is a government-owned, contractor-operated national laboratory of the Department of Energy's (DOE) National Nuclear Security Administration (NNSA). 1 The University of California manages the lab under a cost-reimbursable contract with NNSA. The university is paid a management fee to operate the lab and is reimbursed for all allowable costs charged to the contract. During the fall of 2002, the Federal Bureau of Investigation began investigating two

398

GAO-04-988R Pacific Northwest National Laboratory: Enhancements Needed to Strengthen Controls Over the Purchase Card Program  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

8R PNNL Purchase Card Controls 8R PNNL Purchase Card Controls United States Government Accountability Office Washington, DC 20548 August 6, 2004 Congressional Requesters Subject: Pacific Northwest National Laboratory: Enhancements Needed to Strengthen Controls Over the Purchase Card Program The Pacific Northwest National Laboratory (PNNL) located in Richland, Washington, is a government-owned, contractor-operated Department of Energy (DOE) national laboratory. The Battelle Memorial Institute manages the lab under a cost- reimbursable contract with DOE. Battelle is paid a management fee to operate the lab and is reimbursed for all allowable costs charged to the contract. During the fall of 2002, the Federal Bureau of Investigation began investigating two Los Alamos National Laboratory employees for alleged misuse of lab credit cards.

399

Numerical investigation of the grinding process in a Beater Wheel mill with classifier  

SciTech Connect

A numerical investigation is presented for a two-dimensional simulation of the gas flow field and of the dynamic behavior of lignite particles inside Beater Wheel mills with classifier, installed in large coal-fired plants. A large number of representative particles are tracked using Lagrangian equations of motion, in combination with a stochastic model for particle turbulent dispersion. All the important mechanisms associated with the particle motion through the mill (particle-surface collisions and rebounding phenomena, fuel moisture evaporation and erosion wear of internal surfaces) are modeled. A special model is constructed to simulate the fragmentation of impacting particles and to calculate the size distribution of the final mill product. The models are regulated on the basis of available data from grinding mills of the Greek lignite power stations. The numerical code is capable of predicting the locations of significant erosion and to estimate the amount of particle mass that circulates through the mill via the classifying chamber. Mean impact velocity and impingement angle distributions along all the internal surfaces are also provided. The results indicate remarkable differences in the extent of the erosion caused at different locations of the mill. Also, the significant role of the leading blades arrangement inside the classifier on its classification performance and efficiency is elucidated.

Anagnostopoulos, J.; Bergeles, G. [National Technical Univ. of Athens (Greece)

1997-07-01T23:59:59.000Z

400

Microsoft Word - Energy OIG Statement on Purchase Cards _May 1 2002_.doc  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

GREGORY H. FRIEDMAN GREGORY H. FRIEDMAN INSPECTOR GENERAL U.S. DEPARTMENT OF ENERGY BEFORE THE U.S. HOUSE OF REPRESENTATIVES COMMITTEE ON ENERGY AND COMMERCE SUBCOMMITTEE ON OVERSIGHT AND INVESTIGATIONS FOR RELEASE ON DELIVERY 10:00 a.m., Wednesday, May 1, 2002 1 I. EXECUTIVE SUMMARY Good morning, Mr. Chairman and members of the Subcommittee. I am Gregory H. Friedman, Inspector General, U.S. Department of Energy. I am pleased to be here today to testify on our February 2002 report entitled, "U.S. Department of Energy's Purchase Card Programs-Lessons Learned." Since 1998, the Office of Inspector General has conducted over 20 audits, inspections, and criminal investigations involving 12 different offices and sites in which Federal,

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


401

Federal Tax Credits for Plug-in Hybrids Purchased in or after 2010  

NLE Websites -- All DOE Office Websites (Extended Search)

Federal Tax Credits for Plug-in Hybrids Federal Tax Credits for Plug-in Hybrids Photo of cash and keys Federal Tax Credit Up To $7,500! Plug-in hybrid-electric vehicles (PHEVs) purchased in or after 2010 may be eligible for a federal income tax credit of up to $7,500. The credit amount will vary based on the capacity of the battery used to fuel the vehicle. Small neighborhood electric vehicles do not qualify for this credit, but they may qualify for another credit. Vehicle Make & Model Full Credit Phase Out No Credit 50% 25% BMW Jan. 1, 2010, to Present TBD TBD TBD 2014 BMW i3 Sedan w/ Range Extender 2014 i3 Sedan w/ Range Extender $7,500 -- -- -- Fisker Jan. 1, 2010, to Present TBD TBD TBD Fisker Karma 2012 Fisker Karma Sedan $7,500 -- -- -- Ford Motor Co. Jan. 1, 2010, to Present TBD TBD TBD

402

Round Table Meeting Summaries Purchase Order: DE-IE0000002 Final Report  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Round Table Meeting Summaries Round Table Meeting Summaries Purchase Order: DE-IE0000002 Final Report 25-Apr-11 U.S. Department of Energy Office of Indian Energy Policy and Programs CNI Professional Services, LLC 2600 John Saxon Blvd Norman, OK 73026 Jonathan Blackwell Project Manager Phone: (202) 361-1998 Work Performed for: Submitted by: Point of Contact: jonathan.blackwell@chickasaw.com Key Word Comment Meeting 1 Alaska We deal with about 15 isolated, very remote villages. No infrastructure, roads or grid. There are good wind resources. Some villages have geothermal. Woody biomass is at about half of the villages. Alaska Energy helped with the studies. We need strategic energy planning at the community level. Need to get village buy in. No one can tell the villages what to do. I have some other things to say, but they are probably not appropriate now.

403

Implementation of U.S. transparency monitoring under the U.S./Russian HEU purchase agreement  

SciTech Connect

During the past three years US monitoring at Russian nuclear facilities, subject to the HEU Purchase Agreement, has evolved as MINATOM and DOE negotiators worked to improve transparency rights and as additional Russian facilities began processing HEU. The number of Russian nuclear facilities subject to US monitoring has increased from two in 1996 to the current four. In that time, physical monitoring, which only permitted visual inspections and access to process forms is being supplemented by instrumentation which detects U-235 enrichment of material in containers and instrumentation which is used to confirm that blending of HEU into LEU at the blending facilities is taking place. This paper summarizes the US HEU Transparency monitoring activities performed in Russian facilities. It then summarizes the process used to certify the Blend Down Monitoring System (BDMS) that is currently in use at one of these facilities.

Benton, J B; Glaser, J W; Mastal, E F

1999-07-21T23:59:59.000Z

404

Using MotorMaster to Track Motor Inventory and Analyze Purchasing Decisions  

E-Print Network (OSTI)

MotorMaster 4.0 can be a useful software package for electric motor management decisions in industrial facilities. To be successful, the MotorMaster database must be populated with detailed motor nameplate information. Georgia Tech worked with a large, motor intensive chemical manufacturing plant to collect motor nameplate information on motors 60 hp or larger and populate the motor database. Approximately 130 motors were identified and surveyed. The completed motor database is used to track maintenance actions and to analyze motor replacement options. The approach used to secure and enter motor nameplate data along with examples of purchasing analyses completed will be presented. The success of the MotorMaster software with large motors has convinced the firm to expand its use to smaller horsepower motors.

Brown, M.; Meffort, W.

2007-01-01T23:59:59.000Z

405

Need for tighter controls over fuel purchased by the Postal Service  

SciTech Connect

The US Postal Service uses nearly 90 million gallons of gasoline and diesel fuel each year. In fiscal year 1980, the cost of this fuel was expected to be $100 million, and the cost will increase as fuel prices continue to rise. This GAO study finds that the Service needs to change the way it controls fuel. To reduce the susceptibility to fraud, abuse, and waste in the procurement and use of fuel, GAO recommends that the Postmaster General vigorously enforce procedures for verifying fuel deliveries, including maintaining verification records for independent audit; initiate a program to test the quality of fuel received; insure that guidelines for bulk-tank security are followed at all facilities; insure that all fuel dispensed from bulk fuel tanks is accounted for; require drivers to obtain receipts from commercial service stations or record fuel and oil purchases on documents controlled by the Postal Service; and obtain better data on the use of fuel by vehicle drivers.

Staats, E.B.

1980-07-31T23:59:59.000Z

406

Proposal for the award of a blanket purchase agreement, without competitive tendering, for the supply of Burndy connectors  

E-Print Network (OSTI)

This document concerns the award of a blanket purchase agreement, without competitive tendering, for the supply of Burndy connectors. The Finance Committee is invited to agree to the negotiation of a blanket purchase agreement, without competitive tendering, with SOURIAU (CH), for the supply of Burndy connectors over a period of three years, for a total amount not exceeding 600 000 euros (932 000 Swiss francs), subject to revision for inflation from 1st January 2006. The amount in Swiss francs has been calculated using the present rate of exchange.

2004-01-01T23:59:59.000Z

407

"Table A33. Total Quantity of Purchased Energy Sources by Census Region, Census Division,"  

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

Quantity of Purchased Energy Sources by Census Region, Census Division," Quantity of Purchased Energy Sources by Census Region, Census Division," " and Economic Characteristics of the Establishment, 1994" " (Estimates in Btu or Physical Units)" ,,,,,"Natural",,,"Coke" " ","Total","Electricity","Residual","Distillate","Gas(c)"," ","Coal","and Breeze","Other(d)","RSE" " ","(trillion","(million","Fuel Oil","Fuel Oil(b)","(billion","LPG","(1000 ","(1000","(trillion","Row" "Economic Characteristics(a)","Btu)","kWh)","(1000 bbl)","(1000 bbl)","cu ft)","(1000 bbl)","short tons)","short tons)","Btu)","Factors"

408

Proposal for the Purchase, Without a Call for Tenders, of a Medium-Temperature Hot Water Boiler for the 300 GeV Accelerator  

E-Print Network (OSTI)

Proposal for the Purchase, Without a Call for Tenders, of a Medium-Temperature Hot Water Boiler for the 300 GeV Accelerator

1976-01-01T23:59:59.000Z

409

HY RID POLYMER/NANOPARTI LE MULTI FUN TIONAL OPTI AL OATINGS  

owned subsidiary of Lockheed Martin Corporation, for the U.S. Department of Energy’s National Nuclear Security Administration. SAND # 2011-8915P TE HNOLOGY

410

IEEE TRANSACTIONS ON FUZZY SYSTEMS, VOL. 11, NO. 6, DECEMBER 2003 729 "Fuzzy" Versus "Nonfuzzy" in Combining Classifiers  

E-Print Network (OSTI)

connectives, per- ceived sometimes as trademarks of fuzzy set theory, are already in use: minimum, maximumBoost ( classifiers), and in Fig. 8(b), the bar graph for classifiers. In both experiments, fuzzy combiners were found, "Multiple network fusion using fuzzy logic," IEEE Trans. Neural Networks, vol. 6, pp. 497­501, Mar. 1995

Kuncheva, Ludmila I.

411

Transformer fault diagnosis based on reasoning integration of rough set and fuzzy set and Bayesian optimal classifier  

Science Conference Proceedings (OSTI)

In accordance with intelligent complementary strategies, a new transformer fault diagnosis method is proposed based on rough set (RS) and fuzzy set (FS) and Bayesian optimal classifier in this paper. Through RS reduction, the diagnostic decision table ... Keywords: Bayesian optimal classifier, fault diagnosis, fuzzy set, information entropy, intelligent complementary, rough set, transformer

Hongsheng Su; Haiying Dong

2009-01-01T23:59:59.000Z

412

Introducing ROC curves as error measure functions: a new approach to train ANN-based biomedical data classifiers  

Science Conference Proceedings (OSTI)

This paper explores the usage of the area (Az) under the Receiver Operating Characteristic (ROC) curve as error measure to guide the training process to build machine learning ANN-based classifiers for biomedical data analysis. Error measures (like root ... Keywords: ROC curves, artificial neural networks, biomedical data, machine learning classifiers

Raúl Ramos-Pollán; Miguel Ángel Guevara-López; Eugénio Oliveira

2010-11-01T23:59:59.000Z

413

What Motivates People to Purchase Digital Items on Virtual Community Websites? The Desire for Online Self-Presentation  

Science Conference Proceedings (OSTI)

The sale of digital items, such as avatars and decorative objects, is becoming an important source of revenue for virtual community (VC) websites. However, some websites are unable to leverage this source of revenue, and there is a corresponding lack ... Keywords: VC involvement, VC norms, desire for online self-presentation, digital item purchase, online presentation self-efficacy, virtual community

Hee-Woong Kim; Hock Chuan Chan; Atreyi Kankanhalli

2012-12-01T23:59:59.000Z

414

Two-transcript gene expression classifiers in the diagnosis and prognosis of human diseases  

E-Print Network (OSTI)

ral ssBioMed CentBMC Genomics Open AcceResearch article Two-transcript gene expression classifiers in the diagnosis and prognosis of human diseases Lucas B Edelman1,2,6, Giuseppe Toia1,2, Donald Geman4, Wei Zhang5 and Nathan D Price*1,2,3 Address... : 1Institute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, USA, 2Department of Bioengineering, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, USA, 3Department of Chemical and Biomolecular...

Edelman, Lucas B; Toia, Giuseppe; Geman, Donald; Zhang, Wei; Price, Nathan D

2009-12-05T23:59:59.000Z

415

Model State Implementation Plan (SIP) Documentation for Wind Energy Purchase in State with Renewable Energy Set-Aside: Execution through November 30, 2004  

DOE Green Energy (OSTI)

This model documentation is designed to assist State and local governments in pursuing wind energy purchases as a control measure under regional air quality plans. It is intended to support efforts to draft State Implementation Plans (SIPs), including wind energy purchases, to ensure compliance with the standard for ground-level ozone established under the Clean Air Act.

Hathaway, A.; Jacobson, D.; High, C.

2005-05-01T23:59:59.000Z

416

Affordability and other factors affecting the purchase of energy-efficient manufactured homes  

SciTech Connect

The Pacific Northwest Laboratory (PNL) and the Bonneville Power Administration (Bonneville) conducted this study to evaluate the manufactured home owner`s purchase decision process and to provide Bonneville with a better understanding of how consumers view a manufactured home`s affordability and energy efficiency. This study addresses manufactured homes built under the US Department of Housing and Urban Development (HUD) standards; these homes are sometimes referred to as HUD-code homes or mobile homes. Manufactured home owners in Idaho, Montana, Oregon, and Washington were included in this analysis. This report adds to the information presented in Sandahl et al. (1992), which discussed the practices of lenders, appraisers, and dealers -- all of whom play a key role in the manufactured home market due to the impact their practices have on the overall affordability of manufactured homes. This report focuses exclusively on the most important, and probably least understood, player -- the home buyer. The primary data were collected via a mail survey sent to 1,550 manufactured home owners in Idaho, Montana, Oregon, and Washington in late 1992. A 71% response rate was achieved; 1,106 usable responses were received. This study focuses on the Pacific Northwest but presents information that may be relevant to other parts of the country.

Hattrup, M.P.; Lee, A.D.; Sandahl, L.J. [Pacific Northwest Lab., Richland, WA (United States); Onisko, S.A. [USDOE Bonneville Power Administration, Portland, OR (United States)

1993-06-01T23:59:59.000Z

417

DOE Cites Battelle Energy Alliance, LLC for Classified Information Security Violations  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

February 25,2011 February 25,2011 CERTIFIED MAIL RETURN RECEIPT REQUESTED Mr. John 1. Grossenbacher Director, Idaho National Laboratory and President, Battelle Energy Alliance, LLC P. O. Box 1625 Idaho Falls, Idaho 83415-3695 SEA-20ll-01 Dear Mr. Grossenbacher: The Office of Health, Safety and Security's Office of Enforcement has completed its investigation into the facts and circumstances associated with an incident of security concern regarding the introduction of classified information into unapproved information systems (security event) at the U.S. Department of Energy's (DOE) Idaho National Laboratory (INL). Based on the on-site investigation and evaluation of the evidence in this matter, and in consideration of information presented by you and other Battelle Energy Alliance, LLC (BEA)

418

Sixty Percent Conceptual Design Report: Enterprise Accountability System for Classified Removable Electronic Media  

SciTech Connect

Classified removable electronic media (CREM) are tracked in several different ways at the Laboratory. To ensure greater security for CREM, we are creating a single, Laboratory-wide system to track CREM. We are researching technology that can be used to electronically tag and detect CREM, designing a database to track the movement of CREM, and planning to test the system at several locations around the Laboratory. We focus on affixing ''smart tags'' to items we want to track and installing gates at pedestrian portals to detect the entry or exit of tagged items. By means of an enterprise database, the system will track the entry and exit of tagged items into and from CREM storage vaults, vault-type rooms, access corridors, or boundaries of secure areas, as well as the identity of the person carrying an item. We are considering several options for tracking items that can give greater security, but at greater expense.

B. Gardiner; L.Graton; J.Longo; T.Marks, Jr.; B.Martinez; R. Strittmatter; C.Woods; J. Joshua

2003-05-03T23:59:59.000Z

419

EER of fixed and trainable fusion classifiers: A theoretical study with application to biometric authentication tasks  

E-Print Network (OSTI)

Biometric authentication is a process of verifying an identity claim using a person’s behavioural and physiological characteristics. Due to the vulnerability of the system to environmental noise and variation caused by the user, fusion of several biometric-enabled systems is identified as a promising solution. In the literature, various fixed rules (e.g. min, max, median, mean) and trainable classifiers (e.g. linear combination of scores or weighted sum) are used to combine the scores of several base-systems. How exactly do correlation and imbalance nature of base-system performance affect the fixed rules and trainable classifiers? We study these joint aspects using the commonly used error measurement in biometric authentication, namely Equal Error Rate (EER). Similar to several previous studies in the literature, the central assumption used here is that the class-dependent scores of a biometric system are approximately normally distributed. However, different from them, the novelty of this study is to make a direct link between the EER measure and the fusion schemes mentioned. Both synthetic and real experiments (with as many as 256 fusion experiments carried out on the XM2VTS benchmark score-level fusion data sets) verify our proposed theoretical modeling of EER of the two families of combination scheme. In particular, it is found that weighted sum can provide the best generalisation performance when its weights are estimated correctly. It also has the additional advantage that score normalisation prior to fusion is not needed, contrary to the rest of fixed fusion rules.

Norman Poh; Samy Bengio

2005-01-01T23:59:59.000Z

420

TRANSPARENCY: Tracking Uranium under the U.S. / Russian HEU Purchase Agreement  

SciTech Connect

By the end of August, 2005, the Russia Federation delivered to the United States (U.S.) more than 7,000 metric tons (MT) of low enriched uranium (LEU) containing approximately 46 million SWU and 75,000 MT of natural uranium. This uranium was blended down from weapons-grade (nominally enriched to 90% {sup 235}U) highly enriched uranium (HEU) under the 1993 HEU Purchase Agreement that provides for the blend down of 500 MT HEU into LEU for use as fuel in commercial nuclear reactors. The HEU Transparency Program, under the National Nuclear Security Administration (NNSA), monitored the conversion and blending of the more than 250 MT HEU used to produce this LEU. The HEU represents more than half of the 500 MT HEU scheduled to be blended down through the year 2013 and is equivalent to the elimination of more than 10,000 nuclear devices. The HEU Transparency Program has made considerable progress in its mission to develop and implement transparency measures necessary to assure that Russian HEU extracted from dismantled Russian nuclear weapons is blended down into LEU for delivery to the United States. U.S. monitor observations include the inventory of in process containers, observation of plant operations, nondestructive assay measurements to determine {sup 235}U enrichment, as well as the examination of Material Control and Accountability (MC&A) documents. During 2005, HEU Transparency Program personnel will conduct 24 Special Monitoring Visits (SMVs) to four Russian uranium processing plants, in addition to staffing a Transparency Monitoring Office (TMO) at one Russian site.

Benton, J B; Decman, D J; Leich, D A

2005-10-19T23:59:59.000Z

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


421

Collective economics : leveraging purchasing power of low-income communities for collective gain : Lawrence Community Works and the Network Advantage Program  

E-Print Network (OSTI)

This thesis focuses on the concept of Collective Economics and develops a set of recommendations by which groups with common interests can effectively utilize their purchasing power for collective benefits. Working with ...

Espino, Eric V

2007-01-01T23:59:59.000Z

422

Water-Cooled Ice Machines, Purchasing Specifications for Energy-Efficient Products (Fact Sheet), Federal Energy Management Program (FEMP)  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

continued > continued > FEDERAL ENERGY MANAGEMENT PROGRAM PURCHASING SPECIFICATIONS FOR ENERGY-EFFICIENT PRODUCTS The U.S. Department of Energy's (DOE) Federal Energy Management Program (FEMP) facilitates the Federal Government's implementation of sound, cost-effective energy management and investment practices to enhance the nation's energy security and environmental stewardship. Water-Cooled Ice Machines Legal Authorities Federal agencies are required by the National Energy Conservation Policy Act (P.L. 95-619), Execu- tive Order 13423, Executive Order 13514, and Federal Acquisition Regulations (FAR) Subpart 23.2 and 53.223 to specify and buy ENERGY STAR ® qualified products or, in categories not included in

423

On the Analysis of Locative Phrases with Graphs and Lexicon-Grammar: The Classifier/Proper Noun Pairing  

Science Conference Proceedings (OSTI)

This paper analyses French locative prepositional phrases containing a location proper name Npr (e.g. Méditerranée) and its associated classifier Nc (e.g. mer). The (Nc, Npr) pairs are formally described with the aid of elementary sentences. We study ...

Matthieu Constant

2002-06-01T23:59:59.000Z

424

Classifying web genres in context: A case study documenting the web genres used by a software engineer  

Science Conference Proceedings (OSTI)

This case study analyzes the Internet-based resources that a software engineer uses in his daily work. Methodologically, we studied the web browser history of the participant, classifying all the web pages he had seen over a period of 12 days into web ... Keywords: Genre theory, Human information behavior, Information behavior of professionals, Internet usage, Software engineering, Web genres

Michela Montesi; Trilce Navarrete

2008-07-01T23:59:59.000Z

425

Long-Term Variability of Daily North Atlantic–European Pressure Patterns since 1850 Classified by Simulated Annealing Clustering  

Science Conference Proceedings (OSTI)

Reconstructed daily mean sea level pressure patterns of the North Atlantic–European region are classified for the period 1850 to 2003 to explore long-term changes of the atmospheric circulation and its impact on long-term temperature variability ...

A. Philipp; P. M. Della-Marta; J. Jacobeit; D. R. Fereday; P. D. Jones; A. Moberg; H. Wanner

2007-08-01T23:59:59.000Z

426

A novel pattern recognition algorithm: Combining ART network with SVM to reconstruct a multi-class classifier  

Science Conference Proceedings (OSTI)

Based on the principle of one-against-one support vector machines (SVMs) multi-class classification algorithm, this paper proposes an extended SVMs method which couples adaptive resonance theory (ART) network to reconstruct a multi-class classifier. ... Keywords: ART network, Fault diagnosis, Multiclassification, One-against-one, SVM

Anna Wang; Wenjing Yuan; Junfang Liu; Zhiguo Yu; Hua Li

2009-06-01T23:59:59.000Z

427

Using Visible and Near Infrared Diffuse Reflectance Spectroscopy to Characterize and Classify Soil Profiles  

E-Print Network (OSTI)

Visible and near infrared diffuse reflectance spectroscopy (VisNIR-DRS) is a method being investigated for quantifying soil properties and mapping soil profiles. Because a VisNIR-DRS system mounted in a soil penetrometer is now commercially available for scanning soil profiles in situ, methodologies for using scans to map soils and quantify soil properties are needed. The overall goal of this research is to investigate methodologies for collecting and analyzing VisNIR-DRS scans of intact soil profiles to identify soil series. Methodologies tested include scanning at variable versus uniform moistures, using individual versus averaged spectra, boosting an intact spectral library with local samples, and comparing quantitative and categorical classifications of soil series. Thirty-two soil cores from two fields, representing three soil series, were extracted and scanned every 2.5 cm from the soil surface to 1.5 m or to the depth of parent material at variable field moist conditions and at uniform moist condition. Laboratory analyses for clay, sand, and silt were performed on each horizon. Soil series were classified using partial least squares regression (PLS) and linear discriminant analysis (LDA). A Central Texas intact spectral library (n=70 intact cores) was used for PLS modeling, alone and boosted with the two fields. Because whole-field independent validation was used, relative percent difference (RPD) values were used to compare model performance. Wetting soils to uniform moisture prior to scanning improved prediction accuracy of total clay and RPD improved by 53 percent. Averaging side-by-side scans of the same soil profile improved prediction accuracy of RPD by 10 percent. When creating calibration models, boosting a library with local samples improved prediction accuracy of clay content by 80 and 34 percent for the two fields. Principal component plots provided insight on the spectral similarities between these datasets. Overall, using PLS alone performed the same as LDA at predicting soil series. Most importantly, results of this project reiterate the importance of fully-independent calibration and validation for assessing the true potential of VisNIR-DRS. Using VisNIR-DRS is an effective way for in situ characterization and classification of soil properties.

Wilke, Katrina Margarette

2010-08-01T23:59:59.000Z

428

Title 10, Part 710 - Criteria and Procedures for Determining Eligibility for Access to Classified Matter or Special Nuclear Material  

NLE Websites -- All DOE Office Websites (Extended Search)

e-CFR Data is current as of April 7, 2008 e-CFR Data is current as of April 7, 2008 Title 10: Energy PART 710-CRITERIA AND PROCEDURES FOR DETERMINING ELIGIBILITY FOR ACCESS TO CLASSIFIED MATTER OR SPECIAL NUCLEAR MATERIAL Subpart A-General Criteria and Procedures for Determining Eligibility for Access to Classified Matter or Special Nuclear Material Source: 59 FR 35185, July 8, 1994, unless otherwise noted. General Provisions § 710.1 Purpose. (a) This subpart establishes the criteria, procedures, and methods for resolving questions concerning the eligibility of individuals who are employed by, or applicants for employment with, Department of Energy (DOE) contractors, agents, and access permittees, individuals who are DOE employees or applicants for DOE employment, and other persons designated by the Secretary of Energy, for access to Restricted Data

429

Repeated double cross-validation for choosing a single solution in evolutionary multi-objective fuzzy classifier design  

Science Conference Proceedings (OSTI)

The main advantage of multi-objective genetic fuzzy systems (MoGFS) is that a number of non-dominated fuzzy rule-based systems are obtained along the tradeoff surface among conflicting objectives. Accuracy maximization, complexity minimization and interpretability ... Keywords: Evolutionary multi-objective optimization, Fuzzy rule-based classifiers, Multi-objective genetic fuzzy systems, Multi-objective genetics-based machine learning, Repeated double cross-validation

Hisao Ishibuchi, Yusuke Nojima

2013-12-01T23:59:59.000Z

430

Purchase of Computers for the U.S. Department of Agriculture Forest Service at the Savannah River Site, OAS-M-12-03  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Audits and Inspections Audits and Inspections Management Alert Purchase of Computers for the U.S. Department of Agriculture Forest Service at the Savannah River Site OAS-M-12-03 March 2012 Department of Energy Washington, DC 20585 March 23, 2012 MEMORANDUM FOR THE MANAGER, SAVANNAH RIVER OPERATIONS OFFICE FROM: Rickey R. Hass Deputy Inspector General for Audits and Inspections Office of Inspector General SUBJECT: INFORMATION: Management Alert on "Purchase of Computers for the U.S. Department of Agriculture Forest Service at the Savannah River Site" IMMEDIATE CONCERN In October 2011, the Office of Inspector General received a complaint that the U.S. Department of Agriculture Forest Service - Savannah River (Forest Service) had purchased a number of

431

Microsoft Word - ProvisionsFundsColvilleConfederatedTribesPurchaseLoupLoupCreekAeneasCreekProperties_CX.doc  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

7, 2011 7, 2011 REPLY TO ATTN OF: KEC-4 SUBJECT: Environmental Clearance Memorandum Dave Roberts Project Manager - KEWU-4 Proposed Action: Provisions of funds to the Colville Confederated Tribes for purchase of the Loup Loup Creek and Aeneas Creek properties. Fish and Wildlife Project No.: 2008-104-00 Categorical Exclusion Applied (from Subpart D, 10 C.F.R. Part 1021): B1.25 Transfer, lease, disposition or acquisition of interests in uncontaminated land for habitat preservation or wildlife management, and only associated buildings that support these purposes. Uncontaminated means that there would be no potential for release of substances at a level, or in a form, that would pose a threat to public health or the environment.

432

Model State Implementation Plan (SIP) Documentation for Wind Energy Purchase in State with Renewable Energy Set-Aside  

Wind Powering America (EERE)

Subcontract Report Subcontract Report NREL/SR-500-38075 May 2005 Model State Implementation Plan (SIP) Documentation for Wind Energy Purchase in State with Renewable Energy Set-Aside Execution through November 30, 2004 A. Hathaway Environmental Resources Trust, Inc. Washington, DC D. Jacobson DJ Consulting LLC McLean, Virginia C. High Resource Systems Group White River Junction, Vermont National Renewable Energy Laboratory 1617 Cole Boulevard, Golden, Colorado 80401-3393 303-275-3000 * www.nrel.gov Operated for the U.S. Department of Energy Office of Energy Efficiency and Renewable Energy by Midwest Research Institute * Battelle Contract No. DE-AC36-99-GO10337 Subcontract Report NREL/SR-500-38075 May 2005 Model State Implementation Plan (SIP) Documentation for Wind

433

Record of Decision for the Fourmile Hill Geothermal Development Project Power Purchase and Transmission Service Agreements (DOE/EIS-0266) (11/20/00)  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

BONNEVILLE POWER ADMINISTRATION BONNEVILLE POWER ADMINISTRATION Fourmile Hill Geothermal Development Project Power Purchase and Transmission Service Agreements Administrator's Record of Decision Summary The Bonneville Power Administration (BPA) has decided to execute Transmission Services Agreements (TSAs) and Power Purchase Agreements (PPAs) with Calpine Siskiyou Geothermal Partners, L.P. (Calpine) to acquire output from the Fourmile Hill Geothermal Development Project (Project). Initially, BPA will execute one or more PPAs in order to acquire up to the entire Project output. TSAs will be executed before the Project becomes operational. The United States Forest Service (Forest Service) and the Bureau of Land Management (BLM) were the joint lead Federal agencies in the preparation of

434

The impact of consumer trust on attitudinal loyalty and purchase intentions in B2C e-marketplaces: Intermediary trust vs. seller trust  

Science Conference Proceedings (OSTI)

The online merchant of an e-marketplace consists of an intermediary, providing the market infrastructure, and the community of sellers conducting business within that infrastructure. Typically, consumers willingly buy from unknown sellers within an e-marketplace, ... Keywords: Attitudinal loyalty, B2C e-marketplace, Consumer trust, Intermediary, Purchase intentions

Ilyoo B. Hong; Hwihyung Cho

2011-10-01T23:59:59.000Z

435

A publication of the Airport Technical Assistance Program of the Center for Transportation Studies at the University of Minnesota Purchasing equipment for your airport can  

E-Print Network (OSTI)

at the University of Minnesota Purchasing equipment for your airport can be an easy process with the help of your Mn and future needs, research equipment types and manufacturers, get several price estimates, justify the need for the equip- ment, provide background information to your airport sponsor, and verify that the costs

Minnesota, University of

436

Environmental assessment for the purchase of Russian low enriched uranium derived from the dismantlement of nuclear weapons in the countries of the former Soviet Union  

SciTech Connect

The United States is proposing to purchase from the Russian Federation low enriched uranium (LEU) derived from highly enriched uranium (HEU) resulting from the dismantlement of nuclear weapons in the countries of the former Soviet Union. The purchase would be accomplished through a proposed contract requiring the United States to purchase 15,250 metric tons (tonnes) of LEU (or 22,550 tonnes of UF{sub 6}) derived from blending 500 metric tones uranium (MTU) of HEU from nuclear warheads. The LEU would be in the form of uranium hexafluoride (UF{sub 6}) and would be converted from HEU in Russia. The United States Enrichment Corporation (USEC) is the entity proposing to undertake the contract for purchase, sale, and delivery of the LEU from the Russian Federation. The US Department of Energy (DOE) is negotiating the procedure for gaining confidence that the LEU is derived from HEU that is derived from dismantled nuclear weapons (referred to as ``transparency),`` and would administer the transparency measures for the contract. There are six environments that could potentially be affected by the proposed action; marine (ocean); US ports of entry; truck or rail transportation corridors; the Portsmouth GDP; the electric power industry; and the nuclear fuel cycle industry. These environmental impacts are discussed.

Not Available

1994-01-01T23:59:59.000Z

437

Portland State University Standard Terms and Conditions for the Purchase of Goods and Services, Effective July 1, 2004 Ts & Cs Goods and Services-1.DOC  

E-Print Network (OSTI)

Portland State University Standard Terms and Conditions for the Purchase of Goods and Services, Effective July 1, 2004 Ts & Cs Goods and Services-1.DOC PORTLAND STATE UNIVERSITY STANDARD TERMS, including but not limited to the Invitation to Bid or Request for Proposal and its specifications, terms

Lafferriere, Gerardo

438

List of currently classified documents relative to Hanford Production Facilities Operations originated on the Hanford Site between 1961 and 1972  

Science Conference Proceedings (OSTI)

The United States Department of Energy (DOE) has declared that all Hanford plutonium production- and operations-related information generated between 1944 and 1972 is declassified. Any documents found and deemed useful for meeting Hanford Environmental Dose Reconstruction (HEDR) objectives may be declassified with or without deletions in accordance with DOE guidance by Authorized Derivative Declassifiers. The September 1992, letter report, Declassifications Requested by the Technical Steering Panel of Hanford Documents Produced 1944--1960, (PNWD-2024 HEDR UC-707), provides an important milestone toward achieving a complete listing of documents that may be useful to the HEDR Project. The attached listing of approximately 7,000 currently classified Hanford-originated documents relative to Hanford Production Facilities Operations between 1961 and 1972 fulfills TSP Directive 89-3. This list does not include such titles as the Irradiation Processing Department, Chemical Processing Department, and Hanford Laboratory Operations monthly reports generated after 1960 which have been previously declassified with minor deletions and made publicly available. Also Kaiser Engineers Hanford (KEH) Document Control determined that no KEH documents generated between January 1, 1961 and December 31, 1972 are currently classified. Titles which address work for others have not been included because Hanford Site contractors currently having custodial responsibility for these documents do not have the authority to determine whether other than their own staff have on file an appropriate need-to-know. Furthermore, these documents do not normally contain information relative to Hanford Site operations.

Not Available

1993-04-01T23:59:59.000Z

439

Personal vehicles preferred by urban Americans: household automobile holdings and new car purchases projected to the year 2000  

DOE Green Energy (OSTI)

A procedure is described for modeling the choices made in urban American households among personal vehicles on the bases of cost, passenger capacity, and engine technology, and it projects those preferences to the year 1990 and 2000. The results of this disaggregate technique are used by the other predictive research tasks undertaken by Argonne National Laboratory in a project entitled Technology Assessment of Productive Conservation in Urban Transportation (TAPCUT). The vehicle preferences reported here furnish data for the overall TAPCUT objective of forecasting the probable effects of energy conservation policies in transportation. In our projections, vehicles with standard spark-ignition (Otto-cycle) engines continue to dominate automobile holdings and new car purchases in either of two socioeconomic scenarios under any of three settings (an existing policy set and two alternative conservation strategies). From 1990, small cars (seating four or fewer passengers) dominate urban holdings and sales in two of the three TAPCUT energy strategies - the exception being the strategy that emphasizes individual travel - and this holds true with only a minor variation for both socioeconomic scenarios (an optimistic one and a slightly pessimistic one). Advanced-technology vehicles are most successful under the Individual Travel Strategy. It appears that vehicle charateristics are far more significant than demographic descriptors in estimating household vehicle choice using this modeling approach.

Saricks, C.L.; Vyas, A.D.; Bunch, J.A.

1982-01-01T23:59:59.000Z

440

An application of support vector machine in bioinformatics: automated recognition of epileptiform patterns in EEG using SVM classifier designed by a perturbation method  

Science Conference Proceedings (OSTI)

We introduce an approach based on perturbation method for input dimension reduction in Support Vector Machine (SVM) classifiers. If there exists redundant data components in training data set, they can be discarded by analyzing the total disturbance ...

Nurettin Ac?r; Cüneyt Güzeli?

2004-10-01T23:59:59.000Z

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


441

Evaluation of a Satellite Multispectral VIS–IR Daytime Statistical Rain-Rate Classifier and Comparison with Passive Microwave Rainfall Estimates  

Science Conference Proceedings (OSTI)

A daytime surface rain-rate classifier, based on artificial neural networks (ANNs), is proposed for the Spinning Enhanced Visible and Infrared Imager (SEVIRI) on board the Meteosat-8 geostationary satellite. It is developed over the British Isles ...

Davide Capacci; Federico Porcù

2009-02-01T23:59:59.000Z

442

KRT Wire | 07/19/2004 | 'Wonderbug' changes waste into power News | Business | Sports | Entertainment | Living/FYI | Classifieds | Jobs | Cars | Homes  

E-Print Network (OSTI)

, generate electricity from rust and garbage, and even run a toy car. It's a lot to expect from an invisible | Entertainment | Living/FYI | Classifieds | Jobs | Cars | Homes Register or Log In. Member Benefits News Election

Lovley, Derek

443

List of currently classified documents relative to Hanford Operations and of potential use in the Columbia River Comprehensive Impact Assessment, January 1, 1973--June 20, 1994  

Science Conference Proceedings (OSTI)

The Columbia River Comprehensive Impact Assessment (CRCIA) Project seeks to estimate the current risk from the Columbia River resulting from past and present Hanford activities. To resolve the question of the current risk, it is necessary for the CRCIA Project to have access to any classified information that may be relevant to this study. The purpose of this report is to present the results of the search for relevant classified information. There are two classified matter control centers operated by two prime contractors at the Hanford Site. One is operated by Pacific Northwest Laboratory (PNL) and the other is operated by Westinghouse Hanford Company (WHC). Only the WHC collection contained information relevant to a study of the Columbia River in the time frame of interest: January 1, 1973 through June 20, 1994. A list of the classified documents in the WHC collection is maintained in the WHC Classified Document Control database. The WHC Classified Document Control database was searched. The search criteria were the dates of interest and the basic keywords used for the CRCIA Project`s data compendium (Eslinger et al. 1994). All Hanford-generated, Hanford-related entries that were applicable to the CRCIA Project and the dates of interest were provided. The resulting list of 477 titles comprises the Appendix of this report. The information give for each title is exactly as it appears in the database. Any inconsistencies are the result of duplicating the database.

Miley, T.B.; Huesties, L.R.

1995-02-01T23:59:59.000Z

444

January JOM Classifieds - TMS  

Science Conference Proceedings (OSTI)

Jan 1, 2009 ... lings, weed or turn compost bins, and lay wood chips along the paths, among other duties. The project is free and includes transportation to the ...

445

Fermilab Today - Classifieds  

NLE Websites -- All DOE Office Websites (Extended Search)

a view of secluded and shady backyard with concrete patio and patio furniture, shed and small garden. Included appliances are: GE gas range and dishwasher, refrigerator,...

446

Solar Power Purchase Agreements  

Energy.gov (U.S. Department of Energy (DOE))

This presentation was given January 15, 2013, by Brian Millberg, Energy Manager for the City of Minneapolis, Minnesota, as part of the CommRE Developing PV Projects With RFPs and PPAs webinar.

447

Government Purchase Card Program  

Energy.gov (U.S. Department of Energy (DOE))

The General Services Administration (GSA) SmartPay2 program provides charge cards to U.S. Government agencies, including the Department of Energy (DOE). Through GSA, DOE has contracted with JP...

448

A NEW METHOD FOR CLASSIFYING FLARES OF UV Ceti TYPE STARS: DIFFERENCES BETWEEN SLOW AND FAST FLARES  

SciTech Connect

In this study, a new method is presented to classify flares derived from the photoelectric photometry of UV Ceti type stars. This method is based on statistical analyses using an independent samples t-test. The data used in analyses were obtained from four flare stars observed between 2004 and 2007. The total number of flares obtained in the observations of AD Leo, EV Lac, EQ Peg, and V1054 Oph is 321 in the standard Johnson U band. As a result flares can be separated into two types, slow and fast, depending on the ratio of flare decay time to flare rise time. The ratio is below 3.5 for all slow flares, while it is above 3.5 for all fast flares. Also, according to the independent samples t-test, there is a difference of about 157 s between equivalent durations of slow and fast flares. In addition, there are significant differences between amplitudes and rise times of slow and fast flares.

Dal, H. A.; Evren, S., E-mail: ali.dal@ege.edu.t [Department of Astronomy and Space Sciences, University of Ege, Bornova, 35100 Izmir (Turkey)

2010-08-15T23:59:59.000Z

449

Purchasing Services and Accounts Payable Vendor's Manual at The University of Tulsa. Revised April, 2012(This information is confidential and it is intended for use only by TU employees). Page 1  

E-Print Network (OSTI)

...............................................................................................................................................66 AIR FARE. The bidding procedure is a formal request for a sealed bid according to Purchasing Services policies. The bidder must submit the sealed bid to be considered for a bid award. A formal sealed bid may be modified

Reynolds, Albert C.

450

FINAL ENVIRONMENTAL ASSESSMENT FOR REMOVAL ACTIONS AT THE TECHNICAL AREA III CLASSIFIED WASTE LANDFILL, SANDIA NATIONAL LABORATORIES, NEW MEXICO - DOE/EA-1729  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

FINAL ENVIRONMENTAL ASSESSMENT FOR REMOVAL FINAL ENVIRONMENTAL ASSESSMENT FOR REMOVAL ACTIONS AT THE TECHNICAL AREA III CLASSIFIED WASTE LANDFILL, SANDIA NATIONAL LABORATORIES, NEW MEXICO DOE/EA-1729 August 2010 National Nuclear Security Administration Sandia Site Office P.O. Box 5400 Albuquerque, New Mexico 87185-5400 DOE/EA-1729: Environmental Assessment for Removal Actions at the Technical Area III August 2010 Classified Waste Landfill, Sandia National Laboratories, New Mexico i TABLE OF CONTENTS Section 1.0 PURPOSE AND NEED FOR AGENCY ACTION .................................................................... Page 1 1.1 Background .................................................................................................................................. 1

451

An overproduce-and-choose strategy to create classifier ensembles with tuned SVM parameters applied to real-world fault diagnosis  

Science Conference Proceedings (OSTI)

We present a supervised learning classification method for model-free fault detection and diagnosis, aiming to improve the maintenance quality of motor pumps installed on oil rigs. We investigate our generic fault diagnosis method on 2000 examples of ... Keywords: classifier ensemble, fault diagnosis, feature extraction, feature selection, multi-label classification, support vector machine

Estefhan Dazzi Wandekokem; Flávio M. Varejão; Thomas W. Rauber

2010-11-01T23:59:59.000Z

452

TMS Jobs and Careers Page  

Science Conference Proceedings (OSTI)

For information about purchasing classified advertising in JOM, visit the journal's advertising page or reserve a classified space by submitting the Classified ...

453

Power Purchase Agreement Checklist for State and Local Governments; Energy Analysis; Fact Sheet Series on Financing Renewable Energy Projects, National Renewable Energy Laboratory (NREL)  

NLE Websites -- All DOE Office Websites (Extended Search)

fact sheet provides information and guidance on the fact sheet provides information and guidance on the solar photovoltaic (PV) power purchase agreement (PPA), which is a financing mechanism that state and local govern- ment entities can use to acquire clean, renewable energy. We address the financial, logistical, and legal questions relevant to implementing a PPA, but we do not examine the technical details-those can be discussed later with the developer/con- tractor. This fact sheet is written to support decision makers in U.S. state and local governments who are aware of solar PPAs and may have a cursory knowledge of their structure but they still require further information before committing to a particular project. Overview of PPA Financing The PPA financing model is a "third-party" ownership

454

The Navy seeks to identify responsible sources and obtain information in regard to purchasing renewable power for Naval Air Station (NAS) Fallon, located in Fallon, NV  

NLE Websites -- All DOE Office Websites (Extended Search)

REQUEST FOR INFORMATION (RFI) for Renewable Generation REQUEST FOR INFORMATION (RFI) for Renewable Generation Opportunities at NAWS China Lake, NAS Fallon, MCAGCC 29 Palms, and MCAS Yuma The Department of Navy (DoN) intends to issue a Request for Proposal (RFP) in early 2009 for renewable energy generation opportunities at Naval Air Weapons Station (NAWS) China Lake, California; Naval Air Station (NAS) Fallon, Nevada; Marine Corps Air Ground Combat Center (MCAGCC) Twentynine Palms, California, and Marine Corps Air Station (MCAS) Yuma, Arizona. The DoN will consider opportunities for the purchase of renewable power, developer wholesale generation, distributed generation, and the combination of those opportunities. Specifically, the Navy will provide Government land on these installations for large

455

The Solarize Guidebook: A community guide to collective purchasing of residential PV systems (Book), SunShot, U.S. Department of Energy (DOE)  

NLE Websites -- All DOE Office Websites (Extended Search)

SOLARIZE GUIDEBOOK: SOLARIZE GUIDEBOOK: A community guide to collective purchasing of residential PV systems 1 ACKNOWLEDGEMENTS This guide is an updated version of the original The Solarize Guidebook, published in February 2011 (see www.nrel.gov/docs/fy11osti/50440.pdf), which was developed for the National Renewable Energy Laboratory and the City of Portland. The original Solarize campaigns were initiated and replicated by Portland's Neighborhood Coalition network with help from the Energy Trust of Oregon, City of Portland, and Solar Oregon. AUTHORS Linda Irvine, Alexandra Sawyer and Jennifer Grove, Northwest Sustainable Energy for Economic Development (Northwest SEED). Northwest SEED is solely responsible for errors and omissions. CONTRIBUTORS Lee Rahr, Portland Bureau of Planning and Sustainability

457

Markov blanket-based approach for learning multi-dimensional Bayesian network classifiers: An application to predict the European Quality of Life-5 Dimensions (EQ-5D) from the 39-item Parkinson's Disease Questionnaire (PDQ-39)  

Science Conference Proceedings (OSTI)

Multi-dimensional Bayesian network classifiers (MBCs) are probabilistic graphical models recently proposed to deal with multi-dimensional classification problems, where each instance in the data set has to be assigned to more than one class variable. ... Keywords: EQ-5D, Markov blanket, Multi-dimensional Bayesian network classifiers, Multi-dimensional classification, PDQ-39, Parkinson's disease

Hanen Borchani; Concha Bielza; Pablo Mart?Nez-Mart?N; Pedro LarrañAga

2012-12-01T23:59:59.000Z

458

Customer Name: (First name, middle initial, last name) Social Security Number or Federal ID Number TAMU Customer Number (if assigned) Customer Information: Persons authorized to make purchases on this account  

E-Print Network (OSTI)

Customer Name: (First name, middle initial, last name) Social Security Number or Federal ID Number TAMU Customer Number (if assigned) Customer Information: Persons authorized to make purchases: Email Address: Phone: Fax: Phone: Fax: Name: Title: Customer Representative Signature: Date: This form

Meagher, Mary

459

Make TBO Your Home Page | Subscribe / Manage Acct. | Advertise With Us | Contact Us | Login | Edit Profile | Register NEWS WEATHER COMMUNITY ENTERTAINMENT SPORTS LIFESTYLES TOOLS Jobs Autos Real Estate Deals Classifieds Services  

E-Print Network (OSTI)

Deals Classifieds Services Search: Enter Search Term or Keyword Submit Query Tampa 75.0º Partly Cloudy | Site Map | Media General Operations Credit Terms and Conditions WFLA: See news developing? Email

Van Stryland, Eric

460

A HISTORY OF CLASSIFIED ACTIVITIES  

E-Print Network (OSTI)

OF BRITISH ATOMIC BOMB CALCULATIONS ON THE U.S. NUCLEARFISSIONPROGRAM ................................. 7 the United States' super-secretWorld War II project to construct an atomic bomb (the Manhattan Project, in 2000, essentiallyall ORNL activities areunclassified. The major purposeof this report is to provide

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


461

Multiobjectivization for classifier parameter tuning  

Science Conference Proceedings (OSTI)

We present a multiobjectivization approach to the parameter tuning of RBF networks and multilayer perceptrons. The approach works by adding two new objectives -- maximization of kappa statistic and minimization of root mean square error -- to the originally ... Keywords: classification, evolutionary algorithm, machine learning, multiobjective optimization, multiobjectivization, parameter tuning

Martin Pilat; Roman Neruda

2013-07-01T23:59:59.000Z

462

Coups, Corporations, and Classified Information  

E-Print Network (OSTI)

Selection Company Name Anaconda Co. Anglo Lautaro Nitrateattempt. Chile 1971-73 “Anaconda was one of those on thethe holdings of Anaconda and other U.S. companies." . -

Kaplan, Ethan; Dube, Arindrajit; Naidu, Suresh

2008-01-01T23:59:59.000Z

463

Purchased Electricity - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Other products includes pentanes plus, other hydrocarbons, oxygenates, hydrogen, unfinished oils, gasoline, special naphthas, jet fuel, lubricants, asphalt and road ...

464

Purchased Steam - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Other products includes pentanes plus, other hydrocarbons, oxygenates, hydrogen, unfinished oils, gasoline, special naphthas, jet fuel, lubricants, asphalt and road ...

465

An examination of electronic file transfer between host and microcomputers for the AMPMODNET/AIMNET (Army Material Plan Modernization Network/Acquisition Information Management Network) classified network environment  

Science Conference Proceedings (OSTI)

This report presents the results of investigation and testing conducted by Oak Ridge National Laboratory (ORNL) for the Project Manager -- Acquisition Information Management (PM-AIM), and the United States Army Materiel Command Headquarters (HQ-AMC). It concerns the establishment of file transfer capabilities on the Army Materiel Plan Modernization (AMPMOD) classified computer system. The discussion provides a general context for micro-to-mainframe connectivity and focuses specifically upon two possible solutions for file transfer capabilities. The second section of this report contains a statement of the problem to be examined, a brief description of the institutional setting of the investigation, and a concise declaration of purpose. The third section lays a conceptual foundation for micro-to-mainframe connectivity and provides a more detailed description of the AMPMOD computing environment. It gives emphasis to the generalized International Business Machines, Inc. (IBM) standard of connectivity because of the predominance of this vendor in the AMPMOD computing environment. The fourth section discusses two test cases as possible solutions for file transfer. The first solution used is the IBM 3270 Control Program telecommunications and terminal emulation software. A version of this software was available on all the IBM Tempest Personal Computer 3s. The second solution used is Distributed Office Support System host electronic mail software with Personal Services/Personal Computer microcomputer e-mail software running with IBM 3270 Workstation Program for terminal emulation. Test conditions and results are presented for both test cases. The fifth section provides a summary of findings for the two possible solutions tested for AMPMOD file transfer. The report concludes with observations on current AMPMOD understanding of file transfer and includes recommendations for future consideration by the sponsor.

Hake, K.A.

1990-11-01T23:59:59.000Z

466

Sunco Oil manufactures three types of gasoline (gas 1, gas 2 and gas 3). Each type is produced by blending three types of crude oil (crude 1, crude 2 and crude 3). The sales price per barrel of gasoline and the purchase price per  

E-Print Network (OSTI)

Sunco Oil manufactures three types of gasoline (gas 1, gas 2 and gas 3). Each type is produced by blending three types of crude oil (crude 1, crude 2 and crude 3). The sales price per barrel of gasoline and the purchase price per barrel of crude oil are given in following table: Gasoline Sale Price per barrel Gas 1

Phillips, David

467

A Semantic Triplet Based Story Classifier  

Science Conference Proceedings (OSTI)

A story is defined as "an actor(s) taking action(s) that culminates in a resolution(s)." In this paper, we investigate the utility of standard keyword based features, statistical features based on shallow-parsing (such as density of POS tags and named ... Keywords: Feature extraction,Semantics,Accuracy,Organizations,Support vector machines,Humans,Standards organizations

Betul Ceran; Ravi Karad; Ajay Mandvekar; Steven R. Corman; Hasan Davulcu

2012-08-01T23:59:59.000Z

468

NNSA's Sequoia Supercomputer Transitions to Classified Work,...  

NLE Websites -- All DOE Office Websites (Extended Search)

Newsletters Press Releases Speeches Events Social Media Video Gallery Photo Gallery NNSA Archive Federal Employment Apply for Our Jobs Our Jobs Working at NNSA Blog Home >...

469

Fuzzy set classifier for waste classification tracking  

SciTech Connect

We have developed an expert system based on fuzzy logic theory to fuse the data from multiple sensors and make classification decisions for objects in a waste reprocessing stream. Fuzzy set theory has been applied in decision and control applications with some success, particularly by the Japanese. We have found that the fuzzy logic system is rather easy to design and train, a feature that can cut development costs considerably. With proper training, the classification accuracy is quite high. We performed several tests sorting radioactive test samples using a gamma spectrometer to compare fuzzy logic to more conventional sorting schemes.

Gavel, D.T.

1992-11-04T23:59:59.000Z

470

NNSA's Sequoia Supercomputer Transitions to Classified Work,...  

National Nuclear Security Administration (NNSA)

to addressing nonproliferation and counterterrorism issues as well as informing other national security decisions such as nuclear weapon policy and treaty agreements. Delivered...

471

Classified Ads Harvesting Agent and Notification System  

E-Print Network (OSTI)

The shift from an information society to a knowledge society require rapid information harvesting, reliable search and instantaneous on demand delivery. Information extraction agents are used to explore and collect data available from Web, in order to effectively exploit such data for business purposes, such as automatic news filtering, advertisement or product searching and price comparing. In this paper, we develop a real-time automatic harvesting agent for adverts posted on Servihoo web portal and an SMS-based notification system. It uses the URL of the web portal and the object model, i.e., the fields of interests and a set of rules written using the HTML parsing functions to extract latest adverts information. The extraction engine executes the extraction rules and stores the information in a database to be processed for automatic notification. This intelligent system helps to tremendously save time. It also enables users or potential product buyers to react more quickly to changes and newly posted sales...

Doomun, Razvi; Nadeem, Auleear; Aukin, Mozafar

2010-01-01T23:59:59.000Z

472

Classifying forest productivity at different scales  

DOE Green Energy (OSTI)

Spatial scale is an important consideration when evaluating, using, or constructing forest productivity classifications. First, the factors which dominate spatial variability in forest productivity are scale dependent. For example, within a stand, spatial variability in productivity is dominated by microsite differences; within a national forest such as the Cherokee National Forest, spatial variability is dominated by topography and land-use history (e.g., years since harvest); within a large region such as the southeast, spatial variability is dominated by climatic patterns. Second, classifications developed at different spatial scales are often used for different purposes. For example, stand-level classifications are often keys or rules used in the field to judge the quality or potential of a site. National-forest classifications are often presented as maps or tables and may be used in forest land planning. Regional classifications may be maps or tables and may be used to quantify or predict resource availability. These scale-related differences in controlling factors and purposes will affect both the methods and the data used to develop classifications. In this paper, I will illustrate these points by describing and comparing three forest productivity classifications, each developed for a specific purpose at a specific scale. My objective is not to argue for or against any of these particular classifications but rather to heighten awareness of the critical role that spatial scale plays in the use and development of forest productivity classifications. 8 refs., 2 figs., 1 tab.

Graham, R.L.

1991-01-01T23:59:59.000Z

473

Fermilab Today | Classified Ads | Archive - 2013  

NLE Websites -- All DOE Office Websites (Extended Search)

Profiles Experiment Profiles Current Archive Current Fermilab Today Archive of 2013 Archive of 2012 Archive of 2011 Archive of 2010 Archive of 2009 Archive of 2008 Archive...

474

NNSA's Cielo Supercomputer Approved for Classified Operation...  

National Nuclear Security Administration (NNSA)

which supports Lawrence Livermore National Laboratory, Los Alamos National Laboratory (LANL) and Sandia National Laboratories, is a petascale supercomputer that helps NNSA ensure...

475

Detect and classify faults using neural nets  

SciTech Connect

The analysis of transmission line faults is essential to the proper performance of the power system. It is required if protective relays are to take the appropriate action and in monitoring the performance of relays, circuit breakers, and other protective and control elements. The detection and classification of transmission line faults is a fundamental component of such fault analysis. Another application of fault analysis is in software packages for automated analysis of digital fault recorder (DFR) files. Recently, such a package, called DFR Assistant, was developed for substation applications. This program can be installed locally in a substation, in which case it is connected directly to the DFR via a high speed parallel link, or it can be installed at a central station, in which case it can be configured to automatically analyze events coming from all DFRs.

Kezunovic, M.; Rikalo, I.

1996-10-01T23:59:59.000Z

476

New method for classifying construction information  

E-Print Network (OSTI)

Classification plays a vital role in construction specifications, structuring of construction documents, measuring bills of quantities, and calculation of construction costs. A multitude of classification systems exists in the global construction market with very little commonality among them. With continued globalization of the construction industry and the rapid development toward a computer integrated construction process based on computer-aided product data modeling, the need for a uniform general classification system is felt more than ever by the construction professionals. The purpose of this study is to analyze the major classification systems of construction works, such as MasterFormat or UniFormat used in the United States, and SfB, CI/SfB, or UniClass used in the European countries and elsewhere in the world, and to describe the adaptability of a new system for Relational Database Management System. Based on the results of study, an interactive database of new construction information classification system is constructed. This study will be useful as a foundation for an identification of construction works uniformly on a global basis.

Lee, Sunku

2001-01-01T23:59:59.000Z

477

Federal Investigators Classify WTC Victims' Locations Within ...  

Science Conference Proceedings (OSTI)

... Additionally, there were 18 people (non-WTC occupants) killed outside the building by debris and jet fuel. Background. ...

2013-01-03T23:59:59.000Z

478

Office of Headquarters Security Operations: Classified Matter...  

NLE Websites -- All DOE Office Websites (Extended Search)

protected and controlled within the DOE environment. Headquarters CMPC implementation of DOE Orders and other national directives are contained within the Headquarters Facilities...

479

Building structures from classifiers for passage reranking  

Science Conference Proceedings (OSTI)

This paper shows that learning to rank models can be applied to automatically learn complex patterns, such as relational semantic structures occurring in questions and their answer passages. This is achieved by providing the learning algorithm with a ... Keywords: kernel methods, learning to rank, question answering, structural kernels

Aliaksei Severyn, Massimo Nicosia, Alessandro Moschitti

2013-10-01T23:59:59.000Z

480

Sequoia supercomputer transitions to classified work  

NLE Websites -- All DOE Office Websites (Extended Search)

which helps the United States ensure the safety, security and effectiveness of its aging nuclear weapons stockpile without the use of underground testing. The 20 petaflops...

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


481

Brookhaven Retired Employee's Association (BERA) Classified...  

NLE Websites -- All DOE Office Websites (Extended Search)

a membership application form, or contact our membership secretary: Carmen Benkovitz 12 Sandy Drive Smithtown, NY 11787 And whether you are a member or not, please feel free to...

482

RFP for green energy purchase.PDF  

NLE Websites -- All DOE Office Websites (Extended Search)

DEPARTMENT OF WATER AND POWER DEPARTMENT OF WATER AND POWER OF THE CITY OF LOS ANGELES REQUEST FOR PROPOSAL TO PROVIDE NEW AND/OR EXISTING RENEWABLE ENERGY FOR THE DEPARTMENT OF WATER AND POWER OF THE CITY OF LOS ANGELES January 4, 2000 Proposal returnable at or before 2 p.m. on February 9, 2001 2 TABLE OF CONTENTS REQUEST FOR PROPOSALS ........................................................................................................................... 3 GENERAL PROCEDURES ................................................................................................................................ 4 SCHEDULE ......................................................................................................................................................... 5 EVALUATION ....................................................................................................................................................

483

High Performance Windows Volume Purchase: For Utilities  

NLE Websites -- All DOE Office Websites (Extended Search)

and mixed climates, R-5 windows on average reduce window heat loss by 40% and overall space conditioning costs by 10% relative to common ENERGY STAR windows. Promotion of high...

484

Renewable Electricity Purchases: History and Recent Developments  

U.S. Energy Information Administration (EIA)

Energy Information Administration/ Renewable Energy Annual 1998 Issues and Trends 1 1 For a broader understanding of electric power industry restructuring, see Energy ...

485

Renewable Electricity Purchases: History and Recent Developments  

Reports and Publications (EIA)

This article presents an analysis of prices of renewable-based electricity that utilities have paid to nonutilities, the primary generators of renewable electricity.

Information Center

1999-02-01T23:59:59.000Z

486

Fossil Energy Techline, “Utility to Purchase Electricity  

E-Print Network (OSTI)

and represents a summary of carbon sequestration news covering the past month. Readers are referred to the actual article(s) for complete information. It is produced by the National Energy Technology Laboratory to provide information on recent activities and publications related to carbon sequestration. It covers domestic, international, public sector, and private sector news. Hi g h l i g h t s Wh at ’s In s i d e? Sequestration in the News

unknown authors

2012-01-01T23:59:59.000Z

487

Purchase Obligations, Earnings Persistence and Stock Returns  

E-Print Network (OSTI)

6, Elements of Financial Statement. (http://www.fasb.org/to consolidated financial statements in order to see whatnotes to consolidated financial statements in order to know

Lee, Kwang June

2010-01-01T23:59:59.000Z

488

Farmers Electric Cooperative (Kalona) - Renewable Energy Purchase...  

Open Energy Info (EERE)

Clean Energy Analysis Low Emission Development Strategies Oil & Gas Smart Grid Solar U.S. OpenLabs Utilities Water Wind Page Actions View form View source History View New Pages...

489

NIST Standard Reference Database Available for Purchase  

Science Conference Proceedings (OSTI)

... for their own duties, tax, and VAT. ... NIST/EPA Gas-Phase Infrared; JCAMP Format. $150. ... NIST/ThermoData Engine Database - Pure Compounds. ...

2013-12-03T23:59:59.000Z

490

Examining world-wide purchasing power parity  

Science Conference Proceedings (OSTI)

exchange rate data spanning long periods of time (say, close to a century or ... horizon data sets have typically analyzed the real exchange rate using various ... (1991) – analyze nominal exchange rates and price ratios separately using the ...

491

Purchase energy-saving products | ENERGY STAR  

NLE Websites -- All DOE Office Websites (Extended Search)

Room AC Calculator Lighting Products Light Fixture & Ceiling Fan Calculator Light Bulb Calculator Includes: CFLs Residential Light Fixtures Office Equipment Products...

492

Bioagent Detector Guide Aids First Responder Purchasing  

Science Conference Proceedings (OSTI)

... needs, the National Institute of Standards and Technology (NIST) recently developed a two-volume guide for the emergency response community. ...

2013-02-11T23:59:59.000Z

493

City of Lansing- Green Power Purchasing Policy  

Energy.gov (U.S. Department of Energy (DOE))

By an executive order from the Mayor's Office, City of Lansing facilities are now required to procure 10% of their energy consumption from renewable sources by 2010, escalating to 15% in 2015 and...

494

JOM: The Member Journal of TMS  

Science Conference Proceedings (OSTI)

For information about purchasing classified advertising in JOM, refer to the ... Additional information about the search, the MSE Department, Michigan Tech, and ...

495

Combinational pixel-by-pixel and object-level classifying, segmenting, and agglomerating in performing quantitative image analysis that distinguishes between healthy non-cancerous and cancerous cell nuclei and delineates nuclear, cytoplasm, and stromal material objects from stained biological tissue materials  

DOE Patents (OSTI)

Quantitative object and spatial arrangement-level analysis of tissue are detailed using expert (pathologist) input to guide the classification process. A two-step method is disclosed for imaging tissue, by classifying one or more biological materials, e.g. nuclei, cytoplasm, and stroma, in the tissue into one or more identified classes on a pixel-by-pixel basis, and segmenting the identified classes to agglomerate one or more sets of identified pixels into segmented regions. Typically, the one or more biological materials comprises nuclear material, cytoplasm material, and stromal material. The method further allows a user to markup the image subsequent to the classification to re-classify said materials. The markup is performed via a graphic user interface to edit designated regions in the image.

Boucheron, Laura E

2013-07-16T23:59:59.000Z

496

Microsoft Word - Buff Cover Report - LLNL Classified IT  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Security Planning for National Security Planning for National Security Information Systems at Lawrence Livermore National Laboratory OAS-M-11-03 April 2011 Department of Energy Washington, DC 20585 April 15, 2011 MEMORANDUM FOR THE ADMINISTRATOR, NATIONAL NUCLEAR SECURITY ADMINISTRATION FROM: Rickey R. Hass Deputy Inspector General for Audits and Inspections Office of Inspector General SUBJECT: INFORMATION: Audit Report on "Security Planning for National Security Information Systems at Lawrence Livermore National Laboratory" BACKGROUND The National Nuclear Security Administration (NNSA) is responsible for the maintenance and security of the Nation's nuclear stockpile, management of nuclear nonproliferation activities, and operation of the naval reactor programs. A significant amount of the information related to these

497

Building Transcription Factor Classifiers and Discovering Relevant Biological Features  

E-Print Network (OSTI)

and its reverse complement are highlighted in red. The conservation score is the output of the Phast for constructing a k-mer conservation matrix is based on output generated by the PhastCons algorithm[49, 50]. Phast for non-conserved, more rapidly changing sites. Given DNA sequence alignments from multiple species, Phast

Kon, Mark

498

What is a design? How should we classify them?  

Science Conference Proceedings (OSTI)

Design theory crosses the boundary between mathematics and statistics, and includes a wide range of disparate types of design. In this paper we present a classification scheme which aims to include as many important types as possible, based on a balance ... Keywords: 05B05, 05B99, 62K99, Block design, Chamber system, Geometry, Incidence, Multiset, Partition

R. A. Bailey; Peter J. Cameron

2007-09-01T23:59:59.000Z

499

Learning dimensionality-reduced classifiers for information fusion  

E-Print Network (OSTI)

The fusion of multimodal sensor information often requires learning decision rules from samples of high-dimensional data. Each data dimension may only be weakly informative for the detection problem of interest. Also, it ...

Varshney, Kush R.

500

CLASSIFY-Profiles: Volume 5: Next Generation Residential Energy Services  

Science Conference Proceedings (OSTI)

As electric utilities prepare for an increasingly deregulated environment, many have begun exploring opportunities to offer expanded services. Such services can strengthen the customer relationship while generating new revenue streams. This guide describes five customer-driven strategic service concepts involving household enhancements, indoor air and water quality, waste management, whole-house technology integration, and simplified energy management. Included in the guide are detailed findings of the r...

1997-02-18T23:59:59.000Z