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Note: This page contains sample records for the topic "xls files graphs" 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

Attachment B.xls | Department of Energy  

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

B.xls Attachment B.xls More Documents & Publications Attachment 5 Volume II Pricing Matrix.xls&0; Attachment 6 Volume V Pricing Matrix for Optional Enhancements.xls&0;...

2

graph  

Science Conference Proceedings (OSTI)

... C++). More information. Journal of Combinatorics dynamic surveys DS8 and DS9 are a bibliography and glossary of graphs. ...

2013-11-18T23:59:59.000Z

3

ITP_Data_Centers.xls | Department of Energy  

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

ITPDataCenters.xls ITPDataCenters.xls ITPDataCenters.xls More Documents & Publications ProjectDescriptionsITPARRAAwards.xls 2003 DOE IGCA Inventory Data for web.xls&0;...

4

OMBDOEFAIR2005.xls | Department of Energy  

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

More Documents & Publications Intnl-NatUnionlistingfor web page2.07Rev2.xls&0; Attachment 5 Volume II Pricing Matrix.xls&0; 2003 DOE IGCA Inventory Data for web.xls&0;...

5

FIMS Data Validation Schedule FY 2010_090729.xls | Department...  

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

FIMS Data Validation Schedule FY 2010090729.xls FIMS Data Validation Schedule FY 2010090729.xls FIMS Data Validation Schedule FY 2010090729.xls More Documents & Publications...

6

consistent (to make pdf file).xls  

Gasoline and Diesel Fuel Update (EIA)

05 05 Q205 Q305 Q405 Q106 Q206 Q306 Q406 Q107 Q207 Q307 Q407 Q108 Q208 Q308 Q408 Q109 Q209 Q309 Q409 Q110 Q210 Q310 Financial Data Corporate Data Revenue (20) 0 247,689 284,194 291,132 267,557 286,629 288,737 253,862 252,257 294,906 301,112 337,216 345,713 426,895 430,731 252,670 190,125 220,267 246,948 263,796 268,826 268,826 261,444 Net Income (20) 18,089 20,879 24,199 26,408 22,703 28,884 29,857 23,132 23,635 30,623 26,038 28,965 27,004 30,128 47,979 1,437 -4,279 8,565 13,044 13,775 17,490 17,490 19,953 Line of Business Income Petroleum (21) 22,360 26,186 26,802 30,996 27,233 33,975 31,840 22,144 24,059 36,814 25,527 29,354 29,701 33,218 51,995 3,276 -205 10,180 15,410 19,303 22,132 22,132 23,629 Oil and Gas Production (16) 17,564 18,727 19,286 22,980 22,398 22,745 21,169 16,167 17,343 22,528 19,760 25,582 28,210 30,272 42,425 688 -3,721 10,071 14,585 21,498

7

Attachment 5 Volume II Pricing Matrix.xls | Department of...  

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

5 Volume II Pricing Matrix.xls&0; Attachment 5 Volume II Pricing Matrix.xls&0; Attachment 5 Volume II Pricing Matrix.xls&0; More Documents & Publications Attachment 6 Volume V...

8

FILE  

Office of Legacy Management (LM)

c&o--L>+/ c&o--L>+/ co.o-09 ~~Epq-J+~~jDU" 1 . [o( / 5-/-- 1, "I ' -i, [ . - -. j s: FILE :3r.jNER is} -------.- pas',: Current: -----__---_---__-------- ----____-_________________ Cwner ccntacted 0 yes 0 nag i+ yet,? date czntacted ----___--I__- Ty-;Pfz ,' F iTiC~CC2~j 1 iljbj AA-r-ti--=' ="L---- /8;' ; z.eseaf-ch & sevei apment EJ F' raducticx scale tssting rJ Pilot si-jle 0 ' jench Scale Fracess 0 Theoretical Studies 0 Samp:! e & haivsis 0 Fz-citity Tvpe 0 Manui artur i ng 0 University 3 Research *27ganizati.sn g Government Spensored Faci I i ty 0 other -~-q_-~ ----- i *c' rcd$srti an Di rposal /Storage T' /P!= I-IF rgfijTk#qfJ- -~L=-=--e---~----- 0 Prime Suacontractot- i f' urchass Order 0 Other infcrmatian

9

eia912.xls  

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

Month Month 2 0 Address 2: City: State: Zip: - to meet the due date.) (Volume of gas in the reservoir that is in addition to the base gas.) Working Gas as of Friday 9:00 AM (Million Cubic Feet) Producing Region Complete and return form no later than 5:00 p.m. Eastern Standard Time on Monday. If this is a resubmission, enter an "X" in the box: EIA ID NUMBER: ATTN: EIA-912 Energy Information Administration, EI-45 U. S. Department of Energy (202) 586-2849 912 Company Name: oog.eia912@eia.gov Fax No.: Email: Ext: Form may be submitted using one of the following methods: Fax to: Address 1: Secure File Transfer: https://signon.eia.doe.gov/upload/notice912.jsp Questions? Email address: Comments: Please explain in this section any unusual data reports. For example, explain any change in working gas as a result of changes in the number or capacity

10

eia910.xls  

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

Address 2: Address 2: City: State: Zip: - 1. Report State (Enter one of the following States in the box): Georgia, New York, 2. To how many end-use customers did you sell natural gas? 3. 4. For companies reporting sales in all States except Georgia: 5. For companies reporting sales in Georgia: PART 2. SUBMISSION INFORMATION (Dollars) Do not report negative numbers or decimals. You may report in either Thousand cubic feet (Mcf) or in Therms. Indicate unit of measure by placing an "X" in the appropriate box. Commercial Residential Commercial Residential Form may be submitted using one of the following methods: Mail to: ATTN: EIA-910 (Dollars) Commercial Residential Mcf Call: Email address: (877) 800 - 5261 Secure File Transfer: https://signon.eia.doe.gov/upload/noticeoog.jsp

11

Pressure Data Within BOP- XLS  

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

This file describes the components within the BOP and the pressure readings taken during diagnostic operations on May 25.

12

xls  

U.S. Energy Information Administration (EIA)

a Includes refuse recovery. capacity data. b Marketed production. e Production of federal offshore natural gas along the c Includes lease condensate.

13

XLS  

U.S. Energy Information Administration (EIA)

Fig5 Short-Term Energy Outlook, November 2013 Natural Gas Prices (Dollars per thousand cubic feet) Month Residential Henry Hub Source: Short-Term Energy Outlook ...

14

EI7223_Information Retrieval_101019.xls Allgemeine Daten  

E-Print Network (OSTI)

EI7223_Information Retrieval_101019.xls Allgemeine Daten: Modulnummer: Modulbezeichnung (dt.): Modulbezeichnung (en.): Information Retrieval in High Dimensional Data Modulniveau: MSc Kürzel: Untertitel Semesterende: Modulbeschreibung Seite 1 von 4 #12;EI7223_Information Retrieval_101019.xls Beschreibung: Inhalt

Kuehnlenz, Kolja

15

EI7157_Molecular_Electronics.xls Allgemeine Daten  

E-Print Network (OSTI)

EI7157_Molecular_Electronics.xls Allgemeine Daten: Modulnummer: EI7157 Modulbezeichnung (dt.): Molecular Electronics Modulbezeichnung (en.): Molecular Electronics Modulniveau: MSc Kürzel: Untertitel7157_Molecular_Electronics.xls Beschreibung: Inhalt: Introduction to organic chemistry. Molecular

Kuehnlenz, Kolja

16

EI7272_Molecular Electronics.xls Allgemeine Daten  

E-Print Network (OSTI)

EI7272_Molecular Electronics.xls Allgemeine Daten: Modulnummer: EI7272 Modulbezeichnung (dt.): Molekulare Elektronik Modulbezeichnung (en.): Molecular Electronics Modulniveau: MSc Kürzel: Mol #12;EI7272_Molecular Electronics.xls Modulbeschreibung Beschreibung: Inhalt: 1) Introduction, history

Kuehnlenz, Kolja

17

New 2005 Survey.xls  

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

filed in 2005 filed in 2005 2005 NEPA Case Dispositions Lead Defendant Cases Filed Injunctions - Remands Gov't Agency FERC 4 0 Judgment for defendant 94 Navy 1 1 Adverse dispositions: 101 NRC 0 0 TRO 1 DOI - BLM 12 4 Preliminary Injunction 18 - FWS 3 1 Permanent Injunction 7 - BuRec 3 0 Remand 23 - NPS 4 0 Dismissal w/ settlement 24 - BIA/NIGC 2 0 Dismissal w/o settlement 24 - MMS 1 1 Case pending, NEPA 204 - OSM 1 0 USDA - FS 50 26 - APHIS 3 1 DOC - NOAA 3 2 Basis for NEPA Dispositions Army - COE 8 4 Gov't Agency Army 1 0 Jurisdictional - P prevailed 2 DOT - FHWA 5 1 Jurisdictional - D prevailed 25 - FTA 2 0 NEPA - Not required 9 - FAA 3 0 NEPA - Is required 4 - MARAD 2 0 CE - Adequate 10 - SLSC 0 0 CE - Not Adequate 2 DOE 3 0 EA - Adequate* 24 EPA 2 0 EA - Not Adequate*

18

eia757b.xls  

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

Fax: (202) 586-1076 If any Plant Identification Data has changed since the last report, Secure File Transfer: Plant Name: Questions? Call: (877) 800-5261 Plant Address 1: Plant Address 2: City: State: County: Zip: - Plant Owner Companies (Top Three): 1 2 3 Operator Company: Processing Plant Operations Contact: Contact Name: Contact Name: Title: Title: Company: Company: Secondary Phone No.: Secondary Phone No.: Page 1 Comments: (To separate one comment from another, press ALT+ENTER) Ext: Ext: NATURAL GAS PROCESSING PLANT SURVEY Schedule B: Emergency Status Report Version No.: 2012.01

19

2003 DOE IGCA Inventory Data for web.xls | Department of...  

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

3 DOE IGCA Inventory Data for web.xls&0; 2003 DOE IGCA Inventory Data for web.xls&0; 2003 DOE IGCA Inventory Data for web.xls&0; More Documents & Publications...

20

2011 Cost Symposium Agenda 4-28-11 web draft.xls | Department...  

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

2011 Cost Symposium Agenda 4-28-11 web draft.xls 2011 Cost Symposium Agenda 4-28-11 web draft.xls 2011 Cost Symposium Agenda 4-28-11 web draft.xls More Documents & Publications...

Note: This page contains sample records for the topic "xls files graphs" 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

FFATA sub reporting data model_draft_100715.xls | Department...  

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

data modeldraft100715.xls More Documents & Publications Policy Flash 2013-46 Awardee in STRIPES Microsoft Word - Policy Flash 2010-82 Attachment 1 Guide to Financial Assistance...

22

New 2001 Survey.xls  

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

1 1 Lead Defendant Cases Filed Injunctions - Remands NEPA Case Dispositions - 2001 FERC 0 0 pre-2001 2001 All Navy 2 1 Judgment for defendant 41 20 66 NRC 0 0 TRO 2 3 5 DOI - BLM 20 2 Preliminary injunction 4 5 6 - FWS 17 1 Permanent injunction 7 0 9 - BuRec 1 0 Remand 8 8 18 - NPS 7 2 Dismissal w/ settlement 16 8 24 - BIA/NIGC 3 0 Dismissal w/o settlement 23 23 41 - MMS 0 0 Other action 9 4 15 - OSM 0 0 Pending 135 USDA - FS 40 15 - APHIS 2 1 DOC - NOAA 8 3 Army - COE 7 2 Plaintiffs Army 0 0 Public Interest groups 175 DOT - FHWA 3 2 Individual/Citizen assoc. 95 - FTA 13 1 State government 11 - FAA 7 0 Local government 37 - MARAD 0 0 Business groups 52 - SLSC 0 0 Property owners/residents 15 DOE 2 0 Indian tribes 11 EPA 4 0 Combination plaintiffs* 63 HUD 0 0 * i.e. local government AND individuals;

23

New 2003 Survey.xls  

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

3 3 Lead Defendant Cases Filed Injunctions - Remands NEPA Case Dispositions - 2003 FERC 0 0 pre-2003 2003 All Navy 0 0 Judgment for defendant 46 3 49 NRC 1 0 TRO 2 2 4 DOI - BLM 15 1 Preliminary injunction 7 4 11 - FWS 2 3 Permanent injunction 5 2 7 - BuRec 11 0 Remand 14 2 16 - NPS 1 1 Dismissal w/ settlement 19 3 22 - BIA/NIGC 2 1 Dismissal w/o settlement 24 5 29 - MMS 0 0 Other action 23 10 33 - OSM 1 0 Pending 107 96 205 USDA - FS 66 14 - APHIS 3 0 DOC - NOAA 6 3 Army - COE 12 4 Plaintiffs Army 2 0 Public Interest groups 191 DOT - FHWA 6 2 Individual/Citizen assoc. 82 - FTA 2 0 State government 8 - FAA 3 1 Local government 16 - MARAD 1 0 Business groups 28 - FMCSA 1 0 Property owners/residents 5 DOE 1 2 Indian tribes 9 EPA 0 0 Combination plaintiffs* 42 HUD 1 0 * i.e. local government AND individuals;

24

New 2002 Survey.xls  

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

2 2 Lead Defendant Cases Filed Injunctions - Remands NEPA Case Dispositions - 2002 FERC 0 0 pre-2002 2002 All Navy 3 1 Judgment for defendant 33 16 49 NRC 0 0 TRO 1 1 2 DOI - BLM 18 1 Preliminary injunction 4 4 8 - FWS 12 2 Permanent injunction 11 8 19 - BuRec 2 0 Remand 12 3 15 - NPS 4 1 Dismissal w/ settlement 18 4 22 - BIA/NIGC 3 1 Dismissal w/o settlement 26 26 52 - MMS 0 0 Other action 36 17 53 - OSM 0 0 Pending 107 61 168 USDA - FS 40 14 - APHIS 0 0 DOC - NOAA 10 6 Army - COE 13 2 Plaintiffs Army 0 0 Public Interest groups 229 DOT - FHWA 10 5 Individual/Citizen assoc. 142 - FTA 7 2 State government 16 - FAA 16 3 Local government 50 - MARAD 0 0 Business groups 64 - FMCSA 1 0 Property owners/residents 19 DOE 4 1 Indian tribes 18 EPA 1 1 Combination plaintiffs* 84 HUD 1 0 * i.e. local government AND individuals;

25

New 2004 Survey.xls  

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

4 4 Lead Defendant Cases Filed Injunctions - Remands NEPA Case Dispositions - 2004 FERC 2 0 pre-2004 2004 All Navy 2 2 Judgment for defendant 42 8 50 NRC 2 0 TRO 2 2 4 DOI - BLM 19 5 Preliminary injunction 9 6 15 - FWS 5 0 Permanent injunction 6 1 7 - BuRec 1 0 Remand 17 0 17 - NPS 4 2 Dismissal w/ settlement 23 5 28 - BIA/NIGC 0 2 Dismissal w/o settlement 26 15 41 - MMS 0 0 Other action 0 0 0 - OSM 0 0 Pending 126 125 251 USDA - FS 76 12 - APHIS 3 0 DOC - NOAA 15 1 Army - COE 13 1 Plaintiffs Army 1 0 Public Interest groups 232 DOT - FHWA 11 2 Individual/Citizen assoc. 83 - FTA 0 0 State government 11 - FAA 2 1 Local government 21 - MARAD 0 0 Business groups 27 - SLSC 0 0 Property owners/residents 11 DOE 4 2 Indian tribes 13 EPA 6 0 Combination plaintiffs* 9 HUD 0 0 * i.e. local government AND individuals;

26

Nevada Bureau of Mines and Geology Open-File Report 12-3 Data Tables and Graphs of Geothermal Power Production in Nevada,  

E-Print Network (OSTI)

This report summarizes statistics on geothermal power production in Nevada from initial plant construction in 1985 through 2011. Data are compiled on nameplate capacity, gross production, and net production by producing geothermal area. Graphs illustrate trends for individual areas and for Nevada overall. The data and graphs are in an Excel spreadsheet, which is also available online with this document, at

Lisa Shevenell; Jonathan G. Price; Ronald H. Hess

2012-01-01T23:59:59.000Z

27

DOE Recovery Act Awardees The data contained within the .xls...  

Open Energy Info (EERE)

be updated weekly by the DOE.
2010-12-16T22:30:08Z 2011-01-03T16:54:34Z http:www.energy.govrecoverydocumentsrecoveryactfunding.xls I accessed this dataset from a public...

28

EI7203_Quantum_Nanoelectronics.xls Allgemeine Daten  

E-Print Network (OSTI)

EI7203_Quantum_Nanoelectronics.xls Allgemeine Daten: Modulnummer: EI7203 Modulbezeichnung (dt.): Quantum Nanoelectronics Modulbezeichnung (en.): Quantum Nanoelectronics Modulniveau: MSc Kürzel Folgesemester: Ja Wiederholung auch am Semesterende: Nein Modulbeschreibung Seite 1 von 4 #12;EI7203_Quantum

Kuehnlenz, Kolja

29

EI7135_Industrielle_Energiewirtschaft.xls Allgemeine Daten  

E-Print Network (OSTI)

EI7135_Industrielle_Energiewirtschaft.xls Allgemeine Daten: Modulnummer: EI7135 Modulbezeichnung (dt.): Industrielle Energiewirtschaft Modulbezeichnung (en.): Industrial Energy Economy Modulniveau Folgesemester: Wiederholung auch am Semesterende: Modulbeschreibung Seite 1 von 4 #12;EI7135_Industrielle_Energiewirtschaft

Kuehnlenz, Kolja

30

graph drawing  

Science Conference Proceedings (OSTI)

... Layout Program (C). Graphviz: Graph Visualization Software (C), consisting of many graph drawing programs, viewers (C, Java, and TCL/TK), etc. ...

2013-11-18T23:59:59.000Z

31

FY 2007 Operating Plan for DOE--March 16, 2007.xls | Department...  

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

Plan for DOE--March 16, 2007.xls FY 2007 Operating Plan for DOE--March 16, 2007.xls U.S Department of Energy 2007 operating plan by appropriation. FY 2007 Operating Plan for...

32

Attachment 4 Volume III Pricing Matrix for Phase-in Period.xls...  

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

Attachment 4 Volume III Pricing Matrix for Phase-in Period.xls&0; Attachment 4 Volume III Pricing Matrix for Phase-in Period.xls&0; Attachment 4 Volume III Pricing Matrix for...

33

Oil and Gas Recovery Data from the Riser Insertion Tub - XLS...  

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

XLS Oil and Gas Recovery Data from the Riser Insertion Tub - XLS Oil and Gas Recovery Data from the Riser Insertion Tube from May 17 until the Riser Insertion Tube was disconnected...

34

Oil and Gas Recovery Data from the Riser Insertion Tub - XLS...  

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

Recovery Data from the Riser Insertion Tub - XLS Oil and Gas Recovery Data from the Riser Insertion Tub - XLS Oil and Gas Recovery Data from the Riser Insertion Tube from May 17...

35

EI7203_Quantum_Nanoelectronics.xls Allgemeine Daten  

E-Print Network (OSTI)

EI7203_Quantum_Nanoelectronics.xls Allgemeine Daten: Modulnummer: EI7203 Modulbezeichnung (dt.): Quantum Nanoelectronics Modulbezeichnung (en.): Modulniveau: MSc Kürzel: Untertitel: Semesterdauer: 1 Folgesemester: Ja Wiederholung auch am Semesterende: Nein Modulbeschreibung Seite 1 von 4 #12;EI7203_Quantum

Kuehnlenz, Kolja

36

Motion graphs  

Science Conference Proceedings (OSTI)

In this paper we present a novel method for creating realistic, controllable motion. Given a corpus of motion capture data, we automatically construct a directed graph called a motion graph that encapsulates connections among the database. The ... Keywords: animation with constraints, motion capture, motion synthesis

Lucas Kovar; Michael Gleicher; Frdric Pighin

2002-07-01T23:59:59.000Z

37

grid file  

Science Conference Proceedings (OSTI)

NIST. grid file. (data structure). Definition: A point access method which splits space into a nonperiodic grid. Each spatial ...

2013-08-23T23:59:59.000Z

38

File Systems  

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

File Systems File Systems File Systems For a general description of the different file systems available on PDSF please see Eliza File Systems and Other File Systems. Below is a summary of how STAR uses the various systems: /common The STAR software is installed on /common. For 32sl44 it is under /common/star/star44 and for sl53 it is under /common/star/star53. In both cases the software consists primarily of a STAR-specific ROOT installation on which releases of the STAR libraries are built as shown on the Local STAR Libraries page. /eliza3, /eliza6, /eliza9, /eliza14, /eliza15, /eliza17 STAR has space on 6 elizas as shown in the table below. File System star space (TB) use eliza3 39 production eliza6 9 production eliza9 39 production eliza14 34 production, user space under /eliza14/star/pwg

39

File Formats  

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

Home Page Home Page File Formats MODIS Product Subsets Output Data File Format Descriptions The MODIS product subsets for North America and Worldwide are available in several formats, which are described in the following text. MODIS Land Product ASCII Data Image Data Files in ASCII Grid Format QC-Filtered Data and Statistics Generated for this Request Land Cover Data in ASCII Grid Format Statistical Data for MODIS Land Products in Comma Separated Format Underlying BRDF Parameters Used in Generating this Request (available with Albedo MOD43B and MCD43B only) MODIS Land Product ASCII Data Description of File File Content: Data as read from MODIS Land Product HDF-EOS data files. These data are the starting point for deriving the other subset data products. Data Type: As indicated by Land Product Code (e.g., MOD15A2).

40

A Metadata-Rich File System  

Science Conference Proceedings (OSTI)

Despite continual improvements in the performance and reliability of large scale file systems, the management of file system metadata has changed little in the past decade. The mismatch between the size and complexity of large scale data stores and their ability to organize and query their metadata has led to a de facto standard in which raw data is stored in traditional file systems, while related, application-specific metadata is stored in relational databases. This separation of data and metadata requires considerable effort to maintain consistency and can result in complex, slow, and inflexible system operation. To address these problems, we have developed the Quasar File System (QFS), a metadata-rich file system in which files, metadata, and file relationships are all first class objects. In contrast to hierarchical file systems and relational databases, QFS defines a graph data model composed of files and their relationships. QFS includes Quasar, an XPATH-extended query language for searching the file system. Results from our QFS prototype show the effectiveness of this approach. Compared to the defacto standard, the QFS prototype shows superior ingest performance and comparable query performance on user metadata-intensive operations and superior performance on normal file metadata operations.

Ames, S; Gokhale, M B; Maltzahn, C

2009-01-07T23:59:59.000Z

Note: This page contains sample records for the topic "xls files graphs" 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

EI7153_Praktikum_Simulation_and_Characterization_of_Molecular_Devices.xls Allgemeine Daten  

E-Print Network (OSTI)

EI7153_Praktikum_Simulation_and_Characterization_of_Molecular_Devices.xls Allgemeine Daten: Modulnummer: EI7153 Modulbezeichnung (dt.): Praktikum Simulation and Characterization of Molecular Devices Modulbezeichnung (en.): Praktikum Simulation and Characterization of Molecular Devices Modulniveau: MSc Kürzel

Kuehnlenz, Kolja

42

EI7154_Projektpraktikum_Design_of_Molecular_Circuits.xls Allgemeine Daten  

E-Print Network (OSTI)

EI7154_Projektpraktikum_Design_of_Molecular_Circuits.xls Allgemeine Daten: Modulnummer: EI7154 Modulbezeichnung (dt.): Projektpraktikum Design of Molecular Circuits Modulbezeichnung (en.): Projektpraktikum Design of Molecular Circuits Modulniveau: MSc Kürzel: Untertitel: Semesterdauer: 1 Semester Häufigkeit

Kuehnlenz, Kolja

43

Data Files Monthly Natural Gas Gross Production Report  

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

XLS 4 Other Sources: Comparisons between EIA-914 estimates and other sources, Bcfd XLS 5 EIA-914 Response Rates: Production Weighted Response Rates by Area by Month, percent XLS...

44

IFC File Analyzer  

Science Conference Proceedings (OSTI)

... The IFC File Analyzer generates a spreadsheet from an IFC file. ... In the spreadsheet, a worksheet is created for each type of IFC entity in the file. ...

2013-08-12T23:59:59.000Z

45

PDSF Utilization Graphs  

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

Graphs Graphs Utilization Graphs This page contains a series of graphs that use data from the PDSF batch scheduler (SGE) to show the utilization of the cluster over the past 24 hours. The graphs were generated with RRDTool and are updated approximately every 15 minutes. This graph shows the aggregate cluster CPU availablity and usage according to sgeload: 24 hour rolling usage graph (click to see long term averages) This graph shows the number of jobs being run by each group: Rolling 24 Running Jobs by Group (click to see long term averages) This is the same graph as above weighted by the clockspeed (GHz) of the node used for the job: Rolling 24 Running Jobs by Group (click to see long term averages) This graph show the number of pending jobs by group: Rolling 24 Pending Jobs

46

TO: FILE  

Office of Legacy Management (LM)

TO: FILE TO: FILE FROM: ~~~r&m--- SUBJECT: MEMORANDUM DATE +!~&j!?~ _______ SITE NAME: CITY: -,&a o~-,--,-,--,-_-,sT~TE:-~A- P OWNER(S) --~=c-L&& ----- -------- Cu-rc"t: B_eh& --------------_- Owner contacted 0 yes 0 no; if yes, dete contacted ------------- TYPE OF OPERATION ----------------- 0 Research & Development 6 0 Production scale testing Pilot Scale 0 Bench Scale Process 0 Theoretical Studies 0 Sample 84 Analysis Y Facility Type Bi Manufacturing University 0 Research Organization 0 0 Government Sponsored Facility 0 Other --------------------- 0 Production 0 Disposal/Storage TYPE OF CONTRACT -------------w-w 0 Prime 0 Subcontract&r 6 Purchase Order cl Other information (i.e., cost + fixed fee, unit price, time & material, etc) ___

47

TO: FILE  

Office of Legacy Management (LM)

TO: FILE TO: FILE D iev' c FROM: ---L----l!!--- MEMORANDUM k+=+ 7 DATE--- _-- ----_---- past: ---------- - -- .---1---------. &4 k WOdY Curr="t:----------------------- Owner contacted ,es *no; ' 0, -if yes, date contacted TYPE OF OPERATION ----------------- p Research & Dews1 opment q Production scale testing 0 Pilot Scale q Sample 84 Analysis B Production q Facility Type 0 Hanufacturinq 0 University 0 Research Organization c] Government Sponsored Facility q Other --------------------- ' IvP!LoE-c!EI~ncI fl Prime 0 Subcontractor 0 Purchase Order !B Other information (i.e., cost + fixed fee, unit price, PIEWUED FIEWMED GOVT GOVT CONTRACTOR CONTRRCTOR OWE!! LEASE_D O!!!NH LE_ASEE OWNED ---------- ~-~LE!3_SEI! % LANDS i u 0 BUILDINGS EQUIPMENT

48

Graph sketcher: extending illustration to quantitative graphs  

Science Conference Proceedings (OSTI)

Scientists, engineers, and educators commonly need to make graphs that quickly illustrate quantitative ideas yet are not based on specific data sets. We call these graphs quantitative concept diagrams (QCDs). Existing charting and illustration programs ... Keywords: charting, constraint-based layout, illustration, information visualization, planar map coloring, quantitative concept diagrams, snap-dragging

Robin Stewart; m.c. schraefel

2009-04-01T23:59:59.000Z

49

FFATA sub reporting data model_draft_100715.xls  

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

Requirements for FFATA Implementation - Data Model Requirements for FFATA Implementation - Data Model # GRANTS ELEMENT NAME GRANTS DEFINITION Sub-field (if applicable) Required (Y/N) Field Type Data Source: Primary Data Source: Secondary Awardee can flag for correction if derived from FAADS+ (Y/N) Notes to Federal agencies Note: This column will be removed after the agency comment period and will not appear in the final. 1 Federal Award Identifier Number (FAIN) The award number or other identifying number assigned by the Federal awarding agency, such as the federal grant number. Y Pre-populated Agency FAADS+ file N FAADS+ element name, FR.gov definition; no change to FAADS+ files required. 2 State Application Identifier (SAI) The state-assigned number for programs subject to state review in

50

TO: FILE  

Office of Legacy Management (LM)

if' if' /, SO -1 : . . ' - ,? \\?.. . . ..- ,- I, al. I, .I (. ,g \. ' \ ,, " ' tlEMOHANDUM TO: FILE FROH: (?.)-/ki' + SITE ALTERNATE ---..~..~.~, NAME: ;d QJA I. /O", JL Ir,, e> 1 :' - _____ ---_--- ---+w- __________ -Nan= __- _____ - _________ Owner cork&ted I-J yes [Bno; If yes, data con'tacted _----__-_ TYPE OF OPERATION ---~~~~~---~~--__ a Research & Development 11 Facility Type 0 Production scale testing 0 Pilot Scale 3 Bench Scale Process Theoretical Studies cl Sample 81 finalysis !-J e4nufacturing 0 University q Research Organization IJ Government Sponsored Facil it) 0 Other ------------_ 0 Production 0 Disposal /Storage TYPE OF CONTRCICT -_-~~~~----~-~-- ,& Prime [II Subcontractor 0 Purchase Order 0 Other information (i.e., ~7,s:

51

TO: FILE  

Office of Legacy Management (LM)

, , TO: FILE ---w-o----- SUBJECT: 1 CITY: STATE: fld -------------------------- OWNER(S) -------_ Past: _----------------------- curr,ent : --------------------______ Owner cnntakted 0 yes RI-IO; if yes, date contacted----- ~TYPE OF OPERATION .: ,. 0. Research & Development n Facility Type 0 Production scale testing 0 Pilot Scale 0 Manufacturing 0 Ben&i Scale Process 0 University 0 Theoretical Studies IJ Research Organizatian a 0 Government Sample & Analysis .' 0 Production 0. Disposal f Storage a Prime 0 Subcnntract& 0 Purchase Order cl Other inf brmation (i . e., cast + fixed fee, unit price, time & material, qtc) --_---- ~----~---~~~----_-----~~---~ Ccntract/Purch&se Order t). ~--~-~---~~~----_------~---- ---------------------------------

52

TO: FILE  

Office of Legacy Management (LM)

tlEtlORANDUtl tlEtlORANDUtl TO: FILE 311% /1 DATE-----------~------- FROM: P. %a- w-----------_____ SUBJECT: F,/;-;d&;- /3ec+.e I SITE ALTERNATE NAME: --~~~-~-;,.--_~~~~-~-------------NAHE:----------------- _____ CITY: -!%!2~-&&-~- _______ STATE: s.-c&- OWNER(S) _--_--__ Past: ------------------------ Current: I Owner contacted 0 yes --_--~~~--~~~~--~_~--~~-~~ 0 no; if ye., date contacted 1 I TYPE OF OPERATION ---------------__ q Research & Development 0 Production scale testing a Pilot scale 0 Bench Scale Process 0" Theoretical Studies Sample b Analysis 0 Production 0 Disposal/Storage @- Facility Type 0 Government Sponsored Facility W Clther --_Lp2+k-4;- --------------- TYPE OF CONTRACT -_------------__ a Prime 0 Subcontract&

53

Design and Implementation of a Metadata-rich File System  

Science Conference Proceedings (OSTI)

Despite continual improvements in the performance and reliability of large scale file systems, the management of user-defined file system metadata has changed little in the past decade. The mismatch between the size and complexity of large scale data stores and their ability to organize and query their metadata has led to a de facto standard in which raw data is stored in traditional file systems, while related, application-specific metadata is stored in relational databases. This separation of data and semantic metadata requires considerable effort to maintain consistency and can result in complex, slow, and inflexible system operation. To address these problems, we have developed the Quasar File System (QFS), a metadata-rich file system in which files, user-defined attributes, and file relationships are all first class objects. In contrast to hierarchical file systems and relational databases, QFS defines a graph data model composed of files and their relationships. QFS incorporates Quasar, an XPATH-extended query language for searching the file system. Results from our QFS prototype show the effectiveness of this approach. Compared to the de facto standard, the QFS prototype shows superior ingest performance and comparable query performance on user metadata-intensive operations and superior performance on normal file metadata operations.

Ames, S; Gokhale, M B; Maltzahn, C

2010-01-19T23:59:59.000Z

54

Learning Graph Matching  

E-Print Network (OSTI)

As a fundamental problem in pattern recognition, graph matching has applications in a variety of fields, from computer vision to computational biology. In graph matching, patterns are modeled as graphs and pattern recognition amounts to finding a correspondence between the nodes of different graphs. Many formulations of this problem can be cast in general as a quadratic assignment problem, where a linear term in the objective function encodes node compatibility and a quadratic term encodes edge compatibility. The main research focus in this theme is about designing efficient algorithms for approximately solving the quadratic assignment problem, since it is NP-hard. In this paper we turn our attention to a different question: how to estimate compatibility functions such that the solution of the resulting graph matching problem best matches the expected solution that a human would manually provide. We present a method for learning graph matching: the training examples are pairs of graphs and the `labels' are ma...

Caetano, Tiberio S; Cheng, Li; Le, Quoc V; Smola, Alex J

2008-01-01T23:59:59.000Z

55

Almost self-centered graphs  

E-Print Network (OSTI)

The center of a graph is the set of vertices with minimum eccentricity. Graphs in which all vertices are central are called self-centered graphs. In this paper almost self-centered (ASC) graphs are introduced as the graphs with exactly two non-central vertices. The block structure of these graphs is described and constructions for generating such graphs are proposed. Embeddings of arbitrary graphs into ASC graphs are studied. In particular it is shown that any graph can be embedded into an ASC graph of prescribed radius. Embeddings into ASC graphs of radius two are studied in more detail. Embedding index of a graph G is introduced as the smallest number of vertices needed to add to G such that G is an induced subgraph of an ASC graph.

Sandi Klavzar; et al.

2009-01-01T23:59:59.000Z

56

Claw-free graphs and line graphs.  

E-Print Network (OSTI)

??The research of my dissertation is motivated by the conjecture ofThomassen that every 4-connected line graph is hamiltonian and by the conjecture ofTutte that every (more)

Shao, Yehong, 1976-

2005-01-01T23:59:59.000Z

57

Data & File Systems  

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

Data Management Policies NERSC File Systems HPSS Data Archive Optimizing IO performance on the Lustre file system IO Formats Sharing Data Transferring Data Unix Groups at NERSC...

58

Euclid File Systems  

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

Request Form Euclid File Systems Euclid has 3 kinds of file systems available to users: home directories, scratch directories and project directories, all provided by the NERSC...

59

FILE MANAGEMENT MANUAL  

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

6.5.2 (ZAP BAD POINTERS) : Appendices :1 Glossary of Important File-Management Terms :29 SPIRES Documentation * SPIRES File Management ***...

60

To: File  

Office of Legacy Management (LM)

iU i.1 ' iU i.1 ' i d1m1 To: File Fl-0lll: a. Wall0 Subject: FUSRAP review of the former Internationai Rare Metals site in Mt. Kisco New York. The former International Rare Metals Refinery in Mt. Eisco, NY began operations in the early 1940's. Throughout its operatic and in various correspondence it has also been known as "Pregs Mt. Ki sco Refinery" and most,recently, the Canadian Radium and Uranium Corporation site; During the Manhattan Engineer District (MED) era, the federal government through the MED, purchased uranium froni foreign sources, African ores and Canadian ores. The largest part of uranium in the early years were derived from the African ores. The contracts were only for the uranium in these ores. The agreements provided that all of the other valuable elements in

Note: This page contains sample records for the topic "xls files graphs" 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

TO: FILE  

Office of Legacy Management (LM)

nEnoRANDUn nEnoRANDUn TO: FILE FR0f.t: ~L!S&km. ALTERNATE ---- -COME: ______ --~Z __________ I_v!E-!2E~_oEEeIIE!! p Research & Development 4 beq I I;om +obiylg 0 Production scale testing 0 Pilot Scale 0 ' Bench Scale Process i Theoretical Studies Sample & Analysis 0 Productiart Cl Disposal/Storage a Facility Type 0 Manufacturing 0 University 0 Research Organization 0 Government Sponsored Facility a Other --------------__----_ 0 VI Chic430 Other information (i.e., cost + fixed fee, unit price, time & material, etc) ------- Contract/R I) 7fo,-37+8 ----- ----- ------ ----- ________- __________-______--____ _C!?!!E3~_C12!E-E!!GE: -___~~~~~~-~---~~~~~~-~---- -__- -__ OWNERSHIP: AEC/UED AEC/UED GOVT GOUT co~TiacT0~ ~CONTRACTOR OWNEE LECISE_D EJE!2

62

TO: FILE  

Office of Legacy Management (LM)

pA.l4-l-j pA.l4-l-j TO: FILE I 4 MENORANDUM SUBJECT: aLwE?. .v --_---__ Past: Current: ----__-_____-----------~ -------------------_------ owner c:3ntacted q yes pm; if yes, date contacted ----------__- TYPE OF OPERATION ---_--__~~------_ 0 Research & Development 0 Production scale testing 0 Pilot 5cale 0 Bench Scale Process i Thearetical Studies Sample & Analysis 0 Producti on E Disposal/Storage Facility Type 0 Manufacturing 0 Uni verri ty 0 Research Organization 0 Government Sponsored Facility Cl Other &by-& e- -------- TYPE OF CONTRACT ~--_---_~_-----_ 0 Prime G Subcontractor *! Put-c!wse Order 0 Other information (i.e., cost + fixed fee, unit price, time & material, qtr) m--m--- -----------------_-------~~~ Contract/Purchase Order #

63

TO: FILE  

Office of Legacy Management (LM)

' -1 1. ' -1 1. : . . , . . . "a7 MEMLlRANlJUtl TO: FILE FROM= -&k-k!!L-- l Owner-&ntacted 17 yes Current: ----- ---------- --__ -- -____ I If yes, data contacted ------------- TYPE OF OPERATION -------------____ IJ Research & Development cl Facility Type 0 Production scale testing Cl Pilot Scale a Bench Scale PrOCess 0 Theoretical Studies 0 Sample & Analysis Production 0 Disposal/Storage a Manuf actuiing , q University 0 Research Organizatian / IJ Government Sponsored Facility 0 Other I -------------------- 0 Prime 0 Subcantractk 0 Purchase Order 0 Other information (i.e., iost + fixed fee, unit price, , time & material, .$z) --e-L-- LL---------------------i---- Co"+act/Purchase Order # CONTRACTING PERIOD: __---------------- ----L'r'oll---- --------_-- ____________

64

directed acyclic word graph  

Science Conference Proceedings (OSTI)

... and R. Verin, Direct Construction of Compact Directed Acyclic Word Graphs, 8th Annual Symposium, CPM 97, Aarhus, Denmark, 116-129, 1997. ...

2013-08-23T23:59:59.000Z

65

Final_Tech_Session_Schedule_and_Location.xls  

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

Risk Assessment Issues Risk Assessment Issues HSE Screening Risk Assessment (SRA) for Geologic CO 2 Sequestration file#96 Curtis M. Oldenburg May 2-5, 2005, Hilton Alexandria Mark Center, Alexandria Virginia HSE Screening Risk Assessment (SRA) for Geologic CO 2 Sequestration Curtis M. Oldenburg Earth Sciences Division Fourth Annual Conference on Carbon Capture & Sequestration Alexandria, VA May 2-5, 2005 CO 2 Leakage Risk Motivates SRA Question to be addressed: From a choice of several potential sites, which site has the lowest Health, Safety, and Environmental (HSE) risk? Introduction Geologic Carbon Sequestration Screening HSE Risk Assessment Version 0.9 9/24/2004 C.M. Oldenburg (LBNL) We have developed a Screening Risk Assessment (SRA) tool for Health, Safety, and Environmental (HSE) risk assessment.

66

Slicibility of rectangular graphs and floorplan optimization  

Science Conference Proceedings (OSTI)

Keywords: floorplanning, graph dualization, heuristic search, nonslicible floorplans, planar graphs, slicible floorplans, very large scale integration

Partha S. Dasgupta; Susmita Sur-Kolay

1997-04-01T23:59:59.000Z

67

CENTRAL FILES  

Office of Legacy Management (LM)

/ .- / .- ~ _. ,- *-.* . . CENTRAL FILES +, a/ o(-t.z2-5 AlLO 1 Pab-FJr 3. 19% TYtxP REPaT To A&7bA cM.m rlmc)HA~ ON JANtJm 23, 1956 f. A. W~~~+Y, M.D. c. 1. 08huRann 8nd J. A. Hlaeririg ob3e8tilw of Trlpr in @ ttd~, (;rulw 2?), 1956, a ttip na nda to UM Crrrit &abw8tury, cword, Ohio. The purpow o? this trip u&a to aondwt the WMnd ti 8 #etia8 of indUrtF%al mgiene run~yr uhiah hre been Thwr8port ia 8 66mpondzLusofthe Amu4ll;rmtr forth&, rtsnyu@raaaderith~.~~M Alb8ugh, emamrud~~roft&~b8 Cnft UbOP&tOraJ'. Duaar&ptian of Trtpr The m88h&nlng oper8t1oM 8t the Alba ah6p lmm UlrrWarf tho# sf&&8mBthrrbrsrtbiefint~~#rru&. r%vo tUX!'lWt %&t&88, m (1) M8hb8 UthM, iOUr 4 th 5) urbthPW(3)dF%ll pSW888SUW8 ba-8

68

NERSC File Systems  

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

Systems Systems NERSC File Systems Overview NERSC file systems can be divided into two categories: local and global. Local file systems are only accessible on a single platform, providing best performance; global file systems are accessible on multiple platforms, simplifying data sharing between platforms. File systems are configured for different purposes. On each machine you have access to at least three different file system Home: Permanent, relatively small storage for data like source code, shell scripts, etc. that you want to keep. This file system is not tuned for high performance from parallel jobs. Referenced by the environment variable $HOME. Scratch: Large, high-performance file system. Place your large data files in this file system for capacity and capability computing. Data is

69

Undirected Graphs maze exploration  

E-Print Network (OSTI)

and Adar, 2004 corporate e-mail #12;5 Power transmission grid of Western US Reference: Duncan Watts #12 The Internet as mapped by The Opte Project http://www.opte.org #12;8 Graph terminology #12;9 Some graph

Sedgewick, Robert

70

Detachments of Complete Graphs  

Science Conference Proceedings (OSTI)

A detachment of a graph $G$ is formed by splitting each vertex into one or more subvertices, and sharing the incident edges arbitrarily among the subvertices. In this paper we consider the question of whether a graph $H$ is a detachment of some complete ...

Keith Edwards

2005-05-01T23:59:59.000Z

71

A Semantic Graph Query Language  

Science Conference Proceedings (OSTI)

Semantic graphs can be used to organize large amounts of information from a number of sources into one unified structure. A semantic query language provides a foundation for extracting information from the semantic graph. The graph query language described here provides a simple, powerful method for querying semantic graphs.

Kaplan, I L

2006-10-16T23:59:59.000Z

72

Large File System Backup: NERSC Global File System Experience  

E-Print Network (OSTI)

Large File System Backup NERSC Global File System ExperienceNational Laboratory Abstract NERSCs Global File system (from all compute systems at NERSC, holds files and data from

Mokhtarani, Akbar

2008-01-01T23:59:59.000Z

73

Dirac File Systems  

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

http:help.nersc.gov consult@nersc.gov 1-800-66-NERSC, option 3 or 510-486-8611 Home For Users Computational Systems Dirac File storage File Storage Disk Quota...

74

CSV File Documentation: Consumption  

Gasoline and Diesel Fuel Update (EIA)

Consumption Consumption The State Energy Data System (SEDS) comma-separated value (CSV) files contain consumption estimates shown in the tables located on the SEDS website. There are four files that contain estimates for all states and years. Consumption in Physical Units contains the consumption estimates in physical units for all states; Consumption in Btu contains the consumption estimates in billion British thermal units (Btu) for all states. There are two data files for thermal conversion factors: the CSV file contains all of the conversion factors used to convert data between physical units and Btu for all states and the United States, and the Excel file shows the state-level conversion factors for coal and natural gas in six Excel spreadsheets. Zip files are also available for the large data files. In addition, there is a CSV file for each state, named

75

Crawling Online Social Graphs  

E-Print Network (OSTI)

Unbiased sampling of facebook, 2009. [9] A. Korolova, R.these users. For example, Facebook was ranked as the 4thsample (1M node) of the Facebook graph. The basic idea is

Ye, Shaozhi; Lang, Juan; Wu, S F

2010-01-01T23:59:59.000Z

76

Standard interface file handbook  

SciTech Connect

This handbook documents many of the standard interface file formats that have been adopted by the US Department of Energy to facilitate communications between and portability of, various large reactor physics and radiation transport software packages. The emphasis is on those files needed for use of the VENTURE/PC diffusion-depletion code system. File structures, contents and some practical advice on use of the various files are provided.

Shapiro, A.; Huria, H.C. (Cincinnati Univ., OH (United States))

1992-10-01T23:59:59.000Z

77

Towards graph containment search and indexing  

Science Conference Proceedings (OSTI)

Given a set of model graphs D and a query graph q, containment search aims to find all model graphs g ? D such that q contains g (q ? g). Due to the wide adoption of graph models, fast containment search ...

Chen Chen; Xifeng Yan; Philip S. Yu; Jiawei Han; Dong-Qing Zhang; Xiaohui Gu

2007-09-01T23:59:59.000Z

78

Algorithms for string and graph layout  

E-Print Network (OSTI)

Many graph optimization problems can be viewed as graph layout problems. A layout of a graph is a geometric arrangement of the vertices subject to given constraints. For example, the vertices of a graph can be arranged on ...

Newman, Alantha.

2004-01-01T23:59:59.000Z

79

Graph Transformations in Relational Databases  

E-Print Network (OSTI)

The theory of graph transformation [2] was originally developed as a generalization of Chomsky grammars from strings to graphs. Methods, techniques, and tools from the area of graph transformations have already been studied and applied in many fields of computer science such as formal language theory, pattern recognition and generation, compiler construction, software engineering, etc. Despite the large variety of existing graph transformation tools, the implementation of their graph transformation engine typically follows the same principle. In this respect, first a matching occurrence of the left-hand side (LHS) of the graph transformation rule is being found by some sophisticated graph pattern matching algorithm. Then the engine performs some local modifications to add or remove graph elements to the matching pattern, and the entire process starts all over again. Since graph pattern matching leads to the subgraph isomorphism problem that is known to be NPcomplete in general, this step is considered to be the most crucial in the overall performance of a graph transformation engine. Current tools (e.g., PROGRES [4]) use different efficient strategies for the graph pattern matching phase. However, I argue that the overall complexity of a graph transformation engine is not necessarily equal to the complexity of the graph pattern matching phase, especially for long transformation sequences.

Gergely Varr

2004-01-01T23:59:59.000Z

80

1999 CBECS Public Use Files  

Gasoline and Diesel Fuel Update (EIA)

1999 Commercial Buildings Energy Consumption Survey Detailed Tables. If you need assistance viewing this page, please contact 202-586-8800. Energy Information Administration Home Page 1999 Commercial Buildings Energy Consumption Survey Detailed Tables. If you need assistance viewing this page, please contact 202-586-8800. Energy Information Administration Home Page Home > Commercial Buildings Home > CBECS Public Use Data > 1999 Files Updated: October 2002 DATA: How are these files used? Download all format codes (text file, 9 Kb) Download all layout files and format codes (PDF file, 373 Kb) Note: The following are all text files. Layout files range from 3 to 6 KB; data files range from 488 Kb to 1.16 MB. File 1: General Building Information and Energy End Uses (Last modified 10/1/01) Layout File Data File File 2: Building Activities, Special Measures of Size, and Multibuilding Facilities (Last modified 10/1/01) Layout File Data File

Note: This page contains sample records for the topic "xls files graphs" 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

File:Keystone.pdf | Open Energy Information  

Open Energy Info (EERE)

File Edit History Facebook icon Twitter icon File:Keystone.pdf Jump to: navigation, search File File history File usage File:Keystone.pdf Size of this preview: 463 599...

82

Linking SARAH and MadGraph using the UFO format  

E-Print Network (OSTI)

SARAH is a Mathematica package optimized for the fast, efficient and precise study of supersymmetric models beyond the MSSM: a new model can be defined in a short form and all vertices are derived. This allows SARAH to create model files for FeynArts/FormCalc, CalcHep/CompHep and WHIZARD/OMEGA. The newest version of SARAH now provides the possibility to create model files in the UFO format which is supported by MadGraph 5, MadAnalysis 5, GoSam, and soon by Herwig++. Furthermore, SARAH also calculates the mass matrices, RGEs and 1-loop corrections to the mass spectrum. This information is used to write source code for SPheno in order to create a precision spectrum generator for the given model. This spectrum-generator-generator functionality as well as the output of WHIZARD and CalcHep model files have seen further improvement in this version.

Staub, Florian

2012-01-01T23:59:59.000Z

83

Taxonomy-superimposed graph mining  

Science Conference Proceedings (OSTI)

New graph structures where node labels are members of hierarchically organized ontologies or taxonomies have become commonplace in different domains, e.g., life sciences. It is a challenging task to mine for frequent patterns in this new graph model ...

Ali Cakmak; Gultekin Ozsoyoglu

2008-03-01T23:59:59.000Z

84

Analysis of multilevel graph partitioning  

Science Conference Proceedings (OSTI)

Recently, a number of researchers have investigated a class of algorithms that are based on multilevel graph partitioning that have moderate computational complexity, and provide excellent graph partitions. However, there exists little theoretical analysis ...

George Karypis; Vipin Kumar

1995-12-01T23:59:59.000Z

85

Graph theoretic approach to parallel gene assembly  

Science Conference Proceedings (OSTI)

We study parallel complexity of signed graphs motivated by the highly complex genetic recombination processes in ciliates. The molecular gene assembly operations have been modeled by operations of signed graphs, i.e., graphs where the vertices have a ... Keywords: Double-split graphs, Gene assembly, Local complement, Parallel assembly, Perfect matching, Signed graphs, Split graphs

Tero Harju; Chang Li; Ion Petre

2008-11-01T23:59:59.000Z

86

Temporal Representation in Semantic Graphs  

Science Conference Proceedings (OSTI)

A wide range of knowledge discovery and analysis applications, ranging from business to biological, make use of semantic graphs when modeling relationships and concepts. Most of the semantic graphs used in these applications are assumed to be static pieces of information, meaning temporal evolution of concepts and relationships are not taken into account. Guided by the need for more advanced semantic graph queries involving temporal concepts, this paper surveys the existing work involving temporal representations in semantic graphs.

Levandoski, J J; Abdulla, G M

2007-08-07T23:59:59.000Z

87

PDSF's Eliza File Systems  

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

Eliza File Systems Eliza File Systems Eliza File Systems Storage at PDSF is organized by group and all partitions are exported to all the nodes in the cluster. Please note that files on these file systems are not backed up. It is the responsibility of users to back up their files themselves as necessary. Over the years at PDSF there have been incidents which resulted in a loss of data from disk, often related to aging hardware. Note that the way to display the SGE io units on the command line is "qconf -se global". Disk Vault Experiments SGE io units Disk Space (TB) Directories eliza1 Atlas 400 35 atlas eliza2 Atlas 200 35 atlas eliza5 Cuore, Kamland 400 34 cuore kamland eliza6 Alice, RNC, Star 400 34 alice rnc star eliza7 Dayabay 200 24 dayabay icecube

88

Errors in graph embedding algorithms  

Science Conference Proceedings (OSTI)

One major area of difficulty in developing an algorithm for embedding a graph on a surface is handling bridges which have more than one possible placement. This paper addresses a number of published algorithms where this has not been handled correctly. ... Keywords: Algorithm, Graph embedding, Graph genus, Torus

Wendy Myrvold; William Kocay

2011-03-01T23:59:59.000Z

89

Extremal graphs without 4-cycles  

Science Conference Proceedings (OSTI)

We prove an upper bound for the number of edges a C"4-free graph on q^2+q vertices can contain for q even. This upper bound is achieved whenever there is an orthogonal polarity graph of a plane of even order q. Keywords: Extremal graph, Polarity, Projective plane

Frank A. Firke, Peter M. Kosek, Evan D. Nash, Jason Williford

2013-05-01T23:59:59.000Z

90

Power domination in block graphs  

Science Conference Proceedings (OSTI)

The problem of monitoring an electric power system by placing as few measurement devices in the system as possible is closely related to the well-known domination problem in graphs. In 2002, Haynes et al. considered the graph theoretical representation ... Keywords: algorithm, block graphs, electric power system, power dominating set

Guangjun Xu; Liying Kang; Erfang Shan; Min Zhao

2006-08-01T23:59:59.000Z

91

STEP File Analyzer  

Science Conference Proceedings (OSTI)

... The STEP File Analyzer is a software tool that generates a spreadsheet from a STEP (ISO 10303 STandard for Exchange of Product model data ...

2013-08-06T23:59:59.000Z

92

Quantum chaos on discrete graphs  

E-Print Network (OSTI)

Adapting a method developed for the study of quantum chaos on {\\it quantum (metric)} graphs \\cite {KS}, spectral $\\zeta$ functions and trace formulae for {\\it discrete} Laplacians on graphs are derived. This is achieved by expressing the spectral secular equation in terms of the periodic orbits of the graph, and obtaining functions which belongs to the class of $\\zeta$ functions proposed originally by Ihara \\cite {Ihara}, and expanded by subsequent authors \\cite {Stark,Sunada}. Finally, a model of "classical dynamics" on the discrete graph is proposed. It is analogous to the corresponding classical dynamics derived for quantum graphs \\cite {KS}.

Uzy Smilansky

2007-04-26T23:59:59.000Z

93

Graph Homomorphisms for Quantum Players  

E-Print Network (OSTI)

A homomorphism from a graph X to a graph Y is an adjacency preserving mapping f:V(X)->V(Y). We consider a nonlocal game in which Alice and Bob are trying to convince a verifier with certainty that a graph X admits a homomorphism to Y. This is a generalization of the well-studied graph coloring game. Via systematic study of quantum homomorphisms we prove new results for graph coloring. Most importantly, we show that the Lovasz theta number of the complement lower bounds the quantum chromatic number, which itself is not known to be computable. We also show that other quantum graph parameters, such as quantum independence number, can differ from their classical counterparts. Finally, we show that quantum homomorphisms closely relate to zero-error channel capacity. In particular, we use quantum homomorphisms to construct graphs for which entanglement-assistance increases their one-shot zero-error capacity.

David E. Roberson; Laura Mancinska

2012-12-07T23:59:59.000Z

94

Annual Energy Review - Energy Information Administration  

U.S. Energy Information Administration (EIA)

3.2 Value of Fossil Fuel Production, 1949 PDF XLS GRAPH: 3.3 Consumer Price Estimates for Energy by Source, 1970 PDF XLS GRAPH:

95

File list | Open Energy Information  

Open Energy Info (EERE)

16 April 2013 Geothermal Cooling Towers.jpg (file) 690 KB Kyoung 1 11:01, 16 April 2013 Turbine.jpg (file) 530 KB Kyoung 1 23:27, 15 April 2013 Energy 101 GHP Video.png (file)...

96

----Google File System Windows IT  

E-Print Network (OSTI)

Essential ---- Google File System web Windows IT Google IT Google Google File System Google File System Datebase Google Google " " Goolge Goolge Google Google Goolge Google ()(,) Google ...... Google IT Google Google Google Google Google "Google " Google 10

97

Ion shaking in the 200 MeV XLS-ring  

Science Conference Proceedings (OSTI)

It has been shown that ions, trapped inside the beam`s potential, can be removed by the clearing electrodes when the amplitude of the ion oscillation is increased by vertically shaking the ions. We will report on a similar experiment in the 200 Mev XLS ring. The design of the ion clearing system for the ring and the first results obtained, were already reported. In the present series of experiments, RF voltage was applied on a pair of vertical strip-lines. The frequency was scanned in the range of the ion (from H{sub 2} to CO{sub 2}) bounce frequencies in the ring (1--10 MHz). The response of the beam size, vertical betatron tune and lifetime was studied.

Bozoki, E.; Kramer, S.L.

1992-12-31T23:59:59.000Z

98

Ion shaking in the 200 MeV XLS-ring  

Science Conference Proceedings (OSTI)

It has been shown that ions, trapped inside the beam's potential, can be removed by the clearing electrodes when the amplitude of the ion oscillation is increased by vertically shaking the ions. We will report on a similar experiment in the 200 Mev XLS ring. The design of the ion clearing system for the ring and the first results obtained, were already reported. In the present series of experiments, RF voltage was applied on a pair of vertical strip-lines. The frequency was scanned in the range of the ion (from H[sub 2] to CO[sub 2]) bounce frequencies in the ring (1--10 MHz). The response of the beam size, vertical betatron tune and lifetime was studied.

Bozoki, E.; Kramer, S.L.

1992-01-01T23:59:59.000Z

99

Games on Graphs  

E-Print Network (OSTI)

We introduce and study Maker-Breaker positional games on random graphs. Our goal is to determine the threshold probability pF for the existence of Maker's strategy to claim a member of F in the unbiased (one-on-one) game played on the edges of the random graph G(n; p), for various target families F of winning sets. More generally, for each probability above this threshold we study the smallest bias b such that Maker wins the (1: b) biased game. We investigate these functions for a number of basic games, like the connectivity game, the perfect matching game, the clique game, the Hamiltonian cycle game and the tree game. Particular attention is devoted to unbiased games, when b = 1. Next, we consider the planarity game and the k-coloring game on the complete graph on n vertices. In the planarity game the winning sets are all non-planar subgraphs, and in the k-coloring game the winning sets are all non-k-colorable subgraphs. For both of the games we look at a (1: b) biased game. We are interested in determining the largest bias b such that Maker wins the Maker-Breaker version of the game. On the other hand, we want to find the largest bias b such that Forcer wins the Avoider-Forcer version of the game. Finally, we deal with balanced online games on the random graph process. The game is played by a player called Painter. Edges in the random graph process are introduced two at a time. For each pair of edges Painter immediately and irrevocably chooses one of the two possibilities to color one of them red and the other one blue. His goal is to avoid creating a monochromatic copy of a prescribed fixed graph H, for as long as possible. We study the threshold mH for the number of edges to be played to know that Painter almost surely will create a monochromatic copy of H, for H being a cycle, a path and a star.

Milos Stojakovic

2005-01-01T23:59:59.000Z

100

Printer-Friendly Handbook Files  

Science Conference Proceedings (OSTI)

... Printer-Friendly Handbook Files. ... Please note that these pdf files are not updated as frequently as the html versions of the e-Handbook are. ...

2013-11-26T23:59:59.000Z

Note: This page contains sample records for the topic "xls files graphs" 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

Distributed large-scale natural graph factorization  

Science Conference Proceedings (OSTI)

Natural graphs, such as social networks, email graphs, or instant messaging patterns, have become pervasive through the internet. These graphs are massive, often containing hundreds of millions of nodes and billions of edges. While some theoretical models ... Keywords: asynchronous algorithms, distributed optimization, graph algorithms, graph factorization, large-scale machine learning, matrix factorization

Amr Ahmed, Nino Shervashidze, Shravan Narayanamurthy, Vanja Josifovski, Alexander J. Smola

2013-05-01T23:59:59.000Z

102

On crossing numbers of geometric proximity graphs  

Science Conference Proceedings (OSTI)

Let P be a set of n points in the plane. A geometric proximity graph on P is a graph where two points are connected by a straight-line segment if they satisfy some prescribed proximity rule. We consider four classes of higher order proximity graphs, ... Keywords: Crossing number, Geometric graphs, Proximity graphs

Bernardo M. brego; Ruy Fabila-Monroy; Silvia Fernndez-Merchant; David Flores-Pealoza; Ferran Hurtado; Vera Sacristn; Maria Saumell

2011-05-01T23:59:59.000Z

103

A history of graph entropy measures  

Science Conference Proceedings (OSTI)

This survey seeks to describe methods for measuring the entropy of graphs and to demonstrate the wide applicability of entropy measures. Setting the scene with a review of classical measures for determining the structural information content of graphs, ... Keywords: Entropy, Graph complexity, Graph entropy, Graphs, Information inequalities, Information measures, Information theory, Structural complexity

Matthias Dehmer; Abbe Mowshowitz

2011-01-01T23:59:59.000Z

104

A graph theoretic approach to ultrafast information distribution: Borel Cayley graph resizing algorithm  

Science Conference Proceedings (OSTI)

A graph theoretic approach is proposed to formulate communication graphs that enable ultrafast information distribution. In our earlier work, we reported that Borel Cayley graph (BCG) is a promising candidate as a logical topology for fast information ... Keywords: Borel Cayley graph, Cayley graph, Graph theory, Interconnection networks, Network modeling

Jaewook Yu; Eric Noel; K. Wendy Tang

2010-11-01T23:59:59.000Z

105

Clustering based on a near neighbor graph and a grid cell graph  

Science Conference Proceedings (OSTI)

This paper presents two novel graph-clustering algorithms, Clustering based on a Near Neighbor Graph (CNNG) and Clustering based on a Grid Cell Graph (CGCG). CNNG algorithm inspired by the idea of near neighbors is an improved graph-clustering method ... Keywords: Clustering, Grid Cell Graph, Grid cell, Near Neighbor Graph, Near neighbor point set

Xinquan Chen

2013-06-01T23:59:59.000Z

106

Energy of graphs and digraphs.  

E-Print Network (OSTI)

??The energy of a graph is the sum of the absolute values of the eigenvalues of its adjacency matrix. The concept is related to the (more)

Jahanbakht, Nafiseh

2010-01-01T23:59:59.000Z

107

Fixing file descriptor leaks  

E-Print Network (OSTI)

We design, implement and test a tool for eliminating file descriptor (FD) leaks in programs at run-time. Our tool monitors FD allocation and use. When the allocation of a new FD would fail because a process's entire pool ...

Dumitran, Octavian-Daniel

2007-01-01T23:59:59.000Z

108

Carver File Systems  

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

HOME. The absolute path to a home directory (e.g., u4joe) may change, but the value of HOME will always be correct. Please back up all important files on a regular...

109

ELCAP Data Assembly and Conversion Project: Report on File Contents  

E-Print Network (OSTI)

................................................................................................................7 PNNL Data Files.........................................................................................................................................9 PNNL Site Files.SASLIB.XPT.....................................................................................................................................14 PNNL AVAX Files

110

Renewal-anomalous-heterogeneous files  

E-Print Network (OSTI)

Renewal-anomalous-heterogeneous files are solved. A simple file is made of Brownian hard spheres that diffuse stochastically in an effective 1D channel. Generally, Brownian files are heterogeneous: the spheres' diffusion coefficients are distributed and the initial spheres' density is non-uniform. In renewal-anomalous files, the distribution of waiting times for individual jumps is exponential as in Brownian files, yet obeys: {\\psi}_{\\alpha} (t)~t^(-1-{\\alpha}), 0renewal as all the particles attempt to jump at the same time. It is shown that the mean square displacement (MSD) in a renewal-anomalous-heterogeneous file, , obeys, ~[_{nrml}]^{\\alpha}, where _{nrml} is the MSD in the corresponding Brownian file. This scaling is an outcome of an exact relation (derived here) connecting probability density functions of Brownian files and renewal-anomalous files. It is also shown that non-renewal-anomalous files are slower than the corresponding renewal ones.

Ophir Flomenbom

2010-08-13T23:59:59.000Z

111

Skewed graph partitioning  

Science Conference Proceedings (OSTI)

Graph partitioning is an important abstraction used in solving many scientific computing problems. Unfortunately, the standard partitioning model does not incorporate considerations that are important in many settings. We address this by describing a generalized partitioning model which incorporates the notion of partition skew and is applicable to a variety of problems. We then develop enhancements to several important partitioning algorithms necessary to solve the generalized partitioning problem. Finally we demonstrate the benefit of employing several of these generalized methods to static decomposition of parallel computing problems.

Hendrickson, B.; Leland, R. [Sandia National Labs., Albuquerque, NM (United States); Van Driessche, R. [Alcatel Telecom, Antwerp (Belgium)

1997-02-01T23:59:59.000Z

112

On Generating Random Network Structures: Connected Graphs  

Science Conference Proceedings (OSTI)

are presented for random generation of connected graphs, sugraphs (sub- graphs on the ... a distribution and take it into account at estimation. Attainability is...

113

From quantum graphs to quantum random walks  

E-Print Network (OSTI)

We give a short overview over recent developments on quantum graphs and outline the connection between general quantum graphs and so-called quantum random walks.

Gregor Tanner

2005-04-29T23:59:59.000Z

114

Quantum networks modelled by graphs  

Science Conference Proceedings (OSTI)

Quantum networks are often modelled using Schrdinger operators on metric graphs. To give meaning to such models one has to know how to interpret the boundary conditions which match the wave functions at the graph vertices. In this article we give a survey

Pavel Exner; Olaf Post

2008-01-01T23:59:59.000Z

115

Robust Hamiltonicity of Dirac graphs  

E-Print Network (OSTI)

A graph is Hamiltonian if it contains a cycle which passes through every vertex of the graph exactly once. A classical theorem of Dirac from 1952 asserts that every graph on $n$ vertices with minimum degree at least $n/2$ is Hamiltonian. We refer to such graphs as Dirac graphs. In this paper we extend Dirac's theorem in two directions and show that Dirac graphs are robustly Hamiltonian in a very strong sense. First, we consider a random subgraph of a Dirac graph obtained by taking each edge independently with probability $p$, and prove that there exists a constant $C$ such that if $p \\ge C \\log n / n$, then a.a.s. the resulting random subgraph is still Hamiltonian. Second, we prove that if a $(1:b)$ Maker-Breaker game is played on a Dirac graph, then Maker can construct a Hamiltonian subgraph as long as the bias $b$ is at most $cn /\\log n$ for some absolute constant $c > 0$. Both of these results are tight up to a constant factor, and are proved under one general framework.

Krivelevich, Michael; Sudakov, Benny

2012-01-01T23:59:59.000Z

116

Description file for NLCD92 contiguous raster coverage file  

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

Readme file for NLCD92 contiguous raster coverage file Abstract: This data set is one complete raster coverage of the USGS National Land Cover Data (NLCD). The NLCD is a 21-class...

117

PDSF Shells and Startup Files  

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

Shells and Startup Files Shells and Startup Files PDSF Defined Environment When new users are added to the PDSF machines, the shell is set according to the user's request. You can...

118

OHA EIA CASES ARCHIVE FILE  

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

This is a archive file of our EIA decisions, Please download this file to your local computer and use the build in adobe search feature. Individual cases are listed in the bookmark section of the...

119

OHA Whistleblower Cases Archive File  

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

This is a archive file of our Whistleblower decisions, Please download this file to your local computer and use the build in adobe search feature. Individual cases are listed in the bookmark...

120

OHA Security Cases Archive File  

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

This is a archive file of our Security decisions, Please download this file to your local computer and use the build in adobe search feature. Individual cases are listed in the bookmark section of...

Note: This page contains sample records for the topic "xls files graphs" 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

OHA FOIA Cases Archive File  

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

This is a archive file of our FOIA decisions, Please download this file to your local computer and use the build in adobe search feature. Individual cases are listed in the bookmark section of the...

122

OHA Misc Cases Archive File  

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

This is a archive file of our Misc decisions, Please download this file to your local computer and use the build in adobe search feature. Individual cases are listed in the bookmark section of the...

123

Edison File Storage and I/O  

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

File Storage and IO File Storage and IO Disk Quota Change Request Form Edison File Systems The Edison system has 4 different file systems; they provide different levels of disk...

124

The NERSC CAM README file  

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

decomposition and communication layer Parallel Library for Grid Manipulations (PILGRIM), source and build files for which are located in camrootmodelsutilspilgrim....

125

Probe threshold and probe trivially perfect graphs  

Science Conference Proceedings (OSTI)

An undirected graph G=(V,E) is a probeC graph if its vertex set can be partitioned into two sets, N (nonprobes) and P (probes) where N is independent and there exists E^'@?NxN such that G^'=(V,E@?E^') is a C graph. In this article we investigate probe ... Keywords: 2-SAT, Graph class, Probe graphs, Probe interval, Probe threshold, Probe trivially perfect

Daniel Bayer; Van Bang Le; H. N. de Ridder

2009-11-01T23:59:59.000Z

126

Graph anomalies in cyber communications  

Science Conference Proceedings (OSTI)

Enterprises monitor cyber traffic for viruses, intruders and stolen information. Detection methods look for known signatures of malicious traffic or search for anomalies with respect to a nominal reference model. Traditional anomaly detection focuses on aggregate traffic at central nodes or on user-level monitoring. More recently, however, traffic is being viewed more holistically as a dynamic communication graph. Attention to the graph nature of the traffic has expanded the types of anomalies that are being sought. We give an overview of several cyber data streams collected at Los Alamos National Laboratory and discuss current work in modeling the graph dynamics of traffic over the network. We consider global properties and local properties within the communication graph. A method for monitoring relative entropy on multiple correlated properties is discussed in detail.

Vander Wiel, Scott A [Los Alamos National Laboratory; Storlie, Curtis B [Los Alamos National Laboratory; Sandine, Gary [Los Alamos National Laboratory; Hagberg, Aric A [Los Alamos National Laboratory; Fisk, Michael [Los Alamos National Laboratory

2011-01-11T23:59:59.000Z

127

The Multilevel Grid File {A Dynamic Hierarchical Multidimensional File Structure  

E-Print Network (OSTI)

ABSTRACT: We present a new dynamic hashed file organization that solves most problems associated with the directory of the grid file proposed by Nievergelt et al. Our scheme is a multilevel extension of the grid file that supports multiattribute accesses to the file for exact-match, partialmatch, and range queries as well as graceful expansion and shrinkage of the file in a dynamic environment. This new file organization offers a number of advantages over the grid file such as compact representation of the directory, linear growth of the directory in the number of records, easy splitting and merging of the directory, efficient processing of partial-match queries, and finer granularity of the directory. Moreover, it provides a new concept, calledabshuct d, that can be employed in practical database applications. 1.

Kyu-young Whang; Ravi Krishnamurthy

1991-01-01T23:59:59.000Z

128

APPROXIMATING THE CHROMATIC NUMBER OF A GRAPH BY ...  

E-Print Network (OSTI)

Dec 16, 2005 ... ?(G) of a graph G. We introduce an operator ? mapping any graph parameter ?( G), nested between ...... On the Shannon capacity of a graph.

129

Time Series Graphs of Global and Hemispheric Temperature Anomalies...  

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

Time Series Graphs of Global and Hemispheric Temperature Anomalies graphics Graph - Global and Hemispheric Annual Temperature Anomalies, 1850-2012 graphics Graph - Northern...

130

Nested (2,r)-regular graphs and their network properties.  

E-Print Network (OSTI)

??A graph G is a (t, r)-regular graph if every collection of t independent vertices is collectively adjacent to exactly r vertices. If a graph (more)

Brooks, Josh Daniel

2012-01-01T23:59:59.000Z

131

MEMORANDUfl J: FILE DATE  

Office of Legacy Management (LM)

J: FILE DATE J: FILE DATE // //r /so -----------w------m FROM: 9. 34oyc -w--------v----- SUBJECT: D3 Bo;s CL&;C J mL-;+J; - Rcc cap 049 /'A :j$: &336;s L-.fh~ w-f L-1 ALE"nirTE __ ------------- --- ---_------------------ CITY: &u+M- - &. -w---v------ ---B-------w STATE: 0 h' -a---- OWNER(S) --pi::;- l>cl, b af.5 CA.-*>J CD Current: Gr;W i- ~U~&;P~ -------------,,' ,-,,,,-, Owner contacted 0 yes jg no; -------------------------- if yes, date contacted ------m------ TYPE OF OPERATION --w--w----------- & Research & Development a Facility Type 0 Production scale testing Cl Pilot Scale 0 Bench Scale Process 0 Theoretical Studies w Sample & Analysis 0 Manufacturing 0 University 0 Research Organization 0 Government Sponsored Facility

132

TO: FILE MEMORANDUM  

Office of Legacy Management (LM)

FILE FILE MEMORANDUM DATE +zljlk> - - - - ---_ _ _ ALTERNATE NAME: CITY: -!~Lh_-~~~bl--~--------STATE: --%&A --~~~~~~---~~~------__ a OWNE=t (!, ----L--- P a s t i awne~-;Pntacted ?? yes --~~~~~-----_------_______ ; i f y e s , d a t e c o n t a c t e d ----------___ TYPE O& OPERATION -----+--------- & Development cl Facility Type 0 D i spbsal/Storage 0 Ma,nuf acturing 0 U n i v e r s i t y 0 R e s e a r c h O r g a n i z a t i o n / 0 Government 0 O t h e r Sponsored Facility -------------------L- TYPE OF CONTRACT -----------_____ 0 Prime 0 S u b & t r a c t o r ??Purctase Order ? Other information (i.e., cost / + fixed fee, unit price, time & material, gtc:) ------- ! ---------------------------- ~ .Ccntract/Purchase O r d e r - - - - - - - - I, # --~~-~-_~~~~---- CONTRACTING PESIOD- i -------e------L---- .I --~-~~r~-~~-~~--- ______ ~--~--- OWNERSHIP:

133

MICROCOMP output file  

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

O:\END\EPAC300.lc (file 1 of 19) O:\END\EPAC300.lc (file 1 of 19) S.L.C. 109TH CONGRESS REPORT " ! HOUSE OF REPRESENTATIVES SENATE 1st Session 109- ENERGY POLICY ACT OF 2005 , 2005.-Ordered to be printed , from the committee of conference, submitted the following CONFERENCE REPORT [To accompany H.R. 6] The committee of conference on the disagreeing votes of the two Houses on the amendment of the Senate to the bill (H.R. 6), to en- sure jobs for our future with secure, affordable, and reliable energy, having met, after full and free conference, have agreed to rec- ommend and do recommend to their respective Houses as follows: That the House recede from its disagreement to the amendment of the Senate and agree to the same with an amendment as fol- lows: In lieu of the matter proposed to be inserted by the Senate

134

Northern Pass WLT Filing  

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

September 12, 2013 Electronic filing September 12, 2013 Electronic filing Christopher Lawrence Office of Electricity Delivery and Energy Reliability (OE-20), U.S. Department of Energy, 1000 Independence Avenue, SW. Washington, DC 20585 Fax: (202) 586-8008 Christopher.Lawrence@hq.doe.gov Re: Petition by The Weeks Lancaster Trust to intervene in the matter of the Northern Pass Transmission LLC Application for a Presidential Permit (OE Docket No. PP-371) Dear Mr. Lawrence, Following is the petition by The Weeks Lancaster Trust LLC to intervene and comment in the matter of Northern Pass Transmission LLC's Application for a Presidential Permit (PP-371). In accordance with the Notice of Application for this proceeding (75FR 69990), we are also sending a hard copy to the address above. Please contact us by

135

0-1 graph partitioning and image segmentation  

E-Print Network (OSTI)

Graph partitioning is the grouping of all the nodes in a graph into two or more partitions based on certain criteria. Graph cut techniques are used to partition a graph. The Minimum Cut method gives imbalanced partitions. ...

Goh, Chun Fan

2008-01-01T23:59:59.000Z

136

Large File System Backup: NERSC Global File System Experience  

SciTech Connect

NERSC's Global File system (NGF), accessible from all compute systems at NERSC, holds files and data from many scientific projects. A full backup of this file system to our High Performance Storage System (HPSS) is performed periodically. Disk storage usage by projects at NERSC has grown seven fold over a two year period, from ~;;20TB in June 2006 to ~;;140 TB in June 2008. The latest full backup took about 13 days and more than 200 T10k tape cartridges (.5 TB capacity). Petabyte file systems are becoming a reality in the next few years and the existing utilities are already strained in handling backup tasks.

Mokhtarani, Akbar; Andrews, Matthew; Hick, Jason; Kramer, William

2008-10-23T23:59:59.000Z

137

R:\\Test Library\\Inventory\\Inventory as of March 21.07.xls TEST LIBRARY INVENTORY AS OF MARCH 21, 2007  

E-Print Network (OSTI)

R:\\Test Library\\Inventory\\Inventory as of March 21.07.xls TEST LIBRARY INVENTORY AS OF MARCH 21 Complete test (box) Shelf #2 1 ASDS Asperger Syndrome Diagnostic Scale 2001 Complete test Drawer #1 1 AOIR Assessment of Interpersonal Relations 1993 Test - restricted Drawer #1 1 ADI-R Autism Diagnostic Interview

Saskatchewan, University of

138

A discrete curvature on a planar graph  

E-Print Network (OSTI)

Given a planar graph derived from a spherical, euclidean or hyperbolic tessellation, one can define a discrete curvature by combinatorial properties, which after embedding the graph in a compact 2d-manifold, becomes the Gaussian curvature.

M. Lorente

2004-12-20T23:59:59.000Z

139

Graph coloring and related symmetric functions - CECM  

E-Print Network (OSTI)

metric functions), pa (the power sum symmetric functions), s~ (the Schur functions ), ..... It is true for line graphs (a special class of claw-free graphs) by a result of.

140

File and Data Repositories for CALPHAD and Beyond  

Science Conference Proceedings (OSTI)

Such a repository needs to include files with functional descriptions, data files used for refinement of the functional descriptions and auxiliary files. The files are ...

Note: This page contains sample records for the topic "xls files graphs" 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

File:07TXBRECGeneratorCertification.pdf | Open Energy Information  

Open Energy Info (EERE)

TXBRECGeneratorCertification.pdf Jump to: navigation, search File File history File usage Metadata File:07TXBRECGeneratorCertification.pdf Size of this preview: 463 599 pixels....

142

File:03MTCEncroachmentOverview.pdf | Open Energy Information  

Open Energy Info (EERE)

MTCEncroachmentOverview.pdf Jump to: navigation, search File File history File usage File:03MTCEncroachmentOverview.pdf Size of this preview: 463 599 pixels. Other resolution:...

143

File:Federal Hydropower - Southeastern Power Administration.pdf...  

Open Energy Info (EERE)

Login | Sign Up Search File Edit History Facebook icon Twitter icon File:Federal Hydropower - Southeastern Power Administration.pdf Jump to: navigation, search File File...

144

Positional Games on Random Graphs  

E-Print Network (OSTI)

We introduce and study Maker/Breaker-type positional games on random graphs. Our main concern is to determine the threshold probability pF for the existence of Maker's strategy to claim a member of in the unbiased game played on the edges of random graph G(n, p), for various target families of winning sets. More generally, for each probability above this threshold we study the smallest bias b such that Maker wins the (1: b) biased game. We investigate these functions for a number of basic games, like the connectivity game, the perfect matching game, the clique game and the Hamiltonian cycle game.

Milos Stojakovic; Tibor Szabo

2005-01-01T23:59:59.000Z

145

CONTAM Weather File Creator Help  

Science Conference Proceedings (OSTI)

... Then enter the start and end date for Daylight Savings Time. First Day of the Year. ... Converting an Energy Plus Weather File. ...

146

MEHORANDUfl TO: FILE SUBJECT:  

Office of Legacy Management (LM)

MEHORANDUfl MEHORANDUfl TO: FILE ------_____ SUBJECT: OWNER (S) -----_-- Post:-------_-------_________ current: ---------_---------_______ Owner contacted 0 yes Qnna; if yes, date contacted -------_--___ TYPE OF OPERATION ~~~---~~_-----__- 0 Research & Develapment x Facility Type 0 Production scale testing 0 Pilot Scale 0 Bench Scale Pkoces;s i ,Theoretical Studies Sample & Analysis 0 Manufacturing 0 University 0 Research Drganizaticn 0 Government Sponsored Facility & other &ded-S~AWe-- c Production 0 Di cposal /Storage TYPE OF CONTRACT ---------------- 5 Prime 0 Q Subcontract& -$JJ$~~~$~~' ~~*' - T04' L Other information (i.e., cost + fixed fee, unit price, 0 Purchase Order time 81 material, qtr) ------- _----__------_---__--------- Cantract/Purkhaae Order #-@ -'

147

MEMORANDUM TO: FILE  

Office of Legacy Management (LM)

.f ! I I (' ii MEMORANDUM TO: FILE DATE 5 +/9! ----- ------------- FROM: D. Jxw+ a--------------- SUBJECT: E/;vlr;l~&~- fico -de+& Y&U- c . 6. %qo+y& + 3-r SITE NAME: c- G* ~.&-J&-& 4 fib+< ALTERNATE -------a----- _------------------------ NAME: ---------------------- CITY: &w;-&u; & ----------------------e-w- STATE: /+?# ------ OWNER(S) ---pi;;;- c * c. s&r--&&+ ------------ -- -------- Current: un W&e k Owner contacted 0 yes a no; ---w-------------------m-- if yes, date contacted -----a------- TYPE OF OPERATION ----------------- a Research 81 Development 0 Facility Type fl Production scale testing 0 Pilot Scale 0 Bench Scale Process 0 Theoretical Studies 0 Sample & Analysis 0 Production

148

MEIIORANDUM TO: FILE  

Office of Legacy Management (LM)

MEIIORANDUM MEIIORANDUM TO: FILE FROM: A. &/b~ ----------_----_ SUBJECT: TYPE OF OPERATION ~_~~_--~~_------_ q Research & Development 0 Production scale testing 0 Pilat Scale 0 Bench Scale Process 0 Theoretical Studies 0 Sample & Analysis q Facility Type 0 Manufacturing 0 University 0 Research Organization 0 Gavernment Sponsored Faci 1 i ty 0 Other ~~~~~~~-~~--_--___--- 0 Product: on a Disposal/Stiorage TYPE OF CONTRACT ------_----__--_ 0 Prime q Other information (i.e., cost 0 Subcontractor + fixed fee, unit price, U Purchase Order time & material, gtc) ------- -L-------------------------- .&ntr&/Purchase Order #-$&z a :~-_~~;;~~~-~~~~-~-~~bh~' ,~. CENTRACTING PERIOD: raj * ------------------------------------- OWNERSHIP: AEC/MED AEC/MED GOVT GOUT CONTRACTOR CONTRACToR

149

MEMORANDUM TO: FILE  

Office of Legacy Management (LM)

. . 8, +::.-., . MEMORANDUM TO: FILE FROM: A* d&k -------- SUBJECT: SITE NAME: ---------------i--__--____ if yes, date contacted --i---------- TYPE OF OPERATION ~-~_---_-~~~--__- 0 Research & Development 0 Production scale testing Cl Pilot Scale 0 Bench Scale Process i Theoretical Studies Sample & Analysis Cl Productian I3 Disposal /Storage Facility Type/ 0 Research Okganitation 0 Government~Spcnsored Facil$ty 0 Other ~~~~~~~--~-~~-_~~---- TYPE OF CONTRACT ~--_---_-~~----_ 0 Prime 0 Subcontract& 0 Purchase Order Cant.r&t/Purchase Order / I CI Other information (i.e., cost + fixed fee, unit pr~ice, time & material,.gtc) '~ ------- ---------------------------- CP!IE!!CIL~E-PSELgQ: rst4 ----------------------------- OWNERSHIP:

150

MEMORANDUM TO: FILE  

Office of Legacy Management (LM)

3 3 MEMORANDUM TO: FILE FROM: D, h&Z *_ --------------__ SITE NA,,E: -------- CITY: -%+&6!? -------------------------- STATE: CT cr: 13 ------ WNERL_S, Past: -------_____-----_-_____ current: -----------------------~-- Owner contacted q yes q no; if yes, date contacted / TYPE OF OPERATION ----------------- J& Research & Development i \ 0 Production scale testing 0 Pilot Scale 0 Bench Scale Process i Theoretical Studies Sample & Analysis m Production e9 Facility Type p Manufacturing rJ University $ Research Organizat 0 Government Sponsor 0 Other I ------------ ,-, I I TFaLility Other information (i.e., cost + fixed fee, unit price, Contract/Purchase ~~~~---~~~_---~~~~---------- I OWNERSHiP: AEC/MED AECbED GOVT GOUT I CONTRACTOR CONTRACTOR

151

Mining closed relational graphs with connectivity constraints  

Science Conference Proceedings (OSTI)

Relational graphs are widely used in modeling large scale networks such as biological networks and social networks. In this kind of graph, connectivity becomes critical in identifying highly associated groups and clusters. In this paper, we investigate ... Keywords: closed pattern, connectivity, graph

Xifeng Yan; X. Jasmine Zhou; Jiawei Han

2005-08-01T23:59:59.000Z

152

Graph partitioning via recurrent multivalued neural networks  

Science Conference Proceedings (OSTI)

In this work, the well-known Graph Partitioning (GP) problem for undirected weighted graphs has been studied from two points of view: maximizing (MaxCut) or minimizing (MinCut) the cost of the cut induced in the graph by the partition. An unified model, ...

Enrique Mrida-Casermeiro; Domingo Lpez-Rodrguez

2005-06-01T23:59:59.000Z

153

Introducing complete graphs in molecular connectivity studies  

Science Conference Proceedings (OSTI)

The mathematical model of the molecular polarizability of fifty-four organic compounds, of the lattice enthalpy of twenty metal halides, and of the partition coefficient of twenty-five organic compounds has been used to test four different complete graph, ... Keywords: Mathematical model, algorithms, chemical graphs, complete graphs, core electrons, molecular connectivity, polarizability

Lionello Pogliani

2005-01-01T23:59:59.000Z

154

Bipartite graph partitioning and data clustering  

Science Conference Proceedings (OSTI)

Many data types arising from data mining applications can be modeled as bipartite graphs, examples include terms and documents in a text corpus, customers and purchasing items in market basket analysis and reviewers and movies in a movie recommender ... Keywords: bipartite graph, correspondence analysis, document clustering, graph partitioning, singular value decomposition, spectral relaxation

Hongyuan Zha; Xiaofeng He; Chris Ding; Horst Simon; Ming Gu

2001-10-01T23:59:59.000Z

155

A Graph Analytical Approach for Topic Detection  

Science Conference Proceedings (OSTI)

Topic detection with large and noisy data collections such as social media must address both scalability and accuracy challenges. KeyGraph is an efficient method that improves on current solutions by considering keyword cooccurrence. We show that KeyGraph ... Keywords: KeyGraph-based Topic Detection, Topic detection, community detection, network analysis

Hassan Sayyadi, Louiqa Raschid

2013-12-01T23:59:59.000Z

156

Drawing graphs nicely using simulated annealing  

Science Conference Proceedings (OSTI)

The paradigm of simulated annealing is applied to the problem of drawing graphs nicely. Our algorithm deals with general undirected graphs with straight-line edges, and employs several simple criteria for the aesthetic quality of the result. ... Keywords: aesthetics, graph drawing, simulated annealing

Ron Davidson; David Harel

1996-10-01T23:59:59.000Z

157

Annual Energy Review - Energy Information Administration  

U.S. Energy Information Administration (EIA)

10.4 Biodiesel Overview, 2001 XLS CSV: INTERACTIVE: 10.5 Estimated Number of Alternative-Fueled Vehicles in Use and Fuel Consumption, 1992 PDF XLS GRAPH:

158

quFiles: the right file at the right time  

Science Conference Proceedings (OSTI)

A quFile is a unifying abstraction that simplifies data management by encapsulating different physical representations of the same logical data. Similar to a quBit (quantum bit), the particular representation of the logical data displayed by a quFile ...

Kaushik Veeraraghavan; Jason Flinn; Edmund B. Nightingale; Brian Noble

2010-02-01T23:59:59.000Z

159

Monthly Energy Review - October 2000  

Gasoline and Diesel Fuel Update (EIA)

October October 25, 2000 Electronic Access The Monthly Energy Review (MER) is available on the Energy Information Administration (EIA) website in a wide variety of formats at: http://www.eia.doe.gov/mer * Tables: ASCII text (TXT) and Portable Document Format (PDF) files. * Table Data Files: Excel (XLS) and Lotus (WK1). * Database Files (unrounded monthly data 1973 forward): Excel (XLS) files. * Graph pages, MER sections, and complete MER: PDF files. Complete MER PDF files are also available on the EIA "Energy Info Disk" through the U.S. De- partment of Commerce at 1-800-STAT-USA. Also available are ASCII comma delimited data files at: http://www.eia.doe.gov/pub/energy.overview/ monthly.energy/current.mer. Timing of Release: MER data are normally released in the afternoon of the third-to-last workday of each month and are usually available electronically the following

160

Monthly Energy Review - September 2000  

Gasoline and Diesel Fuel Update (EIA)

September September 26, 2000 Electronic Access The Monthly Energy Review (MER) is available on the Energy Information Administration (EIA) website in a wide variety of formats at: http://www.eia.doe.gov/mer * Tables: ASCII text (TXT) and Portable Document Format (PDF) files. * Table Data Files: Excel (XLS) and Lotus (WK1). * Database Files (unrounded monthly data 1973 forward): Excel (XLS) files. * Graph pages, MER sections, and complete MER: PDF files. Complete MER PDF files are also available on the EIA "Energy Info Disk" through the U.S. De- partment of Commerce at 1-800-STAT-USA. Also available are ASCII comma delimited data files at: http://www.eia.doe.gov/pub/energy.overview/ monthly.energy/current.mer. Timing of Release: MER data are normally released in the afternoon of the third-to-last workday of each month and are usually available electronically the following

Note: This page contains sample records for the topic "xls files graphs" 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

Monthly Energy Review - April 2001  

Gasoline and Diesel Fuel Update (EIA)

April April 30, 2001 Electronic Access The Monthly Energy Review (MER) is available on the Energy Information Administration (EIA) website in a wide variety of formats at: http://www.eia.doe.gov/mer * Tables: ASCII text (TXT) and Portable Document Format (PDF) files. * Table Data Files: Excel (XLS) and Lotus (WK1). * Database Files (unrounded monthly data 1973 forward): Excel (XLS) files. * Graph pages, MER sections, and complete MER: PDF files. Complete MER PDF files are also available on the EIA "Energy Info Disk" through the U.S. De- partment of Commerce at 1-800-STAT-USA. Also available are ASCII comma delimited data files at: http://www.eia.doe.gov/pub/energy.overview/ monthly.energy/current.mer. Timing of Release: MER data are normally released in the afternoon of the third-to-last workday of each month and are usually available electronically the following

162

Monthly Energy Review - June 2001  

Gasoline and Diesel Fuel Update (EIA)

June June 28, 2001 Electronic Access The Monthly Energy Review (MER) is available on the Energy Information Administration (EIA) website in a wide variety of formats at: http://www.eia.doe.gov/mer * Tables: ASCII text (TXT) and Portable Document Format (PDF) files. * Table Data Files: Excel (XLS) and Lotus (WK1). * Database Files (unrounded monthly data 1973 forward): Excel (XLS) files. * Graph pages, MER sections, and complete MER: PDF files. Complete MER PDF files are also available on the EIA "Energy Info Disk" through the U.S. De- partment of Commerce at 1-800-STAT-USA. Also available are ASCII comma delimited data files at: http://www.eia.doe.gov/pub/energy.overview/ monthly.energy/current.mer. Timing of Release: MER data are normally released in the afternoon of the third-to-last workday of each month and are usually available electronically the following

163

Help:Uploading Files | Open Energy Information  

Open Energy Info (EERE)

Uploading Files Uploading Files Jump to: navigation, search Click on the upload file link at the bottom of the page (NOTE: you must be logged in to have this option). Uploading tutorial.JPG Click on the "choose file" button to choose the file you would like to upload Uploading tutorial2.JPG Choose the file on your local drive that you would like to upload to OpenEI. Uploading tutorial3.JPG Click "upload file" to upload onto OpenEI Uploading tutorial4.JPG Finally, use the file name along with the instructions below to insert into the wikipage. Uploading tutorial5.JPG Links Link to description page If you put a colon (:) before File:, the image will not be embedded and the link will lead to the description page of the file. [[:File:Example.jpg]] [[:File:Example.jpg|Sunflowers]]

164

File:Install.pdf | Open Energy Information  

Open Energy Info (EERE)

Install.pdf Install.pdf Jump to: navigation, search File File history File usage File:Install.pdf Size of this preview: 463 × 599 pixels. Other resolution: 464 × 600 pixels. Full resolution ‎(1,275 × 1,650 pixels, file size: 86 KB, MIME type: application/pdf) File history Click on a date/time to view the file as it appeared at that time. Date/Time Thumbnail Dimensions User Comment current 13:48, 1 November 2012 Thumbnail for version as of 13:48, 1 November 2012 1,275 × 1,650 (86 KB) Dklein2012 (Talk | contribs) You cannot overwrite this file. Edit this file using an external application (See the setup instructions for more information) File usage There are no pages that link to this file. Retrieved from "http://en.openei.org/w/index.php?title=File:Install.pdf&oldid=53281

165

File:DIAsample.pdf | Open Energy Information  

Open Energy Info (EERE)

DIAsample.pdf DIAsample.pdf Jump to: navigation, search File File history File usage File:DIAsample.pdf Size of this preview: 776 × 600 pixels. Full resolution ‎(1,650 × 1,275 pixels, file size: 280 KB, MIME type: application/pdf) File history Click on a date/time to view the file as it appeared at that time. Date/Time Thumbnail Dimensions User Comment current 15:53, 2 August 2012 Thumbnail for version as of 15:53, 2 August 2012 1,650 × 1,275 (280 KB) Andbailey (Talk | contribs) You cannot overwrite this file. Edit this file using an external application (See the setup instructions for more information) File usage The following page links to this file: Identify types of development and climate impacts that are country priorities Retrieved from "http://en.openei.org/w/index.php?title=File:DIAsample.pdf&oldid=501432

166

File:Installnot.pdf | Open Energy Information  

Open Energy Info (EERE)

Installnot.pdf Installnot.pdf Jump to: navigation, search File File history File usage File:Installnot.pdf Size of this preview: 463 × 599 pixels. Other resolution: 464 × 600 pixels. Full resolution ‎(1,275 × 1,650 pixels, file size: 175 KB, MIME type: application/pdf) File history Click on a date/time to view the file as it appeared at that time. Date/Time Thumbnail Dimensions User Comment current 16:12, 13 November 2012 Thumbnail for version as of 16:12, 13 November 2012 1,275 × 1,650 (175 KB) Dklein2012 (Talk | contribs) You cannot overwrite this file. Edit this file using an external application (See the setup instructions for more information) File usage There are no pages that link to this file. Retrieved from "http://en.openei.org/w/index.php?title=File:Installnot.pdf&oldid=536509"

167

File:Apschem.pdf | Open Energy Information  

Open Energy Info (EERE)

Apschem.pdf Apschem.pdf Jump to: navigation, search File File history File usage File:Apschem.pdf Size of this preview: 463 × 599 pixels. Other resolution: 464 × 600 pixels. Full resolution ‎(1,275 × 1,650 pixels, file size: 105 KB, MIME type: application/pdf) File history Click on a date/time to view the file as it appeared at that time. Date/Time Thumbnail Dimensions User Comment current 12:25, 14 November 2012 Thumbnail for version as of 12:25, 14 November 2012 1,275 × 1,650 (105 KB) Dklein2012 (Talk | contribs) You cannot overwrite this file. Edit this file using an external application (See the setup instructions for more information) File usage There are no pages that link to this file. Retrieved from "http://en.openei.org/w/index.php?title=File:Apschem.pdf&oldid=536777

168

File:20121127144736519.pdf | Open Energy Information  

Open Energy Info (EERE)

1127144736519.pdf 1127144736519.pdf Jump to: navigation, search File File history File usage File:20121127144736519.pdf Size of this preview: 463 × 599 pixels. Other resolution: 464 × 600 pixels. Full resolution ‎(1,275 × 1,650 pixels, file size: 116 KB, MIME type: application/pdf) File history Click on a date/time to view the file as it appeared at that time. Date/Time Thumbnail Dimensions User Comment current 15:55, 27 November 2012 Thumbnail for version as of 15:55, 27 November 2012 1,275 × 1,650 (116 KB) Dklein2012 (Talk | contribs) You cannot overwrite this file. Edit this file using an external application (See the setup instructions for more information) File usage There are no pages that link to this file. Retrieved from "http://en.openei.org/w/index.php?title=File:20121127144736519.pdf&oldid=53999

169

File:Oregonshpodocumentationstandards.pdf | Open Energy Information  

Open Energy Info (EERE)

Oregonshpodocumentationstandards.pdf Oregonshpodocumentationstandards.pdf Jump to: navigation, search File File history File usage File:Oregonshpodocumentationstandards.pdf Size of this preview: 463 × 599 pixels. Other resolution: 464 × 600 pixels. Full resolution ‎(1,275 × 1,650 pixels, file size: 31 KB, MIME type: application/pdf) File history Click on a date/time to view the file as it appeared at that time. Date/Time Thumbnail Dimensions User Comment current 11:37, 20 November 2012 Thumbnail for version as of 11:37, 20 November 2012 1,275 × 1,650 (31 KB) Dklein2012 (Talk | contribs) You cannot overwrite this file. Edit this file using an external application (See the setup instructions for more information) File usage There are no pages that link to this file. Retrieved from "http://en.openei.org/w/index.php?title=File:Oregonshpodocumentationstandards.pdf&oldid=538466"

170

Constrained Graph Optimization: Interdiction and Preservation Problems  

SciTech Connect

The maximum flow, shortest path, and maximum matching problems are a set of basic graph problems that are critical in theoretical computer science and applications. Constrained graph optimization, a variation of these basic graph problems involving modification of the underlying graph, is equally important but sometimes significantly harder. In particular, one can explore these optimization problems with additional cost constraints. In the preservation case, the optimizer has a budget to preserve vertices or edges of a graph, preventing them from being deleted. The optimizer wants to find the best set of preserved edges/vertices in which the cost constraints are satisfied and the basic graph problems are optimized. For example, in shortest path preservation, the optimizer wants to find a set of edges/vertices within which the shortest path between two predetermined points is smallest. In interdiction problems, one deletes vertices or edges from the graph with a particular cost in order to impede the basic graph problems as much as possible (for example, delete edges/vertices to maximize the shortest path between two predetermined vertices). Applications of preservation problems include optimal road maintenance, power grid maintenance, and job scheduling, while interdiction problems are related to drug trafficking prevention, network stability assessment, and counterterrorism. Computational hardness results are presented, along with heuristic methods for approximating solutions to the matching interdiction problem. Also, efficient algorithms are presented for special cases of graphs, including on planar graphs. The graphs in many of the listed applications are planar, so these algorithms have important practical implications.

Schild, Aaron V [Los Alamos National Laboratory

2012-07-30T23:59:59.000Z

171

GlNTRM FILES  

Office of Legacy Management (LM)

: .; : .; GlNTRM FILES .- Red Rwtaaie!a .=?%A .-m JJullen mtoxges8ntuuo -006 .017 .olb J-m .021 .OLt .Ol2 *Jeta Lhh .029 .0X9 ,026 ~k~exwteethaae~oyeencloee~ttothxflcmrof bUckaide. After the deccxmdnatimpxcblarrrro mlved.the rt8tma dt&itO lo- &ctioacoilrpasdistuEeed. 1. . ,, -. . . ' The conparty visited 3~ciali.z.e~ ja the a.ppLicatica of Znductiw beat. The purpose of this trip wa s to advise on haaBh and safety measures for the preoceeptance testing of inductioo heat treating equipment procmed by NU3. Tim conclusims &am attaining to the health and safety hazards involved in the iaducti0n heat treating of uraaim mtal axe stated in amtber trip report (D. i. Plowers to J. A. Quigley. LLD,, 12/18/58). Based ca those comzlosions. ,tbe following recomandations were given .to Ajax-

172

MEMORANDUM TO: FILE FROM:  

Office of Legacy Management (LM)

p' p' : , .; ' _ ' < 3.518 MEMORANDUM TO: FILE FROM: -Ye L&a --------e---e--- DATE 6j8/8 7 v---s -- ---------- SUBJECT: ;&l a+-b IA T~cornqm Q afib4 SITE NAME: CITY: & &&at leg co Current: ------------------------ Owner contacted 0 yes p no; if yem, date contacted --w---w------ TYPE OF OPERATION The T$SYI L-- Tj flmf ----------------- FResearch & Development a Facility 0 Production scale testing 0 Pilot Scale p Manufacturing 0 Bench Scale Process [3 University 0 Theoretical Studies 0 Research Organization 0 Sample t Analysis 0 Government Sponsored Facility 0 Other --------------------- 0 Production 0 Disposal/Storage TYPE OF CONTRACT ---------------- p Prim* tLl fo$q rJ WQ 0 Subcontractor 0 Purchase Order Cl Other information (i.e., cost

173

MEMORANDUrl TO: FILE  

Office of Legacy Management (LM)

MEMORANDUrl MEMORANDUrl TO: FILE FROM: 3. Lfwhle ---------------- ALTERNATE CITY: ---&!!!J&~~s__~- ________ STATE: --!?-c- (C&IO> OE!!EEL_S1 past: --rc;,b,&&~c! ---- current: --------- ---------- ---__-_ Owner contacted 0 yes g noi if yes, date contacted------ TYPE OF OPERATION ----------------- fl Research & Development 0 Production scale testing 0 Pilot Scale 0 Bench Scale Process p Theoretical Studies cl Sample s1 Analysis 0 Production 0 Disposal/Storage m Facility Type 0 tlanuf acturing p University 0 Research Organization 0 Government Sponsored Facility 0 Other --------------_______ B Prime AKC- cl. G&-Fo~~:~ q Other information (i.e., cost 0 Subcontractor + fixed fee, unit price, 0 Purchase Order C!2!LFSCII!!E-!33X!Z!:

174

HEMORANDUH TO: FILE DATE  

Office of Legacy Management (LM)

HEMORANDUH HEMORANDUH TO: FILE DATE 1123 lLjl ---WV-------------- FROM: P. s&w+ -------v-----s-- SUBJECT: lJ+ - e;& SITE NAME: LJo"zL - /L,' de Cd -J--h=- ALTERNATE l --e-e-- ------w------- ---,,,' ,m--, NAME: ---------------------- CITY: LL-pL~ ------------ ------------- STATE3 e--w-- OWNER tS) -----w-- Past I --k-!!.l~ -pa L . -v-----w------- Current: Owner contac?-ed 0 yes 0 no; if yes, I+Lff A zid;&m - -------------------------- date contacted ------B--m--- TYPE OF OPERATION ----------------- a Research 81 Development a Facility Type 0 Production scale testing 0 Pilot Scale 0 Bench Scale Procesr 0 Theoretical Studies 0 Sample & Analysis m Manuf acturinq 0 University 0 Research Organization 0 Government Sponrored Facility 0 Other

175

MEMORANDUM TO: FILE  

Office of Legacy Management (LM)

' ' a 7 > 3gI, q OH.I-r7.-I (jt' , ""7 MEMORANDUM TO: FILE FROM: ' 'Y OIL&i cz ,,,',, -------we- SUBJECT: SITE NAME: _____ CITY:-AQY&- --------------e----e-- OWNER(S) Owner contacted n yes =urr="t: ----- -Llz2-:---,-- -----___ &,&/4$- '1 :) ' if yes, data contacted ------------- TYPE OF OPERATION ----------------- a Research t Development lti- Facility Type 0 Production scale testing a Manufacturing 5 University 0 Research Organization 0 Government Sponsored Facility Cl Pilot Scale Cl Bench Scale Process : Theoretical Studies Sample SC Analysis 0 Production 0 Di 3posal /Storage TYPE OF CONTRACT -------------w-e BP rime 54, 1; cl Subcontractor a Purchase Order cs dL+f' d~ a 0 Other --------------------- Other information (i.e., cost

176

MEHORANDUM TO: FILE  

Office of Legacy Management (LM)

MEHORANDUM MEHORANDUM TO: FILE FR0t-t: -~+?!+-- SUBJECT: u - 5..7. am . . ALTERNATE W% : ---\L-&--~~+. ___- ____ S-fA-rE: t-4 ;5- ------ wJ!%RLSL " Past: ------------------------ Current: --~~---~---__~~~-------~-- Owner contacted 0 yes -glnos if yes, date cotitectad TYPE OF OPERATION ---------_----__- 0 Research & Development 0 Facility Type 0 Production scale testing 0 Pilot Scale 0 Bench Scale Process *I Theoretical Studies 0 Sample & kialysis 0 Production 0 Disposal /Storage IV!?LPExB?!IBfiEI 0 Uanuf ecturing 0 University 0 Research Organization IfJ ,"WW="""s, ---------------___--_ 0 Prims 0 Subcontractor 0 Purchase Order 0 Other information (i.e., cost + fixed fee, unit price, time 81 material, etc) ------- Contract/Purchase Order #

177

MEMORANDUM TO: FILE DATE  

Office of Legacy Management (LM)

-.. -.. 37qg: MEMORANDUM TO: FILE DATE =b-- FROM: ---L- _------__ u . SUBJECT: SITE ACl= ALTERNATE NAME: -_______-~-----------------NA~E:__( CITY:--~---------_-STATE:-~~ (2 OWNE!sI_SL f Past- L&cl= w ------------------- ----- Current- w buL.r - ------------ ownq cm-ltacted 0 yes @ "no; if yes, data cnntacte TYPE OF OPERATION -------------_~-~ q Research & Development 0 Production %.cale testing 0 Pilot Scale 0 Bench Scale Process 0 Theoretical Studies 0 Sample 84 Analysis 0 Production i2 Disposal/Storage 0 Facility T 0 Hanufac 0 Univerrj 0 .R esearc 0 Governm 14 Other 1 I lil IrJ y,/3 Prime 0 Other infcrkion Subcwkractbr (i.e., ?bst + fixed fee! &nit price, Cl Purchase Order time & mate

178

MEMORQNDUM TO: FILE  

Office of Legacy Management (LM)

MEMORQNDUM MEMORQNDUM TO: FILE 7./27/S 7. DATE------------------ M LAU FROt+ ---~--e--------e SITE ALTERNATE NAME: Net b-0 c/i-w, fS ~?L~-----------------N~~E:____---___------------ -----------------+-- CITY:-K_2_EJ=as+ Gz+q s+, pQ~:'&-STATE: cd past:----------------------- Curre"t:-------------------------- Owner contacted 0 yes sno; if yes, date contacted _ TYPE OF OPERATION ~~----_~~~---~~-- B Research & Development 0 'Production scale testing 0 Pilot Scale 0 Bench Scale Process 0 Theoretical Studies q Sample 81 Analysis 0 Praduction 0 Disposal/Storage m Facility Type 0 rlanuf acturing rJ University a Research Organization 0 Sovernment Sponsored Facility U Other --~~~---_~--~-_~~~~-_ q Prime, B Subcontractor a Purchase Order 0 Other information (i.e., cost

179

TO: FILE DATE  

Office of Legacy Management (LM)

tlEi?ORANDUH tlEi?ORANDUH TO: FILE DATE FFtOil: c ----'- Y '%d 6- ----_----_ SUBJECT: SITE NAME: ----------STATE: Owner contacted 0 yes qno; if yes, date contacted ---------__-- TYPE OF OPERATION ----~_--_--~----_ &Research & Development @ Praduction scale testing. 0 Pilat Scale 0 Bench Scale Process a Theoretical Studies 0 Sample & Analysis tin Facility Type R Manufacturing IJ University 0 Research Organization IJ Gavernment Sponsored Facility 0 Other ----------------' --~- 0 Production E Disposal/Storage TYPE OF CONTRACT ~~_-~--_---_--__ P Prime 0 I Cl Subcontractor Other information (i.e., cost K Purchase Order jZM pati !& MC4 + fixed fee, unit price, time 81 material, etc) ---------------------_----~-- OWNERSHIP: AEC/MED AEC/MED GOVT GOVT

180

Help:Managing files | Open Energy Information  

Open Energy Info (EERE)

Managing files Managing files Jump to: navigation, search If file uploads are enabled, you can upload certain types of files to the wiki. This is particularly useful for uploading images, which you want to place on an article, but you can also upload other types of files. Upload a file Prepare the file for upload. Make sure the file is exactly as you want it. In the sidebar, under "toolbox", click "upload file." Click "Browse" next to the "Source filename:" to locate the file on your computer (the name of the "browse" button depends on your web browser). Change the "Destination filename:" to something descriptive, if necessary. Fill in the "Summary," if necessary. Click the "Upload file" button.

Note: This page contains sample records for the topic "xls files graphs" 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

File:Lucs.pdf | Open Energy Information  

Open Energy Info (EERE)

Lucs.pdf Lucs.pdf Jump to: navigation, search File File history File usage File:Lucs.pdf Size of this preview: 463 × 599 pixels. Other resolution: 464 × 600 pixels. Go to page 1 2 3 4 Go! next page → next page → Full resolution ‎(1,275 × 1,650 pixels, file size: 111 KB, MIME type: application/pdf, 4 pages) File history Click on a date/time to view the file as it appeared at that time. Date/Time Thumbnail Dimensions User Comment current 15:40, 19 November 2012 Thumbnail for version as of 15:40, 19 November 2012 1,275 × 1,650, 4 pages (111 KB) Dklein2012 (Talk | contribs) You cannot overwrite this file. Edit this file using an external application (See the setup instructions for more information) File usage There are no pages that link to this file. Retrieved from

182

File:Energydatabusfacthseet.pdf | Open Energy Information  

Open Energy Info (EERE)

Energydatabusfacthseet.pdf Energydatabusfacthseet.pdf Jump to: navigation, search File File history File usage Metadata File:Energydatabusfacthseet.pdf Size of this preview: 463 × 599 pixels. Other resolution: 464 × 600 pixels. Go to page 1 2 Go! next page → next page → Full resolution ‎(1,275 × 1,650 pixels, file size: 385 KB, MIME type: application/pdf, 2 pages) File history Click on a date/time to view the file as it appeared at that time. Date/Time Thumbnail Dimensions User Comment current 15:59, 10 July 2013 Thumbnail for version as of 15:59, 10 July 2013 1,275 × 1,650, 2 pages (385 KB) Graham7781 (Talk | contribs) You cannot overwrite this file. Edit this file using an external application (See the setup instructions for more information) File usage The following 3 pages link to this file:

183

File:Bonnevillepowerfactsheet.pdf | Open Energy Information  

Open Energy Info (EERE)

Bonnevillepowerfactsheet.pdf Bonnevillepowerfactsheet.pdf Jump to: navigation, search File File history File usage Metadata File:Bonnevillepowerfactsheet.pdf Size of this preview: 463 × 599 pixels. Other resolution: 464 × 600 pixels. Go to page 1 2 Go! next page → next page → Full resolution ‎(1,275 × 1,650 pixels, file size: 648 KB, MIME type: application/pdf, 2 pages) File history Click on a date/time to view the file as it appeared at that time. Date/Time Thumbnail Dimensions User Comment current 15:53, 10 July 2013 Thumbnail for version as of 15:53, 10 July 2013 1,275 × 1,650, 2 pages (648 KB) Graham7781 (Talk | contribs) You cannot overwrite this file. Edit this file using an external application (See the setup instructions for more information) File usage The following page links to this file:

184

File:Noaafactsheet.pdf | Open Energy Information  

Open Energy Info (EERE)

Noaafactsheet.pdf Noaafactsheet.pdf Jump to: navigation, search File File history File usage Metadata File:Noaafactsheet.pdf Size of this preview: 463 × 599 pixels. Other resolution: 464 × 600 pixels. Go to page 1 2 Go! next page → next page → Full resolution ‎(1,275 × 1,650 pixels, file size: 551 KB, MIME type: application/pdf, 2 pages) File history Click on a date/time to view the file as it appeared at that time. Date/Time Thumbnail Dimensions User Comment current 15:55, 10 July 2013 Thumbnail for version as of 15:55, 10 July 2013 1,275 × 1,650, 2 pages (551 KB) Graham7781 (Talk | contribs) You cannot overwrite this file. Edit this file using an external application (See the setup instructions for more information) File usage The following page links to this file: Federal Memorandum of Understanding for Hydropower/Participating

185

File:Npsfactsheet.pdf | Open Energy Information  

Open Energy Info (EERE)

Npsfactsheet.pdf Npsfactsheet.pdf Jump to: navigation, search File File history File usage Metadata File:Npsfactsheet.pdf Size of this preview: 463 × 599 pixels. Other resolution: 464 × 600 pixels. Go to page 1 2 Go! next page → next page → Full resolution ‎(1,275 × 1,650 pixels, file size: 657 KB, MIME type: application/pdf, 2 pages) File history Click on a date/time to view the file as it appeared at that time. Date/Time Thumbnail Dimensions User Comment current 15:56, 10 July 2013 Thumbnail for version as of 15:56, 10 July 2013 1,275 × 1,650, 2 pages (657 KB) Graham7781 (Talk | contribs) You cannot overwrite this file. Edit this file using an external application (See the setup instructions for more information) File usage The following page links to this file: Federal Memorandum of Understanding for Hydropower/Participating

186

Computing Information Value from RDF Graph Properties  

Science Conference Proceedings (OSTI)

Information value has been implicitly utilized and mostly non-subjectively computed in information retrieval (IR) systems. We explicitly define and compute the value of an information piece as a function of two parameters, the first is the potential semantic impact the target information can subjectively have on its recipient's world-knowledge, and the second parameter is trust in the information source. We model these two parameters as properties of RDF graphs. Two graphs are constructed, a target graph representing the semantics of the target body of information and a context graph representing the context of the consumer of that information. We compute information value subjectively as a function of both potential change to the context graph (impact) and the overlap between the two graphs (trust). Graph change is computed as a graph edit distance measuring the dissimilarity between the context graph before and after the learning of the target graph. A particular application of this subjective information valuation is in the construction of a personalized ranking component in Web search engines. Based on our method, we construct a Web re-ranking system that personalizes the information experience for the information-consumer.

al-Saffar, Sinan; Heileman, Gregory

2010-11-08T23:59:59.000Z

187

FILES- COOLING TOWER PLUME MODELING  

E-Print Network (OSTI)

Ladies and Gentlemen:? In the referenced letter, Progress Energy Carolinas, Inc. (PEC) noted that the input and output' files for the modeling analysis for cooling tower plumes would be provided under a separate cover. due to the requirements for native file submittal (see NRC RAI # 5.3.3.1-1 and PGN RAI # H-295). The purpose of this letter is to submit these calculation native files. The supplemental information contained in the files on the attached CD is provided to support the NRC's review of the Shearon Harris Nuclear Power Plant Units 2 and 3 (HAR) Environmental Report (ER), but does not comply with the requirements for electronic submission in the NRC Guidance Document. The NRC staff requested the files be submitted in their native formats, required for utilization in the software employed to support the ER development. As discussed with the NRC's environmental project manager responsible for review of the HAR ER, the data provided on the attached CD are of a nature that is not easily convertible to PDF output files. Furthermore, PEC understands that converting the information to PDF output files; would not serve the underlying purpose of the submittal; i.e., to provide the raw, unprocessed data to enable reviewers to evaluate software used in the HAR application. Enclosure 1 provides a list of folders with the requested data files that are included on the attached CD (Attachment 5.3.3.1-1 SACTI Native Files). If you have any further questions, or need additional information, please contact Bob Kitchen at

Garry D. Mi Er

2009-01-01T23:59:59.000Z

188

File:(PECC) Special Program on Climate Change SUMMARY (english...  

Open Energy Info (EERE)

Up Search File Edit History Facebook icon Twitter icon File:(PECC) Special Program on Climate Change SUMMARY (english).pdf Jump to: navigation, search File File history File...

189

Happy Endings for Flip Graphs  

E-Print Network (OSTI)

Abstract. We show that the triangulations of a finite point set form a flip graph that can be embedded isometrically into a hypercube, if and only if the point set has no empty convex pentagon. Point sets of this type include convex subsets of lattices, points on two lines, and several other infinite families. As a consequence, flip distance in such point sets can be computed efficiently. 1

unknown authors

2006-01-01T23:59:59.000Z

190

Happy Endings for Flip Graphs  

E-Print Network (OSTI)

We show that the triangulations of a finite point set form a flip graph that can be embedded isometrically into a hypercube, if and only if the point set has no empty convex pentagon. Point sets of this type include intersections of lattices with convex sets, points on two lines, and several other infinite families. As a consequence, flip distance in such point sets can be computed efficiently.

David Eppstein

2007-01-01T23:59:59.000Z

191

Mixture graph based semi-supervised dimensionality reduction  

Science Conference Proceedings (OSTI)

Graph structure is crucial to graph based dimensionality reduction. A mixture graph based semi-supervised dimensionality reduction (MGSSDR) method with pairwise constraints is proposed. MGSSDR first constructs multiple diverse graphs on different random ... Keywords: dimensionality reduction, mixture graph, noise, pairwise constraints

G. X. Yu; H. Peng; J. Wei; Q. L. Ma

2010-12-01T23:59:59.000Z

192

Monthly Energy Review - March 2001  

Gasoline and Diesel Fuel Update (EIA)

98.00 98.00 per year (price subject to change without advance notice). Periodical postage paid at Washington, DC 20066-9998, and additional mailing offices. POSTMASTER: Send address changes to Monthly Energy Review, Energy Information Administration, EI-30, 1000 Independence Avenue, SW, Washington, DC 20585-0623. Printed with soy ink on recycled paper. Released for Printing: March 27, 2001 Electronic Access The Monthly Energy Review (MER) is available on the Energy Information Administration (EIA) website in a wide variety of formats at: http://www.eia.doe.gov/mer * Tables: ASCII text (TXT) and Portable Document Format (PDF) files. * Table Data Files: Excel (XLS) and Lotus (WK1). * Database Files (unrounded monthly data 1973 forward): Excel (XLS) files. * Graph pages, MER sections, and complete MER: PDF files. Complete MER PDF files are also available on the EIA "Energy

193

A transactional flash file system for microcontrollers  

Science Conference Proceedings (OSTI)

We present a transactional file system for flash memory devices. The file system is designed for embedded microcontrollers that use an on-chip or on-board NOR flash device as a persistent file store. The file system provides atomicity to arbitrary sequences ...

Eran Gal; Sivan Toledo

2005-04-01T23:59:59.000Z

194

API Requirements for Dynamic Graph Prediction  

SciTech Connect

Given a large-scale time-evolving multi-modal and multi-relational complex network (a.k.a., a large-scale dynamic semantic graph), we want to implement algorithms that discover patterns of activities on the graph and learn predictive models of those discovered patterns. This document outlines the application programming interface (API) requirements for fast prototyping of feature extraction, learning, and prediction algorithms on large dynamic semantic graphs. Since our algorithms must operate on large-scale dynamic semantic graphs, we have chosen to use the graph API developed in the CASC Complex Networks Project. This API is supported on the back end by a semantic graph database (developed by Scott Kohn and his team). The advantages of using this API are (i) we have full-control of its development and (ii) the current API meets almost all of the requirements outlined in this document.

Gallagher, B; Eliassi-Rad, T

2006-10-13T23:59:59.000Z

195

EIA-411 Data File  

Gasoline and Diesel Fuel Update (EIA)

Form EIA-411 Database Form EIA-411 Database Form EIA-411 - “Coordinated Bulk Power Supply Program Report” Data Coverage and Data Quality Release Date: December 22, 2011 Next Release Date: November 2012 In 2008, the Form EIA-411 became a mandatory collection for all schedules except No. 7 (Transmission Outages) which will continue to be a voluntary filing. The Form EIA-411 collects information about regional electricity supply and demand projections for a five-year advance period and information on the transmission system and supporting facilities. Editing of the data is done by each of the various reliability regions. The data collected on this form are used by the U.S. Department of Energy to monitor the current status and trends of the electric power industry and to evaluate the future reliability of the industry. Each of the reliability regions of the North American Electric Reliability Corporation (NERC) is asked to submit Form EIA-411 after compiling data furnished by utilities and other electricity suppliers within their regions to NERC. NERC then compiles and coordinates these reports and provides the data to the Energy Information Administration.

196

DOE FILE NO.  

Office of Legacy Management (LM)

DOE FILE NO. _ ffi~15970 ADMIN RCD _ COMM REF _ pRwm BttO" SVR.l!s.j tJF PLE7l:JJER Rf) TECHNICAL SERVICES DIVISION (TSD) BACKFIT (Documents dated prior to 1 November 1988) FUSRAP COMMUNICATIONS DISTRIBUTION DOEiORO TECHNICAL SERVICES DIVISION (CE·53) BECHTEL NATIONAL INC. - JOB 14501 RESPONSE TRACKING INFORMATION PRIMARY, I lOWED BY: (ORG) I (ORG) TARGET DATE I I CLOSING CCN COMPL DATE ( ( CLOSING REF I I lOWED BY: (ORG) I I I I ( (ORG) TARGET DATE I CLOSING CCN COMPL DATE CLOSING REF AFFECTED DOCUMENT _ ~~~=.k'£...,JUrE.......,"'"A.'-"-- TO _ _....I!1)o<..;J:...!!S'--'L'--- 'COMM DATE tll,I.1t'l'l ADDR CODE I IPJuCLOSES CCN WBS ....Id. iCU DL.::2.."'-- ......... J""I .... 5

197

File:Hydrofracking.pdf | Open Energy Information  

Open Energy Info (EERE)

Hydrofracking.pdf Hydrofracking.pdf Jump to: navigation, search File File history File usage File:Hydrofracking.pdf Size of this preview: 463 × 599 pixels. Other resolution: 464 × 600 pixels. Go to page 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 Go! next page → next page → Full resolution ‎(1,275 × 1,650 pixels, file size: 704 KB, MIME type: application/pdf, 19 pages) File history Click on a date/time to view the file as it appeared at that time. Date/Time Thumbnail Dimensions User Comment current 15:47, 9 February 2012 Thumbnail for version as of 15:47, 9 February 2012 1,275 × 1,650, 19 pages (704 KB) Graham7781 (Talk | contribs) You cannot overwrite this file. Edit this file using an external application (See the setup instructions for more information) File usage

198

LINEAR INEQUALITIES AMONG GRAPH INVARIANTS: USING ...  

E-Print Network (OSTI)

[30] P. Fowler, P. Hansen, G. Caporossi, and A. Soncini, Polyenes with maximum homo-lumo gap. (variable neighborhood search for extremal graphs 7),...

199

A copositive programming approach to graph partitioning  

E-Print Network (OSTI)

Aug 3, 2005 ... the random graph we can determine OPTMC by inspection, see column 3. The last 4 columns .... completeness. Freeman, San Francisco, 1979.

200

Graph algorithms in the titan toolkit.  

Science Conference Proceedings (OSTI)

Graph algorithms are a key component in a wide variety of intelligence analysis activities. The Graph-Based Informatics for Non-Proliferation and Counter-Terrorism project addresses the critical need of making these graph algorithms accessible to Sandia analysts in a manner that is both intuitive and effective. Specifically we describe the design and implementation of an open source toolkit for doing graph analysis, informatics, and visualization that provides Sandia with novel analysis capability for non-proliferation and counter-terrorism.

McLendon, William Clarence, III; Wylie, Brian Neil

2009-10-01T23:59:59.000Z

Note: This page contains sample records for the topic "xls files graphs" 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

Line graph explorer: scalable display of line graphs using Focus+Context  

Science Conference Proceedings (OSTI)

Scientific measurements are often depicted as line graphs. State-of-the-art high throughput systems in life sciences, telemetry and electronics measurement rapidly generate hundreds to thousands of such graphs. Despite the increasing volume and ubiquity ... Keywords: Focus+Context, line graph

Robert Kincaid; Heidi Lam

2006-05-01T23:59:59.000Z

202

Scalable modeling of real graphs using Kronecker multiplication  

Science Conference Proceedings (OSTI)

Given a large, real graph, how can we generate a synthetic graph that matches its properties, i.e., it has similar degree distribution, similar (small) diameter, similar spectrum, etc? We propose to use "Kronecker graphs", which naturally obey ...

Jure Leskovec; Christos Faloutsos

2007-06-01T23:59:59.000Z

203

A combinatorial construction of almost-ramanujan graphs using the zig-zag product  

Science Conference Proceedings (OSTI)

Reingold, Vadhan and Wigderson [21] introduced the graph zig-zag product. This product combines a large graph and a small graph into one graph, such that the resulting graph inherits its size from the large graph, its degree from the small graph ... Keywords: expander graphs, zig-zag product

Avraham Ben-Aroya; Amnon Ta-Shma

2008-05-01T23:59:59.000Z

204

The Prospero File System User's Manual  

E-Print Network (OSTI)

Introduction The Prospero file system is based on the Virtual System Model[1, 2, 3, 4]. It differs from traditional distributed file systems in several ways. In traditional file systems, the mapping of names to files is the same for all users. Prospero supports user centered naming: users construct their own view of the files that are accessible. The mapping from names to files is controlled by this view. Objects may be organized in multiple ways and the same object may may appear in different virtual systems, or even with multiple names in the same virtual system. Prospero provides several mechanisms to support customization. Among them are the union link and the filter. Directories can contain references to files and other directories that are stored on remote nodes. This allows distribution at a much finer level of granularity than is possible in traditional distributed file systems. 2 The Directory Mechanism In Prospero, the global file system consists of

B. Clifford Neuman

1991-01-01T23:59:59.000Z

205

Important Filing Information | Department of Energy  

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

Important Filing Information Important Filing Information Important Filing Information Filing Information The Office of Hearings and Appeals (OHA) encourages electronic filing of submissions, by e-mail or by telefax. OHA's e-mail address for filing submissions is OHA.filings@hq.doe.gov; the OHA telefax number is (202) 287-1415. Note, however, that because of signature issues, we may ask you to file a signed original of a document. We will send an acknowledgment (by letter or e-mail) upon our receipt of all principal pleadings. If you choose to file by regular mail, we caution that under governmental security procedures now in place, the U.S. Postal Service randomly selects items of first class mail addressed to OHA for screening at a facility outside of OHA, e.g. for irradiation of potentially hazardous materials.

206

Anonymizing bipartite graph data using safe groupings  

Science Conference Proceedings (OSTI)

Private data often come in the form of associations between entities, such as customers and products bought from a pharmacy, which are naturally represented in the form of a large, sparse bipartite graph. As with tabular data, it is desirable to be able ... Keywords: Graph, Microdata, Privacy, Query answering

Graham Cormode; Divesh Srivastava; Ting Yu; Qing Zhang

2010-02-01T23:59:59.000Z

207

Expressing graph algorithms using generalized active messages  

Science Conference Proceedings (OSTI)

Recently, graph computation has emerged as an important class of high-performance computing application whose characteristics differ markedly from those of traditional, compute-bound, kernels. Libraries such as BLAS, LAPACK, and others have been successful ... Keywords: active messages, parallel graph algorithms, parallel programming models

Nick Edmonds; Jeremiah Willcock; Andrew Lumsdaine

2013-08-01T23:59:59.000Z

208

Improved call graph comparison using simulated annealing  

Science Conference Proceedings (OSTI)

The amount of suspicious binary executables submitted to Anti-Virus (AV) companies are in the order of tens of thousands per day. Current hash-based signature methods are easy to deceive and are inefficient for identifying known malware that have undergone ... Keywords: call graph, graph edit distance, malware, simulated annealing, static analysis

Orestis Kostakis; Joris Kinable; Hamed Mahmoudi; Kimmo Mustonen

2011-03-01T23:59:59.000Z

209

Quantum Algorithms for Graph Problems -- A Survey  

E-Print Network (OSTI)

In this survey we give an overview about important methods to construct quantum algorithms and quantum lower bounds for graph problems. We show how to use these methods, and we give a summary about the quantum complexity of the most important graph problems. At the end of our paper, we give some interesting questions in this research area.

Sebastian Drn

2006-01-01T23:59:59.000Z

210

Oriented unicyclic graphs with extremal skew energy  

E-Print Network (OSTI)

Let $\\G$ be an oriented graph of order $n$ and $\\a_1,\\a_2,..., \\a_n$ denote all the eigenvalues of the skew-adjacency matrix of $\\G.$ The skew energy $\\displaystyle{\\cal E}_s(\\G)= \\sum_{i=1}^{n} |\\a_i|.$ In this paper, the oriented unicyclic graphs with minimal and maximal skew energy are determined.

Yaoping, Hou; Chongyan, Zhang

2011-01-01T23:59:59.000Z

211

Graph mining: Laws, generators, and algorithms  

Science Conference Proceedings (OSTI)

How does the Web look? How could we tell an abnormal social network from a normal one? These and similar questions are important in many fields where the data can intuitively be cast as a graph; examples range from computer networks to sociology to biology ... Keywords: Generators, graphs, patterns, social networks

Deepayan Chakrabarti; Christos Faloutsos

2006-06-01T23:59:59.000Z

212

Inflo: collaborative reasoning via open calculation graphs  

Science Conference Proceedings (OSTI)

Inflo is a web tool that introduces new ways to collaboratively construct and deconstruct logical arguments drawn as visual dataflow graphs. Inflo graphs are dynamic: nodes are logical propositions that can contain computations based on ... Keywords: collaboration, decision making, knowledge curation

Jonathan Lung; Steve Easterbrook

2012-02-01T23:59:59.000Z

213

Generating random graphs with large girth  

Science Conference Proceedings (OSTI)

We present a simple and efficient algorithm for randomly generating simple graphs without small cycles. These graphs can be used to design high performance Low-Density Parity-Check (LDPC) codes. For any constant k, ? ? 1/2k(k ...

Mohsen Bayati; Andrea Montanari; Amin Saberi

2009-01-01T23:59:59.000Z

214

Collaborative robotic instruction: A graph teaching experience  

Science Conference Proceedings (OSTI)

Graphing is a key skill in the study of Physics. Drawing and interpreting graphs play a key role in the understanding of science, while the lack of these has proved to be a handicap and a limiting factor in the learning of scientific concepts. It has ... Keywords: Face-to-face computer supported collaborative learning, Intelligent tutoring systems, Interactive learning environments, Robotic assisted teaching

Rubn Mitnik; Matas Recabarren; Miguel Nussbaum; Alvaro Soto

2009-09-01T23:59:59.000Z

215

File:Cammetst 58.pdf | Open Energy Information  

Open Energy Info (EERE)

Cammetst 58.pdf Jump to: navigation, search File File history File usage Meteorology: map of Central America selected meteorological stations and elevation from NREL Size of this...

216

File:NREL-africa-glo.pdf | Open Energy Information  

Open Energy Info (EERE)

glo.pdf Jump to: navigation, search File File history File usage Africa - Annual Global Horizontal Solar Radiation (PDF) Size of this preview: 776 600 pixels. Full resolution...

217

File:09NVAStateEnvironmentalProcess.pdf | Open Energy Information  

Open Energy Info (EERE)

file using an external application (See the setup instructions for more information) File usage The following page links to this file: GRRSection 9-NV-a - State Environmental...

218

File:NREL-camdirann.pdf | Open Energy Information  

Open Energy Info (EERE)

camdirann.pdf Jump to: navigation, search File File history File usage Central America - Annual Direct Normal Solar Radiation Size of this preview: 776 600 pixels. Full...

219

Bond Graph Modeling Of Variable Structure Systems  

E-Print Network (OSTI)

The problem of describing variable structure models in a compact, object--oriented fashion is revisited and analyzed from the perspective of bond graph modeling. Traditionally, bond graphs have always been used to describe continuous-- time physical processes with a fixed structure. Yet, this paper shall demonstrate that bond graphs are equally suitable to describe variable structure models as fixed structure models. Moreover, a bond graph description of variable structure models can teach us a lot about the essential properties of variable structure models, properties that are not easily visible when other modeling approaches are taken. The paper discusses issues related to causality reassignment and conditional index changes as a consequence of switching in a physical system. Keywords: Bond graphs, variable structure system, computational causality, conditional index change, switching, object--oriented modeling, Dymola. INTRODUCTION When the causality strokes were added to the forme...

Franois E. Cellier; Martin Otter; Hilding Elmqvist

1995-01-01T23:59:59.000Z

220

Feature Tracking Using Reeb Graphs  

Science Conference Proceedings (OSTI)

Tracking features and exploring their temporal dynamics can aid scientists in identifying interesting time intervals in a simulation and serve as basis for performing quantitative analyses of temporal phenomena. In this paper, we develop a novel approach for tracking subsets of isosurfaces, such as burning regions in simulated flames, which are defined as areas of high fuel consumption on a temperature isosurface. Tracking such regions as they merge and split over time can provide important insights into the impact of turbulence on the combustion process. However, the convoluted nature of the temperature isosurface and its rapid movement make this analysis particularly challenging. Our approach tracks burning regions by extracting a temperature isovolume from the four-dimensional space-time temperature field. It then obtains isosurfaces for the original simulation time steps and labels individual connected 'burning' regions based on the local fuel consumption value. Based on this information, a boundary surface between burning and non-burning regions is constructed. The Reeb graph of this boundary surface is the tracking graph for burning regions.

Weber, Gunther H.; Bremer, Peer-Timo; Day, Marcus S.; Bell, John B.; Pascucci, Valerio

2010-08-02T23:59:59.000Z

Note: This page contains sample records for the topic "xls files graphs" 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

Multithreaded Algorithms for Graph Coloring  

SciTech Connect

Graph algorithms are challenging to parallelize when high performance and scalability are primary goals. Low concurrency, poor data locality, irregular access pattern, and high data access to computation ratio are among the chief reasons for the challenge. The performance implication of these features is exasperated on distributed memory machines. More success is being achieved on shared-memory, multi-core architectures supporting multithreading. We consider a prototypical graph problem, coloring, and show how a greedy algorithm for solving it can be e*ectively parallelized on multithreaded architectures. We present in particular two di*erent parallel algorithms. The first relies on speculation and iteration, and is suitable for any shared-memory, multithreaded system. The second uses data ow principles and is targeted at the massively multithreaded Cray XMT system. We benchmark the algorithms on three di*erent platforms and demonstrate scalable runtime performance. In terms of quality of solution, both algorithms use nearly the same number of colors as the serial algorithm.

Catalyurek, Umit V.; Feo, John T.; Gebremedhin, Assefaw H.; Halappanavar, Mahantesh; Pothen, Alex

2012-10-21T23:59:59.000Z

222

Metadata Efficiency in Versioning File Systems  

Science Conference Proceedings (OSTI)

Versioning file systems retain earlier versions of modified files, allowing recovery from user mistakes or system corruption. Unfortunately, conventional versioning systems do not efficiently record large numbers of versions. In particular, versioned ...

Craig A. N. Soules; Garth R. Goodson; John D. Strunk; Gregory R. Ganger

2003-03-01T23:59:59.000Z

223

Metadata efficiency in versioning file systems  

Science Conference Proceedings (OSTI)

Versioning file systems retain earlier versions of modified files, allowing recovery from user mistakes or system corruption. Unfortunately, conventional versioning systems do not efficiently record large numbers of versions. In particular, versioned ...

Craig A. N. Soules; Garth R. Goodson; John D. Strunk; Gregory R. Ganger

2003-03-01T23:59:59.000Z

224

DOE-2 Input File From WINDOW  

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

an EnergyPlus input file from WINDOW 5 Last update: 12232008 01:54 PM Creating an EnergyPlus Input File for One Window In the WINDOW Window Library, which defines a complete...

225

DOE-2 Input File From WINDOW  

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

a DOE2 input file from WINDOW 5 Last update: 02012008 01:19 PM Creating a DOE-2 Input File for One Window In the WINDOW Window Library, which defines a complete window including...

226

OHA Product Efficiency Cases Archive File  

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

This is a archive file of our Product Efficiency decisions, Please download this file to your local computer and use the build in adobe search feature. Individual cases are listed in the bookmark...

227

Network File System (NFS) version 4 Protocol  

Science Conference Proceedings (OSTI)

The Network File System (NFS) version 4 is a distributed filesystem protocol which owes heritage to NFS protocol version 2, RFC 1094, and version 3, RFC 1813. Unlike earlier versions, the NFS version 4 protocol supports traditional file access while ...

S. Shepler; B. Callaghan; D. Robinson; R. Thurlow; C. Beame; M. Eisler; D. Noveck

2003-04-01T23:59:59.000Z

228

OHA Worker Appeal Cases Archive File  

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

This is a archive file of our Worker Appeal decisions, Please download this file to your local computer and use the build in adobe search feature. Individual cases are listed in the bookmark...

229

File:Bureauofreclamationfactsheet.pdf | Open Energy Information  

Open Energy Info (EERE)

Bureauofreclamationfactsheet.pdf Bureauofreclamationfactsheet.pdf Jump to: navigation, search File File history File usage Metadata File:Bureauofreclamationfactsheet.pdf Size of this preview: 463 × 599 pixels. Other resolution: 464 × 600 pixels. Go to page 1 2 Go! next page → next page → Full resolution ‎(1,275 × 1,650 pixels, file size: 663 KB, MIME type: application/pdf, 2 pages) File history Click on a date/time to view the file as it appeared at that time. Date/Time Thumbnail Dimensions User Comment current 15:54, 10 July 2013 Thumbnail for version as of 15:54, 10 July 2013 1,275 × 1,650, 2 pages (663 KB) Graham7781 (Talk | contribs) 15:54, 10 July 2013 Thumbnail for version as of 15:54, 10 July 2013 1,275 × 1,650, 2 pages (663 KB) Graham7781 (Talk | contribs) You cannot overwrite this file.

230

Global Scratch File System at NERSC  

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

Scratch Scratch Global Scratch File System Overview The global scratch file system (or "global scratch") can be accessed by multiple NERSC systems. Its default quota is much larger than the Global Home quota, so it can be used to temporarily store large amounts of data. This file system is periodically purged. Platforms Using Global Scratch The global scratch file system is available on all NERSC systems except PDSF. Quotas Default global scratch quotas are 20 TB and 2,000,000 inodes. If you need more than that, fill out the Disk Quota Change Request Form. Purging Yes, files in global scratch file system are subject to purging. Backup No, Files in global scratch file system are not backed up. Environment Variable You can reference your personal scratch directory in global scratch as

231

File:PoliticsofFracking.pdf | Open Energy Information  

Open Energy Info (EERE)

PoliticsofFracking.pdf Jump to: navigation, search File File history File usage File:PoliticsofFracking.pdf Size of this preview: 463 599 pixels. Other resolution: 464 600...

232

File:04UTAStateExplorationProcess.pdf | Open Energy Information  

Open Energy Info (EERE)

UTAStateExplorationProcess.pdf Jump to: navigation, search File File history File usage File:04UTAStateExplorationProcess.pdf Size of this preview: 463 599 pixels. Other...

233

Image segmentation by iterated region merging with localized graph cuts  

Science Conference Proceedings (OSTI)

This paper presents an iterated region merging-based graph cuts algorithm which is a novel extension of the standard graph cuts algorithm. Graph cuts addresses segmentation in an optimization framework and finds a globally optimal solution to a wide ... Keywords: Graph cuts, Image segmentation, Region merging

Bo Peng; Lei Zhang; David Zhang; Jian Yang

2011-10-01T23:59:59.000Z

234

On the density of a graph and its blowup  

Science Conference Proceedings (OSTI)

It is well known that, of all graphs with edge-density p, the random graph G(n,p) contains the smallest density of copies of K"t","t, the complete bipartite graph of size 2t. Since K"t","t is a t-blowup of an edge, the following intriguing open question ... Keywords: Blowup, Graph density, Triangle density

Asaf Shapira; Raphael Yuster

2010-11-01T23:59:59.000Z

235

Theoretical underpinnings for maximal clique enumeration on perturbed graphs  

Science Conference Proceedings (OSTI)

The problem of enumerating the maximal cliques of a graph is a computationally expensive problem with applications in a number of different domains. Sometimes the benefit of knowing the maximal clique enumeration (MCE) of a single graph is worth investing ... Keywords: Graph algorithms, Graph perturbation theory, Maximal clique enumeration, Uncertain and noisy data

William Hendrix; Matthew C. Schmidt; Paul Breimyer; Nagiza F. Samatova

2010-06-01T23:59:59.000Z

236

The depleted hydrogen atoms in chemical graph theory  

Science Conference Proceedings (OSTI)

A new algorithm which explicitly describes the depleted hydrogen atoms is proposed for chemical graph computations, and especially for molecular connectivity model studies. The new algorithm continues to be centred on the concepts of complete graphs ... Keywords: General chemical graphs, complete graphs, hydrogen perturbation, molecular connectivity computations

Lionello Pogliani

2008-12-01T23:59:59.000Z

237

Bond graph modeling of centrifugal compressor system  

E-Print Network (OSTI)

system, active surge control. A novel method of modeling centrifugal compression systems for surge control purposes by using bond graphs is presented. By using the bond graph method, we get a simple description of compression systems based on physical phenomena and it is straight forward to get the dynamic equations. It is demonstrated that several active surge control methods can be represented by the same bond graph. It is also shown how methods for active surge control can be classified using energy flow in terms of upstream energy injection or downstream energy dissipation. A model of a compression system with recycle flow is derived in this work. 1.

Nur Uddin; Jan Tommy Gravdahl

2012-01-01T23:59:59.000Z

238

File:Methane.pdf | Open Energy Information  

Open Energy Info (EERE)

Methane.pdf Methane.pdf Jump to: navigation, search File File history File usage File:Methane.pdf Size of this preview: 448 × 600 pixels. Go to page 1 2 3 4 5 Go! next page → next page → Full resolution ‎(1,218 × 1,630 pixels, file size: 929 KB, MIME type: application/pdf, 5 pages) File history Click on a date/time to view the file as it appeared at that time. Date/Time Thumbnail Dimensions User Comment current 15:51, 9 February 2012 Thumbnail for version as of 15:51, 9 February 2012 1,218 × 1,630, 5 pages (929 KB) Graham7781 (Talk | contribs) You cannot overwrite this file. Edit this file using an external application (See the setup instructions for more information) File usage The following page links to this file: Hydraulic Fracturing Retrieved from "http://en.openei.org/w/index.php?title=File:Methane.pdf&oldid=404017"

239

Rapid file system development using ptrace  

Science Conference Proceedings (OSTI)

Developing kernel-level file systems is a difficult task that requires a significant time investment. For experimental file systems, it is desirable to develop a prototype before investing the time required to develop a kernel-level file system. We have ... Keywords: monitors, rapid prototyping

Richard P. Spillane; Charles P. Wright; Gopalan Sivathanu; Erez Zadok

2007-06-01T23:59:59.000Z

240

Extending ACID semantics to the file system  

Science Conference Proceedings (OSTI)

An organization's data is often its most valuable asset, but today's file systems provide few facilities to ensure its safety. Databases, on the other hand, have long provided transactions. Transactions are useful because they provide atomicity, consistency, ... Keywords: File system transactions, databases, file systems, ptrace monitors, recoverable memory

Charles P. Wright; Richard Spillane; Gopalan Sivathanu; Erez Zadok

2007-06-01T23:59:59.000Z

Note: This page contains sample records for the topic "xls files graphs" 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

Rapid file system development using ptrace  

Science Conference Proceedings (OSTI)

Developing kernel-level file systems is a difficult task that requires a significant time investment. For experimental file systems, it is desirable to develop a prototype before investing the time required to develop a kernel-level file system. We have ...

Richard P. Spillane; Charles P. Wright; Gopalan Sivathanu; Erez Zadok

2007-06-01T23:59:59.000Z

242

File:600.pdf | Open Energy Information  

Open Energy Info (EERE)

.pdf .pdf Jump to: navigation, search File File history File usage File:600.pdf Size of this preview: 463 × 599 pixels. Other resolution: 464 × 600 pixels. Go to page 1 2 3 4 5 6 7 Go! next page → next page → Full resolution ‎(1,275 × 1,650 pixels, file size: 497 KB, MIME type: application/pdf, 7 pages) File history Click on a date/time to view the file as it appeared at that time. Date/Time Thumbnail Dimensions User Comment current 11:53, 5 October 2012 Thumbnail for version as of 11:53, 5 October 2012 1,275 × 1,650, 7 pages (497 KB) Dklein2012 (Talk | contribs) You cannot overwrite this file. Edit this file using an external application (See the setup instructions for more information) File usage There are no pages that link to this file. Retrieved from "http://en.openei.org/w/index.php?title=File:600.pdf&oldid=52071

243

Application Filing Requirements for Natural Gas Pipeline Construction...  

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

Application Filing Requirements for Natural Gas Pipeline Construction Projects (Wisconsin) Application Filing Requirements for Natural Gas Pipeline Construction Projects...

244

"Annual Electric Power Industry Report (EIA-861 data file)  

U.S. Energy Information Administration (EIA)

ELECTRICITY DETAILED SURVEY DATA FILES: Electric power sales, revenue, and energy efficiency Form EIA-861 detailed data files ...

245

Upper oriented chromatic number of undirected graphs and oriented colorings of product graphs  

E-Print Network (OSTI)

The oriented chromatic number of an oriented graph $\\vec G$ is the minimum order of an oriented graph $\\vev H$ such that $\\vec G$ admits a homomorphism to $\\vev H$. The oriented chromatic number of an undirected graph $G$ is then the greatest oriented chromatic number of its orientations. In this paper, we introduce the new notion of the upper oriented chromatic number of an undirected graph $G$, defined as the minimum order of an oriented graph $\\vev U$ such that every orientation $\\vec G$ of $G$ admits a homomorphism to $\\vec U$. We give some properties of this parameter, derive some general upper bounds on the ordinary and upper oriented chromatic numbers of Cartesian, strong, direct and lexicographic products of graphs, and consider the particular case of products of paths.

Sopena, Eric

2010-01-01T23:59:59.000Z

246

Semiregular Factorization of Simple Graphs A. J. W. Hilton  

E-Print Network (OSTI)

]. A (d, d + 1)-graph is said to be semiregular. An (r, r + 1)-factorization of a graph is a decomposition of the graph into edge-disjoint (r, r + 1)-factors. We discuss here the state of knowledge about (r, r +1)-factorizations of d-regular graphs and of (d, d + 1)-graphs. For r, s 0, let (r, s) be the least integer

Wojciechowski, Jerzy

247

Monthly Energy Review - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Carbon Dioxide Emissions From Energy Consumption: 12.1 by Source: PDF XLS CSV GRAPH: 12.2 Residential Sector: PDF XLS CSV GRAPH: 12.3 Commercial Sector:

248

The Gram dimension of a graph  

E-Print Network (OSTI)

be a Gram representation of Xi and let U an orthogonal matrix mapping u. (1) j to u. (2) ...... On the Shannon capacity of a graph IEEE Trans. Inform. Th. IT-25:.

249

Graph Invariants and Large Cycles - a Survey  

E-Print Network (OSTI)

Graph invariants are the best and single tools for investigation of abstract structures of graphs. They, combined in convenient relations, carry global and general information about a graph and its various substructures (cycle structures, factors, colorings, coverings, and so on). In this survey paper we have attempted to bring together all direct (pure) relations between basic invariants of a graph and its large cycle structures, perhaps the most important cycle structures, namely Hamilton, longest, dominating and some generalized cycles including Hamilton and dominating cycles as special cases. These very few relations actually form a source (basis) from which nearly all possible hamiltonian results can be developed further based on generalized and extended invariants, extended list of path or cycle structures and additional structural limitations.

Nikoghosyan, Zh G

2010-01-01T23:59:59.000Z

250

Electronic tools for designing charts and graphs  

E-Print Network (OSTI)

This thesis explores the issues involved in designing an interactive chart and graph making system, especially tailored to the needs of the graphic designer. It defines a set of user interface requirements and describe the ...

Jones, Mary, M.S.V.S. Massachusetts Institute of Technology

1983-01-01T23:59:59.000Z

251

Continuous Time Group Discovery in Dynamic Graphs  

Science Conference Proceedings (OSTI)

With the rise in availability and importance of graphs and networks, it has become increasingly important to have good models to describe their behavior. While much work has focused on modeling static graphs, we focus on group discovery in dynamic graphs. We adapt a dynamic extension of Latent Dirichlet Allocation to this task and demonstrate good performance on two datasets. Modeling relational data has become increasingly important in recent years. Much work has focused on static graphs - that is fixed graphs at a single point in time. Here we focus on the problem of modeling dynamic (i.e. time-evolving) graphs. We propose a scalable Bayesian approach for community discovery in dynamic graphs. Our approach is based on extensions of Latent Dirichlet Allocation (LDA). LDA is a latent variable model for topic modeling in text corpora. It was extended to deal with topic changes in discrete time and later in continuous time. These models were referred to as the discrete Dynamic Topic Model (dDTM) and the continuous Dynamic Topic Model (cDTM), respectively. When adapting these models to graphs, we take our inspiration from LDA-G and SSN-LDA, applications of LDA to static graphs that have been shown to effectively factor out community structure to explain link patterns in graphs. In this paper, we demonstrate how to adapt and apply the cDTM to the task of finding communities in dynamic networks. We use link prediction to measure the quality of the discovered community structure and apply it to two different relational datasets - DBLP author-keyword and CAIDA autonomous systems relationships. We also discuss a parallel implementation of this approach using Hadoop. In Section 2, we review LDA and LDA-G. In Section 3, we review the cDTM and introduce cDTMG, its adaptation to modeling dynamic graphs. We discuss inference for the cDTM-G and details of our parallel implementation in Section 4 and present its performance on two datasets in Section 5 before concluding in Section 6.

Miller, K; Eliassi-Rad, T

2010-11-04T23:59:59.000Z

252

File:Susquehannariver.pdf | Open Energy Information  

Open Energy Info (EERE)

Susquehannariver.pdf Susquehannariver.pdf Jump to: navigation, search File File history File usage File:Susquehannariver.pdf Size of this preview: 776 × 600 pixels. Go to page 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 Go! next page → next page → Full resolution ‎(1,650 × 1,275 pixels, file size: 2.11 MB, MIME type: application/pdf, 24 pages) File history Click on a date/time to view the file as it appeared at that time. Date/Time Thumbnail Dimensions User Comment current 15:56, 9 February 2012 Thumbnail for version as of 15:56, 9 February 2012 1,650 × 1,275, 24 pages (2.11 MB) Graham7781 (Talk | contribs) You cannot overwrite this file. Edit this file using an external application (See the setup instructions for more information) File usage The following page links to this file:

253

Instructions to CBECS 1992 Microdata Files  

Gasoline and Diesel Fuel Update (EIA)

2 Public Data 2 Public Data 1992 CBECS Public Use Data The 18 Public Use Data files of the 1992 Commercial Buildings Energy Consumption Survey (CBECS) data are available in ASCII (i.e. CE92F01T.TXT) and dBASE (CE92F01D.DBF) formats. These files contain the 1992 CBECS basic data including building characteristics, energy consumption and expenditures, and temperature data. The files can be accessed below. The data have been compressed into zip files with an extension of zip. After downloading the files, they should be placed in a separate directory and expanded by using a pkunzip program (also available below). Readme.TXT Information on the 1992 CBECS Public Use Data C920105T.ZIP and C920105D.ZIP contain the following files: File 1: CE92F01T.TXT General Building Information

254

SEDS CSV File Documentation: Price and Expenditure  

Gasoline and Diesel Fuel Update (EIA)

Prices and Expenditures Prices and Expenditures The State Energy Data System (SEDS) comma-separated value (CSV) files contain the price and expenditure estimates shown in the tables located on the SEDS website. There are three files that contain estimates for all states and years. Prices contains the price estimates for all states and Expenditures contains the expenditure estimates for all states. The third file, Adjusted Consumption for Expenditure Calculations contains adjusted consumption estimates used in calculating expenditures (see Appendix E below). Zip files are also available for the large data files. In addition, there is a CSV file for each state, named with the two-letter U.S. Postal Code listed in Appendix A, as well as a file for the United States.

255

TO: FILE FROM: I SUBJECT:  

Office of Legacy Management (LM)

TO: FILE TO: FILE FROM: I .- SUBJECT: 9EEEW Pos$:&&~ rk/ErvlK& @orzb Current: Lov?r_ &%2J*l&o3?fi; Owner contacted 0 yes &no; if yes, date contacted . TYPE OF OPERATION ----------------- q Research & Development @ Facility Type 0 Production scale testing 0 Pilot Scale & rlanuf acturing 0 Bench Scale Process 0 University 0 Theoretical Studies 0 Research Organizatil 0 Sample SC Analysis 0 Government Sponsarec 0 Other -------------_ q Production 0 Disposal /Storage TYPE CIF CONTRACT ~------_~-~----_ q Prime 0 0 Subcontract& Other information (i.e. 0 Purchase Order + fixed fee, unit prier time 81 material, t+tc:)-- ------------w-----z-. Contract/Purchase Order #-&)A (c& YJ c -7 / -t 4,&>~c-~7~7------ --- -7

256

Splitting and Confirming Large File  

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

Splitting and Confirming Large File Splitting and Confirming Large File Name: Bradley C. Status: Student Age: 16 Location: N/A Country: N/A Date: June 2003 Question: I just calculated one billion digits of pi on my PC, how do I confirm them? I cannot access them because the file size is 1.28 GB, my ram is only 512 MB, meaning none of my word processor's will touch it. Is it possible to split the document, somehow? Then how do I confirm the digits? Replies: Checking the correctness of large numbers -- transcendental numbers like 'pi', or a large prime -- is not easy because there are many sources of error that are difficult to detect, or track down. Some, but by no means all are: 1. How "good" (that is convergent) is the algorithm? If, for example the algorithm is some sort of infinite series, there is always a truncation error, because you cannot compute an infinite number of terms in a finite amount of time. The further out you go in the algorithm, the more significant these errors become.

257

Improving accessibility to statistical graphs: the iGraph-Lite system  

Science Conference Proceedings (OSTI)

Information is often presented in graphical form. Unfortunately, current assistive technologies such as screen readers are not well-equipped to handle these representations. To provide accessibility to graphs published in ``The Daily" (Statistics Canada's ... Keywords: accessibility (blind and visually impaired), natural language interaction, statistical graphs

Leo Ferres; Petro Verkhogliad; Gitte Lindgaard; Louis Boucher; Antoine Chretien; Martin Lachance

2007-10-01T23:59:59.000Z

258

EIA-176 Electronic Filing System (EFS)  

Gasoline and Diesel Fuel Update (EIA)

EIA-176 Electronic Filing System (EFS) EIA-176 Electronic Filing System (EFS) Released: January 17, 2013 Background The Form EIA-176, "Annual Report of Natural and Supplemental Gas Supply and Disposition," is used to collect data on the supply and disposition of natural gas in the United States. These data are collected by the Energy Information Administration (EIA), U.S. Department of Energy (DOE), to fulfill its responsibilities for gathering and reporting energy data. Reporting on the Form EIA-176 is mandatory. Electronic Filing System The Form EIA-176 Electronic Filing System (EFS) provides respondents with an efficient and effective means for filing the form using a personal computer (PC). Respondents have a choice of submitting data via either secure file transfer or email. Hardware / Software Requirements

259

T-647: PHP File Upload Bug May Let Remote Users Overwrite Files on the  

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

7: PHP File Upload Bug May Let Remote Users Overwrite Files on 7: PHP File Upload Bug May Let Remote Users Overwrite Files on the Target System T-647: PHP File Upload Bug May Let Remote Users Overwrite Files on the Target System June 15, 2011 - 3:45pm Addthis PROBLEM: A vulnerability was reported in PHP. A remote user may be able to overwrite files on the target system. PLATFORM: PHP prior to 5.3.7 ABSTRACT: PHP is prone to a security-bypass vulnerability.Successful exploits will allow an attacker to delete files from the root directory, which may aid in further attacks. PHP 5.3.6 is vulnerable; other versions may also be affected. reference LINKS: PHP Security Notice PHP CVE-2011-2202 SecurityTracker Alert ID: 1025659 Secunia Advisory: SA44874 CVE-2011-2202 IMPACT ASSESSMENT: High Discussion: The vulnerability lies in the 'SAPI_POST_HANDLER_FUNC()' function in

260

File:Drillinghandbook.pdf | Open Energy Information  

Open Energy Info (EERE)

source History View New Pages Recent Changes All Special Pages Semantic SearchQuerying Get Involved Help Apps Datasets Community Login | Sign Up Search File Edit History Facebook...

Note: This page contains sample records for the topic "xls files graphs" 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

Surveyor / Gadzooks File Systems | Argonne Leadership Computing...  

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

IntrepidChallengerSurveyor Decommissioning of BGP Systems and Resources Introducing Challenger Quick Reference Guide System Overview Data Transfer Data Storage & File Systems...

262

Intrepid / Challenger / Eureka File Systems | Argonne Leadership...  

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

IntrepidChallengerSurveyor Decommissioning of BGP Systems and Resources Introducing Challenger Quick Reference Guide System Overview Data Transfer Data Storage & File Systems...

263

1997 RECS Public Use Data Files Page  

U.S. Energy Information Administration (EIA)

Lights, Doors, Windows, and Insulation: Data File (Size - 917 kilobytes) Date Released: 11-22-99: Codebook (Size - 49 kilobytes) Date Released: 11-22-99 ...

264

Evaluated nuclear-data file for niobium  

SciTech Connect

A comprehensive evaluated nuclear-data file for elemental niobium is provided in the ENDF/B format. This file, extending over the energy range 10/sup -11/-20 MeV, is suitable for comprehensive neutronic calculations, particulary those dealing with fusion-energy systems. It also provides dosimetry information. Attention is given to the internal consistancy of the file, energy balance, and the quantitative specification of uncertainties. Comparisons are made with experimental data and previous evaluated files. The results of integral tests are described and remaining outstanding problem areas are cited. 107 refs.

Smith, A.B.; Smith, D.L.; Howerton, R.J.

1985-03-01T23:59:59.000Z

265

MEMORANDUM I TO: FILE DATE  

Office of Legacy Management (LM)

MEMORANDUM MEMORANDUM I TO: FILE DATE -----_-_- FaOM: ~~,~hkcid!,~- ' ALTERNATE CITY: I\ptw)a.yk --~---_--___-~--~---______ STATE: I current: ------------_------_-~~~~~ if yes, date contacted ____ TYPE OF OPERATION -_---_---------__ 0 Research & Development 6 Facility Type 0 Production scale testing 0 Pilat Scale 0 Bench Scale Process 0 Theoretical Studies Sample $ rraductian & Analysis a Manufacturing I 0 University I (1 Research Organization 0 Government Sponao&ed Facility 0 Cither I ----e------y-------- 0 Disposal/Storage TYPE OF CONTRACT --~_----~__~~~-- ' 0 Prime q Subcontract& q Purchase Order cl Other informatian (i.e., cost + fixed fee, unit pri'ce, time & material, qtc) ------- --------------------~------ Contract/Purchase Order #

266

Organizing and managing personal electronic files: A mechanical engineer's perspective  

Science Conference Proceedings (OSTI)

This article deals with the organization and management of the computer files handled by mechanical engineers on their personal computers. In engineering organizations, a wide variety of electronic files (documents) are necessary to support both business ... Keywords: Engineers, directory and file naming conventions, file sharing and file recognition and recall, information management

B. J. Hicks; A. Dong; R. Palmer; H. C. Mcalpine

2008-09-01T23:59:59.000Z

267

EIA -Quarterly Coal Distribution  

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

Coal Distribution Coal Distribution Home > Coal> Quarterly Coal Distribution Back Issues Quarterly Coal Distribution Archives Release Date: June 27, 2013 Next Release Date: September 2013 The Quarterly Coal Distribution Report (QCDR) provides detailed quarterly data on U.S. domestic coal distribution by coal origin, coal destination, mode of transportation and consuming sector. All data are preliminary and superseded by the final Coal Distribution - Annual Report. Year/Quarters By origin State By destination State Report Data File Report Data File 2009 January-March pdf xls pdf xls April-June pdf xls pdf xls July-September pdf xls pdf October-December pdf xls pdf 2010 January-March pdf xls pdf xls April-June pdf xls pdf xls July-September pdf xls pdf xls

268

Graph clustering with network structure indices  

E-Print Network (OSTI)

Graph clustering has become ubiquitous in the study of relational data sets. We examine two simple algorithms: a new graphical adaptation of the k-medoids algorithm and the Girvan-Newman method based on edge betweenness centrality. We show that they can be effective at discovering the latent groups or communities that are defined by the link structure of a graph. However, both approaches rely on prohibitively expensive computations, given the size of modern relational data sets. Network structure indices (NSIs) are a proven technique for indexing network structure and efficiently finding short paths. We show how incorporating NSIs into these graph clustering algorithms can overcome these complexity limitations. We also present promising quantitative and qualitative evaluations of the modified algorithms on synthetic and real data sets. 1.

Matthew J. Rattigan; Marc Maier; David Jensen

2007-01-01T23:59:59.000Z

269

GRAPHS AND (Z2) k-ACTIONS  

E-Print Network (OSTI)

Abstract. Let (?, M n) be an effective smooth action of (Z2) k on an n-dimensional smooth closed connected manifold having a finite fixed set. One can associate to this action a regular graph of valency n. If the action is nonbounding one uses this graph to obtain a lower bound for the number of fixed points. Furthermore, this result is applied to a general nonbounding (Z2) k-action fixing a finite fixed set. With the help of graphs and the Kosniowski-Stong formula, up to cobordism all (Z2) k-actions fixing three isolated points (resp. four isolated points) are classified completely, and at the same time, the Smith problem for (Z2) k-actions fixing three isolated points (resp. four isolated points) is also solved. 1.

Zhi L

2005-01-01T23:59:59.000Z

270

Subgraphs of quasi-random oriented graphs  

E-Print Network (OSTI)

One cannot guarantee the presence of an oriented four-cycle in an oriented graph $D$ simply by demanding it has many edges, as an acyclic orientation of the complete graph on $n$ vertices has $\\binom{n}{2}$ edges -- the most possible -- but contains no oriented cycle. We show that a simple quasi-randomness condition on the orientation of $D$ does allow one to guarantee the presence of an oriented four-cycle. Significantly our results work even for sparse oriented graphs. Furthermore, we give examples which show that, in a sense, our result is best possible. We also prove a result concerning oriented six-cycles and a more general result in the case $D$ is dense. Finally, we raise a number of questions and conjectures related to these results.

Amini, Omid; Huc, Florian

2009-01-01T23:59:59.000Z

271

File  

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

1,"Alabama","Alabama","Electric Power Sector","Railroad",448583 1,"Alabama","Alabama","Electric Power Sector","Railroad",448583 2013,1,"Alabama","Alabama","Coke Plant","Railroad",71299 2013,1,"Alabama","Alabama","Industrial Plants Excluding Coke","Railroad",14493 2013,1,"Alabama","Alabama","Electric Power Sector","River",358269 2013,1,"Alabama","Alabama","Coke Plant","Truck",87126 2013,1,"Alabama","Alabama","Industrial Plants Excluding Coke","Truck",267108 2013,1,"Alabama","Indiana","Coke Plant","Railroad",164223 2013,1,"Alabama","Kentucky","Industrial Plants Excluding Coke","River",6042

272

File  

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

4,"Alabama","Alabama","Electric Power Sector","Railroad",802677 4,"Alabama","Alabama","Electric Power Sector","Railroad",802677 2012,4,"Alabama","Alabama","Coke Plant","Railroad",17349 2012,4,"Alabama","Alabama","Industrial Plants Excluding Coke","Railroad",22271 2012,4,"Alabama","Alabama","Electric Power Sector","River",384071 2012,4,"Alabama","Alabama","Electric Power Sector","Truck",39426 2012,4,"Alabama","Alabama","Coke Plant","Truck",144411 2012,4,"Alabama","Alabama","Industrial Plants Excluding Coke","Truck",252085 2012,4,"Alabama","Georgia","Electric Power Sector","Truck",6

273

File  

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

2013,2,"Alabama","Alabama","Coke Plant","Truck",94157 2013,2,"Alabama","Alabama","Electric Power Sector","Railroad",495478 2013,2,"Alabama","Alabama","Electric Power...

274

File  

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

2012,4,"Alabama","Alabama","Coke Plant","Truck",144411 2012,4,"Alabama","Alabama","Electric Power Sector","Railroad",802677 2012,4,"Alabama","Alabama","Electric Power...

275

File  

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

1,"Alabama","Alabama","Coke Plant","Railroad",8914 1,"Alabama","Alabama","Coke Plant","Railroad",8914 2012,1,"Alabama","Alabama","Coke Plant","Truck",174999 2012,1,"Alabama","Alabama","Electric Power Sector","Railroad",800913 2012,1,"Alabama","Alabama","Electric Power Sector","River",519184 2012,1,"Alabama","Alabama","Electric Power Sector","Truck",50499 2012,1,"Alabama","Alabama","Industrial Plants Excluding Coke","Railroad",35029 2012,1,"Alabama","Alabama","Industrial Plants Excluding Coke","Truck",240989 2012,1,"Alabama","Colorado","Electric Power Sector","Railroad",82497

276

File  

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

2,"Alabama","Alabama","Electric Power Sector","Railroad",495478 2,"Alabama","Alabama","Electric Power Sector","Railroad",495478 2013,2,"Alabama","Alabama","Coke Plant","Railroad",116028 2013,2,"Alabama","Alabama","Industrial Plants Excluding Coke","Railroad",26409 2013,2,"Alabama","Alabama","Electric Power Sector","River",511695 2013,2,"Alabama","Alabama","Industrial Plants Excluding Coke","River",1588 2013,2,"Alabama","Alabama","Electric Power Sector","Truck",58856 2013,2,"Alabama","Alabama","Coke Plant","Truck",94157 2013,2,"Alabama","Alabama","Industrial Plants Excluding Coke","Truck",272760

277

File  

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

1,"Alabama","Alabama","Coke Plant","Railroad",71299 1,"Alabama","Alabama","Coke Plant","Railroad",71299 2013,1,"Alabama","Alabama","Coke Plant","Truck",87126 2013,1,"Alabama","Alabama","Electric Power Sector","Railroad",448583 2013,1,"Alabama","Alabama","Electric Power Sector","River",358269 2013,1,"Alabama","Alabama","Industrial Plants Excluding Coke","Railroad",14493 2013,1,"Alabama","Alabama","Industrial Plants Excluding Coke","Truck",267108 2013,1,"Alabama","Colorado","Electric Power Sector","Railroad",203781 2013,1,"Alabama","Illinois","Electric Power Sector","River",129358

278

File  

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

1,"Alabama","Alabama","Electric Power Sector","Railroad",800913 1,"Alabama","Alabama","Electric Power Sector","Railroad",800913 2012,1,"Alabama","Alabama","Coke Plant","Railroad",8914 2012,1,"Alabama","Alabama","Industrial Plants Excluding Coke","Railroad",35029 2012,1,"Alabama","Alabama","Electric Power Sector","River",519184 2012,1,"Alabama","Alabama","Electric Power Sector","Truck",50499 2012,1,"Alabama","Alabama","Coke Plant","Truck",174999 2012,1,"Alabama","Alabama","Industrial Plants Excluding Coke","Truck",240989 2012,1,"Alabama","Georgia","Industrial Plants Excluding Coke","Truck",419

279

Long alternating cycles in edge-colored complete graphs  

Science Conference Proceedings (OSTI)

Let Knc denote a complete graph on n vertices whose edges are colored in an arbitrary way. And let ?(Knc) denote the maximum number of edges of the same ... Keywords: alternating cycle, color degree, edge-colored graph

Hao Li; Guanghui Wang; Shan Zhou

2007-08-01T23:59:59.000Z

280

FASTEST MIXING MARKOV CHAIN ON GRAPHS WITH SYMMETRIES  

E-Print Network (OSTI)

We show how to exploit symmetries of a graph to efficiently compute the fastest mixing Markov chain on the graph (i.e., find the transition probabilities on the edges to minimize the second-largest eigenvalue modulus of ...

Xiao, Lin

Note: This page contains sample records for the topic "xls files graphs" 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

An empirical comparison of some approximate methods for graph coloring  

Science Conference Proceedings (OSTI)

The Graph Coloring Problem (GCP) is a classical NP-complete problem for which several approximate solution algorithms have been proposed: Brelaz algorithm, simulated annealing (SA), ant colony optimization (ACO). This paper reports empirical results ... Keywords: graph coloring, gravitational swarm

Israel Rebollo-Ruiz; Manuel Graa

2012-03-01T23:59:59.000Z

282

Computing maximum non-crossing matching in convex bipartite graphs  

Science Conference Proceedings (OSTI)

We consider computing a maximum non-crossing matching in convex bipartite graphs. For a convex bipartite graph of n vertices and m edges, we present an O (n logn ...

Danny Z. Chen; Xiaomin Liu; Haitao Wang

2012-05-01T23:59:59.000Z

283

Efficient algorithms for graph all-matching and containment search.  

E-Print Network (OSTI)

??Recent advances in database research have shown the potential of graph in modelling complicated data. Graph data have pervaded many modern applications including bio-informatics, chem-informatics, (more)

Zhu, Gaoping

2012-01-01T23:59:59.000Z

284

The cost of monotonicity in distributed graph searching  

E-Print Network (OSTI)

are placed at a particular vertex of the graph, called the homebase. Moreover, this sequence of moves must is aiming at clearing the whole network. Given a graph G and a homebase v0 V (G), the search problem

Ilcinkas, David

285

The cost of monotonicity in distributed graph searching  

E-Print Network (OSTI)

of the graph, called the homebase. Moreover, this sequence of moves must satisfy that recontamination never network. Given a graph G and a homebase v0 V (G), the search problem consists in designing a distributed

Paris-Sud XI, Université de

286

Using constraints to achieve stability in automatic graph layout algorithms  

Science Conference Proceedings (OSTI)

Automatic layout algorithms are commonly used when displaying graphs on the screen because they provide a nice drawing of the graph without user intervention. There are, however, a couple of disadvantages to automatic layout. Without user ...

Karl-Friedrich Bhringer; Frances Newbery Paulisch

1990-03-01T23:59:59.000Z

287

Sequoia tops Graph 500 list of 'big data' supercomputers  

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

ATL062113_graph ATL062113_graph 06/21/2013 The Livermore Lab's Sequoia supercomputer topped the biannual Graph 500 list of the world's fastest systems for "big data" this week. The Graph 500 benchmark measures the speed with which a supercomputer can "connect the dots" within a massive set of data. Sequoia traversed 15,363 connections per second. Sequoia tops Graph 500 list of 'big data' supercomputers Donald B Johnston, LLNL, (925) 423-4902, johnston19@llnl.gov LLNL's 20 petaflops Sequoia supercomputer has retained its No. 1 ranking on the Graph 500 list, a measure of a system's ability to conduct analytic calculations -- finding the proverbial needle in the haystack. An IBM Blue Gene Q system, Sequoia was able to traverse 15,363 giga edges per second on a scale of 40 graph (a graph with 2^40 vertices). The new

288

Image segmentation using quadtree-based similarity graph and normalized cut  

Science Conference Proceedings (OSTI)

The graph cuts in image segmentation have been widely used in recent years because it regards the problem of image partitioning as a graph partitioning issue, a well-known problem in graph theory. The normalized cut approach uses spectral graph properties ... Keywords: graph partitioning, image segmentation, quadtree, spectral graph

Marco Antonio Garcia De Carvalho; Anselmo Castelo Branco Ferreira; Andr Luis Costa

2010-11-01T23:59:59.000Z

289

THE OPERATOR FOR THE CHROMATIC NUMBER OF A GRAPH  

E-Print Network (OSTI)

We introduce an operator mapping any graph parameter ( ), nested between the stability number ...... Local chromatic number and Sperner capacity. ?ournal.

290

A hybrid parallel genetic algorithm approach for graph coloring  

Science Conference Proceedings (OSTI)

Graph-Coloring problem (GCP) deals with assigning labels (colors) to the vertices of a graph such that adjacent vertices do not get the same color. Coloring a graph with minimum number of colors is a well-known NP-hard problem. In this paper a new permutation ... Keywords: Graph coloring problem, message passing interface (MPI), migration model, parallel genetic algorithm, static wavelength assignment

S. N. Sivanandam; S. Sumathi; T. Hamsapriya

2005-08-01T23:59:59.000Z

291

Monthly Energy Review - June 2008  

Gasoline and Diesel Fuel Update (EIA)

Monthly Publications: Other monthly EIA reports are Petroleum Supply Monthly Publications: Other monthly EIA reports are Petroleum Supply Monthly, Petroleum Marketing Monthly, Natural Gas Monthly, Electric Power Monthly, and Inter- national Petroleum Monthly. For more information, contact the National Energy Information Center at 202-586-8800 or InfoCtr@eia.doe.gov. Electronic Access The MER is available on EIA's Web site in a variety of formats at: http://www.eia.doe.gov/mer. Complete MER, and individual MER sections: Portable Document Format (PDF) files. Individual table and graph pages: PDF files. Data files for individual tables: Excel (XLS) files and ASCII comma-delimited (CSV) files. Note: PDF files display selected annual and monthly data. Excel and CSV files display all avail- able annual and monthly data, often at a greater level of precision than the PDF files.

292

Hiroshi Ishikawa A Practical Introduction to Graph Cut  

E-Print Network (OSTI)

Technology Contents Overview / Brief history Energy minimization Graphs and their minimum cuts Energy Elevation map #12;History Probablistic methods (SA, ICM,...) have been used for energy minimization OR has Overview / Brief history Energy minimization Graphs and their minimum cuts Energy minimization via graph

Ishikawa, Hiroshi

293

Discovering informative connection subgraphs in multi-relational graphs  

Science Conference Proceedings (OSTI)

Discovering patterns in graphs has long been an area of interest. In most approaches to such pattern discovery either quantitative anomalies, frequency of substructure or maximum flow is used to measure the interestingness of a pattern. In this paper ... Keywords: multi-relational graphs, semantic pattern discovery in RDF graphs, subgraph discovery

Cartic Ramakrishnan; William H. Milnor; Matthew Perry; Amit P. Sheth

2005-12-01T23:59:59.000Z

294

Modeling molecular polarizabilities with graph-theoretical concepts  

Science Conference Proceedings (OSTI)

A model study of the molecular polarizabilities of a wide heterogeneous class of organic compounds was carried out. The model of this property was based on graph-theoretical molecular connectivity and pseudoconnectivity basis indices, including the corresponding ... Keywords: complete graphs, core electrons, graph-theoretical connectivity indices, molecular polarizabilities

Lionello Pogliani

2004-12-01T23:59:59.000Z

295

Kinetic and stationary point-set embeddability for plane graphs  

Science Conference Proceedings (OSTI)

We investigate a kinetic version of point-set embeddability. Given a plane graph G(V,E) where |V|=n, and a set P of n moving points where the trajectory of each point is an algebraic function of constant ... Keywords: kinetic algorithm, kinetic graph drawing, plane graph, point-set embeddability

Zahed Rahmati; Sue H. Whitesides; Valerie King

2012-09-01T23:59:59.000Z

296

A graph based method for faster display for distribution networks  

Science Conference Proceedings (OSTI)

This paper presents our logical display approach for Distribution Networks based on the concept of Microsoft graphs. We demonstrate that by using Microsoft graphs we do not have to redraw the circuits after each switching operation or after a change ... Keywords: algorithms, distribution, graphs, logical display, network systems

Mansoor Al-A'ali

2008-06-01T23:59:59.000Z

297

september2007.xls  

Gasoline and Diesel Fuel Update (EIA)

July 2007 Section 1. Commentary Electric Power Data According to the National Oceanic and Atmospheric Administration (NOAA), July 2007 brought record warmth to many of the states in the western U.S. However, cooler than average temperatures observed in the heavily populated eastern half of the country kept residential energy demand in the contiguous United States close to normal, with cooling degree days 1.2 percent below the average for the month of July. Due to the below normal temperatures observed in the heavily populated eastern United States, July 2007 electricity generation and retail sales of electricity were down when compared to July 2006. Retail sales of electricity was 1.6 percent lower when compared to July 2006, with residential retail sales decreasing the most at 4.9 percent. Furthermore, generation for electric

298

a1.xls  

Gasoline and Diesel Fuel Update (EIA)

2003 Commercial Buildings 2003 Commercial Buildings Energy Consumption Survey Detailed Tables October 2006 Energy Information Administration 2003 Commercial Buildings Energy Consumption Survey Detailed Tables Introduction................................................................................................................................ vii Change in Data Collection Procedures in Malls ........................................................................ viii Guide to the 2003 CBECS Detailed Tables............................................................................... ix Building Characteristics Tables All Buildings (Including Malls) Table A1. Summary Table for All Buildings (Including Malls) ............................................... 1 Table A2. Census Region, Number of Buildings and Floorspace for All Buildings

299

c19.xls  

Gasoline and Diesel Fuel Update (EIA)

14 14 56 96 7,449 3,633 7,397 15.3 15.4 13.0 Building Floorspace (Square Feet) 1,001 to 5,000 ................................... 17 7 12 696 437 857 24.1 15.7 14.0 5,001 to 10,000 ................................. 11 5 14 787 404 810 13.4 12.0 16.9 10,001 to 25,000 ............................... 11 10 13 1,267 831 1,232 8.9 11.7 10.3 25,001 to 50,000 ............................... 12 7 12 897 511 1,088 13.6 13.2 11.0 50,001 to 100,000 ............................. 16 5 12 1,314 374 922 12.1 12.7 13.3 100,001 to 200,000 ........................... 20 Q 13 1,096 Q 895 18.2 Q 14.5 200,001 to 500,000 ........................... 12 5 11 659 Q 827 18.4 14.3 13.5 Over 500,000 .................................... Q Q 9 Q Q 766 Q Q 12.4 Principal Building Activity Education .......................................... 15 6 11 1,198 640 1,027 12.8 9.4

300

P3.xls  

Gasoline and Diesel Fuel Update (EIA)

P3. Energy Production and Consumption Estimates in Trillion Btu, 2011 P3. Energy Production and Consumption Estimates in Trillion Btu, 2011 Alabama 1,401 1,931 530 Alaska 1,642 638 -1,004 Arizona 618 1,431 814 Arkansas 1,390 1,117 -273 California 2,625 7,858 5,234 Colorado 2,747 1,481 -1,266 Connecticut 197 742 545 Delaware 4 272 268 District of Columbia 0 180 180 Florida 524 4,217 3,693 Georgia 544 3,002 2,458 Hawaii 19 286 267 Idaho 180 526 345 Illinois 2,200 3,978 1,777 Indiana 1,063 2,869 1,806 Iowa 701 1,513 812 Kansas 780 1,162 382 Kentucky 2,841 1,911 -929 Louisiana 3,976 4,055 79 Maine 154 413 258 Maryland 273 1,426 1,153 Massachusetts 101 1,395 1,294 Michigan 673 2,803 2,130 Minnesota 429 1,867 1,438 Mississippi 441 1,163 723 Missouri 200 1,878 1,678 Montana 1,105 398 -707 Nebraska 397 871 475 Nevada 54 633 579 New Hampshire 130 292 162 New Jersey 387 2,438 2,052 New Mexico 2,261 688 -1,573 New York 873 3,615 2,742 North Carolina

Note: This page contains sample records for the topic "xls files graphs" 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

c3.xls  

Gasoline and Diesel Fuel Update (EIA)

trillion trillion Btu) per Building (million Btu) per Square Foot (thousand Btu) per Worker (million Btu) All Buildings* .................................. 4,645 64,783 13.9 5,820 1,253 89.8 79.9 Building Floorspace (Square Feet) 1,001 to 5,000 ................................... 2,552 6,789 2.7 672 263 98.9 67.6 5,001 to 10,000 ................................. 889 6,585 7.4 516 580 78.3 68.7 10,001 to 25,000 ............................... 738 11,535 15.6 776 1,052 67.3 72.0 25,001 to 50,000 ............................... 241 8,668 35.9 673 2,790 77.6 75.8 50,001 to 100,000 ............................. 129 9,057 70.4 759 5,901 83.8 90.0 100,001 to 200,000 ........................... 65 9,064 138.8 934 14,300 103.0 80.3 200,001 to 500,000 ........................... 25 7,176 289.0 725 29,189 101.0 105.3 Over 500,000 ....................................

302

september2010.xls  

Gasoline and Diesel Fuel Update (EIA)

July 2010 July 2010 Section 1. Commentary Electric Power Data The contiguous United States, as a whole, experienced temperatures that were significantly above average in July 2010. Accordingly, the total population-weighted cooling degree days for the United States were 19.9 percent above the July normal. Retail sales of electricity increased 9.5 percent compared to July 2009. Over the same period, the average U.S. retail price of electricity increased 1.3 percent. For the 12-month period ending July 2010, the U.S. average retail price of electricity decreased 1.4 percent over the previous 12-month period ending July 2009. In July 2010, total electric power generation in the United States increased 9.2 percent compared to July 2009. Over the same period, coal generation increased 12.4 percent, and natural gas generation increased 11.4 percent. Petroleum

303

february2006.xls  

Gasoline and Diesel Fuel Update (EIA)

and Stock Trends and Stock Trends Page 5 6. Month-to-Month Comparisons: Electric Power Retail Sales and Average Prices Page 6 7. Retail Sales Trends Page 7 8. Average Retail Price Trends Page 8 9. Heating and Cooling Degree Days Page 9 10. Documentation Page 10 Monthly Flash Estimates of Data for: December 2005 This report was prepared by the Energy Information Administration, the independent statistical and analytical agency within the U.S. Department of Energy. The information contained herein should be attributed to the Energy Information Administration and should not be construed as advocating or reflecting any policy of the Department of Energy or any other organization. For additional information, contact Orhan Yildiz at 202-287-1586, or at Orhan.Yildiz@eia.doe.gov.

304

c1.xls  

Gasoline and Diesel Fuel Update (EIA)

October 2006 October 2006 Next CBECS will be conducted in 2007 Primary Site All Buildings* .................................. 4,645 64,783 5,820 9,168 3,037 1,928 222 634 District Heat Table C1. Total Energy Consumption by Major Fuel for Non-Mall Buildings, 2003 All Buildings* Total Energy Consumption (trillion Btu) Number of Buildings (thousand) Floorspace (million square feet) Sum of Major Fuels Electricity Natural Gas Fuel Oil Climate Zone: 30-Year Average Under 2,000 CDD and -- More than 7,000 HDD ..................... 855 10,622 990 1,232 408 431 63 88 5,500-7,000 HDD ............................ 1,173 17,335 1,761 2,305 763 679 63 255 4,000-5,499 HDD ............................ 673 11,504 1,134 1,713 567 337 90 140 Fewer than 4,000 HDD ................... 1,276 15,739 1,213 2,259 748 358 6 101 2,000 CDD or More and --

305

february2007.xls  

Gasoline and Diesel Fuel Update (EIA)

Orhan Yildiz at 202-287-1586, or at Orhan.Yildiz@eia.doe.gov. Orhan Yildiz at 202-287-1586, or at Orhan.Yildiz@eia.doe.gov. Monthly Flash Estimates of Data for: December 2006 Section 1. Commentary Electric Power Data The National Oceanic and Atmospheric Administration (NOAA) Climatic Data Center reports 2006 as the warmest year on record for the contiguous United States, with El Niño contributing to milder winter temperatures. NOAA also reports that December 2006 was the fourth warmest December since 1895. (For more information see http://www.noaanews.noaa.gov/stories2007/s2772.htm.) As a consequence of the warmer weather, December 2006 generation lagged behind the December 2005 generation by 3.6 percent, although it increased 8.7 percent from November 2006. Mirroring generation, December 2006 retail sales of electricity were up 8.4

306

c29.xls  

Gasoline and Diesel Fuel Update (EIA)

51 51 162 149 4,704 2,797 5,016 32.2 57.9 29.7 Building Floorspace (Square Feet) 1,001 to 5,000 ................................... 29 18 Q 334 265 363 87.9 68.4 60.2 5,001 to 10,000 ................................. 23 Q Q 519 Q 496 44.2 Q 53.4 10,001 to 25,000 ............................... 14 38 22 514 630 748 28.1 61.1 29.0 25,001 to 50,000 ............................... 17 23 21 512 464 733 33.5 49.1 28.7 50,001 to 100,000 ............................. 18 Q 18 888 Q 730 20.5 Q 24.2 100,001 to 200,000 ........................... 16 Q 12 760 Q 651 21.5 Q 17.8 200,001 to 500,000 ........................... Q Q 14 470 Q 675 Q Q 20.8 Over 500,000 .................................... Q Q Q Q Q Q Q Q Q Principal Building Activity Education .......................................... 16 21 28 797 420 802 20.6 48.8 34.8 Food Sales .......................................

307

P5.xls  

Gasoline and Diesel Fuel Update (EIA)

P5. Energy Production Estimates in Trillion Btu, Ranked by State, 2011 P5. Energy Production Estimates in Trillion Btu, Ranked by State, 2011 Rank State State State State United States 22,057.2 United States d 26,489.9 United States e 11,965.0 United States 8,268.7 1 Wyoming 7,591.7 Texas 8,047.4 Texas 3,082.8 Illinois 1,002.7 2 West Virginia 3,321.1 Louisiana 3,240.2 Alaska 1,188.0 Pennsylvania 796.8 3 Kentucky 2,623.8 Wyoming 2,384.4 California 1,123.4 South Carolina 553.6 4 Pennsylvania 1,511.5 Oklahoma 2,163.4 North Dakota 887.3 New York 446.8 5 Illinois 864.2 Colorado 1,831.2 Oklahoma 444.8 North Carolina 424.1 6 Indiana 841.0 New Mexico 1,405.2 New Mexico 413.4 Texas 414.9 7 Montana 746.7 Pennsylvania 1,375.6 Louisiana 400.1 Alabama 411.8 8 Ohio 679.2 Arkansas 1,090.9 Wyoming 317.3 California 383.6 9 Texas 605.3 Utah 498.0 Kansas 240.7 New Jersey 351.7 10 Colorado 586.8 West Virginia 442.4 Colorado 226.9

308

june2007.xls  

Gasoline and Diesel Fuel Update (EIA)

April 2007 Section 1. Commentary Electric Power Data The overall temperature for the contiguous U.S. during April 2007 was 0.3ºF (0.2ºC) below the average temperature observed for the month of April over the 1971-2000 time period. A record cold outbreak was observed from April 4th to April 10th as record low temperatures were set in 1,200 locations across the contiguous U.S. before warmer weather returned later in the month. This cold snap was evident in the fact that heating degree days were 10.7 percent higher than normal as observed over the 1971-2000 time period, and 44.7 percent higher than what was recorded in April 2006. Consequently, retail sales of electricity for the month of April 2007 increased 2.7 percent compared to April 2006, while April 2007

309

b25.xls  

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

Space Space Heating Cooling Water Heating Cooking Manu- facturing All Buildings* .................................. 64,783 60,028 56,940 56,478 22,237 3,138 Building Floorspace (Square Feet) 1,001 to 5,000 ................................... 6,789 5,668 5,007 4,759 997 Q 5,001 to 10,000 ................................. 6,585 5,786 5,408 5,348 1,136 214 10,001 to 25,000 ............................... 11,535 10,387 9,922 9,562 1,954 472 25,001 to 50,000 ............................... 8,668 8,060 7,776 7,734 2,511 Q 50,001 to 100,000 ............................. 9,057 8,718 8,331 8,412 3,575 540 100,001 to 200,000 ........................... 9,064 8,710 8,339 8,300 3,991 473 200,001 to 500,000 ........................... 7,176 6,907 6,565 6,680 4,047 605 Over 500,000 .................................... 5,908 5,792

310

b13.xls  

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

4,645 4,645 824 277 71 370 622 597 Building Floorspace (Square Feet) 1,001 to 5,000 ................................... 2,552 503 119 37 152 434 294 5,001 to 10,000 ................................. 889 127 67 Q 104 100 110 10,001 to 25,000 ............................... 738 116 69 Q 83 66 130 25,001 to 50,000 ............................... 241 43 9 Q 27 17 27 50,001 to 100,000 ............................. 129 17 7 Q Q Q 21 100,001 to 200,000 ........................... 65 11 6 Q Q Q 8 200,001 to 500,000 ........................... 25 5 Q Q Q Q 4 Over 500,000 .................................... 7 2 Q Q N Q Q Year Constructed Before 1920 ...................................... 330 70 31 Q 65 Q 20 1920 to 1945 ..................................... 527 85 36 Q 52 90 39 1946 to 1959 ..................................... 562 75 45 Q 58 59 44 1960 to 1969 .....................................

311

b19.xls  

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

4,645 4,645 3,754 643 55 23 14 157 Building Floorspace (Square Feet) 1,001 to 5,000 ................................... 2,552 2,131 311 Q Q N 100 5,001 to 10,000 ................................. 889 720 136 Q N Q Q 10,001 to 25,000 ............................... 738 590 104 22 Q Q Q 25,001 to 50,000 ............................... 241 163 50 11 Q Q Q 50,001 to 100,000 ............................. 129 87 25 4 5 Q Q 100,001 to 200,000 ........................... 65 43 11 4 Q Q Q 200,001 to 500,000 ........................... 25 15 5 Q 1 2 Q Over 500,000 .................................... 7 3 1 Q Q 1 Q Principal Building Activity Education .......................................... 386 360 21 Q N N N Food Sales ....................................... 226 203 Q N N Q N Food Service ..................................... 297 270 26 Q N N N Health Care .......................................

312

b32.xls  

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

64,783 64,783 56,478 27,490 28,820 1,880 3,088 1,422 Building Floorspace (Square Feet) 1,001 to 5,000 ................................... 6,789 4,759 2,847 1,699 116 N 169 5,001 to 10,000 ................................. 6,585 5,348 2,821 2,296 Q Q 205 10,001 to 25,000 ............................... 11,535 9,562 4,809 4,470 265 Q 430 25,001 to 50,000 ............................... 8,668 7,734 3,924 4,055 Q Q Q 50,001 to 100,000 ............................. 9,057 8,412 3,659 5,005 Q 303 Q 100,001 to 200,000 ........................... 9,064 8,300 3,884 4,754 Q 822 Q 200,001 to 500,000 ........................... 7,176 6,680 2,722 4,076 Q 621 Q Over 500,000 .................................... 5,908 5,683 2,824 2,467 Q 1,064 N Principal Building Activity Education .......................................... 9,874 9,481 3,829

313

a1.xls  

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

Number of Buildings RSEs for Total Floorspace RSEs for Mean Square Feet per Building RSEs Not Available for Medians All Buildings .................................... 3.8 3.1 4.0 _ Building Floorspace (Square Feet) 1,001 to 5,000 ................................... 5.7 5.6 1.3 _ 5,001 to 10,000 ................................. 5.6 5.5 0.8 _ 10,001 to 25,000 ............................... 4.9 4.9 0.9 _ 25,001 to 50,000 ............................... 5.5 5.8 1.2 _ 50,001 to 100,000 ............................. 6.1 6.0 1.0 _ 100,001 to 200,000 ........................... 9.9 10.0 1.5 _ 200,001 to 500,000 ........................... 9.8 10.2 1.8 _ Over 500,000 .................................... 12.6 12.8 4.2 _ Principal Building Activity Education .......................................... 7.1

314

b8.xls  

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

4,645 4,645 330 527 562 579 731 707 876 334 Building Floorspace (Square Feet) 1,001 to 5,000 ................................... 2,552 174 315 331 298 350 438 481 165 5,001 to 10,000 ................................. 889 71 107 90 120 180 98 158 66 10,001 to 25,000 ............................... 738 55 64 90 95 122 103 151 58 25,001 to 50,000 ............................... 241 19 23 26 33 48 32 39 21 50,001 to 100,000 ............................. 129 7 9 14 22 16 20 28 13 100,001 to 200,000 ........................... 65 Q 5 8 8 10 10 15 8 200,001 to 500,000 ........................... 25 Q 4 2 3 4 4 4 2 Over 500,000 .................................... 7 Q 1 1 0 1 2 1 Q Principal Building Activity Education .......................................... 386 12 26 78 60 58 44 75 32 Food Sales ....................................... 226 Q Q Q Q Q 33 56 Q Food Service .....................................

315

b30.xls  

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

District Chilled Water Elec- tricity Natural Gas District Chilled Water All Buildings* .................................. 4,645 3,625 3,589 17 33 64,783 56,940 54,321 1,018 2,853 Building Floorspace (Square Feet) 1,001 to 5,000 ................................... 2,552 1,841 1,838 Q Q 6,789 5,007 4,994 Q Q 5,001 to 10,000 ................................. 889 732 727 Q Q 6,585 5,408 5,367 Q Q 10,001 to 25,000 ............................... 738 629 618 Q Q 11,535 9,922 9,743 Q Q 25,001 to 50,000 ............................... 241 216 211 Q 6 8,668 7,776 7,557 Q 240 50,001 to 100,000 ............................. 129 118 114 Q 5 9,057 8,331 8,086 Q 332 100,001 to 200,000 ........................... 65 60 55 Q 6 9,064 8,339 7,657 Q 793 200,001 to 500,000 ........................... 25 23 21 Q 2 7,176 6,565 6,112 Q 495 Over 500,000 ....................................

316

a4.xls  

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

East East South Central West South Central Mountain Pacific All Buildings .................................... 71,658 3,452 10,543 12,424 5,680 13,999 3,719 9,022 4,207 8,613 Building Floorspace (Square Feet) 1,001 to 5,000 ................................... 6,922 383 676 986 922 1,283 547 788 466 871 5,001 to 10,000 ................................. 7,033 369 800 939 738 1,468 420 957 465 878 10,001 to 25,000 ............................... 12,659 674 1,448 2,113 1,204 2,443 861 1,555 933 1,429 25,001 to 50,000 ............................... 9,382 366 1,022 1,763 949 1,867 545 1,062 568 1,239 50,001 to 100,000 ............................. 10,291 590 1,682 1,712 664 1,797 749 1,514 492 1,092 100,001 to 200,000 ........................... 10,217 448 1,790 1,872 614 2,422 Q 1,426 346 1,007 200,001 to 500,000 ...........................

317

table3.xls  

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

29.3 29.3 137.3 147.5 151.2 156.8 191.0 Household Characteristics Census Region and Division Northeast............................................................... 23.9 NA 26.6 27.0 26.6 31.7 New England........................................................ 6.6 NA 6.6 6.5 7.6 10.0 Middle Atlantic ..................................................... 17.3 NA 20.1 20.5 19.0 21.7 Midwest ................................................................. 32.5 NA 37.8 38.4 41.1 47.1 East North Central............................................... 21.3 NA 26.0 27.6 29.0 32.4 West North Central ............................................. 11.3 NA 11.8 10.8 12.1 14.7 South..................................................................... 45.1 NA 50.6 52.7 56.0 70.2 South Atlantic.......................................................

318

b44.xls  

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

64,783 64,783 62,060 38,528 59,688 27,571 20,643 17,703 Building Floorspace (Square Feet) 1,001 to 5,000 ................................... 6,789 6,038 2,918 5,579 1,123 312 604 5,001 to 10,000 ................................. 6,585 6,090 3,061 5,726 1,109 686 781 10,001 to 25,000 ............................... 11,535 11,229 6,424 10,458 2,944 1,721 1,973 25,001 to 50,000 ............................... 8,668 8,297 5,176 8,001 3,662 2,191 2,013 50,001 to 100,000 ............................. 9,057 8,912 5,296 8,667 4,330 3,646 2,599 100,001 to 200,000 ........................... 9,064 8,732 6,042 8,612 5,268 4,349 3,473 200,001 to 500,000 ........................... 7,176 6,946 4,913 6,839 4,610 3,918 2,775 Over 500,000 .................................... 5,908 5,816 4,698 5,806 4,526 3,819 3,485 Principal Building Activity

319

b21.xls  

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

Buildings Buildings With Central Physical Plant All Buildings With Central Physical Plant All Buildings* .................................. 4,645 1,477 116 64,783 24,735 6,604 Building Floorspace (Square Feet) 1,001 to 5,000 ................................... 2,552 771 Q 6,789 2,009 Q 5,001 to 10,000 ................................. 889 259 Q 6,585 1,912 Q 10,001 to 25,000 ............................... 738 263 33 11,535 4,158 520 25,001 to 50,000 ............................... 241 92 18 8,668 3,277 630 50,001 to 100,000 ............................. 129 49 13 9,057 3,381 911 100,001 to 200,000 ........................... 65 28 12 9,064 3,935 1,723 200,001 to 500,000 ........................... 25 13 5 7,176 3,568 1,438 Over 500,000 .................................... 7 3 2 5,908 2,494 1,235 Principal Building Activity

320

b39.xls  

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

64,783 64,783 60,028 8,814 19,615 12,545 5,166 20,423 18,021 3,262 Building Floorspace (Square Feet) 1,001 to 5,000 ................................... 6,789 5,668 685 2,902 1,047 Q 461 1,159 330 5,001 to 10,000 ................................. 6,585 5,786 462 2,891 1,282 Q 773 1,599 Q 10,001 to 25,000 ............................... 11,535 10,387 1,400 4,653 2,129 289 2,164 2,765 456 25,001 to 50,000 ............................... 8,668 8,060 1,150 2,761 1,748 325 2,829 2,449 419 50,001 to 100,000 ............................. 9,057 8,718 1,524 2,086 1,819 549 3,497 3,328 450 100,001 to 200,000 ........................... 9,064 8,710 1,245 1,974 1,625 1,365 4,283 2,797 Q 200,001 to 500,000 ........................... 7,176 6,907 1,295 1,456 1,313 1,010 3,844 2,156 514 Over 500,000 .................................... 5,908 5,792

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


321

June2010.XLS  

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

-2008 -2008 2009 2010 2011 CHIEF FINANCIAL OFFICER Jan Feb Mar Apr May Jun July Aug Sep Oct Nov Dec Jan Feb Mar Apr May Jun July Aug Sep Oct Nov Dec Jan Feb Mar Apr May Jun July Aug Sep Oct Nov Dec 1. Federal Loan Guarantee for Mississippi Integrated Gasification Combined Cycle, Moss Point, MS (DOE/EIS-0428) 2. Federal Loan Guarantee for Indiana Integrated Gasification Combined Cycle, Rockport, IN (DOE/EIS-0429) 3. Federal Loan Guarantee to Support Construction of the Taylorville Energy Center, Taylorville, IL (DOE/EIS-0430) 4. Federal Loan Guarantee for the Medicine Bow Fuel and Power Coal-to-Liquid Facility, Carbon County, WY (DOE/EIS-0432) ELECTRICITY DELIVERY AND ENERGY RELIABILITY 5. Presidential Permit Application, Energia Sierra Juarez

322

july2006.xls  

Gasoline and Diesel Fuel Update (EIA)

Department of Energy. The information contained herein should be attributed to the Energy Information Administration and should not be construed as advocating or reflecting any policy of the Department of Energy or any other organization. For additional information, contact Orhan Yildiz at 202-287-1586, or at Orhan.Yildiz@eia.doe.gov. Section 1. Commentary Electric Power Data Monthly Flash Estimates of Data for: April 2006 The weather through April 2006 continued to be warmer than in 2005. Year-to-date heating degree days were down almost 9.3 percent through April. For April alone heating degree days were down 13.8 percent from last year and were 24.0 percent lower than normal. Cooling degree days for April 2006 were 97 percent higher than last year, although April is not a significant month for space heating.

323

c12.xls  

Gasoline and Diesel Fuel Update (EIA)

1,488 1,488 2,794 1,539 17,685 29,205 17,893 84.1 95.7 86.0 Building Floorspace (Square Feet) 1,001 to 5,000 ................................. 191 290 190 2,146 2,805 1,838 89.1 103.5 103.5 5,001 to 10,000 ............................... 131 231 154 1,972 2,917 1,696 66.2 79.2 91.0 10,001 to 25,000 ............................. 235 351 191 3,213 4,976 3,346 73.1 70.5 57.0 25,001 to 50,000 ............................. 172 328 173 2,449 4,128 2,091 70.4 79.4 82.5 50,001 to 100,000 ............................ 150 380 228 2,060 4,018 2,979 73.0 94.6 76.7 100,001 to 200,000 .......................... 214 438 281 2,124 3,947 2,993 100.7 111.1 94.0 200,001 to 500,000 .......................... 219 354 152 2,155 3,427 1,593 101.7 103.2 95.3 Over 500,000 ................................... 176 421 Q 1,566 2,986 1,357 112.1 141.2 Q Principal Building Activity

324

c2.xls  

Gasoline and Diesel Fuel Update (EIA)

Buildings* .................................. Buildings* .................................. 4,645 64,783 92,577 69,032 14,525 1,776 7,245 Building Floorspace (Square Feet) 1,001 to 5,000 ................................... 2,552 6,789 12,812 10,348 2,155 292 Q 5,001 to 10,000 ................................. 889 6,585 9,398 7,296 1,689 307 Q 10,001 to 25,000 ............................... 738 11,535 13,140 10,001 2,524 232 Q 25,001 to 50,000 ............................... 241 8,668 10,392 7,871 1,865 127 Q 50,001 to 100,000 ............................. 129 9,057 11,897 8,717 1,868 203 Q 100,001 to 200,000 ........................... 65 9,064 13,391 9,500 1,737 272 Q 200,001 to 500,000 ........................... 25 7,176 10,347 7,323 1,343 272 Q Over 500,000 .................................... 7 5,908 11,201 7,977 1,344 71 1,810 Principal Building Activity

325

c11.xls  

Gasoline and Diesel Fuel Update (EIA)

Buildings* ................................. Buildings* ................................. 1,188 2,208 2,425 13,374 29,260 22,149 88.8 75.5 109.5 Principal Building Activity Education ........................................ 63 423 334 808 5,378 3,687 78.3 78.6 90.7 Food Sales ...................................... 144 Q Q 765 467 Q 188.5 Q Q Food Service ................................... 318 108 Q 986 664 Q 322.9 163.2 Q Health Care ..................................... 32 104 457 445 835 1,883 71.8 125.1 242.9 Inpatient ........................................ N Q 436 N 182 1,723 N Q 252.9 Outpatient ...................................... 32 66 Q 445 652 160 71.8 100.5 Q Lodging ........................................... 29 207 273 260 2,274 2,563 111.0 91.2 106.7 Retail (Other Than Mall)................... 110 137 72 1,363 2,133 821 80.9 64.1 87.8 Office ...............................................

326

c17.xls  

Gasoline and Diesel Fuel Update (EIA)

32 32 116 153 2,942 9,867 11,373 10.8 11.7 13.5 Building Floorspace (Square Feet) 1,001 to 5,000 ................................... 4 9 20 345 652 908 12.7 13.8 22.0 5,001 to 10,000 ................................. 3 7 8 350 732 781 7.7 9.6 10.7 10,001 to 25,000 ............................... Q 16 20 Q 1,390 1,934 Q 11.2 10.5 25,001 to 50,000 ............................... Q 8 16 Q 944 1,534 Q 8.5 10.4 50,001 to 100,000 ............................. Q 15 21 Q 1,524 1,618 Q 10.2 12.9 100,001 to 200,000 ........................... Q 17 26 Q 1,703 1,671 Q 10.1 15.5 200,001 to 500,000 ........................... Q 22 24 Q 1,673 1,801 Q 13.1 13.1 Over 500,000 .................................... Q 22 18 Q 1,248 1,126 Q 17.3 16.4 Principal Building Activity Education .......................................... Q 12 16 Q 1,384 1,990 Q 8.4 7.9 Food Sales .......................................

327

march2007.xls  

Gasoline and Diesel Fuel Update (EIA)

Orhan Yildiz at 202-287-1586, or at Orhan.Yildiz@eia.doe.gov. Orhan Yildiz at 202-287-1586, or at Orhan.Yildiz@eia.doe.gov. Monthly Flash Estimates of Data for: January 2007 Section 1. Commentary Electric Power Data According to the National Oceanic and Atmospheric Administration (NOAA) Climatic Data Center, after "the 11th record warmest December on record in 2006", more typical winter conditions returned, particularly in the Eastern United States, in the latter part of January 2007. For the month, heating degree days were 26.1 percent higher than January 2006, but still 8.9 percent lower than normal. In January 2007, increased demand for winter heating, coupled with economic strength, as observed by growth in industrial production, resulted in a 7.7 percent growth in electricity generation compared to January 2006. (Industrial production increased 1.92

328

c38.xls  

Gasoline and Diesel Fuel Update (EIA)

Worker Worker (million Btu) per Building (thousand dollars) per Square Foot (dollars) per Thousand Pounds (dollars) All Buildings* .................................. 9,475 116.44 62.2 108.3 1.33 11.43 Building Floorspace (Square Feet) 1,001 to 5,000 ................................... Q Q Q Q Q Q 5,001 to 10,000 ................................. Q Q Q Q Q Q 10,001 to 25,000 ............................... Q Q Q Q Q Q 25,001 to 50,000 ............................... Q Q Q Q Q Q 50,001 to 100,000 ............................. Q Q Q Q Q Q 100,001 to 200,000 ........................... 17,452 118.10 Q Q Q Q 200,001 to 500,000 ........................... 34,658 121.16 143.2 Q Q Q Over 500,000 .................................... 85,182 99.92 52.4 911.2 1.07 10.70 Principal Building Activity Education ..........................................

329

c6.xls  

Gasoline and Diesel Fuel Update (EIA)

21,344 21,521 31,595 18,118 16.79 12.74 16.22 19.88 1.65 1.26 1.35 1.60 Building Floorspace (Square Feet) 1,001 to 5,000 ................................ 2,298 3,235 4,752 2,526 19.47 15.74 19.77 23.48 2.24 1.71 1.88 1.89 5,001 to 10,000 .............................. 1,806 1,694 3,368 2,529 17.72 14.50 18.24 22.49 1.61 1.08 1.27 2.04 10,001 to 25,000 ............................ 2,606 3,157 4,530 2,846 17.56 13.85 18.09 19.03 1.32 1.02 1.03 1.36 25,001 to 50,000 ............................ 1,768 3,033 3,422 2,170 16.61 12.27 16.67 19.02 1.37 1.18 1.08 1.32 50,001 to 100,000 .......................... 3,479 2,592 3,959 1,866 17.16 12.25 15.52 20.88 1.71 1.15 1.15 1.41 100,001 to 200,000 ......................... 3,292 3,029 5,328 1,743 15.74 12.02 14.20 17.92 1.55 1.32 1.53 1.48 200,001 to 500,000 ......................... 2,877 2,798

330

august2006.xls  

Gasoline and Diesel Fuel Update (EIA)

Orhan Yildiz at 202-287-1586, or at Orhan.Yildiz@eia.doe.gov. Orhan Yildiz at 202-287-1586, or at Orhan.Yildiz@eia.doe.gov. Monthly Flash Estimates of Data for: June 2006 Section 1. Commentary Electric Power Data According to the National Climatic Data Center, the first half of 2006 was the warmest on record in the U.S. since recordkeeping began in 1895. Year-to-date cooling degree days through June 2006 were 11.7% higher than in 2005, and June cooling degree days were 12.7 percent higher than normal. As a result, retail sales of electricity through June were up 1.0 percent year-to-date, and increased 1.1 percent compared to June 2005. The average retail price of electricity was up 11.3 percent year-to-date, largely due to higher fuel prices. Year-to-date net generation through June was 0.7 percent higher than in 2005. June 2006 generation was up 0.5 percent compared

331

P1.xls  

Gasoline and Diesel Fuel Update (EIA)

P1. Energy Production Estimates in Physical Units, 2011 P1. Energy Production Estimates in Physical Units, 2011 Alabama 19,381 195,581 8,374 0 Alaska 2,149 356,225 204,829 0 Arizona 8,111 168 37 1,345 Arkansas 133 1,072,212 5,877 0 California 0 250,177 193,691 4,321 Colorado 26,890 1,637,576 39,125 3,057 Connecticut 0 0 0 0 Delaware 0 0 0 0 District of Columbia 0 0 0 0 Florida 0 15,125 2,023 0 Georgia 0 0 0 2,456 Hawaii 0 0 0 0 Idaho 0 0 0 1,321 Illinois 37,938 2,121 9,234 30,068 Indiana 37,544 9,075 1,987 22,547 Iowa 0 0 0 87,314 Kansas 37 309,124 41,503 10,676 Kentucky 108,971 124,243 2,326 866 Louisiana 3,865 3,029,206 68,984 37 Maine 0 0 0 0 Maryland 2,937 34 0 0 Massachusetts 0 0 0 0 Michigan 0 138,162 6,977 6,543 Minnesota 0 0 0 27,536 Mississippi 2,747 81,487 24,216 1,321 Missouri 465 0 118 6,261 Montana 42,008 74,624 24,151 0 Nebraska 0 1,959 2,542 47,120 Nevada 0 3 408 0 New Hampshire 0 0 0 0 New Jersey 0 0 0 0 New Mexico 21,922 1,237,303 71,274

332

january2007.xls  

Gasoline and Diesel Fuel Update (EIA)

Orhan Yildiz at 202-287-1586, or at Orhan.Yildiz@eia.doe.gov. Orhan Yildiz at 202-287-1586, or at Orhan.Yildiz@eia.doe.gov. Monthly Flash Estimates of Data for: November 2006 Section 1. Commentary Electric Power Data November is typically the month when generation reaches a trough before the winter season heating demand picks up in December. November 2006 was also warmer than normal and the heating degree days were 12.9 percent lower than normal. Consequently, total net generation in November 2006 was down 3.9 percent from October 2006, but was up 0.8 percent from November 2005. Similarly, retail sales of electricity in November 2006 were down 4.8 percent from October 2006, but were up 0.8 percent from November 2005. Year-to-date, through November 2006, total net generation rose 0.3 percent and retail sales of electricity were up 0.4 percent,

333

c20.xls  

Gasoline and Diesel Fuel Update (EIA)

120 120 224 166 219 161 10,393 17,076 11,375 15,172 9,290 11.5 13.1 14.6 14.5 17.3 Building Floorspace (Square Feet) 1,001 to 5,000 ................................ 19 26 14 31 23 1,204 1,595 918 1,759 871 15.7 16.5 14.9 17.8 26.3 5,001 to 10,000 .............................. 11 17 12 24 13 1,124 1,547 950 1,738 839 9.9 10.9 12.8 13.7 15.3 10,001 to 25,000 ............................ 18 29 23 25 24 2,183 3,140 1,402 2,822 1,823 8.3 9.2 16.1 9.0 13.3 25,001 to 50,000 ............................ 18 24 15 25 22 1,451 2,199 1,272 2,027 1,435 12.2 10.8 11.6 12.3 15.1 50,001 to 100,000 .......................... 15 32 24 28 19 1,295 2,549 1,823 2,037 1,327 11.8 12.6 13.2 13.8 14.3 100,001 to 200,000 ......................... 15 40 24 41 22 1,206 2,641 1,752 2,259 1,160 12.4 15.3 13.5 17.9 18.8 200,001 to 500,000 ......................... 14 27 21 25 19 1,115 1,943 1,619

334

november2005.xls  

Gasoline and Diesel Fuel Update (EIA)

and Stock Trends and Stock Trends Page 5 6. Month-to-Month Comparisons: Electric Power Retail Sales and Average Prices Page 6 7. Retail Sales Trends Page 7 8. Average Retail Price Trends Page 8 9. Heating and Cooling Degree Days Page 9 10. Documentation Page 10 This report was prepared by the Energy Information Administration, the independent statistical and analytical agency within the U.S. Department of Energy. The information contained herein should be attributed to the Energy Information Administration and should not be construed as advocating or reflecting any policy of the Department of Energy or any other organization. For additional information, contact Orhan Yildiz at 202-287-1586, or at Orhan.Yildiz@eia.doe.gov. Section 1. Commentary Electric Power Data

335

april2005.xls  

Gasoline and Diesel Fuel Update (EIA)

February February 2005 This report was prepared by the Energy Information Administration, the independent statistical and analytical agency within the U.S. Department of Energy. The information contained herein should be attributed to the Energy Information Administration and should not be construed as advocating or reflecting any policy of the Department of Energy or any other organization. For additional information, contact Stan Kaplan at 202-287-1803, or at stan.kaplan@eia.doe.gov. * Change in total consumption or generation for the latest 12 month period (March 2004 to February 2005) compared to the prior 12 month period ( March 2003 to February 2004). Latest 12 Month Period* 6.0% 0.8% n/a Year to Date: -2.9% -1.4% n/a February 2004 -11.9% -2.7% -8.4% January 2005

336

c7.xls  

Gasoline and Diesel Fuel Update (EIA)

294 294 978 1,254 2,964 9,941 11,595 99.0 98.3 108.1 Building Floorspace (Square Feet) 1,001 to 5,000 ................................... 33 85 146 360 666 974 91.2 128.1 149.7 5,001 to 10,000 ................................. Q 64 73 359 764 843 Q 83.7 86.8 10,001 to 25,000 ............................... Q 115 163 553 1,419 1,934 Q 81.2 84.3 25,001 to 50,000 ............................... Q 74 140 347 944 1,618 Q 78.7 86.8 50,001 to 100,000 ............................. Q 134 148 516 1,524 1,618 Q 87.8 91.5 100,001 to 200,000 ........................... Q 150 203 414 1,703 1,682 Q 87.9 120.8 200,001 to 500,000 ........................... Q 177 214 Q 1,673 1,801 Q 105.8 118.8 Over 500,000 .................................... Q Q Q Q 1,248 1,126 Q Q Q Principal Building Activity Education .......................................... Q 143

337

c35.xls  

Gasoline and Diesel Fuel Update (EIA)

65 65 170 104 63 6,080 2,832 4,122 2,123 0.21 0.06 0.03 Q Building Floorspace (Square Feet) 1,001 to 10,000 ............................... 381 Q Q Q 757 Q 255 Q 0.50 Q 0.10 Q 10,001 to 100,000 ........................... 375 63 Q Q 1,704 643 833 351 0.22 0.10 Q Q Over 100,000 .................................. 509 20 44 Q 3,618 1,983 3,034 1,673 0.14 0.01 0.01 Q Principal Building Activity Education ........................................ 282 Q Q Q 933 Q Q Q 0.30 Q Q Q Health Care...................................... Q Q 17 7 Q 492 786 262 Q Q 0.02 0.03 Office .............................................. 105 6 14 1 1,379 714 1,235 748 0.08 0.01 0.01 0.00 All Others ........................................ 837 Q 44 40 3,426 1,281 1,644 984 0.24 Q 0.03 Q Year Constructed 1945 or Before ................................ 555 Q Q Q 2,126 Q Q Q 0.26 Q Q Q 1946 to 1959 ...................................

338

c24.xls  

Gasoline and Diesel Fuel Update (EIA)

Buildings* ................................. Buildings* ................................. 782 43.0 36.0 17.6 37.1 70.9 6.1 0.33 7.77 Building Floorspace (Square Feet) 1,001 to 5,000 ................................. 219 78.7 42.6 23.7 46.3 92.0 1.9 0.70 8.88 5,001 to 10,000 ............................... 408 54.8 42.5 13.9 28.8 65.7 3.4 0.46 8.34 10,001 to 25,000 ............................. 667 42.5 40.8 14.4 29.2 52.1 5.6 0.36 8.41 25,001 to 50,000 ............................. 1,483 41.5 39.1 16.0 31.5 55.3 11.1 0.31 7.46 50,001 to 100,000 ............................ 2,498 35.4 39.1 10.1 27.6 48.8 19.7 0.28 7.90 100,001 to 200,000 .......................... 5,029 36.3 26.1 6.1 23.6 55.2 36.2 0.26 7.19 200,001 to 500,000 .......................... 10,234 35.0 35.5 10.0 22.7 47.2 69.2 0.24 6.76 Over 500,000 ................................... 39,551 43.0 28.8 2.8 20.0

339

c27.xls  

Gasoline and Diesel Fuel Update (EIA)

73 73 343 512 1,465 7,716 9,570 49.5 44.4 53.5 Building Floorspace (Square Feet) 1,001 to 5,000 ................................... Q 41 68 Q 417 729 Q 99.5 93.6 5,001 to 10,000 ................................. Q 31 43 Q 482 654 Q 64.8 66.0 10,001 to 25,000 ............................... Q 45 90 Q 931 1,681 Q 47.9 53.6 25,001 to 50,000 ............................... Q 39 70 Q 829 1,422 Q 47.4 49.5 50,001 to 100,000 ............................. Q 43 73 Q 1,263 1,554 Q 34.1 47.2 100,001 to 200,000 ........................... Q 41 67 Q 1,445 1,264 Q 28.3 52.7 200,001 to 500,000 ........................... Q 55 56 Q 1,484 1,277 Q 37.3 44.1 Over 500,000 .................................... Q 47 44 Q 865 989 Q 54.0 44.4 Principal Building Activity Education .......................................... Q 49 99 Q 1,247 1,804 Q 39.5 54.6 Food Sales .......................................

340

c4.xls  

Gasoline and Diesel Fuel Update (EIA)

Buildings* .................................. Buildings* .................................. 4,645 64,783 13.9 92,577 19.9 1.43 15.91 Building Floorspace (Square Feet) 1,001 to 5,000 ................................... 2,552 6,789 2.7 12,812 5.0 1.89 19.08 5,001 to 10,000 ................................. 889 6,585 7.4 9,398 10.6 1.43 18.22 10,001 to 25,000 ............................... 738 11,535 15.6 13,140 17.8 1.14 16.93 25,001 to 50,000 ............................... 241 8,668 35.9 10,392 43.1 1.20 15.44 50,001 to 100,000 ............................. 129 9,057 70.4 11,897 92.5 1.31 15.68 100,001 to 200,000 ........................... 65 9,064 138.8 13,391 205.1 1.48 14.34 200,001 to 500,000 ........................... 25 7,176 289.0 10,347 416.7 1.44 14.28 Over 500,000 .................................... 7 5,908 896.1 11,201 1698.8 1.90 14.62 Principal Building Activity

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341

c33.xls  

Gasoline and Diesel Fuel Update (EIA)

per per Building (gallons) per Square Foot (gallons) per Worker (gallons) per Building (thousand dollars) per Square Foot (dollars) per Gallon (dollars) All Buildings* .................................. 3,555 0.11 81.6 3.9 0.12 1.11 Building Floorspace (Square Feet) 1,001 to 5,000 ................................... 1,187 0.41 315.2 1.4 0.49 1.18 5,001 to 10,000 ................................. 2,639 0.37 456.4 3.1 0.43 1.17 10,001 to 25,000 ............................... 3,238 0.20 218.5 3.8 0.24 1.18 25,001 to 50,000 ............................... 5,383 0.14 109.4 5.8 0.15 1.08 50,001 to 100,000 ............................. 8,163 0.11 78.4 8.8 0.12 1.08 100,001 to 200,000 ........................... 12,681 0.09 80.6 13.1 0.09 1.03 200,001 to 500,000 ........................... 22,353 0.08 62.1 23.6 0.08

342

october2005.xls  

Gasoline and Diesel Fuel Update (EIA)

and Stock Trends and Stock Trends Page 5 6. Month-to-Month Comparisons: Electric Power Retail Sales and Average Prices Page 6 7. Retail Sales Trends Page 7 8. Average Retail Price Trends Page 8 9. Heating and Cooling Degree Days Page 9 10. Documentation Page 10 Monthly Flash Estimates of Data for: August 2005 This report was prepared by the Energy Information Administration, the independent statistical and analytical agency within the U.S. Department of Energy. The information contained herein should be attributed to the Energy Information Administration and should not be construed as advocating or reflecting any policy of the Department of Energy or any other organization. For additional information, contact Orhan Yildiz at 202-287-1586, or at Orhan.Yildiz@eia.doe.gov.

343

P2.xls  

Gasoline and Diesel Fuel Update (EIA)

P2. Energy Production Estimates in Trillion Btu, 2011 P2. Energy Production Estimates in Trillion Btu, 2011 Alabama 468.7 226.8 48.6 411.8 0.0 245.3 245.3 1,401.2 Alaska 33.5 404.7 1,188.0 0.0 0.0 15.7 15.7 1,641.9 Arizona 174.8 0.2 0.2 327.3 7.8 107.4 115.2 617.7 Arkansas 3.0 1,090.9 34.1 148.5 0.0 113.5 113.5 1,390.0 California 0.0 279.7 1,123.4 383.6 25.0 812.8 837.8 2,624.6 Colorado 586.8 1,831.2 226.9 0.0 17.7 84.0 101.7 2,746.7 Connecticut 0.0 0.0 0.0 166.7 0.0 29.9 29.9 196.5 Delaware 0.0 0.0 0.0 0.0 0.0 3.8 3.8 3.8 District of Columbia 0.0 0.0 0.0 0.0 0.0 0.1 0.1 0.1 Florida 0.0 15.4 11.7 230.4 0.0 266.7 266.7 524.2 Georgia 0.0 0.0 0.0 338.1 14.2 192.1 206.3 544.4 Hawaii 0.0 0.0 0.0 0.0 0.0 19.1 19.1 19.1 Idaho 0.0 0.0 0.0 0.0 7.6 172.8 180.4 180.4 Illinois 864.2 3.7 53.6 1,002.7 174.0 102.3 276.3 2,200.5 Indiana 841.0 9.2 11.5 0.0 130.5 71.2 201.7 1,063.4 Iowa 0.0 0.0 0.0 54.6 505.3 140.7 645.9 700.5 Kansas 0.8 356.8 240.7 76.6 61.8

344

june2005.xls  

Gasoline and Diesel Fuel Update (EIA)

and Stock Trends and Stock Trends Page 5 6. Month-to-Month Comparisons: Electric Power Retail Sales and Average Prices Page 6 7. Retail Sales Trends Page 7 8. Average Retail Price Trends Page 8 9. Heating and Cooling Degree Days Page 9 10. Documentation Page 10 Monthly Flash Estimates of Data for: April 2005 This report was prepared by the Energy Information Administration, the independent statistical and analytical agency within the U.S. Department of Energy. The information contained herein should be attributed to the Energy Information Administration and should not be construed as advocating or reflecting any policy of the Department of Energy or any other organization. For additional information, contact Orhan Yildiz at 202-287-1586, or at Orhan.Yildiz@eia.doe.gov.

345

oil1993.xls  

Gasoline and Diesel Fuel Update (EIA)

(thousand Household Member (thousand Household Member Building Foot Household Member Characteristics (million) (million) sq. ft.) Btu) Btu) (million Btu) (million Btu) (dollars) (dollars) (dollars) (dollars) Total U.S. Households 13.8 11.6 29.8 92 36 77.5 28 604 0.23 506 186 Census Region and Division Northeast 7.9 5.9 17.2 133 45 98.7 36 854 0.29 636 234 New England 2.8 2.4 6.6 125 45 105.6 40 819 0.30 691 262 Middle Atlantic 5.0 3.5 10.6 138 45 94.8 34 878 0.29 605 219 Midwest 2.3 2.2 6.0 60 22 58.4 21 378 0.14 370 132 East North Central 1.5 1.5 4.1 51 19 49.3 18 328 0.12 318 116 West North Central 0.7 0.7 2.0 78 29 77.8 27 481 0.18 481 165 South 3.1 2.9 5.4 43 24 41.0 15 306 0.17 292 108 South Atlantic 2.6 2.5 4.6 47 26 44.4 16 334 0.18 316 116 East South Central 0.4 0.4 0.6 24 14 23.8 9 168 0.10 168 65 West South Central Q Q Q 5 2 4.8 2 47 0.02 47 18 West 0.6 0.5 1.2 61 27 58.8 23 444 0.20 427 164 Mountain

346

april2006.xls  

Gasoline and Diesel Fuel Update (EIA)

Monthly Flash Estimates of Monthly Flash Estimates of Data for: February 2006 This report was prepared by the Energy Information Administration, the independent statistical and analytical agency within the U.S. Department of Energy. The information contained herein should be attributed to the Energy Information Administration and should not be construed as advocating or reflecting any policy of the Department of Energy or any other organization. For additional information, contact Orhan Yildiz at 202-287-1586, or at Orhan.Yildiz@eia.doe.gov. Section 1. Commentary Electric Power Data After an unusually warm January, February weather reverted to a historically more normal seasonal pattern. February 2006 heating degree days were, however, still 8 percent higher than in February 2005, which had been warmer than normal.

347

sup_elec.xls  

Gasoline and Diesel Fuel Update (EIA)

0. Electric Power Projections for EMM Region 0. Electric Power Projections for EMM Region East Central Area Reliability Coordination Agreement 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 Electricity Generating Capacity 1/ (gigawatts) Coal Steam 84.34 84.34 84.33 84.17 83.59 82.17 81.85 81.85 81.32 81.32 81.32 81.32 81.32 Other Fossil Steam 2/ 3.83 3.83 3.83 3.83 3.83 3.83 3.83 3.83 3.81 3.81 3.81 3.81 3.81 Combined Cycle 4.24 8.72 11.97 12.95 12.95 12.95 12.95 12.95 12.91 12.91 13.96 14.60 15.67 Combustion Turbine/Diesel 13.84 19.59 21.22 21.22 21.14 21.14 21.11 21.08 18.97 19.21 19.83 19.93 20.20 Nuclear Power 7.68 7.69 7.72 7.72 7.72 7.72 7.72 7.72 7.72 7.72 7.72 7.72 7.72 Pumped Storage/Other 3/ 3.36 3.36 3.36 3.36 3.36 3.36 3.36 3.36 3.36 3.36 3.36 3.36 3.36 Fuel Cells 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 Renewable Sources 4/ 1.72

348

march2007.xls  

Gasoline and Diesel Fuel Update (EIA)

7 7 Section 1. Commentary Electric Power Data During March 2007, the contiguous U.S. experienced the second warmest March over the 1895-2007 time period. Heating degree days were 15.7 percent lower than normal, as measured over the 1971-2000 time period, and 16.7 percent lower than March 2006. Despite the unseasonably warm March, retail sales of electricity increased 0.8 percent compared to March 2006, while March 2007 generation of electric power increased 0.9 percent over March 2006. These increases were primarily due to economic growth, evident by a 2.1-percent increase in the real gross domestic product for the U.S. in the first quarter of 2007 over the first quarter of 2006. The average U.S. retail price of electricity for March 2007 showed a 5.0-percent

349

2010 APS.xls  

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

Allison to Marcinowski SUBJECT: NEPA 2010 APS for DOE-SRS Allison to Marcinowski SUBJECT: NEPA 2010 APS for DOE-SRS *Title, Location Estimated Cost Description Determination Date: uncertain Transmittal to State: uncertain EA Approval: uncertain tbd FONSI: uncertain Total Estimated Cost tbd Annual NEPA Planning Summary Environmental Assessments (EAs) Expected to be Initiated in the Next 12 Months Department of Energy (DOE) Savannah River Site (SRS) Jan-10 Estimated Schedule (**NEPA Milestones) DOE SRS expects to initiate one or more new EAs over the next 12 months. * Please include projected NEPA milestones, if planned. 1 of 6 Annual NEPA Planning Summary (2010) DOE Savannah River Site Attachment: Memo, Allison to Marcinowski SUBJECT: NEPA 2010 APS for DOE-SRS *Title, Location Estimated Cost Description Determination Date:

350

LNG 2006.xls  

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

6 6 Jan Feb March April May June July Aug Sept Oct Nov Dec TOTAL Algeria 3.0 2.8 3.0 2.8 0.0 2.8 3.0 0.0 0.0 0.0 0.0 0.0 17.4 Malaysia 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 Nigeria 3.0 3.1 0.0 6.0 3.1 6.0 6.1 6.2 6.0 9.0 5.7 3.1 57.3 Oman 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 Trinidad 30.5 27.6 30.2 36.4 44.3 38.6 33.4 37.0 25.2 24.7 24.6 36.7 389.3 Egypt 3.0 5.3 0.0 13.6 19.8 14.3 15.0 8.9 8.8 2.6 16.9 11.4 119.5 Qatar 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 TOTAL 39.5 38.7 33.2 58.8 67.3 61.7 57.6 52.1 40.0 36.2 47.2 51.2 583.5 LNG Imports by Receiving Terminal (Bcf) 2006 Jan Feb March April May June July Aug Sept Oct Nov Dec TOTAL Cove Point, MD 11.9 11.0 8.9 14.4 11.6 14.6 12.0 11.8 5.4 3.0 3.0 9.0 116.6 Elba Island, GA 7.9 7.9 7.9 13.4 13.7 13.8 13.6 16.8 13.9 10.4 13.5 14.0 146.8 Everett, MA 16.6 16.8 16.4 13.9 16.6 13.6 14.3 14.2 9.1 13.9 14.0 16.6 176.1 Lake Charles, LA 3.0 3.1

351

Webinar Schedule.xls  

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

Session Session Date Time Conference Number iPortal Web Conference ID Session 1 Monday, September 14 12:00 PM ET 202-287-5293 259443 Session 2 Monday, September 14 03:00 PM ET 301-903-7073 259451 Session 3 Tuesday, September 15 12:00 PM ET 202-586-9248 259463 Session 4 Tuesday, September 15 03:00 PM ET 301-903-7073 259476 Session 5 Wednesday, September 16 12:00 PM ET 301-903-7073 259481 Session 6 Wednesday, September 16 03:00 PM ET 301-903-7073 259491 Session 7 Thursday, September 17 12:00 PM ET 202-287-5293 259505 Session 8 Thursday, September 17 03:00 PM ET 301-903-7073 259519 Session 9 Friday, September 18 12:00 PM ET 202-287-5293 259522 Session 10 Friday, September 18 03:00 PM ET 301-903-7073 259540 Session 11 Monday, September 21 12:00 PM ET 202-287-5293 259557 Session 12 Monday, September 21 03:00 PM ET 301-903-7073

352

OMBDOEFAIR2005.xls  

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

50 WAPA CO Loveland US 1 Q560 C A 1999 9976 019 50 WAPA CO Loveland US 1 Q560 C A 1999 9977 019 50 WAPA CO Loveland US 1 Q560 I 1999 9978 019 50 WAPA CO Loveland US 1 Q560 C A...

353

february2010.xls  

Annual Energy Outlook 2012 (EIA)

of electricity remained relatively unchanged from December 2008. The average U.S. retail price of electricity decreased 2.0 percent in December 2009 compared to the previous year....

354

april2007.xls  

Annual Energy Outlook 2012 (EIA)

billing cycles tend to lag electricity production in many areas. The average U.S. retail price of electricity in February 2007 showed a 3.7-percent jump from February 2006, and a...

355

c16.xls  

Gasoline and Diesel Fuel Update (EIA)

... 4,825 3,153 3,155 2,712 0.10 0.06 0.07 0.09 1.23 0.81 1.05 1.24 Wall or Roof Replacement ... 2,888 1,684 2,041 1,516 0.10 0.06 0.07 0.09 1.08 0.75 1.10...

356

July 2013.XLS  

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

ELECTRICITY DELIVERY AND ENERGY RELIABILITY 2. Presidential Permit Application, Champlain Hudson Power Express Transmission Line (DOEEIS-0447) 3. Presidential Permit...

357

eia191.xls  

Gasoline and Diesel Fuel Update (EIA)

EIA-191 Ben Franklin Station Address 2: City: State: Zip: - Storage Field Name Reservoir Name Location State Location County Total Storage Field Capacity (Mcf) Maximum...

358

c17.xls  

Gasoline and Diesel Fuel Update (EIA)

Division for Non-Mall Buildings, 2003: Part 1 Total Electricity Consumption (billion kWh) Total Floorspace of Buildings Using Electricity (million square feet) Electricity...

359

c14.xls  

Gasoline and Diesel Fuel Update (EIA)

Intensities for Non-Mall Buildings, 2003 Distribution of Building-Level Intensities (kWhsquare foot) Electricity Consumption Electricity Expenditures per Building (thousand...

360

c19.xls  

Gasoline and Diesel Fuel Update (EIA)

Division for Non-Mall Buildings, 2003: Part 3 Total Electricity Consumption (billion kWh) Total Floorspace of Buildings Using Electricity (million square feet) Electricity...

Note: This page contains sample records for the topic "xls files graphs" 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

c15.xls  

Annual Energy Outlook 2012 (EIA)

by Census Region for Non-Mall Buildings, 2003 Total Electricity Consumption (billion kWh) Total Floorspace of Buildings Using Electricity (million square feet) Electricity...

362

c18.xls  

Gasoline and Diesel Fuel Update (EIA)

Division for Non-Mall Buildings, 2003: Part 2 Total Electricity Consumption (billion kWh) Total Floorspace of Buildings Using Electricity (million square feet) Electricity...

363

c21.xls  

Annual Energy Outlook 2012 (EIA)

by Building Size for Non-Mall Buildings, 2003 Total Electricity Consumption (billion kWh) Total Floorspace of Buildings Using Electricity (million square feet) Electricity...

364

c22.xls  

Annual Energy Outlook 2012 (EIA)

by Year Constructed for Non-Mall Buildings, 2003 Total Electricity Consumption (billion kWh) Total Floorspace of Buildings Using Electricity (million square feet) Electricity...

365

October 2013.XLS  

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

Field Laboratory Area IV, CA (DOEEIS-0402) 9. Storage and Management of Elemental Mercury (DOEEIS-0423) 10. Supplemental EIS for the Storage and Management of Elemental...

366

c26.xls  

Gasoline and Diesel Fuel Update (EIA)

Building Floorspace (Square Feet) 1,001 to 5,000 ... 456 782 599 317 9.84 8.57 9.21 7.94 0.89 0.73 0.69 0.51 5,001 to 10,000...

367

manndata.xls  

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

5.24 4.88 2.76 60 ANDERSON 1949 3 ALBOLL 0 15 8.03 5.40 5.03 2.87 30 THOMPSON ET AL 1954 4 ALBOLL 0 15 6.26 4.31 3.50 2.16 30 THOMPSON ET AL 1954 5 ANDEPT 0 15 12.30 10.93...

368

b29.xls  

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

October 2006 Next CBECS will be conducted in 2007 Electricity Natural Gas Fuel Oil District Heat All Buildings* ... 64,783 60,028 15,996...

369

b27.xls  

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

October 2006 Next CBECS will be conducted in 2007 Elec- tricity Natural Gas Fuel Oil District Heat Propane Other a All Buildings* ... 64,783...

370

c13.xls  

Annual Energy Outlook 2012 (EIA)

... 1,435 18.0 9.5 4.9 12.6 20.7 93.3 1.17 0.065 Boilers ... 511 14.5 12.6 3.4 7.9 16.6 38.1 1.08...

371

b3.xls  

Annual Energy Outlook 2012 (EIA)

Heat ... 65 17 13 20 15 5,166 1,245 1,623 1,683 615 Boilers ... 579 227 175 88 89 20,423 6,228 6,141...

372

c1.xls  

Annual Energy Outlook 2012 (EIA)

District Heat ... 65 5,166 13,505 6,051 269 8 7,177 Boilers ... 579 20,423 31,052 22,045 7,418 1,337 Q...

373

b15.xls  

Annual Energy Outlook 2012 (EIA)

102 86 22 14 5 District Heat ... 65 Q Q Q 16 7 9 5 Boilers ... 579 216 88 81 94 51 34 15 Packaged...

374

c23.xls  

Gasoline and Diesel Fuel Update (EIA)

Heat ... 1,582 16.6 5.7 1.1 2.8 9.7 11.2 0.12 7.08 Boilers ... 2,334 55.5 47.6 29.7 54.4 91.5 17.2...

375

b33.xls  

Annual Energy Outlook 2012 (EIA)

Propane Elec- tricity Natural Gas Propane All Buildings* ... 4,645 801 410 457 108 64,783 22,237 13,161 15,438 1,460 Building Floorspace (Square...

376

c13.xls  

Gasoline and Diesel Fuel Update (EIA)

Electricity Expenditures Primary Total (trillion Btu) Total (trillion Btu) Total (billion kWh) All Buildings* ... 4,404 63,307 14.4 9,168 3,037 890...

377

Agenda.xls  

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

Orinda, 94563) Driving time 20 min, bus departs at 5:40 PM; returning to Doubletree Hotel @ 8:00 PM Break (30) Calibration (15) - Deustua Lunch (90) Dark Energy Task Force...

378

b1.xls  

Gasoline and Diesel Fuel Update (EIA)

HVAC Maintenance ... 2,581 51,163 63,597 19.8 804 66 Energy Management and Control System (EMCS) ... 252 15,630 21,642 62.0 722 69 Window...

379

c34.xls  

Gasoline and Diesel Fuel Update (EIA)

HVAC Maintenance ... 4,342 0.10 74.7 4.8 0.11 1.11 Energy Management and Control System (EMCS) ... 6,819 0.03 21.4 7.4 0.04 1.09...

380

c29.xls  

Annual Energy Outlook 2012 (EIA)

... 131 138 138 3,866 2,404 4,522 33.9 57.5 30.6 Energy Management and Control System (EMCS) ... 39 44 37 1,448 680 1,657 26.8 64.0...

Note: This page contains sample records for the topic "xls files graphs" 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

c27.xls  

Annual Energy Outlook 2012 (EIA)

... 62 303 439 1,221 6,927 8,008 51.0 43.8 54.9 Energy Management and Control System (EMCS) ... Q 90 141 Q 1,961 2,522 Q 45.8 55.9...

382

c35.xls  

Gasoline and Diesel Fuel Update (EIA)

1,156 110 98 49 5,602 2,638 3,898 2,015 0.21 0.04 0.03 Q Energy Management and Control System (EMCS) ... 156 13 39 Q 1,798 1,395 1,996 1,173 0.09...

383

c33.xls  

Annual Energy Outlook 2012 (EIA)

HVAC Maintenance ... 4,342 0.10 74.7 4.8 0.11 1.11 Energy Management and Control System (EMCS) ... 6,819 0.03 21.4 7.4 0.04 1.09...

384

c38.xls  

Annual Energy Outlook 2012 (EIA)

Maintenance ... 10,171 118.71 60.9 116.2 1.36 11.42 Energy Management and Control System (EMCS) ... 18,226 115.02 76.7 207.1 1.31 11.36...

385

c36.xls  

Annual Energy Outlook 2012 (EIA)

... 1,261 123 117 Q 1.09 1.12 1.20 1.30 0.23 0.05 0.03 Q Energy Management and Control System (EMCS) ... 166 14 42 Q 1.06 1.12 1.08 1.31 0.09...

386

c28.xls  

Annual Energy Outlook 2012 (EIA)

... 127 187 83 2,776 5,494 1,767 45.8 34.0 46.7 Energy Management and Control System (EMCS) ... 30 49 22 735 1,805 488 40.4 27.4 45.9...

387

b3.xls  

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

... 2,581 498 642 878 563 51,163 11,047 13,128 17,641 9,347 Energy Management and Control System (EMCS) ... 252 28 55 101 68 15,630 3,002 3,799...

388

c2.xls  

Gasoline and Diesel Fuel Update (EIA)

... 2,581 51,163 81,328 60,420 12,356 1,565 6,987 Energy Management and Control System (EMCS) ... 252 15,630 27,646 20,451 3,318 241...

389

c37.xls  

Gasoline and Diesel Fuel Update (EIA)

Maintenance ... 10,171 118.71 60.9 116.2 1.36 11.42 Energy Management and Control System (EMCS) ... 18,226 115.02 76.7 207.1 1.31 11.36...

390

c32.xls  

Gasoline and Diesel Fuel Update (EIA)

... 456 760 393 9,645 16,923 10,416 47.3 44.9 37.7 Energy Management and Control System (EMCS) ... 111 241 112 2,167 6,029 3,431 51.1 39.9...

391

b18.xls  

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

51,163 37,125 18,712 17,826 587 14,039 1,868 3,523 8,648 Energy Management and Control System (EMCS) ... 15,630 8,641 4,651 3,844 Q 6,989 524...

392

sup_ogc.xls  

Annual Energy Outlook 2012 (EIA)

per Gallon) New England 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 Diesel End-User Price 1.50 1.42 1.57 1.44 1.43 1.47 1.51 1.52 1.51 1.50 1.52 1.51 1.50...

393

a1.xls  

Annual Energy Outlook 2012 (EIA)

2003 Commercial Buildings Energy Consumption Survey Detailed Tables October 2006 Energy Information Administration 2003 Commercial Buildings Energy Consumption Survey Detailed...

394

b24.xls  

Gasoline and Diesel Fuel Update (EIA)

Water Heating Cooking Manu- facturing All Buildings* ... 4,645 3,982 3,625 3,472 801 119 Building Floorspace (Square Feet) 1,001 to 5,000...

395

b1.xls  

Gasoline and Diesel Fuel Update (EIA)

... 12.4 13.4 33.8 12.0 23.6 7.6 District Chilled Water ... 13.0 11.5 47.1 12.9 29.0 6.8 Propane ......

396

c1.xls  

Gasoline and Diesel Fuel Update (EIA)

... 67 5,443 1,017 1,011 335 47 1 634 District Chilled Water ... 33 2,853 538 580 192 35 2 309 Propane ......

397

RegistrationList.xls  

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

University of Michigan Carithers, William LBNL Cerna, Cedric CPPMCNRS, France Cominsky, Lynn Sonoma State University Davis, Tamara Dark Cosmology Centre, University of Copenhagen...

398

b34.xls  

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

386 330 Q Q Q 3,210 2,552 Q Q Q Cooling Equipment (more than one may apply) Residential-Type Central Air Conditioners ... 1,006 N 284 182...

399

b36.xls  

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

... 386 Q 28 107 248 9,874 Q 332 4,202 5,299 Food Sales ... 226 Q Q 45 142 1,255 Q Q 317 812 Food...

400

b42.xls  

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

... 386 298 184 81 34 9,874 9,481 5,343 1,766 2,372 Food Sales ... 226 186 148 Q Q 1,255 1,130 844 Q Q Food...

Note: This page contains sample records for the topic "xls files graphs" 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

c11.xls  

Gasoline and Diesel Fuel Update (EIA)

... 109 287 515 1,181 3,222 4,115 92.2 89.1 125.2 HVAC Equipment Upgrade ... 114 431 611 1,175 4,662 4,931 97.4 92.5 123.9 Lighting...

402

c10.xls  

Gasoline and Diesel Fuel Update (EIA)

219 285 224 125 58 1,983 2,300 2,297 1,388 550 110.4 124.1 97.4 89.8 106.2 HVAC Equipment Upgrade ... 262 345 292 187 72 2,415 3,076 2,660 1,879 738 108.4 112.0...

403

c5.xls  

Gasoline and Diesel Fuel Update (EIA)

... 265 294 201 151 2,489 2,586 1,936 1,507 106.5 113.9 103.7 100.0 HVAC Equipment Upgrade ... 338 369 278 172 3,027 3,332 2,584 1,825 111.7 110.8 107.4...

404

c9.xls  

Gasoline and Diesel Fuel Update (EIA)

Wall Re-Configuration ... 46 83 68 566 637 870 81.3 129.9 78.1 HVAC Equipment Upgrade ... 54 92 79 561 776 1,049 96.3 118.9 75.6 Lighting Upgrade...

405

c4.xls  

Annual Energy Outlook 2012 (EIA)

Wall Re-Configuration ... 411 8,518 20.7 13,131 32.0 1.54 14.41 HVAC Equipment Upgrade ... 442 10,768 24.4 16,899 38.3 1.57 14.61 Lighting Upgrade...

406

c3.xls  

Annual Energy Outlook 2012 (EIA)

Wall Re-Configuration ... 411 8,518 20.7 911 2,218 107.0 81.4 HVAC Equipment Upgrade ... 442 10,768 24.4 1,156 2,619 107.4 83.5 Lighting Upgrade...

407

c12.xls  

Annual Energy Outlook 2012 (EIA)

Wall Re-Configuration ... 378 534 N 4,191 4,327 N 90.1 123.3 N HVAC Equipment Upgrade ... 510 646 N 5,436 5,332 N 93.9 121.2 N Lighting Upgrade...

408

c7.xls  

Annual Energy Outlook 2012 (EIA)

... 73 192 220 639 1,850 1,709 114.9 103.6 128.7 HVAC Equipment Upgrade ... 75 263 257 739 2,287 2,136 101.7 115.0 120.6 Lighting...

409

c30.xls  

Gasoline and Diesel Fuel Update (EIA)

98 122 57 38 17 1,605 1,958 1,881 1,162 413 61.0 62.2 30.2 33.0 40.1 HVAC Equipment Upgrade ... 123 154 88 68 20 1,956 2,537 1,996 1,488 506 62.7 60.7...

410

c8.xls  

Gasoline and Diesel Fuel Update (EIA)

Wall Re-Configuration ... 75 107 Q 877 1,036 334 85.0 103.7 Q HVAC Equipment Upgrade ... 112 161 63 1,197 1,559 464 93.3 103.1 135.6 Lighting...

411

c31.xls  

Gasoline and Diesel Fuel Update (EIA)

Re-Configuration ... 46 108 178 770 2,479 3,769 59.7 43.5 47.1 HVAC Equipment Upgrade ... 51 181 220 769 3,566 4,148 66.8 50.8 53.1 Lighting...

412

c25.xls  

Annual Energy Outlook 2012 (EIA)

... 87 134 54 56 2,005 2,347 1,417 1,250 43.6 56.9 38.2 45.0 HVAC Equipment Upgrade ... 114 188 88 63 2,265 3,003 1,713 1,501 50.2 62.8 51.3...

413

c6.xls  

Gasoline and Diesel Fuel Update (EIA)

4,296 3,448 2,812 2,575 16.20 11.71 14.00 17.09 1.73 1.33 1.45 1.71 HVAC Equipment Upgrade ... 5,929 4,223 3,914 2,832 17.53 11.44 14.10 16.51 1.96 1.27...

414

c24.xls  

Annual Energy Outlook 2012 (EIA)

Re-Configuration ... 1,191 47.2 36.1 21.6 39.7 71.1 8.7 0.35 7.33 HVAC Equipment Upgrade ... 1,480 53.4 40.5 19.2 40.9 74.1 10.7 0.39 7.24 Lighting...

415

c20.xls  

Annual Energy Outlook 2012 (EIA)

26 34 27 20 11 1,983 2,300 2,282 1,388 548 13.1 14.8 11.9 14.1 19.9 HVAC Equipment Upgrade ... 31 43 39 28 14 2,415 3,076 2,660 1,879 736 12.7 14.0 14.8...

416

a1.xls  

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

4,859 71,658 14.7 5.0 Table A1. Summary Table for All Buildings (Including Malls), 2003 Climate Zone: 30-Year Average Under 2,000 CDD and -- More than 7,000 HDD...

417

oil1984.xls  

Gasoline and Diesel Fuel Update (EIA)

5.7 13.9 93 38 81.9 30 732 0.30 642 233 Rural 6.2 5.7 11.4 61 30 55.9 20 476 0.24 438 155 Climate Zone (1) Fewer than 2,000 CDD and-- More than 7,000 HDD 2.1 1.8 4.4 95 38 80.5 30...

418

oil1990.xls  

Gasoline and Diesel Fuel Update (EIA)

17.2 83 32 73.2 26 669 0.26 588 208 Suburban 4.8 4.5 9.2 58 28 54.6 19 463 0.23 439 156 Climate Zone (1) Fewer than 2,000 CDD and-- More than 7,000 HDD 2.7 2.5 6.5 90 34 81.6 30...

419

sup_elec.xls  

Annual Energy Outlook 2012 (EIA)

gas, and blast furnace gas for utilities; and hydrogen, sulfur, batteries, chemicals, fish oil, and spent sulfite liquor. 4 Includes conventional hydroelectric, geothermal,...

420

c33.xls  

Annual Energy Outlook 2012 (EIA)

Fuel Oil Expenditures Number of Buildings (thousand) Floorspace (million square feet) Floorspace per Building (thousand square feet) Total (trillion Btu) Total (million gallons)...

Note: This page contains sample records for the topic "xls files graphs" 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

table5.xls  

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

215 215 1,353 1,511 1,602 1,793 2,287 Household Characteristics Census Region and Division Northeast............................................................... 227 248 274 295 299 378 New England........................................................ 64 64 67 75 84 122 Middle Atlantic ..................................................... 164 184 208 221 215 256 Midwest ................................................................. 298 327 379 403 479 560 East North Central............................................... 198 216 263 296 335 385 West North Central ............................................. 99 111 115 108 144 175 South..................................................................... 436 486 534 571 655 871 South Atlantic.......................................................

422

b22.xls  

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

Revised June 2006 Revised June 2006 144 Released: Dec 2006 Next CBECS will be conducted in 2007 Elec- tricity Natural Gas Fuel Oil District Heat District Chilled Water Propane Other a All Buildings* .................................. 4,645 4,414 4,404 2,391 451 67 33 502 132 Table B22. Energy Sources, Number of Buildings for Non-Mall Buildings, 2003 Number of Buildings (thousand) Energy Sources Used (more than one may apply) All Buildings* Buildings Using Any Energy Source Number of Workers (main shift) Fewer than 5 ..................................... 2,653 2,425 2,415 1,082 252 20 Q 318 84 5 to 9 ................................................ 778 775 775 474 67 Q Q 75 Q 10 to 19 ............................................. 563 563 563 359 38 Q Q 59 Q 20 to 49 ............................................. 398 397 397

423

table12.xls  

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

5.1 5.1 99.1 81.1 98.2 104.7 150.3 Household Characteristics Census Region and Division Northeast............................................................... 17.5 17.6 14.2 17.8 17.2 24.3 New England........................................................ 4.7 4.4 3.5 4.5 4.8 8.1 Middle Atlantic ..................................................... 12.8 13.2 10.7 13.3 12.4 16.2 Midwest ................................................................. 24.0 24.7 20.4 25.0 26.5 37.4 East North Central............................................... 16.0 16.1 14.0 17.9 18.5 25.7 West North Central ............................................. 8.0 8.7 6.3 7.1 8.0 11.7 South..................................................................... 34.2 35.7 29.1 34.9 37.7 54.4 South Atlantic.......................................................

424

b10.xls  

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

One One Floor Two Floors Three Floors Four to Nine Floors Ten or More Floors All Build- ings* One Floor Two Floors Three Floors Four to Nine Floors Ten or More Floors All Buildings* .................................. 4,645 3,136 1,031 339 128 12 64,783 25,981 16,270 7,501 10,085 4,947 Building Floorspace (Square Feet) 1,001 to 5,000 ................................... 2,552 2,014 411 115 Q N 6,789 5,192 1,217 343 Q N 5,001 to 10,000 ................................. 889 564 239 70 Q N 6,585 4,150 1,814 504 Q N 10,001 to 25,000 ............................... 738 399 248 74 18 Q 11,535 6,160 3,966 1,115 292 Q 25,001 to 50,000 ............................... 241 92 77 46 26 Q 8,668 3,296 2,772 1,631 964 Q 50,001 to 100,000 ............................. 129 46 35 21 25 Q 9,057 3,187 2,456 1,481 1,822 Q 100,001 to 200,000 ........................... 65 16 13

425

table4.xls  

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

.8 .8 1.8 1.8 1.8 1.8 1.9 Household Characteristics Census Region and Division Northeast............................................................... 1.7 1.7 1.7 1.7 1.8 1.8 New England........................................................ 1.8 1.6 1.8 1.7 1.9 1.9 Middle Atlantic ..................................................... 1.7 1.7 1.7 1.7 1.8 1.8 Midwest ................................................................. 1.8 1.7 1.8 1.8 1.9 2.0 East North Central............................................... 1.7 1.7 1.8 1.8 1.9 2.0 West North Central ............................................. 1.9 1.9 1.9 1.8 1.9 2.0 South..................................................................... 1.8 1.8 1.8 1.8 1.9 1.9 South Atlantic.......................................................

426

b5.xls  

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

West West South Central Mountain Pacific All Buildings* .................................. 64,783 2,964 9,941 11,595 5,485 12,258 3,393 7,837 3,675 7,635 Building Floorspace (Square Feet) 1,001 to 5,000 ................................... 6,789 360 666 974 922 1,207 538 788 464 871 5,001 to 10,000 ................................. 6,585 359 764 843 722 1,387 393 879 418 820 10,001 to 25,000 ............................... 11,535 553 1,419 1,934 1,164 2,240 810 1,329 831 1,256 25,001 to 50,000 ............................... 8,668 347 944 1,618 949 1,672 498 998 511 1,132 50,001 to 100,000 ............................. 9,057 516 1,524 1,618 642 1,470 650 1,314 374 948 100,001 to 200,000 ........................... 9,064 414 1,703 1,682 614 2,087 Q 1,131 Q 895 200,001 to 500,000 ........................... 7,176 Q 1,673 1,801 395 1,072

427

b17.xls  

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

4,645 4,645 4,011 1,841 2,029 141 635 46 164 425 Building Floorspace (Square Feet) 1,001 to 5,000 ................................... 2,552 2,272 980 1,205 87 280 Q 77 183 5,001 to 10,000 ................................. 889 783 384 375 Q 106 Q Q 87 10,001 to 25,000 ............................... 738 625 320 293 Q 113 Q 40 64 25,001 to 50,000 ............................... 241 185 91 86 Q 56 Q 16 36 50,001 to 100,000 ............................. 129 82 35 40 Q 47 Q 9 37 100,001 to 200,000 ........................... 65 43 21 20 Q 22 Q 8 12 200,001 to 500,000 ........................... 25 16 7 8 Q 9 2 1 5 Over 500,000 .................................... 7 5 2 3 N 2 1 Q Q Principal Building Activity Education .......................................... 386 141 83 58 N 245 Q 59 175 Food Sales ....................................... 226 224 94 130 N Q N

428

a1.xls  

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

October 2006 October 2006 Next CBECS will be conducted in 2007 Number of Buildings (thousand) Total Floorspace (million square feet) Mean Square Feet per Building (thousand) Median Square Feet per Building (thousand) All Buildings .................................... 4,859 71,658 14.7 5.0 Table A1. Summary Table for All Buildings (Including Malls), 2003 Climate Zone: 30-Year Average Under 2,000 CDD and -- More than 7,000 HDD ..................... 882 11,529 13.1 4.8 5,500-7,000 HDD ............................ 1,229 18,808 15.3 5.0 4,000-5,499 HDD ............................ 701 12,503 17.8 4.8 Fewer than 4,000 HDD ................... 1,336 17,630 13.2 4.5 2,000 CDD or More and -- Fewer than 4,000 HDD ................... 711 11,189 15.7 5.0 Number of Establishments One ...................................................

429

table11.xls  

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

5.1 5.1 16.1 18.3 19.3 19.8 20.2 Household Characteristics Census Region and Division Northeast............................................................... 15.6 NA 19.6 20.9 20.7 20.9 New England........................................................ 16.5 NA 19.7 21.1 20.4 21.0 Middle Atlantic ..................................................... 15.3 NA 19.6 20.8 20.8 20.8 Midwest ................................................................. 14.8 NA 18.2 19.0 20.1 20.2 East North Central............................................... 14.9 NA 18.4 19.4 20.1 20.3 West North Central ............................................. 14.5 NA 17.8 17.9 20.0 20.0 South..................................................................... 15.0 NA 18.0 19.2 19.6 20.2 South Atlantic.......................................................

430

b22.xls  

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

Released: Dec 2006 Next CBECS will be conducted in 2007 Elec- tricity Natural Gas Fuel Oil District Heat District Chilled Water Propane Other a All Buildings* .................................. 4,645 4,414 4,404 2,391 451 67 33 502 132 Table B22. Energy Sources, Number of Buildings for Non-Mall Buildings, 2003 Number of Buildings (thousand) Energy Sources Used (more than one may apply) All Buildings* Buildings Using Any Energy Source Number of Workers (main shift) Fewer than 5 ..................................... 2,653 2,425 2,415 1,082 252 20 Q 318 84 5 to 9 ................................................ 778 775 775 474 67 Q Q 75 Q 10 to 19 ............................................. 563 563 563 359 38 Q Q 59 Q 20 to 49 ............................................. 398 397 397 289 36 16 6 30 13 50 to 99 .............................................

431

Table1.xls  

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

Reporting Entities, Data Year 2005 Reporting Entities, Data Year 2005 Reporter Name Sector Type of Form Number of Projects Reported (Schedule II) Entity-Wide Report (Schedule III) Commitments (Schedule IV) A&N Electric Cooperative Electric Providers 1605 2 No Yes Abe Krasne Home Furnishings, Inc. Services and Retail 1605 0 Yes No AES Hawaii, Inc. Electric Providers 1605 1 Yes No AES SeaWest, Inc. Electric Providers 1605 11 No No AES Shady Point, LLC Electric Providers 1605 1 Yes No AES Thames, LLC Electric Providers 1605 1 Yes Yes AES Warrior Run, LLC Electric Providers 1605 2 Yes No Alabama Biomass Partners, Ltd Alternative Energy 1605EZ 1 No No Alcan Primary Products Corporation, Sebree Works Industrial 1605 1 Yes Yes Algonquin Power - Cambrian Pacific Genco LLC Alternative Energy 1605 9 No No Allegheny Energy, Inc. Electric Providers

432

b45.xls  

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

4,645 4,645 3,176 1,007 666 308 696 2,370 996 Building Floorspace (Square Feet) 1,001 to 5,000 ................................... 2,552 1,591 486 332 142 353 1,159 268 5,001 to 10,000 ................................. 889 642 188 124 65 117 494 181 10,001 to 25,000 ............................... 738 548 138 75 40 103 427 250 25,001 to 50,000 ............................... 241 196 78 44 19 53 148 134 50,001 to 100,000 ............................. 129 114 60 44 19 34 81 89 100,001 to 200,000 ........................... 65 58 36 29 13 23 41 48 200,001 to 500,000 ........................... 25 21 16 14 7 9 16 19 Over 500,000 .................................... 7 6 5 5 3 3 4 6 Principal Building Activity Education .......................................... 386 254 93 59 31 54 203 113 Food Sales ....................................... 226 212

433

b9.xls  

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

64,783 64,783 3,769 6,871 7,045 8,101 10,772 10,332 12,360 5,533 Building Floorspace (Square Feet) 1,001 to 5,000 ................................... 6,789 490 796 860 690 966 1,149 1,324 515 5,001 to 10,000 ................................. 6,585 502 827 643 865 1,332 721 1,209 486 10,001 to 25,000 ............................... 11,535 804 988 1,421 1,460 1,869 1,647 2,388 958 25,001 to 50,000 ............................... 8,668 677 838 935 1,234 1,720 1,174 1,352 739 50,001 to 100,000 ............................. 9,057 491 641 927 1,483 1,146 1,390 2,058 921 100,001 to 200,000 ........................... 9,064 Q 704 1,148 1,039 1,411 1,496 1,934 1,060 200,001 to 500,000 ........................... 7,176 Q 1,288 569 947 1,243 1,237 984 609 Over 500,000 .................................... 5,908 Q 790 541 382 1,085 1,518 1,111 Q Principal Building Activity

434

Summer Tables.xls  

Gasoline and Diesel Fuel Update (EIA)

8 8 1 September 2008 Short-Term Energy Outlook September 9, 2008 Release Highlights The monthly average price of West Texas Intermediate (WTI) crude oil decreased from over $133 per barrel in June and July to about $117 per barrel in August, reflecting expectations of a slowdown in world petroleum demand growth. WTI, which averaged $72 per barrel in 2007, is projected to average $116 per barrel in 2008. Projected stronger growth in world petroleum demand is expected to increase the annual average WTI price to $126 per barrel in 2009. The weekly price of regular-grade gasoline, which peaked at $4.11 per gallon on July 14, averaged $3.65 per gallon on September 8. Annual average retail

435

july2007.xls  

Gasoline and Diesel Fuel Update (EIA)

May 2007 Section 1. Commentary Electric Power Data For the contiguous U.S., the overall temperature for May 2007 was 2.1ºF (1.2ºC) above the average temperature observed for the month of May over the 1971-2000 time period. This was the 11th warmest May on record, with most of the contiguous U.S. observing warmer-than-normal temperatures except for Texas and South Carolina. Heating degree days for May 2007 were 32.7 percent below the normal observed over the 1971-2000 time period, and 21.9 percent lower than what was recorded in May 2006. As a further indicator of the warmer-than-normal temperatures observed across the U.S., cooling degree days for May 2007 were 7.7 percent above the 1971-2000 normal, and 2.8 percent higher than what was recorded in May 2006.

436

web_comments.xls  

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

Rec Type Rec Type Recommendations/ Comments Name Organization 1/9/2004 Reliability Standards Future reliability standards must strike a balance between detailed, rigid requirements, which provide little or no latitude for deviation, and standards, which are objective-based and allow for innovation and invention to achieve intended goals. Each standard should identify its importance on the BPS reliability in terms of the potential short-term (operating time horizon) vs. long-term (planning time horizon) impacts of non-compliance. Ajay Garg, Mike Penstone Hydro One Networks Inc. 1/9/2004 Reliability Standards Core Reliability Standards: comprising a small number of technical standards designed to enable the BPS to withstand and recover from unexpected contingencies. Core Reliability

437

January 2014.XLS  

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

5 - 2012 5 - 2012 2013 2014 2015 ADVANCED RESEARCH PROJECTS AGENCY - ENERGY Jan Feb Mar Apr May Jun July Aug Sep Oct Nov Dec Jan Feb Mar Apr May Jun July Aug Sep Oct Nov Dec Jan Feb Mar Apr May Jun July Aug Sep Oct Nov Dec 1. Engineered High Energy Crops Programmatic EIS (DOE/EIS-0481) ELECTRICITY DELIVERY AND ENERGY RELIABILITY 2. Presidential Permit Application, Champlain Hudson Power Express Transmission Line (DOE/EIS-0447) 3. Presidential Permit Application, Northern Pass Transmission LLC, NH (DOE/EIS-0463) 4. Plains and Eastern Clean Line Transmission Project (DOE/EIS-0486) 5. Hawaii Clean Energy Programmatic EIS (DOE/EIS-0459) ENVIRONMENTAL MANAGEMENT 6. Disposal of Greater-Than-Class C Low-Level Radioactive Waste

438

b14.xls  

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

64,783 64,783 12,208 3,939 1,090 3,754 4,050 10,078 Building Floorspace (Square Feet) 1,001 to 5,000 ................................... 6,789 1,382 336 122 416 1,034 895 5,001 to 10,000 ................................. 6,585 938 518 Q 744 722 868 10,001 to 25,000 ............................... 11,535 1,887 1,077 Q 1,235 1,021 2,064 25,001 to 50,000 ............................... 8,668 1,506 301 Q 930 560 1,043 50,001 to 100,000 ............................. 9,057 1,209 474 Q Q Q 1,494 100,001 to 200,000 ........................... 9,064 1,428 868 Q Q Q 1,162 200,001 to 500,000 ........................... 7,176 1,493 Q Q Q Q 1,322 Over 500,000 .................................... 5,908 2,365 Q Q N Q Q Year Constructed Before 1920 ...................................... 3,769 749 323 Q 586 Q 254 1920 to 1945 .....................................

439

b26.xls  

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

4,645 4,645 3,982 1,766 2,165 360 65 372 113 Building Floorspace (Square Feet) 1,001 to 5,000 ................................... 2,552 2,100 888 1,013 196 Q 243 72 5,001 to 10,000 ................................. 889 782 349 450 86 Q 72 Q 10,001 to 25,000 ............................... 738 659 311 409 46 18 38 Q 25,001 to 50,000 ............................... 241 225 114 151 11 9 11 Q 50,001 to 100,000 ............................. 129 123 60 84 8 8 Q Q 100,001 to 200,000 ........................... 65 62 29 39 9 9 Q Q 200,001 to 500,000 ........................... 25 24 11 15 4 4 Q Q Over 500,000 .................................... 7 6 3 4 1 2 Q Q Principal Building Activity Education .......................................... 386 382 180 186 21 25 36 Q Food Sales ....................................... 226 188 98 79 Q N Q Q Food Service .....................................

440

table2.xls  

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

6 6 89 89 89 87 92 Household Characteristics Census Region and Division Northeast............................................................... 77 NA 79 83 75 85 New England........................................................ 88 NA 82 83 82 89 Middle Atlantic ..................................................... 74 NA 78 82 74 84 Midwest ................................................................. 86 NA 91 90 92 91 East North Central............................................... 82 NA 89 90 92 91 West North Central ............................................. 94 NA 95 91 94 94 South..................................................................... 87 NA 91 91 89 96 South Atlantic....................................................... 87 NA 89 90 88 94 East South Central...............................................

Note: This page contains sample records for the topic "xls files graphs" 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

Table 4.xls  

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

Emission Reductions and Sequestration Reported at Project and Entity Levels, Data Year 2005 Emission Reductions and Sequestration Reported at Project and Entity Levels, Data Year 2005 (Metric Tons Carbon Dioxide Equivalent) Report Name Sector Reduction Type Project Level Entity Level A&N Electric Cooperative Electric Providers Indirect 6,243 AES Hawaii, Inc. Electric Providers Sequestration 1,540,000 1,540,000 AES SeaWest, Inc. Electric Providers Direct 16 Indirect 220,420 AES Shady Point, LLC Electric Providers Sequestration 4,150,000 4,150,000 AES Thames, LLC Electric Providers Sequestration 410,000 410,000 AES Warrior Run, LLC Electric Providers Direct 41,386 41,386 Alabama Biomass Partners, Ltd Alternative Energy Unspecified (EZ) 77,012 Alcan Primary Products Corporation, Sebree Works Industrial Direct 457,800 457,800 Algonquin Power - Cambrian Pacific Genco LLC Alternative Energy

442

eia857.xls  

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

operational sendout to consumers of gas owned and not owned operational sendout to consumers of gas owned and not owned Residential Industrial Electric Power Other (not included in above categories) Residential Commercial (excluding vehicle fuel) Vehicle Fuel Industrial Electric Power Other (not included in above categories) Total of all deliveries (Lines 3.0 through 12.0) Heat content of gas delivered to consumers (Btu/cubic ft.): 6.0 4.1 (Specify Type) ................................................................... Deliveries of natural gas that you do not own to consumers within the report State U. S. Department of Energy Oil & Gas Survey Ben Franklin Station P.O. Box 279 Washington, DC 20044-0279 12.0 Revenue (Mcf @ 14.73 psia-60 o F) (Including taxes) Call: (Mcf @ 14.73 psia-60 o F) (877) 800-5261 Cost Questions? Volume (Including taxes)

443

b6.xls  

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

Revised June 2006 Revised June 2006 49 Released: June 2006 Next CBECS will be conducted in 2007 1,001 to 5,000 Square Feet 5,001 to 10,000 Square Feet 10,000 to 25,000 Square Feet 25,001 to 50,000 Square Feet 50,001 to 100,000 Square Feet 100,001 to 200,000 Square Feet 200,001 to 500,000 Square Feet Over 500,000 Square Feet All Buildings* .................................. 4,645 2,552 889 738 241 129 65 25 7 Table B6. Building Size, Number of Buildings for Non-Mall Buildings, 2003 Number of Buildings (thousand) All Buildings* Building Size Elevators and Escalators (more than one may apply) Any Elevators .................................... 309 Q 29 61 81 57 41 19 5 Number of Elevators One ................................................. 208 Q 29 57 62 29 11 4 Q Two to Five .....................................

444

table1.xls  

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

2.2 2.2 77.7 81.3 84.6 84.9 98.9 Household Characteristics Census Region and Division Northeast............................................................... 13.9 15.0 15.2 16.0 14.7 17.7 New England........................................................ 3.8 3.7 3.6 3.9 4.1 5.4 Middle Atlantic ..................................................... 10.1 11.3 11.6 12.1 10.7 12.3 Midwest ................................................................. 18.3 19.5 20.4 21.1 21.6 23.6 East North Central............................................... 12.3 13.2 14.3 15.1 15.1 16.3 West North Central ............................................. 6.0 6.4 6.1 6.0 6.5 7.3 South..................................................................... 24.7 27.0 28.3 29.5 30.2 36.2 South Atlantic.......................................................

445

b38.xls  

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

Released: October 2006 Next CBECS will be conducted in 2007 Heat Pumps Furnaces Individual Space Heaters District Heat Boilers Packaged Heating Units Other All Buildings* .................................. 4,645 3,982 476 1,864 819 65 579 953 205 Table B38. Heating Equipment, Number of Buildings for Non-Mall Buildings, 2003 Heating Equipment (more than one may apply) Number of Buildings (thousand) All Buildings* Heated Buildings Number of Floors One ................................................... 3,136 2,566 334 1,193 550 14 190 682 140 Two ................................................... 1,031 960 97 487 174 19 194 207 50 Three ................................................ 339 319 31 155 68 10 119 41 Q Four to Nine ...................................... 128 125 11 28 25 19 69 20 4 Ten or More ......................................

446

b43.xls  

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

4,645 4,645 4,248 2,184 3,943 941 455 565 Building Floorspace (Square Feet) 1,001 to 5,000 ................................... 2,552 2,261 1,070 2,068 382 101 205 5,001 to 10,000 ................................. 889 821 416 772 148 88 107 10,001 to 25,000 ............................... 738 716 412 665 189 105 123 25,001 to 50,000 ............................... 241 231 145 223 102 60 55 50,001 to 100,000 ............................. 129 126 75 123 60 51 37 100,001 to 200,000 ........................... 65 63 43 62 38 32 25 200,001 to 500,000 ........................... 25 24 17 24 16 13 10 Over 500,000 .................................... 7 6 5 6 5 4 4 Principal Building Activity Education .......................................... 386 384 132 368 97 59 39 Food Sales ....................................... 226 221 78 217 35 Q Q Food Service .....................................

447

table8.xls  

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

80.3 80.3 83.9 82.4 82.8 90.6 113.1 Household Characteristics Census Region and Division Northeast............................................................... 14.5 14.6 14.0 14.1 14.5 18.1 New England........................................................ 3.9 3.6 3.4 3.5 4.1 5.8 Middle Atlantic ..................................................... 10.7 11.0 10.6 10.6 10.4 12.3 Midwest ................................................................. 20.2 20.9 20.8 21.3 23.8 27.8 East North Central............................................... 13.3 13.5 14.3 15.2 16.7 19.1 West North Central ............................................. 6.8 7.4 6.5 6.0 7.2 8.7 South..................................................................... 29.1 30.7 29.6 29.8 33.5 43.2 South Atlantic.......................................................

448

b40.xls  

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

4,645 4,645 3,625 1,006 492 742 33 111 1,613 122 40 Building Floorspace (Square Feet) 1,001 to 5,000 ................................... 2,552 1,841 581 260 383 Q Q 678 58 Q 5,001 to 10,000 ................................. 889 732 207 78 134 Q Q 367 26 Q 10,001 to 25,000 ............................... 738 629 140 87 114 Q 26 332 26 Q 25,001 to 50,000 ............................... 241 216 47 33 62 6 19 119 Q Q 50,001 to 100,000 ............................. 129 118 19 20 27 5 24 67 Q Q 100,001 to 200,000 ........................... 65 60 8 8 16 6 17 32 Q Q 200,001 to 500,000 ........................... 25 23 4 4 4 2 10 13 Q Q Over 500,000 .................................... 7 6 1 1 1 1 3 3 Q Q Principal Building Activity Education .......................................... 386 352 59 63 87 14 36 139 Q Q Food Sales .......................................

449

a3.xls  

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

4,859 252 509 728 577 926 360 587 316 603 Building Floorspace (Square Feet) 1,001 to 5,000 ................................... 2,586 134 240 372 356 474 217 294 166 333 5,001 to 10,000 ................................. 948 49 106 128 100 200 59 127 62 117 10,001 to 25,000 ............................... 810 46 92 133 78 151 54 103 61 91 25,001 to 50,000 ............................... 261 10 29 48 27 52 16 28 16 34 50,001 to 100,000 ............................. 147 8 23 25 10 26 11 21 7 15 100,001 to 200,000 ........................... 74 3 12 14 5 18 Q 10 3 7 200,001 to 500,000 ........................... 26 Q 6 6 1 4 Q 3 1 3 Over 500,000 .................................... 8 Q 2 1 Q 2 Q Q Q 1 Principal Building Activity Education .......................................... 386 Q 21 34 29 87 Q 56 39 97 Food Sales .......................................

450

b31.xls  

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

4,645 4,645 3,472 1,910 1,445 94 27 128 Building Floorspace (Square Feet) 1,001 to 5,000 ................................... 2,552 1,715 1,020 617 41 N 66 5,001 to 10,000 ................................. 889 725 386 307 Q Q 27 10,001 to 25,000 ............................... 738 607 301 285 16 Q 27 25,001 to 50,000 ............................... 241 217 110 114 Q Q Q 50,001 to 100,000 ............................. 129 119 53 70 Q 5 Q 100,001 to 200,000 ........................... 65 60 27 35 Q 5 Q 200,001 to 500,000 ........................... 25 23 9 14 Q 2 Q Over 500,000 .................................... 7 6 3 3 Q 1 N Principal Building Activity Education .......................................... 386 298 144 149 10 6 15 Food Sales ....................................... 226 186 109 68 Q N Q Food Service .....................................

451

b7.xls  

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

Square Square Feet 50,001 to 100,000 Square Feet 100,001 to 200,000 Square Feet 200,001 to 500,000 Square Feet Over 500,000 Square Feet All Buildings* .................................. 64,783 6,789 6,585 11,535 8,668 9,057 9,064 7,176 5,908 Principal Building Activity Education .......................................... 9,874 409 399 931 1,756 2,690 2,167 1,420 Q Food Sales ....................................... 1,255 409 356 Q Q Q Q N N Food Service ..................................... 1,654 544 442 345 Q Q N Q N Health Care ....................................... 3,163 165 280 313 157 364 395 514 973 Inpatient .......................................... 1,905 N N Q Q Q Q 467 973 Outpatient ....................................... 1,258 165 280 312 Q 206 Q Q N Lodging ............................................. 5,096 99

452

table10.xls  

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

1,112 1,079 1,014 979 1,067 1,143 Household Characteristics Census Region and Division Northeast........................... 1,044 972 917 886 982 1,027 New England....................... 1,019 972 942 911 1,006 1,086 Middle Atlantic .................. 1,054 971 909 877 973 1,001 Midwest ............................ 1,104 1,070 1,016 1,008 1,104 1,176 East North Central................ 1,082 1,025 996 1,008 1,102 1,164 West North Central ............... 1,149 1,163 1,062 1,008 1,110 1,205 South............................... 1,178 1,137 1,046 1,008 1,109 1,193 South Atlantic.................... 1,177 1,099 1,028 963 1,111 1,146 East South Central................ 1,160 1,164 1,036 1,083 1,167 1,273 West South Central................ 1,192 1,185 1,081 1,033 1,073 1,244 West................................

453

b28.xls  

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

4,645 4,645 3,982 1,258 1,999 282 63 Building Floorspace (Square Feet) 1,001 to 5,000 ................................... 2,552 2,100 699 955 171 Q 5,001 to 10,000 ................................. 889 782 233 409 58 Q 10,001 to 25,000 ............................... 738 659 211 372 32 Q 25,001 to 50,000 ............................... 241 225 63 140 8 9 50,001 to 100,000 ............................. 129 123 32 73 6 8 100,001 to 200,000 ........................... 65 62 15 33 Q 9 200,001 to 500,000 ........................... 25 24 5 13 Q 4 Over 500,000 .................................... 7 6 1 3 Q 2 Principal Building Activity Education .......................................... 386 382 141 172 14 24 Food Sales ....................................... 226 188 94 68 Q N Food Service ..................................... 297 282

454

b16.xls  

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

64,783 64,783 15,492 6,166 7,803 10,989 7,934 6,871 9,528 Building Floorspace (Square Feet) 1,001 to 5,000 ................................... 6,789 4,659 1,264 689 155 Q Q N 5,001 to 10,000 ................................. 6,585 3,323 1,373 1,109 689 Q Q N 10,001 to 25,000 ............................... 11,535 4,006 2,075 2,456 2,113 692 Q N 25,001 to 50,000 ............................... 8,668 1,222 836 1,327 2,920 1,648 667 Q 50,001 to 100,000 ............................. 9,057 704 291 1,157 2,865 2,151 1,518 371 100,001 to 200,000 ........................... 9,064 804 Q Q 1,558 2,014 2,455 1,452 200,001 to 500,000 ........................... 7,176 Q Q Q 533 1,077 1,706 2,571 Over 500,000 .................................... 5,908 Q N N Q Q Q 5,087 Principal Building Activity Education ..........................................

455

b4.xls  

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

East East South Central West South Central Mountain Pacific All Buildings* .................................. 4,645 233 493 696 571 874 348 553 299 580 Building Floorspace (Square Feet) 1,001 to 5,000 ................................... 2,552 127 237 369 356 457 215 294 165 333 5,001 to 10,000 ................................. 889 48 101 117 97 189 56 116 56 110 10,001 to 25,000 ............................... 738 37 90 122 75 139 51 88 54 81 25,001 to 50,000 ............................... 241 10 26 44 27 47 15 26 14 32 50,001 to 100,000 ............................. 129 7 21 24 10 21 10 18 5 13 100,001 to 200,000 ........................... 65 3 12 12 5 16 Q 8 Q 6 200,001 to 500,000 ........................... 25 Q 6 6 1 4 Q 2 1 3 Over 500,000 .................................... 7 Q 1 1 Q 1 Q Q Q 1 Principal Building Activity Education ..........................................

456

table13.xls  

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

736 736 722 550 650 668 787 Household Characteristics Census Region and Division Northeast............................................................... 731 NA 532 660 647 766 New England........................................................ 706 NA 526 687 637 810 Middle Atlantic ..................................................... 740 NA 534 651 651 746 Midwest ................................................................. 738 NA 539 651 644 793 East North Central............................................... 751 NA 539 650 639 792 West North Central ............................................. 714 NA 538 654 656 793 South..................................................................... 758 NA 575 663 673 776 South Atlantic.......................................................

457

b23.xls  

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

64,783 64,783 63,343 63,307 43,468 15,157 5,443 2,853 7,076 1,401 Building Floorspace (Square Feet) 1,001 to 5,000 ................................... 6,789 6,362 6,346 3,084 600 Q Q 806 199 5,001 to 10,000 ................................. 6,585 6,212 6,197 3,692 716 Q Q 725 Q 10,001 to 25,000 ............................... 11,535 11,370 11,370 7,053 966 289 Q 1,014 Q 25,001 to 50,000 ............................... 8,668 8,385 8,385 6,025 825 369 240 638 Q 50,001 to 100,000 ............................. 9,057 9,031 9,031 6,683 1,740 574 332 925 Q 100,001 to 200,000 ........................... 9,064 9,018 9,018 6,645 2,927 1,399 793 989 Q 200,001 to 500,000 ........................... 7,176 7,056 7,051 5,679 3,400 1,018 495 1,165 Q Over 500,000 .................................... 5,908 5,908 5,908 4,606 3,981 1,693 822 Q Q Principal Building Activity

458

b41.xls  

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

64,783 64,783 56,940 11,035 9,041 12,558 2,853 11,636 29,969 1,561 1,232 Building Floorspace (Square Feet) 1,001 to 5,000 ................................... 6,789 5,007 1,568 675 972 Q Q 1,957 179 Q 5,001 to 10,000 ................................. 6,585 5,408 1,523 563 1,012 Q Q 2,741 207 Q 10,001 to 25,000 ............................... 11,535 9,922 2,173 1,441 1,740 Q 456 5,260 378 Q 25,001 to 50,000 ............................... 8,668 7,776 1,683 1,155 2,301 240 729 4,264 Q Q 50,001 to 100,000 ............................. 9,057 8,331 1,388 1,440 1,958 332 1,722 4,732 Q Q 100,001 to 200,000 ........................... 9,064 8,339 993 1,158 2,259 793 2,366 4,504 Q Q 200,001 to 500,000 ........................... 7,176 6,565 1,136 1,273 1,223 495 3,023 3,834 Q Q Over 500,000 .................................... 5,908 5,591 569 1,334 1,095

459

a2.xls  

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

North North east Mid- west South West All Buildings North- east Mid- west South West All Buildings .................................... 4,859 761 1,305 1,873 920 71,658 13,995 18,103 26,739 12,820 Building Floorspace (Square Feet) 1,001 to 5,000 ................................... 2,586 374 728 985 499 6,922 1,059 1,908 2,618 1,337 5,001 to 10,000 ................................. 948 155 228 386 179 7,033 1,169 1,676 2,844 1,343 10,001 to 25,000 ............................... 810 138 211 308 152 12,659 2,122 3,317 4,859 2,361 25,001 to 50,000 ............................... 261 39 75 96 50 9,382 1,388 2,712 3,474 1,808 50,001 to 100,000 ............................. 147 31 35 58 22 10,291 2,272 2,376 4,059 1,584 100,001 to 200,000 ........................... 74 15 18 30 10 10,217 2,238 2,486 4,140 1,353 200,001 to 500,000 ...........................

460

table6.xls  

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

.4 .4 9.9 10.2 10.6 11.4 12.0 Household Characteristics Census Region and Division Northeast............................................................... 9.5 NA 10.3 10.9 11.3 11.9 New England........................................................ 9.6 NA 10.2 11.4 11.1 12.3 Middle Atlantic ..................................................... 9.5 NA 10.3 10.8 11.3 11.7 Midwest ................................................................. 9.2 NA 10.0 10.5 11.6 11.9 East North Central............................................... 9.3 NA 10.1 10.7 11.6 11.9 West North Central ............................................. 8.8 NA 9.8 10.0 11.8 11.9 South..................................................................... 9.7 NA 10.6 10.8 11.7 12.4 South Atlantic.......................................................

Note: This page contains sample records for the topic "xls files graphs" 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

b11.xls  

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

Lodging Lodging Retail (Other Than Mall) Table B11. Selected Principal Building Activity: Part 1, Number of Buildings for Non- Mall Buildings, 2003 Principal Building Activity Number of Buildings (thousand) Health Care All Buildings* Education Food Sales Food Service Energy Information Administration 2003 Commercial Buildings Energy Consumption Survey: Building Characteristics Tables Released: June 2006 Next CBECS will be conducted in 2007 Inpatient Outpatient All Buildings* .................................. 4,645 386 226 297 8 121 142 443 Lodging Retail (Other Than Mall) Table B11. Selected Principal Building Activity: Part 1, Number of Buildings for Non- Mall Buildings, 2003 Principal Building Activity Number of Buildings (thousand) Health Care All Buildings* Education Food Sales Food

462

a6.xls  

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

71,658 71,658 6,922 7,033 12,659 9,382 10,291 10,217 7,494 7,660 Principal Building Activity Education .......................................... 9,874 409 399 931 1,756 2,690 2,167 1,420 Q Food Sales ....................................... 1,255 409 356 Q Q Q Q N N Food Service ..................................... 1,654 544 442 345 Q Q N Q N Health Care ....................................... 3,163 165 280 313 157 364 395 514 973 Inpatient .......................................... 1,905 N N Q Q Q Q 467 973 Outpatient ....................................... 1,258 165 280 312 Q 206 Q Q N Lodging ............................................. 5,096 99 160 631 803 841 930 1,185 Q Mercantile ......................................... 11,192 771 1,173 2,409 1,291 1,505 1,677 462 1,905 Retail (Other Than Mall) .................. 4,317 638

463

b34.xls  

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

Revised June 2006 Revised June 2006 178 Released: Dec 2006 Next CBECS will be conducted in 2007 All Build- ings* Not Heated 1 to 50 Percent Heated 51 to 99 Percent Heated 100 Percent Heated All Build- ings* Not Heated 1 to 50 Percent Heated 51 to 99 Percent Heated 100 Percent Heated All Buildings* .................................. 4,645 663 523 498 2,962 64,783 4,756 6,850 8,107 45,071 Table B34. Percent of Floorspace Heated, Number of Buildings and Floorspace for Non- Mall Buildings, 2003 Number of Buildings (thousand) Total Floorspace (million square feet) Number of Floors One ................................................... 3,136 570 353 292 1,921 25,981 3,237 3,336 2,534 16,875 Two ................................................... 1,031 70 135 111 714 16,270 862 2,027 1,643 11,739 Three ................................................

464

c5.xls  

Gasoline and Diesel Fuel Update (EIA)

71 71 1,690 1,948 911 12,905 17,080 23,489 11,310 98.5 98.9 82.9 80.6 Building Floorspace (Square Feet) 1,001 to 5,000 ................................. 118 206 240 108 1,025 1,895 2,533 1,336 115.1 108.5 94.9 80.6 5,001 to 10,000 ............................... 102 117 185 112 1,123 1,565 2,658 1,239 90.7 74.7 69.5 90.8 10,001 to 25,000 ............................. 148 228 250 150 1,972 3,098 4,378 2,087 75.3 73.6 57.2 71.7 25,001 to 50,000 ............................. 106 247 205 114 1,292 2,567 3,168 1,643 82.4 96.3 64.8 69.4 50,001 to 100,000 ........................... 203 212 255 89 2,040 2,260 3,435 1,322 99.4 93.6 74.3 67.6 100,001 to 200,000 ......................... 209 252 375 97 2,117 2,296 3,475 1,177 98.8 109.8 107.9 82.7 200,001 to 500,000 ......................... 189 244 191 100 1,781 2,196 1,914 1,286 106.3 111.1 99.9 78.1 Over 500,000 ..................................

465

c32.xls  

Gasoline and Diesel Fuel Update (EIA)

571 571 871 427 12,097 19,763 11,608 47.2 44.1 36.8 Building Floorspace (Square Feet) 1,001 to 5,000 .................................. 85 98 59 1,222 1,214 648 69.5 81.0 91.5 5,001 to 10,000 ................................ 56 90 56 1,131 1,733 828 49.8 51.9 67.7 10,001 to 25,000 .............................. 103 141 57 2,392 2,909 1,752 42.9 48.4 32.3 25,001 to 50,000 .............................. 90 102 58 1,827 2,700 1,498 49.3 37.7 38.7 50,001 to 100,000 ............................ 68 112 57 1,636 3,178 1,869 41.4 35.1 30.5 100,001 to 200,000 .......................... 63 120 59 1,501 2,745 2,399 42.0 43.6 24.5 200,001 to 500,000 .......................... 45 104 50 1,496 2,748 1,435 30.1 37.8 34.8 Over 500,000 ................................... 62 105 Q 893 2,535 Q 69.1 41.4 Q Principal Building Activity Education .........................................

466

january2008.xls  

Gasoline and Diesel Fuel Update (EIA)

Chris Cassar at 202-586-5448, or at Christopher.Cassar@eia.doe.gov. Chris Cassar at 202-586-5448, or at Christopher.Cassar@eia.doe.gov. Monthly Flash Estimates of Data for: November 2007 Section 1. Commentary Electric Power Data According to the National Oceanic and Atmospheric Administration, November 2007 was the twenty-fifth warmest November over the 1895-2007 time period. Heating degree days were 3.3 percent below the average for the month of November, but 11.6 percent higher than what was recorded in a fairly mild November 2006. In November 2007, electricity generation was 1.4 percent higher than what was observed in November 2006, while retail sales of electricity increased 2.6 percent when compared to November 2006. The higher growth rate for sales of electricity relative to generation is influenced by the fact that the utility billing cycles tend to lag electricity production in many areas.

467

natgas1980.xls  

Gasoline and Diesel Fuel Update (EIA)

Household Member Household Member Building Foot Household Member Characteristics (million) (million) sq. ft.) Btu) Btu) (million Btu) (million Btu) (dollars) (dollars) (dollars) (dollars) Total U.S. Households 51.6 39.7 88.5 125 56 96.2 34 497 0.22 383 137 Census Region and Division Northeast 10.9 6.5 18.8 144 50 86.6 31 771 0.27 463 168 New England 1.9 0.9 3.1 162 47 78.9 28 971 0.28 472 169 Middle Atlantic 9.0 5.6 15.7 141 51 88.1 32 739 0.27 461 168 Midwest 15.5 12.4 29.4 164 70 131.6 46 586 0.25 470 165 East North Central 10.9 8.5 20.0 175 75 136.5 47 646 0.28 503 174 West North Central 4.6 3.9 9.4 141 59 120.0 44 456 0.19 389 143 South 13.3 11.4 21.1 99 53 84.4 30 389 0.21 333 118 South Atlantic 4.9 3.8 8.3 111 51 87.5 30 519 0.24 408 140 East South Central 2.3 2.0 3.7 102 55 86.4 33 371 0.2 314 119 West South Central 6.1 5.5 9.1 89 54 81.1 29 306 0.19 279 99 West 11.9 9.4 19.3 91 44 71.9 26

468

sup_rci.xls  

Gasoline and Diesel Fuel Update (EIA)

1 1 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 Equipment Stock (million units) Main Space Heaters Electric Heat Pumps 10.38 10.71 11.03 11.32 11.60 11.83 12.09 12.35 12.60 12.86 13.13 13.39 13.64 Electric Other 21.53 21.59 21.64 21.69 21.72 21.78 21.87 21.96 22.07 22.18 22.30 22.41 22.53 Natural Gas Heat Pumps 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 Natural Gas Other 59.99 60.71 61.44 62.11 62.81 63.56 64.34 65.12 65.90 66.68 67.46 68.22 68.97 Distillate 8.02 8.02 8.03 8.04 8.04 8.05 8.06 8.07 8.07 8.08 8.09 8.10 8.11 Liquefied Petroleum Gas 4.95 5.00 5.03 5.05 5.08 5.12 5.17 5.21 5.26 5.31 5.36 5.41 5.45 Kerosene 0.82 0.81 0.80 0.79 0.78 0.77 0.76 0.75 0.75 0.74 0.74 0.74 0.73 Wood Stoves 2.05 2.05 2.04 2.03 2.02 2.00 1.99 1.98 1.97 1.96 1.95 1.94 1.94 Geothermal Heat Pumps 0.06 0.07 0.09 0.10 0.12 0.13 0.15

469

november2006.xls  

Gasoline and Diesel Fuel Update (EIA)

Orhan Yildiz at 202-287-1586, or at Orhan.Yildiz@eia.doe.gov. Orhan Yildiz at 202-287-1586, or at Orhan.Yildiz@eia.doe.gov. Monthly Flash Estimates of Data for: September 2006 Section 1. Commentary Electric Power Data September is a transitional month between summer and fall, when decreased electricity use coincides with a decline in cooling demand. In contrast to recent Septembers, which have been warmer than normal, cooling and heating degree days for September 2006 were each within 10 percent of the norm. In September 2006, cooling degree days were 35.0 percent lower than September 2005 and 57.1 percent lower than August 2006. The changes in temperature translated into a 5.2 percent decline in September 2006 net electricity generation when compared to September 2005, and an 18.2 percent decline when compared to August 2006. Similarly, September 2006 retail sales of electricity

470

P4.xls  

Gasoline and Diesel Fuel Update (EIA)

P4. Energy Production Estimates in Physical Units, Ranked by State, 2011 P4. Energy Production Estimates in Physical Units, Ranked by State, 2011 United States 1,095,628 United States e 24,036,351 United States f 2,062,932 United States 331,646 1 Wyoming 438,673 Texas 7,112,863 Texas 531,524 Iowa 87,314 2 West Virginia 134,785 Louisiana 3,029,206 Alaska 204,829 Nebraska 47,120 3 Kentucky 108,971 Wyoming 2,159,422 California 193,691 Illinois 30,068 4 Pennsylvania 59,899 Oklahoma 1,888,870 North Dakota 152,985 Minnesota 27,536 5 Texas 45,904 Colorado 1,637,576 Oklahoma 76,681 South Dakota 24,850 6 Montana 42,008 Pennsylvania 1,310,592 New Mexico 71,274 Indiana 22,547 7 Illinois 37,938 New Mexico 1,237,303 Louisiana 68,984 Wisconsin 12,278 8 Indiana 37,544 Arkansas 1,072,212 Wyoming 54,710 Ohio 10,811 9 North Dakota 28,231 Utah 457,525 Kansas 41,503 Kansas 10,676 10 Ohio 28,175 West Virginia 394,125 Colorado

471

october2006.xls  

Gasoline and Diesel Fuel Update (EIA)

Orhan Yildiz at 202-287-1586, or at Orhan.Yildiz@eia.doe.gov. Orhan Yildiz at 202-287-1586, or at Orhan.Yildiz@eia.doe.gov. Monthly Flash Estimates of Data for: August 2006 Section 1. Commentary Electric Power Data Year-to-date net electric generation through August 2006 was 0.8 percent higher compared to year-to-date generation through August 2005. Comparing month-to-month, August 2006 net generation was 0.1 percent higher than August 2005, and 2.4 percent lower than July 2006. The higher net generation above last year was influenced by a continued strong economy and warmer than normal August weather. The index of industrial production was 4.7 percent higher comparing August 2006 to August 2005, but eased down, by 0.2 percent, between July 2006 and August 2006. Setting a new high, the national average retail price of electricity for August 2006 was 9.52 cents per kilowatthour. Comparing year-to-

472

september2006.xls  

Gasoline and Diesel Fuel Update (EIA)

Orhan Yildiz at 202-287-1586, or at Orhan.Yildiz@eia.doe.gov. Orhan Yildiz at 202-287-1586, or at Orhan.Yildiz@eia.doe.gov. Monthly Flash Estimates of Data for: July 2006 Section 1. Commentary Electric Power Data According to the National Climatic Data Center, the United States had its second hottest July on record due to a blistering heat wave throughout the country. The first seven months of 2006 was also the warmest on record in the Nation since recordkeeping began in 1895. July 2006 cooling degree days were near their historical high and more than 21 percent above normal. Year-to-date cooling degree days through July 2006 were 9.1 percent higher than in 2005. In July 2006 net generation, retail sales and retail prices of electricity all reached new highs. Year-to-date net generation for July 2006 was up 1.3

473

july2006.xls  

Gasoline and Diesel Fuel Update (EIA)

Orhan Yildiz at 202-287-1586, or at Orhan.Yildiz@eia.doe.gov. Orhan Yildiz at 202-287-1586, or at Orhan.Yildiz@eia.doe.gov. Monthly Flash Estimates of Data for: May 2006 Section 1. Commentary Electric Power Data The weather through May 2006 continued to be warmer than in 2005. According to the National Climatic Data Center, the first half of 2006 was the warmest on record in the U.S. since record keeping began in 1895. Year-to-date, heating degree days were down 10.2 percent and cooling degree days were up 44.7 percent through May. For May alone heating degree days were down 22.5 percent, and cooling degree days were 38.5 percent higher than last May. Year-to-date net generation through May was 0.7 percent higher than in 2005. Because of the advent of the summer cooling season and strong seasonal economic activity, May 2006 generation was up 5.1 percent compared to May 2005, and up 11.5 percent

474

august2007.xls  

Gasoline and Diesel Fuel Update (EIA)

June 2007 Section 1. Commentary Electric Power Data The U.S. National Oceanic and Atmospheric Administration (NOAA) reports that warmer- and drier-than-average conditions dominated much of the United States during the first half of 2007. June 2007 was the 23rd warmest June on record, increasing the cooling needs of the residential and commercial customers in the Nation. Cooling degree days for June 2007 were 9.3 percent above the average, but unchanged from June 2006. June 2007 electricity generation and retail sales of electricity were little changed from June 2006. Retail sales of electricity for the month of June 2007 increased only 0.2 percent compared to June 2006, while June 2007 generation for electric power was down 0.4 percent. The average U.S. retail price of electricity (all sectors) for June 2007 showed a 2.4-percent increase from

475

09 budget.xls  

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

Office of Electricity Delivery and Energy Reliability Budget Information Office of Electricity Delivery and Energy Reliability Budget Information FY 2007 FY 2009 Operating Plan Request Appropriation Request Research and Development High Temperature Superconductivity 45,750 28,186 27,930 28,186 Visualization and Controls 24,388 25,305 25,075 25,305 Energy Storage and Power Electronics 2,823 6,803 6,741 13,403 Renewable and Distributed Systems Integration 23,546 25,700 25,466 33,306 Congressionally Directed Activities - - 24,290 - SUBTOTAL, Research and Development

476

july2009.xls  

Gasoline and Diesel Fuel Update (EIA)

May 2009 Section 1. Commentary Electric Power Data In May 2009, the contiguous United States as a whole experienced temperatures that were above the monthly average. However, regional differences in temperature occurred as the West, Southwest, and Northwest all experienced above normal temperatures while the rest of the United States experienced near normal temperatures. Heating degree days for the contiguous United States were 20.8 percent below the average for the month of May and 31.1 percent below a much colder May 2008. Likewise, cooling degree days for the contiguous United States were 12.4 percent above the average for the month of May and 19.8 percent above May 2008. Retail sales of electricity decreased 5.0 percent in May 2009 compared to May 2008. This decrease in retail sales was caused mainly

477

october2007.xls  

Gasoline and Diesel Fuel Update (EIA)

August 2007 Section 1. Commentary Electric Power Data For the second month in a row, record warmth was observed throughout a majority of the country while the heavily populated Northeast experienced near average temperatures. Accordingly, cooling degree days for August 2007 were 26.0 percent above the average for the month of August, and 9.2 percent higher than August 2006. August 2007 electricity generation and retail sales of electricity were both up when compared to August 2006. Retail sales of electricity were 1.2 percent higher when compared to August 2006. However, residential retail sales of electricity decreased by 0.1 percent compared to August 2006. Generation for electric power was 3.8 percent higher than what was recorded in August

478

c1.xls  

Gasoline and Diesel Fuel Update (EIA)

Number of Number of Buildings (thousand) Floorspace (million square feet) Sum of Major Fuels Electricity Natural Gas Fuel Oil District Heat All Buildings* .................................. 4,645 64,783 92,577 69,032 14,525 1,776 7,245 Building Floorspace (Square Feet) 1,001 to 5,000 ................................... 2,552 6,789 12,812 10,348 2,155 292 Q 5,001 to 10,000 ................................. 889 6,585 9,398 7,296 1,689 307 Q 10,001 to 25,000 ............................... 738 11,535 13,140 10,001 2,524 232 Q 25,001 to 50,000 ............................... 241 8,668 10,392 7,871 1,865 127 Q 50,001 to 100,000 ............................. 129 9,057 11,897 8,717 1,868 203 Q 100,001 to 200,000 ........................... 65 9,064 13,391 9,500 1,737 272 Q 200,001 to 500,000 ........................... 25 7,176 10,347

479

sup_tran.xls  

Gasoline and Diesel Fuel Update (EIA)

(Trillion Btu) 2000- 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2020 Energy Use by Mode Highway Light-Duty Vehicles 14970.8 15191.3 15547.6 16054.3 16397.0 16743.0 17049.5 17379.1 17749.7 18129.3 18485.4 18843.9 19193.1 19518.8 19800.2 20071.6 20352.6 20620.8 20874.5 21140.7 21367.4 1.8% Automobiles 8641.2 8557.7 8554.5 8628.8 8632.3 8639.0 8622.6 8629.9 8669.2 8715.0 8763.0 8824.1 8891.3 8958.2 9010.9 9065.1 9131.3 9196.1 9258.6 9330.1 9387.4 0.4% Light Trucks 6304.8 6609.0 6968.5 7400.7 7739.9 8079.1 8402.1 8724.4 9055.5 9389.2 9697.2 9994.5 10276.3 10534.9 10763.4 10980.5 11195.1 11398.3 11589.2 11783.8 11953.0 3.3% Motorcycles 24.8 24.6 24.6 24.8 24.8 24.8 24.8 24.8 24.9 25.0 25.2 25.3 25.5 25.7 25.9 26.0 26.2 26.4 26.6 26.8 27.0 0.4% Commercial Light Trucks 1/ 637.6 624.1

480

c13.xls  

Gasoline and Diesel Fuel Update (EIA)

25th 25th Per- centile Median 75th Per- centile per Building (thousand dollars) per Square Foot (dollars) per kWh (dollars) All Buildings* .................................. 202 14.1 12.2 3.6 8.2 17.1 15.7 1.09 0.078 Building Floorspace (Square Feet) 1,001 to 5,000 ................................... 47 17.8 11.4 3.8 8.9 20.3 4.3 1.63 0.092 5,001 to 10,000 ................................. 92 12.4 10.3 3.8 7.4 14.5 8.7 1.18 0.095 10,001 to 25,000 ............................... 164 10.5 11.1 2.9 6.3 13.4 13.8 0.88 0.084 25,001 to 50,000 ............................... 439 12.2 11.6 3.8 8.8 16.2 33.6 0.94 0.077 50,001 to 100,000 ............................. 927 13.1 14.1 4.5 9.9 17.0 68.0 0.97 0.073 100,001 to 200,000 ........................... 2,181 15.7 12.2 5.3 13.0 23.4 146.4 1.05 0.067 200,001 to 500,000 ...........................

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481

c16.xls  

Gasoline and Diesel Fuel Update (EIA)

,262 ,262 14,172 25,540 15,057 0.10 0.07 0.07 0.10 1.11 0.85 1.12 1.37 Building Floorspace (Square Feet) 1,001 to 5,000 ................................... 1,617 2,401 4,142 2,188 0.12 0.08 0.08 0.12 1.62 1.39 1.78 1.69 5,001 to 10,000 ................................. 1,202 1,212 2,721 2,160 0.12 0.08 0.08 0.12 1.11 0.84 1.11 1.78 10,001 to 25,000 ............................... 1,795 2,145 3,763 2,299 0.10 0.07 0.08 0.10 0.92 0.69 0.88 1.11 25,001 to 50,000 ............................... 1,168 2,042 2,864 1,797 0.10 0.07 0.07 0.10 0.90 0.82 0.95 1.12 50,001 to 100,000 ............................. 2,130 1,777 3,190 1,620 0.09 0.06 0.06 0.10 1.04 0.79 0.93 1.25 100,001 to 200,000 ........................... 2,286 1,963 3,810 1,440 0.09 0.06 0.06 0.08 1.08 0.86 1.11 1.22 200,001 to 500,000 ........................... 1,985 1,497 2,312 1,530

482

c21.xls  

Gasoline and Diesel Fuel Update (EIA)

Square Square Feet All Buildings* .................................. 190 341 360 12,543 28,786 21,977 15.1 11.8 16.4 Principal Building Activity Education .......................................... 9 55 45 806 5,378 3,687 11.1 10.2 12.2 Food Sales ....................................... 36 24 Q 747 467 Q 48.8 51.1 Q Food Service ..................................... 47 16 Q 986 664 Q 47.8 24.5 Q Health Care ....................................... 6 17 50 445 835 1,883 13.1 20.5 26.3 Inpatient .......................................... N Q 47 N Q 1,723 N Q 27.0 Outpatient ....................................... 6 11 Q 445 652 Q 13.1 17.4 Q Lodging ............................................. 4 31 34 260 2,274 2,563 14.0 13.5 13.5 Retail (Other Than Mall)..................... 17 28 18 1,363 2,133 821 12.2 12.9 21.5 Office ................................................

483

Fig1.xls  

Gasoline and Diesel Fuel Update (EIA)

December 2009 December 2009 1 December 2009 Short-Term Energy Outlook December 8, 2009 Release Highlights  EIA expects the price of West Texas Intermediate (WTI) crude oil will average about $76 per barrel this winter (October-March). The forecast for the monthly average WTI price dips to $75 early next year then rises to $82 per barrel by December 2010, assuming U.S. and world economic conditions continue to improve. EIA's forecast assumes that U.S. real gross domestic product (GDP) grows by 1.9 percent in 2010 and world oil-consumption-weighted real GDP grows by 2.6 percent.  Rising crude oil prices contribute to an increase in the annual average regular-

484

sup_tran.xls  

Gasoline and Diesel Fuel Update (EIA)

Type Type (Trillion Btu) 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 Energy Use by Mode Highway Light-Duty Vehicles 15161.1 15575.7 15906.8 16472.8 16956.1 17383.6 17761.0 18145.3 18523.6 18909.9 19286.4 19680.7 20088.4 Automobiles 8876.0 8832.9 8766.0 8824.8 8847.8 8851.9 8868.7 8891.4 8906.8 8939.0 8971.8 9011.9 9058.7 Light Trucks 6259.5 6717.3 7115.4 7622.5 8082.6 8506.0 8866.5 9228.1 9591.0 9945.0 10288.6 10642.6 11003.3 Motorcycles 25.6 25.5 25.4 25.6 25.7 25.7 25.8 25.8 25.9 26.0 26.0 26.2 26.3 Commercial Light Trucks 1/ 583.8 586.5 584.4 605.0 624.7 637.7 648.0 658.6 670.4 683.6 696.8 709.8 724.5 Buses 251.1 238.9 239.8 242.3 244.6 246.6 248.7 250.7 252.8 254.8 256.6 258.2 259.4 Transit 98.9 94.1 94.5 95.5 96.4 97.2 98.0 98.8 99.6 100.4 101.1 101.7 102.2 Intercity 36.6 34.7 34.8 35.2 35.5 35.8 36.1 36.4 36.7

485

c23.xls  

Gasoline and Diesel Fuel Update (EIA)

25th 25th Per- centile Median 75th Per- centile per Building (thousand dollars) per Square Foot (dollars) per Thousand Cubic Feet (dollars) All Buildings* ................................. 782 43.0 36.0 17.6 37.1 70.9 6.1 0.33 7.77 Building Floorspace (Square Feet) 1,001 to 5,000 ................................. 219 78.7 42.6 23.7 46.3 92.0 1.9 0.70 8.88 5,001 to 10,000 ............................... 408 54.8 42.5 13.9 28.8 65.7 3.4 0.46 8.34 10,001 to 25,000 ............................. 667 42.5 40.8 14.4 29.2 52.1 5.6 0.36 8.41 25,001 to 50,000 ............................. 1,483 41.5 39.1 16.0 31.5 55.3 11.1 0.31 7.46 50,001 to 100,000 ............................ 2,498 35.4 39.1 10.1 27.6 48.8 19.7 0.28 7.90 100,001 to 200,000 .......................... 5,029 36.3 26.1 6.1 23.6 55.2 36.2 0.26 7.19 200,001 to 500,000 ..........................

486

february2008.xls  

Gasoline and Diesel Fuel Update (EIA)

7 7 Section 1. Commentary Electric Power Data While average temperatures prevailed across the majority of the Nation in December 2007, warmer-than-average temperatures in the more heavily populated eastern United States led to a decrease in total heating degree-days for the contiguous U.S. of 3.3 percent below the average for the month of December. However, heating degree days were still 14.5 percent above the level from December 2006, leading to an increase in electricity demand from a year ago. Retail sales of electricity for the month of December 2007 increased 2.1 percent compared to December 2006. The average U.S. retail price of electricity for December 2007 showed a 4.2-percent increase from December 2006 and a 0.8-percent decrease from

487

Attachment B.xls  

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

Competitive Sourcing Studies, 2002-2003 Competitive Sourcing Studies, 2002-2003 (Full-Time Equivalent Positions Under Review) DOE Organization State(s) I n f o r m a t i o n T e c h n o l o g y H u m a n R e s o u r c e s F i n a n c i a l S e r v i c e s P e r s o n n e l S e c u r i t y I n v e s t i g a t i o n s L o g i s t i c s G r a p h i c s C i v i l R i g h t s R e v i e w s P a r a l e g a l S u p p o r t T O T A L Headquarters Office of Management, Budget and Evaluation/CFO MD, DC 6 15 60 86 13 180 Chief Information Officer MD, DC 113 113 Economic Impact and Diversity MD, DC 2 2 8 2 14 Energy Efficiency and Renewable Energy MD, DC 7 1 8 Environment, Safety, and Health MD, DC 7 4 11 Energy Information Administration MD, DC 28 28 Environmental Management MD, DC 22 5 27 General Counsel MD, DC 7 7 Fossil Energy MD, DC 6 2 8 Hearings and Appeals MD, DC 7 7 Inspector General MD, DC 2 1 3 Nuclear Energy Science and Technology MD, DC 1 1 Oversight and Performance Assurance

488

b35.xls  

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

Cooled Cooled 1 to 50 Percent Cooled 51 to 99 Percent Cooled 100 Percent Cooled All Build- ings* Not Cooled 1 to 50 Percent Cooled 51 to 99 Percent Cooled 100 Percent Cooled All Buildings* .................................. 4,645 1,020 985 629 2,011 64,783 7,843 16,598 13,211 27,132 Building Floorspace (Square Feet) 1,001 to 5,000 ................................... 2,552 710 407 279 1,155 6,789 1,782 1,206 781 3,021 5,001 to 10,000 ................................. 889 157 226 133 374 6,585 1,177 1,704 995 2,710 10,001 to 25,000 ............................... 738 109 225 126 277 11,535 1,612 3,517 2,034 4,372 25,001 to 50,000 ............................... 241 25 64 43 109 8,668 893 2,369 1,479 3,928 50,001 to 100,000 ............................. 129 11 41 25 52 9,057 726 2,926 1,751 3,654 100,001 to 200,000 ...........................

489

b1.xls  

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

Released: Dec 2006 Next CBECS will be conducted in 2007 Number of Buildings (thousand) Total Floorspace (million square feet) Total Workers in All Buildings (thousand) Mean Square Feet per Building (thousand) Mean Square Feet per Worker Mean Hours per Week All Buildings*................................... 4,645 64,783 72,807 13.9 890 61 Table B1. Summary Table: Total and Means of Floorspace, Number of Workers, and Hours of Operation for Non-Mall Buildings, 2003 Climate Zone: 30-Year Average Under 2,000 CDD and -- More than 7,000 HDD ..................... 855 10,622 10,305 12.4 1,031 60 5,500-7,000 HDD ............................ 1,173 17,335 17,340 14.8 1,000 63 4,000-5,499 HDD ............................ 673 11,504 14,007 17.1 821 66 Fewer than 4,000 HDD ................... 1,276

490

a7.xls  

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

Buildings .................................... Buildings .................................... 4,859 3,754 762 117 47 22 157 Building Floorspace (Square Feet) 1,001 to 5,000 ................................... 2,586 2,131 338 Q Q N 100 5,001 to 10,000 ................................. 948 720 182 Q N Q Q 10,001 to 25,000 ............................... 810 590 140 51 13 Q Q 25,001 to 50,000 ............................... 261 163 54 19 12 Q Q 50,001 to 100,000 ............................. 147 87 29 8 13 4 Q 100,001 to 200,000 ........................... 74 43 13 6 5 4 Q 200,001 to 500,000 ........................... 26 15 5 Q 1 3 Q Over 500,000 .................................... 8 3 1 Q Q 3 Q Principal Building Activity Education .......................................... 386 360 21 Q N N N Food Sales ....................................... 226 203 Q N N Q N Food Service .....................................

491

b46.xls  

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

64,783 64,783 52,974 26,768 20,254 10,425 17,218 38,884 35,335 Building Floorspace (Square Feet) 1,001 to 5,000 ................................... 6,789 4,333 1,310 916 366 935 3,174 830 5,001 to 10,000 ................................. 6,585 4,738 1,406 909 497 894 3,609 1,407 10,001 to 25,000 ............................... 11,535 8,646 2,230 1,188 614 1,665 6,725 4,072 25,001 to 50,000 ............................... 8,668 7,068 2,829 1,626 676 1,933 5,289 4,910 50,001 to 100,000 ............................. 9,057 8,038 4,291 3,124 1,354 2,438 5,760 6,342 100,001 to 200,000 ........................... 9,064 8,096 5,116 4,148 1,926 3,302 5,667 6,578 200,001 to 500,000 ........................... 7,176 6,238 4,606 4,199 2,034 2,685 4,524 5,691 Over 500,000 .................................... 5,908 5,816 4,979 4,146 2,958

492

c37.xls  

Gasoline and Diesel Fuel Update (EIA)

per per Building (million Btu) per Square Foot (thousand Btu) per Worker (million Btu) per Building (thousand dollars) per Square Foot (dollars) per Thousand Pounds (dollars) All Buildings* .................................. 9,475 116.44 62.2 108.3 1.33 11.43 Building Floorspace (Square Feet) 1,001 to 5,000 ................................... Q Q Q Q Q Q 5,001 to 10,000 ................................. Q Q Q Q Q Q 10,001 to 25,000 ............................... Q Q Q Q Q Q 25,001 to 50,000 ............................... Q Q Q Q Q Q 50,001 to 100,000 ............................. Q Q Q Q Q Q 100,001 to 200,000 ........................... 17,452 118.10 Q Q Q Q 200,001 to 500,000 ........................... 34,658 121.16 143.2 Q Q Q Over 500,000 .................................... 85,182 99.92 52.4 911.2 1.07 10.70 Principal Building Activity

493

c28.xls  

Gasoline and Diesel Fuel Update (EIA)

171 171 210 99 3,593 6,326 2,281 47.6 33.2 43.3 Building Floorspace (Square Feet) 1,001 to 5,000 ................................... 23 25 11 346 325 209 66.6 75.3 53.5 5,001 to 10,000 ................................. 13 34 Q 305 620 Q 44.0 54.9 Q 10,001 to 25,000 ............................... 29 28 Q 756 987 565 37.9 28.6 Q 25,001 to 50,000 ............................... 44 17 12 840 714 363 52.6 24.4 Q 50,001 to 100,000 ............................. Q 27 Q Q 806 Q Q 33.1 Q 100,001 to 200,000 ........................... 19 Q Q 512 1,238 Q 37.8 30.8 Q 200,001 to 500,000 ........................... Q 23 Q Q 786 Q Q 28.9 Q Over 500,000 .................................... Q 18 Q Q Q Q Q 21.6 Q Principal Building Activity Education .......................................... 14 25 Q 380 1,274 Q 38.1 19.6 Q Food Sales .......................................

494

c18.xls  

Gasoline and Diesel Fuel Update (EIA)

62 62 210 50 5,328 12,097 3,220 11.7 17.4 15.5 Building Floorspace (Square Feet) 1,001 to 5,000 ................................... 10 26 7 821 1,157 472 12.4 22.9 15.5 5,001 to 10,000 ................................. 7 18 4 666 1,308 359 10.7 13.9 12.0 10,001 to 25,000 ............................... 8 27 11 1,164 2,207 791 7.3 12.2 14.2 25,001 to 50,000 ............................... 15 24 5 949 1,672 442 16.1 14.4 10.9 50,001 to 100,000 ............................. 8 25 10 642 1,470 650 12.8 16.7 14.8 100,001 to 200,000 ........................... 8 39 Q 614 2,087 Q 12.3 18.9 Q 200,001 to 500,000 ........................... Q 22 Q Q 1,072 Q Q 20.4 Q Over 500,000 .................................... Q 29 Q Q 1,123 Q Q 25.6 Q Principal Building Activity Education .......................................... 5 39 Q 549 2,445 Q 8.8 16.0 Q Food Sales .......................................

495

Fig1.xls  

Gasoline and Diesel Fuel Update (EIA)

June 2010 June 2010 1 June 2010 Short-Term Energy Outlook June 8, 2010 Release Highlights  Crude oil prices fluctuated considerably last month, with the West Texas Intermediate (WTI) spot price ranging from a high of $86 per barrel on May 3 to a low of $65 on May 25, before ending the month at $74. According to some market analysts, uncertainty over the global economic recovery, particularly with respect to Europe's debt crisis and the tightening of credit by China, and liquidation of futures contracts contributed to the crude price decline. Moreover, WTI prices fell further than most other crudes because of record high inventories in Cushing, Oklahoma. EIA projects WTI crude oil spot prices

496

Grantsdown.xls  

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

American Recovery and Reinvestment Act American Recovery and Reinvestment Act Funding Opportunity Announcement Table TITLE FOA # Demonstration of Integrated Biorefinery Operations DE-FOA-0000096 Expansion of Infrastructure for Ethanol Blends DE-FOA-0000125 Development of Algal / Advanced Biofuels Consortia DE-FOA-0000123 Geothermal Technologies Program: Ground Source Heat Pumps DE-FOA-0000116 Enhanced Geothermal Systems Component Research and Development/Analysis DE-FOA-0000075 Geothermal Technologies Program: Validation of Innovative Exploration Technologies; Geothermal Energy Production; Geothermal Data Development, Collection, and Maintenance DE-FOA-0000109 Enhanced Geothermal Systems Demonstrations DE-FOA-0000092 Hydroelectric Facility Modernization DE-FOA-0000120

497

VSC's.xls  

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

e e Description of Organization VSC name VSC e-mail Phone # DOE - Bonneville Power Administration Carolyn Stokke ccstokke@bpa.gov 360-418-2330 DOE - Southeastern Power Administration Carol Rice carolr@sepa.doe.gov 706-213-3822 DOE - Southwestern Power Administration Cheryl Crosswell & Shirley Shumate cheryl.crosswell@swpa.gov; shirley.shumate@swpa.gov 918/595-6616; 918/595-6686 DOE - Western Area Power Administration Frances Hamada hamada@wapa.gov 801/524-6379 DOE - Office of the CFO Teresa Collins Teresa.Collins@hq.doe.gov 202/586-4459 DOE - Congressional and Intergovernmental Affairs Liz Renner elizabeth.renner@hq.doe.gov 202/586-5450 DOE - Office of Economic Impact and Diversity Dan Broehl daniel.broehl@hq.doe.gov 202-586-0696 DOE - Office of Energy Efficiency and Renewable Energy Nicole McGowan

498

b12.xls  

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

64,783 64,783 9,874 1,255 1,654 1,905 1,258 5,096 4,317 Building Floorspace (Square Feet) 1,001 to 5,000 ................................... 6,789 409 409 544 N 165 99 638 5,001 to 10,000 ................................. 6,585 399 356 442 N 280 160 725 10,001 to 25,000 ............................... 11,535 931 Q 345 Q 312 631 1,284 25,001 to 50,000 ............................... 8,668 1,756 Q Q Q Q 803 578 50,001 to 100,000 ............................. 9,057 2,690 Q Q Q 206 841 Q 100,001 to 200,000 ........................... 9,064 2,167 Q N Q Q 930 524 200,001 to 500,000 ........................... 7,176 1,420 N Q 467 Q 1,185 Q Over 500,000 .................................... 5,908 Q N N 973 N Q Q Year Constructed Before 1920 ...................................... 3,769 410 Q 281 Q Q Q 220 1920 to 1945 .....................................

499

eia176.xls  

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

1 1 7 6 EIA-176 Ben Franklin Station Address 2: City: State: Zip: - Distribution company - investor owned Storage operator Distribution company - municipally owned Synthetic natural gas (SNG) plant operator Distribution company - privately owned Producer Distribution company - cooperative Distribution company - other ownership Interstate pipeline (FERC regulated) Intrastate pipeline B. Vehicles Powered by Alternative Fuels Does your company's vehicle fleet include vehicles powered by alternative fuels? No D. Sales/Acquisitions No or sale this year? If Yes, please describe the sale or acquisition in the Comments box below. Page 1 C. Customer Choice Program Participating Eligible If there is a Customer Choice program available in your service territory, enter the number

500

Table 2.xls  

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

Project-level Reductions and Sequestration Reported, Data Year 2005 Project-level Reductions and Sequestration Reported, Data Year 2005 (Metric Tons Carbon Dioxide Equivalent) 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 Indirect 1 85 621 699 3,129 3,411 4,120 3,850 5,988 4,211 6,193 4,890 4,102 6,243 Sequestration 1,540,000 1,540,000 1,540,000 1,540,000 1,540,000 1,540,000 1,540,000 1,540,000 1,540,000 1,540,000 1,540,000 1,540,000 1,540,000 1,540,000 Direct 16 Indirect 16,191 14,656 17,745 17,748 17,859 19,897 18,925 21,070 85,711 118,115 156,534 236,368 215,033 214,678 220,420 Sequestration 4,150,000 4,150,000 4,150,000 4,150,000 4,150,000 4,150,000 4,150,000 4,150,000 4,150,000 4,150,000 4,150,000 4,150,000 4,150,000 Sequestration 550,000 70,000 290,000 370,000 480,000 440,000 440,000 590,000 530,000 370,000 410,000 410,000 410,000 410,000 410,000 Direct 1,091 38,702 44,227