Powered by Deep Web Technologies
Note: This page contains sample records for the topic "forecasting wa id" 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

Category:Seattle, WA | Open Energy Information  

Open Energy Info (EERE)

Seattle, WA Seattle, WA Jump to: navigation, search Go Back to PV Economics By Location Media in category "Seattle, WA" The following 16 files are in this category, out of 16 total. SVFullServiceRestaurant Seattle WA Puget Sound Energy Inc.png SVFullServiceRestauran... 60 KB SVHospital Seattle WA Puget Sound Energy Inc.png SVHospital Seattle WA ... 58 KB SVLargeHotel Seattle WA Puget Sound Energy Inc.png SVLargeHotel Seattle W... 57 KB SVLargeOffice Seattle WA Puget Sound Energy Inc.png SVLargeOffice Seattle ... 57 KB SVMediumOffice Seattle WA Puget Sound Energy Inc.png SVMediumOffice Seattle... 61 KB SVMidriseApartment Seattle WA Puget Sound Energy Inc.png SVMidriseApartment Sea... 58 KB SVOutPatient Seattle WA Puget Sound Energy Inc.png SVOutPatient Seattle W... 63 KB

2

RACORO Forecasting  

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

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

3

WA_1993_040_REGENTS_OF_THE_UNIVERSITY_OF_CALIFORNIA_Waiver_o...  

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

WA1993040REGENTSOFTHEUNIVERSITYOFCALIFORNIAWaivero.pdf WA1993040REGENTSOFTHEUNIVERSITYOFCALIFORNIAWaivero.pdf WA1993040REGENTSOFTHEUNIVERSITYOFCALIFORNI...

4

WA_00_030_ASE_AMERICAS_Request_to_Assign_Title_to_Waiver-Inv...  

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

WA1995019DONNELLYCORPORATIONWaiverofDomesticandFore.pdf WA1995018OPTICALCOATINGLABORATORYINCWaiverofDomesti.pdf WA03032RWESCHOTTSOLARINCWaiverof...

5

Category:Yakima, WA | Open Energy Information  

Open Energy Info (EERE)

Yakima, WA Yakima, WA Jump to: navigation, search Go Back to PV Economics By Location Media in category "Yakima, WA" The following 16 files are in this category, out of 16 total. SVFullServiceRestaurant Yakima WA Puget Sound Energy Inc.png SVFullServiceRestauran... 61 KB SVHospital Yakima WA Puget Sound Energy Inc.png SVHospital Yakima WA P... 58 KB SVLargeHotel Yakima WA Puget Sound Energy Inc.png SVLargeHotel Yakima WA... 58 KB SVLargeOffice Yakima WA Puget Sound Energy Inc.png SVLargeOffice Yakima W... 58 KB SVMediumOffice Yakima WA Puget Sound Energy Inc.png SVMediumOffice Yakima ... 57 KB SVMidriseApartment Yakima WA Puget Sound Energy Inc.png SVMidriseApartment Yak... 59 KB SVOutPatient Yakima WA Puget Sound Energy Inc.png SVOutPatient Yakima WA... 63 KB SVPrimarySchool Yakima WA Puget Sound Energy Inc.png

6

Advance Patent Waiver W(A)2013-013 | Department of Energy  

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

& Publications WA98023McDERMOTTTECHNOLOGYINCWaiverofDomesticandFo.pdf WA96016AIRPRODUCTSANDCHEMICALSINCWaiverofDomestic.pdf WA96004GECORPORATERESEARCHand...

7

WA_1995_018_OPTICAL_COATING_LABORATORY_INC_Waiver_of_Domesti...  

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

Publications WA1995019DONNELLYCORPORATIONWaiverofDomesticandFore.pdf WA1994034AIRPRODUCTSANDCHEMICALSINCWaiverofDomesti.pdf WA1995009AIRPRODUCTSANDCHEMICAL...

8

WA_04_057_CHEMICAL_RESEARCH_AND_LICENSING_CO_Waiver_of_Paten...  

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

& Publications WA04064VELOCYSINCWaiverofPatentRgithsUnderaDOECo.pdf WA04063AIRPRODUCTSANDCHEMICALSWaiverofPatentRights.pdf WA04028AIRPRODUCTSANDCHEMICAL...

9

WA_98_023_McDERMOTT_TECHNOLOGY_INC_Waiver_of_Domestic_and_Fo...  

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

WA06013McDERMOTTTECHNOLOGYINCWaiverofPatentRightst.pdf WA00018PRAXAIRWaiveofDomesticandForeignInventionRi.pdf WA00007COMBUSTIONENGINEERINGINCW...

10

WA_02_021_H2GEN_INNOVATIONS_Waiver_of_Domestic_and_Foreign_P...  

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

WA02046QUESTAAIRTECHNOLOGIESWaiverofDomesticandFor.pdf WA02055PRAXAIRWaiverofDomesticandForeignPatentRigh.pdf WA04034NUVERAFUELCELLSINCWaiver...

11

WA_04_009_ROCKWELL_SCIENTIFIC_CO_Wailve_of_Domestic_And_Fore...  

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

WA1995019DONNELLYCORPORATIONWaiverofDomesticandFore.pdf WA1995018OPTICALCOATINGLABORATORYINCWaiverofDomesti.pdf WA00030ASEAMERICASRequesttoAssign...

12

WA_1995_019_DONNELLY_CORPORATION_Waiver_of_Domestic_and_Fore...  

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

WA00030ASEAMERICASRequesttoAssignTitletoWaiver-Inv.pdf WA1995018OPTICALCOATINGLABORATORYINCWaiverofDomesti.pdf WA04009ROCKWELLSCIENTIFICCOWailve...

13

RAPID/Roadmap/11-WA-a | Open Energy Information  

Open Energy Info (EERE)

Toolkit About Bulk Transmission Geothermal Solar Tools Contribute Contact Us 11-WA-a State Cultural Considerations Overview 11-WA-a - State Cultural Considerations Overview.pdf...

14

WA_1995_009_AIR_PRODUCTS_AND_CHEMICALS_INC_Waiver_of_Domesti...  

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

9AIRPRODUCTSANDCHEMICALSINCWaiverofDomesti.pdf WA1995009AIRPRODUCTSANDCHEMICALSINCWaiverofDomesti.pdf WA1995009AIRPRODUCTSANDCHEMICALSINCWaiverofDomesti...

15

WA_96_016_AIR_PRODUCTS_AND_CHEMICALS_INC_Waiver_of_Domestic_...  

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

16AIRPRODUCTSANDCHEMICALSINCWaiverofDomestic.pdf WA96016AIRPRODUCTSANDCHEMICALSINCWaiverofDomestic.pdf WA96016AIRPRODUCTSANDCHEMICALSINCWaiverofDomest...

16

WA_1995_014_AIR_PRODUCTS_AND_CHEMICALS_INC_Waiver_of_Domesti...  

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

14AIRPRODUCTSANDCHEMICALSINCWaiverofDomesti.pdf WA1995014AIRPRODUCTSANDCHEMICALSINCWaiverofDomesti.pdf WA1995014AIRPRODUCTSANDCHEMICALSINCWaiverofDomest...

17

WA_1994_034_AIR_PRODUCTS_AND_CHEMICALS_INC_Waiver_of_Domesti...  

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

4034AIRPRODUCTSANDCHEMICALSINCWaiverofDomesti.pdf WA1994034AIRPRODUCTSANDCHEMICALSINCWaiverofDomesti.pdf WA1994034AIRPRODUCTSANDCHEMICALSINCWaiverofDom...

18

WA_99_017_AIR_PRODUCTS_AND_CHEMICALS_Waiver_of_Domestic_and_...  

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

9017AIRPRODUCTSANDCHEMICALSWaiverofDomesticand.pdf WA99017AIRPRODUCTSANDCHEMICALSWaiverofDomesticand.pdf WA99017AIRPRODUCTSANDCHEMICALSWaiverofDomesti...

19

WA_04_028_AIR_PRODUCTS_AND_CHEMICALS_Waiver_of_patent_Rights...  

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

8AIRPRODUCTSANDCHEMICALSWaiverofpatentRights.pdf WA04028AIRPRODUCTSANDCHEMICALSWaiverofpatentRights.pdf WA04028AIRPRODUCTSANDCHEMICALSWaiverofpatentRigh...

20

WA_1993_028_ALLIANCE_ELECTRIC_COMPANY_Waiver_of_Domestic_and...  

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

3028ALLIANCEELECTRICCOMPANYWaiverofDomesticand.pdf WA1993028ALLIANCEELECTRICCOMPANYWaiverofDomesticand.pdf WA1993028ALLIANCEELECTRICCOMPANYWaiverofDomestic...

Note: This page contains sample records for the topic "forecasting wa id" 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

WA_98_006_WESTINGHOUSE_POWER_GENERATION_A_FORMER_DIVISION_OF...  

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

6WESTINGHOUSEPOWERGENERATIONAFORMERDIVISIONOF.pdf WA98006WESTINGHOUSEPOWERGENERATIONAFORMERDIVISIONOF.pdf WA98006WESTINGHOUSEPOWERGENERATIONAFORMERDIVISION...

22

WA_98_005_WESTINGHOUSE_POWER_GENERATION_A_FORMER_DIVISION_OF...  

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

5WESTINGHOUSEPOWERGENERATIONAFORMERDIVISIONOF.pdf WA98005WESTINGHOUSEPOWERGENERATIONAFORMERDIVISIONOF.pdf WA98005WESTINGHOUSEPOWERGENERATIONAFORMERDIVISION...

23

WA-TRIBE-STILLAGUAMISH TRIBE OF INDIANS  

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

WA-TRIBE-STILLAGUAMISH TRIBE OF INDIANS WA-TRIBE-STILLAGUAMISH TRIBE OF INDIANS Energy Efficiency and Conservation Block Grant Program Location: Tribe WA-TRIBE- STILLAGUAMISH TRIBE OF INDIANS WA American Recovery and Reinvestment Act: Proposed Action or Project Description The Stillaguamish Tribe proposes to expand its Stillaguamish Tribe Transit Services (STTS). For the past three years, the STTS has employed 14-passenger buses to transport clients to and from the tribal medical, dental, behavioral health and massage clinics. Often the demand-response requests that come to STTS are for one to three passengers at a time; therefore, funds are being requested to purchase a hybrid sedan to transport clients. Conditions: None Categorical Exclusion(s) Applied: A1, B1.32, B5.1 *-For the complete DOE National Environmental Policy Act regulations regarding categorical exclusions, see Subpart D of 10 CFR10 21

24

Forecast Prices  

Gasoline and Diesel Fuel Update (EIA)

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

25

WA_98_016_ABB_POWER_T_AND_D_COMPANY_Waiver_of_Domestic_and_F...  

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

More Documents & Publications Advance Patent Waiver W(A)2011-046 Advance Patent Waiver W(A)2009-016 WA96016AIRPRODUCTSANDCHEMICALSINCWaiverofDomestic...

26

Advance Patent Waiver W(A)2009-030 | Department of Energy  

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

public. Advance Patent Waiver W(A)2009-030 More Documents & Publications WA97030AIRPRODUCTSWaiverofDomesticandForeignPaten.pdf WA98001REYNOLDSMETALSCOMPANYW...

27

WA_04_085_THE_BOEING_COMPANY_Waiver_of_domestic_and_Foreign_...  

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

More Documents & Publications Advance Patent Waiver W(A)2010-018 Advance Patent Waiver W(A)2007-012 WA99017AIRPRODUCTSANDCHEMICALSWaiverofDomesticand...

28

WA_00_025_PRAXAIR_INC_Waiver_Request.pdf | Department of Energy  

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

25PRAXAIRINCWaiverRequest.pdf WA00025PRAXAIRINCWaiverRequest.pdf WA00025PRAXAIRINCWaiverRequest.pdf More Documents & Publications WA00001PRAXAIRINCWaiverofDo...

29

WA_00_035_ALCOA_INC_Waiver_of_Domestic_and_Foreign_Rights_in...  

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

& Publications WA03054HEILTRAILERINTERNATIONALWaiverofDomesticand.pdf WA00011HONEYWELLINTERNATIONALWaiverofDomesticandFor.pdf Advance Patent Waiver W(A)2010-051...

30

WA_03_054_HEIL_TRAILER_INTERNATIONAL_Waiver_of_Domestic_and_...  

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

& Publications WA00035ALCOAINCWaiverofDomesticandForeignRightsin.pdf WA00011HONEYWELLINTERNATIONALWaiverofDomesticandFor.pdf Advance Patent Waiver W(A)2010-051...

31

RAPID/Roadmap/4-WA-a | Open Energy Information  

Open Energy Info (EERE)

4-WA-a State Exploration Process 4-WA-a State Exploration Process.pdf Click to View Fullscreen Permit Overview Developers desiring to conduct geothermal exploration activities on...

32

RAPID/Roadmap/3-WA-b | Open Energy Information  

Open Energy Info (EERE)

needs access to state lands for exploratory purposes, then they should begin the State Exploration Process. Green arrow.PNG 4-WA-a: State Exploration Process 3-WA-b.3 to...

33

RAPID/Roadmap/19-WA-f | Open Energy Information  

Open Energy Info (EERE)

9-WA-f Water Well NOI for Replacement or Additional Wells 19-WA-f - Water Well NOI for Replacement or Additional Wells.pdf Click to View Fullscreen Permit Overview A developer...

34

RECIPIENT:WA Dept. of Commerce STATE: WA PROJECT SEP ARRA SIRTI -  

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

WA Dept. of Commerce STATE: WA WA Dept. of Commerce STATE: WA PROJECT SEP ARRA SIRTI - Demand Energy - Energy Storage System Tied to Solar on Commercial Facility TITLE: Funding Opportunity Announcement Number Procurement Instrument Number NEPA Control Number cm Number DE-FOA-0000052 DE-EEOOO0139 GFO-o000139-031 Based on my review ofthe information concerning the proposed action, as NEPA Compliance Officer (authorized under DOE Order 4S1.1A), I have made the following determination: CX, EA, EIS APPENDIX AND NUMBER: Description: A9 Information gathering (including, but not limited to, literature surveys, inventories, audits), data analysis (including computer modeling), document preparation (such as conceptual design or feasibility studies, analytical energy supply and demand studies), and dissemination (including, but not limited to, document mailings, publication, and distribution;

35

Advance Patent Waiver W(A)2011-011 | Department of Energy  

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

W(A)2011-011 More Documents & Publications Advance Patent Waiver W(A)2008-011 Advance Patent Waiver W(A)2008-045 WA07038POETPROJECTLIBERTYLLCWaiverofDomesticandFo...

36

Advance Patent Waiver W(A)2005-006 | Department of Energy  

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

W(A)2005-006 More Documents & Publications Advance Patent Waiver W(A)2008-022 WA04079PRAXAIRINCWaiverofPatentRightsUnderaSubcon.pdf Advance Patent Waiver W(A)2011-063...

37

Advance Patent Waiver W(A)2002-023 | Department of Energy  

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

2-023 Advance Patent Waiver W(A)2002-023 Advance Patent Waiver W(A)2002-023 More Documents & Publications Advance Patent Waiver W(A)2006-028 WA05056IBMWATSONRESEARCHCENTERWa...

38

11. CONTRACT ID CODE IPAGE1 OFI AMENDMENT OF SOLICITATION/MODIFICATION OF CONTRACT 2  

E-Print Network (OSTI)

11. CONTRACT ID CODE IPAGE1 OFI PAGES AMENDMENT OF SOLICITATION/MODIFICATION OF CONTRACT 2 2 County, WA 99352 10A. MODIFICATION OF CONTRACT/ ORDER NO. DUNS# 032987476 DE-AC05-76RL01830 ~ 10B. DATED AND APPROPRIATION DATA (Ifrequired} CHECK ONE D D D 13. THIS ITEM APPLIES ONLY TO MODIFICATIONS OF CONTRACTS

39

WA_-01_001_PHILLIPS_PETROLEUM_Waiver_of_Domestic_and_Foreign...  

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

-01001PHILLIPSPETROLEUMWaiverofDomesticandForeign.pdf WA-01001PHILLIPSPETROLEUMWaiverofDomesticandForeign.pdf WA-01001PHILLIPSPETROLEUMWaiverofDomesticand...

40

WA_07_038_POET_PROJECT_LIBERTY_LLC_Waiver_of_Domestic_and_Fo...  

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

7038POETPROJECTLIBERTYLLCWaiverofDomesticandFo.pdf WA07038POETPROJECTLIBERTYLLCWaiverofDomesticandFo.pdf WA07038POETPROJECTLIBERTYLLCWaiverofDomestic...

Note: This page contains sample records for the topic "forecasting wa id" 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

WA_1993_041_ROCKETDYNE_AND_LLNL_Waiver_of_the_Governments_U.pdf...  

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

1ROCKETDYNEANDLLNLWaiveroftheGovernmentsU.pdf WA1993041ROCKETDYNEANDLLNLWaiveroftheGovernmentsU.pdf WA1993041ROCKETDYNEANDLLNLWaiveroftheGovernmentsU.pd...

42

WA_1993_042_UNITED_TECHNOLOGIES_CORPORATION_Waiver_of_the_Go...  

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

TIONWaiveroftheGo.pdf More Documents & Publications WA1993040REGENTSOFTHEUNIVERSITYOFCALIFORNIAWaivero.pdf WA1993041ROCKETDYNEANDLLNLWaiveroftheGovernmentsU...

43

WA_99_015_FORD_MOTOR_COMPANY_Waiver_of_Domestic_and_Foreign_...  

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

COMPANYWaiverofDomesticandForeign.pdf More Documents & Publications WA97038FORDMOTORCOMPANYWaiverofDomesticandForeign.pdf WA98008GENERALELECTRICCOMPANYWaive...

44

WA_99_022_AIR_PRODUCTS_AND_CHEMICAL_Waiver_of_Domestic_and_F...  

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

9022AIRPRODUCTSANDCHEMICALWaiverofDomesticandF.pdf WA99022AIRPRODUCTSANDCHEMICALWaiverofDomesticandF.pdf WA99022AIRPRODUCTSANDCHEMICALWaiverofDomestic...

45

WA_02_015_AIR_PRODUCTS_AND_CHEMICALS_INC_Waiver_of_Patent_Ri...  

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

15AIRPRODUCTSANDCHEMICALSINCWaiverofPatentRi.pdf WA02015AIRPRODUCTSANDCHEMICALSINCWaiverofPatentRi.pdf WA02015AIRPRODUCTSANDCHEMICALSINCWaiverofPatent...

46

WA_04_063_AIR_PRODUCTS_AND_CHEMICALS_Waiver_of_Patent_Rights...  

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

63AIRPRODUCTSANDCHEMICALSWaiverofPatentRights.pdf WA04063AIRPRODUCTSANDCHEMICALSWaiverofPatentRights.pdf WA04063AIRPRODUCTSANDCHEMICALSWaiverofPatentRig...

47

WA_04_083_AIR_PRODUCTS_AND_CHEMICALS_Waiver_of_Patent_Rights...  

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

83AIRPRODUCTSANDCHEMICALSWaiverofPatentRights.pdf WA04083AIRPRODUCTSANDCHEMICALSWaiverofPatentRights.pdf WA04083AIRPRODUCTSANDCHEMICALSWaiverofPatentRig...

48

WA_01_005__PRAXAIR_INC_Waiver_of_Domestic_and_Foreign_patent...  

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

1005PRAXAIRINCWaiverofDomesticandForeignpatent.pdf WA01005PRAXAIRINCWaiverofDomesticandForeignpatent.pdf WA01005PRAXAIRINCWaiverofDomesticandForeign...

49

WA_01_022_PRAXAIR_INC_AND_BP_AMOCO_Waiver_of_Domestic_and_Fo...  

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

1022PRAXAIRINCANDBPAMOCOWaiverofDomesticandFo.pdf WA01022PRAXAIRINCANDBPAMOCOWaiverofDomesticandFo.pdf WA01022PRAXAIRINCANDBPAMOCOWaiverofDomestic...

50

WA_03_018_HONEYWELL_INTERNATIONAL_Waiver_of_Domestic_and_For...  

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

3018HONEYWELLINTERNATIONALWaiverofDomesticandFor.pdf WA03018HONEYWELLINTERNATIONALWaiverofDomesticandFor.pdf WA03018HONEYWELLINTERNATIONALWaiverofDomestica...

51

WA_02_028_TRANE_CO__Waiver_of_Domestic_and_Foreign_Rights_in...  

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

5YORKINTERNATIONALCORPORATIONWaiverofDomesti.pdf WA01034INGERSOLL-RANDENERGYSYSTEMSWaiverofDomestica.pdf WA01011HONEYWELLLABORATORIESWaiverofDomesticandFore...

52

WA_04_040_HONEYWELL_INTERNATIONAL_INC_Waiver_of_Patent_Right...  

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

40HONEYWELLINTERNATIONALINCWaiverofPatentRight.pdf WA04040HONEYWELLINTERNATIONALINCWaiverofPatentRight.pdf WA04040HONEYWELLINTERNATIONALINCWaiverofPatentRi...

53

WA_03_041_HONEYWELL_INTERNATIONAL_Waiver_of_Domestic_and_For...  

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

3041HONEYWELLINTERNATIONALWaiverofDomesticandFor.pdf WA03041HONEYWELLINTERNATIONALWaiverofDomesticandFor.pdf WA03041HONEYWELLINTERNATIONALWaiverofDomestica...

54

WA_01_011_HONEYWELL_LABORATORIES_Waiver_of_Domestic_and_Fore...  

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

11HONEYWELLLABORATORIESWaiverofDomesticandFore.pdf WA01011HONEYWELLLABORATORIESWaiverofDomesticandFore.pdf WA01011HONEYWELLLABORATORIESWaiverofDomesticandF...

55

WA_00_011_HONEYWELL_INTERNATIONAL_Waiver_of_Domestic_and_For...  

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

0011HONEYWELLINTERNATIONALWaiverofDomesticandFor.pdf WA00011HONEYWELLINTERNATIONALWaiverofDomesticandFor.pdf WA00011HONEYWELLINTERNATIONALWaiverofDomestica...

56

WA_00_010_ROCKWELL_SCIENCE_CENTER_A_Subcontractor_of_SILICON...  

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

NTERASubcontractorofSILICON.pdf More Documents & Publications WA03011ROCKWELLAUTOMATIONWaiverofPatentRightsUnder.pdf WA01034INGERSOLL-RANDENERGYSYSTEMSWaiverof...

57

WA_04_034_NUVERA_FUEL_CELLS_INC_Waiver_of_Domestic_and_Forei...  

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

34NUVERAFUELCELLSINCWaiverofDomesticandForei.pdf WA04034NUVERAFUELCELLSINCWaiverofDomesticandForei.pdf WA04034NUVERAFUELCELLSINCWaiverofDomesticandFo...

58

WA_04_041_NUVERA_FUEL_CELLS_INC_Waiver_of_Domestic_and_Forei...  

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

41NUVERAFUELCELLSINCWaiverofDomesticandForei.pdf WA04041NUVERAFUELCELLSINCWaiverofDomesticandForei.pdf WA04041NUVERAFUELCELLSINCWaiverofDomesticandFo...

59

BayWa Group | Open Energy Information  

Open Energy Info (EERE)

BayWa Group BayWa Group Jump to: navigation, search Name BayWa Group Place Munich, Germany Zip 81925 Sector Services, Solar Product Germany-based company with international operations specialised in wholesale and retail and in providing services. The company is also active in the biofuel and solar sectors. Coordinates 48.136415°, 11.577531° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":48.136415,"lon":11.577531,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

60

BayWa Sunways JV | Open Energy Information  

Open Energy Info (EERE)

Sunways JV Jump to: navigation, search Name: BayWa & Sunways JV Place: Germany Sector: Solar Product: Germany-based JV that specialises in developing, planning and realizing...

Note: This page contains sample records for the topic "forecasting wa id" 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

RAPID/Roadmap/14-WA-b | Open Energy Information  

Open Energy Info (EERE)

RAPID Regulatory and Permitting Information Desktop Toolkit BETA RAPID Toolkit About Bulk Transmission Geothermal Solar Tools Contribute Contact Us 14-WA-b NPDES Permit...

62

RAPID/Roadmap/9-WA-a | Open Energy Information  

Open Energy Info (EERE)

(EIS) is necessary. Contact Information Agency Washington State Department of Ecology Position State Environmental Issues Contact Name Fran Sant Email fran.sant@ecy.wa.gov...

63

Fourth Annual SECA Meeting - Seattle, WA  

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

Fourth Annual SECA Meeting - Seattle, WA Fourth Annual SECA Meeting - Seattle, WA April 15-16, 2003 Table of Contents Disclaimer Papers and Presentations Expanded Applications of SECA Fuel Cells SECA Industrial Team Reports Military Applications of Fuel Cells Technology Highlights Environmental Considerations Disclaimer This report was prepared as an account of work sponsored by an agency of the United States Government. Neither the United States Government or any agency thereof, nor any of their employees, makes any warranty, express or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, or represents that its use would not infringe privately owned rights. Reference herein to any specific commercial product, process, or service by trade name, trademark, manufacturer, or otherwise does not necessarily constitute or imply its endorsement, recommendation, or favoring by the United States Government or any agency thereof. The views and opinions of authors expressed herein do not necessarily state or reflect those of the United States Government or any agency thereof.

64

waTer economics. environmenTand Policy  

E-Print Network (OSTI)

41 cenTre for waTer economics. environmenTand Policy "Men and nature must work hand in hand and public policy insights for the supply, demand, management, and governance of water CWEEP pronounced `sweep' as in to survey so as to obtain a whole and continuous view of the world #12;42 waTer is a cri

Botea, Adi

65

RECIPIENT:WA Department of Commerce STATE: WA PROJECT Van Dyk Dairy Anaerobic Digester  

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

of5 of5 RECIPIENT:WA Department of Commerce STATE: WA PROJECT Van Dyk Dairy Anaerobic Digester TITLE: Funding Opportunity Announcement Number Procurement Instrument Number NEPA Control Number cm Number DE-EE0000139 GF0-10-604 Based on my review oftbe information concerning the proposed action, as NEPA CompUance Officer (authorized under DOE Order 451.1A), I have made the foUowing determination: cx, EA, EIS APPENDIX AND NUMBER: Description: A9 Information gathering (including, but not limited to, literature surveys, inventories, audits), data analysis (including computer modeling), document preparation (such as conceptual design or feasibility studies, analytical energy supply and demand studies), and dissemination (including, but not limited to, document mailings, publication, and distribution;

66

Hanford, WA Selected as Plutonium Production Facility | National Nuclear  

National Nuclear Security Administration (NNSA)

Hanford, WA Selected as Plutonium Production Facility | National Nuclear Hanford, WA Selected as Plutonium Production Facility | National Nuclear Security Administration Our Mission Managing the Stockpile Preventing Proliferation Powering the Nuclear Navy Emergency Response Recapitalizing Our Infrastructure Continuing Management Reform Countering Nuclear Terrorism About Us Our Programs Our History Who We Are Our Leadership Our Locations Budget Our Operations Media Room Congressional Testimony Fact Sheets Newsletters Press Releases Speeches Events Social Media Video Gallery Photo Gallery NNSA Archive Federal Employment Apply for Our Jobs Our Jobs Working at NNSA Blog Home > About Us > Our History > NNSA Timeline > Hanford, WA Selected as Plutonium Production Facility Hanford, WA Selected as Plutonium Production Facility January 16, 1943 Hanford, WA

67

Advance Patent Waiver W(A)2008-035 | Department of Energy  

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

public. Advance Patent Waiver W(A)2008-035 More Documents & Publications WA07038POETPROJECTLIBERTYLLCWaiverofDomesticandFo.pdf Advance Patent Waiver W(A)2008-022...

68

Advance Patent Waiver W(A)2010-042 | Department of Energy  

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

Waiver W(A)2010-042 More Documents & Publications Advance Patent Waiver W(A)2005-023 WA02055PRAXAIRWaiverofDomesticandForeignPatentRigh.pdf ClassWaiverWC-2003-001.pdf...

69

WA_00_008_PLUG_POWER_Waiver_of_Patent_Rights_in_Performance_...  

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

POWERWaiverofPatentRightsinPerformance.pdf More Documents & Publications WA99012AIRPRODUCTSWaiverofPatentRightsUnderANNVO.pdf WA99022AIRPRODUCTSANDCHEMICAL...

70

WA_99_012_AIR_PRODUCTS_Waiver_of_Patent_Rights_Under_AN_NVO_...  

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

2AIRPRODUCTSWaiverofPatentRightsUnderANNVO.pdf WA99012AIRPRODUCTSWaiverofPatentRightsUnderANNVO.pdf WA99012AIRPRODUCTSWaiverofPatentRightsUnderANNV...

71

WA_1994_027_FORD_MOTOR_COMPANY_Waiver_of_Domestic_and_Foreig...  

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

2FORDMOTORCOMPANYWaiverofDomesticandForeig.pdf WA97038FORDMOTORCOMPANYWaiverofDomesticandForeign.pdf WA99012AIRPRODUCTSWaiverofPatentRightsUnderANNVO...

72

WA_00_018_PRAXAIR_Waive_of_Domestic_and_Foreign_Invention_Ri...  

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

18PRAXAIRWaiveofDomesticandForeignInventionRi.pdf WA00018PRAXAIRWaiveofDomesticandForeignInventionRi.pdf WA00018PRAXAIRWaiveofDomesticandForeignInvention...

73

WA_02_046_QUESTA_AIR_TECHNOLOGIES_Waiver_of_Domestic_and_For...  

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

IRTECHNOLOGIESWaiverofDomesticandFor.pdf More Documents & Publications WA02055PRAXAIRWaiverofDomesticandForeignPatentRigh.pdf WA02021H2GENINNOVATIONSWaiverof...

74

WA_03_024_PRAXAIR_Waiver_of_Domestic_and_Foreign_Invention_R...  

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

24PRAXAIRWaiverofDomesticandForeignInventionR.pdf WA03024PRAXAIRWaiverofDomesticandForeignInventionR.pdf WA03024PRAXAIRWaiverofDomesticandForeignInventio...

75

WA_01_039_PRAXAIR_INC_Waiver_of_Domestic_and_Foreign_Patent_...  

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

1039PRAXAIRINCWaiverofDomesticandForeignPatent.pdf WA01039PRAXAIRINCWaiverofDomesticandForeignPatent.pdf WA01039PRAXAIRINCWaiverofDomesticandForeignP...

76

WA_02_055_PRAXAIR_Waiver_of_Domestic_and_Foreign_Patent_Righ...  

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

2055PRAXAIRWaiverofDomesticandForeignPatentRigh.pdf WA02055PRAXAIRWaiverofDomesticandForeignPatentRigh.pdf WA02055PRAXAIRWaiverofDomesticandForeignPaten...

77

WA_00_001_PRAXAIR_INC_Waiver_of_Domestic_and_Foreign_Inventi...  

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

01PRAXAIRINCWaiverofDomesticandForeignInventi.pdf WA00001PRAXAIRINCWaiverofDomesticandForeignInventi.pdf WA00001PRAXAIRINCWaiverofDomesticandForeignInve...

78

WA_04_079_PRAXAIR_INC_Waiver_of_Patent_Rights_Under_a_Subcon...  

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

04079PRAXAIRINCWaiverofPatentRightsUnderaSubcon.pdf WA04079PRAXAIRINCWaiverofPatentRightsUnderaSubcon.pdf WA04079PRAXAIRINCWaiverofPatentRightsUndera...

79

WA_02_022_HONEYWELL_INC_Waiver_of_Domestic_and_Foreign_Inven...  

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

22HONEYWELLINCWaiverofDomesticandForeignInven.pdf WA02022HONEYWELLINCWaiverofDomesticandForeignInven.pdf WA02022HONEYWELLINCWaiverofDomesticandForeignIn...

80

WA_02_045_KENNAMETAL_INC_Waiver_of_Domestic_and_Foreign_Righ...  

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

LINCWaiverofDomesticandForeignRigh.pdf More Documents & Publications WA00011HONEYWELLINTERNATIONALWaiverofDomesticandFor.pdf WA01034INGERSOLL-RANDENERGYSYSTEMS...

Note: This page contains sample records for the topic "forecasting wa id" 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

WA_04_039_HONEYWELL_INTERNATIONAL_Waiver_of_Patent_Rights_Un...  

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

9HONEYWELLINTERNATIONALWaiverofPatentRightsUn.pdf WA04039HONEYWELLINTERNATIONALWaiverofPatentRightsUn.pdf WA04039HONEYWELLINTERNATIONALWaiverofPatentRights...

82

WA_04_007_OSHKOSH_TRUCK_CORP_Waiver_of_Patent_Rights_Under_N...  

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

WaiverofPatentRightsUnderN.pdf More Documents & Publications WA03011ROCKWELLAUTOMATIONWaiverofPatentRightsUnder.pdf WA04008GENERALMOTORSCORPWaiverofPatentRi...

83

WA_03_011_ROCKWELL_AUTOMATION_Waiver_of_Patent_Rights_Under_...  

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

3011ROCKWELLAUTOMATIONWaiverofPatentRightsUnder.pdf WA03011ROCKWELLAUTOMATIONWaiverofPatentRightsUnder.pdf WA03011ROCKWELLAUTOMATIONWaiverofPatentRights...

84

DOE/ID-Number  

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

www.inl.gov Prepared for the U.S. Department of Energy Office of Nuclear Energy Under DOE Idaho Operations Office Contract DE-AC07-05ID14517 ii EXECUTIVE SUMMARY The U.S....

85

Data ID Service  

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

ID Service First DOI for a DOE dataset was minted by OSTI and registered with DataCite on 8102011 from the DOE Atmospheric Radiation Measurement (ARM) Climate Research Facility...

86

Forecasting wireless communication technologies  

Science Journals Connector (OSTI)

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

Sabrina Patino; Jisun Kim; Tugrul U. Daim

2010-01-01T23:59:59.000Z

87

Wind Power Forecasting  

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

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

88

Solar forecasting review  

E-Print Network (OSTI)

2.1.2 European Solar Radiation Atlas (ESRA)2.4 Evaluation of Solar Forecasting . . . . . . . . .2.4.1 Solar Variability . . . . . . . . . . . . .

Inman, Richard Headen

2012-01-01T23:59:59.000Z

89

Wind Power Forecasting  

Science Journals Connector (OSTI)

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

Sue Ellen Haupt; William P. Mahoney; Keith Parks

2014-01-01T23:59:59.000Z

90

Energy Demand Forecasting  

Science Journals Connector (OSTI)

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

S. C. Bhattacharyya

2011-01-01T23:59:59.000Z

91

Isotopic Studies of Contaminant Transport at the Hanford Site, WA  

E-Print Network (OSTI)

MR-0132. Westinghouse Hanford Company, Richland WA. Bretz,in recharge at the Hanford Site. Northwest Science. 66:237-M.J. , ed. 2000. Hanford Site groundwater Monitoring

Christensen, J.N.; Conrad, M.E.; DePaolo, D.J.; Dresel, P.E.

2008-01-01T23:59:59.000Z

92

RAPID/Roadmap/18-WA-b | Open Energy Information  

Open Energy Info (EERE)

period in which the WSDE has to respond to the Demonstration of Compliance. 18-WA-b.17 - Conduct Public Meeting, if Requested If the public requests a public meeting on the...

93

Improving Inventory Control Using Forecasting  

E-Print Network (OSTI)

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

Balandran, Juan

2005-12-16T23:59:59.000Z

94

Technology Forecasting Scenario Development  

E-Print Network (OSTI)

Technology Forecasting and Scenario Development Newsletter No. 2 October 1998 Systems Analysis was initiated on the establishment of a new research programme entitled Technology Forecasting and Scenario and commercial applica- tion of new technology. An international Scientific Advisory Panel has been set up

95

CAPP 2010 Forecast.indd  

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

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

96

Advance Patent Waiver W(A)2005-027  

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

This is a request by WESTINGHOUSE ELECTRIC CORPORATION for a DOE waiver of domestic and foreign patent rights under agreement DE-FC07-05ID14636.

97

Valuing Climate Forecast Information  

Science Journals Connector (OSTI)

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

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

1987-09-01T23:59:59.000Z

98

Comparing Forecast Skill  

Science Journals Connector (OSTI)

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

Timothy DelSole; Michael K. Tippett

2014-12-01T23:59:59.000Z

99

Generating Spatio-Temporal Descriptions in Pollen Forecasts Ross Turner, Somayajulu Sripada and Ehud Reiter  

E-Print Network (OSTI)

Date AreaID Value 27/06/2005 1 (North) 6 27/06/2005 2 (North West) 5 27/06/2005 3 (Central) 5 27/06/2005 4Generating Spatio-Temporal Descriptions in Pollen Forecasts Ross Turner, Somayajulu Sripada al., 1994) and MultiMeteo (Coch, 1998). 2 Knowledge Acquisition Our knowledge acquisition activities

100

Gaseous Detonation-Driven Fracture of Tubes Tong Wa Chao  

E-Print Network (OSTI)

Gaseous Detonation-Driven Fracture of Tubes Thesis by Tong Wa Chao In Partial Fulfillment An experimental investigation of fracture response of aluminum 6061-T6 tubes under internal gaseous detonation on the detonation velocity, strain history, blast pressure from the crack opening, and crack speeds. The curved

Note: This page contains sample records for the topic "forecasting wa id" 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

EIS-0397: Lyle Falls Fish Passage Project, WA  

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

This EIS analyzes BPA's decision to modify funding to the existing Lyle Falls Fishway on the lower Klickitat River in Klickitat County, WA. The proposed project would help BPA meet its off-site mitigation responsibilities for anadromous fish affected by the development of the Federal Columbia River Power System and increase overall fish production in the Columbia Basin.

102

DOE - Office of Legacy Management -- University of Washington - WA 0-01  

Office of Legacy Management (LM)

Washington - WA 0-01 Washington - WA 0-01 FUSRAP Considered Sites Site: UNIVERSITY OF WASHINGTON (WA.0-01) Eliminated from further consideration under FUSRAP Designated Name: Not Designated Alternate Name: None Location: Seattle , Washington WA.0-01-1 Evaluation Year: 1987 WA.0-01-1 Site Operations: Research activities involving small quantities of radioactive materials in a controlled environment. WA.0-01-1 Site Disposition: Eliminated - Potential for residual radioactive contamination considered remote - Operating under active NRC license WA.0-01-1 Radioactive Materials Handled: Yes Primary Radioactive Materials Handled: None Indicated WA.0-01-1 Radiological Survey(s): None Indicated Site Status: Eliminated from further consideration under FUSRAP Also see

103

STUDENT ID Page 2 m  

E-Print Network (OSTI)

Write your name, student ID number, recitation instructor's name and recitation time in the space provided above. Also write your name at the top of pages 2, 3,...

104

Sandia National Laboratories: solar forecasting  

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

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

105

Consensus Coal Production Forecast for  

E-Print Network (OSTI)

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

Mohaghegh, Shahab

106

Advance Patent Waiver W(A)2005-025  

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

This is a request by G.E. NUCLEAR ENERGY for a DOE waiver of domestic and foreign patent rights under agreement DE-FC07-05ID14635

107

Advance Patent Waiver W(A)2005-026  

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

This is a request by G.E. NUCLEAR ENERGY for a DOE waiver of domestic and foreign patent rights under agreement DE-FC07-05ID14036.

108

Annual Energy Outlook Forecast Evaluation - Tables  

Gasoline and Diesel Fuel Update (EIA)

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

109

On Sequential Probability Forecasting  

E-Print Network (OSTI)

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

McCarl, Bruce A.

110

Property:RAPID/Contact/ID2/Email | Open Energy Information  

Open Energy Info (EERE)

and Historic Preservation + rob.whitlam@dahp.wa.gov + Washington State Department of Ecology + fran.sant@ecy.wa.gov + Washington State Department of Natural Resources +...

111

File:INL-geothermal-wa.pdf | Open Energy Information  

Open Energy Info (EERE)

wa.pdf wa.pdf Jump to: navigation, search File File history File usage Washington Geothermal Resources Size of this preview: 699 × 600 pixels. Full resolution ‎(4,835 × 4,147 pixels, file size: 3.28 MB, MIME type: application/pdf) Description Washington Geothermal Resources Sources Idaho National Laboratory Authors Patrick Laney; Julie Brizzee Related Technologies Geothermal Creation Date 2003-11-01 Extent State Countries United States UN Region Northern America States Washington File history Click on a date/time to view the file as it appeared at that time. Date/Time Thumbnail Dimensions User Comment current 12:45, 16 December 2010 Thumbnail for version as of 12:45, 16 December 2010 4,835 × 4,147 (3.28 MB) MapBot (Talk | contribs) Automated upload from NREL's "mapsearch" data

112

GRR/Section 15-WA-a - Air Quality Notice of Construction Permit | Open  

Open Energy Info (EERE)

5-WA-a - Air Quality Notice of Construction Permit 5-WA-a - Air Quality Notice of Construction Permit < GRR Jump to: navigation, search GRR-logo.png GEOTHERMAL REGULATORY ROADMAP Roadmap Home Roadmap Help List of Sections Section 15-WA-a - Air Quality Notice of Construction Permit 15-WA-a - Air Quality Notice of Construction Permit.pdf Click to View Fullscreen Contact Agencies Washington State Department of Ecology Regulations & Policies WAC 173-400-110 WAC 173-400-111 WAC 173-400-171 Triggers None specified This flowchart illustrates the process for obtaining an Air Quality Notice of Construction Permit. The Washington State Department of Ecology (WSDE) oversees the permitting process under WAC 173-400. 15-WA-a - Air Quality Notice of Construction Permit.pdf 15-WA-a - Air Quality Notice of Construction Permit.pdf 15-WA-a - Air Quality Notice of Construction Permit.pdf

113

Annual Energy Outlook Forecast Evaluation  

Gasoline and Diesel Fuel Update (EIA)

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

114

DOE/ID-Number  

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

INEEL/EXT-04-02423 INEEL/EXT-04-02423 ABB SCADA/EMS System INEEL Baseline Summary Test Report J. R. Davidson M. R. Permann B. L. Rolston S. J. Schaeffer November 2004 Prepared by: Idaho National Engineering and Environmental Laboratory INEEL/EXT-04-02423 ABB SCADA/EMS System INEEL Baseline Summary Test Report J. R. Davidson M. R. Permann B. L. Rolston S. J. Schaeffer November 2004 Idaho National Engineering and Environmental Laboratory INEEL National Security Division Idaho Falls, Idaho 83415 Prepared for the U.S. Department of Energy Office of Energy Assurance Under DOE Idaho Operations Office Contract DE-AC07-99ID13727 ABB SCADA/EMS System INEEL Baseline Summary Test Report INEEL/EXT-04-02423 November 2004 ABSTRACT The Idaho National Engineering and Environmental Laboratory

115

DOE/ID-Number  

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

INL/EXT-08-13979 INL/EXT-08-13979 U.S. Department of Energy Office of Electricity Delivery and Energy Reliability Enhancing control systems security in the energy sector NSTB National SCADA Test Bed Common Cyber Security Vulnerabilities Observed in Control System Assessments by the INL NSTB Program November 2008 November 2008 INL/EXT-08-13979 Common Cyber Security Vulnerabilities Observed in Control System Assessments by the INL NSTB Program November 2008 Idaho National Laboratory Idaho Falls, Idaho 83415 http://www.inl.gov Prepared for the U.S. Department of Energy Office of Electricity Delivery and Energy Reliability Under DOE Idaho Operations Office Contract DE-AC07-05ID14517 Common Cyber Security Vulnerabilities Observed in Control System Assessments by the INL NSTB

116

Category:Boise, ID | Open Energy Information  

Open Energy Info (EERE)

ID ID Jump to: navigation, search Go Back to PV Economics By Location Media in category "Boise, ID" The following 16 files are in this category, out of 16 total. SVFullServiceRestaurant Boise ID Idaho Power Co.png SVFullServiceRestauran... 61 KB SVHospital Boise ID Idaho Power Co.png SVHospital Boise ID Id... 62 KB SVLargeHotel Boise ID Idaho Power Co.png SVLargeHotel Boise ID ... 66 KB SVLargeOffice Boise ID Idaho Power Co.png SVLargeOffice Boise ID... 58 KB SVMediumOffice Boise ID Idaho Power Co.png SVMediumOffice Boise I... 63 KB SVMidriseApartment Boise ID Idaho Power Co.png SVMidriseApartment Boi... 61 KB SVOutPatient Boise ID Idaho Power Co.png SVOutPatient Boise ID ... 62 KB SVPrimarySchool Boise ID Idaho Power Co.png SVPrimarySchool Boise ... 62 KB SVQuickServiceRestaurant Boise ID Idaho Power Co.png

117

Annual Energy Outlook Forecast Evaluation  

Gasoline and Diesel Fuel Update (EIA)

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

118

Cognitive Science Minor Approval Form Name __________________________________________ ID # _________________________  

E-Print Network (OSTI)

Cognitive Science Minor Approval Form Name __________________________________________ ID: ___________________________________________________ _______________ Cognitive Science Minor Committee Date

Gering, Jon C.

119

Integrated Datasets (IDs) Wood/Bretherton proposal  

E-Print Network (OSTI)

Integrated Datasets (IDs) Wood/Bretherton proposal ID Rationale Space/Time scale; Location; Platforms Parameters Combined Drizzle Dataset (CD ID) Collocated precipitation, aerosol and cloud micro, precip. rate, cloud Cross- Section Dataset (XS-ID) Data on E-W cross- section along 20°S from coast

Wood, Robert

120

DOE-ID Operations Summary  

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

in to service. NE-ID-BEA-TSD- 2013-0001 July 16, 2013: BEA discovered that a proper lockouttagout had not been installed for work being performed on the Advanced Test Reactor....

Note: This page contains sample records for the topic "forecasting wa id" 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

Price forecasting for notebook computers.  

E-Print Network (OSTI)

??This paper proposes a four-step approach that uses statistical regression to forecast notebook computer prices. Notebook computer price is related to constituent features over a (more)

Rutherford, Derek Paul

2012-01-01T23:59:59.000Z

122

Ensemble Forecasts and their Verification  

E-Print Network (OSTI)

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

Maryland at College Park, University of

123

GRR/Section 9-WA-b - State Environmental Review | Open Energy Information  

Open Energy Info (EERE)

GRR/Section 9-WA-b - State Environmental Review GRR/Section 9-WA-b - State Environmental Review < GRR Jump to: navigation, search GRR-logo.png GEOTHERMAL REGULATORY ROADMAP Roadmap Home Roadmap Help List of Sections Section 9-WA-b - State Environmental Review 9-WA-b - State Environmental Review.pdf Click to View Fullscreen Triggers None specified Once the lead agency is determined they are responsible for continuing forward with environmental review. In Washington, environmental review is effectuated through the developer completing an Environmental Checklist which assists the lead agency in determining whether the proposal will likely result in negative impacts on the environment. 9-WA-b - State Environmental Review.pdf 9-WA-b - State Environmental Review.pdf Error creating thumbnail: Page number not in range.

124

Probabilistic manpower forecasting  

E-Print Network (OSTI)

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

Koonce, James Fitzhugh

1966-01-01T23:59:59.000Z

125

Diagnosing Forecast Errors in Tropical Cyclone Motion  

Science Journals Connector (OSTI)

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

Thomas J. Galarneau Jr.; Christopher A. Davis

2013-02-01T23:59:59.000Z

126

Project Profile: Forecasting and Influencing Technological Progress...  

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

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

127

Forecasting with adaptive extended exponential smoothing  

Science Journals Connector (OSTI)

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

John T. Mentzer Ph.D.

128

Electricity price forecasting in a grid environment.  

E-Print Network (OSTI)

??Accurate electricity price forecasting is critical to market participants in wholesale electricity markets. Market participants rely on price forecasts to decide their bidding strategies, allocate (more)

Li, Guang, 1974-

2007-01-01T23:59:59.000Z

129

Energy Department Forecasts Geothermal Achievements in 2015 ...  

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

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

130

Annual Energy Outlook Forecast Evaluation  

Gasoline and Diesel Fuel Update (EIA)

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

131

Annual Energy Outlook Forecast Evaluation  

Gasoline and Diesel Fuel Update (EIA)

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

132

W(A)94-022 STATEMENT OF CONSIDERATIONS  

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

4-022 4-022 STATEMENT OF CONSIDERATIONS Request by Cummins Power Generation, Inc., for an Advance Waiver of Domestic and Foreign Patent Rights to Inventions made under a contract entitled "Utility Scale Joint Venture Project," between Cummins Power Generation, Inc. and Sandia National Laboratories (Contract No. AB- 8717B) under Management and Operations Contract DE-AL04-84AL85000, DOE Docket No. W(A)94-022. The petitioner, Cummins Power Generation, Inc., (CPG) has requested a waiver of all domestic and foreign patent rights to inventions which it may conceive or first actually reduce to practice in the course of work under the Utility Scale Joint Venture Project between Petitioner and Sandia National Laboratories (Sandia) under contract No. AB- 8717B. Sandia is operated by Sandia Corporation for the U.S. Department of Energy (DOE).

133

W(A)93-013 STATEMENT OF CONSIDERATIONS  

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

13 13 STATEMENT OF CONSIDERATIONS Request by AlliedSignal, Inc. for Waiver of Domestic and Foreign Patent Rights to inventions that may arise under Contract No. DE-FC04-93AL94462 between the United States Department of Energy (DOE) and AlliedSignal, Inc. DOE Docket: W(A)93-013 The Petitioner, AlliedSignal, Inc. (AlliedSignal), has requested a waiver of all domestic and foreign patent rights to inventions which it may conceive or reduce to practice in the course of work under Contract No. DE-FC04-93AL94462, a Cooperative Agreement with DOE. The project period is May 14, 1993 through May 13, 1996. The Cooperative Agreement covers work in designing a biological/chemical production process for caprolactam using microbial bioprocesses that convert cyclohexane to

134

W(A)93-039 STATEMENT OF CONSIDERATIONS  

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

39 39 STATEMENT OF CONSIDERATIONS Request by Air Products and Chemicals, Inc. for Waiver of Domestic and Foreign Patent Rights to inventions that may arise under Contract No. DE-FC04-93AL94461 between the United States Department of Energy (DOE) and Air Products and Chemicals, Inc. DOE Docket: W(A)93-039. The Petitioner, Air Products and Chemicals, Inc., (Air Products) has requested a waiver of all domestic and foreign patent rights to inventions which it may conceive or reduce to practice in the course of work under Contract No. DE-FC04-93AL94461 a Cooperative Agreement with DOE. The contract covers a four phase development program for a recently patented technology developed at Air Products entitled "Novel Selective Surface Flow (SSF T ) Membranes for the

135

GRR/Section 12-WA-a - Live Wildlife Taking Permit | Open Energy Information  

Open Energy Info (EERE)

GRR/Section 12-WA-a - Live Wildlife Taking Permit GRR/Section 12-WA-a - Live Wildlife Taking Permit < GRR Jump to: navigation, search GRR-logo.png GEOTHERMAL REGULATORY ROADMAP Roadmap Home Roadmap Help List of Sections Section 12-WA-a - Live Wildlife Taking Permit 12-WA-a - Live Wildlife Taking Permit.pdf Click to View Fullscreen Contact Agencies Washington State Department of Fish and Wildlife Regulations & Policies WAC 232-12-064 Triggers None specified In Washington, it is unlawful to take wildlife from the wild without permission from the Washington State Department of Fish and Wildlife (WDFW). The WDFW issues Live Wildlife Taking Permits under WAC 232-12-064. 12-WA-a - Live Wildlife Taking Permit.pdf Error creating thumbnail: Page number not in range. Error creating thumbnail: Page number not in range.

136

EIS-0473: W.A. Parish Post-Combustion CO2 Capture and Sequestration Project  

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

73: W.A. Parish Post-Combustion CO2 Capture and Sequestration 73: W.A. Parish Post-Combustion CO2 Capture and Sequestration Project (PCCS), Fort Bend County, TX EIS-0473: W.A. Parish Post-Combustion CO2 Capture and Sequestration Project (PCCS), Fort Bend County, TX SUMMARY This EIS evaluates the environmental impacts of a proposal to provide financial assistance for a project proposed by NRG Energy, Inc (NRG). DOE selected NRG's proposed W.A. Parish Post-Combustion CO2 Capture and Sequestration Project for a financial assistance award through a competitive process under the Clean Coal Power Initiative Program. NRG would design, construct and operate a commercial-scale carbon dioxide (CO2) capture facility at its existing W.A. Parish Generating Station in Fort Bend County, Texas; deliver the CO2 via a new pipeline to the existing West Ranch oil field in Jackson

137

Fisher & Paykel Appliances: ENERGY STAR Referral (WA42T26GW1) | Department  

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

Fisher & Paykel Appliances: ENERGY STAR Referral (WA42T26GW1) Fisher & Paykel Appliances: ENERGY STAR Referral (WA42T26GW1) Fisher & Paykel Appliances: ENERGY STAR Referral (WA42T26GW1) June 12, 2013 DOE referred the matter of Fisher & Paykel Appliances residential clothes washer, model WA42T26GW1, to the U.S. Environmental Protection Agency, brand manager for the ENERGY STAR Program, for appropriate action after DOE testing showed that the model does not meet the ENERGY STAR specification. Fisher & Paykel Appliances: ENERGY STAR Referral (WA42T26GW1) More Documents & Publications Regulatory Burden RFI DOE response to questions from AHAM on the supplemental proposed test procedure for residential clothes washers Scoping Study to Evaluate Feasibility of National Databases for EM&V Documents and Measure Savings: Appendices

138

EIS-0473: W.A. Parish Post-Combustion CO2 Capture and Sequestration Project  

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

EIS-0473: W.A. Parish Post-Combustion CO2 Capture and Sequestration EIS-0473: W.A. Parish Post-Combustion CO2 Capture and Sequestration Project (PCCS), Fort Bend County, TX EIS-0473: W.A. Parish Post-Combustion CO2 Capture and Sequestration Project (PCCS), Fort Bend County, TX SUMMARY This EIS evaluates the environmental impacts of a proposal to provide financial assistance for a project proposed by NRG Energy, Inc (NRG). DOE selected NRG's proposed W.A. Parish Post-Combustion CO2 Capture and Sequestration Project for a financial assistance award through a competitive process under the Clean Coal Power Initiative Program. NRG would design, construct and operate a commercial-scale carbon dioxide (CO2) capture facility at its existing W.A. Parish Generating Station in Fort Bend County, Texas; deliver the CO2 via a new pipeline to the existing West Ranch oil field in Jackson

139

GRR/Section 3-WA-b - Land Access Overview | Open Energy Information  

Open Energy Info (EERE)

GRR/Section 3-WA-b - Land Access Overview GRR/Section 3-WA-b - Land Access Overview < GRR Jump to: navigation, search GRR-logo.png GEOTHERMAL REGULATORY ROADMAP Roadmap Home Roadmap Help List of Sections Section 3-WA-b - Land Access Overview 3-WA-b - Land Access Overview.pdf Click to View Fullscreen Contact Agencies Washington State Department of Natural Resources Triggers None specified Any developer that needs access to or through state lands must obtain the appropriate permit or lease. The developer will obtain such permit or lease through the Washington State Department of Natural Resources. 3-WA-b - Land Access Overview.pdf Error creating thumbnail: Page number not in range. Error creating thumbnail: Page number not in range. Error creating thumbnail: Page number not in range. Flowchart Narrative

140

Correcting and combining time series forecasters  

Science Journals Connector (OSTI)

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

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

2014-02-01T23:59:59.000Z

Note: This page contains sample records for the topic "forecasting wa id" 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

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

E-Print Network (OSTI)

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

142

Copyright 2004 Auto-ID Labs, All Rights Reserved The Auto-ID Labs  

E-Print Network (OSTI)

2004 Auto-ID Labs, All Rights Reserved Research Projects ­ Seven Major Categories · Auto-ID Technology to create a free flow of models in a network (Internet or Intranet) #12;©Copyright 2004 Auto-ID Labs, All depends on the flow of data for effective management. · Auto-ID and other technologies will increase

Brock, David

143

Microbial community changes during sustained Cr(VI) reduction at the 100H site in Hanford, WA  

E-Print Network (OSTI)

at the 100H site in Hanford, WA Romy Chakraborty 1 , Eoin Lcontaminated aquifer at the Hanford (WA) 100H site in 2004.Cr(VI) reduction at Hanford, and a comparison of the

Chakraborty, Romy

2010-01-01T23:59:59.000Z

144

Forecast Energy | Open Energy Information  

Open Energy Info (EERE)

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

145

Price forecasting for notebook computers  

E-Print Network (OSTI)

This paper proposes a four-step approach that uses statistical regression to forecast notebook computer prices. Notebook computer price is related to constituent features over a series of time periods, and the rates of change in the influence...

Rutherford, Derek Paul

2012-06-07T23:59:59.000Z

146

Forecasting phenology under global warming  

Science Journals Connector (OSTI)

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

2010-01-01T23:59:59.000Z

147

Demand Forecasting of New Products  

E-Print Network (OSTI)

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

Sun, Yu

148

1. CONTRACT ID CODE PAGE OF PAGES  

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

BY GIf aher than Item 6)1 CODE U.S. Department of Energy Office of River Protection P. 0. Box 450, MS 1-6-60 Richland, WA 99352 8 NAvM AND ADDRESS OF CONTRACTOR (No.,...

149

Property:RAPID/Contact/ID4/Email | Open Energy Information  

Open Energy Info (EERE)

of Natural Resources + lauraault@utah.gov + W Washington State Department of Ecology + Jeff.marti@ecy.wa.gov + Washington State Department of Ecology + jeho461@ecy.wa.gov...

150

Weather forecasting : the next generation : the potential use and implementation of ensemble forecasting  

E-Print Network (OSTI)

This thesis discusses ensemble forecasting, a promising new weather forecasting technique, from various viewpoints relating not only to its meteorological aspects but also to its user and policy aspects. Ensemble forecasting ...

Goto, Susumu

2007-01-01T23:59:59.000Z

151

Wind Forecast Improvement Project Southern Study Area Final Report...  

Office of Environmental Management (EM)

Wind Forecast Improvement Project Southern Study Area Final Report Wind Forecast Improvement Project Southern Study Area Final Report Wind Forecast Improvement Project Southern...

152

Applying Bayesian Forecasting to Predict New Customers' Heating Oil Demand.  

E-Print Network (OSTI)

??This thesis presents a new forecasting technique that estimates energy demand by applying a Bayesian approach to forecasting. We introduce our Bayesian Heating Oil Forecaster (more)

Sakauchi, Tsuginosuke

2011-01-01T23:59:59.000Z

153

DOE-ID Operations Summary  

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

June 5, 2013 June 5, 2013 DOE-ID Operations Summary For the Period May 16, through May 30, 2013 EDITOR'S NOTE: The following is a summary of contractor operations at the Idaho National Laboratory, managed by DOE- Idaho Operations Office. It has been compiled in response to a request from stakeholders for more information on health, safety and environmental incidents at DOE facilities in Idaho. It also includes a brief summary of accomplishments at the Site. POC - Shannon Brennan, DOE-ID, (208) 526-3993. Advanced Mixed Waste Treatment Project (AMWTP) [No items to Report] Idaho Cleanup Project (ICP) May 15 - 30, 2013: CH2M-WG Idaho, LLC discovered three instances of new information at the Integrated Waste Treatment Unit (IWTU) which have the potential to impact the nuclear safety analysis

154

Document ID Number: RL-721  

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

Document ID Number: Document ID Number: RL-721 REV 4 NEPA REVIEW SCREENING FORM DOE/CX-00066 I. Project Title: Nesting Bird Deterrent Study at the 241-C Tank Farm CX B3.8, "Outdoor Terrestrial Ecological and Environmental Research" II. Project Description and Location (including Time Period over which proposed action will occur and Project Dimensions - e.g., acres displaced/disturbed, excavation length/depth, area/location/number of buildings, etc.): Washington River Protection Solutions LLC (WRPS) will perform an outdoor, terrestrial ecological research study to attempt to control and deter nesting birds at the 241-C Tank Farm. This will be a preventative study to test possible methods for controlling &/or minimizing the presence and impacts of nesting birds inside the tank farm. A nesting bird

155

RL·721 Document ID Number:  

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

Document ID Number: Document ID Number: REV 3 NEPA REVIEW SCREENING FORM DOE/CX-00045 . J.proj(;l~t Titl~: - - - -- - - - - - - - - - - - - - - - - - -- --------- ------_. . _ - - - - - - - - - - - - - . - - - - - - - - - - - - - - - - - - - LIMITED FIREBREAK MAINTENANCE ON THE HANFORD SITE DURING CALENDAR YEAR 2012 II. Project Description and Location (including Time Period over which proposed action will occur and Project Dimensions· e.g., acres displaced/disturbed, excavation length/depth, etc.): The Department of Energy (DOE) proposes to perform firebreak maintenance in selected areas of the Hanford Site during calendar year 2012 with limited use of physical, chemical, and prescribed burning methods. Prescribed burning will be performed by the Hanford Fire Department under approved burn plans and permits; and only in previously disturbed

156

Solar Energy Market Forecast | Open Energy Information  

Open Energy Info (EERE)

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

157

EIS-0467: Hanford Site Natural Gas Pipeline, Richland, WA | Department of  

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

7: Hanford Site Natural Gas Pipeline, Richland, WA 7: Hanford Site Natural Gas Pipeline, Richland, WA EIS-0467: Hanford Site Natural Gas Pipeline, Richland, WA Summary This EIS will evaluate the environmental impacts of a proposal to enter into a contract with a licensed natural gas supplier in Washington State to construct, operate, and maintain a natural gas pipeline. The pipeline would deliver natural gas to support the Waste Treatment Plant and the 242-A Evaporator operations in the 200 East Area of the Hanford Site. Public Comment Opportunities None available at this time. For more information, contact: Mr. Douglas Chapin, NEPA Document Manager U.S. Department of Energy Richland Operations Office P.O. Box 550, MSIN A5-11 Richland, WA 99352 Documents Available for Download January 23, 2012 EIS-0467: Notice of Intent to Prepare an Environmental Impact Statement and

158

GRR/Section 9-WA-c - State Environmental Impact Statement | Open Energy  

Open Energy Info (EERE)

GRR/Section 9-WA-c - State Environmental Impact Statement GRR/Section 9-WA-c - State Environmental Impact Statement < GRR Jump to: navigation, search GRR-logo.png GEOTHERMAL REGULATORY ROADMAP Roadmap Home Roadmap Help List of Sections Section 9-WA-c - State Environmental Impact Statement 9-WA-c - State Environmental Impact Statement.pdf Click to View Fullscreen Triggers None specified The primary purpose of an Environmental Impact Statement (EIS) is to ensure that the Washington State Environmental Policy Act (SEPA) policies are an integral part of the ongoing programs and actions of state and local government. An EIS must provide impartial discussion of significant environmental impacts and must inform decision makers and the public of reasonable alternatives, including mitigation measures that would avoid or minimize adverse impacts or enhance environmental quality. WAC 197-11-400.

159

GRR/Section 19-WA-f - Water Well NOI for Replacement or Additional Wells |  

Open Energy Info (EERE)

GRR/Section 19-WA-f - Water Well NOI for Replacement or Additional Wells GRR/Section 19-WA-f - Water Well NOI for Replacement or Additional Wells < GRR Jump to: navigation, search GRR-logo.png GEOTHERMAL REGULATORY ROADMAP Roadmap Home Roadmap Help List of Sections Section 19-WA-f - Water Well NOI for Replacement or Additional Wells 19-WA-f - Water Well NOI for Replacement or Additional Wells.pdf Click to View Fullscreen Contact Agencies Washington State Department of Ecology Regulations & Policies Revised Code of Washington 90.44.100 Revised Code of Washington 18.104.048 Washington Administrative Code 173-160-151 Triggers None specified A developer seeking to use ground water for an activity may need to drill a new well in a different location than a previous well, drill an additional well at an existing location, or drill a replacement well at the same

160

GRR/Section 11-WA-a - State Cultural Considerations Overview | Open Energy  

Open Energy Info (EERE)

GRR/Section 11-WA-a - State Cultural Considerations Overview GRR/Section 11-WA-a - State Cultural Considerations Overview < GRR Jump to: navigation, search GRR-logo.png GEOTHERMAL REGULATORY ROADMAP Roadmap Home Roadmap Help List of Sections Section 11-WA-a - State Cultural Considerations Overview 11-WA-a - State Cultural Considerations Overview.pdf Click to View Fullscreen Triggers None specified The developer will be required to comply with Washington state law when human remains or other cultural resources are discovered on a project site. Cultural resources include both historic and archaeological resources and sites. The discovery of cultural resources may require obtaining a permit and providing public notice and notice to Indian Tribes. Once the necessary procedures have been followed, the developer may continue with the project.

Note: This page contains sample records for the topic "forecasting wa id" 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

GRR/Section 14-WA-c - Underground Injection Control Permit | Open Energy  

Open Energy Info (EERE)

GRR/Section 14-WA-c - Underground Injection Control Permit GRR/Section 14-WA-c - Underground Injection Control Permit < GRR Jump to: navigation, search GRR-logo.png GEOTHERMAL REGULATORY ROADMAP Roadmap Home Roadmap Help List of Sections Section 14-WA-c - Underground Injection Control Permit 14-WA-c - Underground Injection Control Permit.pdf Click to View Fullscreen Contact Agencies Washington State Department of Ecology Regulations & Policies Chapter 173-218 WAC Non-endangerment Standard Triggers None specified The Safe Drinking Water Act requires Washington to implement technical criteria and standards to protect underground sources of drinking water from contamination. Under Chapter 173-218 WAC, the Washington State Department of Ecology (WSDE) regulates and permits underground injection control (UIC) wells in Washington. The Environmental Protection Agency

162

GRR/Section 18-WA-a - Underground Storage Tank Process | Open Energy  

Open Energy Info (EERE)

GRR/Section 18-WA-a - Underground Storage Tank Process GRR/Section 18-WA-a - Underground Storage Tank Process < GRR Jump to: navigation, search GRR-logo.png GEOTHERMAL REGULATORY ROADMAP Roadmap Home Roadmap Help List of Sections Section 18-WA-a - Underground Storage Tank Process 18-WA-a - Underground Storage Tank Process.pdf Click to View Fullscreen Contact Agencies Washington State Department of Ecology Regulations & Policies Revised Code of Washington Chapter 90.76 Washington Administrative Code Chapter 173-360 Triggers None specified Washington has a federally-approved state Underground Storage Tank (UST) program regulated by the Washington State Department of Ecology (WSDE) under Revised Code of Washington Chapter 90.76 and Washington Administrative Code Chapter 173-360. Washington defines an "Underground

163

GRR/Section 5-WA-a - Drilling and Well Development | Open Energy  

Open Energy Info (EERE)

GRR/Section 5-WA-a - Drilling and Well Development GRR/Section 5-WA-a - Drilling and Well Development < GRR Jump to: navigation, search GRR-logo.png GEOTHERMAL REGULATORY ROADMAP Roadmap Home Roadmap Help List of Sections Section 5-WA-a - Drilling and Well Development 5-WA-a.pdf Click to View Fullscreen Contact Agencies Washington State Department of Natural Resources Regulations & Policies Geothermal Act 78.60 RCW Geothermal Rules 332-17 WAC Triggers None specified In Washington geothermal drilling and well development are regulated by the Washington State Department of Natural Resources (WSDNR). Geothermal production wells and core holes deeper than 750ft require the developer go through the whole WSDNR permitting process (which requires a public hearing) and require that the developer complete the State Environmental

164

GRR/Section 3-WA-e - State Right of Way Process | Open Energy Information  

Open Energy Info (EERE)

GRR/Section 3-WA-e - State Right of Way Process GRR/Section 3-WA-e - State Right of Way Process < GRR Jump to: navigation, search GRR-logo.png GEOTHERMAL REGULATORY ROADMAP Roadmap Home Roadmap Help List of Sections Section 3-WA-e - State Right of Way Process 3-WA-e - State Right of Way Process.pdf Click to View Fullscreen Contact Agencies Washington State Department of Natural Resources Regulations & Policies RCW 79-36-350 RCW 79-36-520 RCW 79-36-530 Triggers None specified This flowchart illustrates the process for obtaining a right of way over state lands in Washington. The right of way process is overseen by the Washington State Department of Natural Resources (WSDNR). The right of way process is regulated under Revised Code of Washington (RCW) 79-36-350. The developer may apply for an easement, permit or license for a right of

165

GRR/Section 14-WA-d - Section 401 Water Quality Certification | Open Energy  

Open Energy Info (EERE)

GRR/Section 14-WA-d - Section 401 Water Quality Certification GRR/Section 14-WA-d - Section 401 Water Quality Certification < GRR Jump to: navigation, search GRR-logo.png GEOTHERMAL REGULATORY ROADMAP Roadmap Home Roadmap Help List of Sections Section 14-WA-d - Section 401 Water Quality Certification 14-WA-d - 401 Water Quality Certification.pdf Click to View Fullscreen Contact Agencies U S Army Corps of Engineers Washington State Department of Ecology Regulations & Policies Revised Statute of Washington Chapter 90.48 Washington Administrative Code Chapter 173-201A Washington Administrative Code 173-225-030 Triggers None specified Developers requiring a Section 404 Dredge and Fill Permit from the U S Army Corps of Engineers (Corps) are required to obtain a Section 401 Water Quality Certification from the state of Washington. The Washington State

166

GRR/Section 19-WA-d - Water Conservancy Board Transfer or Change of Water  

Open Energy Info (EERE)

19-WA-d - Water Conservancy Board Transfer or Change of Water 19-WA-d - Water Conservancy Board Transfer or Change of Water Right < GRR Jump to: navigation, search GRR-logo.png GEOTHERMAL REGULATORY ROADMAP Roadmap Home Roadmap Help List of Sections Section 19-WA-d - Water Conservancy Board Transfer or Change of Water Right 19-WA-d - Water Conservancy Board Transfer or Change of Water Right.pdf Click to View Fullscreen Contact Agencies Washington State Department of Ecology Regulations & Policies Revised Code of Washington Chapter 90.80 RCW 90.03.380 90.03.390 RCW 90.44.100 Triggers None specified In 1997, the Washington Legislature authorized the creation of water conservancy boards through the enactment of Revised Code of Washington Chapter 90.80 to expedite the administrative process for voluntary water right transfers within individual counties. In counties where a water

167

GRR/Section 19-WA-e - Water Well Notice of Intent for New Well | Open  

Open Energy Info (EERE)

GRR/Section 19-WA-e - Water Well Notice of Intent for New Well GRR/Section 19-WA-e - Water Well Notice of Intent for New Well < GRR Jump to: navigation, search GRR-logo.png GEOTHERMAL REGULATORY ROADMAP Roadmap Home Roadmap Help List of Sections Section 19-WA-e - Water Well Notice of Intent for New Well 19-WA-e - Water Well Notice of Intent for New Well.pdf Click to View Fullscreen Contact Agencies Washington State Department of Ecology Regulations & Policies Revised Code of Washington 18.104.048 Washington Administrative Code 173-160-151 Triggers None specified A developer seeking to use ground water for an activity may need to drill a new well to access the ground water. When a developer needs to drill a new well, the developer must complete the Notice of Intent (NOI) to Drill a Well form and submit the form to the Washington State Department of Ecology

168

GRR/Section 14-WA-b - State NPDES Permitting Process | Open Energy  

Open Energy Info (EERE)

GRR/Section 14-WA-b - State NPDES Permitting Process GRR/Section 14-WA-b - State NPDES Permitting Process < GRR Jump to: navigation, search GRR-logo.png GEOTHERMAL REGULATORY ROADMAP Roadmap Home Roadmap Help List of Sections Section 14-WA-b - State NPDES Permitting Process 14-WA-b - State NPDES Permitting Process.pdf Click to View Fullscreen Contact Agencies Washington State Department of Ecology United States Environmental Protection Agency Regulations & Policies Clean Water Act Chapter 90.48 RCW Chapter 173-216 WAC Triggers None specified Section 402 of the Clean Water Act (CWA) required the Environmental Protection Agency (EPA) to establish the National Pollutant Discharge Elimination System (NPDES) to regulate discharge of pollutants from point sources. In Washington, the EPA has delegated responsibility of NPDES to

169

GRR/Section 4-WA-a - State Exploration Process | Open Energy Information  

Open Energy Info (EERE)

GRR/Section 4-WA-a - State Exploration Process GRR/Section 4-WA-a - State Exploration Process < GRR Jump to: navigation, search GRR-logo.png GEOTHERMAL REGULATORY ROADMAP Roadmap Home Roadmap Help List of Sections Section 4-WA-a - State Exploration Process 4-WA-a State Exploration Process.pdf Click to View Fullscreen Contact Agencies Washington State Department of Natural Resources Regulations & Policies Geothermal Act 78.60 RCW Geothermal Rules 332-17 WAC Triggers None specified Geothermal exploration in Washington requires a Geothermal Exploration Permit from the Washington State Department of Natural Resources (WSDNR) for invasive exploration or drilling. Operations that require an exploration or drilling permit will also require the developer to initiate the State Environmental Policy Act (SEPA). In Washington geothermal resources are regulated under Chapter 78.60 RCW

170

GRR/Section 3-WA-d - State Land Lease | Open Energy Information  

Open Energy Info (EERE)

GRR/Section 3-WA-d - State Land Lease GRR/Section 3-WA-d - State Land Lease < GRR Jump to: navigation, search GRR-logo.png GEOTHERMAL REGULATORY ROADMAP Roadmap Home Roadmap Help List of Sections Section 3-WA-d - State Land Lease 3-WA-d - State Land Lease.pdf Click to View Fullscreen Contact Agencies Washington State Department of Natural Resources Regulations & Policies RCW 79-13-020 RCW 79-13-140 RCW 79-13-150 WAC 332-22-030 WAC 332-22-105 WAC 332-22-110 Triggers None specified This flowchart illustrates the process used to lease state lands in Washington. The Washington State Department of Natural Resources (WSDNR) oversees the land leasing process through the Commissioner of Public Lands ("commissioner"). The WSDNR may lease state lands for purposes it deems advisable, including commercial, industrial, residential, agricultural, and

171

GRR/Section 3-WA-c - Utility Franchise or Permit Process | Open Energy  

Open Energy Info (EERE)

GRR/Section 3-WA-c - Utility Franchise or Permit Process GRR/Section 3-WA-c - Utility Franchise or Permit Process < GRR Jump to: navigation, search GRR-logo.png GEOTHERMAL REGULATORY ROADMAP Roadmap Home Roadmap Help List of Sections Section 3-WA-c - Utility Franchise or Permit Process 3-WA-c - Utility Franchise or Permit Process (1).pdf Click to View Fullscreen Contact Agencies Washington State Department of Transportation Regulations & Policies WAC 468-34-060 WAC 468-34-080 WAC 468-34-110 WAC 468-34-160 WAC 468-34-170 Triggers None specified This flowchart illustrates the process of obtaining a franchise or permit through a state highway right of way in Washington State. A utility permit or franchise is required for occupancy of a highway right of way by utility facilities, including private lines. WAC 468-34-160. The process is

172

GRR/Section 19-WA-b - New Water Right Permit Process | Open Energy  

Open Energy Info (EERE)

GRR/Section 19-WA-b - New Water Right Permit Process GRR/Section 19-WA-b - New Water Right Permit Process < GRR Jump to: navigation, search GRR-logo.png GEOTHERMAL REGULATORY ROADMAP Roadmap Home Roadmap Help List of Sections Section 19-WA-b - New Water Right Permit Process 19-WA-b - New Water Right Permit Process.pdf Click to View Fullscreen Contact Agencies Washington State Department of Ecology Regulations & Policies Revised Code of Washington Chapter 90.03 Revised Code of Washington Chapter 90.44 Triggers None specified Washington uses a prior appropriation system for the distribution of both surface water and ground water rights in which water users receive the right to use water on a "first in time, first in right" basis. Under Washington law, the waters of Washington belong collectively to the public

173

GRR/Section 19-WA-c - Transfer or Change of Water Right | Open Energy  

Open Energy Info (EERE)

9-WA-c - Transfer or Change of Water Right 9-WA-c - Transfer or Change of Water Right < GRR Jump to: navigation, search GRR-logo.png GEOTHERMAL REGULATORY ROADMAP Roadmap Home Roadmap Help List of Sections Section 19-WA-c - Transfer or Change of Water Right 19-WA-c - Transfer or Change of Water Right.pdf Click to View Fullscreen Contact Agencies Washington State Department of Ecology Regulations & Policies Revised Code of Washington 90.03.380 Revised Code of Washington 90.44.100 Revised Code of Washington Chapter 90.80 Triggers None specified Much of Washington's public waters have been accounted for through water right claims, permits, or certificates. As a result, many individuals seeking water rights try to acquire existing water rights already in use or change the use of a current water right they already hold. Certain elements

174

NEURAL NETWORKS FOR DISCRETE TOMOGRAPHY K.J. Batenburg a W.A. Kosters b  

E-Print Network (OSTI)

NEURAL NETWORKS FOR DISCRETE TOMOGRAPHY K.J. Batenburg a W.A. Kosters b a Mathematical Institute of crystalline solids at atomic resolution from electron microscopic images can be considered the ``holy grail

Kosters, Walter

175

DOE Zero Energy Ready Home Case Study: TC Legend Homes, Bellingham, WA  

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

Case study of a DOE Zero Energy Ready home in Bellingham, WA, that achieves HERS 43 without PV or HERS 13 with 3.2 kW of PV.

176

GRR/Section 3-WA-a - State Geothermal Lease | Open Energy Information  

Open Energy Info (EERE)

GRR/Section 3-WA-a - State Geothermal Lease GRR/Section 3-WA-a - State Geothermal Lease < GRR Jump to: navigation, search GRR-logo.png GEOTHERMAL REGULATORY ROADMAP Roadmap Home Roadmap Help List of Sections Section 3-WA-a - State Geothermal Lease 3-WA-a State Geothermal Lease.pdf Click to View Fullscreen Contact Agencies Washington State Department of Natural Resources Regulations & Policies Chapter 79.14 RCW Chapter 344-12 WAC Triggers None specified The State of Washington is still in the process of developing and finalizing the rules and regulations related to geothermal leases on state lands; however, the Washington State Department of Natural Resources (WSDNR) expects the process to be similar to the process for leasing state lands for oil and natural gas development. The rules and regulations for

177

GRR/Section 11-WA-c - Archaeological Resource Discovery Process | Open  

Open Energy Info (EERE)

GRR/Section 11-WA-c - Archaeological Resource Discovery Process GRR/Section 11-WA-c - Archaeological Resource Discovery Process < GRR Jump to: navigation, search GRR-logo.png GEOTHERMAL REGULATORY ROADMAP Roadmap Home Roadmap Help List of Sections Section 11-WA-c - Archaeological Resource Discovery Process 11-WA-c - Archaeological Resource Discovery Process.pdf Click to View Fullscreen Triggers None specified In the state of Washington, cultural resource concerns are integrated as early as possible into the planning for capital projects and are protected if discovered during construction. Washington defines "Cultural resources" as archeological and historical sites and artifacts, and traditional areas or items of religious, ceremonial and social uses to affected tribes. Washington defines an "Archaeological resource" as any

178

GRR/Section 19-WA-a - Water Access and Water Rights Overview | Open Energy  

Open Energy Info (EERE)

9-WA-a - Water Access and Water Rights Overview 9-WA-a - Water Access and Water Rights Overview < GRR Jump to: navigation, search GRR-logo.png GEOTHERMAL REGULATORY ROADMAP Roadmap Home Roadmap Help List of Sections Section 19-WA-a - Water Access and Water Rights Overview 19-WA-a - Water Access and Water Rights Overview.pdf Click to View Fullscreen Contact Agencies Washington State Department of Ecology Regulations & Policies Revised Code of Washington Chapter 90.03 Revised Code of Washington Chapter 90.44 RCW 90.44.050 Triggers None specified Similar to many western states, only a small amount of water is available for appropriation in Washington. As a result, Washington has developed a comprehensive regulatory scheme for the distribution of water rights and use of water in the state. Washington employs a prior appropriation or

179

Summary Verification Measures and Their Interpretation for Ensemble Forecasts  

Science Journals Connector (OSTI)

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

A. Allen Bradley; Stuart S. Schwartz

2011-09-01T23:59:59.000Z

180

Annual Energy Outlook Forecast Evaluation  

Gasoline and Diesel Fuel Update (EIA)

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

Note: This page contains sample records for the topic "forecasting wa id" 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

Aggregate vehicle travel forecasting model  

SciTech Connect

This report describes a model for forecasting total US highway travel by all vehicle types, and its implementation in the form of a personal computer program. The model comprises a short-run, econometrically-based module for forecasting through the year 2000, as well as a structural, scenario-based longer term module for forecasting through 2030. The short-term module is driven primarily by economic variables. It includes a detailed vehicle stock model and permits the estimation of fuel use as well as vehicle travel. The longer-tenn module depends on demographic factors to a greater extent, but also on trends in key parameters such as vehicle load factors, and the dematerialization of GNP. Both passenger and freight vehicle movements are accounted for in both modules. The model has been implemented as a compiled program in the Fox-Pro database management system operating in the Windows environment.

Greene, D.L.; Chin, Shih-Miao; Gibson, R. [Tennessee Univ., Knoxville, TN (United States)

1995-05-01T23:59:59.000Z

182

APS Beamline 6-ID-D  

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

MM-Group Home MM-Group Home MMG Advisory Committees 6-ID-D Home Recent Publications Beamline Info Optics Instrumentation Software User Info Beamline 6-ID-D Beamline 6-ID-D is operated by the Magnetic Materials Group in the X-ray Science Division (XSD) of the Advanced Photon Source. This is a high energy (50 - 130 keV) beamline used for structural studies primarily on single crystal materials. Recent Research Highlights LuFeO Unlikely route to ferroelectricity May 16, 2012 A new type of ferroelectric, LuO2Fe4, has been investigated at the APS by a research team from Julich research center. XAS & XMCD studies on beamline 4-ID-C determined the Fe magnetism and valence, while single crystal x-ray scattering measurements at 6-ID-B & 6-ID-D probed the associated structural and charge ordering.

183

Information compression for remote readable ID tags  

Science Journals Connector (OSTI)

Optical identity (ID) tags have been introduced and described to achieve remote target recognition and identification. Optical ID tags usually contain encrypted signatures to be read out, decrypted and verified. In this paper, new features are introduced so that ID tags can be reliably used for remote detection and verification even if the captured tag is extremely degraded by perspective or optical distortion. Optimization of the ID tag size as well as the number of bits required to display the complex-amplitude information are analysed and discussed. The highest compression of grey levels, which corresponds to binary ID tags, is studied. Decryption and verification results are provided to analyse the possibilities of the newly designed optical ID tags.

Sergi Horrillo; Elisabet Prez-Cabr; Mara S Milln

2010-01-01T23:59:59.000Z

184

Communication of uncertainty in temperature forecasts  

Science Journals Connector (OSTI)

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

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

185

FORECASTING THE ROLE OF RENEWABLES IN HAWAII  

E-Print Network (OSTI)

FORECASTING THE ROLE OF RENEWABLES IN HAWAII Jayant SathayeFORECASTING THE ROLF OF RENEWABLES IN HAWAII J Sa and Henrythe Conservation Role of Renewables November 18, 1980 Page 2

Sathaye, Jayant

2013-01-01T23:59:59.000Z

186

Massachusetts state airport system plan forecasts.  

E-Print Network (OSTI)

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

Mathaisel, Dennis F. X.

187

Antarctic Satellite Meteorology: Applications for Weather Forecasting  

Science Journals Connector (OSTI)

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

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

2003-02-01T23:59:59.000Z

188

Forecasting Water Use in Texas Cities  

E-Print Network (OSTI)

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

Shaw, Douglas T.; Maidment, David R.

189

Energy demand forecasting: industry practices and challenges  

Science Journals Connector (OSTI)

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

Mathieu Sinn

2014-06-01T23:59:59.000Z

190

Consensus Coal Production And Price Forecast For  

E-Print Network (OSTI)

Consensus Coal Production And Price Forecast For West Virginia: 2011 Update Prepared for the West December 2011 © Copyright 2011 WVU Research Corporation #12;#12;W.Va. Consensus Coal Forecast Update 2011 i Table of Contents Executive Summary 1 Recent Developments 3 Consensus Coal Production And Price Forecast

Mohaghegh, Shahab

191

Annual Energy Outlook Forecast Evaluation  

Gasoline and Diesel Fuel Update (EIA)

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

192

Annual Energy Outlook Forecast Evaluation  

Gasoline and Diesel Fuel Update (EIA)

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

193

Load Forecasting of Supermarket Refrigeration  

E-Print Network (OSTI)

energy system. Observed refrigeration load and local ambient temperature from a Danish su- permarket renewable energy, is increasing, therefore a flexible energy system is needed. In the present ThesisLoad Forecasting of Supermarket Refrigeration Lisa Buth Rasmussen Kongens Lyngby 2013 M.Sc.-2013

194

Essays on macroeconomics and forecasting  

E-Print Network (OSTI)

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

Liu, Dandan

2006-10-30T23:59:59.000Z

195

Forecasting-based SKU classification  

Science Journals Connector (OSTI)

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

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

2013-01-01T23:59:59.000Z

196

College of Design ID Interior Design  

E-Print Network (OSTI)

College of Design ID Interior Design KEY: # = new course * = course changed = course dropped University of Kentucky 2013-2014 Undergraduate Bulletin 1 ID 101 INTRODUCTION TO INTERIOR DESIGN. (1) An introduction to the profession of Interior Design: historical perspective, career specializations, and career

MacAdam, Keith

197

2/21/2014 terragreen.teriin.org/popup.php?section_id=1905&category_id=10 http://terragreen.teriin.org/popup.php?section_id=1905&category_id=10 1/2  

E-Print Network (OSTI)

2/21/2014 terragreen.teriin.org/popup.php?section_id=1905&category_id=10 http://terragreen.teriin.org/popup.php in the material because of the durable nickel alloy and smart aerodynamic design. #12;2/21/2014 terragreen.teriin.org/popup.php?section_id=1905&category_id=10 http://terragreen.teriin.org/popup.php?section_id=1905&category_id=10 2/2 "The

Chiao, Jung-Chih

198

APS Beamline 6-ID-B,C  

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

B,C Home B,C Home Recent Publications Beamline Info Optics Instrumentation Software User Info Beamline 6-ID-B,C Beamline 6-ID-B,C is operated by the Magnetic Materials Group in the X-ray Science Division (XSD) of the Advanced Photon Source. Research on this beamline centers on general x-ray scattering studies of materials. The beamline has 2 end-stations: 6-ID-B: Psi -Diffractomter & In-Field Studies 6-ID-C: UHV in-situ growth Recent Research Highlights LSMO pictures Searching for Next-Generation Electronic Materials December 14, 2009 A new class of layered oxide materials discovered thanks to research at the beamline 6-ID-B offers scientists unprecedented opportunities for creating the next generation of electronic devices. Local Contact: Phil Ryan Local Contacts: Philip Ryan (Surface Diffraction) 630.252.0252 ryan@aps.anl.gov

199

Durability of Diesel Engine Particulate Filters (Agreement ID...  

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

Durability of Diesel Engine Particulate Filters (Agreement ID:10461) Durability of Diesel Engine Particulate Filters (Agreement ID:10461) 2013 DOE Hydrogen and Fuel Cells Program...

200

DOE-ID Operations Summary  

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

January 6, 2014 January 6, 2014 DOE-ID Operations Summary For the Period November 01, 2013 through November 30, 2013 EDITOR'S NOTE: The following is a summary of contractor operations at the Idaho National Laboratory, managed by DOE- Idaho Operations Office. It has been compiled in response to a request from stakeholders for more information on health, safety and environmental incidents at DOE facilities in Idaho. It also includes a brief summary of accomplishments at the Site. POC -Danielle Miller, (208) 526-5709. Advanced Mixed Waste Treatment Project (AMWTP) Nothing to Report Notable Accomplishments: Contracting companies supporting EM's cleanup program and the Office of Nuclear Energy at the Idaho site volunteered to be among the first to use a new DOE

Note: This page contains sample records for the topic "forecasting wa id" 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

II.CONTRACT ID CODE  

National Nuclear Security Administration (NNSA)

1 1 II.CONTRACT ID CODE ~AGE 1 of AMENDMENT OF SOLICITATIONIMODIFICATION OF CONTRACT PAGES AC 5. PROJECT NO. (If applicable) 3. EFFECTNE DATE 2. AMENDMENTfMODIFICA TION NO. 4. REQUISITIONIPURCHASE REQ. NO. See Block 16c. NOPR 7. ADMINISTERED BY (If other than Item 6) CODE 05008 6. ISSUED BY CODE 05008 U.S. Department of Energy National Nuclear Security Administration U.S. Department of Energy National Nuclear Security Administration P.O. Box 2050 Oak Ridge, TN 37831 P.O. Box 2050 Oak Ridge, TN 37831 9A. AMENDMENT OF SOLICITATION NO. 8. NAME AND ADDRESS OF CONTRACTOR (No., street, county, state, ZIP Code) Babcock & Wilcox Technical Services Y-12, LLC P.O. Box 2009 MS 8014 9B. DATED (SEE ITEM 11) Oak Ridge, TN 37831-8014 lOA. MODIFICATION OF CONTRACT/ORDER NO.

202

DOE-ID Operations Summary  

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

26, 2013 26, 2013 DOE-ID Operations Summary For the Period July 29, 2013 through August 12, 2013 EDITOR'S NOTE: The following is a summary of contractor operations at the Idaho National Laboratory, managed by DOE- Idaho Operations Office. It has been compiled in response to a request from stakeholders for more information on health, safety and environmental incidents at DOE facilities in Idaho. It also includes a brief summary of accomplishments at the Site. POC -Danielle Miller, (208) 526-5709. Advanced Mixed Waste Treatment Project (AMWTP) July 31, 2013: The Idaho Treatment Group, LLC (ITG), the managing contractor for the Advanced Mixed Waste Treatment Project received a warning letter from the State of Idaho's Department of Environmental quality regarding self- reported RCRA permit violations which

203

DOE-ID Operations Summary  

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

18, 2013 18, 2013 DOE-ID Operations Summary For the Period September 30, 2013 through October 31, 2013 EDITOR'S NOTE: The following is a summary of contractor operations at the Idaho National Laboratory, managed by DOE- Idaho Operations Office. It has been compiled in response to a request from stakeholders for more information on health, safety and environmental incidents at DOE facilities in Idaho. It also includes a brief summary of accomplishments at the Site. POC -Danielle Miller, (208) 526-5709. Advanced Mixed Waste Treatment Project (AMWTP) October 15, 2013: A manager at the Advanced Mixed Waste Treatment Project (AMWTP) determined that the AMWTP Safety Analysis process required review due to an operational trend of fire/combustion events in the Treatment Facility (TF) box lines. Safety analysis for the TF is

204

Forecasting wind speed financial return  

E-Print Network (OSTI)

The prediction of wind speed is very important when dealing with the production of energy through wind turbines. In this paper, we show a new nonparametric model, based on semi-Markov chains, to predict wind speed. Particularly we use an indexed semi-Markov model that has been shown to be able to reproduce accurately the statistical behavior of wind speed. The model is used to forecast, one step ahead, wind speed. In order to check the validity of the model we show, as indicator of goodness, the root mean square error and mean absolute error between real data and predicted ones. We also compare our forecasting results with those of a persistence model. At last, we show an application of the model to predict financial indicators like the Internal Rate of Return, Duration and Convexity.

D'Amico, Guglielmo; Prattico, Flavio

2013-01-01T23:59:59.000Z

205

GRR/Section 15-WA-b - Air Operating Permit | Open Energy Information  

Open Energy Info (EERE)

Page Page Edit with form History Facebook icon Twitter icon » GRR/Section 15-WA-b - Air Operating Permit < GRR Jump to: navigation, search GRR-logo.png GEOTHERMAL REGULATORY ROADMAP Roadmap Home Roadmap Help List of Sections Section 15-WA-b - Air Operating Permit 15-WA-b - Air Operating Permit.pdf Click to View Fullscreen Contact Agencies Washington State Department of Ecology Regulations & Policies WAC 173-401-500 WAC 173-401-800 WAC 173-401-810 WAC 173-401-735 WAC 173-401-610 Triggers None specified This flowchart illustrates the process for obtaining an Air Operating Permit in Washington State. The Washington State Department of Ecology (WSDE) issues Air Operating Permit under WAC 173-401. An Air Operating Permit is required if a facility has the potential to emit

206

GRR/Section 9-WA-a - State Environmental Overview | Open Energy Information  

Open Energy Info (EERE)

Page Page Edit with form History Facebook icon Twitter icon » GRR/Section 9-WA-a - State Environmental Overview < GRR Jump to: navigation, search GRR-logo.png GEOTHERMAL REGULATORY ROADMAP Roadmap Home Roadmap Help List of Sections Section 9-WA-a - State Environmental Overview 9-WA-a - State Environmental Overview.pdf Click to View Fullscreen Triggers None specified The Washington State Environmental Policy Act (SEPA), chapter 43.21 RCW, requires all governmental agencies to consider the environmental impacts of a proposal before making decisions. Washington uses an Environmental Checklist and Environmental Review (ER) to provide information to help government agencies identify impacts from their proposals and determine whether an Environmental Impact Statement (EIS) is necessary.

207

MEMORANDUM : APPROVAL TO MODIFY ADVANCE WAIVER OF PATENT RIGHTS W(A)  

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

: APPROVAL TO MODIFY ADVANCE WAIVER OF PATENT RIGHTS W(A) : APPROVAL TO MODIFY ADVANCE WAIVER OF PATENT RIGHTS W(A) 2009-047 GRANTED FOR US SOLAR HOLDINGS LLC UNDER AGREEMENT NO. DE-FC36-08G018 155 US Solar Holdings LLC ("US Solar") has requested that the Department of Energy ("DOE") modify or clarify the cost share requirements set forth in the statement of considerations for the granted advance patent waiver W(A) 2009-047. Specifically, the statement of considerations, as originally granted, states the following: The total cost of the award is approximately $4 million with the Petitioner providing about 50% cost sharing. This waiver is contingent upon the Petitioner maintaining, in aggregate, the above cost sharing percentage over the course of the agreement. Rather than just provide an aggregate cost share requirement of 50% for the agreement, US Solar

208

GRR/Section 7-WA-a - Energy Facility Siting Process | Open Energy  

Open Energy Info (EERE)

form form View source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit with form History Facebook icon Twitter icon » GRR/Section 7-WA-a - Energy Facility Siting Process < GRR Jump to: navigation, search GRR-logo.png GEOTHERMAL REGULATORY ROADMAP Roadmap Home Roadmap Help List of Sections Section 7-WA-a - Energy Facility Siting Process 7-WA-a - Energy Facility Siting Process (1).pdf Click to View Fullscreen Contact Agencies Washington State Energy Facility Site Evaluation Council Regulations & Policies RCW 80.50.60(1) WAC 463-60 RCW 80.50.090(2) WAC 463-30-270 WAC 463-30-320 Triggers None specified Under RCW 80.50.60(1) a developer may not begin construction of a new energy facility site until they obtain Energy Facility Siting certification

209

GRR/Section 11-WA-b - Human Remains Process | Open Energy Information  

Open Energy Info (EERE)

Page Page Edit with form History Facebook icon Twitter icon » GRR/Section 11-WA-b - Human Remains Process < GRR Jump to: navigation, search GRR-logo.png GEOTHERMAL REGULATORY ROADMAP Roadmap Home Roadmap Help List of Sections Section 11-WA-b - Human Remains Process 11-WA-b - Human Remains Process (1).pdf Click to View Fullscreen Triggers None specified This flowchart illustrates the necessary procedure when a developer discovers human remains on a project site. In Washington, every person has the duty to notify the coroner upon the discovery of any human remains in the most expeditious manner possible. The Washington Department of Archaeology and Historic Preservation (DAHP) handles the disposition of non-forensic remains, while the county coroner handles the disposition of

210

EA-1949: Admiralty Inlet Pilot Tidal Project, Puget Sound, WA | Department  

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

49: Admiralty Inlet Pilot Tidal Project, Puget Sound, WA 49: Admiralty Inlet Pilot Tidal Project, Puget Sound, WA EA-1949: Admiralty Inlet Pilot Tidal Project, Puget Sound, WA SUMMARY This EA analyzes the potential environmental effects of a proposal by the Public Utility District No. 1 of Snowhomish County, Washington to construct and operate the Admiralty Inlet Tidal Project. The proposed 680-kilowatt project would be located on the east side of Admiralty Inlet in Puget Sound, Washington, about 1 kilometer west of Whidbey Island, entirely within Island County, Washington. The Federal Energy Regulatory Commission (FERC) is the lead agency. DOE is a cooperating agency. PUBLIC COMMENT OPPORTUNITIES None available at this time. DOCUMENTS AVAILABLE FOR DOWNLOAD August 9, 2013 EA-1949: FERC Notice of Availability Errata Sheet

211

Weather Forecast Data an Important Input into Building Management Systems  

E-Print Network (OSTI)

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

Poulin, L.

2013-01-01T23:59:59.000Z

212

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

Science Journals Connector (OSTI)

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

Jianguo Liu; Zhenghui Xie

2014-04-01T23:59:59.000Z

213

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

Science Journals Connector (OSTI)

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

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

2010-01-01T23:59:59.000Z

214

EIA - Forecasts and Analysis of Energy Data  

Gasoline and Diesel Fuel Update (EIA)

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

215

Funding Opportunity Announcement for Wind Forecasting Improvement...  

Office of Environmental Management (EM)

to improved forecasts, system operators and industry professionals can ensure that wind turbines will operate at their maximum potential. Data collected during this field...

216

Upcoming Funding Opportunity for Wind Forecasting Improvement...  

Office of Environmental Management (EM)

to improved forecasts, system operators and industry professionals can ensure that wind turbines will operate at their maximum potential. Data collected during this field...

217

Huge market forecast for linear LDPE  

Science Journals Connector (OSTI)

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

1980-08-25T23:59:59.000Z

218

NOAA GREAT LAKES COASTAL FORECASTING SYSTEM Forecasts (up to 5 days in the future)  

E-Print Network (OSTI)

conditions for up to 5 days in the future. These forecasts are run twice daily, and you can step through are generated every 6 hours and you can step backward in hourly increments to view conditions over the previousNOAA GREAT LAKES COASTAL FORECASTING SYSTEM Forecasts (up to 5 days in the future) and Nowcasts

219

1-ID: Sector 1, Insertion Device Beamline  

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

1-ID beamline schematic 1-ID beamline schematic ID on-axis brilliance values 1-ID - Sector 1, Insertion Device Beamline Responsible Scientists Jon Almer, phone: (630) 252-1049, e-mail: almer@aps.anl.gov Sarvjit Shastri, phone: (630) 252-0129, e-mail: shastri@aps.anl.gov John Okasinski, phone: (630) 252-0162, e-mail: okasinski@aps.anl.gov Peter Kenesei, phone: (630) 252-0133, e-mail: kenesei@aps.anl.gov Scientific Programs Coupled high-energy SAXS/WAXS studies (HE-SAXS/WAXS) High-energy diffraction microscopy (HEDM) Single-grain studies Stress/strain/texture studies Pair-distribution function (PDF) measurements High-energy fluorescence Source Characteristics Upstream insertion device: APS Undulator A No. of Poles 72 Undulator Period 3.3 cm Device Length 2.4 m Minimum Gap 11 mm Downstream insertion device

220

Property:WFSPTurbineID | Open Energy Information  

Open Energy Info (EERE)

WFSPTurbineID WFSPTurbineID Jump to: navigation, search Property Name WFSPTurbineID Property Type Number This is a property of type Number. Pages using the property "WFSPTurbineID" Showing 25 pages using this property. (previous 25) (next 25) A Alleghany High School Wind Project + 110,608 + Appanoose Elementary School Wind Project + 108,442 + Auburn-Washburn Wind Project + 105,237 + Avery County High School Wind Project + 110,607 + B Bancroft-Rosalie Public Schools Wind Project + 108,812 + Bloomfield Public Schools Wind Project + 110,699 + Burlington High School Wind Project + 107,678 + C CAES Wind Project + 105,329 + Cedar Rapids Wind Project + 105,272 + Cherry Valley Elementary School Wind Project + 120,342 + Concordia High School Wind Project + 108,482 +

Note: This page contains sample records for the topic "forecasting wa id" 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

Winter Study Rebate Form 2012 Date______________________________ ID #________________________________  

E-Print Network (OSTI)

Winter Study Rebate Form 2012 Date______________________________ ID to receive your rebate? Credit term account______ EPH Dollars_______ WINTER STUDY REBATES ARE GIVEN 10 consecutive calendar days are entitled to a rebate Rebates will be calculated on a per day basis

Aalberts, Daniel P.

222

Winter Study Rebate Form 2013 Date______________________________ ID #________________________________  

E-Print Network (OSTI)

Winter Study Rebate Form 2013 Date______________________________ ID to receive your rebate? Credit term account______ EPH Dollars_______ WINTER STUDY REBATES ARE GIVEN 10 consecutive calendar days are entitled to a rebate Rebates will be calculated on a per day basis

Aalberts, Daniel P.

223

Id-1 and Id-2 genes and products as markers of epithelial cancer  

DOE Patents (OSTI)

A method for detection and prognosis of breast cancer and other types of cancer. The method comprises detecting expression, if any, for both an Id-1 and an Id-2 genes, or the ratio thereof, of gene products in samples of breast tissue obtained from a patient. When expressed, Id-1 gene is a prognostic indicator that breast cancer cells are invasive and metastatic, whereas Id-2 gene is a prognostic indicator that breast cancer cells are localized and noninvasive in the breast tissue.

Desprez, Pierre-Yves (El Cerrito, CA); Campisi, Judith (Berkeley, CA)

2011-10-04T23:59:59.000Z

224

Id-1 and Id-2 genes and products as markers of epithelial cancer  

DOE Patents (OSTI)

A method for detection and prognosis of breast cancer and other types of cancer. The method comprises detecting expression, if any, for both an Id-1 and an Id-2 genes, or the ratio thereof, of gene products in samples of breast tissue obtained from a patient. When expressed, Id-1 gene is a prognostic indicator that breast cancer cells are invasive and metastatic, whereas Id-2 gene is a prognostic indicator that breast cancer cells are localized and noninvasive in the breast tissue.

Desprez, Pierre-Yves (El Cerrito, CA); Campisi, Judith (Berkeley, CA)

2008-09-30T23:59:59.000Z

225

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

Gasoline and Diesel Fuel Update (EIA)

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

226

GRR/Section 18-WA-b - Dangerous Waste Permit | Open Energy Information  

Open Energy Info (EERE)

GRR/Section 18-WA-b - Dangerous Waste Permit GRR/Section 18-WA-b - Dangerous Waste Permit < GRR Jump to: navigation, search GRR-logo.png GEOTHERMAL REGULATORY ROADMAP Roadmap Home Roadmap Help List of Sections Section 18-WA-b - Dangerous Waste Permit 18-WA-b - Dangerous Waste Permit.pdf Click to View Fullscreen Contact Agencies Washington State Department of Ecology Regulations & Policies WAC 173-303-020 WAC 173-303-060 WAC 173-303-070 WAC 173-303-071 WAC 173-303-072 WAC 173-303-081 WAC 173-303-082 WAC 173-303-090 WAC 173-303-100 WAC 173-303-110 WAC 173-303-140 WAC 173-303-220 WAC 173-303-281 WAC 173-303-282 WAC 173-303-803 WAC 173-303-845 Triggers None specified The Washington State Department of Ecology (WSDE) oversees the permitting process for dangerous and solid waste. In Washington, a developer must obtain a permit if they handle dangerous waste and solid waste and are

227

DOE Zero Energy Ready Home Case Study: Clifton View Homes, Whidbey Island, WA  

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

Case study of a DOE Zero Energy Ready home on Whidbey Island, WA, that scores HERS 37 without PV or HERS -13 with 10 kW PV, enough to power the home and an electric car. The two-story custom home...

228

Comment on the future of the Bonneville Power Administration Jim G. Likes, Thurston County, WA  

E-Print Network (OSTI)

Comment on the future of the Bonneville Power Administration Jim G. Likes, Thurston County, WA Bonneville is a regional agency that markets federal hydropower and augments its power supply with market, everyday citizens, to pay illegally inflated power costs. Because of this, Bonneville should have the legal

229

Optimal combined wind power forecasts using exogeneous variables  

E-Print Network (OSTI)

Optimal combined wind power forecasts using exogeneous variables Fannar ¨Orn Thordarson Kongens of the thesis is combined wind power forecasts using informations from meteorological forecasts. Lyngby, January

230

Ensemble typhoon quantitative precipitation forecasts model in Taiwan  

Science Journals Connector (OSTI)

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

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

231

Application of a modified denitrifying bacteria method for analyzing groundwater and vadose zone pore water nitrate at the Hanford Site, WA, USA.  

E-Print Network (OSTI)

the Hanford Site, WA, USA. Woods, Katharine N. ; Singleton,reside at DOE sites across the USA. Nitrate concentrations >

Woods, Katharine N.; Singleton, Michael J.; Conrad, Mark

2003-01-01T23:59:59.000Z

232

Forecast of geothermal drilling activity  

SciTech Connect

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

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

1981-10-01T23:59:59.000Z

233

New Concepts in Wind Power Forecasting Models  

E-Print Network (OSTI)

New Concepts in Wind Power Forecasting Models Vladimiro Miranda, Ricardo Bessa, João Gama, Guenter to the training of mappers such as neural networks to perform wind power prediction as a function of wind for more accurate short term wind power forecasting models has led to solid and impressive development

Kemner, Ken

234

QUIKSCAT MEASUREMENTS AND ECMWF WIND FORECASTS  

E-Print Network (OSTI)

. (2004) this forecast error was encountered when assimilating satellite measurements of zonal wind speeds between satellite measurements and meteorological forecasts of near-surface ocean winds. This type of covariance enters in assimilation techniques such as Kalman filtering. In all, six residual fields

Malmberg, Anders

235

QUIKSCAT MEASUREMENTS AND ECMWF WIND FORECASTS  

E-Print Network (OSTI)

. (2004) this forecast error was encountered when assimilating satellite measurements of zonal wind speeds between satellite measurements and meteorological forecasts of near­surface ocean winds. This type of covariance enters in assimilation techniques such as Kalman filtering. In all, six residual fields

Malmberg, Anders

236

PROBLEMS OF FORECAST1 Dmitry KUCHARAVY  

E-Print Network (OSTI)

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

Paris-Sud XI, Université de

237

UHERO FORECAST PROJECT DECEMBER 5, 2014  

E-Print Network (OSTI)

deficits. After solid 3% growth this year, real GDP growth will recede a bit for the next two years. New household spending. Real GDP will firm above 3% in 2015. · The pace of growth in China has continuedUHERO FORECAST PROJECT DECEMBER 5, 2014 Asia-Pacific Forecast: Press Version: Embargoed Until 2

238

Amending Numerical Weather Prediction forecasts using GPS  

E-Print Network (OSTI)

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

Stoffelen, Ad

239

A Forecasting Support System Based on Exponential Smoothing  

Science Journals Connector (OSTI)

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

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

2010-01-01T23:59:59.000Z

240

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

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

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

Note: This page contains sample records for the topic "forecasting wa id" 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

Improved Prediction of Runway Usage for Noise Forecast :.  

E-Print Network (OSTI)

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

Dhanasekaran, D.

2014-01-01T23:59:59.000Z

242

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

Energy Savers (EERE)

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

243

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

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

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

244

1993 Pacific Northwest Loads and Resources Study, Pacific Northwest Economic and Electricity Use Forecast, Technical Appendix: Volume 1.  

SciTech Connect

This publication documents the load forecast scenarios and assumptions used to prepare BPA`s Whitebook. It is divided into: intoduction, summary of 1993 Whitebook electricity demand forecast, conservation in the load forecast, projection of medium case electricity sales and underlying drivers, residential sector forecast, commercial sector forecast, industrial sector forecast, non-DSI industrial forecast, direct service industry forecast, and irrigation forecast. Four appendices are included: long-term forecasts, LTOUT forecast, rates and fuel price forecasts, and forecast ranges-calculations.

United States. Bonneville Power Administration.

1994-02-01T23:59:59.000Z

245

APS Beamline 6-ID-D  

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

D Home D Home Recent Publications Beamline Info Optics Instrumentation Software User Info Beamline 6-ID-D Beamline 6-ID-D is operated by the Magnetic Materials Group in the X-ray Science Division (XSD) of the Advanced Photon Source. This is a high energy (50 - 130 keV) beamline used for structural studies primarily on single crystal materials. Recent Research Highlights A New Family of Quasicrystals A New Family of Quasicrystals June 24, 2013 Scientists from the U.S. Department of Energy's Ames Laboratory and Iowa State University have used the high energy x-rays available on beamline 6-ID-D, to confirm the structure of the only known magnetic rare earth icosahedral binary quasicrystals. Contacts: Alan Goldman & Paul Canfield - Iowa State Univ. & Ames Lab Local Contacts:

246

Requesting a Digital ID | Department of Energy  

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

Requesting a Digital ID Requesting a Digital ID Requesting a Digital ID Step One - Registering with MIS To request a DOE Digital Identity you must first register in DOE's Management Information System (MIS) by going to https://mis.doe.gov, selecting "Requesting Access" and following the onscreen instructions. Note: DOE Federal employees are already registered and do not need to complete this step, they may skip to step 2. During the registration process you will be required to search for, and select, a DOE sponsor. Your DOE sponsor is the DOE federal employee that is certifying that you have a recognized relationship with the Department and have a valid need for a DOE Digital Identity. For contractors this person is often your Contract Task Manager, Contracting Officer's Representatives

247

Anemometer Data (Wind Speed, Direction) for Quinault #3, WA (2004 - 2005) |  

Open Energy Info (EERE)

Quinault #3, WA (2004 - 2005) Quinault #3, WA (2004 - 2005) Dataset Summary Description Wind data collected from Quinault Indian Reservation in Washington from an anemometer as part of the Native American anemometer loan program. Monthly mean wind speed is available for 2004 through 2005, as is wind direction and turbulence data. Data is reported from a height of 20 m. The data was originally made available by Wind Powering America, a DOE Office of Energy Efficiency & Renewable Energy (EERE) program. A dynamic map displaying all available data from DOE anemometer loan programs is available http://www.windpoweringamerica.gov/anemometerloans/projects.asp. Source EERE Date Released December 02nd, 2010 (4 years ago) Date Updated December 02nd, 2010 (4 years ago) Keywords wind

248

EA-1855: Creston-Bell Rebuild Project, Spokane and Lincoln Counties, WA |  

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

855: Creston-Bell Rebuild Project, Spokane and Lincoln 855: Creston-Bell Rebuild Project, Spokane and Lincoln Counties, WA EA-1855: Creston-Bell Rebuild Project, Spokane and Lincoln Counties, WA Summary This EA (also known as DOE/EA-4406 or DOE/BP-4406) evaluates the potential environmental impacts from rebuilding the Creston-Bell No. 1 115-kV transmission line, including the replacement of wood poles and associated structural components and conductor and access road improvements. The 54-mile long, wood pole line extends from the Bonneville Power Administration (BPA) Creston substation to the BPA Bell substation near Spokane in Lincoln and Spokane Counties, Washington. Additional information about this project is available on the BPA website. Public Comment Opportunities None available at this time. Documents Available for Download

249

1993 Solid Waste Reference Forecast Summary  

SciTech Connect

This report, which updates WHC-EP-0567, 1992 Solid Waste Reference Forecast Summary, (WHC 1992) forecasts the volumes of solid wastes to be generated or received at the US Department of Energy Hanford Site during the 30-year period from FY 1993 through FY 2022. The data used in this document were collected from Westinghouse Hanford Company forecasts as well as from surveys of waste generators at other US Department of Energy sites who are now shipping or plan to ship solid wastes to the Hanford Site for disposal. These wastes include low-level and low-level mixed waste, transuranic and transuranic mixed waste, and nonradioactive hazardous waste.

Valero, O.J.; Blackburn, C.L. [Westinghouse Hanford Co., Richland, WA (United States); Kaae, P.S.; Armacost, L.L.; Garrett, S.M.K. [Pacific Northwest Lab., Richland, WA (United States)

1993-08-01T23:59:59.000Z

250

Metrics for Evaluating the Accuracy of Solar Power Forecasting (Presentation)  

SciTech Connect

This presentation proposes a suite of metrics for evaluating the performance of solar power forecasting.

Zhang, J.; Hodge, B.; Florita, A.; Lu, S.; Hamann, H.; Banunarayanan, V.

2013-10-01T23:59:59.000Z

251

PSO (FU 2101) Ensemble-forecasts for wind power  

E-Print Network (OSTI)

PSO (FU 2101) Ensemble-forecasts for wind power Analysis of the Results of an On-line Wind Power Ensemble- forecasts for wind power (FU2101) a demo-application producing quantile forecasts of wind power correct) quantile forecasts of the wind power production are generated by the application. However

252

Forecasting Uncertainty Related to Ramps of Wind Power Production  

E-Print Network (OSTI)

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

Boyer, Edmond

253

The effect of multinationality on management earnings forecasts  

E-Print Network (OSTI)

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

Runyan, Bruce Wayne

2005-08-29T23:59:59.000Z

254

Distribution of Wind Power Forecasting Errors from Operational Systems (Presentation)  

SciTech Connect

This presentation offers new data and statistical analysis of wind power forecasting errors in operational systems.

Hodge, B. M.; Ela, E.; Milligan, M.

2011-10-01T23:59:59.000Z

255

DOE Zero Energy Ready Home Case Study, Clifton View Homes, Coupeville, WA, Systems Home  

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

Case-study of a DOE Zero Energy Ready Home on Whidbey Island, WA, that scored HERS 45 without PV. This 2,908 ft2 custom/system home has a SIP roof and walls, R-20 rigid foam under slab, triple-pane windows, ground source heat pump for radiant floor heat, and a unique balanced ventilation system using separate exhaust fans to bring air into and out of home.

256

DOE Zero Energy Ready Home Case Study TC Legend, Seattle, WA, Custom Home  

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

Case study of a DOE Zero Energy Ready Home in Seattle, WA, that scored HERS 37 without PV, HERS -1 with PV. This 1,915 ft2 custom home has SIP walls and roof, R-20 XPS under the slab, triple-pane windows, an air to water heat pump for radiant heat, and balanced ventilation with timer controlled fans to bring in and exhaust air.

257

DOE Zero Energy Ready Home Case Study, Dwell Development, Seattle, WA, Systems Home  

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

Case study of a DOE Zero Energy Ready Home in Seattle, WA, that scored HERS 34 without PV. This 2,000 ft2 system home has R-45 double-stud walls, an unvented flat roof with 2 inches of spray foam plus 18 inches blown cellulose, R-42 XPS under slab, triple-pane windows, and a ductless mini-split heat pump.

258

Advanced Numerical Weather Prediction Techniques for Solar Irradiance Forecasting : : Statistical, Data-Assimilation, and Ensemble Forecasting  

E-Print Network (OSTI)

J.B. , 2004: Probabilistic wind power forecasts using localforecast intervals for wind power output using NWP-predictedsources such as wind and solar power. Integration of this

Mathiesen, Patrick James

2013-01-01T23:59:59.000Z

259

Advanced Numerical Weather Prediction Techniques for Solar Irradiance Forecasting : : Statistical, Data-Assimilation, and Ensemble Forecasting  

E-Print Network (OSTI)

United States California Solar Initiative Coastally Trappedparticipants in the California Solar Initiative (CSI)on location. In California, solar irradiance forecasts near

Mathiesen, Patrick James

2013-01-01T23:59:59.000Z

260

Annual Energy Outlook Forecast Evaluation - Tables  

Gasoline and Diesel Fuel Update (EIA)

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

Note: This page contains sample records for the topic "forecasting wa id" 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

Annual Energy Outlook Forecast Evaluation - Tables  

Gasoline and Diesel Fuel Update (EIA)

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

262

Annual Energy Outlook Forecast Evaluation 2004  

Gasoline and Diesel Fuel Update (EIA)

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

263

Annual Energy Outlook 2001 - Forecast Comparisons  

Gasoline and Diesel Fuel Update (EIA)

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

264

energy data + forecasting | OpenEI Community  

Open Energy Info (EERE)

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

265

Wind Speed Forecasting for Power System Operation  

E-Print Network (OSTI)

In order to support large-scale integration of wind power into current electric energy system, accurate wind speed forecasting is essential, because the high variation and limited predictability of wind pose profound challenges to the power system...

Zhu, Xinxin

2013-07-22T23:59:59.000Z

266

Evaluation of hierarchical forecasting for substitutable products  

Science Journals Connector (OSTI)

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

S. Viswanathan; Handik Widiarta; R. Piplani

2008-01-01T23:59:59.000Z

267

Testing Competing High-Resolution Precipitation Forecasts  

E-Print Network (OSTI)

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

Gilleland, Eric

268

Forecasting Capital Expenditure with Plan Data  

Science Journals Connector (OSTI)

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

W. Gerstenberger

1977-01-01T23:59:59.000Z

269

Forecasting Agriculturally Driven Global Environmental Change  

Science Journals Connector (OSTI)

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

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

2001-04-13T23:59:59.000Z

270

Medium- and Long-Range Forecasting  

Science Journals Connector (OSTI)

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

A. James Wagner

1989-09-01T23:59:59.000Z

271

Updated Satellite Technique to Forecast Heavy Snow  

Science Journals Connector (OSTI)

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

Edward C. Johnston

1995-06-01T23:59:59.000Z

272

Annual Energy Outlook Forecast Evaluation 2005  

Gasoline and Diesel Fuel Update (EIA)

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

273

Forecasting energy markets using support vector machines  

Science Journals Connector (OSTI)

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

Theophilos Papadimitriou; Periklis Gogas; Efthimios Stathakis

2014-01-01T23:59:59.000Z

274

Applications of IDS: Mead's Challenge (What is  

E-Print Network (OSTI)

· Orientation · Adaptability · Dynamic motor skill acquisition #12;Derek Harter IJCNN 2005, IDS Workshop Aug 5 Connectionism / NN · Better understand biological basis of computation Penrose Quantum Computation · Actual quantum computation at cell level Mead (IJCNN 2005 Plenary) · Structure supports exponential scaling

Andras, Peter

275

11. CONTRACT ID CODE IPAG~ OF PAGES  

E-Print Network (OSTI)

11. CONTRACT ID CODE IPAG~ OF PAGES AMENDMENT OF SOLICITATION/MODIFICATION OF CONTRACT I 2 2. MODIFICATION OF CONTRACT/ ORDER NO. DUNS # 032987476 DE-AC05-76RL01830l8l 10B. DATED (SEE ITEM 13) CODE ONLY TO MODIFICATIONS OF CONTRACTS/ORDERS. IT MODIFIES THE CONTRACT/ORDER NO. AS SET FORTH IN ITEM 14

276

Mercury Chamber NF-IDS Meeting  

E-Print Network (OSTI)

-Battelle for the U.S. Department of Energy Mercury Chamber Update Oct 2011 Starting Point: Coil and Shielding Concept IDS120H #12;3 Managed by UT-Battelle for the U.S. Department of Energy Mercury Chamber Update Oct 2011 · Penetrations (ports) into chamber ­ Nozzle ­ Hg drains (overflow and maintenance) ­ Vents (in and out) ­ Beam

McDonald, Kirk

277

ID3, SEQUENTIAL BAYES, NAIVE BAYES AND BAYESIAN NEURAL NETWORKS  

E-Print Network (OSTI)

to ID3. ID3 learning algorithm (Quinlan 1979) and its successors ACLS (Paterson & Niblett 1982), C4#cient in many learning tasks. It is shown how Sequential Bayes can be transformed into ID3 by replacing of network's execution (Kononenko 1989) enables the us­ age of a neural network as an expert system shell

Kononenko, Igor

278

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

Science Journals Connector (OSTI)

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

S. Viswanathan; Handik Widiarta; Rajesh Piplani

2008-07-01T23:59:59.000Z

279

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

SciTech Connect

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

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

2014-05-01T23:59:59.000Z

280

Property:DSIRE/Id | Open Energy Information  

Open Energy Info (EERE)

Property Property Edit with form History Facebook icon Twitter icon » Property:DSIRE/Id Jump to: navigation, search This is a property of type String. DSIRE Incentive Code. Pages using the property "DSIRE/Id" Showing 25 pages using this property. (previous 25) (next 25) 2 2003 Climate Change Fuel Cell Buy-Down Program (Federal) + US04F + 3 30% Business Tax Credit for Solar (Vermont) + VT31F + A AEP (Central and North) - CitySmart Program (Texas) + TX141F + AEP (Central and North) - Residential Energy Efficiency Programs (Texas) + TX116F + AEP (Central and SWEPCO) - Coolsaver A/C Tune Up (Texas) + TX119F + AEP (Central, North and SWEPCO) - Commercial Solutions Program (Texas) + TX141F + AEP (SWEPCO) - Residential Energy Efficiency Programs (Texas) + TX138F +

Note: This page contains sample records for the topic "forecasting wa id" 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

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

E-Print Network (OSTI)

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

Mosier, Richard Matthew

2011-02-22T23:59:59.000Z

282

Annual Energy Outlook Forecast Evaluation - Tables  

Gasoline and Diesel Fuel Update (EIA)

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

283

12-32021E2_Forecast  

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

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

284

Building Energy Software Tools Directory: Degree Day Forecasts  

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

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

285

Building Energy Software Tools Directory: Energy Usage Forecasts  

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

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

286

Forecasting Market Demand for New Telecommunications Services: An Introduction  

E-Print Network (OSTI)

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

McBurney, Peter

287

River Forecast Application for Water Management: Oil and Water?  

Science Journals Connector (OSTI)

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

Kevin Werner; Kristen Averyt; Gigi Owen

2013-07-01T23:59:59.000Z

288

Data Mining in Load Forecasting of Power System  

Science Journals Connector (OSTI)

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

Guang Yu Zhao; Yan Yan; Chun Zhou Zhao

2013-01-01T23:59:59.000Z

289

Operational Rainfall and Flow Forecasting for the Panama Canal Watershed  

Science Journals Connector (OSTI)

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

Konstantine P. Georgakakos; Jason A. Sperfslage

2005-01-01T23:59:59.000Z

290

Power System Load Forecasting Based on EEMD and ANN  

Science Journals Connector (OSTI)

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

Wanlu Sun; Zhigang Liu; Wenfan Li

2011-01-01T23:59:59.000Z

291

U.S. Regional Demand Forecasts Using NEMS and GIS  

E-Print Network (OSTI)

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

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

2005-01-01T23:59:59.000Z

292

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

Energy Savers (EERE)

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

293

The Energy Demand Forecasting System of the National Energy Board  

Science Journals Connector (OSTI)

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

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

1980-01-01T23:59:59.000Z

294

Forecasting Energy Demand Using Fuzzy Seasonal Time Series  

Science Journals Connector (OSTI)

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

?Irem Ual Sar?; Basar ztaysi

2012-01-01T23:59:59.000Z

295

File:06-WA-b - Washington Construction Storm Water Permit.pdf | Open Energy  

Open Energy Info (EERE)

File File Edit History Facebook icon Twitter icon » File:06-WA-b - Washington Construction Storm Water Permit.pdf Jump to: navigation, search File File history File usage Metadata File:06-WA-b - Washington Construction Storm Water Permit.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: 60 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 15:28, 6 December 2013 Thumbnail for version as of 15:28, 6 December 2013 1,275 × 1,650, 2 pages (60 KB) Alevine (Talk | contribs) 15:25, 6 December 2013 Thumbnail for version as of 15:25, 6 December 2013 1,275 × 1,650, 2 pages (60 KB) Alevine (Talk | contribs)

296

File:EIA-Eastern-OR-WA-BOE.pdf | Open Energy Information  

Open Energy Info (EERE)

Eastern-OR-WA-BOE.pdf Eastern-OR-WA-BOE.pdf Jump to: navigation, search File File history File usage Eastern Oregon and Washington By 2001 BOE Reserve Class Size of this preview: 776 × 600 pixels. Full resolution ‎(1,650 × 1,275 pixels, file size: 460 KB, MIME type: application/pdf) Description Eastern Oregon and Washington By 2001 BOE Reserve Class Sources Energy Information Administration Authors Samuel H. Limerick; Lucy Luo; Gary Long; David F. Morehouse; Jack Perrin; Robert F. King Related Technologies Oil, Natural Gas Creation Date 2005-09-01 Extent Regional Countries United States UN Region Northern America States Oregon, Washington File history Click on a date/time to view the file as it appeared at that time. Date/Time Thumbnail Dimensions User Comment current 18:00, 20 December 2010 Thumbnail for version as of 18:00, 20 December 2010 1,650 × 1,275 (460 KB) MapBot (Talk | contribs) Automated bot upload

297

Wind power forecasting in U.S. electricity markets.  

SciTech Connect

Wind power forecasting is becoming an important tool in electricity markets, but the use of these forecasts in market operations and among market participants is still at an early stage. The authors discuss the current use of wind power forecasting in U.S. ISO/RTO markets, and offer recommendations for how to make efficient use of the information in state-of-the-art forecasts.

Botterud, A.; Wang, J.; Miranda, V.; Bessa, R. J.; Decision and Information Sciences; INESC Porto

2010-04-01T23:59:59.000Z

298

Wind power forecasting in U.S. Electricity markets  

SciTech Connect

Wind power forecasting is becoming an important tool in electricity markets, but the use of these forecasts in market operations and among market participants is still at an early stage. The authors discuss the current use of wind power forecasting in U.S. ISO/RTO markets, and offer recommendations for how to make efficient use of the information in state-of-the-art forecasts. (author)

Botterud, Audun; Wang, Jianhui; Miranda, Vladimiro; Bessa, Ricardo J.

2010-04-15T23:59:59.000Z

299

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

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

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

300

Application of a Combination Forecasting Model in Logistics Parks' Demand  

Science Journals Connector (OSTI)

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

Chen Qin; Qi Ming

2010-05-01T23:59:59.000Z

Note: This page contains sample records for the topic "forecasting wa id" 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

A BAYESIAN MODEL COMMITTEE APPROACH TO FORECASTING GLOBAL SOLAR RADIATION  

E-Print Network (OSTI)

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

Boyer, Edmond

302

PSO (FU 2101) Ensemble-forecasts for wind power  

E-Print Network (OSTI)

PSO (FU 2101) Ensemble-forecasts for wind power Wind Power Ensemble Forecasting Using Wind Speed the problems of (i) transforming the meteorological ensembles to wind power ensembles and, (ii) correcting) data. However, quite often the actual wind power production is outside the range of ensemble forecast

303

Accuracy of near real time updates in wind power forecasting  

E-Print Network (OSTI)

· advantage: no NWP data necessary ­ very actual shortest term forecasts possible · wind power inputAccuracy of near real time updates in wind power forecasting with regard to different weather October 2007 #12;EMS/ECAM 2007 ­ Nadja Saleck Outline · Study site · Wind power forecasting - method

Heinemann, Detlev

304

CSUF ECONOMIC OUTLOOK AND FORECASTS MIDYEAR UPDATE -APRIL 2014  

E-Print Network (OSTI)

CSUF ECONOMIC OUTLOOK AND FORECASTS MIDYEAR UPDATE - APRIL 2014 Anil Puri, Ph.D. -- Director, Center for Economic Analysis and Forecasting -- Dean, Mihaylo College of Business and Economics Mira Farka, Ph.D. -- Co-Director, Center for Economic Analysis and Forecasting -- Associate Professor

de Lijser, Peter

305

Forecasting wave height probabilities with numerical weather prediction models  

E-Print Network (OSTI)

Forecasting wave height probabilities with numerical weather prediction models Mark S. Roulstona; Numerical weather prediction 1. Introduction Wave forecasting is now an integral part of operational weather methods for generating such forecasts from numerical model output from the European Centre for Medium

Stevenson, Paul

306

CALIFORNIA ENERGY DEMAND 2008-2018 STAFF REVISED FORECAST  

E-Print Network (OSTI)

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

307

AUTOMATION OF ENERGY DEMAND FORECASTING Sanzad Siddique, B.S.  

E-Print Network (OSTI)

AUTOMATION OF ENERGY DEMAND FORECASTING by Sanzad Siddique, B.S. A Thesis submitted to the Faculty OF ENERGY DEMAND FORECASTING Sanzad Siddique, B.S. Marquette University, 2013 Automation of energy demand of the energy demand forecasting are achieved by integrating nonlinear transformations within the models

Povinelli, Richard J.

308

Facility Representative Program ID Selects FR of the Year  

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

Facility Representative Program ID Selects Facility Representative Program ID Selects FR of the Year John Martin DOE-ID Facility Representative John Martin DOE-ID Facility Representative of the Year. John Martin was selected as DOE-ID's Facility Representative of the Year and the office's nominee for the 2007 DOE Facility Representative of the Year Award. John was selected from an exceptional field of candidates to represent DOE-ID at the Facility Representative Annual Workshop in Las Vegas this May. Each year the Department of Energy recognizes the Facility Representative whose achievements during the calendar year are most exemplary. A panel of senior personnel representing the Office of Health, Safety and Security (HSS) National Nuclear Security Administration (NNSA), Environmental Management (EM), Science (SC), Nuclear Energy (NE) and at least five

309

Microsoft Word - DOE-ID-INL-12-015.doc  

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

15 15 SECTION A. Project Title: Materials and Fuels Complex Underground and Aboveground Storage Tank Replacement SECTION B. Project Description: The purpose of this project is to permanently close and remove the Materials and Fuels Complex (MFC) 4,000 gallon bio-diesel underground storage tank (UST) [Site ID# 7230/Facility ID # 6-120614/Tank ID # 99ANL00013] and remove the 1,000 gallon E-85 aboveground storage tank (AST) [Site ID# 7230/Facility ID# 6-120614/Tank ID# 05MFC00035] and replace the two tanks with a 10,000 gallon aboveground storage tank (AST) split tank (5,000 gallons for bio-diesel/5,000 gallons for E-85). The 4,000 gallon bio-diesel UST and the 1,000 gallon E-85 AST are located in the parking lot area near building MFC-701.

310

Wind and Load Forecast Error Model for Multiple Geographically Distributed Forecasts  

SciTech Connect

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

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

2010-11-02T23:59:59.000Z

311

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

E-Print Network (OSTI)

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

Lang, K.

1982-01-01T23:59:59.000Z

312

Forecasting the Locational Dynamics of Transnational Terrorism  

E-Print Network (OSTI)

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

Massachusetts at Amherst, University of

313

Do quantitative decadal forecasts from GCMs provide  

E-Print Network (OSTI)

' · Empirical models quantify our ability to predict without knowing the laws of physics · Climatology skill' model? 2. Dynamic climatology (DC) is a more appropriate benchmark for near- term (initialised) climate forecasts · A conditional climatology, initialised at launch and built from the historical archive

Stevenson, Paul

314

Sunny outlook for space weather forecasters  

Science Journals Connector (OSTI)

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

Eric Hand

2012-04-27T23:59:59.000Z

315

Modeling of Uncertainty in Wind Energy Forecast  

E-Print Network (OSTI)

regression and splines are combined to model the prediction error from Tunø Knob wind power plant. This data of the thesis is quantile regression and splines in the context of wind power modeling. Lyngby, February 2006Modeling of Uncertainty in Wind Energy Forecast Jan Kloppenborg Møller Kongens Lyngby 2006 IMM-2006

316

Prediction versus Projection: How weather forecasting and  

E-Print Network (OSTI)

Prediction versus Projection: How weather forecasting and climate models differ. Aaron B. Wilson Context: Global http://data.giss.nasa.gov/ #12;Numerical Weather Prediction Collect Observations alters associated weather patterns. Models used to predict weather depend on the current observed state

Howat, Ian M.

317

Customized forecasting tool improves reserves estimation  

SciTech Connect

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

Mian, M.A.

1986-04-01T23:59:59.000Z

318

Storm-in-a-Box Forecasting  

Science Journals Connector (OSTI)

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

Richard A. Kerr

2004-05-14T23:59:59.000Z

319

FORECAST OF VACANCIES Until end of 2016  

E-Print Network (OSTI)

#12;FORECAST OF VACANCIES Until end of 2016 (Issue No. 22) #12;Page 2 OVERVIEW OF BASIC REQUIREMENTS FOR PROFESSIONAL VACANCIES IN THE IAEA Education, Experience and Skills: Professional staff the team of professionals. Second half 2015 VACANCY GRADE REQUIREMENTS / ROLE EXPECTED DATE OF VACANCY

320

Online short-term solar power forecasting  

SciTech Connect

This paper describes a new approach to online forecasting of power production from PV systems. The method is suited to online forecasting in many applications and in this paper it is used to predict hourly values of solar power for horizons of up to 36 h. The data used is 15-min observations of solar power from 21 PV systems located on rooftops in a small village in Denmark. The suggested method is a two-stage method where first a statistical normalization of the solar power is obtained using a clear sky model. The clear sky model is found using statistical smoothing techniques. Then forecasts of the normalized solar power are calculated using adaptive linear time series models. Both autoregressive (AR) and AR with exogenous input (ARX) models are evaluated, where the latter takes numerical weather predictions (NWPs) as input. The results indicate that for forecasts up to 2 h ahead the most important input is the available observations of solar power, while for longer horizons NWPs are the most important input. A root mean square error improvement of around 35% is achieved by the ARX model compared to a proposed reference model. (author)

Bacher, Peder; Madsen, Henrik [Informatics and Mathematical Modelling, Richard Pedersens Plads, Technical University of Denmark, Building 321, DK-2800 Lyngby (Denmark); Nielsen, Henrik Aalborg [ENFOR A/S, Lyngsoe Alle 3, DK-2970 Hoersholm (Denmark)

2009-10-15T23:59:59.000Z

Note: This page contains sample records for the topic "forecasting wa id" 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

2011 Annual Planning Summary for Idaho Operations Office (ID)  

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

The ongoing and projected Environmental Assessments and Environmental Impact Statements for 2011 and 2012 within the Idaho Operations Office (ID) (See Environmental Management).

322

RAPID/Roadmap/8-ID-c | Open Energy Information  

Open Energy Info (EERE)

Information Desktop Toolkit BETA RAPID Toolkit About Bulk Transmission Geothermal Solar Resources Contribute Contact Us 8-ID-c Certificate of Public Convenience and...

323

Microsoft Word - DOE-ID-10-003.doc  

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

Project Description The state of Idaho receives funding from the Department of Energy to conduct independent oversight and monitoring of DOE-ID operations. Oversight activities...

324

Entity Name: ABC Company Entity ID:  

Gasoline and Diesel Fuel Update (EIA)

Entity Name: Entity Name: ABC Company Entity ID: 00000 Data Year: 2013 State Include or exclude pre-arranged interruptions? 1 2 3 Do you capture outage records for events that initiate outside your system (customer system that causes di 4 5 6 7 8 Point to calculation in P1782: use percentages weighted based upon the classification of the circuit. 9 10 11 12 REWORD: The percent of customers automatically reported when they have lost power? e.g. SCADA, AMI, Etc. 13 SAIDI value (w/o Major Events included) FORM EIA-861 OMB No. 1905-0129 ANNUAL ELECTRIC POWER INDUSTRY REPORT

325

Operational forecasting based on a modified Weather Research and Forecasting model  

SciTech Connect

Accurate short-term forecasts of wind resources are required for efficient wind farm operation and ultimately for the integration of large amounts of wind-generated power into electrical grids. Siemens Energy Inc. and Lawrence Livermore National Laboratory, with the University of Colorado at Boulder, are collaborating on the design of an operational forecasting system for large wind farms. The basis of the system is the numerical weather prediction tool, the Weather Research and Forecasting (WRF) model; large-eddy simulations and data assimilation approaches are used to refine and tailor the forecasting system. Representation of the atmospheric boundary layer is modified, based on high-resolution large-eddy simulations of the atmospheric boundary. These large-eddy simulations incorporate wake effects from upwind turbines on downwind turbines as well as represent complex atmospheric variability due to complex terrain and surface features as well as atmospheric stability. Real-time hub-height wind speed and other meteorological data streams from existing wind farms are incorporated into the modeling system to enable uncertainty quantification through probabilistic forecasts. A companion investigation has identified optimal boundary-layer physics options for low-level forecasts in complex terrain, toward employing decadal WRF simulations to anticipate large-scale changes in wind resource availability due to global climate change.

Lundquist, J; Glascoe, L; Obrecht, J

2010-03-18T23:59:59.000Z

326

UNCERTAINTY IN THE GLOBAL FORECAST SYSTEM  

SciTech Connect

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

Werth, D.; Garrett, A.

2009-04-15T23:59:59.000Z

327

Forecastability as a Design Criterion in Wind Resource Assessment: Preprint  

SciTech Connect

This paper proposes a methodology to include the wind power forecasting ability, or 'forecastability,' of a site as a design criterion in wind resource assessment and wind power plant design stages. The Unrestricted Wind Farm Layout Optimization (UWFLO) methodology is adopted to maximize the capacity factor of a wind power plant. The 1-hour-ahead persistence wind power forecasting method is used to characterize the forecastability of a potential wind power plant, thereby partially quantifying the integration cost. A trade-off between the maximum capacity factor and the forecastability is investigated.

Zhang, J.; Hodge, B. M.

2014-04-01T23:59:59.000Z

328

ANL Wind Power Forecasting and Electricity Markets | Open Energy  

Open Energy Info (EERE)

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

329

DOE Challenge Home Case Study TC Legend, Seattle, WA, Custom Home  

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

TC Legend TC Legend Homes Seattle, WA BUILDING TECHNOLOGIES OFFICE DOE Challenge Home builders are in the top 1% of builders in the country meeting the extraordinary levels of excellence and quality specifi ed by the U.S. Department of Energy. Every DOE Challenge Home starts with ENERGY STAR for Homes Version 3 for an energy-effi cient home built on a solid foundation of building science research. Then, even more advanced technologies are designed in for a home that goes above and beyond current code to give you the superior quality construction, HVAC, appliances, indoor air quality, safety, durability, comfort, and solar-ready components along with ultra-low or no utility bills. This provides homeowners with a quality home that will last for generations to come.

330

Recipient: County of Kitsap, WA ENERGY EFFICIENCY AND CONSERVATION BLOCK GRANTS NEPA COMPLIANCE FORM  

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

it: EE 000 0853 it: EE 000 0853 Recipient: County of Kitsap, WA ENERGY EFFICIENCY AND CONSERVATION BLOCK GRANTS NEPA COMPLIANCE FORM Activities Determination/ Categorical Exclusion Reviewer's Specific Instructions and Rationale (Restrictions and Allowable Activity) Kitsap Built Green Projects B5.1 Waste Stream, Engineering, and Historic Preservation clauses. Kitsap County Building Retrofits and Energy Efficiency Upgrades (Green Jobs Initiative) B5.1 except geothermal Waste Stream, Engineering, and Historic Preservation clauses. Prohibited: Any implementation of geothermal projects/construction activities without NEPA approval from DOE. Geothermal projects are to be provided to DOE for analysis. Energy Efficiency Implementation and Strategy A9, All, B5.1 None Energy Services Corps A9, All, B5.1

331

DOE Challenge Home Case Study, Dwell Development, Seattle, WA, Systems Home  

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

Dwell Dwell Development Seattle, WA BUILDING TECHNOLOGIES OFFICE DOE Challenge Home builders are in the top 1% of builders in the country meeting the extraordinary levels of excellence and quality specifi ed by the U.S. Department of Energy. Every DOE Challenge Home starts with ENERGY STAR for Homes Version 3 for an energy-effi cient home built on a solid foundation of building science research. Then, even more advanced technologies are designed in for a home that goes above and beyond current code to give you the superior quality construction, HVAC, appliances, indoor air quality, safety, durability, comfort, and solar-ready components along with ultra-low or no utility bills. This provides homeowners with a quality home that will last for generations to come.

332

Microsoft Word - CX-AccessRoads-KingCoWA-FY13_WEB.doc  

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

22, 2013 22, 2013 REPLY TO ATTN OF: KEPR-Covington SUBJECT: Environmental Clearance Memorandum Rick Ross Engineer - TELF-TPP-3 Proposed Action: Covington District Culvert Replacements Categorical Exclusion Applied (from Subpart D, 10 C.F.R. Part 1021): Appendix B1.3, Routine Maintenance Location: King County, WA Proposed by: Bonneville Power Administration (BPA) Description of the Proposed Action: BPA is proposing to replace existing culverts at 12 access road stream crossings that present barriers to fish passage. These improvements will be made on BPA easement access roads within DNR owned and managed lands. BPA will make these improvements by installing new fish friendly culverts and/or bridges at each stream crossing. The current stream crossings do not meet DNR fish passage standards that will be in

333

DOE Challenge Home Case Study, Clifton View Homes, Coupeville, WA, Systems Home  

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

Clifton View Clifton View Homes Coupeville, WA BUILDING TECHNOLOGIES OFFICE DOE Challenge Home builders are in the top 1% of builders in the country meeting the extraordinary levels of excellence and quality specifi ed by the U.S. Department of Energy. Every DOE Challenge Home starts with ENERGY STAR for Homes Version 3 for an energy-effi cient home built on a solid foundation of building science research. Then, even more advanced technologies are designed in for a home that goes above and beyond current code to give you the superior quality construction, HVAC, appliances, indoor air quality, safety, durability, comfort, and solar-ready components along with ultra-low or no utility bills. This provides homeowners with a quality home that will last for generations to come.

334

Id-1 and Id-2 genes and products as therapeutic targets for treatment of breast cancer and other types of carcinoma  

DOE Patents (OSTI)

A method for treatment and amelioration of breast, cervical, ovarian, endometrial, squamous cells, prostate cancer and melanoma in a patient comprising targeting Id-1 or Id-2 gene expression with a delivery vehicle comprising a product which modulates Id-1 or Id-2 expression.

Desprez, Pierre-Yves; Campisi, Judith

2014-09-30T23:59:59.000Z

335

Nr. 077 / 2014 // 6. Mai 2014 Prof. Ngugi wa Thiong'o whrend seiner Rede zur Annahme der Ehrendoktorwrde  

E-Print Network (OSTI)

Nr. 077 / 2014 // 6. Mai 2014 1/5 Prof. Ngugi wa Thiong'o während seiner Rede zur Annahme der der afrikanischen Partneruniversitäten im Netzwerk der BIGSAS würden den Geehrten begleiten. Die Rede

Ullmann, G. Matthias

336

October 14 WA Division Newsletter Page 4 Tool durability and steel microstructure in friction stir welding of mild steel  

E-Print Network (OSTI)

October 14 WA Division Newsletter Page 4 Tool durability and steel microstructure in friction stir welding of mild steel A. De1 , H. K. D. H. Bhadeshia2 and T. DebRoy3 1 Indian Institute of Technology- ium alloys has been applied to the FSW of steel. The calculations were extended to predict

Cambridge, University of

337

Usage Codes Observer code Vessel code Trip ID  

E-Print Network (OSTI)

Usage Codes 1 5 2 6 3 7 4 8 Sonar Observer code Vessel code Trip ID Additional Information KHz: RPM / Other _______________Global Registry ID:MMSI No. Permit expiration (dd-mm- yy): Y / N Present? Usage contact Diver / dive equipment Usage Manufacturer Hull mounted / towed Catch Y / N Other: Y / N Y / NOther

338

IDS Climate Change and Development Centre Resources | Open Energy  

Open Energy Info (EERE)

IDS Climate Change and Development Centre Resources IDS Climate Change and Development Centre Resources Jump to: navigation, search Tool Summary Name: IDS Climate Change and Development Centre Resources Agency/Company /Organization: Institute of Development Studies Sector: Energy, Land Topics: Policies/deployment programs Resource Type: Workshop, Publications, Training materials, Lessons learned/best practices References: Institute of Development Studies CCDC[1] Logo: IDS Climate Change and Development Centre Resources CCDC promotes "collaborative research and policy analysis, delivering high quality research programmes, knowledge services, teaching and training." References ↑ "Institute of Development Studies CCDC" Retrieved from "http://en.openei.org/w/index.php?title=IDS_Climate_Change_and_Development_Centre_Resources&oldid=375095"

339

Short-Term World Oil Price Forecast  

Gasoline and Diesel Fuel Update (EIA)

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

340

OpenEI Community - energy data + forecasting  

Open Energy Info (EERE)

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

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


341

Voluntary Green Power Market Forecast through 2015  

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

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

342

EIA - Forecasts and Analysis of Energy Data  

Gasoline and Diesel Fuel Update (EIA)

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

343

FORSITE: a geothermal site development forecasting system  

SciTech Connect

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

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

1981-10-01T23:59:59.000Z

344

Forecasting hotspots using predictive visual analytics approach  

SciTech Connect

A method for forecasting hotspots is provided. The method may include the steps of receiving input data at an input of the computational device, generating a temporal prediction based on the input data, generating a geospatial prediction based on the input data, and generating output data based on the time series and geospatial predictions. The output data may be configured to display at least one user interface at an output of the computational device.

Maciejewski, Ross; Hafen, Ryan; Rudolph, Stephen; Cleveland, William; Ebert, David

2014-12-30T23:59:59.000Z

345

Identification of Staphylococcus species and subspecies with the MicroScan Pos ID and Rapid Pos ID panel systems.  

Science Journals Connector (OSTI)

...hybridization. The Pos ID panel uses a battery of 18 tests, and the Rapid Pos ID panel uses a battery of 42 tests for the identification of Staphylococcus...Johnson. 1969. A batch procedure for thermal elution of DNA from hydroxyapatite. Anal...

W E Kloos; C G George

1991-04-01T23:59:59.000Z

346

Exponential smoothing model selection for forecasting  

Science Journals Connector (OSTI)

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

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

2006-01-01T23:59:59.000Z

347

Solar Wind Forecasting with Coronal Holes  

E-Print Network (OSTI)

An empirical model for forecasting solar wind speed related geomagnetic events is presented here. The model is based on the estimated location and size of solar coronal holes. This method differs from models that are based on photospheric magnetograms (e.g., Wang-Sheeley model) to estimate the open field line configuration. Rather than requiring the use of a full magnetic synoptic map, the method presented here can be used to forecast solar wind velocities and magnetic polarity from a single coronal hole image, along with a single magnetic full-disk image. The coronal hole parameters used in this study are estimated with Kitt Peak Vacuum Telescope He I 1083 nm spectrograms and photospheric magnetograms. Solar wind and coronal hole data for the period between May 1992 and September 2003 are investigated. The new model is found to be accurate to within 10% of observed solar wind measurements for its best one-month periods, and it has a linear correlation coefficient of ~0.38 for the full 11 years studied. Using a single estimated coronal hole map, the model can forecast the Earth directed solar wind velocity up to 8.5 days in advance. In addition, this method can be used with any source of coronal hole area and location data.

S. Robbins; C. J. Henney; J. W. Harvey

2007-01-09T23:59:59.000Z

348

11 . CONT RACT ID CODE IPAG~ OF PAGES  

E-Print Network (OSTI)

2 of 3 Purpose of Modification: The Department of Energy (DOE), Office of Science (SC), Pacific of Energy Pacific Northwest Site Office Post Office Box 350 Richland, WA 99352 8. NAME AND ADDRESS CHANGES (such as changes in paying office, appropriation date, etc.) SET FORTH IN ITEM 14, PURSUANT T O

349

Beamline 4-ID-D Publications  

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

2012 2012 2011 2010 2009 2008 All Sector 4 Pubs. APS Pubs. Database Recent 4-ID-D Publications Publications 2013:(13) "Classical and quantum phase transitions revealed using transport and x-ray measurements," Arnab Banerjee, Ph.D.-Thesis, University of Chicago, 2013. "Charge transfer and multiple density waves in the rare earth tellurides," A. Banerjee, Yejun Feng, D.M. Silevitch, Jiyang Wang, J.C. Lang, H.-H. Kuo, I.R. Fisher, T.F. Rosenbaum, Phys. Rev. B 87, 155131 (2013). "Local structure, stripe pinning, and superconductivity in La1.875Ba0.125CuO4 at high pressure," G. Fabbris, M. Hücker, G.D. Gu, J.M. Tranquada, D. Haskel, Phys. Rev. B 88, 060507(R) (2013). "Different routes to pressure-induced volume collapse transitions in

350

SLAC Dosimeter / ID Request Form A  

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

Feb 2009 (updated 13 May 2010) SLAC-I-760-0A07J-006-R010 1 of 2 Feb 2009 (updated 13 May 2010) SLAC-I-760-0A07J-006-R010 1 of 2 SLAC Dosimeter / ID Request Form A (For applicants who have completed SLAC Environment, Safety, and Health Training) Sections 1-5 completed by applicant. Section 1: Contact Information Last name: First name: MI: Male Female Birth year (yyyy): Job title: Contact information/mailing address: City: State: Zip code: Country: Dept/Group: Phone number: Mail stop: Users or non-SLAC employees only: List employer, company, or university : Section 2: Identification Badge Request I am applying for my first SLAC identification badge; I have successfully completed the following ES&H training (indicate all that apply): SON SOC EOESH GERT RWT I RWT II

351

Beamline 6-ID-D Publications  

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

2 2 2011 2010 2009 2008 All Sector 6 Pubs. APS Pubs. Database Recent 6-ID-D Publications Publications 2013:(24) "Controlling Size-Induced Phase Transformations Using Chemically Designed Nanolaminates," Matt Beekman, Sabrina Disch, Sergei Rouvimov, Deepa Kasinathan, Klaus Koepernik, Helge Rosner, Paul Zschack, Wolfgang S. Neumann, David C. Johnson, Angew. Chem. Int. Ed. 52, 13211 (2013). "Thermophysical and Structural Measurements of Liquid Metallic Alloys Using Electrostatic Levitation," James Christopher Bendert, Ph.D.-Thesis, Washington University , 2013. "Pair distribution function analysis of X-ray diffraction from amorphous spheres in an asymmetric transmission geometry: application to a Zr58.5Cu15.6Ni12.8Al10.3Nb2.8 glass," J.C. Bendert, N.A. Mauro, K.F. Kelton, J. Appl. Crystallogr. 46, 999

352

Mo Year Report Period: EIA ID NUMBER:  

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

Version No: 2013.01 Mo Year Report Period: EIA ID NUMBER: http://www.eia.gov/survey/form/eia_14/instructions.pdf Mailing Address: Secure File Transfer option available at: (e.g., PO Box, RR) https://signon.eia.doe.gov/upload/noticeoog.jsp Electronic Transmission: The PC Electronic Zip Code - Data Reporting Option (PEDRO) is available. If interested in software, call (202) 586-9659. Email form to: OOG.SURVEYS@eia.doe.gov - - - - Fax form to: (202) 586-9772 Mail form to: Oil & Gas Survey Email address: U.S. Department of Energy Ben Franklin Station PO Box 279 Washington, DC 20044-0279 Questions? Call toll free: 1-800-638-8812 PADD 4 Type of Report (Check One ): (Thousands of dollars) (Thousands of barrels) PADD 2 PADD 3 PAD DISTRICT (a) Revision to Report:

353

CORE DATA PROCESSING SOFTWARE PLAN REVIEW | SEATTLE, WA | SEPTEMBER 19-20, 2013Name of Mee)ng Loca)on Date -Change in Slide Master CDP FINAL DESIGN REVIEW  

E-Print Network (OSTI)

CORE DATA PROCESSING SOFTWARE PLAN REVIEW | SEATTLE, WA | SEPTEMBER 19-20, 2013Name of Mee DATA PROCESSING SOFTWARE PLAN REVIEW | SEATTLE, WA | SEPTEMBER 19-20, 2013 Outline Single PLAN REVIEW | SEATTLE, WA | SEPTEMBER 19-20, 2013 Background Estimation ­ One of the unsolved issues

Masci, Frank

354

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

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

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

355

Annual Energy Outlook with Projections to 2025-Forecast Comparisons  

Gasoline and Diesel Fuel Update (EIA)

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

356

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

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

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

357

Metrics for Evaluating the Accuracy of Solar Power Forecasting: Preprint  

SciTech Connect

Forecasting solar energy generation is a challenging task due to the variety of solar power systems and weather regimes encountered. Forecast inaccuracies can result in substantial economic losses and power system reliability issues. This paper presents a suite of generally applicable and value-based metrics for solar forecasting for a comprehensive set of scenarios (i.e., different time horizons, geographic locations, applications, etc.). In addition, a comprehensive framework is developed to analyze the sensitivity of the proposed metrics to three types of solar forecasting improvements using a design of experiments methodology, in conjunction with response surface and sensitivity analysis methods. The results show that the developed metrics can efficiently evaluate the quality of solar forecasts, and assess the economic and reliability impact of improved solar forecasting.

Zhang, J.; Hodge, B. M.; Florita, A.; Lu, S.; Hamann, H. F.; Banunarayanan, V.

2013-10-01T23:59:59.000Z

358

Electric Grid - Forecasting system licensed | ornl.gov  

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

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

359

Managing Wind Power Forecast Uncertainty in Electric Grids.  

E-Print Network (OSTI)

??Electricity generated from wind power is both variable and uncertain. Wind forecasts provide valuable information for wind farm management, but they are not perfect. Chapter (more)

Mauch, Brandon Keith

2012-01-01T23:59:59.000Z

360

Forecasting supply/demand and price of ethylene feedstocks  

SciTech Connect

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

Struth, B.W.

1984-08-01T23:59:59.000Z

Note: This page contains sample records for the topic "forecasting wa id" 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

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

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

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

362

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

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

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

363

Integrating agricultural pest biocontrol into forecasts of energy biomass production  

E-Print Network (OSTI)

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

Gratton, Claudio

364

Draft Greater Than Class C EIS Public Hearings to Come to Pasco, WA and  

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

The United States Department of Energy (DOE), Office of Environmental Management (EM), is preparing an Environmental Impact Statement (EIS) for disposal of Greater-Than-Class C Low-Level Radioactive Waste (GTCC LLRW). The EIS evaluates potential alternatives involving various disposal methods for application at six federally owned sites and generic commercial sites. (See Overview Below). The United States Department of Energy (DOE), Office of Environmental Management (EM), is preparing an Environmental Impact Statement (EIS) for disposal of Greater-Than-Class C Low-Level Radioactive Waste (GTCC LLRW). The EIS evaluates potential alternatives involving various disposal methods for application at six federally owned sites and generic commercial sites. (See Overview Below). Upcoming Public Hearings DOE will hold hearings in the following locations on the following dates and times. Las Vegas, NV Desert Research Institute - Frank Rodgers Building 755 East Flamingo Road, Las Vegas, NV 89119 May 9, 2011, 5:30 p.m.�9:30 p.m. Idaho Falls, ID Shilo Inn Suites Hotel 780 Lindsay Boulevard, Idaho Falls, ID 83402 May 11, 2011, 5:30 p.m.�9:30 p.m.

365

Property:HPBD/ProjectId | Open Energy Information  

Open Energy Info (EERE)

ProjectId ProjectId Jump to: navigation, search This is a property of type Number. Pages using the property "HPBD/ProjectId" Showing 25 pages using this property. (previous 25) (next 25) H High Performance Buildings Database + 203 + High Performance Buildings Database + 358 + High Performance Buildings Database + 71 + High Performance Buildings Database + 833 + High Performance Buildings Database + 247 + High Performance Buildings Database + 20 + High Performance Buildings Database + 498 + High Performance Buildings Database + 132 + High Performance Buildings Database + 194 + High Performance Buildings Database + 323 + High Performance Buildings Database + 50 + High Performance Buildings Database + 785 + High Performance Buildings Database + 223 +

366

NJ WY AK AL CA AR CO CT DE FL GA HI ID KS IL IN IA IA KY LA  

Gasoline and Diesel Fuel Update (EIA)

0.00-1.99 0.00-1.99 2.00-2.99 3.00-3.99 4.00-4.99 5.00-5.99 6.00-6.99 7.00+ NJ WY AK AL CA AR CO CT DE FL GA HI ID KS IL IN IA IA KY LA ME MI MA MD MN MS MT MO NE ND OH NV NM NY NH NC OK OR PA RI SC SD TN TX UT VT WA WV WI AZ VA DC 0.00-1.99 2.00-2.99 3.00-3.99 4.00-4.99 5.00-5.99 6.00-6.99 7.00+ 18. Average Price of Natural Gas Delivered to U.S. Onsystem Industrial Consumers, 1996 (Dollars per Thousand Cubic Feet) Figure 19. Average Price of Natural Gas Delivered to U.S. Electric Utilities, 1996 (Dollars per Thousand Cubic Feet) Figure Sources: Federal Energy Regulatory Commission (FERC), Form FERC-423, "Monthly Report of Cost and Quality of Fuels for Electric Plants," and Energy Information Administration (EIA), Form EIA-176, "Annual Report of Natural and Supplemental Gas Supply and Disposition." Note: In 1996, consumption of natural gas for agricultural use

367

Forecasting for inventory control with exponential smoothing  

Science Journals Connector (OSTI)

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

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

2002-01-01T23:59:59.000Z

368

Probabilistic Verification of Global and Mesoscale Ensemble Forecasts of Tropical Cyclogenesis  

Science Journals Connector (OSTI)

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

Sharanya J. Majumdar; Ryan D. Torn

2014-10-01T23:59:59.000Z

369

Microsoft Word - DOE-ID-INL-13-025.doc  

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

No.: DOE-ID-INL-13-025 SECTION A. Project Title: Willow Creek Building Pedestrian Bridge Replacement SECTION B. Project Description: The purpose and need for the proposed...

370

Microsoft Word - DOE-ID-INL-14-044.docx  

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

DETERMINATIO Idaho National Laboratory Page 1 of 2 CX Posting No.: DOE-ID-INL-14-044 SECTION A. Project Title: Materials and Fuels Complex (MFC)-752 Analytical Laboratory Water...

371

RAPID/Roadmap/6-ID-b | Open Energy Information  

Open Energy Info (EERE)

6-ID-b Construction Storm Water Permit 06IDBConstructionStormwaterPermit.pdf Click to View Fullscreen Permit Overview Not provided Click "Edit With Form" above to add content...

372

RAPID/Roadmap/18-ID-c | Open Energy Information  

Open Energy Info (EERE)

8-ID-c Wastewater Pretreatment Permit 18IDCWastewaterPretreatmentPermit.pdf Click to View Fullscreen Permit Overview Industrial wastewater permits are issued at the local level. If...

373

Eastport, ID Natural Gas Pipeline Imports From Canada (Million...  

Gasoline and Diesel Fuel Update (EIA)

data. Release Date: 1302015 Next Release Date: 2272015 Referring Pages: U.S. Natural Gas Pipeline Imports by Point of Entry Eastport, ID Natural Gas Imports by Pipeline from...

374

A WASHINGTON STATE UNIVERSITY POSTDOCTORAL POSITION FOR WORK AT LIGO HANFORD, WA Applications are invited for a postdoctoral position in the Gravity Group at the Department of Physics  

E-Print Network (OSTI)

A WASHINGTON STATE UNIVERSITY POSTDOCTORAL POSITION FOR WORK AT LIGO HANFORD, WA Applications characterization for the Advanced Laser Interferometer Gravitational wave Observatory (LIGO) at the Hanford site characterization at the LIGO Hanford observatory. Familiarity with data analysis pipelines for searching

Collins, Gary S.

375

Application of a modified denitrifying bacteria method for analyzing groundwater and vadose zone pore water nitrate at the Hanford Site, WA, USA.  

E-Print Network (OSTI)

zone pore water nitrate at the Hanford Site, WA, USA. Woods,and Conrad, Mark The Hanford Site in southern WashingtonL have been reported for Hanford groundwaters, where nitrate

Woods, Katharine N.; Singleton, Michael J.; Conrad, Mark

2003-01-01T23:59:59.000Z

376

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

E-Print Network (OSTI)

REVIEWS 151 Charles W.A. Prior. Defining the Jacobean Church: the Politics of Religious Controversy, 1603-1625. Cambridge: Cambridge University Press, 2005. xiv + 294 pp. $85.00. Review by GRAHAM PARRY, UNIVERSITY OF YORK. Defining the Jacobean...

Parry, Graham

2006-01-01T23:59:59.000Z

377

Random switching exponential smoothing and inventory forecasting  

Science Journals Connector (OSTI)

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

Giacomo Sbrana; Andrea Silvestrini

2014-01-01T23:59:59.000Z

378

Voluntary Green Power Market Forecast through 2015  

SciTech Connect

Various factors influence the development of the voluntary 'green' power market--the market in which consumers purchase or produce power from non-polluting, renewable energy sources. These factors include climate policies, renewable portfolio standards (RPS), renewable energy prices, consumers' interest in purchasing green power, and utilities' interest in promoting existing programs and in offering new green options. This report presents estimates of voluntary market demand for green power through 2015 that were made using historical data and three scenarios: low-growth, high-growth, and negative-policy impacts. The resulting forecast projects the total voluntary demand for renewable energy in 2015 to range from 63 million MWh annually in the low case scenario to 157 million MWh annually in the high case scenario, representing an approximately 2.5-fold difference. The negative-policy impacts scenario reflects a market size of 24 million MWh. Several key uncertainties affect the results of this forecast, including uncertainties related to growth assumptions, the impacts that policy may have on the market, the price and competitiveness of renewable generation, and the level of interest that utilities have in offering and promoting green power products.

Bird, L.; Holt, E.; Sumner, J.; Kreycik, C.

2010-05-01T23:59:59.000Z

379

Expert Panel: Forecast Future Demand for Medical Isotopes  

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

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

380

A robust automatic phase-adjustment method for financial forecasting  

Science Journals Connector (OSTI)

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

Ricardo de A. Arajo

2012-03-01T23:59:59.000Z

Note: This page contains sample records for the topic "forecasting wa id" 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

Short term forecasting of solar radiation based on satellite data  

E-Print Network (OSTI)

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

Heinemann, Detlev

382

Developing electricity forecast web tool for Kosovo market  

Science Journals Connector (OSTI)

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

Blerim Rexha; Arben Ahmeti; Lule Ahmedi; Vjollca Komoni

2011-02-01T23:59:59.000Z

383

FORECASTING WATER DEMAND USING CLUSTER AND REGRESSION ANALYSIS  

E-Print Network (OSTI)

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

Keller, Arturo A.

384

Impact of PV forecasts uncertainty in batteries management in microgrids  

E-Print Network (OSTI)

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

Paris-Sud XI, Université de

385

Revised 1997 Retail Electricity Price Forecast Principal Author: Ben Arikawa  

E-Print Network (OSTI)

Revised 1997 Retail Electricity Price Forecast March 1998 Principal Author: Ben Arikawa Electricity 1997 FORE08.DOC Page 1 CALIFORNIA ENERGY COMMISSION ELECTRICITY ANALYSIS OFFICE REVISED 1997 RETAIL ELECTRICITY PRICE FORECAST Introduction The Electricity Analysis Office of the California Energy Commission

386

Calibrated Probabilistic Forecasting at the Stateline Wind Energy Center  

E-Print Network (OSTI)

Calibrated Probabilistic Forecasting at the Stateline Wind Energy Center: The Regime at wind energy sites are becoming paramount. Regime-switching space-time (RST) models merge meteorological forecast regimes at the wind energy site and fits a conditional predictive model for each regime

Washington at Seattle, University of

387

A Transformed Lagged Ensemble Forecasting Technique for Increasing Ensemble Size  

E-Print Network (OSTI)

A Transformed Lagged Ensemble Forecasting Technique for Increasing Ensemble Size Andrew. R.Lawrence@ecmwf.int #12;Abstract An ensemble-based data assimilation approach is used to transform old en- semble. The impact of the transformations are propagated for- ward in time over the ensemble's forecast period

Hansens, Jim

388

Improving baseline forecasts in a 500-industry dynamic CGE model of the USA.  

E-Print Network (OSTI)

??MONASH-style CGE models have been used to generate baseline forecasts illustrating how an economy is likely to evolve through time. One application of such forecasts (more)

Mavromatis, Peter George

2013-01-01T23:59:59.000Z

389

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

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

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

390

Uncertainty Reduction in Power Generation Forecast Using Coupled Wavelet-ARIMA  

SciTech Connect

In this paper, we introduce a new approach without implying normal distributions and stationarity of power generation forecast errors. In addition, it is desired to more accurately quantify the forecast uncertainty by reducing prediction intervals of forecasts. We use automatically coupled wavelet transform and autoregressive integrated moving-average (ARIMA) forecasting to reflect multi-scale variability of forecast errors. The proposed analysis reveals slow-changing quasi-deterministic components of forecast errors. This helps improve forecasts produced by other means, e.g., using weather-based models, and reduce forecast errors prediction intervals.

Hou, Zhangshuan; Etingov, Pavel V.; Makarov, Yuri V.; Samaan, Nader A.

2014-10-27T23:59:59.000Z

391

EIA - Forecasts and Analysis of Energy Data  

Gasoline and Diesel Fuel Update (EIA)

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

392

EIA - Forecasts and Analysis of Energy Data  

Gasoline and Diesel Fuel Update (EIA)

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

393

EIA - Forecasts and Analysis of Energy Data  

Gasoline and Diesel Fuel Update (EIA)

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

394

Annual Energy Outlook 1998 Forecasts - Preface  

Gasoline and Diesel Fuel Update (EIA)

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

395

EIA - Forecasts and Analysis of Energy Data  

Gasoline and Diesel Fuel Update (EIA)

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

396

Volatility forecasting with smooth transition exponential smoothing  

Science Journals Connector (OSTI)

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

James W. Taylor

2004-01-01T23:59:59.000Z

397

Incorporating Forecast Uncertainty in Utility Control Center  

SciTech Connect

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

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

2014-07-09T23:59:59.000Z

398

Annual Energy Outlook Forecast Evaluation - Tables  

Gasoline and Diesel Fuel Update (EIA)

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

399

Coal production forecast and low carbon policies in China  

Science Journals Connector (OSTI)

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

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

2011-01-01T23:59:59.000Z

400

U.S. Regional Demand Forecasts Using NEMS and GIS  

SciTech Connect

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

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

2005-07-01T23:59:59.000Z

Note: This page contains sample records for the topic "forecasting wa id" 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

Measuring the forecasting accuracy of models: evidence from industrialised countries  

Science Journals Connector (OSTI)

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

Athanasios Koulakiotis; Apostolos Dasilas

2009-01-01T23:59:59.000Z

402

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

E-Print Network (OSTI)

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

Marquez, Ricardo

2012-01-01T23:59:59.000Z

403

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

E-Print Network (OSTI)

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

Greenslade, Diana

404

Decommissioning samples from the Ft. Lewis, WA, solvent refined coal pilot plant: chemical analysis and biological testing  

SciTech Connect

This report presents the results from chemical analyses and limited biological assays of three sets of samples from the Ft. Lewis, WA solvent refined coal (SRC) pilot plant. The samples were collected during the process of decommissioning this facility. Chemical composition was determined for chemical class fractions of the samples by using high-resolution gas chromatography (GC), high-resolution GC/mass spectrometry (MS) and high-resolution MS. Biological activity was measuring using both the histidine reversion microbial mutagenicity assay with Salmonella typhimurium, TA98 and an initiation/promotion mouse-skin tumorigenicity assay. 19 refs., 7 figs., 27 tabs.

Weimer, W.C.; Wright, C.W.

1985-10-01T23:59:59.000Z

405

Building Energy Software Tools Directory: ID-Spec Large  

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

ID-Spec Large ID-Spec Large ID-Spec Large is software for the electrical installation design of industrial and tertiary buildings. It helps to design a green electrical installation by enabling the user to: - Assess the impact of selecting energy efficiency solutions like power factor correction and low losses transformers in terms of cost savings - Reduce power losses and consequently carbon emissions in the electrical installation by optimizing equipment locations - Reduce investment cost while using less raw materials by optimizing length and cross-section of cables - Assess the percentage of recyclable materials for cables and busbar trunking systems. Screen Shots Keywords Electrical installation design, power losses assessment, CO2 emissions, quantity of conductors

406

Microsoft Word - DOE-ID-INL-13-006.docx  

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

ID-NEPA CX DETERMINATION ID-NEPA CX DETERMINATION Idaho National Laboratory Page 1 of 3 EC Document No.: DOE-ID-INL-13-006 SECTION A. Project Title: Power Line Configuration 2013-1 SECTION B. Project Description: This project will install temporary distribution-level power lines between Materials and Fuels Complex (MFC) and Critical Infrastructure Test Range Complex (CITRC) to support research and development and testing using electric power infrastructure. Two circuits of three-phase distribution lines will be installed from Power Burst Facility (PBF)-613 to the MFC test pad. Standard new crossarms and insulators will be installed on the existing 138kV H structures (underbuild) to support standard aluminum conductors steel reinforced (ACSR) conductors for the majority of the configuration change (approximately from Pole 40E to Pole 127E - an

407

Property:EiaUtilityId | Open Energy Information  

Open Energy Info (EERE)

EiaUtilityId EiaUtilityId Jump to: navigation, search This is a property of type String. Pages using the property "EiaUtilityId" Showing 25 pages using this property. (previous 25) (next 25) 3 3 Phases Energy Services + 21093 + 4 4-County Electric Power Assn + 6641 + A A & N Electric Coop + 84 + A & N Electric Coop (Virginia) + 84 + AEP Generating Company + 343 + AEP Texas Central Company + 3278 + AEP Texas North Company + 20404 + AES Eastern Energy LP + 134 + AGC Division of APG Inc + 261 + AP Holdings LLC + 56571 + AP Holdings LLC (New York) + 56571 + APN Starfirst, L.P. + 50153 + APN Starfirst, L.P. (Illinois) + 50153 + APN Starfirst, L.P. (Ohio) + 50153 + APN Starfirst, L.P. (Texas) + 50153 + APNA Energy + 55841 + ARCO Products Co-Watson + 867 +

408

Intergral Drive Systems AG IDS | Open Energy Information  

Open Energy Info (EERE)

Intergral Drive Systems AG IDS Intergral Drive Systems AG IDS Jump to: navigation, search Name Intergral Drive Systems AG (IDS) Place Zurich, Swaziland Zip CH-8005 Sector Wind energy Product Zurich based producer of power electronics systems for wind turbines, PV plants, and propulsion systems. Coordinates 47.37706°, 8.53955° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":47.37706,"lon":8.53955,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

409

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

Open Energy Info (EERE)

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

410

Forecasting Crude Oil Spot Price Using OECD Petroleum Inventory  

Gasoline and Diesel Fuel Update (EIA)

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

411

Adaptive sampling and forecasting with mobile sensor networks  

E-Print Network (OSTI)

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

Choi, Han-Lim

2009-01-01T23:59:59.000Z

412

Pacific Adaptation Strategy Assistance Program Dynamical Seasonal Forecasting  

E-Print Network (OSTI)

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

Lim, Eun-pa

413

Forecasting Volatility in Stock Market Using GARCH Models  

E-Print Network (OSTI)

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

Yang, Xiaorong

2008-01-01T23:59:59.000Z

414

Exponential smoothing with covariates applied to electricity demand forecast  

Science Journals Connector (OSTI)

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

José D. Bermúdez

2013-01-01T23:59:59.000Z

415

Initial conditions estimation for improving forecast accuracy in exponential smoothing  

Science Journals Connector (OSTI)

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

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

2012-07-01T23:59:59.000Z

416

A Bayesian approach to forecast intermittent demand for seasonal products  

Science Journals Connector (OSTI)

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

Mohammad Anwar Rahman; Bhaba R. Sarker

2012-01-01T23:59:59.000Z

417

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

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

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

418

A Parameter for Forecasting Tornadoes Associated with Landfalling Tropical Cyclones  

Science Journals Connector (OSTI)

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

Matthew J. Onderlinde; Henry E. Fuelberg

2014-10-01T23:59:59.000Z

419

Wind Power Forecasting: State-of-the-Art 2009  

E-Print Network (OSTI)

Wind Power Forecasting: State-of-the-Art 2009 ANL/DIS-10-1 Decision and Information Sciences about Argonne and its pioneering science and technology programs, see www.anl.gov. #12;Wind Power

Kemner, Ken

420

2007 National Hurricane Center Forecast Verification Report James L. Franklin  

E-Print Network (OSTI)

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

Note: This page contains sample records for the topic "forecasting wa id" 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

Recently released EIA report presents international forecasting data  

SciTech Connect

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

NONE

1995-05-01T23:59:59.000Z

422

FINAL DEMAND FORECAST FORMS AND INSTRUCTIONS FOR THE 2007  

E-Print Network (OSTI)

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

423

Information-Based Skill Scores for Probabilistic Forecasts  

Science Journals Connector (OSTI)

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

Bodo Ahrens; Andr Walser

2008-01-01T23:59:59.000Z

424

A methodology for forecasting carbon dioxide flooding performance  

E-Print Network (OSTI)

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

Marroquin Cabrera, Juan Carlos

2012-06-07T23:59:59.000Z

425

Evolutionary Optimization of an Ice Accretion Forecasting System  

Science Journals Connector (OSTI)

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

Pawel Pytlak; Petr Musilek; Edward Lozowski; Dan Arnold

2010-07-01T23:59:59.000Z

426

Diagnosing the Origin of Extended-Range Forecast Errors  

Science Journals Connector (OSTI)

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

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

2010-06-01T23:59:59.000Z

427

Application of an Improved SVM Algorithm for Wind Speed Forecasting  

Science Journals Connector (OSTI)

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

Huaqiang Zhang; Xinsheng Wang; Yinxiao Wu

2011-01-01T23:59:59.000Z

428

Research on Development Trends of Power Load Forecasting Methods  

Science Journals Connector (OSTI)

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

Litong Dong; Jun Xu; Haibo Liu; Ying Guo

2014-01-01T23:59:59.000Z

429

Representing Forecast Error in a Convection-Permitting Ensemble System  

Science Journals Connector (OSTI)

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

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

2014-12-01T23:59:59.000Z

430

Weather Research and Forecasting Model 2.2 Documentation  

E-Print Network (OSTI)

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

Sadjadi, S. Masoud

431

Network Bandwidth Utilization Forecast Model on High Bandwidth Network  

SciTech Connect

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

Yoo, Wucherl; Sim, Alex

2014-07-07T23:59:59.000Z

432

Wind Speed Forecasting Using a Hybrid Neural-Evolutive Approach  

Science Journals Connector (OSTI)

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

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

2009-11-01T23:59:59.000Z

433

A model for short term electric load forecasting  

E-Print Network (OSTI)

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

Tigue, John Robert

1975-01-01T23:59:59.000Z

434

Radiation fog forecasting using a 1-dimensional model  

E-Print Network (OSTI)

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

Peyraud, Lionel

2012-06-07T23:59:59.000Z

435

Annual Energy Outlook with Projections to 2025 - Forecast Comparisons  

Gasoline and Diesel Fuel Update (EIA)

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

436

Weather-based forecasts of California crop yields  

SciTech Connect

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

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

2005-09-26T23:59:59.000Z

437

Wave height forecasting in Dayyer, the Persian Gulf  

Science Journals Connector (OSTI)

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

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

2011-01-01T23:59:59.000Z

438

SEARLE SCHOLARS PROGRAM (http://www.searlescholars.net/go.php?id=23)  

E-Print Network (OSTI)

SEARLE SCHOLARS PROGRAM (http://www.searlescholars.net/go.php?id=23) The University of Pittsburgh at http://www.searlescholars.net/go.php?id=49. The University is invited to submit one nomination

Sibille, Etienne

439

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

E-Print Network (OSTI)

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

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

440

W.A. Parish Post-Combustion CO2 Capture and Sequestration Project, Final Environmental Impact Statement (DOE/EIS-0473)  

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

W.A. W.A. Parish Post-Combustion CO 2 Capture and Sequestration Project Final Environmental Impact Statement Summary February 2013 DOE/EIS-0473 Office of Fossil Energy National Energy Technology Laboratory INTENTIONALLY LEFT BLANK COVER SHEET Responsible Federal Agency: U.S. Department of Energy (DOE) Title: W.A. Parish Post-Combustion CO 2 Capture and Sequestration Project, Final Environmental Impact Statement (DOE/EIS-0473) Location: Southeastern Texas, including Fort Bend, Wharton, and Jackson counties Contacts: For further information about this Environmental Impact Statement, contact: For general information on the DOE process for implementing the National Environmental Policy Act, contact: Mark W. Lusk U.S. Department of Energy National Energy Technology Laboratory 3610 Collins Ferry Road Morgantown, WV 26507-0880 (304) 285-4145 or Mark.Lusk@netl.doe.gov

Note: This page contains sample records for the topic "forecasting wa id" 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

W.A. Parish Post-Combustion CO2 Capture and Sequestration Project, Final Environmental Impact Statement (DOE/EIS-0473)  

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

NRG W.A. PARISH PCCS PROJECT NRG W.A. PARISH PCCS PROJECT FINAL ENVIRONMENTAL IMPACT STATEMENT APPENDIX H. BEG MODELING REPORT APPENDIX H BEG MODELING REPORT DOE/EIS-0473 NRG W.A. PARISH PCCS PROJECT FINAL ENVIRONMENTAL IMPACT STATEMENT APPENDIX H. BEG MODELING REPORT INTENTIONALLY LEFT BLANK 1 Reservoir modeling and simulation for estimating migration extents of injectate-CO 2 in support of West Ranch oilfield NEPA/EIS Gulf Coast Carbon Center, Bureau of Economic Geology, Jackson School of Geosciences, The University of Texas at Austin May 4, 2012 Summary It is anticipated that anthropogenic carbon dioxide (CO2-A) will be injected into the deep (5,000-6,000 ft below sea level) subsurface for enhanced oil recovery (EOR) at the West Ranch oilfield beginning in early 2015. The purpose of this report is to present reservoir modeling and simulation

442

Psychology Insight Taster Day with British Psychology Society (ID:325)  

E-Print Network (OSTI)

Psychology Insight Taster Day with British Psychology Society (ID:325) Outline The `Psychology and Lecturers aim to give a detailed picture of the various work within Psychology and the career/training options available. These are run in conjunction with the Welsh Branch of the British Psychological Society

Harman, Neal.A.

443

Psychology Taster Days in Schools and FE Colleges (ID:317)  

E-Print Network (OSTI)

Psychology Taster Days in Schools and FE Colleges (ID:317) Outline The University's Psychology department brings its students and staff to local schools and colleges to discuss studying psychology Psychology at Higher Education level. A pre-planned programme of events will focus on Psychology as a Science

Harman, Neal.A.

444

2012 -2013 BIRTH DATE VERIFICATION STUDENT NAME: SPU ID  

E-Print Network (OSTI)

an official copy of your Birth Certificate, Passport, or Driver's License with this form and we will update2012 - 2013 BIRTH DATE VERIFICATION STUDENT NAME: SPU ID: The date of birth reported on your Free Application for Federal Student Aid (FAFSA) does not match the date of birth reported in one of the following

Nelson, Tim

445

2013 -2014 BIRTH DATE VERIFICATION STUDENT NAME: SPU ID  

E-Print Network (OSTI)

an official copy of your Birth Certificate, Passport, or Driver's License with this form and we will update2013 - 2014 BIRTH DATE VERIFICATION STUDENT NAME: SPU ID: The date of birth reported on your Free Application for Federal Student Aid (FAFSA) does not match the date of birth reported in one of the following

Nelson, Tim

446

ORNL 2010-G00976/jcn UT-B ID 200802116  

E-Print Network (OSTI)

ORNL 2010-G00976/jcn UT-B ID 200802116 Detection of Latent Prints by Raman Imaging Technology, allowing the evidence to be visualized. The technology is capable of imaging latent prints on porous and non-porous surfaces, and is especially useful for prints that are low in oil (or "clean") and children

447

https://doyouliveunited.org 1. Enter you user ID  

E-Print Network (OSTI)

Search' button. 7. Enter you search terms for the agency of your choice and click on `Search'. #12;httpshttps://doyouliveunited.org 1. Enter you user ID: your email address Enter your password: welcome be different then the options listed here. 5. For a payroll pledge, enter the amount per pay or the total

448

Student ID Number Date of birth Cell Phone  

E-Print Network (OSTI)

Name Student ID Number Date of birth Cell Phone New Housing Student Current Housing Student All's phone Crime 2 Information about charges or crime convicted of Date of conviction Court convicted in Sentence received Probation dates Probation officer's name Probation officer's phone Consent: I authorize

Pantaleone, Jim

449

Usage Codes Observer code Vessel code Trip ID  

E-Print Network (OSTI)

Usage Codes 1 5 2 6 3 7 4 8 Observer code Vessel code Trip ID Permit holder name/address Permit / N MMSI No. Y / N Present? Usage Water capacity (m3): Fuel capacity: m3 / tonnes Other: Other: Kw all that apply & note types of materials for each) Capacity: Usage Incinerator: Net mensuration Y / N

450

UCRL-ID-119170 LAWRENCE LIVERMORE NATIONAL LABORATORY  

E-Print Network (OSTI)

June 1995 UCRL-ID-119170 LAWRENCE LIVERMORE NATIONAL LABORATORY University of California · Livermore, California · 94550 Science on High-Energy Lasers: From Today to the NIF Richard W. Lee, Richard. WorkperformedundertheauspicesoftheU.S.DepartmentofEnergybyLawrenceLivermoreNationalLaboratoryunder Contract W-7405-Eng-48. #12

451

ORNL 2010-G00975/jcn UT-B ID 200802114  

E-Print Network (OSTI)

wastewater recycling ·· Electricity or hydrogen generation ·· Inexpensive ·· Versatile Potential Applications ·· Recycling of wastewater from cellulosic ethanol fermentation ·· Removal of inhibitors of the bioORNL 2010-G00975/jcn UT-B ID 200802114 Microbial Fuel Cells for Recycle of Process Water from

452

ORNL 2010-G00969/jcn UT-B ID 200802060  

E-Print Network (OSTI)

ORNL 2010-G00969/jcn UT-B ID 200802060 Carbon Nanotubes Grown on Various Fibers Technology Summary ORNL researchers invented a method for growing carbon nanotubes on the surfaces of various fiber materials, including quartz, carbon, and activated carbon fibers. These materials may have significant

453

, 1. CONTRACT ID CODE IPAG~ O F PAGES  

E-Print Network (OSTI)

·' , 1. CONTRACT ID CODE IPAG~ O F PAGES AMENDMENT OF SOLICITATION/MODIFICATION OF CONTRACT I 2 2. MODIFICATION OF CONTRACT/ ORDER NO. DUNS# 032987476 l8l DE-AC05-76RL01830 10B. DATED (SEE ITEM 13) CODE ONLY TO MODIFICATIONS OF CONTRACTS/ORDERS, IT MODIFIES THE CONTRACT/ORDER NO. AS SET FORTH IN ITEM 14

454

401(a) Investment Provider Change Form Employee Name Employee ID #  

E-Print Network (OSTI)

401(a) Investment Provider Change Form Employee Name Employee ID # Address City State Zip Code Home to an account in my name with the following Investment Provider(s): Investment Provider Percent Fidelity Investments % TIAA-CREF % The numbers above must be in whole percents only and must total 100%. If you wish

Provancher, William

455

Introduction to Health and Social Care (ID:250)  

E-Print Network (OSTI)

Introduction to Health and Social Care (ID:250) Outline This is a day event which will be designed will be given short talks from different staff about the various health and social care courses on offer details Learning outcomes: · The different health and social care courses offered at Swansea University

Harman, Neal.A.

456

Aquatic Chemistry Course Id: CHEM 605 (3 cr.)  

E-Print Network (OSTI)

Aquatic Chemistry Fall 2010 Course Id: CHEM 605 (3 cr.) Lecture: TR 3:40-5:20pm, REIC 165 of this course is to introduce students to the concepts and models used in aquatic chemistry while providing-base chemistry, complexation, precipitation-dissolution and reduction-oxidation reactions. Student Learning

Wagner, Diane

457

Article ID: Query Translation on the Fly in Deep Web  

E-Print Network (OSTI)

Article ID: Query Translation on the Fly in Deep Web Integration Jiang Fangjiao, Jia Linlin, Meng users to access the desired information, many researches have dedicated to the Deep Web (i.e. Web databases) integration. We focus on query translation which is an important part of the Deep Web integration

458

UGA ID Number Last Name First MI Academic Term THE UNIVERSITY OF GEORGIA  

E-Print Network (OSTI)

UGA ID Number Last Name First MI Academic Term THE UNIVERSITY OF GEORGIA APPLICATION TO MAKE LATE's Office UGA ID Number Last Name First MI Academic Term THE UNIVERSITY OF GEORGIA APPLICATION TO MAKE LATE's Office UGA ID Number Last Name First MI Academic Term THE UNIVERSITY OF GEORGIA APPLICATION TO MAKE LATE

Arnold, Jonathan

459

ATLAS ID Upgrade R&D Plan: Development of a Short-Strip Silicon Detector Module  

E-Print Network (OSTI)

ATLAS ID Upgrade R&D Plan: Development of a Short-Strip Silicon Detector Module and a Frontend of the optimum technology and layout of the tracking detectors for the upgraded ATLAS ID. The goal for the intermediate tracking region in the upgraded ATLAS ID. We anticipate that much of the work would then also

California at Santa Cruz, University of

460

WasteStreamForecast2010.xls  

Office of Environmental Management (EM)

Reporting Reporting Site Disposition Facility Field Stream ID Actual Dispos 2009 Starting Inventory 2010 2010 2011 2012 2013 2014 2015 to 2019 2020 to 2024 2025 to 2029 2030 to 2034 2035 to 2039 2040-50 1 Ames Energy Solutions-Clive (formerly Envirocare) 8020-01 0.00 0.00 0.00 0.00 0.00 20.00 0.00 0.00 20.00 20.00 20.00 0.00 60.00 2 Argonne Area 5 LLW Disposal Unit (NTS) AEL105DOEa 55.12 50.45 72.36 29.22 29.22 29.22 29.22 29.22 0.00 0.00 0.00 0.00 0.00 3 Argonne Area 5 LLW Disposal Unit (NTS) AEL106DOEa 0.38 0.07 0.09 0.21 0.21 0.21 0.21 0.21 0.00 0.00 0.00 0.00 0.00 4 Argonne Area 5 LLW Disposal Unit (NTS) AE-L104DOE 0.19 10.85 11.19 0.42 0.42 0.42 0.42 0.42 0.00 0.00 0.00 0.00 0.00 5 Argonne Area 5 LLW Disposal Unit (NTS) AEL103DOE 74.13 87.37 110.16 30.39 30.39 30.39 30.39 30.39 0.00 0.00 0.00 0.00 0.00 6 Argonne Area 5 LLW Disposal Unit (NTS)

Note: This page contains sample records for the topic "forecasting wa id" 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

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

Science Journals Connector (OSTI)

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

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

2015-01-01T23:59:59.000Z

462

EIA - Forecasts and Analysis of Energy Data  

Gasoline and Diesel Fuel Update (EIA)

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

463

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

SciTech Connect

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

Porter, K.; Rogers, J.

2012-04-01T23:59:59.000Z

464

A model for Long-term Industrial Energy Forecasting (LIEF)  

SciTech Connect

The purpose of this report is to establish the content and structural validity of the Long-term Industrial Energy Forecasting (LIEF) model, and to provide estimates for the model's parameters. The model is intended to provide decision makers with a relatively simple, yet credible tool to forecast the impacts of policies which affect long-term energy demand in the manufacturing sector. Particular strengths of this model are its relative simplicity which facilitates both ease of use and understanding of results, and the inclusion of relevant causal relationships which provide useful policy handles. The modeling approach of LIEF is intermediate between top-down econometric modeling and bottom-up technology models. It relies on the following simple concept, that trends in aggregate energy demand are dependent upon the factors: (1) trends in total production; (2) sectoral or structural shift, that is, changes in the mix of industrial output from energy-intensive to energy non-intensive sectors; and (3) changes in real energy intensity due to technical change and energy-price effects as measured by the amount of energy used per unit of manufacturing output (KBtu per constant $ of output). The manufacturing sector is first disaggregated according to their historic output growth rates, energy intensities and recycling opportunities. Exogenous, macroeconomic forecasts of individual subsector growth rates and energy prices can then be combined with endogenous forecasts of real energy intensity trends to yield forecasts of overall energy demand. 75 refs.

Ross, M. (Lawrence Berkeley Lab., CA (United States) Michigan Univ., Ann Arbor, MI (United States). Dept. of Physics Argonne National Lab., IL (United States). Environmental Assessment and Information Sciences Div.); Hwang, R. (Lawrence Berkeley Lab., CA (United States))

1992-02-01T23:59:59.000Z

465

A model for Long-term Industrial Energy Forecasting (LIEF)  

SciTech Connect

The purpose of this report is to establish the content and structural validity of the Long-term Industrial Energy Forecasting (LIEF) model, and to provide estimates for the model`s parameters. The model is intended to provide decision makers with a relatively simple, yet credible tool to forecast the impacts of policies which affect long-term energy demand in the manufacturing sector. Particular strengths of this model are its relative simplicity which facilitates both ease of use and understanding of results, and the inclusion of relevant causal relationships which provide useful policy handles. The modeling approach of LIEF is intermediate between top-down econometric modeling and bottom-up technology models. It relies on the following simple concept, that trends in aggregate energy demand are dependent upon the factors: (1) trends in total production; (2) sectoral or structural shift, that is, changes in the mix of industrial output from energy-intensive to energy non-intensive sectors; and (3) changes in real energy intensity due to technical change and energy-price effects as measured by the amount of energy used per unit of manufacturing output (KBtu per constant $ of output). The manufacturing sector is first disaggregated according to their historic output growth rates, energy intensities and recycling opportunities. Exogenous, macroeconomic forecasts of individual subsector growth rates and energy prices can then be combined with endogenous forecasts of real energy intensity trends to yield forecasts of overall energy demand. 75 refs.

Ross, M. [Lawrence Berkeley Lab., CA (United States)]|[Michigan Univ., Ann Arbor, MI (United States). Dept. of Physics]|[Argonne National Lab., IL (United States). Environmental Assessment and Information Sciences Div.; Hwang, R. [Lawrence Berkeley Lab., CA (United States)

1992-02-01T23:59:59.000Z

466

An assessment of electrical load forecasting using artificial neural network  

Science Journals Connector (OSTI)

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

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

2012-01-01T23:59:59.000Z

467

U-063: RSA SecurID Software Token for Windows DLL Loading Error Lets Remote  

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

3: RSA SecurID Software Token for Windows DLL Loading Error 3: RSA SecurID Software Token for Windows DLL Loading Error Lets Remote Users Execute Arbitrary Code U-063: RSA SecurID Software Token for Windows DLL Loading Error Lets Remote Users Execute Arbitrary Code December 16, 2011 - 8:00am Addthis PROBLEM: RSA SecurID Software Token for Windows DLL Loading Error Lets Remote Users Execute Arbitrary Code. PLATFORM: RSA SecurID Software Token 4.1 for Microsoft Windows ABSTRACT: A remote user can cause the target application to execute arbitrary code on the target user's system. reference LINKS: SecurityTracker Alert ID: 1026426 ESA-2011-039 Secunia Advisory: SA45665 Securityfocus Advisory CVE-2011-4141 RSA Online Fraud Resource Center IMPACT ASSESSMENT: High Discussion: A vulnerability was reported in RSA SecurID Software Token. A remote user

468

U-063: RSA SecurID Software Token for Windows DLL Loading Error Lets Remote  

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

63: RSA SecurID Software Token for Windows DLL Loading Error 63: RSA SecurID Software Token for Windows DLL Loading Error Lets Remote Users Execute Arbitrary Code U-063: RSA SecurID Software Token for Windows DLL Loading Error Lets Remote Users Execute Arbitrary Code December 16, 2011 - 8:00am Addthis PROBLEM: RSA SecurID Software Token for Windows DLL Loading Error Lets Remote Users Execute Arbitrary Code. PLATFORM: RSA SecurID Software Token 4.1 for Microsoft Windows ABSTRACT: A remote user can cause the target application to execute arbitrary code on the target user's system. reference LINKS: SecurityTracker Alert ID: 1026426 ESA-2011-039 Secunia Advisory: SA45665 Securityfocus Advisory CVE-2011-4141 RSA Online Fraud Resource Center IMPACT ASSESSMENT: High Discussion: A vulnerability was reported in RSA SecurID Software Token. A remote user

469

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

Science Journals Connector (OSTI)

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

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

2014-02-01T23:59:59.000Z

470

Corinna Cisneros, S.M. Golam Mortuza, and Soumik Banerjee School of Mechanical and Materials Engineering, Washington State University, Pullman, WA 99163  

E-Print Network (OSTI)

Engineering, Washington State University, Pullman, WA 99163 Organic Photovoltaic Solar Cells: A Molecular of fossil fuel resources has lead to global energy crisis with an increasing effort in the scientific community to develop renewable energy technologies. Solar cell technology has generated significant

Collins, Gary S.

471

Proc. of the ACM Int'l. Symp on Softw. Testing and Analysis, Seattle, WA, August 1994, pages 169184. Selecting Tests and Identifying Test Coverage Requirements for  

E-Print Network (OSTI)

of structural coverage crite­ ria. Our technique partitions an existing test suite into two subsets: testsProc. of the ACM Int'l. Symp on Softw. Testing and Analysis, Seattle, WA, August 1994, pages 169­184. Selecting Tests and Identifying Test Coverage Requirements for Modified Software* Gregg Rothermel and Mary

Rothermel, Gregg

472

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

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

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

473

Forecasting correlated time series with exponential smoothing models  

Science Journals Connector (OSTI)

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

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

2011-01-01T23:59:59.000Z

474

Application of GIS on forecasting water disaster in coal mines  

SciTech Connect

In many coal mines of China, water disasters occur very frequently. It is the most important problem that water gets inrush into drifts and coal faces, locally known as water gush, during extraction and excavation. Its occurrence is controlled by many factors such as geological, hydrogeological and mining technical conditions, and very difficult to be predicted and prevented by traditional methods. By making use of overlay analysis of Geographic Information System, a multi-factor model can be built to forecast the potential of water gush. This paper introduced the method of establishment of the water disaster forecasting system and forecasting model and two practical successful cases of application in Jiaozuo and Yinzhuang coal mines. The GIS proved helpful for ensuring the safety of coal mines.

Sun Yajun; Jiang Dong; Ji Jingxian [China Univ. of Mining and Technology, Jiangshy (China)] [and others

1996-08-01T23:59:59.000Z

475

Microsoft Word - DOE-ID-INL-12-021.docx  

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

DOE-ID-INL-12-021 DOE-ID-INL-12-021 SECTION A. Project Title: High Frequency Sounder - Permanent Installation at Water Reactor Research Test Facility (WRRTF) SECTION B. Project Description: The scope of this project is to construct and operate a 150-watt high frequency (HF) radio antenna (both transmit and receive) within the fenced area of the former Water Reactor Research Test Facility (WRRTF) to support various wireless test bed (WTB) activities and increase WTB capabilities by measuring the ionospheric characteristics of the region. The measurements are used to generate propagation maps of the ionosphere to graphically illustrate what HF frequencies are effective for communications. Construction is scheduled to take place in the August-September 2012 timeframe with operation beginning in October 2012.

476

Microsoft Word - DOE-ID-INL-13-007.doc  

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

8 8 EC Document No.: DOE-ID-INL-13-007 SECTION A. Project Title: Seismic Monitoring for Seismic Hazards Analyses SECTION B. Project Description: The Idaho National Laboratory (INL) Probabilistic Seismic Hazards Analysis (PSHA) Phase I - Data Collection and Evaluation project is being conducted by Battelle Energy Alliance (BEA) at the request of the U.S. Department of Energy Idaho Operations office (DOE-ID) and INL Management. The project is being conducted from FY-2013 to FY-2017. Earthquake data will be collected at seismic stations located near INL facility areas for at least two years using seismometers and for the long-term using accelerometers. Installation of the seismic stations is being funded by the INL PSHA - Data Collection and Evaluation project and, following completion of this project,

477

DOE-ID Procurement Services � the action team  

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

DOE-ID Procurement Services � the action team DOE-ID Procurement Services � the action team Passage of the American Recovery and Reinvestment Act of 2009 included billions of dollars in additional funding for energy efficiency improvements to U.S. homes and businesses. By early July, the U.S. Department of Energy was hard pressed to get that funding to the communities who needed it to reduce their power bills. That�s when DOE�s Office of Energy Efficiency asked the department�s Idaho Operations Office for support from DOE-ID�s Procurement Services team. Rapid response Pat Alexander-Johnson (top) and Jeff Fogg (bottom) are two highly-trained and experienced contract specialists with the U.S. Department of Energy's Idaho Operations Office. Within moments of receiving its orders, the 10-member team shifted into

478

Microsoft Word - DOE-ID-INL-12-024..doc  

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

PostingNo.: DOE-ID-INL-12-024 PostingNo.: DOE-ID-INL-12-024 SECTION A. Project Title: Rigby Bus Lot Northwest Entrance SECTION B. Project Description: The purpose of the proposed action is to provide an additional bus entrance to the Rigby Park and Ride Bus Lot. A portion of chain link fencing (running east to west) on the northwest corner of the Rigby Park and Ride Bus Lot would be relocated to allow an opening off of the City of Rigby dirt access road so that buses may enter the Rigby Park and Ride Lot from the northwest. The existing fence material would then be placed across the City of Rigby dirt access road (running north and south). The new entrance would be for buses only. Approximately 4 to 6 buses would use this entrance. No personnel vehicles will have access. Buses would start using the new

479

Microsoft Word - DOE-ID-INL-12-012.docx  

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

ECX Posting No.: DOE-ID-INL-12-012 ECX Posting No.: DOE-ID-INL-12-012 SECTION A. Project Title: Film Processing Project at Test Reactor Area (TRA)-678 SECTION B. Project Description The proposed action is to install a silver recovery unit to the film processor in the film processing area at TRA-678 for the purpose of minimizing waste generation and implementing pollution prevention. The proposed film processor (Kodak M-35A) generates approximately 90 ml of developer and 140 ml of fixer effluents per 17 inch film and approximately 40 gallons per hour of rinse water effluent. Developer and fixer effluents from the current film processing equipment are being collected in a Satellite Accumulation Area (SAA). The new equipment would eliminate the need for storing the effluent in the SAA by filtering silver from the effluent for recycling. The remaining

480

Microsoft Word - DOE-ID-INL-12-018.doc  

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

8 8 SECTION A. Project Title: Rexburg Bus Lot (B60-1789-D-NE) Lease Termination SECTION B. Project Description: The proposed activity will terminate the lease of approximately four bus spaces at the Rexburg Parking Lot (B60-1789-D-NE) at South 5 th West in Rexburg, ID on or about July 31, 2012 for cost savings and consolidation to the existing lot at Rigby, ID. A facility walkthrough by BEA personnel will be performed in order to ensure the facility is ready for turnover back to the owner. Approximate cost associated with the activity is estimated at $1,500.00. SECTION C. Environmental Aspects / Potential Sources of Impact: Transacting real property in Rexburg, Idaho and moving four buses to a lot in Rigby, Idaho will not affect any INL environmental

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


481

File:INL-geothermal-id.pdf | Open Energy Information  

Open Energy Info (EERE)

id.pdf id.pdf Jump to: navigation, search File File history File usage Idaho Geothermal Resources Size of this preview: 380 × 600 pixels. Full resolution ‎(3,458 × 5,456 pixels, file size: 1.67 MB, MIME type: application/pdf) Description Idaho Geothermal Resources Sources Idaho National Laboratory Authors Patrick Laney; Julie Brizzee Related Technologies Geothermal Creation Date 2003-11-01 Extent State Countries United States UN Region Northern America States Idaho File history Click on a date/time to view the file as it appeared at that time. Date/Time Thumbnail Dimensions User Comment current 12:24, 16 December 2010 Thumbnail for version as of 12:24, 16 December 2010 3,458 × 5,456 (1.67 MB) MapBot (Talk | contribs) Automated upload from NREL's "mapsearch" data

482

Microsoft Word - DOE-ID-INL-12-018.doc  

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

8 8 SECTION A. Project Title: Rexburg Bus Lot (B60-1789-D-NE) Lease Termination SECTION B. Project Description: The proposed activity will terminate the lease of approximately four bus spaces at the Rexburg Parking Lot (B60-1789-D-NE) at South 5 th West in Rexburg, ID on or about July 31, 2012 for cost savings and consolidation to the existing lot at Rigby, ID. A facility walkthrough by BEA personnel will be performed in order to ensure the facility is ready for turnover back to the owner. Approximate cost associated with the activity is estimated at $1,500.00. SECTION C. Environmental Aspects / Potential Sources of Impact: Transacting real property in Rexburg, Idaho and moving four buses to a lot in Rigby, Idaho will not affect any INL environmental

483

Microsoft Word - DOE-ID-INL-12-021.docx  

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

DOE-ID-INL-12-021 DOE-ID-INL-12-021 SECTION A. Project Title: High Frequency Sounder - Permanent Installation at Water Reactor Research Test Facility (WRRTF) SECTION B. Project Description: The scope of this project is to construct and operate a 150-watt high frequency (HF) radio antenna (both transmit and receive) within the fenced area of the former Water Reactor Research Test Facility (WRRTF) to support various wireless test bed (WTB) activities and increase WTB capabilities by measuring the ionospheric characteristics of the region. The measurements are used to generate propagation maps of the ionosphere to graphically illustrate what HF frequencies are effective for communications. Construction is scheduled to take place in the August-September 2012 timeframe with operation beginning in October 2012.

484

Microsoft Word - DOE-ID-INL-12-003.docx  

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

EC Document No.: DOE-ID-INL-12-003 EC Document No.: DOE-ID-INL-12-003 SECTION A. Project Title: Auxiliary Canal Fill Project at Test Reactor Area (TRA)-670 SECTION B. Project Description: Although the ATR canal meets all design basis criteria, lessons learned following the earthquake and tsunami events at the Fukushima- Daiichi Nuclear Power Plant in March of 2011 indicate that an auxiliary water supply to the fuel storage canal with a fill connection located outside of the facility would have been valuable following the beyond design basis event. As a result of these lessons learned, the Department of Energy (DOE) has allocated additional funding to the Idaho National Laboratory (INL) to mitigate beyond design basis events similar to the Fukushima-Daiichi disaster. The Auxiliary Canal Fill Project is one of the projects being funded from this

485

Microsoft Word - DOE-ID-INL-12-012.docx  

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

ECX Posting No.: DOE-ID-INL-12-012 ECX Posting No.: DOE-ID-INL-12-012 SECTION A. Project Title: Film Processing Project at Test Reactor Area (TRA)-678 SECTION B. Project Description The proposed action is to install a silver recovery unit to the film processor in the film processing area at TRA-678 for the purpose of minimizing waste generation and implementing pollution prevention. The proposed film processor (Kodak M-35A) generates approximately 90 ml of developer and 140 ml of fixer effluents per 17 inch film and approximately 40 gallons per hour of rinse water effluent. Developer and fixer effluents from the current film processing equipment are being collected in a Satellite Accumulation Area (SAA). The new equipment would eliminate the need for storing the effluent in the SAA by filtering silver from the effluent for recycling. The remaining

486

Microsoft Word - DOE-ID-INL-10-020.doc  

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

DOE-ID-INL-10-020 DOE-ID-INL-10-020 SECTION A. Project Title: Idaho National Laboratory (INL) Routine Maintenance Activities (Overarching) SECTION B. Project Description: The purpose of this overarching Environmental Checklist (EC) is to address activities that would meet the intent of the categorical exclusion (CX) B1.3 as described in 10 CFR 1021, Appendix B to Subpart D. These activities would consist of typical and non-typical types of actions, such as routine maintenance, minor modifications, and custodial service activities required to support safe and efficient plant operation, even if performed on an infrequent basis, and would occur on the INL Site and at those in town (Idaho Falls) facilities. These activities would be performed by INL Facility and Site Services personnel or off-site contractors. None of these activities would

487

Microsoft Word - DOE-ID-INL-13-007.doc  

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

8 8 EC Document No.: DOE-ID-INL-13-007 SECTION A. Project Title: Seismic Monitoring for Seismic Hazards Analyses SECTION B. Project Description: The Idaho National Laboratory (INL) Probabilistic Seismic Hazards Analysis (PSHA) Phase I - Data Collection and Evaluation project is being conducted by Battelle Energy Alliance (BEA) at the request of the U.S. Department of Energy Idaho Operations office (DOE-ID) and INL Management. The project is being conducted from FY-2013 to FY-2017. Earthquake data will be collected at seismic stations located near INL facility areas for at least two years using seismometers and for the long-term using accelerometers. Installation of the seismic stations is being funded by the INL PSHA - Data Collection and Evaluation project and, following completion of this project,

488

Microsoft Word - DOE-ID-INL-10-017.doc  

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

DOE-ID-INL-10-017 DOE-ID-INL-10-017 SECTION A. Project Title: ATR Complex Dial Room. SECTION B. Project Description: The proposed project is to construct and operate a new dial room at the Advanced Test Reactor Complex (ATR Complex) (formerly known as the Test Reactor Area [TRA]) in order to meet the U.S. Department of Energy Office of Nuclear Energy programmatic needs and to provide ongoing critical support at the Idaho National Laboratory (INL). The existing telecommunication and data systems located at the ATR Complex need to be updated to ensure the protection and continuity of telecommunications hardware and software property and provide reliability of communications and data connectivity. The new modular dial room facility will replace existing telecommunications systems equipment (telephony, optical transport, and data network infrastructure

489

Microsoft Word - DOE-ID-INL-10-020.doc  

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

DOE-ID-INL-10-020 DOE-ID-INL-10-020 SECTION A. Project Title: Idaho National Laboratory (INL) Routine Maintenance Activities (Overarching) SECTION B. Project Description: The purpose of this overarching Environmental Checklist (EC) is to address activities that would meet the intent of the categorical exclusion (CX) B1.3 as described in 10 CFR 1021, Appendix B to Subpart D. These activities would consist of typical and non-typical types of actions, such as routine maintenance, minor modifications, and custodial service activities required to support safe and efficient plant operation, even if performed on an infrequent basis, and would occur on the INL Site and at those in town (Idaho Falls) facilities. These activities would be performed by INL Facility and Site Services personnel or off-site contractors. None of these activities would

490

Microsoft Word - DOE-ID-INL-12-016.doc  

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

No.: DOE-ID-INL-12-016 No.: DOE-ID-INL-12-016 SECTION A. Project Title: Reverse Osmosis System Removal SECTION B. Project Description: The project will remove a reverse osmosis water treatment system (FU-HA-101) from TAN 681 room 182. The system is out-of-service, with no intent of future use. Work will involve removal of the reverse osmosis system, and associated plumbing/piping and electrical lines and conduit. The project will clear the area of obstacles and tripping hazards associated with unused/unnecessary equipment and utilities. SECTION C. Environmental Aspects / Potential Sources of Impact: Generating and Managing Waste: Project activities will result in generation of an estimated 90 cubic ft. of low-level radioactive waste. Wastes will be characterized and dispositioned through Waste Generator Services. Reuse and recycling of materials will be practiced

491

Boeing issues smart ID cards to its employees  

Science Journals Connector (OSTI)

Boeing, one of the worlds leading aerospace companies, is embarking on an ambitious plan to roll out over 200,000 corporate smart ID cards to its staff globally. The project, once implemented, would be one of the worlds largest deployments of such technology by a private corporation. This is a short news story only. Visit www.compseconline.com for the latest computer security news.

2003-01-01T23:59:59.000Z

492

NREL: Energy Analysis - Energy Forecasting and Modeling Staff  

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

Energy Forecasting and Modeling Energy Forecasting and Modeling The following includes summary bios of staff expertise and interests in analysis relating to energy economics, energy system planning, risk and uncertainty modeling, and energy infrastructure planning. Team Lead: Nate Blair Administrative Support: Geraly Amador Clayton Barrows Greg Brinkman Brian W Bush Stuart Cohen Carolyn Davidson Paul Denholm Victor Diakov Aron Dobos Easan Drury Kelly Eurek Janine Freeman Marissa Hummon Jennie Jorganson Jordan Macknick Trieu Mai David Mulcahy David Palchak Ben Sigrin Daniel Steinberg Patrick Sullivan Aaron Townsend Laura Vimmerstedt Andrew Weekley Owen Zinaman Photo of Clayton Barrows. Clayton Barrows Postdoctoral Researcher Areas of expertise Power system modeling Primary research interests Power and energy systems

493

Conceptual design of a geothermal site development forecasting system  

SciTech Connect

A site development forecasting system has been designed in response to the need to monitor and forecast the development of specific geothermal resource sites for electrical power generation and direct heat applications. The system is comprised of customized software, a site development status data base, and a set of complex geothermal project development schedules. The system would use site-specific development status information obtained from the Geothermal Progress Monitor and other data derived from economic and market penetration studies to produce reports on the rates of geothermal energy development, federal agency manpower requirements to ensure these developments, and capital expenditures and technical/laborer manpower required to achieve these developments.

Neham, E.A.; Entingh, D.J.

1980-03-01T23:59:59.000Z

494

CCPP-ARM Parameterization Testbed Model Forecast Data  

DOE Data Explorer (OSTI)

Dataset contains the NCAR CAM3 (Collins et al., 2004) and GFDL AM2 (GFDL GAMDT, 2004) forecast data at locations close to the ARM research sites. These data are generated from a series of multi-day forecasts in which both CAM3 and AM2 are initialized at 00Z every day with the ECMWF reanalysis data (ERA-40), for the year 1997 and 2000 and initialized with both the NASA DAO Reanalyses and the NCEP GDAS data for the year 2004. The DOE CCPP-ARM Parameterization Testbed (CAPT) project assesses climate models using numerical weather prediction techniques in conjunction with high quality field measurements (e.g. ARM data).

Klein, Stephen

495

Forecast of contracting and subcontracting opportunities. Fiscal year 1996  

SciTech Connect

This forecast of prime and subcontracting opportunities with the U.S. Department of Energy and its MAO contractors and environmental restoration and waste management contractors, is the Department`s best estimate of small, small disadvantaged and women-owned small business procurement opportunities for fiscal year 1996. The information contained in the forecast is published in accordance with Public Law 100-656. It is not an invitation for bids, a request for proposals, or a commitment by DOE to purchase products or services. Each procurement opportunity is based on the best information available at the time of publication and may be revised or cancelled.

NONE

1996-02-01T23:59:59.000Z

496

Sales forecasting strategies for small businesses: an empirical investigation of statistical and judgemental methods  

Science Journals Connector (OSTI)

This study evolved from the mixed results shown in the reviewed forecasting literature and from the lack of sufficient forecasting research dealing with micro data. The main purpose of this study is to investigate and compare the accuracy of different quantitative and qualitative forecasting techniques, and to recommend a forecasting strategy for small businesses. Emphasis is placed on the testing of combining as a tool to improve forecasting accuracy. Of particular interest is whether combining time series and judgemental forecasts provides more accurate results than individual methods. A case study of a small business was used for this purpose to assess the accuracy and applicability of combining forecasts. The evidence indicates that combining qualitative and quantitative methods results in better and improved forecasts.

Imad J. Zbib

2006-01-01T23:59:59.000Z

497

Forecasting 65+ travel : an integration of cohort analysis and travel demand modeling  

E-Print Network (OSTI)

Over the next 30 years, the Boomers will double the 65+ population in the United States and comprise a new generation of older Americans. This study forecasts the aging Boomers' travel. Previous efforts to forecast 65+ ...

Bush, Sarah, 1973-

2003-01-01T23:59:59.000Z

498

Distributed quantitative precipitation forecasts combining information from radar and numerical weather prediction model outputs  

E-Print Network (OSTI)

Applications of distributed Quantitative Precipitation Forecasts (QPF) range from flood forecasting to transportation. Obtaining QPF is acknowledged to be one of the most challenging areas in hydrology and meteorology. ...

Ganguly, Auroop Ratan

2002-01-01T23:59:59.000Z

499

A Comparison of Measures-Oriented and Distributions-Oriented Approaches to Forecast Verification  

Science Journals Connector (OSTI)

The authors have carried out verification of 590 1224-h high-temperature forecasts from numerical guidance products and human forecasters for Oklahoma City, Oklahoma, using both a measures-oriented verification scheme and a distributions-...

Harold E. Brooks; Charles A. Doswell III

1996-09-01T23:59:59.000Z

500

Correspondence among the Correlation, RMSE, and Heidke Forecast Verification Measures; Refinement of the Heidke Score  

Science Journals Connector (OSTI)

The correspondence among the following three forecast verification scores, based on forecasts and their associated observations, is described: 1) the correlation score, 2) the root-mean-square error (RMSE) score, and 3) the Heidke score (based on ...

Anthony G. Barnston

1992-12-01T23:59:59.000Z