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1

Fuel Ethanol Total Stocks Stocks by Type  

U.S. Energy Information Administration (EIA)

Stock Type: Download Series History: Definitions, Sources & Notes: Show Data By: Product: Stock Type: Area: Feb-13 Mar-13 Apr-13 May-13 Jun-13 Jul-13 View History; U ...

2

Crude Oil Total Stocks Stocks by Type  

U.S. Energy Information Administration (EIA)

-No Data Reported; --= Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Notes: Crude oil stocks in the ...

3

Lubricants Total Stocks Stocks by Type  

U.S. Energy Information Administration (EIA)

-No Data Reported; --= Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Notes: Crude oil stocks in the ...

4

Stocks of Total Motor Gasoline  

U.S. Energy Information Administration (EIA)

-No Data Reported; --= Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Notes: Stocks include those ...

5

U.S. Total Stocks  

Annual Energy Outlook 2012 (EIA)

Show Data By: Product Stock Type Area Apr-13 May-13 Jun-13 Jul-13 Aug-13 Sep-13 View History Crude Oil and Petroleum Products 1,806,501 1,817,459 1,817,679 1,817,508 1,820,533...

6

Propane/Propylene Total Stocks Stocks by Type  

U.S. Energy Information Administration (EIA)

Stock Type: Download Series History: Definitions, Sources & Notes: Show Data By: Product: Stock Type: Area: Jan-13 Feb-13 Mar-13 Apr-13 May-13 Jun-13 View History; U ...

7

Naphtha for Petrochemical Feedstock Use Total Stocks Stocks by Type  

U.S. Energy Information Administration (EIA)

Stock Type: Download Series History: Definitions, Sources & Notes: Show Data By: Product: Stock Type: Area: Jan-13 Feb-13 Mar-13 Apr-13 May-13 Jun-13 View History; U ...

8

Asphalt and Road Oil Total Stocks Stocks by Type  

U.S. Energy Information Administration (EIA)

Stock Type: Download Series History: Definitions, Sources & Notes: Show Data By: Product: Stock Type: Area: Feb-13 Mar-13 Apr-13 May-13 Jun-13 Jul-13 View History; U ...

9

Crude Oil and Petroleum Products Total Stocks Stocks by Type  

U.S. Energy Information Administration (EIA)

Stock Type: Download Series History: Definitions, Sources & Notes: Show Data By: Product: Stock Type: Area: 2007 2008 2009 2010 2011 2012 View History; U.S. 1,665,345 ...

10

Motor Gasoline Blending Components Total Stocks Stocks by Type  

U.S. Energy Information Administration (EIA)

-No Data Reported; --= Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Notes: Crude oil stocks in the ...

11

Ethane/Ethylene Total Stocks Stocks by Type  

U.S. Energy Information Administration (EIA)

-No Data Reported; --= Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Notes: Crude oil stocks in the ...

12

Reformulated GTAB Gasoline Blending Components Total Stocks Stocks ...  

U.S. Energy Information Administration (EIA)

-No Data Reported; --= Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Notes: Crude oil stocks in the ...

13

Crude Oil and Petroleum Products Total Stocks Stocks by Type  

U.S. Energy Information Administration (EIA)

-No Data Reported; --= Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Notes: Crude oil stocks in the ...

14

Unfinished Oils - Naphthas and Lighter Total Stocks Stocks by Type  

U.S. Energy Information Administration (EIA)

-No Data Reported; --= Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Notes: Crude oil stocks in the ...

15

Unfinished Oils - Heavy Gas Oils Total Stocks Stocks by Type  

U.S. Energy Information Administration (EIA)

-No Data Reported; --= Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Notes: Crude oil stocks in the ...

16

Residual Fuel Oil Total Stocks Stocks by Type  

U.S. Energy Information Administration (EIA)

-No Data Reported; --= Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Notes: Crude oil stocks in the ...

17

Normal Butane/Butylene Total Stocks Stocks by Type  

U.S. Energy Information Administration (EIA)

-No Data Reported; --= Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Notes: Crude oil stocks in the ...

18

Gulf Coast (PADD 3) Total Stocks  

U.S. Energy Information Administration (EIA)

-No Data Reported; --= Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Notes: Crude oil stocks in the ...

19

,"Crude Oil and Petroleum Products Total Stocks Stocks by Type"  

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

Total Stocks Stocks by Type" Total Stocks Stocks by Type" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Crude Oil and Petroleum Products Total Stocks Stocks by Type",6,"Monthly","9/2013","1/15/1956" ,"Release Date:","11/27/2013" ,"Next Release Date:","Last Week of December 2013" ,"Excel File Name:","pet_stoc_typ_a_ep00_sae_mbbl_m.xls" ,"Available from Web Page:","http://www.eia.gov/dnav/pet/pet_stoc_typ_a_ep00_sae_mbbl_m.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.gov"

20

West Coast (PADD 5) Total Stocks  

U.S. Energy Information Administration (EIA)

Stock Type: Area: Jan-13 Feb-13 Mar-13 Apr-13 May-13 Jun-13 View History; Crude Oil and Petroleum Products: 148,209: 144,699: 141,778: 140,755: 140,174: 142,146: 1981 ...

Note: This page contains sample records for the topic "bureau total stocks" 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

U.S. Propane Total Stocks  

Gasoline and Diesel Fuel Update (EIA)

9 9 Notes: U.S. inventories of propane benefited from a late pre-season build that pushed inventories to over 65 million barrels by early November 2000, the second highest peak pre-heating season level since 1986. Although propane inventories were expected to remain within the normal range for the duration of the 2000-01 heating season, cold weather in November and December, along with recently high natural gas prices that discouraged propane production from gas processing, resulted in stocks falling below the normal range by the end of December. However, if the weather remains seasonally normal, and the recent decline in natural gas prices holds, EIA expects the propane inventory drawdown to slow. This is reflected in the data for January 19, which showed a draw of only 2.1 million barrels, compared to more than twice that

22

Stocks of Total Crude Oil and Petroleum Products (Excl. SPR)  

U.S. Energy Information Administration (EIA)

-No Data Reported; --= Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Notes: Stocks include those ...

23

East Coast (PADD 1) Total Stocks - Energy Information Administration  

U.S. Energy Information Administration (EIA)

-No Data Reported; --= Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Notes: Crude oil stocks in the ...

24

Stocks of Total Crude Oil and Petroleum Products (Including SPR)  

U.S. Energy Information Administration (EIA)

-No Data Reported; --= Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Notes: Stocks include those ...

25

Midwest (PADD 2) Total Stocks - Energy Information Administration  

U.S. Energy Information Administration (EIA)

-No Data Reported; --= Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Notes: Crude oil stocks in the ...

26

Stocks of Total Motor Gasoline - Energy Information Administration  

U.S. Energy Information Administration (EIA)

-No Data Reported; --= Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Notes: Stocks include those ...

27

Crude Oil Total Stocks Stocks by Type - U.S. Energy Information ...  

U.S. Energy Information Administration (EIA)

-No Data Reported; --= Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Notes: Crude oil stocks in the ...

28

Low Total OECD Oil Stocks* Keep Market Balance Tight  

Gasoline and Diesel Fuel Update (EIA)

5 5 Notes: This chart illustrates why EIA sees crude oil prices staying relatively high. It shows global inventories, as measured by OECD petroleum stocks. EIA sees a tenuous supply/demand balance over the remainder of 2001. Global inventories remain low, and need to recover to more adequate levels of forward demand coverage in order to avoid continued price volatility. The most recent data show OECD inventories remaining at very low levels. Low inventories increase the potential for price volatility throughout 2001. Inventories are a good measure of the supply/demand balance that affects prices. A large over-supply (production greater than demand) will put downward pressure on prices, while under-supply will push prices upward. OECD inventories illustrate the changes in the world petroleum

29

U.S. Total Stocks of Crude Oil and Petroleum Products  

U.S. Energy Information Administration (EIA)

-No Data Reported; --= Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Notes: Stocks include those ...

30

Do Innovations Really Pay Off? Total Stock Market Returns to Innovation  

Science Conference Proceedings (OSTI)

Critics often decry an earnings-focused short-term orientation of management that eschews spending on risky, long-term projects such as innovation to boost a firm's stock price. Such critics assume that stock markets react positively to announcements ... Keywords: Fama-French 3-factor model, event study, high-tech marketing, innovation, market returns

Ashish Sood; Gerard J. Tellis

2009-05-01T23:59:59.000Z

31

U.S. Total Stocks of Crude Oil and Petroleum Products  

U.S. Energy Information Administration (EIA)

History; Total Crude Oil and Petroleum Products (Incl. SPR) 1,793,174: 1,806,501: 1,817,459: 1,817,679: 1,817,508: 1,820,533: 1956-2013:

32

U.S. Total Stocks of Crude Oil and Petroleum Products  

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

Area: U.S. PADD 1 New England Central Atlantic Lower Atlantic PADD 2 Cushing, Oklahoma PADD 3 PADD 4 PADD 5 PADD's 4 & 5 Period: Weekly Monthly Annual Area: U.S. PADD 1 New England Central Atlantic Lower Atlantic PADD 2 Cushing, Oklahoma PADD 3 PADD 4 PADD 5 PADD's 4 & 5 Period: Weekly Monthly Annual Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & Notes Show Data By: Product Area 11/08/13 11/15/13 11/22/13 11/29/13 12/06/13 12/13/13 View History Total Crude Oil and Petroleum Products (Incl. SPR) 1,806,930 1,795,196 1,793,557 1,786,470 1,781,747 1,769,150 1990-2013 Total Crude Oil and Petroleum Products (Excl. SPR) 1,110,961 1,099,227 1,097,588 1,090,501 1,085,778 1,073,181 1990-2013 Crude Oil (Including SPR) 1,084,057 1,084,432 1,087,385 1,081,800 1,071,215 1,068,274 1982-2013 Commercial Crude Oil

33

Stocks of Propane/Propylene  

U.S. Energy Information Administration (EIA)

Stocks held at natural gas processing plants are included in "Other Oils" and in totals. All stock levels are as of the end of the period.

34

Total OECD Oil Stocks*  

Gasoline and Diesel Fuel Update (EIA)

6 6 Notes: The most recent data show OECD inventories remaining at very low levels. EIA expects inventories to remain low through the coming year. This increases the potential for price volatility through the rest of the winter, and into the next gasoline season. Inventories are a good measure of the supply/demand balance that affects prices. A large over-supply (production greater than demand) will put downward pressure on prices, while under-supply will push prices upward. As global oil production changed relative to demand, the world moved from a period of over-supply in 1998 to one of under-supply in 1999 and 2000. OECD inventories illustrate the changes in the world petroleum balance. OECD inventories rose to high levels during 1997 and 1998 when production exceeded demand and prices dropped to around $10 per barrel in

35

Total OECD Oil Stocks*  

Gasoline and Diesel Fuel Update (EIA)

The most recent data show OECD inventories remaining at very low The most recent data show OECD inventories remaining at very low levels. EIA expects inventories to remain low through the coming year. This increases the potential for price volatility through the winter, and even extending to the next gasoline season. Inventories are a good measure of the supply/demand balance that effects prices. A large over-supply (production greater than demand) will put downward pressure on prices, while under-supply will push prices upward. As global oil production changed relative to demand, the world moved from a period of over-supply in 1998 to one of under-supply in 1999 and 2000. OECD inventories illustrate the changes in the world petroleum balance. OECD inventories rose to high levels during 1997 and 1998 when production exceeded demand and prices dropped to around $10 per barrel in

36

Total OECD Oil Stocks*  

Gasoline and Diesel Fuel Update (EIA)

9 9 Notes: The most recent data show OECD inventories remaining at very low levels. EIA expects inventories to remain low through the coming year. This increases the potential for price volatility through the winter, and even extending to the next gasoline season. Inventories are a good measure of the supply/demand balance that effects prices. A large over-supply (production greater than demand) will put downward pressure on prices, while under-supply will push prices upward. As global oil production changed relative to demand, the world moved from a period of over-supply in 1998 to one of under-supply in 1999 and 2000. OECD inventories illustrate the changes in the world petroleum balance. OECD inventories rose to high levels during 1997 and 1998 when production exceeded demand and prices dropped to around $10 per barrel in

37

Total OECD Oil Stocks*  

Gasoline and Diesel Fuel Update (EIA)

7 7 Notes: As global production changed relative to demand, the world moved from a period of "over supply" in 1998 to one of "under supply" in 1999 and 2000. Inventories are a good means of seeing the imbalance between petroleum production and demand. For example, when production exceeds demand, inventories rise. A large over supply will put downward pressure on prices, while under supply will cause prices to rise. OECD inventories illustrate the changes in the world petroleum balance. OECD inventories rose to high levels during 1997 and 1998 when production exceeded demand and prices dropped to around $10 per barrel in December 1998. However, when demand exceeded production in 1999 and early 2000, inventories fell to the low levels seen above, and prices rose to $35 per

38

Total OECD Oil Stocks  

Gasoline and Diesel Fuel Update (EIA)

5 Notes: OECD oil inventory levels are not expected to rise sufficiently during the rest of the year to match the average levels seen prior to the wide swings since 1995. This...

39

BUREAU OF MINES  

E-Print Network (OSTI)

Mines to conduct mineral surveys on U.S. Bureau of Land Management administered land designated as Wilderness Study Areas " •.. to determine the mineral values, if any, that may be present...." Results must be made available to the public and be submitted to the President and the Congress. This report presents the results of a Bureau of Mines mineral survey of a portion of the Clan Alpine Mountains Wilderness Study Area (NV-030-l02), Churchill County, NV. This open-file report will be summarized in a joint report published by the U.S. Geological Survey. The data were gathered and interpreted by Bureau of Mines personnel from Western Field Operations Center, E. 360 Third Avenue, Spokane, WA 99202. The report has been edited by members of the Branch of Mineral Land Assessment at the field center and

Mineral L; Assessmen Tf; Jerry E. Olson; Donald P. Hodel; Robert C. Horton; Director Preface

1976-01-01T23:59:59.000Z

40

Speakers Bureau | ornl.gov  

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

Communications News Community Outreach Team UT-Battelle Matching Gifts Fund News Home | ORNL | News | Communications | Community Outreach SHARE Speakers Bureau The missions of the...

Note: This page contains sample records for the topic "bureau total stocks" 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

Total..........................................................  

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

Housing Units (millions) Energy Information Administration 2005 Residential Energy Consumption Survey: Preliminary Housing Characteristics Tables Census Division Total South...

42

Total..........................................................  

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

Division Total West Mountain Pacific Energy Information Administration: 2005 Residential Energy Consumption Survey: Preliminary Housing Characteristics Tables Million U.S. Housing...

43

Total..........................................................  

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

(millions) Census Division Total South Energy Information Administration 2005 Residential Energy Consumption Survey: Preliminary Housing Characteristics Tables Table HC13.7...

44

Total..........................................................  

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

Census Division Total Midwest Energy Information Administration 2005 Residential Energy Consumption Survey: Preliminary Housing Characteristics Tables Table HC12.7...

45

Total..........................................................  

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

Census Division Total Northeast Energy Information Administration 2005 Residential Energy Consumption Survey: Preliminary Housing Characteristics Tables Table HC11.7...

46

Total..........................................................  

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

Census Division Total South Energy Information Administration: 2005 Residential Energy Consumption Survey: Preliminary Housing Characteristics Tables Million U.S. Housing...

47

Total..........................................................  

Gasoline and Diesel Fuel Update (EIA)

(millions) Census Division Total West Energy Information Administration 2005 Residential Energy Consumption Survey: Preliminary Housing Characteristics Tables Table HC14.7...

48

STOCK AND DISTRIBUTION OF TOTAL AND CORN-DERIVED SOIL ORGANIC CARBON IN AGGREGATE AND PRIMARY PARTICLE FRACTIONS FOR DIFFERENT LAND USE AND SOIL MANAGEMENT PRACTICES  

Science Conference Proceedings (OSTI)

Land use, soil management, and cropping systems affect stock, distribution, and residence time of soil organic carbon (SOC). Therefore, SOC stock and its depth distribution and association with primary and secondary particles were assessed in long-term experiments at the North Appalachian Experimental Watersheds near Coshocton, Ohio, through *13C techniques. These measurements were made for five land use and soil management treatments: (1) secondary forest, (2) meadow converted from no-till (NT) corn since 1988, (3) continuous NT corn since 1970, (4) continuous NT corn-soybean in rotation with ryegrass since 1984, and (5) conventional plow till (PT) corn since 1984. Soil samples to 70-cm depth were obtained in 2002 in all treatments. Significant differences in soil properties were observed among land use treatments for 0 to 5-cm depth. The SOC concentration (g C kg*1 of soil) in the 0 to 5-cm layer was 44.0 in forest, 24.0 in meadow, 26.1 in NT corn, 19.5 in NT corn-soybean, and 11.1 i n PT corn. The fraction of total C in corn residue converted to SOC was 11.9% for NT corn, 10.6% for NT corn-soybean, and 8.3% for PT corn. The proportion of SOC derived from corn residue was 96% for NT corn in the 0 to 5-cm layer, and it decreased gradually with depth and was 50% in PT corn. The mean SOC sequestration rate on conversion from PT to NT was 280 kg C ha*1 y*1. The SOC concentration decreased with reduction in aggregate size, and macro-aggregates contained 15 to 35% more SOC concentration than microaggregates. In comparison with forest, the magnitude of SOC depletion in the 0 to 30-cm layer was 15.5 Mg C/ha (24.0%) in meadow, 12.7 Mg C/ha (19.8%) in NT corn, 17.3 Mg C/ha (26.8%) in NT corn-soybean, and 23.3 Mg C/ha (35.1%) in PT corn. The SOC had a long turnover time when located deeper in the subsoil.

Puget, P; Lal, Rattan; Izaurralde, R Cesar C.; Post, M; Owens, Lloyd

2005-04-01T23:59:59.000Z

49

Total  

Gasoline and Diesel Fuel Update (EIA)

Total Total .............. 16,164,874 5,967,376 22,132,249 2,972,552 280,370 167,519 18,711,808 1993 Total .............. 16,691,139 6,034,504 22,725,642 3,103,014 413,971 226,743 18,981,915 1994 Total .............. 17,351,060 6,229,645 23,580,706 3,230,667 412,178 228,336 19,709,525 1995 Total .............. 17,282,032 6,461,596 23,743,628 3,565,023 388,392 283,739 19,506,474 1996 Total .............. 17,680,777 6,370,888 24,051,665 3,510,330 518,425 272,117 19,750,793 Alabama Total......... 570,907 11,394 582,301 22,601 27,006 1,853 530,841 Onshore ................ 209,839 11,394 221,233 22,601 16,762 1,593 180,277 State Offshore....... 209,013 0 209,013 0 10,244 260 198,509 Federal Offshore... 152,055 0 152,055 0 0 0 152,055 Alaska Total ............ 183,747 3,189,837 3,373,584 2,885,686 0 7,070 480,828 Onshore ................ 64,751 3,182,782

50

U.S. Total Stocks  

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

Crude Oil and Petroleum Products Crude Oil and Petroleum Products 1,665,345 1,736,739 1,776,375 1,794,099 1,750,087 1,807,777 1956-2012 Crude Oil 983,046 1,027,663 1,051,795 1,059,975 1,026,630 1,060,764 1913-2012 All Oils (Excluding Crude Oil) 682,299 709,076 724,580 734,124 723,457 747,013 1993-2012 Pentanes Plus 10,278 13,775 10,481 12,510 17,596 12,739 1981-2012 Liquefied Petroleum Gases 95,592 113,134 102,147 108,272 111,778 140,529 1967-2012 Ethane/Ethylene 14,869 27,591 20,970 24,323 22,892 35,396 1967-2012 Propane/Propylene 52,007 55,408 50,140 49,241 54,978 67,991 1967-2012 Normal Butane/Butylene 21,862 23,031 24,149 27,652 26,779 28,574 1981-2012 Isobutane/Butylene 6,854 7,104 6,888 7,056 7,129 8,568 1981-2012 Other Hydrocarbons 29 20 41 42 2009-2012

51

Total............................................................  

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

Total................................................................... Total................................................................... 111.1 2,033 1,618 1,031 791 630 401 Total Floorspace (Square Feet) Fewer than 500............................................... 3.2 357 336 113 188 177 59 500 to 999....................................................... 23.8 733 667 308 343 312 144 1,000 to 1,499................................................. 20.8 1,157 1,086 625 435 409 235 1,500 to 1,999................................................. 15.4 1,592 1,441 906 595 539 339 2,000 to 2,499................................................. 12.2 2,052 1,733 1,072 765 646 400 2,500 to 2,999................................................. 10.3 2,523 2,010 1,346 939 748 501 3,000 to 3,499................................................. 6.7 3,020 2,185 1,401 1,177 851 546

52

Total...................  

Gasoline and Diesel Fuel Update (EIA)

4,690,065 52,331,397 2,802,751 4,409,699 7,526,898 209,616 1993 Total................... 4,956,445 52,535,411 2,861,569 4,464,906 7,981,433 209,666 1994 Total................... 4,847,702 53,392,557 2,895,013 4,533,905 8,167,033 202,940 1995 Total................... 4,850,318 54,322,179 3,031,077 4,636,500 8,579,585 209,398 1996 Total................... 5,241,414 55,263,673 3,158,244 4,720,227 8,870,422 206,049 Alabama ...................... 56,522 766,322 29,000 62,064 201,414 2,512 Alaska.......................... 16,179 81,348 27,315 12,732 75,616 202 Arizona ........................ 27,709 689,597 28,987 49,693 26,979 534 Arkansas ..................... 46,289 539,952 31,006 67,293 141,300 1,488 California ..................... 473,310 8,969,308 235,068 408,294 693,539 36,613 Colorado...................... 110,924 1,147,743

53

Total..........................................................................  

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

25.6 25.6 40.7 24.2 Floorspace (Square Feet) Total Floorspace 1 Fewer than 500................................................... 3.2 0.9 0.5 0.9 1.0 500 to 999........................................................... 23.8 4.6 3.9 9.0 6.3 1,000 to 1,499..................................................... 20.8 2.8 4.4 8.6 5.0 1,500 to 1,999..................................................... 15.4 1.9 3.5 6.0 4.0 2,000 to 2,499..................................................... 12.2 2.3 3.2 4.1 2.6 2,500 to 2,999..................................................... 10.3 2.2 2.7 3.0 2.4 3,000 to 3,499..................................................... 6.7 1.6 2.1 2.1 0.9 3,500 to 3,999..................................................... 5.2 1.1 1.7 1.5 0.9 4,000 or More.....................................................

54

Total..........................................................................  

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

4.2 4.2 7.6 16.6 Floorspace (Square Feet) Total Floorspace 1 Fewer than 500................................................... 3.2 1.0 0.2 0.8 500 to 999........................................................... 23.8 6.3 1.4 4.9 1,000 to 1,499..................................................... 20.8 5.0 1.6 3.4 1,500 to 1,999..................................................... 15.4 4.0 1.4 2.6 2,000 to 2,499..................................................... 12.2 2.6 0.9 1.7 2,500 to 2,999..................................................... 10.3 2.4 0.9 1.4 3,000 to 3,499..................................................... 6.7 0.9 0.3 0.6 3,500 to 3,999..................................................... 5.2 0.9 0.4 0.5 4,000 or More.....................................................

55

Total.........................................................................  

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

Floorspace (Square Feet) Floorspace (Square Feet) Total Floorspace 2 Fewer than 500.................................................. 3.2 Q 0.8 0.9 0.8 0.5 500 to 999.......................................................... 23.8 1.5 5.4 5.5 6.1 5.3 1,000 to 1,499.................................................... 20.8 1.4 4.0 5.2 5.0 5.2 1,500 to 1,999.................................................... 15.4 1.4 3.1 3.5 3.6 3.8 2,000 to 2,499.................................................... 12.2 1.4 3.2 3.0 2.3 2.3 2,500 to 2,999.................................................... 10.3 1.5 2.3 2.7 2.1 1.7 3,000 to 3,499.................................................... 6.7 1.0 2.0 1.7 1.0 1.0 3,500 to 3,999.................................................... 5.2 0.8 1.5 1.5 0.7 0.7 4,000 or More.....................................................

56

Total..........................................................................  

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

. . 111.1 20.6 15.1 5.5 Floorspace (Square Feet) Total Floorspace 1 Fewer than 500................................................... 3.2 0.9 0.5 0.4 500 to 999........................................................... 23.8 4.6 3.6 1.1 1,000 to 1,499..................................................... 20.8 2.8 2.2 0.6 1,500 to 1,999..................................................... 15.4 1.9 1.4 0.5 2,000 to 2,499..................................................... 12.2 2.3 1.7 0.5 2,500 to 2,999..................................................... 10.3 2.2 1.7 0.6 3,000 to 3,499..................................................... 6.7 1.6 1.0 0.6 3,500 to 3,999..................................................... 5.2 1.1 0.9 0.3 4,000 or More.....................................................

57

Total..........................................................................  

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

7.1 7.1 7.0 8.0 12.1 Floorspace (Square Feet) Total Floorspace 1 Fewer than 500................................................... 3.2 0.4 Q Q 0.5 500 to 999........................................................... 23.8 2.5 1.5 2.1 3.7 1,000 to 1,499..................................................... 20.8 1.1 2.0 1.5 2.5 1,500 to 1,999..................................................... 15.4 0.5 1.2 1.2 1.9 2,000 to 2,499..................................................... 12.2 0.7 0.5 0.8 1.4 2,500 to 2,999..................................................... 10.3 0.5 0.5 0.4 1.1 3,000 to 3,499..................................................... 6.7 0.3 Q 0.4 0.3 3,500 to 3,999..................................................... 5.2 Q Q Q Q 4,000 or More.....................................................

58

Total..........................................................................  

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

7.1 7.1 19.0 22.7 22.3 Floorspace (Square Feet) Total Floorspace 1 Fewer than 500................................................... 3.2 2.1 0.6 Q 0.4 500 to 999........................................................... 23.8 13.6 3.7 3.2 3.2 1,000 to 1,499..................................................... 20.8 9.5 3.7 3.4 4.2 1,500 to 1,999..................................................... 15.4 6.6 2.7 2.5 3.6 2,000 to 2,499..................................................... 12.2 5.0 2.1 2.8 2.4 2,500 to 2,999..................................................... 10.3 3.7 1.8 2.8 2.1 3,000 to 3,499..................................................... 6.7 2.0 1.4 1.7 1.6 3,500 to 3,999..................................................... 5.2 1.6 0.8 1.5 1.4 4,000 or More.....................................................

59

Total..........................................................................  

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

0.7 0.7 21.7 6.9 12.1 Floorspace (Square Feet) Total Floorspace 1 Fewer than 500................................................... 3.2 0.9 0.6 Q Q 500 to 999........................................................... 23.8 9.0 4.2 1.5 3.2 1,000 to 1,499..................................................... 20.8 8.6 4.7 1.5 2.5 1,500 to 1,999..................................................... 15.4 6.0 2.9 1.2 1.9 2,000 to 2,499..................................................... 12.2 4.1 2.1 0.7 1.3 2,500 to 2,999..................................................... 10.3 3.0 1.8 0.5 0.7 3,000 to 3,499..................................................... 6.7 2.1 1.2 0.5 0.4 3,500 to 3,999..................................................... 5.2 1.5 0.8 0.3 0.4 4,000 or More.....................................................

60

Total..........................................................  

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

.. .. 111.1 24.5 1,090 902 341 872 780 441 Total Floorspace (Square Feet) Fewer than 500...................................... 3.1 2.3 403 360 165 366 348 93 500 to 999.............................................. 22.2 14.4 763 660 277 730 646 303 1,000 to 1,499........................................ 19.1 5.8 1,223 1,130 496 1,187 1,086 696 1,500 to 1,999........................................ 14.4 1.0 1,700 1,422 412 1,698 1,544 1,348 2,000 to 2,499........................................ 12.7 0.4 2,139 1,598 Q Q Q Q 2,500 to 2,999........................................ 10.1 Q Q Q Q Q Q Q 3,000 or More......................................... 29.6 0.3 Q Q Q Q Q Q Heated Floorspace (Square Feet) None...................................................... 3.6 1.8 1,048 0 Q 827 0 407 Fewer than 500......................................

Note: This page contains sample records for the topic "bureau total stocks" 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

Total...................................................................  

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

2,033 2,033 1,618 1,031 791 630 401 Total Floorspace (Square Feet) Fewer than 500............................................... 3.2 357 336 113 188 177 59 500 to 999....................................................... 23.8 733 667 308 343 312 144 1,000 to 1,499................................................. 20.8 1,157 1,086 625 435 409 235 1,500 to 1,999................................................. 15.4 1,592 1,441 906 595 539 339 2,000 to 2,499................................................. 12.2 2,052 1,733 1,072 765 646 400 2,500 to 2,999................................................. 10.3 2,523 2,010 1,346 939 748 501 3,000 to 3,499................................................. 6.7 3,020 2,185 1,401 1,177 851 546 3,500 to 3,999................................................. 5.2 3,549 2,509 1,508

62

Total...........................................................  

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

26.7 26.7 28.8 20.6 13.1 22.0 16.6 38.6 Floorspace (Square Feet) Total Floorspace 1 Fewer than 500................................... 3.2 1.9 0.9 Q Q Q 1.3 2.3 500 to 999........................................... 23.8 10.5 7.3 3.3 1.4 1.2 6.6 12.9 1,000 to 1,499..................................... 20.8 5.8 7.0 3.8 2.2 2.0 3.9 8.9 1,500 to 1,999..................................... 15.4 3.1 4.2 3.4 2.0 2.7 1.9 5.0 2,000 to 2,499..................................... 12.2 1.7 2.7 2.9 1.8 3.2 1.1 2.8 2,500 to 2,999..................................... 10.3 1.2 2.2 2.3 1.7 2.9 0.6 2.0 3,000 to 3,499..................................... 6.7 0.9 1.4 1.5 1.0 1.9 0.4 1.4 3,500 to 3,999..................................... 5.2 0.8 1.2 1.0 0.8 1.5 0.4 1.3 4,000 or More...................................... 13.3 0.9 1.9 2.2 2.0 6.4 0.6 1.9 Heated Floorspace

63

Total...........................................................  

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

14.7 14.7 7.4 12.5 12.5 18.9 18.6 17.3 9.2 Floorspace (Square Feet) Total Floorspace 1 Fewer than 500.................................... 3.2 0.7 Q 0.3 0.3 0.7 0.6 0.3 Q 500 to 999........................................... 23.8 2.7 1.4 2.2 2.8 5.5 5.1 3.0 1.1 1,000 to 1,499..................................... 20.8 2.3 1.4 2.4 2.5 3.5 3.5 3.6 1.6 1,500 to 1,999..................................... 15.4 1.8 1.4 2.2 2.0 2.4 2.4 2.1 1.2 2,000 to 2,499..................................... 12.2 1.4 0.9 1.8 1.4 2.2 2.1 1.6 0.8 2,500 to 2,999..................................... 10.3 1.6 0.9 1.1 1.1 1.5 1.5 1.7 0.8 3,000 to 3,499..................................... 6.7 1.0 0.5 0.8 0.8 1.2 0.8 0.9 0.8 3,500 to 3,999..................................... 5.2 1.1 0.3 0.7 0.7 0.4 0.5 1.0 0.5 4,000 or More...................................... 13.3

64

Total................................................  

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

.. .. 111.1 86.6 2,522 1,970 1,310 1,812 1,475 821 1,055 944 554 Total Floorspace (Square Feet) Fewer than 500............................. 3.2 0.9 261 336 162 Q Q Q 334 260 Q 500 to 999.................................... 23.8 9.4 670 683 320 705 666 274 811 721 363 1,000 to 1,499.............................. 20.8 15.0 1,121 1,083 622 1,129 1,052 535 1,228 1,090 676 1,500 to 1,999.............................. 15.4 14.4 1,574 1,450 945 1,628 1,327 629 1,712 1,489 808 2,000 to 2,499.............................. 12.2 11.9 2,039 1,731 1,055 2,143 1,813 1,152 Q Q Q 2,500 to 2,999.............................. 10.3 10.1 2,519 2,004 1,357 2,492 2,103 1,096 Q Q Q 3,000 or 3,499.............................. 6.7 6.6 3,014 2,175 1,438 3,047 2,079 1,108 N N N 3,500 to 3,999.............................. 5.2 5.1 3,549 2,505 1,518 Q Q Q N N N 4,000 or More...............................

65

Stocks of Residual Fuel Oil  

U.S. Energy Information Administration (EIA)

All stock levels are as of the end of the period. Data may not add to total due to independent rounding. Weekly data for RBOB with Ether, RBOB with Alcohol, ...

66

> BUREAU HOME > AUSTRALIA > QUEENSLAND > FORECASTS FORECAST IMPROVEMENTS  

E-Print Network (OSTI)

> BUREAU HOME > AUSTRALIA > QUEENSLAND > FORECASTS BRISBANE FORECAST IMPROVEMENTS The Bureau of Meteorology is progressively upgrading its forecast system to provide more detailed forecasts across Australia. From October 2013 new and improved 7 day forecasts will be introduced for Brisbane, Gold Coast

Greenslade, Diana

67

A Unique Institution: The National Bureau of Standards, 1950 ...  

Science Conference Proceedings (OSTI)

... 54 The Bureau and X Rays: High Energies Come to the Bureau 56 ... Communism had been contained in Europe; in China it had burst through any ...

68

RITA-Bureau of Transportation Statistics | Open Energy Information  

Open Energy Info (EERE)

RITA-Bureau of Transportation Statistics Jump to: navigation, search Name RITA-Bureau of Transportation Statistics AgencyCompany Organization United States Department of...

69

Federal Energy Management Program: Bureau of Land Management...  

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

Bureau of Land Management - Campground, Utah to someone by E-mail Share Federal Energy Management Program: Bureau of Land Management - Campground, Utah on Facebook Tweet about...

70

Stock mechanics: theory of conservation of total energy and predictions of coming short-term fluctuations of Dow Jones Industrials Average (DJIA)  

E-Print Network (OSTI)

Predicting absolute magnitude of fluctuations of price, even if their sign remains unknown, is important for risk analysis and for option prices. In the present work, we display our predictions about absolute magnitude of daily fluctuations of the Dow Jones Industrials Average (DJIA), utilizing the original theory of conservation of total energy, for the coming 500 days.

Tuncay, C

2006-01-01T23:59:59.000Z

71

City of Los Angeles Bureau of Sanitation  

SciTech Connect

Fact sheet compares emissions testing of Dual-Fuel liquefied natural gas (LNG) and diesel Los Angeles Bureau of Sanitation refuse trucks, performed by DOE's Advanced Vehicle Testing Activity.

Not Available

2004-02-01T23:59:59.000Z

72

Bureau of Indian Affairs | Open Energy Information  

Open Energy Info (EERE)

Bureau of Indian Affairs Bureau of Indian Affairs Jump to: navigation, search Logo: Bureau of Indian Affairs Name Bureau of Indian Affairs Address 1849 C Street, N.W. Place Washington, DC Zip 20240 Year founded 1824 Phone number (202) 208-3710 Website http://www.bia.gov/ Coordinates 38.8935327°, -77.0425422° 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":38.8935327,"lon":-77.0425422,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

73

Federal Regulations: Bureau of Land Management  

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

a bureau in the U.S. Department of the Interior, has jurisdiction over onshore leasing, exploration, development, and production of oil and gas on federal lands. In addition, the...

74

Baldrige Stock Studies  

Science Conference Proceedings (OSTI)

Baldrige Stock Studies. From 1994 through 2004, the Baldrige Performance Excellence Program conducted studies around ...

2013-06-27T23:59:59.000Z

75

Crude Oil and Petroleum Products Total Stocks Stocks by Type  

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

Product: Crude Oil and Petroleum Products Crude Oil All Oils (Excluding Crude Oil) Pentanes Plus Liquefied Petroleum Gases Ethane/Ethylene Propane/Propylene Normal Butane/Butylene Isobutane/Butylene Other Hydrocarbons Oxygenates (excluding Fuel Ethanol) MTBE Other Oxygenates Renewables (including Fuel Ethanol) Fuel Ethanol Renewable Diesel Fuel Other Renewable Fuels Unfinished Oils Unfinished Oils, Naphthas & Lighter Unfinished Oils, Kerosene & Light Gas Unfinished Oils, Heavy Gas Oils Residuum Motor Gasoline Blending Comp. (MGBC) MGBC - Reformulated MGBC - Reformulated, RBOB MGBC - Reformulated, RBOB w/ Alcohol MGBC - Reformulated, RBOB w/ Ether MGBC - Reformulated, GTAB MGBC - Conventional MGBC - Conventional, CBOB MGBC - Conventional, GTAB MGBC - Conventional Other Aviation Gasoline Blending Comp. Finished Motor Gasoline Reformulated Gasoline Reformulated Gasoline Blended w/ Fuel Ethanol Reformulated Gasoline, Other Conventional Gasoline Conventional Gasoline Blended Fuel Ethanol Conventional Gasoline Blended Fuel Ethanol, Ed55 and Lower Conventional Other Gasoline Finished Aviation Gasoline Kerosene-Type Jet Fuel Kerosene Distillate Fuel Oil Distillate F.O., 15 ppm Sulfur and under Distillate F.O., Greater than 15 to 500 ppm Sulfur Distillate F.O., Greater 500 ppm Sulfur Residual Fuel Oil Residual F.O., than 1.00% Sulfur Petrochemical Feedstocks Naphtha for Petro. Feedstock Use Other Oils for Petro. Feedstock Use Special Naphthas Lubricants Waxes Petroleum Coke Asphalt and Road Oil Miscellaneous Products Period-Unit: Monthly-Thousand Barrels Annual-Thousand Barrels

76

Second NIST Stock Investment Study "Quality Stocks" Yield ...  

Science Conference Proceedings (OSTI)

... Study Finds "Quality Stocks" Yield Big Payoff Second NIST Stock Investment Study February 1996 A second NIST stock investment study (the first ...

2013-09-11T23:59:59.000Z

77

Bureau of Reclamation | Open Energy Information  

Open Energy Info (EERE)

Reclamation Reclamation Jump to: navigation, search Logo: Bureau of Reclamation Name Bureau of Reclamation Short Name BOR Address 1849 C Street Place Washington, DC References Reclamation Offices - Addresses and Contacts Name Bureau of Reclamation Address 1849 C Street NW Place Washington, DC Zip 20240-0001 Coordinates 38.8936749°, -77.0425236° 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":38.8936749,"lon":-77.0425236,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

78

cutting stock problem  

Science Conference Proceedings (OSTI)

NIST. cutting stock problem. (classic problem). Definition: Find the best arrangement of shapes on rectangles to minimize ...

2013-08-23T23:59:59.000Z

79

U.S. Propane Total Stocks  

Gasoline and Diesel Fuel Update (EIA)

6 Notes: U.S. inventories of propane benefited from a late pre-season build that pushed inventories to over 65 million barrels by early November 2000, the second highest peak...

80

U.S. Propane Total Stocks  

Gasoline and Diesel Fuel Update (EIA)

7 Notes: U.S. inventories of propane benefited from a late pre-season build that pushed inventories to over 65 million barrels by early November 2000, the second highest peak...

Note: This page contains sample records for the topic "bureau total stocks" 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

Ending Stocks - Total Fuel Ethanol & Oxygenates  

U.S. Energy Information Administration (EIA)

-No Data Reported; --= Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Notes: See Definitions ...

82

Bureau of Economic Geology. 1978 annual report  

DOE Green Energy (OSTI)

Bureau research programs and projects are designed to address many of the State's major concerns in the areas of geologic, energy, mineral, land, and environmental resouces. Research programs incorporate geologic concepts that will build toward an understanding of a specific resource and its impact on human activities. In addition to resource assessments in uranium, lignite, and geopressured geothermal energy, the Bureau continued research into analysis of governmental policy related to energy. Systemic geologic mapping, coastal studies, basin analysis projects, and investigations in other areas of economic geology further indicate the range of research programs carried forward in 1978. Specifically, research on mineral resources and land resources, coastal studies, hydrogeology, basin studies, geologic mapping, and other research (tektites and meteorites, carboniferous of Texas, depositional environments of the Marble Falls Formation, Central Texas) are reported. The establishment of the Mining and Mineral Resources Research Institute is followed. Contracts and grant support and contract reports are listed. The publications eminating from the Bureau are listed. Services rendered by the Bureau and personnel information are included. (MCW)

Not Available

1978-01-01T23:59:59.000Z

83

Bureau of Land Management Oil Shale Development  

E-Print Network (OSTI)

Bureau of Land Management Oil Shale Development Unconventional Fuels Conference University of Utah May 17, 2011 #12;#12;Domestic Oil Shale Resources Primary oil shale resources in the U.S. are in the Green River Formation in Wyoming, Utah, and Colorado. 72 % of this oil shale resource is on Federal

Utah, University of

84

Information flow between composite stock index and individual stocks  

E-Print Network (OSTI)

We investigate the strength and the direction of information transfer in the U.S. stock market between the composite stock price index of stock market and prices of individual stocks using the transfer entropy. Through the directionality of the information transfer, we find that individual stocks are influenced by the index of the market.

Kwon, Okyu

2007-01-01T23:59:59.000Z

85

Stocks by Type  

U.S. Energy Information Administration (EIA)

-No Data Reported; --= Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Notes: Crude oil stocks in the ...

86

Stocks of Fuel Ethanol  

U.S. Energy Information Administration (EIA)

-No Data Reported; --= Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Notes: Stocks include those ...

87

stocked inventory.PDF  

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

08 08 AUDIT REPORT STOCKED INVENTORY AT THE SAVANNAH RIVER SITE U.S. DEPARTMENT OF ENERGY OFFICE OF INSPECTOR GENERAL OFFICE OF AUDIT SERVICES JUNE 2001 MEMORANDUM FOR THE SECRETARY FROM: Gregory H. Friedman (Signed) Inspector General SUBJECT: INFORMATION: Audit Report on "Stocked Inventory at the Savannah River Site" BACKGROUND The Department of Energy's (Department) management and operating contractor at the Savannah River Site, Westinghouse Savannah River Company (Westinghouse), is responsible for managing the majority of the Department's missions and associated stocked inventory at the site. As of March 2001, Westinghouse maintained about

88

Development Wells At Salt Wells Area (Nevada Bureau of Mines...  

Open Energy Info (EERE)

Development Wells At Salt Wells Area (Nevada Bureau of Mines and Geology, 2009) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Development Wells...

89

Measures for Progress: A History of the National Bureau of ...  

Science Conference Proceedings (OSTI)

... Bureau of Standards, convinced by the physicists on its Advisory Committee on Uranium of the ... It would test supplies, particularly high precision ...

90

Responding to National Needs: The National Bureau of ...  

Science Conference Proceedings (OSTI)

... expenses, stationery and printing, heating and lighting, expenses of the visiting committee ... site of the Bureau of Standards in the District of Columbia ...

91

JOURNAL OF RESEARCH of the National Bureau of ...  

Science Conference Proceedings (OSTI)

Page 1. JOURNAL OF RESEARCH of the National Bureau of Standards Vol. 87, No. 3, May-June 1982 Contents Page ...

2003-06-19T23:59:59.000Z

92

JOURNAL OF RESEARCH of the National Bureau of ...  

Science Conference Proceedings (OSTI)

Page 1. JOURNAL OF RESEARCH of the National Bureau of Standards Vol. 87, No. 4, July-August 1982 Contents Page ...

2009-10-07T23:59:59.000Z

93

Low Gasoline Stocks Indicate Increased Odds of Spring Volatility  

Gasoline and Diesel Fuel Update (EIA)

We cannot just focus on distillate. Gasoline will likely be our next We cannot just focus on distillate. Gasoline will likely be our next major concern. Gasoline stock levels have fallen well below the typical band for this time of year, primarily for the same reason distillate stocks fell to low levels -- namely relatively low production due to low margins. At the end of January, total gasoline inventories were almost 13 million barrels (6%) below the low end of the normal band. While gasoline stocks are generally not as important a supply source to the gasoline market this time of year as are distillate stocks to the distillate market, gasoline stocks still are needed. Gasoline stocks are usually used to help meet gasoline demand during February and March as refiners go through maintenance and turnarounds, but we do not have the

94

Japanese coastal fishery stocks.  

E-Print Network (OSTI)

In United Nations Convention on the Law of the Sea (UNCLOS), it was enshrined that "States shall take measures which are designed, on the best scientific evidence available to the States concerned, to maintain or restore populations of harvested species at levels which can produce the maximum sustainable yield (MSY)". However considering the current status of scientific knowledge for the fishery target species in Japan, it is practical that MSY can be defined as the optimal yield under the proper fishery stock management (Japanese Fishery Agency 2012). In Japan, the allowable biological catch (ABC) is estimated for important coastal fishery stocks. The threshold level of stock (Blimit: the minimum stock biomass to ensure an appropriate amount of recruitment) is defined and if the biomass is above Blimit, ABC is calculated based on various reference points which ensure sustainable yields. If the biomass is below Blimit, tighter ABC is set to recover the stock. If the stock biomass is extremely low (below Bban), fishing moratorium or similar measure will be recommended.

Minoru Kanaiwa; Minoru Kanaiwa

2012-01-01T23:59:59.000Z

95

GASFLOW comparisons with bureau of mines experiments  

DOE Green Energy (OSTI)

At the request of the Department of Energy and Westinghouse Hanford Company, the Bureau of Mines has investigated the flammability of mixtures of hydrogen, ammonia, nitrous oxide, and air. The tests were performed in a spherical chamber under quiescent and turbulent conditions. This paper describes combustion calculations using the GASFLOW code and compares the calculated pressure ratios with experiments mentioned above. GASFLOW is a finite-volume computer code that solves the transient, three-dimensional, compressible fluid, Navier-Stokes equations with multiple species coupled with finite-rate chemical kinetics. The computational results show good agreement with the experimental data and confirm GASFLOW to be a valuable tool for evaluating the above combustion process.

Mueller, C.; Travis, J.R.

1994-09-01T23:59:59.000Z

96

Distillate Stocks Expected  

Gasoline and Diesel Fuel Update (EIA)

4 4 Notes: So let's get to what you want to know. What do we expect this upcoming winter? When EIA's demand forecast is combined with its outlook for production and net imports, distillate stocks are projected to remain towards the lower end of the normal range. We are forecasting about an 11 million barrel build between the end of July 2001 and the end of November 2001, slightly more than the average over the past 5 years (10 million barrels), but less than the average of the last 10 years (15 ½ million barrels). If, however, economic incentives are high enough, distillate stocks could build more, resulting in a higher distillate stock level heading into the winter. Of course, the reverse is true as well, if for example, the distillate fuel refining spread declines substantially. Since 1994,

97

PAD District III Stocks  

Gasoline and Diesel Fuel Update (EIA)

4 4 Notes: PADD 3 (the Gulf Coast) inventories, at the end of July, stood at 33.5 million barrels and are well above the normal range for this time of year. Since we have a few months more to go until the beginning of the heating season, there is still time for the plentiful stocks in the Gulf Coast to find their way up into the Midwest. Thus, even though propane stocks in the Midwest are low, this could easily not be the case by the beginning of the heating season. One slight area of concern, however, is that the Texas Eastern Pipeline (TET) is experiencing brine problems due to heavy rains and record stock builds. To help alleviate the problem, some chemical companies are shifting their propane out of TET to other storage facilities. At this time we don't feel that this will negatively affect the propane market this

98

PADD 3 Stocks of Crude Oil and Petroleum Products  

U.S. Energy Information Administration (EIA)

All stock levels are as of the end of the period. Data may not add to total due to independent rounding. Weekly data for RBOB with Ether, RBOB with Alcohol, ...

99

Stocks of Propane/Propylene - Energy Information Administration  

U.S. Energy Information Administration (EIA)

All stock levels are as of the end of the period. Data may not add to total due to independent rounding. Weekly data for RBOB with Ether, RBOB with Alcohol, ...

100

Cushing, Oklahoma Stocks of Crude Oil and Petroleum Products  

U.S. Energy Information Administration (EIA)

All stock levels are as of the end of the period. Data may not add to total due to independent rounding. Weekly data for RBOB with Ether, RBOB with Alcohol, ...

Note: This page contains sample records for the topic "bureau total stocks" 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

Table 7.6 Coal Stocks by Sector, End of Year 1949-2011 ...  

U.S. Energy Information Administration (EIA)

Table 7.6 Coal Stocks by Sector, End of Year 1949-2011 (Million Short Tons) Year: Producers and Distributors: Consumers: Total: Residential

102

Results of Baldrige Winners' Common Stock Comparison ...  

Science Conference Proceedings (OSTI)

... Results of Baldrige Winners' Common Stock Comparison Third NIST Stock Investment Study February 1997 Methodology: A hypothetical sum was ...

2013-09-11T23:59:59.000Z

103

Agency Bureau Primary Activity Code Secondary Activity Code  

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

ENCLOSURE 1 ENCLOSURE 1 Agency Bureau Primary Activity Code Secondary Activity Code Additional Activity Code Description of Activity Competed Type of Competition Location (State) # of FTE in study # of Bids Received Start Date (Day/Mo/Yr) End Date (Day/Mo/Yr) Expected Phase-In Completion Date (Day/Mo/Yr) Actual Phase- In Completion Date (Day/Mo/Yr) Source Selection Strategy Used Winning Provider FY 2006 Costs Total Cost All Years Estimated Savings Period of Est. Savings (Performance Period--in years) Annualized Savings Actual Savings (if available) Saving Methodology: Calculation / Proxy Quantifiable Description of Improvements in Service or Performance (if appropriate) 0 0 0.000 0.000 0.000 0.000 0.000 0 0 0.000 0.000 0.000 0.000 0.000 0 0 0.000 0.000 0.000 0.000 0.000 0.628 FY 2007 FIXED COSTS*

104

The Australian Bureau of Meteorology 1280-MHz Wind Profiler  

Science Conference Proceedings (OSTI)

The Australian Bureau of Meteorology has constructed a new 1280-MHz radar wind profiler. Key features include a state-of-the-art digital transceiver system and modern peak detection algorithms for obtaining high quality wind estimates, even in ...

P. T. May; F. Cummings; J. Koutsovasilis; R. Jones; D. Shaw

2002-06-01T23:59:59.000Z

105

NEW MEXICO ENVIRONMENT DEPARTMENT Hazardous Waste Bureau SUSANA...  

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

MEXICO ENVIRONMENT DEPARTMENT Hazardous Waste Bureau SUSANA MARTINEZ Governor 2905 Rodeo Park Drive East, Building 1 Santa Fe, New Mexico 87505-6303 Phone (505) 476-6000 Fax (505)...

106

City of Los Angeles Bureau of Sanitation. Advanced Technology...  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

ANGELES BUREAU OF SANITATION'S decision to acquire Dual-Fuel(tm) liquefied natural gas (LNG) refuse trucks was guided by research, regulation, and a desire to improve the City's...

107

Jim Stock | Department of Energy  

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

Jim Stock Jim Stock About Us Jim Stock - Member - White House Council of Economic Advisers James H. Stock is a member of the Council of Economic Advisers and is responsible for offering the President objective advice on the formulation of economic policy. Stock was previously the Chief Economist for the Council of Economic Advisers. He is on leave from Harvard University where he is the Harold Hitchings Burbank Professor of Political Economy in the Department of Economics, with a dual appointment in the Harvard Kennedy School. Dr. Stock served as Chair of the Harvard Economics Department from 2006 to 2009 and has been a professor at Harvard continuously since 1983, with the exception of a two-year appointment at UC Berkeley from 1990 to 1991. His research focuses on macroeconomic forecasting, monetary policy, and

108

Bureau Valley School District Wind Farm | Open Energy Information  

Open Energy Info (EERE)

Valley School District Wind Farm Valley School District Wind Farm Jump to: navigation, search Name Bureau Valley School District Wind Farm Facility Bureau Valley School District Sector Wind energy Facility Type Community Wind Facility Status In Service Owner Bureau Valley School District Developer Engineers Architects Professional Corp. Energy Purchaser Bureau Valley School District Location Bureau Valley IL Coordinates 41.4661°, -89.678° 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":41.4661,"lon":-89.678,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

109

Lubricants Refinery Stocks by Type  

U.S. Energy Information Administration (EIA)

-No Data Reported; --= Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Notes: Crude oil stocks in the ...

110

Stocks of Distillate Fuel Oil  

U.S. Energy Information Administration (EIA)

-No Data Reported; --= Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Notes: Stocks include those ...

111

Stocks of Crude Oil, Commercial  

U.S. Energy Information Administration (EIA)

-No Data Reported; --= Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Notes: Stocks include those ...

112

Stock Mechanics: a classical approach  

E-Print Network (OSTI)

New theoretical approaches about forecasting stock markets are proposed. A mathematization of the stock market in terms of arithmetical relations is given, where some simple (non-differential, non-fractal) expressions are also suggested as general stock price formuli in closed forms which are able to generate a variety of possible price movements in time. A kind of mechanics is submitted to cover the price movements in terms of classical concepts. Where utilizing stock mechanics to grow the portfolios in real markets is also proven.

Tuncay, C

2005-01-01T23:59:59.000Z

113

Notices DEPARTMENT OF THE INTERIOR Bureau of Land Management  

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

58 Federal Register 58 Federal Register / Vol. 76, No. 209 / Friday, October 28, 2011 / Notices DEPARTMENT OF THE INTERIOR Bureau of Land Management DEPARTMENT OF ENERGY [LLWO300000.L14300000] Notice of Availability of the Supplement to the Draft Programmatic Environmental Impact Statement for Solar Energy Development in Six Southwestern States and Notice of Public Meetings AGENCY: Bureau of Land Management, Interior. Department of Energy. ACTION: Notice of availability. SUMMARY: The Bureau of Land Management (BLM) and the Department of Energy (DOE) (the Agencies) as joint lead agencies announce the availability of the Supplement to the Draft Programmatic Environmental Impact Statement (EIS) for Solar Energy Development in Six Southwestern States (Supplement) (BLM/DES 11-49,

114

Pennsylvania Bureau of Oil and Gas Management | Open Energy Information  

Open Energy Info (EERE)

Bureau of Oil and Gas Management Bureau of Oil and Gas Management Jump to: navigation, search State Pennsylvania Name Pennsylvania Bureau of Oil and Gas Management Address Rachel Carson State Office Building City, State Harrisburg, PA Zip 17105-8765 Website http://www.dep.state.pa.us/dep Coordinates 40.267244°, -76.886214° 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":40.267244,"lon":-76.886214,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

115

Magnetotellurics At Salt Wells Area (Bureau of Land Management, 2009) |  

Open Energy Info (EERE)

Salt Wells Area (Bureau of Land Management, 2009) Salt Wells Area (Bureau of Land Management, 2009) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Magnetotellurics At Salt Wells Area (Bureau of Land Management, 2009) Exploration Activity Details Location Salt Wells Geothermal Area Exploration Technique Magnetotellurics Activity Date 2008 - 2008 Usefulness not indicated DOE-funding Unknown Exploration Basis Vulcan increased exploration efforts in the summer and fall of 2008, during which time the company drilled two temperature gradient holes (86-15 O on Pad 1 and 17-16 O on Pad 3); conducted seismic, gravity and magnetotelluric surveys; and drilled deep exploration wells at Pads 6 and 8 and binary wells at Pads 1, 2, 4, and 7. Notes Data from these wells is proprietary, and so were unavailable for inclusion

116

ORISE: Helping Bureau of Reclamation with National Security Exercises at  

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

plans full-scale exercises to test security at major U.S. Bureau of plans full-scale exercises to test security at major U.S. Bureau of Reclamation dams ORISE has served as lead exercise planner for the U.S. Department of the Interior, Bureau of Reclamation's Critical Infrastructure Exercise Program since its inception in 2003. Six of the dams operated by BOR are designated as National Critical Infrastructure facilities: Flaming Gorge, Folsom, Glen Canyon, Grand Coulee, Hoover and Shasta. The program helps BOR answer an important question-are these massive dams secure in the event of a terrorist attack? Exercise programs for each of these critical facilities typically extend over a 12-month period during which ORISE facilitates a series of exercise events that test emergency response plans. ORISE guides the dam's staff,

117

Bureau of Energy Efficiency Standard & Labelling (India) Website | Open  

Open Energy Info (EERE)

Bureau of Energy Efficiency Standard & Labelling (India) Website Bureau of Energy Efficiency Standard & Labelling (India) Website Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Bureau of Energy Efficiency Standard & Labelling (India) Website Focus Area: Energy Efficiency, - Utility Topics: Policy, Deployment, & Program Impact Website: www.beeindia.in/ Equivalent URI: cleanenergysolutions.org/content/bureau-energy-efficiency-standard-lab Language: English Policies: "Deployment Programs,Regulations" is not in the list of possible values (Deployment Programs, Financial Incentives, Regulations) for this property. DeploymentPrograms: Voluntary Appliance & Equipment Labeling Regulations: "Building Codes,Energy Standards,Incandescent Phase-Out" is not in the list of possible values (Agriculture Efficiency Requirements, Appliance & Equipment Standards and Required Labeling, Audit Requirements, Building Certification, Building Codes, Cost Recovery/Allocation, Emissions Mitigation Scheme, Emissions Standards, Enabling Legislation, Energy Standards, Feebates, Feed-in Tariffs, Fuel Efficiency Standards, Incandescent Phase-Out, Mandates/Targets, Net Metering & Interconnection, Resource Integration Planning, Safety Standards, Upgrade Requirements, Utility/Electricity Service Costs) for this property.

118

Renewable Energy Assessment for the Bureau of Reclamation  

DOE Green Energy (OSTI)

Report summarizes the results of an assessment and analysis of renewable energy opportunities conducted for the U.S. Department of Interior, Bureau of Reclamation (Reclamation) by the National Renewable Energy Laboratory (NREL). Report contains results from utility scale analysis and site visits, as well as facility scale screening and site visits.

Haase, S.; Burman, K.; Dahle, D.; Heimiller, D.; Van Geet, O.

2012-05-01T23:59:59.000Z

119

Stock Market and Consumption: Evidence from China  

E-Print Network (OSTI)

A. 1992. Understanding Consumption. Cambridge, UK: CambridgeStock market wealth and consumption. The Journal of Economic139–146. Stock Market and Consumption: Evidence from China

Hau, Leslie C

2011-01-01T23:59:59.000Z

120

Average Stock Levels: Crude Market & Propane  

U.S. Energy Information Administration (EIA)

This graph shows that propane was not alone in experiencing excess supply in 1998 and extraordinary stock builds. Note that the graph shows average stock levels ...

Note: This page contains sample records for the topic "bureau total stocks" 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

EVS launches new Solar Energy Program Web site for the Bureau...  

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

launches new Solar Energy Program Web site for the Bureau of Land Management August 22, 2013 EVS designed and recently released a new Web site for the Bureau of Land Management...

122

Table 38. Coal Stocks at Coke Plants by Census Division  

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

Coal Stocks at Coke Plants by Census Division Coal Stocks at Coke Plants by Census Division (thousand short tons) U.S. Energy Information Administration | Quarterly Coal Report, April - June 2013 Table 38. Coal Stocks at Coke Plants by Census Division (thousand short tons) U.S. Energy Information Administration | Quarterly Coal Report, April - June 2013 Census Division June 30, 2013 March 31, 2013 June 30, 2012 Percent Change (June 30) 2013 versus 2012 Middle Atlantic w w w w East North Central 1,313 1,177 1,326 -1.0 South Atlantic w w w w East South Central w w w w U.S. Total 2,500 2,207 2,295 8.9 w = Data withheld to avoid disclosure. Note: Total may not equal sum of components because of independent rounding. Source: U.S. Energy Information Administration (EIA), Form EIA-5, 'Quarterly Coal Consumption and Quality Report - Coke Plants.'

123

Buildings Stock Load Control  

E-Print Network (OSTI)

Researchers and practitioners have proposed a variety of solutions to reduce electricity consumption and curtail peak demand. This research focuses on electricity demand control by applying some strategies in existing building to reduce it during the extreme climate period. The first part of this paper presents the objectives of the study: ? to restrict the startup polluting manufacturing units (power station), ? to limit the environmental impacts (greenhouse emission), ? to reduce the transport and distribution electricity infrastructures The second part presents the approach used to rise the objectives : ? To aggregat the individual loads and to analyze the impact of different strategies from load shedding to reduce peak power demand by: ? Developing models of tertiary buildings stocks (Schools, offices, Shops, hotels); ? Making simulations for different load shedding strategies to calculate potential peak power saving. The third part is dedicated to the description of the developed models: An assembly of the various blocks of the library of simbad and simulink permit to model building. Finally the last part prensents the study results: Graphs and tables to see the load shedding strategies impacts.

Joutey, H. A.; Vaezi-Nejad, H.; Clemoncon, B.; Rosenstein, F.

2006-01-01T23:59:59.000Z

124

U.S. Crude Oil and Petroleum Products Stocks by Type  

U.S. Energy Information Administration (EIA)

Stock Type: Area: Feb-13 Mar-13 Apr-13 May-13 Jun-13 Jul-13 View History; Total Stocks: 1,790,732: 1,793,174: 1,806,501: 1,817,459: 1,817,679: 1,817,508: 1956-2013 ...

125

West Coast (PADD 5) CBOB Gasoline Blending Components Stocks by Type  

U.S. Energy Information Administration (EIA)

Stock Type: Area: 2007 2008 2009 2010 2011 2012 View History; Total Stocks: 1,769: 2,651: 3,784: 4,085: 3,756: 5,082: 2005-2012: Refinery: 1,001: 1,018: 1,022: 824 ...

126

Wilhelm Fenner and the Development of the German Cipher Bureau, 1922-1939  

Science Conference Proceedings (OSTI)

Wilhelm Fenner was the central figure in the evolution of the German Cipher Bureau between 1922 and 1939, and a major personality in the history of German communications intelligence in the interwar period. Under his direction, the Cipher Bureau evolved ... Keywords: Cipher Bureau, Germany, OKW/Chi, Wilhelm Fenner

David Alvarez

2007-04-01T23:59:59.000Z

127

Interior Bureau of Land Management Battle Mountain District Office  

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

United States Department of the United States Department of the Interior Bureau of Land Management Battle Mountain District Office Battle Mountain Nevada November 19, 2010 Tonopah Field Office Tonopah, Nevada FES-10-57 N-86292 DOI-BLM-NVB020-2009-0104-EIS Tonopah Solar Energy, LLC Crescent Dunes Solar Energy Project Final Environmental Impact Statement Proposed Crescent Dunes Solar Energy Project: Final EIS| ii BLM Mission Statement It is the mission of the Bureau of Land Management to sustain the health, diversity, and productivity of the public lands for the use and enjoyment of present and future generations. BLM/NV/BM/EIS/10/30+1793 DOI No. FES 10-57 http://www.blm.gov/nv/stlenlfo/battle_mountain_field.html In Reply Refer To: N-86292 DOI-BLM-NVBO2O-2009-0 1 04-EIS 2800 (NVB0200) Dear

128

Bureau of Land Management - Campground, Utah | Department of Energy  

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

Land Management - Campground, Utah Land Management - Campground, Utah Bureau of Land Management - Campground, Utah October 7, 2013 - 9:47am Addthis Photo of Field Station at Red Cliffs Campground in Utah's Cedar City District The Bureau of Land Management (BLM) has remote field stations in Arizona, California, Utah, Idaho, and Alaska. This photograph shows the field station at Red Cliffs Campground in Utah's Cedar City District. Photovoltaic power systems allow the people working in these remote areas to have the convenience of continuous power. "The comfort and convenience of having 24-hour continuous power has been greatly appreciated by the users," said Trent Duncan of BLM, the mechanical engineer for the project. A standardized system design based on existing BLM systems was developed

129

Mr. John E. Kieling, Chief Hazardous Was te Bureau  

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

John E. Kieling, Chief John E. Kieling, Chief Hazardous Was te Bureau Depa rtment of Energy Carlsbad Field Office P. O. Box 3090 Carlsbad , New Mexico 88221 NOV 0 5 2013 New Mexico Environment Department 2905 Rodeo Park Drive East. Building 1 Santa Fe, New Mexico 87505-6303 Subject: Panel 6 Closure and Final Waste Emplacement Notifications Dear Mr. Kieling : The purpose of this leiter is 1 0 notify th e New Mexico Environment Department (NMEO) that the

130

Stocks of Total Crude Oil and Petroleum Products (Including SPR)  

U.S. Energy Information Administration (EIA)

Weekly data for RBOB with Ether, RBOB with Alcohol, and Reformulated GTAB Motor Gasoline Blending Components are discontinued as of the week ending June 4, ...

131

Stock Market and Consumption: Evidence from China  

E-Print Network (OSTI)

9] Funke, Norbert. 2004. Is there a stock market wealth e?ect in emerging markets? Economics Letters, 83, 417–21. [10]C. 1990. Has the stock market crash reduced consumer spend-

Hau, Leslie C

2011-01-01T23:59:59.000Z

132

Distillate Stocks Expected to Remain Low  

Gasoline and Diesel Fuel Update (EIA)

8 Notes: When EIA's demand forecast is combined with its outlook for production and net imports, distillate stocks are projected to remain low for the rest of the year. - Stocks...

133

Essays on predictability of stock returns  

E-Print Network (OSTI)

This thesis consists of three chapters exploring predictability of stock returns. In the first chapter, I suggest a new approach to analysis of stock return predictability. Instead of relying on predictive regressions, I ...

Rytchkov, Oleg

2007-01-01T23:59:59.000Z

134

Political Cycles and the Stock Market  

E-Print Network (OSTI)

forecast the stock market as controls for business cycle ?uctuations. After controlling for the dividend-price

Santa-Clara, Pedro; Valkanov, Rossen

2000-01-01T23:59:59.000Z

135

Stocking rate effects on intensive-early stocked Flint Hills bluestem range  

E-Print Network (OSTI)

Stocking rate effects on intensive-early stocked Flint Hills bluestem range CLENTON E. OWENSBY, ROBERT COCHRAN, AND ED F. SMITH Stocking rate effects on intensive-early stocked Kansas Flint Hills range- lands is limited to the first 2 1/ 2 months of the growing season in the Kansas Flint Hills. Grazing

Owensby, Clenton E.

136

Forecast Technical Document Growing Stock Volume  

E-Print Network (OSTI)

Forecast Technical Document Growing Stock Volume Forecasts A document describing how growing stock (`standing') volume is handled in the 2011 Production Forecast. Tom Jenkins Robert Matthews Ewan Mackie Lesley Halsall #12;PF2011 ­ Growing stock volume forecasts Background A forecast of standing volume (or

137

Nevada Bureau of Mines and Geology | Open Energy Information  

Open Energy Info (EERE)

Mines and Geology Mines and Geology Jump to: navigation, search State Nevada Name Nevada Bureau of Mines and Geology Address University of Nevada/178 City, State Reno, Nevada Zip 89557 Website http://www.nbmg.unr.edu/Oil&Ga Coordinates 39.5440601°, -119.8136573° 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":39.5440601,"lon":-119.8136573,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

138

Bureau of Indian Affairs - Supai Village, Arizona | Department of Energy  

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

Indian Affairs - Supai Village, Arizona Indian Affairs - Supai Village, Arizona Bureau of Indian Affairs - Supai Village, Arizona October 7, 2013 - 9:48am Addthis Photo of Photovoltaic Energy System at Havasupai Indian Reservation Village of Supai, Arizona The Havasupai Indian Reservation village of Supai, Arizona, is located approximately 40 miles northwest of Grand Canyon Village, AZ. It is one of the most remote Native American communities in the nation. Most supplies must be either flown in by helicopter or trekked in on horseback or by mule trains. Three photovoltaic (PV) energy systems will supply up to 2 kilowatts of electrical power each to three facilities, which include a school, a jail, and a government complex that houses local teachers and police officers. This community of 2,000 people experiences three or more electrical outages

139

Low Stocks Mean Tight Markets  

Gasoline and Diesel Fuel Update (EIA)

6 6 Notes: Like those for other petroleum products, gasoline inventories have been running below normal. As of the latest weekly data, stocks are about 5% lower than the low end of the normal range for this time of year. Behind all of the low product inventories are low crude oil inventories. Recall that the crude market tightened in 1999 when OPEC cut back production. Demand was greater than supply and inventories were used to make up the difference. They have not yet recovered. Crude oil inventories are running about 7% below the low end of the normal range for this time of year. After last week's very large stock draw, it appears inventories are the lowest that they have been since December 1975. The U.S. inventory data will be an important price barometer to

140

Renewable Energy Assessment of Bureau of Reclamation Land and Facilities Using Geographic Information Systems  

DOE Green Energy (OSTI)

This report summarizes results of geographic information system screening for solar and wind potential at select Bureau of Reclamation lands in the western United States. The study included both utility-scale and facility-scale potential. This study supplements information in the report titled Renewable Energy Assessment for the Bureau of Reclamation: Final Report.

Heimiller, D.; Haase, S.; Melius, J.

2013-05-01T23:59:59.000Z

Note: This page contains sample records for the topic "bureau total stocks" 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

Equipment tested at the Bureau's oil-shale mine  

SciTech Connect

This document describes new equipment tested by Bureau for drilling vertical holes, hauling explosives, conditioning diesel exhaust gas, and cleaning blast holes at Bureau's Experimental Oil-Shale mine near Rifle, Colo., that might be used in many of the country's underground mines where room-and-pillar method of mining is employed. 17 figures.

Wright, F.D.; Ballinger, H.J.; Burgh, E.E.; Brown, B.C.; Fieg, L.

1951-06-01T23:59:59.000Z

142

Distillate Stocks Expected to Remain Low  

Gasoline and Diesel Fuel Update (EIA)

5 5 Notes: When EIA's demand forecast is combined with its outlook for production and net imports, distillate stocks are projected to remain low for the rest of the year. - Stocks are beginning at very low levels. The September 1 distillate fuel stock level (112 million barrels) is nearly 20% less than last year, and about 15% below the 10 year average for end of August levels. - But stocks on the East Coast, at 39.8 million barrels, are 39% behind year-ago levels, and about a similar percentage below end-of-August 10-year average levels. Over the last 10 years, the average stock build from the end of August through the end of November has been about 10 million barrels. We are forecasting about a 12 million barrel build, which does not reach the normal band. Forecast stocks peak at the end of November at 127 million

143

WILD RICE SALAD RECIPE 1 quart water, chicken stock or vegetable stock  

E-Print Network (OSTI)

WILD RICE SALAD RECIPE 1 quart water, chicken stock or vegetable stock 1 cup wild rice, rinsed Sea ground pepper to taste 4 tablespoons extra virgin olive oil 2 tablespoons buttermilk or plain low-fat

Blanchette, Robert A.

144

How Predictable Is The Chinese Stock Market?.  

E-Print Network (OSTI)

?? We analyze return predictability for the Chinese stock market, including the aggregate market portfolio and the components of the aggregate market, such as portfolios… (more)

Jiang, Fuwei

2011-01-01T23:59:59.000Z

145

Low Stocks Set Stage for Price Volatility  

Gasoline and Diesel Fuel Update (EIA)

left heating oil markets in a vulnerable position. Stocks began the winter of 199900 well above average. They deteriorated somewhat as low margins kept refiners from continuing...

146

Kerosene Bulk Terminal Stocks by Type  

U.S. Energy Information Administration (EIA)

-No Data Reported; --= Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Notes: Crude oil stocks in the ...

147

Isobutane/Butylene Refinery Stocks by Type  

U.S. Energy Information Administration (EIA)

-No Data Reported; --= Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Notes: Crude oil stocks in the ...

148

Crude Oil Refinery Stocks by Type  

U.S. Energy Information Administration (EIA)

-No Data Reported; --= Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Notes: Crude oil stocks in the ...

149

Stocks of Kerosene-Type Jet Fuel  

U.S. Energy Information Administration (EIA)

-No Data Reported; --= Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Notes: Stocks include those ...

150

Petroleum Coke Refinery Stocks by Type  

U.S. Energy Information Administration (EIA)

-No Data Reported; --= Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Notes: Crude oil stocks in the ...

151

Stocks of Motor Gasoline Blending Components  

U.S. Energy Information Administration (EIA)

-No Data Reported; --= Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Notes: Stocks include those ...

152

Stocks of Motor Gasoline Blending Components, CBOB  

U.S. Energy Information Administration (EIA)

-No Data Reported; --= Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Notes: Stocks include those ...

153

Integer Solutions to Cutting Stock Problems  

E-Print Network (OSTI)

ting Stock Problem (CSP) that can be described as follows: find the most ... two integer linear programming models for the one-dimensional CSP differing in.

154

Models for the two-dimensional two-stage cutting stock problem with multiple stock size  

Science Conference Proceedings (OSTI)

We consider a Two-Dimensional Cutting Stock Problem (2DCSP) where stock of different sizes is available, and a set of rectangular items has to be obtained through two-stage guillotine cuts. We propose and computationally compare three Mixed-Integer Programming ... Keywords: Computational experiments, Cutting stock problem, Mixed-integer programming models

Fabio Furini, Enrico Malaguti

2013-08-01T23:59:59.000Z

155

Intensive-Early Stocking and Season-Long Stocking of Kansas Flint Hills Range  

E-Print Network (OSTI)

Intensive-Early Stocking and Season-Long Stocking of Kansas Flint Hills Range ED F. SMITH AND CLENTON E. OWENSBY Highlight: Native Flint Hills bluestem range was stocked at twice the normal rate, 1 gains during the latter half of the growing season on Kansas Flint Hills range are barely one-half those

Owensby, Clenton E.

156

A quantum mechanical model for the relationship between stock price and stock ownership  

SciTech Connect

The trade of a fixed stock can be regarded as the basic process that measures its momentary price. The stock price is exactly known only at the time of sale when the stock is between traders, that is, only in the case when the owner is unknown. We show that the stock price can be better described by a function indicating at any moment of time the probabilities for the possible values of price if a transaction takes place. This more general description contains partial information on the stock price, but it also contains partial information on the stock owner. By following the analogy with quantum mechanics, we assume that the time evolution of the function describing the stock price can be described by a Schroedinger type equation.

Cotfas, Liviu-Adrian [Faculty of Economic Cybernetics, Statistics and Informatics, Academy of Economic Studies, 6 Piata Romana, 010374 Bucharest (Romania)

2012-11-01T23:59:59.000Z

157

A quantum mechanical model for the relationship between stock price and stock ownership  

E-Print Network (OSTI)

The trade of a fixed stock can be regarded as the basic process that measures its momentary price. The stock price is exactly known only at the time of sale when the stock is between traders, that is, only in the case when the owner is unknown. We show that the stock price can be better described by a function indicating at any moment of time the probabilities for the possible values of price if a transaction takes place. This more general description contains partial information on the stock price, but it also contains partial information on the stock owner. By following the analogy with quantum mechanics, we assume that the time evolution of the function describing the stock price can be described by a Schrodinger type equation.

Liviu-Adrian Cotfas

2012-07-14T23:59:59.000Z

158

Iowa Refinery, Bulk Terminal, and Natural Gas Plant Stocks of ...  

U.S. Energy Information Administration (EIA)

Notes: Distillate stocks located in the Northeast Heating Oil Reserve are not included. Stocks are reported as of the last day of the month.

159

Oregon Refinery, Bulk Terminal, and Natural Gas Plant Stocks ...  

U.S. Energy Information Administration (EIA)

Notes: Distillate stocks located in the Northeast Heating Oil Reserve are not included. Stocks are reported as of the last day of the month.

160

Kentucky Refinery, Bulk Terminal, and Natural Gas Plant Stocks ...  

U.S. Energy Information Administration (EIA)

Notes: Distillate stocks located in the Northeast Heating Oil Reserve are not included. Stocks are reported as of the last day of the month.

Note: This page contains sample records for the topic "bureau total stocks" 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

Information Efficiency Comparison Between Shanghai and Hongkong Stock Markets.  

E-Print Network (OSTI)

??This thesis starts with the introduction of Shanghai stock market, Hong Kong stock market and efficient market hypothesis. It then tries to compare the information… (more)

Qu, Huan

2008-01-01T23:59:59.000Z

162

DOE and the Bureau of Safety and Environmental Enforcement Sign Memorandum  

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

and the Bureau of Safety and Environmental Enforcement Sign and the Bureau of Safety and Environmental Enforcement Sign Memorandum of Collaboration for Safe Offshore Energy Development DOE and the Bureau of Safety and Environmental Enforcement Sign Memorandum of Collaboration for Safe Offshore Energy Development August 23, 2013 - 1:47pm Addthis A copy of the Memorandum of Collaboration can be found here. WASHINGTON, D.C.- The Department of Energy's (DOE) Office of Fossil Energy and The Bureau of Safety and Environmental Enforcement (BSEE) signed a Memorandum of Collaboration this week that will coordinate the ongoing efforts of the two agencies on offshore research and technological improvement projects. Through this collaboration, BSEE and DOE will continue to work together to ensure safe, sustainable offshore production

163

The Limited-Area Forecast Systems at the Central Weather Bureau in Taiwan  

Science Conference Proceedings (OSTI)

The Central Weather Bureau (CWB) in Taipei, Republic of China has entered the era of operational numerical weather prediction with the complete online operations of a Global Forecast System (GFS) and the Limited-Area Forecast Systems (LAFS). A ...

Bao-Fong Jeng; Hway-Jen Chen; Shwu-Ching Lin; Tzay-Ming Leou; Melinda S. Peng; Simon W. Chang; Wu-Ron Hsu; C.-P. Chang

1991-03-01T23:59:59.000Z

164

DOE - Office of Legacy Management -- National Bureau of Standards - DC 01  

Office of Legacy Management (LM)

Bureau of Standards - DC Bureau of Standards - DC 01 FUSRAP Considered Sites Site: NATIONAL BUREAU OF STANDARDS (DC.01) Eliminated from consideration under FUSRAP Designated Name: Not Designated Alternate Name: None Location: Van Ness Street , Washington , D.C. DC.01-1 Evaluation Year: 1987 DC.01-2 DC.01-3 Site Operations: Performed quality analysis lab work for the MED during the 1940s; decontamination efforts were completed in 1952 and the building was demolished in 1976 DC.01-3 Site Disposition: Eliminated - Radiation levels Below criteria DC.01-1 Radioactive Materials Handled: Yes Primary Radioactive Materials Handled: Radium DC.01-4 Radiological Survey(s): Yes DC.01-1 Site Status: Eliminated from consideration under FUSRAP Also see Documents Related to NATIONAL BUREAU OF STANDARDS

165

DOE - Office of Legacy Management -- Bureau of Mines - CO 0-02  

Office of Legacy Management (LM)

Bureau of Mines - CO 0-02 Bureau of Mines - CO 0-02 FUSRAP Considered Sites Site: Bureau of Mines (CO.0-02 ) Eliminated from consideration under FUSRAP Designated Name: Not Designated Alternate Name: National Radium Institute CO.0-02-1 Location: Denver , Colorado CO.0-02-1 Evaluation Year: 1986 CO.0-02-1 Site Operations: Radium processing and process development; produced radium, uranium oxide, and vanadium oxide from June 1914 to January 1917. CO.0-02-1 Site Disposition: Eliminated - No Authority - Work not performed by or for DOE predecessor agency CO.0-02-1 Radioactive Materials Handled: Yes Primary Radioactive Materials Handled: Radium CO.0-02-1 Radiological Survey(s): None Indicated Site Status: Eliminated from consideration under FUSRAP Also see Documents Related to Bureau of Mines

166

REPORl OF THE BUREAU OF COMMERCIAL FISHERIES ,IOLOGICAL STATION, ST. PETERSBURG BEACH, FLORIDA  

E-Print Network (OSTI)

Ologlcal data to: Th Bureau of Sport FisherIes nd '11dhfe; th 1I . rOl\\', orps of Engm ers; h FlOrIda Boa rd

167

Dr. L. R. Solon, Director Bureau of Radiation Control New York...  

Office of Legacy Management (LM)

SEP 2 9 1987 Dr. L. R. Solon, Director Bureau of Radiation Control New York City Department of Health 111 Livingston Street New York, New York 11201 Dear Dr. Solon: As was noted in...

168

Evaluating next-generation environmental policy tools : adaptive management in the Bureau of Land Management  

E-Print Network (OSTI)

The U.S. Bureau of Land Management (BLM) has begun to embrace the concept adaptive management as an alternative to traditional natural resource planning and management models. Adaptive management may provide BLM managers ...

Brandenburg, Peter (Peter J.)

2005-01-01T23:59:59.000Z

169

Molecular and Stellar Disks Galaxies Lisa Young (New Mexico Tech) and Martin Bureau (Oxford)  

E-Print Network (OSTI)

Molecular and Stellar Disks Galaxies Lisa Young (New Mexico Tech) and Martin Bureau (Oxford galaxies contain molecular disks. These internal structures evolution galaxies. to place observational constraints on the formation in early galaxies studying the relationships between embedded disks, molecular

Bureau, Martin

170

An Assessment of Marine Surface Winds from the Australian Bureau of Meteorology Numerical Weather Prediction Systems  

Science Conference Proceedings (OSTI)

A method for routinely verifying numerical weather prediction surface marine winds with satellite scatterometer winds is introduced. The marine surface winds from the Australian Bureau of Meteorology’s operational global and regional numerical ...

Eric W. Schulz; Jeffrey D. Kepert; Diana J. M. Greenslade

2007-06-01T23:59:59.000Z

171

Responding to National Needs: The National Bureau of ...  

Science Conference Proceedings (OSTI)

... cargo tanks designed for the transport of liquefied natural gas (LNG) with an uncertainty of only +0.05 % of the total volume. ...

172

national total  

U.S. Energy Information Administration (EIA)

AC Argentina AR Aruba AA Bahamas, The BF Barbados BB Belize BH Bolivia BL Brazil BR Cayman Islands CJ ... World Total ww NA--Table Posted: December 8, ...

173

A quantum model for the stock market  

E-Print Network (OSTI)

Beginning with several basic hypotheses of quantum mechanics, we give a new quantum model in econophysics. In this model, we define wave functions and operators of the stock market to establish the Schr\\"odinger equation for the stock price. Based on this theoretical framework, an example of a driven infinite quantum well is considered, in which we use a cosine distribution to simulate the state of stock price in equilibrium. After adding an external field into the Hamiltonian to analytically calculate the wave function, the distribution and the average value of the rate of return are shown.

Chao Zhang; Lu Huang

2010-09-24T23:59:59.000Z

174

Ohio Distillate Fuel Oil Stocks at Refineries, Bulk Terminals, and ...  

U.S. Energy Information Administration (EIA)

Ohio Distillate Fuel Oil Stocks at Refineries, Bulk Terminals, and Natural Gas Plants (Thousand Barrels)

175

Wisconsin Propane and Propylene Stocks at Refineries, Bulk ...  

U.S. Energy Information Administration (EIA)

Wisconsin Propane and Propylene Stocks at Refineries, Bulk Terminals, and Natural Gas Plants (Thousand Barrels)

176

Michigan Finished Motor Gasoline Stocks at Refineries, Bulk ...  

U.S. Energy Information Administration (EIA)

Michigan Finished Motor Gasoline Stocks at Refineries, Bulk Terminals, and Natural Gas Plants (Thousand Barrels)

177

An efficient CMAC neural network for stock index forecasting  

Science Conference Proceedings (OSTI)

Stock index forecasting is one of the major activities of financial firms and private investors in making investment decisions. Although many techniques have been developed for predicting stock index, building an efficient stock index forecasting model ... Keywords: Back-propagation neural network, Cerebellar model articulation controller, Neural network, Stock index forecasting, Support vector regression

Chi-Jie Lu; Jui-Yu Wu

2011-11-01T23:59:59.000Z

178

Long-term Stock Market Forecasting using Gaussian Processes  

E-Print Network (OSTI)

Address3 email4 Abstract5 Forecasting stock market prices is an attractive topic to researchers from6 to analyze18 and forecast stock prices and index changes. The accuracy of these techniques is still an19-term predictions in stock prices.32 33 1.2 Motivation34 In stock market, investors need long-term forecasting

de Freitas, Nando

179

Alaska Prices, Sales Volumes & Stocks - U.S. Energy Information ...  

U.S. Energy Information Administration (EIA)

Prices, Sales Volumes & Stocks by State Area: Period: Download Series History: Definitions, Sources ...

180

Colorado Propane and Propylene Stocks at Refineries, Bulk ...  

U.S. Energy Information Administration (EIA)

Colorado Propane and Propylene Stocks at Refineries, Bulk Terminals, and Natural Gas Plants (Thousand Barrels)

Note: This page contains sample records for the topic "bureau total stocks" 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

Colorado Finished Motor Gasoline Stocks at Refineries, Bulk ...  

U.S. Energy Information Administration (EIA)

Colorado Finished Motor Gasoline Stocks at Refineries, Bulk Terminals, and Natural Gas Plants (Thousand Barrels)

182

South Dakota Distillate Fuel Oil Stocks at Refineries, Bulk ...  

U.S. Energy Information Administration (EIA)

South Dakota Distillate Fuel Oil Stocks at Refineries, Bulk Terminals, and Natural Gas Plants (Thousand Barrels)

183

South Dakota Propane and Propylene Stocks at Refineries, Bulk ...  

U.S. Energy Information Administration (EIA)

South Dakota Propane and Propylene Stocks at Refineries, Bulk Terminals, and Natural Gas Plants (Thousand Barrels)

184

Distillate Stocks Expected to Remain Low  

U.S. Energy Information Administration (EIA)

When EIA’s demand forecast is combined with its outlook for production and net imports, distillate stocks are projected to remain low for the rest of the year.

185

Macroeconomic determinants of the stock market movements: empirical evidence from the Saudi stock market.  

E-Print Network (OSTI)

??This dissertation investigates the long run and short run relationships between Saudi stock market returns and eight macroeconomic variables. We investigate the ability of these… (more)

Alshogeathri, Mofleh Ali Mofleh

2011-01-01T23:59:59.000Z

186

Total Imports  

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

Data Series: Imports - Total Imports - Crude Oil Imports - Crude Oil, Commercial Imports - by SPR Imports - into SPR by Others Imports - Total Products Imports - Total Motor Gasoline Imports - Finished Motor Gasoline Imports - Reformulated Gasoline Imports - Reformulated Gasoline Blended w/ Fuel Ethanol Imports - Other Reformulated Gasoline Imports - Conventional Gasoline Imports - Conv. Gasoline Blended w/ Fuel Ethanol Imports - Conv. Gasoline Blended w/ Fuel Ethanol, Ed55 & Ed55 Imports - Other Conventional Gasoline Imports - Motor Gasoline Blend. Components Imports - Motor Gasoline Blend. Components, RBOB Imports - Motor Gasoline Blend. Components, RBOB w/ Ether Imports - Motor Gasoline Blend. Components, RBOB w/ Alcohol Imports - Motor Gasoline Blend. Components, CBOB Imports - Motor Gasoline Blend. Components, GTAB Imports - Motor Gasoline Blend. Components, Other Imports - Fuel Ethanol Imports - Kerosene-Type Jet Fuel Imports - Distillate Fuel Oil Imports - Distillate F.O., 15 ppm Sulfur and Under Imports - Distillate F.O., > 15 ppm to 500 ppm Sulfur Imports - Distillate F.O., > 500 ppm to 2000 ppm Sulfur Imports - Distillate F.O., > 2000 ppm Sulfur Imports - Residual Fuel Oil Imports - Propane/Propylene Imports - Other Other Oils Imports - Kerosene Imports - NGPLs/LRGs (Excluding Propane/Propylene) Exports - Total Crude Oil and Products Exports - Crude Oil Exports - Products Exports - Finished Motor Gasoline Exports - Kerosene-Type Jet Fuel Exports - Distillate Fuel Oil Exports - Residual Fuel Oil Exports - Propane/Propylene Exports - Other Oils Net Imports - Total Crude Oil and Products Net Imports - Crude Oil Net Imports - Petroleum Products Period: Weekly 4-Week Avg.

187

Thermal Gradient Holes At Salt Wells Area (Bureau of Land Management, 2009)  

Open Energy Info (EERE)

Thermal Gradient Holes At Salt Wells Area (Bureau of Land Management, 2009) Thermal Gradient Holes At Salt Wells Area (Bureau of Land Management, 2009) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Thermal Gradient Holes At Salt Wells Area (Bureau of Land Management, 2009) Exploration Activity Details Location Salt Wells Geothermal Area Exploration Technique Thermal Gradient Holes Activity Date 2008 - 2008 Usefulness not indicated DOE-funding Unknown Exploration Basis Vulcan increased exploration efforts in the summer and fall of 2008, during which time the company drilled two temperature gradient holes (86-15 O on Pad 1 and 17-16 O on Pad 3); conducted seismic, gravity and magnetotelluric surveys; and drilled deep exploration wells at Pads 6 and 8 and binary wells at Pads 1, 2, 4, and 7. Notes

188

Single-Well and Cross-Well Seismic At Salt Wells Area (Bureau of Land  

Open Energy Info (EERE)

Single-Well and Cross-Well Seismic At Salt Wells Area (Bureau of Land Single-Well and Cross-Well Seismic At Salt Wells Area (Bureau of Land Management, 2009) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Single-Well and Cross-Well Seismic At Salt Wells Area (Bureau of Land Management, 2009) Exploration Activity Details Location Salt Wells Geothermal Area Exploration Technique Single-Well And Cross-Well Seismic Activity Date 2008 - 2008 Usefulness not indicated DOE-funding Unknown Exploration Basis Vulcan increased exploration efforts in the summer and fall of 2008, during which time the company drilled two temperature gradient holes (86-15 O on Pad 1 and 17-16 O on Pad 3); conducted seismic, gravity and magnetotelluric surveys; and drilled deep exploration wells at Pads 6 and 8 and binary

189

Western Region Renewable Energy Markets: Implications for the Bureau of Land Management  

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

Western Region Renewable Western Region Renewable Energy Markets: Implications for the Bureau of Land Management Scott Haase, Lynn Billman, and Rachel Gelman Produced under direction of the Bureau of Land Management by the National Renewable Energy Laboratory (NREL) under Interagency Agreement L11PG00030 and Task No WFH7.1004. Technical Report NREL/TP-6A20-53540 January 2012 NREL is a national laboratory of the U.S. Department of Energy, Office of Energy Efficiency & Renewable Energy, operated by the Alliance for Sustainable Energy, LLC. National Renewable Energy Laboratory 1617 Cole Boulevard Golden, Colorado 80401 303-275-3000 * www.nrel.gov Contract No. DE-AC36-08GO28308 Western Region Renewable Energy Markets: Implications for the Bureau of Land Management

190

Exploratory Well At Salt Wells Area (Bureau of Land Management, 2009) |  

Open Energy Info (EERE)

Exploratory Well At Salt Wells Area (Bureau of Land Management, 2009) Exploratory Well At Salt Wells Area (Bureau of Land Management, 2009) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Exploratory Well At Salt Wells Area (Bureau of Land Management, 2009) Exploration Activity Details Location Salt Wells Geothermal Area Exploration Technique Exploratory Well Activity Date 2008 - 2008 Usefulness not indicated DOE-funding Unknown Exploration Basis Vulcan increased exploration efforts in the summer and fall of 2008, during which time the company drilled two temperature gradient holes (86-15 O on Pad 1 and 17-16 O on Pad 3); conducted seismic, gravity and magnetotelluric surveys; and drilled deep exploration wells at Pads 6 and 8 and binary wells at Pads 1, 2, 4, and 7. Notes Data from these wells is proprietary, and so were unavailable for inclusion

191

DOE - Office of Legacy Management -- U S Bureau of Mines - UT 01  

Office of Legacy Management (LM)

UT 01 UT 01 FUSRAP Considered Sites Site: U. S. BUREAU OF MINES (UT.01) Eliminated from consideration under FUSRAP Designated Name: Not Designated Alternate Name: None Location: Salt Lake City , Utah UT.01-2 Evaluation Year: 1987 UT.01-1 Site Operations: Research and development on uranium recovery from ore in the late 1940s. UT.01-1 Site Disposition: Eliminated - Radiation levels below criteria UT.01-1 UT.01-2 Radioactive Materials Handled: Yes Primary Radioactive Materials Handled: Uranium UT.01-2 Radiological Survey(s): Yes UT.01-2 Site Status: Eliminated from consideration under FUSRAP Also see Documents Related to U. S. BUREAU OF MINES UT.01-1 - DOE Letter; Fiore to Schiager; Subject: Elimination of Bureau of Mines and University of Utah Sites from FUSRAP Consideration;

192

Ground Gravity Survey At Salt Wells Area (Bureau of Land Management, 2009)  

Open Energy Info (EERE)

Salt Wells Area (Bureau of Land Management, 2009) Salt Wells Area (Bureau of Land Management, 2009) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Ground Gravity Survey At Salt Wells Area (Bureau of Land Management, 2009) Exploration Activity Details Location Salt Wells Geothermal Area Exploration Technique Ground Gravity Survey Activity Date 2008 - 2008 Usefulness not indicated DOE-funding Unknown Exploration Basis Vulcan increased exploration efforts in the summer and fall of 2008, during which time the company drilled two temperature gradient holes (86-15 O on Pad 1 and 17-16 O on Pad 3); conducted seismic, gravity and magnetotelluric surveys; and drilled deep exploration wells at Pads 6 and 8 and binary wells at Pads 1, 2, 4, and 7. Notes Data from these wells is proprietary, and so were unavailable for inclusion

193

Development Wells At Salt Wells Area (Nevada Bureau of Mines and Geology,  

Open Energy Info (EERE)

Salt Wells Area (Nevada Bureau of Mines and Geology, Salt Wells Area (Nevada Bureau of Mines and Geology, 2009) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Development Wells At Salt Wells Area (Nevada Bureau of Mines and Geology, 2009) Exploration Activity Details Location Salt Wells Geothermal Area Exploration Technique Development Drilling Activity Date 2005 - 2005 Usefulness useful DOE-funding Unknown Exploration Basis AMP Resources, LLC drilled one of the first operating wells, Industrial Production Well PW-2, in the spring of 2005 under geothermal project area permit #568. Notes The well was completed to a depth of 143.6 m and a peak temperature of 145°C, as indicated by static temperature surveys. Wellhead temperatures at PW-2 were 140°C at a flow rate of 157.7 liters per minute, and no

194

File:Federal Hydropower - Bureau of Indian Affairs.pdf | Open Energy  

Open Energy Info (EERE)

Federal Hydropower - Bureau of Indian Affairs.pdf Federal Hydropower - Bureau of Indian Affairs.pdf Jump to: navigation, search File File history File usage Metadata File:Federal Hydropower - Bureau of Indian Affairs.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: 685 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 15:25, 22 May 2013 Thumbnail for version as of 15:25, 22 May 2013 1,275 × 1,650, 2 pages (685 KB) Graham7781 (Talk | contribs) You cannot overwrite this file. Edit this file using an external application (See the setup instructions for more information)

195

Restaurant Industry Stock Price Forecasting Model Utilizing Artificial Neural Networks to Combine Fundamental and Technical Analysis.  

E-Print Network (OSTI)

??Stock price forecasting is a classic problem facing analysts. Forcasting models have been developed for predicting individual stocks and stock indices around the world and… (more)

Dravenstott, Ronald W.

2012-01-01T23:59:59.000Z

196

Towards a Very Low Energy Building Stock: Modeling the US Commercial...  

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

Towards a Very Low Energy Building Stock: Modeling the US Commercial Building Stock to Support Policy and Innovation Planning Title Towards a Very Low Energy Building Stock:...

197

Property:StockSymbol | Open Energy Information  

Open Energy Info (EERE)

StockSymbol StockSymbol Jump to: navigation, search This is a property of type String. Pages using the property "StockSymbol" Showing 25 pages using this property. (previous 25) (next 25) A A.O. Smith + AOS + AAON + AAON + Alterra Power + MGMXF + Ameresco, Inc. + AMRC + Applied Materials + AMAT + Archer Daniels Midland + ADM + Autodesk + ADSK + C China Integrated Energy + CBEH + E EEMAP, Inc. + N/A + EnerNOC + ENOC + Evergreen Solar, Inc. + ESLR + ExxonMobil + XOM + G General Electric + GE + Geothermal Resources Council + Geothermal Resources Council + Goodwill Instrument + TPE 2423 + GreenShift Corporation + GERS.OB + Gulfsands Petroleum + AIM:GPX + H Helix Wind Corp. + HLXW + I ICF International + NASDAQ:ICFI + J Johnson Controls + JCI + M Molycorp Inc. + MCP +

198

U.S. Crude Oil Stocks  

Gasoline and Diesel Fuel Update (EIA)

5 5 Notes: U.S. crude oil stocks stood at about 289 million barrels on September 8, according to EIA's latest survey. This puts them about 24 million barrels below the level seen at the same time last year. Current market conditions do not suggest much improvement in the near term. We probably ended last month (August 2000) with the lowest level for end-of-August crude oil stocks (289 million barrels) in the United States since 1976, when crude oil inputs to refineries were about 2 million barrels per day less than today. However, by EIA data, we have seen (at least slightly) lower crude stocks in recent months, including an end-December 1999 level of 284 million barrels. The American Petroleum Institute (API), which also surveys petroleum supply and demand

199

Census Bureau. Field Experiences 2 Field Representative Experiences with the Current Population Survey  

E-Print Network (OSTI)

In September 2007, U.S. Census Bureau researchers completed a third pilot study on factors that contribute to gaining cooperation and successfully completing survey interviews. This pilot study was part of a larger effort to systematically study interview dynamics and how they affect respondent cooperation with Census Bureau surveys. The results of this study will add to extant data on two previous pilot studies on gaining cooperation behavior (Beck, Wright, & Petkunas, 2007). In 2006, we collected data from Program Coordinators, Program Supervisors, and Senior Field Representatives (SFRs) working on (Beck, Wright, & Petkunas, 2007). The current pilot study involved collecting information from a sample of Census Bureau survey interviewers, called Field Representatives (FRs), throughout the United States. Like these other “field ” employees, FRs work from one of the twelve Census Bureau Regional Offices, which are responsible for the management of field data collection. The FRs filled out a brief questionnaire asking them to list practices, techniques, and recommendations they felt were either successful or unsuccessful at gaining respondent cooperation with Current Population Survey (CPS) interviews. The CPS is a panel survey involving eight monthly interviews with each sampled household. Respondents complete four consecutive monthly interviews, rotate out

Jennifer Beck; Jennifer Beck

2008-01-01T23:59:59.000Z

200

Supply/Demand Forecasts Begin to Show Stock Rebuilding  

Gasoline and Diesel Fuel Update (EIA)

9 9 Notes: During 1999, we saw stock draws during the summer months, when we normally see stock builds, and very large stock draws during the winter of 1999/2000. Normally, crude oil production exceeds product demand in the spring and summer, and stocks build. These stocks are subsequently drawn down during the fourth and first quarters (dark blue areas). When the market is in balance, the stock builds equal the draws. During 2000, stocks have gradually built, but following the large stock draws of 1999, inventories needed to have been built more to get back to normal levels. As we look ahead using EIA's base case assumptions for OPEC production, non-OPEC production, and demand, we expect a more seasonal pattern for the next 3 quarters. But since we are beginning the year with

Note: This page contains sample records for the topic "bureau total stocks" 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

Low Distillate Stocks Set Stage for Price Volatility  

U.S. Energy Information Administration (EIA)

This distillate price spike is a classic response to a local supply and demand imbalance that began as a result of low distillate stocks. Low distillate stocks in the ...

202

U.S. Distillate Stocks - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Slide 5 of 27. Distillate Stocks. This slide shows the average U.S. distillate stock pattern -- building in the summer and fall, then being drawn down through the ...

203

Jiangsu FAW Foundry Stock Co Ltd | Open Energy Information  

Open Energy Info (EERE)

FAW Foundry Stock Co Ltd Jump to: navigation, search Name Jiangsu FAW Foundry Stock Co Ltd Place Wuxi, Jiangsu Province, China Sector Wind energy Product Wuxi-based JV set up...

204

Propane/Propylene Natural Gas Processing Plant Stocks by Type  

U.S. Energy Information Administration (EIA)

Stock Type: Download Series History: Definitions, Sources & Notes: Show Data By: Product: Stock Type: Area: Jan-13 Feb-13 Mar-13 Apr-13 May-13 Jun-13 View History; U ...

205

Residual Fuel Oil Bulk Terminal Stocks by Type  

U.S. Energy Information Administration (EIA)

Stock Type: Download Series History: Definitions, Sources & Notes: Show Data By: Product: Stock Type: Area: Jan-13 Feb-13 Mar-13 Apr-13 May-13 Jun-13 View History; U ...

206

Policy Consequences of Better Stock Estimates in Pacific Halibut Fisheries  

E-Print Network (OSTI)

the effect of halibut price, stock biomass, on the amount ofbiomass over time. The measurement equa- equation tions include a priceprice The is catch in determined equation area storage describes the effect of effort and stock biomass

Berck, Peter; Johns, Grace

1985-01-01T23:59:59.000Z

207

Ohio Refinery, Bulk Terminal, and Natural Gas Plant Stocks of ...  

U.S. Energy Information Administration (EIA)

-No Data Reported; --= Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Notes: Distillate stocks ...

208

Michigan Refinery, Bulk Terminal, and Natural Gas Plant Stocks of ...  

U.S. Energy Information Administration (EIA)

-No Data Reported; --= Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Notes: Distillate stocks ...

209

Idaho Refinery, Bulk Terminal, and Natural Gas Plant Stocks of ...  

U.S. Energy Information Administration (EIA)

-No Data Reported; --= Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Notes: Distillate stocks ...

210

Fear and its implications for stock markets  

E-Print Network (OSTI)

The value of stocks indices, and other assets, are examples of stochastic processes that drop and raise in unpredictable ways. In this paper, we discuss certain asymmetries in short term price movements that can not be attributed to a long term increasing trend. These empirical asymmetries predict that price drops in stock indices on a relatively short time scale are more common than the corresponding price raises, and we present several empirical examples of such asymmetries. Furthermore, a simple model is introduced with the aim of explaining these facts. The prime idea is to introduce occasional, short periods of dropping stock prices that are synchronized for all stocks of the index. These collective negative price movements are imagined to be triggered by external factors in our society that create fear for the future among the investors. In the model this is parameterized by a ``fear factor'' defining how often such events take place. It is demonstrated that such a simple fear factor model can reproduce...

Simonsen, I; Jensen, M H; Donangelo, R; Sneppen, K; Simonsen, Ingve; Ahlgren, Peter Toke Heden; Jensen, Mogens H.; Donangelo, Raul; Sneppen, Kim

2006-01-01T23:59:59.000Z

211

A new Loan-Stock Financial Instrument  

E-Print Network (OSTI)

A new financial instrument (a new kind of a loan) is introduced. The loan-stock instrument (LSI) combines fixed rate instruments (loans, etc.) with other financial instruments that have higher volatilities and returns (stocks, mutual funds, currencies, derivatives, options, etc.). This new loan depends on the value of underlying security (for example, stock) in such a way that when underlying security increases, the value of loan decreases and backwards. The procedure to create a risk free portfolio and a technique to fairly price the LSI is described. The philosophy behind this procedure is quite similar to the Black-Scholes formalism in option theory. Creation of the risk free portfolio is possible because the change in the underlying security offsets the change in the value of the loan (or the amount that the borrower has to repay). The new financial instrument takes an advantage of the fact that on average the stock market grows in time. It is beneficial for both the borrower and the lender. The LSI is more attractive for the borrower than the traditional loan is due to the decrease in the amount that has to be repaid. This attractiveness constitutes the benefit for the lender in terms of the market share among the borrowers. In addition, the lender can charge the extra premium.

Alexander Morozovsky; Rajan Narasimhan; Yuri Kholodenko

2000-07-01T23:59:59.000Z

212

Game Analysis of the Evolution of Artificial Stock Market  

Science Conference Proceedings (OSTI)

In this paper, we build the participators’ logistic model of the game model in artificial stock market. The participators are three types: flexible agent, semi-flexible agent and rigidity agent. Then, we set up the game model in artificial stock ... Keywords: Artificial stock market, Game model, Agent

She Zhenyu; Yan Bo

2010-12-01T23:59:59.000Z

213

Using Neural Networks to Forecast Stock Market Prices Ramon Lawrence  

E-Print Network (OSTI)

Using Neural Networks to Forecast Stock Market Prices Ramon Lawrence Department of Computer Science on the application of neural networks in forecasting stock market prices. With their ability to discover patterns. Section 3 covers current analytical and computer methods used to forecast stock market prices

Lawrence, Ramon

214

Do Firms Choose Their Stock Liquidity? A Study of Innovative Firms and Their Stock Liquidity ?  

E-Print Network (OSTI)

We ask whether firms can choose, or at least influence, their stock liquidity. We analyze a sample of firms that, we hypothesize, will value stock liquidity more than other firms – innovative firms that primarily hold intangible assets and expect to raise capital from the stock market. Consistent with their reliance on equity markets, we find that innovative firms have higher liquidity and that they take a variety of actions (e.g., frequent earnings guidance, stock splits etc) that help keep their stock more liquid. Maintaining liquidity appears to be less of a concern when innovative firms have greater access to other sources of capital. Given their low leverage, there is greater reliance on monitoring by large equity-holders and incentive contracts to help resolve agency issues, rather than banks or other creditors: consistent with the greater institutional ownership, higher likelihood of blockholders, and more incentivized CEO compensation contracts in these firms. The marginal impact on firm value (Tobin’s Q) of a plausibly exogenous increase in liquidity (e.g., following decimalization of stock prices) is greater for innovative firms, especially when CEOs have strong incentive contracts. Innovative activity tends to increase in the wake of such liquidity enhancements.

Nishant Dass; Vikram N; Steven Chong Xiao; Nikunj Kapadia; Simi Kedia; Pete Kyle; Er Ljungqvist

2012-01-01T23:59:59.000Z

215

DOE - Office of Legacy Management -- U S Bureau of Mines Reno Station - NV  

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

Reno Station - Reno Station - NV 06 FUSRAP Considered Sites Site: U.S. BUREAU OF MINES RENO STATION (NV.06) Eliminated from consideration under FUSRAP Designated Name: Not Designated Alternate Name: U.S. BOM Metallurgy Research Center, Dept of the Interior NV.06-1 Location: 1605 Evans Avenue , Reno , Nevada NV.06-1 NV.06-2 Evaluation Year: 1987 NV.06-1 Site Operations: Research and development activities involving uranium. NV.06-2 Site Disposition: Eliminated - Potential for contamination remote NV.06-3 Radioactive Materials Handled: Yes Primary Radioactive Materials Handled: Uranium NV.06-2 Radiological Survey(s): None Indicated Site Status: Eliminated from consideration under FUSRAP Also see Documents Related to U.S. BUREAU OF MINES RENO STATION NV.06-1 - Memorandum/Checklist; Wallo to the File; Subject: U.S.

216

Tebian Electric Apparatus Stock Co Ltd TBEA | Open Energy Information  

Open Energy Info (EERE)

Tebian Electric Apparatus Stock Co Ltd TBEA Tebian Electric Apparatus Stock Co Ltd TBEA Jump to: navigation, search Name Tebian Electric Apparatus Stock Co Ltd (TBEA) Place Changji, Xinjiang Autonomous Region, China Zip 831100 Sector Solar Product TBEA makes transformer products and aluminium foil, and also solar energy equipment. References Tebian Electric Apparatus Stock Co Ltd (TBEA)[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Tebian Electric Apparatus Stock Co Ltd (TBEA) is a company located in Changji, Xinjiang Autonomous Region, China . References ↑ "Tebian Electric Apparatus Stock Co Ltd (TBEA)" Retrieved from "http://en.openei.org/w/index.php?title=Tebian_Electric_Apparatus_Stock_Co_Ltd_TBEA&oldid=352059

217

The Bureau of Mines shock-prevention research program - An overview  

SciTech Connect

The purpose of the US Department of Interior's Bureau of Mines shock-prevention research program is to improve general electrical safety in mines by preventing shock and electrocution through investigation of protective devices and equipment design. Research has focused on several areas having underground and surface application. Recent results highlighted and current projects summarized for sensitive ground, fault protection, dead front construction, shielded trailing cables, earth grounding, and overhead powerline safety.

Yenchek, M.R.

1986-09-01T23:59:59.000Z

218

NATIONAL ENERGY POLICY Taking Stock A  

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

Taking Stock Taking Stock A merica's current energy challeng- es can be met with rapidly im- proving technology, dedicated leadership, and a comprehensive approach to our energy needs. Our challenge is clear-we must use tech- nology to reduce demand for energy, re- pair and maintain our energy infrastruc- ture, and increase energy supply. Today, the United States remains the world's undisput- ed technological leader; but recent events have demonstrated that we have yet to inte- grate 21st-century technology into an ener- gy plan that is focused on wise energy use, production, efficiency, and conservation. Prices today for gasoline, heating oil, and natural gas are dramatically higher than they were only a year ago. In Califor- nia, homeowners, farmers, and businesses face soaring electricity prices, rolling

219

Maximum entropy distribution of stock price fluctuations  

E-Print Network (OSTI)

The principle of absence of arbitrage opportunities allows obtaining the distribution of stock price fluctuations by maximizing its information entropy. This leads to a physical description of the underlying dynamics as a random walk characterized by a stochastic diffusion coefficient and constrained to a given value of the expected volatility, taking in this way into account the information provided by the existence of an option market. This model is validated by a comprehensive comparison with observed distributions of both price return and diffusion coefficient. Expected volatility is the only parameter in the model and can be obtained by analysing option prices. We give an analytic formulation of the probability density function for price returns which can be used to extract expected volatility from stock option data. This distribution is of high practical interest since it should be preferred to a Gaussian when dealing with the problem of pricing derivative financial contracts.

Bartiromo, Rosario

2011-01-01T23:59:59.000Z

220

Transfer Entropy Analysis of the Stock Market  

E-Print Network (OSTI)

In terms of transfer entropy, we investigated the strength and the direction of information transfer in the US stock market. Through the directionality of the information transfer, the more influential company between the correlated ones can be found and also the market leading companies are selected. Our entropy analysis shows that the companies related with energy industries such as oil, gas, and electricity influence the whole market.

Baek, S K; Kwon, O; Moon, H T; Baek, Seung Ki; Jung, Woo-Sung; Kwon, Okyu; Moon, Hie-Tae

2005-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "bureau total stocks" 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

Kokanee Stock Status and Contribution of Cabinet Gorge Hatchery, Lake Pend Oreille, Idaho, Final Report.  

DOE Green Energy (OSTI)

Lake Pend Oreille once provided the most popular kokanee Oncorhynchus nerka fishery in northern Idaho. A dramatic decline in the population occurred from the mid-1960s to 1970s. Restoration efforts included construction of the Cabinet Gorge Fish Hatchery to supplement the wild population and restore the fishery. In this study, hatchery-reared age 0 kokanee were stocked into Lake Pend Oreille from 1986 through 1992. Seven experimental stocking strategies for kokanee were tested using five locations and two time periods (early May through early June or late July). In 1985, the age 3 and older kokanee totaled about 0.35 million, but rose to 0.78 million in 1986, was stable, was then followed by a decline in 1990 to 0.53 million, then improved to 1.75 million in 1992. Much of the annual variation in total numbers of kokanee, ranging from 4.5 million to 10.2 million, was due to hatchery stockings of age 0 fish. Standing stocks of kokanee remained stable and ranged from 8 to 10 kg/hectare de spite dramatic changes in density due to age 0 fish. Prior to this study (1985), standing stocks were substantially higher (mean = 13.6 kg/hectare), indicating that the population may be operating below carrying capacity. The authors found survival of age 0 hatchery kokanee by each release season to range from 3% in 1986 to 39% in 1992, while the mean from 1987 through 1992 was 23%. They found significant (P=0.05) differences in survival between years, but they could not detect differences between stocking locations (P>0.71). Their analysis of survival between time (early vs late) and location was weak and inconclusive because after 1989 they had fewer fish to stock and could not repeat testing of some release strategies. They believe some of the variation in survival between release groups each year was due to the length of time between release in the lake and trawling.

Paragamian, Vaugh L.

1994-07-01T23:59:59.000Z

222

Bureau of Land Management: A Successful ESPC Across Six States (Fact Sheet), Federal Energy Management Program (FEMP)  

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

Anasazi Heritage Center in Dolores, Colorado. Photo from Bureau of Land Management Anasazi Heritage Center in Dolores, Colorado. Photo from Bureau of Land Management Bureau of Land Management: A Successful ESPC Across Six States The U.S. Department of the Interior (DOI) Bureau of Land Management (BLM) successfully implemented an energy savings performance contract (ESPC) with Johnson Controls, Inc. (JCI) to implement energy efficiency improve- ments at remote BLM sites. This $3.6 million project covered small BLM facili- ties across six western states (Colorado, Idaho, Montana, Nevada, Oregon, and Wyoming), which make up half of the states that the BLM covers. BLM has hundreds of buildings of various types and sizes, mostly located in smaller western towns. Most field offices

223

Bureau of Land Management: A Successful ESPC Across Six States (Fact Sheet), Federal Energy Management Program (FEMP)  

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

Anasazi Heritage Center in Dolores, Colorado. Photo from Bureau of Land Management Anasazi Heritage Center in Dolores, Colorado. Photo from Bureau of Land Management Bureau of Land Management: A Successful ESPC Across Six States The U.S. Department of the Interior (DOI) Bureau of Land Management (BLM) successfully implemented an energy savings performance contract (ESPC) with Johnson Controls, Inc. (JCI) to implement energy efficiency improve- ments at remote BLM sites. This $3.6 million project covered small BLM facili- ties across six western states (Colorado, Idaho, Montana, Nevada, Oregon, and Wyoming), which make up half of the states that the BLM covers. BLM has hundreds of buildings of various types and sizes, mostly located in smaller western towns. Most field offices

224

Last-Minute Energy Saving Stocking Stuffers | Department of Energy  

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

Last-Minute Energy Saving Stocking Stuffers Last-Minute Energy Saving Stocking Stuffers Last-Minute Energy Saving Stocking Stuffers December 23, 2013 - 12:13pm Addthis There are all sorts of small energy-efficient presents available for stuffing stockings this year. | Photo courtesy of ©iStockphoto.com/DNY59 There are all sorts of small energy-efficient presents available for stuffing stockings this year. | Photo courtesy of ©iStockphoto.com/DNY59 Christina Stowers Communications Specialist in the Office of Weatherization and Intergovernmental Program How can I participate? Keep an eye out for these small, energy saving gifts as you do your last minute shopping this year. Looking for some last minute stocking stuffers to complement the holiday gifts you've purchased for your loved ones? We covered a few

225

Low Distillate Stocks Set Stage for Price Volatility  

Gasoline and Diesel Fuel Update (EIA)

Along with the recent rise in crude oil prices, low stocks of Along with the recent rise in crude oil prices, low stocks of distillate fuels left markets in a vulnerable position. As we went into our two biggest distillate demand months, January and February, U.S. distillate stocks were very low -- particularly on the East and Gulf Coasts. The East Coast is the primary heating oil region, and it depends heavily on production from the Gulf Coast as well. Distillate stocks in the U.S. and Europe were in surplus supply as recently as October, but distillate stocks did not build as they usually do during the late fall, and declined more sharply than usual in December. December stocks closed well below the normal range. The unusual drawdown, in contrast to the more normal building pattern, resulted in distillate inventory levels about 3 million barrels lower than the very low

226

Distillate Stocks Are Important Part of Northeast Winter Supply  

Gasoline and Diesel Fuel Update (EIA)

1 of 15 1 of 15 Notes: Why do stocks matter in the Northeast? Stocks are normally an important part of PADD 1 winter distillate supply. Over the last 5 years, they provided about 15% of supply during the peak winter months of January and February. One of the biggest stock draws we have seen was in January 1994, when a prolonged severe cold spell required 666 MB/D of stocks, covering almost 36% of demand for that month. PADD 1 refineries meet about 25% of demand during January and February, and other PADDs -- mostly PADD 3 -- supply 45-50% of the regionÂ’s needs. Imports generally supply about as much as stocks during the peak months, with most of the product coming from Canada, the Virgin Islands and Venezuela. Percentages do not tell the whole story. Stocks supply close to 300

227

The investigation of the market disequilibrium in the stock market.  

E-Print Network (OSTI)

??This thesis investigated stock market disequilibrium focusing on two topics: the impact of multiple market makers on the market disequilibrium at the market microstructure level,… (more)

Park, Jin Suk

2013-01-01T23:59:59.000Z

228

Normal Butane/Butylene Refinery Stocks by Type  

U.S. Energy Information Administration (EIA)

-No Data Reported; --= Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Notes: Crude oil stocks in the ...

229

NIST 2002 Stock Study of Malcolm Baldrige National Quality ...  

Science Conference Proceedings (OSTI)

... Stock Purchases. December 2, 2002 Close. Price, $ Invested, Price, $ Value, % Change. 11/2/92. CitiGroup (AT&T Universal Card Services). 44.125 ...

2011-07-14T23:59:59.000Z

230

U.S. Motor Gasoline Blending Components Stocks by Type  

U.S. Energy Information Administration (EIA)

-No Data Reported; --= Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Notes: Crude oil stocks in the ...

231

East Coast (PADD 1) Crude Oil Stocks by Type  

U.S. Energy Information Administration (EIA)

-No Data Reported; --= Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Notes: Crude oil stocks in the ...

232

East Coast (PADD 1) Liquefied Petroleum Gases Stocks by Type  

U.S. Energy Information Administration (EIA)

-No Data Reported; --= Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Notes: Crude oil stocks in the ...

233

Stocks by Type - Rocky Mountain (PADD 4) CBOB Gasoline Blending ...  

U.S. Energy Information Administration (EIA)

-No Data Reported; --= Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Notes: Crude oil stocks in the ...

234

Rocky Mountain (PADD 4) Crude Oil Stocks by Type  

U.S. Energy Information Administration (EIA)

-No Data Reported; --= Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Notes: Crude oil stocks in the ...

235

Stocks of Reformulated Gasoline - U.S. Energy Information ...  

U.S. Energy Information Administration (EIA)

-No Data Reported; --= Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Notes: Stocks include those ...

236

Table 3.4 Petroleum Stocks (Million Barrels)  

U.S. Energy Information Administration (EIA)

U.S. Energy Information Administration / Monthly Energy Review October 2013 47 Table 3.4 Petroleum Stocks (Million Barrels) Crude Oila Distillate

237

U.S. Renewable Diesel Fuel Stocks by Type  

U.S. Energy Information Administration (EIA)

-No Data Reported; --= Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Notes: Crude oil stocks in the ...

238

Residuum Refinery Stocks by Type - Energy Information Administration  

U.S. Energy Information Administration (EIA)

-No Data Reported; --= Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Notes: Crude oil stocks in the ...

239

U.S. Asphalt and Road Oil Stocks by Type  

U.S. Energy Information Administration (EIA)

-No Data Reported; --= Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Notes: Crude oil stocks in the ...

240

Crude Oil Non-SPR Stocks by Type  

U.S. Energy Information Administration (EIA)

-No Data Reported; --= Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Notes: Crude oil stocks in the ...

Note: This page contains sample records for the topic "bureau total stocks" 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

Conventional Gasoline Blended Bulk Terminal Stocks by Type  

U.S. Energy Information Administration (EIA)

-No Data Reported; --= Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Notes: Crude oil stocks in the ...

242

U.S. Crude Oil Stocks by Type  

U.S. Energy Information Administration (EIA)

-No Data Reported; --= Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Notes: Crude oil stocks in the ...

243

Stocks of Distillate Fuel Oil 15 ppm Sulfur and Under  

U.S. Energy Information Administration (EIA)

-No Data Reported; --= Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Notes: Stocks include those ...

244

PADD 1 Stocks of Crude Oil and Petroleum Products  

U.S. Energy Information Administration (EIA)

-No Data Reported; --= Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Notes: Stocks include those ...

245

Ethane/Ethylene Natural Gas Processing Plant Stocks by Type  

U.S. Energy Information Administration (EIA)

-No Data Reported; --= Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Notes: Crude oil stocks in the ...

246

Stocks of SPR Crude Oil - Energy Information Administration  

U.S. Energy Information Administration (EIA)

-No Data Reported; --= Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Notes: Stocks include those ...

247

MTBE Pipeline Stocks by Type - Energy Information Administration  

U.S. Energy Information Administration (EIA)

-No Data Reported; --= Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Notes: Crude oil stocks in the ...

248

Crude Oil Tank Farms and Pipelines Stocks by Type  

U.S. Energy Information Administration (EIA)

-No Data Reported; --= Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Notes: Crude oil stocks in the ...

249

Kerosene-Type Jet Fuel Refinery Stocks by Type  

U.S. Energy Information Administration (EIA)

-No Data Reported; --= Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Notes: Crude oil stocks in the ...

250

Asphalt and Road Oil Bulk Terminal Stocks by Type  

U.S. Energy Information Administration (EIA)

-No Data Reported; --= Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Notes: Crude oil stocks in the ...

251

Stocks of Distillate Fuel Oil - Energy Information Administration  

U.S. Energy Information Administration (EIA)

-No Data Reported; --= Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Notes: Stocks include those ...

252

Crude Oil Strategic Petroleum Reserve Stocks by Type  

U.S. Energy Information Administration (EIA)

-No Data Reported; --= Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Notes: Crude oil stocks in the ...

253

Crude Oil Alaskan in Transit Stocks by Type  

U.S. Energy Information Administration (EIA)

-No Data Reported; --= Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Notes: Crude oil stocks in the ...

254

Crude Oil and Petroleum Products Bulk Terminal Stocks by Type  

U.S. Energy Information Administration (EIA)

-No Data Reported; --= Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Notes: Crude oil stocks in the ...

255

Midwest (PADD 2) Stocks of Crude Oil and Petroleum Products  

U.S. Energy Information Administration (EIA)

-No Data Reported; --= Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Notes: Stocks include those ...

256

Jefferson Lab Science Series - The Physics of Stock Car Racing...  

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

Archive Next Video (Understanding Flight) Understanding Flight The Physics of Stock Car Racing from a NASCAR Champion's Perspective Dr. Scott Winters - Lawrence Livermore...

257

Distillate Stocks Are Important Part of East Coast Winter Supply  

Gasoline and Diesel Fuel Update (EIA)

of supply when anything unexpected occurs, and they supply a significant portion of demand during the peak heating season. Stocks are normally an important part of PADD 1...

258

Cushing, Oklahoma Stocks of Crude Oil and Petroleum Products  

U.S. Energy Information Administration (EIA)

-No Data Reported; --= Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Notes: Stocks include those ...

259

U.S. Ethane/Ethylene Stocks by Type  

U.S. Energy Information Administration (EIA)

-No Data Reported; --= Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Notes: Crude oil stocks in the ...

260

Refinery Grade Butane Bulk Terminal Stocks by Type  

U.S. Energy Information Administration (EIA)

-No Data Reported; --= Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Notes: Crude oil stocks in the ...

Note: This page contains sample records for the topic "bureau total stocks" 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

Isobutane/Butylene Bulk Terminal Stocks by Type  

U.S. Energy Information Administration (EIA)

-No Data Reported; --= Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Notes: Crude oil stocks in the ...

262

U.S. Refinery Grade Butane Stocks by Type  

U.S. Energy Information Administration (EIA)

-No Data Reported; --= Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Notes: Crude oil stocks in the ...

263

Midwest (PADD 2) Refinery Grade Butane Stocks by Type  

U.S. Energy Information Administration (EIA)

-No Data Reported; --= Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Notes: Crude oil stocks in the ...

264

Gulf Coast (PADD 3) Refinery Grade Butane Stocks at Bulk ...  

U.S. Energy Information Administration (EIA)

Gulf Coast (PADD 3) Refinery Grade Butane Stocks at Bulk Terminals (Thousand Barrels) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec; 2005: 935: ...

265

Chapter 3. Fossil-Fuel Stocks for Electricity Generation  

U.S. Energy Information Administration (EIA)

U.S. Energy Information Administration/Electric Power Monthly June 2012 69 Chapter 3. Fossil-Fuel Stocks for Electricity Generation

266

Stocks of Motor Gasoline RBOB with Alcohol Blending Components  

U.S. Energy Information Administration (EIA)

-No Data Reported; --= Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Notes: Stocks include those ...

267

Stocks of Finished Motor Gasoline - U.S. Energy Information ...  

U.S. Energy Information Administration (EIA)

-No Data Reported; --= Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Notes: Stocks include those ...

268

Stocks of All Other Motor Gasoline Blending Components  

U.S. Energy Information Administration (EIA)

-No Data Reported; --= Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Notes: Stocks include those ...

269

Distillate Stocks Are Important Part of East Coast Winter Supply  

U.S. Energy Information Administration (EIA)

One of the biggest stock draws we have seen was in January 1994, ... and if cold weather increases demand, resupply from these sources can take several weeks. ...

270

Stocks of Conventional Gasoline Blended with Fuel Ethanol  

U.S. Energy Information Administration (EIA)

-No Data Reported; --= Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Notes: Stocks include those ...

271

U.S. Propane Stocks - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Even if the near-record corn crop boosts dryer demand higher than expected, or 10 percent colder weather than normal occurs, stocks should be adequate for winter ...

272

5. Petroleum Stocks: Causes and Effects of Lower Inventories  

U.S. Energy Information Administration (EIA)

Energy Information Administration / Petroleum 1996: Issues and Trends 85 Stocks are needed to keep petroleum supplies moving smoothly from wellhead to ...

273

Hybrid Kansei-SOM model using risk management and company assessment for stock trading  

Science Conference Proceedings (OSTI)

Risk management and stock assessment are key methods for stock trading decisions. In this paper, we present a new stock trading method using Kansei evaluation integrated with a Self-Organizing Map model for improvement of a stock trading system. The ... Keywords: Hybrid intelligent trading system, Investment risk, Kansei evaluation, Risk management, Self-Organizing Map, Stock trading system

Hai V. Pham, Eric W. Cooper, Thang Cao, Katsuari Kamei

2014-01-01T23:59:59.000Z

274

Recent Trends in Crude Oil Stock Levels  

Gasoline and Diesel Fuel Update (EIA)

J J J J J J J J J J J J J J J J J J J J J J J J J J J J J J J J J 0 280 300 320 340 360 380 400 420 1981 1982 1983 1984 1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 Average Range: 1993-1995 Recent Trends in Crude Oil Stock Levels by Aileen A. Bohn Energy Information Administration (EIA) data for March 1996 primary inventories of crude oil were the lowest recorded in almost 20 years. Crude oil inventories, which were generally on a downward trend since the beginning of 1995, fell below the average range in July 1995 and have yet to recover (Figure FE1). On September 27, 1996, crude oil stocks registered 303 million barrels, compared to a normal range of nearly 311 to 332 million barrels for September. 1 Low crude oil inventories can cause price volatility in crude oil markets. 2 When inventories are low, refiners resort to

275

Northern Gulf of Mexico Continental Shelf Stock  

E-Print Network (OSTI)

waters from 20 to 200m deep in the northern Gulf from the U.S.-Mexican border to the Florida Keys (Figure 1). Both “coastal ” and “offshore ” ecotypes of bottlenose dolphins occur in the Gulf of Mexico (Hersh and Duffield 1990; LeDuc and Curry 1998). The Continental Shelf Stock probably consists of a mixture of both the coastal and offshore ecotypes. The offshore and coastal ecotypes are genetically distinct using both mitochondrial and nuclear markers (Hoelzel et al. 1998). In the northwestern Atlantic, Torres et al. (2003) found a statistically significant break in the distribution of the ecotypes at 34 km from shore. The offshore ecotype was found exclusively seaward of 34km and in waters deeper than 34 m. Within 7.5km of shore, all animals were of the coastal ecotype. The continental shelf is much wider in the Gulf of Mexico so these results may not apply. The continental shelf stock range may extend into Mexican and Cuban territorial waters; however, there are no available estimates of either abundance or mortality from those countries. A stranded dolphin from the Florida Panhandle was rehabilitated and released over the shelf off western Florida, and traveled into the Atlantic Ocean (Wells et al. 1999). The bottlenose dolphins inhabiting waters <20m deep in

Bottlenose Dolphin (tursiops Truncatus Truncatus

2012-01-01T23:59:59.000Z

276

Paper Millionaires: How Valuable is Stock to a Stockholder Who is Restricted from Selling it?  

E-Print Network (OSTI)

this is because taking additional stock market risk helpsrisk of the restricted stock by taking o?setting positionsuse his illiquid stock as collateral for taking a net short

Kahl, Matthias; Liu, Jun; Longstaff, Francis A

2001-01-01T23:59:59.000Z

277

U.S. Atlantic and Gulf of Mexico Marine Mammal Stock Assessments -2012  

E-Print Network (OSTI)

iv U.S. Atlantic and Gulf of Mexico Marine Mammal Stock Assessments - 2012 Volume 1 Gordon T Atlantic Stock __________________________________104 Gulf Of Mexico Cetacean Species Sperm Whale (Physeter macrocephalus): Northern Gulf of Mexico Stock _______________________________112 Bryde's Whale (Balaenoptera

278

Table 2. U.S. Biodiesel Production, Sales, and Stocks  

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

U.S. Biodiesel Production, Sales, and Stocks U.S. Biodiesel Production, Sales, and Stocks (million gallons) Period 2011 January 35 22 9 17 4 February 40 27 13 17 1 March 60 41 17 19 2 April 71 47 22 21 2 May 77 50 27 23 2 June 81 62 24 19 (4)

279

Uranium Stocks in Slovenia for Nuclear Power Author: Matic Suhodolcan  

E-Print Network (OSTI)

Seminar Uranium Stocks in Slovenia for Nuclear Power Plant NEK Author: Matic Suhodolcan Supervisor and that reopening would make sense. We try to calculate the years of operating NEK only with uranium ore for reprocessing fuel. #12;Uranium Stocks in Slovenia for Slovenian Nuclear Power Plant NEK Matic Suhodolcan FMF 2

Prosen, TomaÂ?

280

Time Series Analysis and Forecasting in Stock Market Investments  

E-Print Network (OSTI)

Time Series Analysis and Forecasting in Stock Market Investments Ted Chi-Wei Fung Department and forecasting have been used as methods to help precisely on the task of stock market prediction by using past data. This paper will discuss three different models to create a time series analysis and forecast

Zanibbi, Richard

Note: This page contains sample records for the topic "bureau total stocks" 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

Value-Added Stock Loan Participation Program | Department of Energy  

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

Value-Added Stock Loan Participation Program Value-Added Stock Loan Participation Program Value-Added Stock Loan Participation Program < Back Eligibility Agricultural Savings Category Bioenergy Solar Buying & Making Electricity Wind Maximum Rebate RFA provides up to 45% of the loan up to $40,000 of loan principal Program Info Start Date 1994 State Minnesota Program Type State Loan Program Provider Minnesota Department of Agriculture The Value-Added Stock Loan Participation Program was created in 1994 and is designed to help farmers finance the purchase of stock in certain types of cooperative, limited liability company, or limited liability partnership that will produce a "value-added agricultural product." This may include wind energy and anaerobic-digestion cooperatives if they meet the

282

Distillate Stocks Are Important Part of East Coast Winter Supply  

Gasoline and Diesel Fuel Update (EIA)

5 5 Notes: Stocks are important in the Northeast because they are the nearest source of supply when anything unexpected occurs, and they supply a significant portion of demand during the peak heating season. Stocks are normally an important part of East Coast winter distillate supply. Over the last 10 years, they provided about 15% of supply during the peak winter months of January and February. One of the biggest stock draws we have seen was in January 1994, when a prolonged severe cold spell required 666,000 barrels per day of stocks, covering almost 36% of demand for that month. On average, stocks supply the East Coast with about 260,000 barrels per day on average in January and 280,000 barrels per day in February. Those supplies represent draws of about 8 million barrels in one month.

283

Distillate Stocks Are Important Part of East Coast Winter Supply  

Gasoline and Diesel Fuel Update (EIA)

8 8 Notes: Why do stocks matter in the Northeast? They are the nearest source of supply when anything unexpected occurs, and they supply a significant portion of demand during the peak heating season. Stocks are normally an important part of PADD 1 winter distillate supply. Over the last 10 years, they provided about 15% of supply during the peak winter months of January and February. One of the biggest stock draws we have seen was in January 1994, when a prolonged severe cold spell required 666 MB/D of stocks, covering almost 36% of demand for that month. Stocks supply the East Coast with about 260 MB/D on average in January and 280 MB/D in February. Those supplies represent draws of about 8 million barrels in one month. PADD 1 refineries meet about 25% of demand during January and

284

Distillate Stocks Are Important Part of Northeast Winter Supply  

Gasoline and Diesel Fuel Update (EIA)

The weather alone was not enough to cause the price spike. The low The weather alone was not enough to cause the price spike. The low stocks left the area vulnerable to sudden changes in the market, such as the weather change. Why do stocks matter in the Northeast? Stocks are normally an important part of PADD 1 winter distillate supply. Over the last 5 years, PADD 1 stocks provided about 15% of supply during the peak winter months of January and February. They are the closest source of supply to the consumer. PADD 1 depends on about 60% of its supply from distant sources such as the Gulf Coast or imports, which can take several weeks to travel to the Northeast. Even product from East Coast refineries, if capacity is available, may take a week before it is produced and delivered to the regions needing new supply. Thus, stocks must be able

285

Distillate Stocks Are Important Part of East Coast Winter Supply  

Gasoline and Diesel Fuel Update (EIA)

Stocks are normally an important part of East Coast winter Stocks are normally an important part of East Coast winter distillate supply, since they are the nearest source when anything unexpected occurs, and they supply a significant portion of demand during the peak heating season. Over the last 10 years, stocks have provided about 15% of supply during the peak winter months of January and February. On average, stocks supply the East Coast with about 260 thousand barrels per day in January and 280 in February. Those supplies represent draws of about 8 million barrels in one month. In addition, East Coast refineries meet about 25% of demand during January and February, and other regions -- mostly the Gulf Coast -- supply 40-50% of the region's needs. Imports generally supply about as much as stocks during the peak

286

Recovery May Require Holding Stocks Level in February and March  

Gasoline and Diesel Fuel Update (EIA)

have dropped back as new supplies are appearing, but we still have dropped back as new supplies are appearing, but we still have nearly a month of winter ahead of us. Stocks cannot drop much farther. February 4 stock levels were just above the lowest month-end levels ever seen for PADD 1, which occurred in April 1996. For stocks to recover to the low end of the normal range, they would have to stay level in February in March, when normally they would be used to meet demand. Keeping stocks level would require finding supply to substitute for the average stock drops of 290 thousand barrels per day (8 million barrels) in February and 210 thousand barrels per day (6 million barrels) in March. If all of that supply were to come from imports, we would have to see distillate imports into PADD 1 double from their average levels of 7

287

BOTTLENOSE DOLPHIN (Tursiops truncatus): Northern Gulf of Mexico Oceanic Stock  

E-Print Network (OSTI)

Thirty-eight stocks have been provisionally identified for Gulf of Mexico bottlenose dolphins (Waring et al. 2001). Gulf of Mexico inshore habitat has been separated into 33 bay, sound and estuarine stocks. Three northern Gulf of Mexico coastal stocks include nearshore waters from the shore to the 20 m isobath. The continental shelf stock encompasses waters from 20 to 200 m deep. The Gulf of Mexico oceanic stock encompasses the waters from the 200 m isobath to the seaward extent of the U.S. Exclusive Economic Zone (EEZ; Figure 1). Both “coastal/nearshore ” and “offshore ” ecotypes of bottlenose dolphins (Hersh and Duffield 1990) occur in the Gulf of Mexico (LeDuc and Curry 1998). The offshore and nearshore ecotypes are genetically distinct using both mitochondrial and nuclear markers (Hoelzel et al. 1998). In the northwestern Atlantic, Torres et al. (2003) found a statistically significant break in the distribution of the ecotypes at 34 km from shore. The offshore ecotype was found exclusively seaward of 34 km and in waters deeper than 34 m. Within 7.5 km of shore, all animals were of the coastal ecotype. If the distribution of ecotypes found by Torres et al. (2003) is similar in the northern Gulf of Mexico, the oceanic stock consists of the offshore ecoptype. Based on research currently being conducted on bottlenose dolphins in the Gulf of Mexico, as well as the western North Atlantic Ocean, the structure of these stocks is uncertain, but appears to be complex. The multi-disciplinary research programs conducted over the last two decades (e.g., Wells 1994) are beginning to shed light on stock structures of bottlenose dolphins, though additional analyses are needed before stock structures can be elaborated on in the Gulf of Mexico. As research is completed, it may be necessary to revise all the stocks of bottlenose dolphins in the Gulf of Mexico. POPULATION SIZE Estimates of abundance were derived through the application of distance sampling

Stock Definition; Geographic Range

2003-01-01T23:59:59.000Z

288

Weekly U.S. Ending Stocks of Total Gasoline (Thousand Barrels)  

U.S. Energy Information Administration (EIA)

Year-Month Week 1 Week 2 Week 3 Week 4 Week 5; End Date Value End Date Value End Date Value End Date Value End Date Value; 1990-Jan: 01/05 : 210,982 : 01/12 : 215,395

289

Temporal changes in C and N stocks of restored prairie: implications for C sequestration strategies  

Science Conference Proceedings (OSTI)

The recovery of ecosystem C and N dynamics after disturbance can be a slow process. Chronosequence approaches offer unique opportunities to use space-for-time substitution to quantify the recovery of ecosystem C and N stocks and estimate the potential of restoration practices for C sequestration. We studied the distribution of C and N stocks in two chronosequences that included long-term cultivated lands, 3- to 26-year-old prairie restorations, and remnant prairie on two related soil series. Results from the two chronosequences did not vary significantly and were combined. Based on modeling predictions, the recovery rates of different ecosystem components varied greatly. Overall, C stocks recovered faster than N stocks, but both C and N stocks recovered more rapidly for aboveground vegetation than for any other ecosystem component. Aboveground C and N reached 95% of remnant levels in only 13 years and 21 years, respectively, after planting to native vegetation. Belowground plant C and N recovered several decades later, while microbial biomass C, soil organic C (SOC), and total soil N recovered on a century timescale. In the cultivated fields, SOC concentrations were depleted within the surface 25 cm, coinciding with the depth of plowing, but cultivation apparently led to redistribution of soil C, increasing SOC stocks deeper in the soil profile. The restoration of prairie vegetation was effective at rebuilding soil organic matter (SOM) in the surface soil. Accrual rates were maintained at 43 g C {center_dot} m{sup -2} {center_dot} yr{sup -1} and 3 g N {center_dot} m{sup -2} {center_dot} yr{sup -1} in the surface 0.16 Mg/m{sup 2} soil mass during the first 26 years of restoration and were predicted to reach 50% of their storage potential (3500 g C/m{sup 2}) in the first 100 years. We conclude that restoration of tallgrass prairie vegetation can restore SOM lost through cultivation and has the potential to sequester relatively large amounts of SOC over a sustained period of time. Whether restored prairies can retain the C apparently transferred to the subsoil by cultivation practices remains to be seen.

Matamala, Roser [Argonne National Laboratory (ANL); Jastrow, Julie D [ORNL; Miller, Raymond M [Argonne National Laboratory (ANL); Garten Jr, Charles T [ORNL

2008-10-01T23:59:59.000Z

290

Temporal changes in C and N stocks of restored prairie : implications for C sequestration strategies.  

SciTech Connect

The recovery of ecosystem C and N dynamics after disturbance can be a slow process. Chronosequence approaches offer unique opportunities to use space-for-time substitution to quantify the recovery of ecosystem C and N stocks and estimate the potential of restoration practices for C sequestration. We studied the distribution of C and N stocks in two chronosequences that included long-term cultivated lands, 3- to 26-year-old prairie restorations, and remnant prairie on two related soil series. Results from the two chronosequences did not vary significantly and were combined. Based on modeling predictions, the recovery rates of different ecosystem components varied greatly. Overall, C stocks recovered faster than N stocks, but both C and N stocks recovered more rapidly for aboveground vegetation than for any other ecosystem component. Aboveground C and N reached 95% of remnant levels in only 13 years and 21 years, respectively, after planting to native vegetation. Belowground plant C and N recovered several decades later, while microbial biomass C, soil organic C (SOC), and total soil N recovered on a century timescale. In the cultivated fields, SOC concentrations were depleted within the surface 25 cm, coinciding with the depth of plowing, but cultivation apparently led to redistribution of soil C, increasing SOC stocks deeper in the soil profile. The restoration of prairie vegetation was effective at rebuilding soil organic matter (SOM) in the surface soil. Accrual rates were maintained at 43 g C {center_dot} m{sup -2} {center_dot} yr{sup -1} and 3 g N {center_dot} m{sup -2} {center_dot} yr{sup -1} in the surface 0.16 Mg/m{sup 2} soil mass during the first 26 years of restoration and were predicted to reach 50% of their storage potential (3500 g C/m{sup 2}) in the first 100 years. We conclude that restoration of tallgrass prairie vegetation can restore SOM lost through cultivation and has the potential to sequester relatively large amounts of SOC over a sustained period of time. Whether restored prairies can retain the C apparently transferred to the subsoil by cultivation practices remains to be seen.

Matamala, R.; Jastrow, J. D.; Miller, R. M.; Garten, C. T.; Biosciences Division; ORNL

2008-09-01T23:59:59.000Z

291

Dr. Paul Merges Director, Bureau of Radiation New York State Department of Environmental  

Office of Legacy Management (LM)

551 551 - g 7 s % @ { i::- g i- ' \?*r&.,' *~ -,_ .- ..- Dr. Paul Merges Director, Bureau of Radiation New York State Department of Environmental Conservation 50 Wolfe Road Albany, NY 12233-7255 Dear Dr. Merges: ..- .- I.- _- .- Department of Energy Osk Ridge Opermlonm P.O. 80x 2001 Oak Ridge. Tmnessee 37831- 8723 September 24. 1990 DESIGNATION OF THE FORNER RAKER AND YILLIANS WAREHOUSES INTO DOE'S FORRERLY UTILIZED SITES REMEDIAL ACTION PROGRAM The purpose of this letter is to inform you that on August 9, 1990, the site of the former Baker and Williams warehouses, currently owned by Ralph Ferrara. Inc., located on West 20th Street in New York City, was designated into the Department of Energy's (DOE) Formerly Utilized Sites Remedial Action Program

292

DOE - Office of Legacy Management -- U S Bureau of Mines - PA 36  

Office of Legacy Management (LM)

PA 36 PA 36 FUSRAP Considered Sites Site: U. S. BUREAU OF MINES (PA.36) Eliminated from further consideration under FUSRAP Designated Name: Not Designated Alternate Name: None Location: Bruceton , Pennsylvania PA.36-1 Evaluation Year: 1987 PA.36-2 Site Operations: Conducted studied on explosiveness of Uranium, Thorium and Beryllium. PA.36-1 PA.36-3 Site Disposition: Eliminated - Small amounts of radioactive materials used - Potential for residual radioactive contamination considered remote PA.36-2 Radioactive Materials Handled: Yes Primary Radioactive Materials Handled: Uranium and Thorium PA.36-2 Radiological Survey(s): Yes - health and safety monitoring during operations only PA.36-1 Site Status: Eliminated from further consideration under FUSRAP

293

A Quantum-like Approach to the Stock Market  

E-Print Network (OSTI)

Modern approaches to stock pricing in quantitative finance are typically founded on the 'Black-Scholes model' and the underlying 'random walk hypothesis'. Empirical data indicate that this hypothesis works well in stable situations but, in abrupt transitions such as during an economical crisis, the random walk model fails and alternative descriptions are needed. For this reason, several proposals have been recently forwarded which are based on the formalism of quantum mechanics. In this paper we apply the 'SCoP formalism', elaborated to provide an operational foundation of quantum mechanics, to the stock market. We argue that a stock market is an intrinsically contextual system where agents' decisions globally influence the market system and stocks prices, determining a nonclassical behavior. More specifically, we maintain that a given stock does not generally have a definite value, e.g., a price, but its value is actualized as a consequence of the contextual interactions in the trading process. This contextual influence is responsible of the non-Kolmogorovian quantum-like behavior of the market at a statistical level. Then, we propose a 'sphere model' within our 'hidden measurement formalism' that describes a buying/selling process of a stock and shows that it is intuitively reasonable to assume that the stock has not a definite price until it is traded. This result is relevant in our opinion since it provides a theoretical support to the use of quantum models in finance.

Diederik Aerts; Bart D'Hooghe; Sandro Sozzo

2011-10-24T23:59:59.000Z

294

Impaired fertility in T-stock female mice after superovulation  

Science Conference Proceedings (OSTI)

Superovulation of female mice with exogenous gonadotrophins is routinely used for increasing the number of eggs ovulated by each female in reproductive and developmental studies. We report an unusual effect of superovulation on fertilization in mice. In vivo matings of superovulated T-stock females with B6C3F1 males resulted in a 2-fold reduction (Pstock females had reached the metaphase stage of the first cleavage division versus 87% in B6C3F1 females (P stock males did not improve the reproductive performance of T-stock females. To investigate the possible cause(s) for the impaired fertilization and zygotic development, the experiments were repeated using in vitro fertilization. Under these conditions, the frequencies of fertilized eggs were not different in superovulated T-stock and B6C3F1 females (51.7% {+-} 6.0 and 64.5% {+-}3.8, P=0.10). There was a 7-fold increase in the frequencies of fertilized T-stock eggs that completed the first cell cycle of development after in vitro versus in vivo fertilization. These results rule out an intrinsic deficiency of the T-stock oocyte as the main reason for the impaired fertility after in vivo matings and suggest that superovulation of T-stock females induces a hostile oviductal and uterine environment with dramatic effects on fertilization and zygotic development.

Wyrobek, A J; Bishop, J B; Marchetti, F; Zudova, D

2003-12-05T23:59:59.000Z

295

Trading Puts and CDS on Stocks with Short Sale Ban  

E-Print Network (OSTI)

We focus on the short sale ban of 2008 to examine the interaction between price discovery in banned stocks and the trading of options and CDS. Within the sample of banned stocks with exchange traded options, stocks whose put-call ratios are in the top quintile underperform the middle group by 1.56 % and 2.84%, respectively, over the next two- and five-day returns. By contrast, the bottom quintile does not perform differently from the middle group. Within the sample of banned stocks with CDS traded and using their one-day percentage change in CDS spreads as a signal, we find cross-sectional predictability CDS signal for future stock returns. Again, the predictability is asymmetric, driven mostly by stocks with more positive percentage change in CDS spreads, and therefore more negative information according to the CDS market. Overall, our results confirm that in the presence of short sale ban, it takes time for the negative information contained in either the options market or the CDS market to get incorporated into stock prices.

Sophie Xiaoyan Ni; Jun Pan

2010-01-01T23:59:59.000Z

296

Annual Stock Assessment - CWT [Coded Wire Tag program] (USFWS), Annual Report 2007.  

DOE Green Energy (OSTI)

In 1989 the Bonneville Power Administration (BPA) began funding the evaluation of production groups of juvenile anadromous fish not being coded-wire tagged for other programs. These groups were the 'Missing Production Groups'. Production fish released by the U.S. Fish and Wildlife Service (FWS) without representative coded-wire tags during the 1980s are indicated as blank spaces on the survival graphs in this report. This program is now referred to as 'Annual Stock Assessment - CWT'. The objectives of the 'Annual Stock Assessment' program are to: (1) estimate the total survival of each production group, (2) estimate the contribution of each production group to fisheries, and (3) prepare an annual report for USFWS hatcheries in the Columbia River basin. Coded-wire tag recovery information will be used to evaluate the relative success of individual brood stocks. This information can also be used by salmon harvest managers to develop plans to allow the harvest of excess hatchery fish while protecting threatened, endangered, or other stocks of concern. All fish release information, including marked/unmarked ratios, is reported to the Pacific States Marine Fisheries Commission (PSMFC). Fish recovered in the various fisheries or at the hatcheries are sampled to recover coded-wire tags. This recovery information is also reported to PSMFC. This report has been prepared annually starting with the report labeled 'Annual Report 1994'. Although the current report has the title 'Annual Report 2007', it was written in fall of 2008 using data available from RMIS that same year, and submitted as final in January 2009. The main objective of the report is to evaluate survival of groups which have been tagged under this ongoing project.

Pastor, Stephen M. [U.S. Fish and Wildlife Service, Columbia River Fisheries Program Office

2009-07-21T23:59:59.000Z

297

Testing and Diagnosing the Ability of the Bureau of Meteorology’s Numerical Weather Prediction Systems to Support Prediction of Solar Energy Production  

Science Conference Proceedings (OSTI)

The ability of the Australian Bureau of Meteorology’s numerical weather prediction (NWP) systems to predict solar exposure (or insolation) was tested, with the aim of predicting large-scale solar energy several days in advance. The bureau’s ...

Paul A. Gregory; Lawrie J. Rikus; Jeffrey D. Kepert

2012-09-01T23:59:59.000Z

298

Does stock market volatility with regime shifts signal the business cycle in Taiwan?  

Science Conference Proceedings (OSTI)

Using a Switching Regime ARCH (SWARCH) model and other time series models, this paper sets out to investigate the volatility of Taiwan's monthly stock market returns, with the empirical results demonstrating that our SWARCH-L specification ... Keywords: Markov switching, Taiwan, business cycle, e-finance, electronic finance, regime shifts, stock market volatility, stock markets, stock volatility

Yih-Wen Shyu; Kuangyu Hsia

2008-12-01T23:59:59.000Z

299

Design and implementation of fuzzy expert system for Tehran Stock Exchange portfolio recommendation  

Science Conference Proceedings (OSTI)

The key issue for decision making in stock trading is selection of the right stock at the right time. In order to select the superior stocks (alternatives) for investment, a finite number of alternatives have to be ranked considering several and sometimes ... Keywords: Fuzzy Delphi Method, Fuzzy expert system, Multiple Criteria Decision Making (MCDM), Portfolio recommendation, Tehran Stock Exchange (TSE)

Mehdi Fasanghari; Gholam Ali Montazer

2010-09-01T23:59:59.000Z

300

The stock index forecast based on dynamic recurrent neural network trained with GA  

E-Print Network (OSTI)

neural networks applied in forecasting stock price, at present, the most widely used neural network is BPThe stock index forecast based on dynamic recurrent neural network trained with GA Fang Yixian1In order to forecast the stock market more accurately, according to the dynamic property for the stock

Note: This page contains sample records for the topic "bureau total stocks" from the National Library of EnergyBeta (NLEBeta).
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to obtain the most current and comprehensive results.


301

Table 2. U.S. Biodiesel Production, Sales, and Stocks  

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

U.S. Biodiesel Production, Sales, and Stocks" U.S. Biodiesel Production, Sales, and Stocks" "(million gallons)" "Period","B100 Production",,"Sales of B100",,"Sales of B100 Included in Biodiesel Blends",,"Ending Stocks of B100",,"B100 Stock Change" 2011 "January",35.355469,,21.760435,,9.397668,,16.705962,,3.900173 "February",40.342355,,27.263997,,13.027514,,17.367083,,0.661121 "March",59.59017,,40.879532,,16.804541,,19.178192,,1.811109 "April",71.0517,,47.320311,,21.819273,,21.000047,,1.821855 "May",77.196652,,49.520679,,27.20637,,23.448551,,2.448504 "June",81.39104,,61.776718,,23.965853,,19.302451,,-4.1461 "July",91.679738,,65.997152,,22.388332,,22.956565,,3.654114

302

The More Important Price Indicator This Year is Low Stocks  

Gasoline and Diesel Fuel Update (EIA)

6 of 6 6 of 6 Notes: Crude prices this year at the beginning of the second quarter are likely to be higher -- not lower -- as a result of the current shortfall in crude oil production relative to demand on top of low stocks. OECD stocks of crude oil and products plunged steeply in 1999. By year end, they were below the low levels at end December 1996 -- OPEC's stated target. This does not take into consideration the growth in demand that these stocks must help supply. EIA expects OECD stocks to stay very low throughout the year 2000. The projection shows end March levels remain well below those seen at the end of the first quarter 1996. The build during the summer will not be adequate to make up for the draws, resulting in a net draw of over 300 thousand barrels in an already tight market.

303

An Internet multicast system for the stock market  

Science Conference Proceedings (OSTI)

We are moving toward an international, 24-hour, distributed, electronic stock exchange. The exchange will use the global Internet, or internet technology. This system is a natural application of multicast because there are a large number of receivers ... Keywords: multicast

2001-08-01T23:59:59.000Z

304

Comparing Wealth Effects: The Stock Market versus the Housing Market  

E-Print Network (OSTI)

MAREKET VERSUS THE HOUSING MARKET By Karl E. Case John M.Article ? Comparing Wealth E?ects: The Stock Market versusthe Housing Market Karl E. Case ? John M. Quigley † Robert

Case, Karl E.; Quigley, John M.; Shiller, Robert J.

2005-01-01T23:59:59.000Z

305

Distillate Stocks Are Important Part of East Coast Winter Supply  

Gasoline and Diesel Fuel Update (EIA)

7 7 Notes: Stocks are normally an important part of East Coast winter distillate supply, since they are the nearest source when anything unexpected occurs, and they supply a significant portion of demand during the peak heating season. Over the last 10 years, stocks have provided about 15% of supply during the peak winter months of January and February. On average, stocks supply the East Coast with about 260 MB/D in January and 280 MB/D in February. Those supplies represent draws of about 8 million barrels in one month. In addition, East Coast refineries meet about 25% of demand during January and February, and other regions -- mostly the Gulf Coast -- supply 40-50% of the region's needs. Imports generally supply about as much as stocks during the peak months,

306

Distillate Stocks Are Important Part of East Coast Winter Supply  

Gasoline and Diesel Fuel Update (EIA)

6 6 Notes: Stocks are normally an important part of East Coast winter distillate supply, since they are the nearest source when anything unexpected occurs, and they supply a significant portion of demand during the peak heating season. Over the last 10 years, stocks have provided about 15% of supply during the peak winter months of January and February. On average, stocks supply the East Coast with about 260 thousand barrels per day in January and 280 in February. Those supplies represent draws of about 8 million barrels in one month. In addition, East Coast refineries meet about 25% of demand during January and February, and other regions -- mostly the Gulf Coast -- supply 40-50% of the region's needs. Imports generally supply about as much as stocks during the peak

307

PADD 1 (East Coast) Heating Oil Stocks Low  

Gasoline and Diesel Fuel Update (EIA)

5 5 Notes: The East Coast (PADD 1) is the primary heating oil region, and it depends heavily on production from the Gulf Coast (PADD 3) as well. The biggest decline in U.S. stocks has taken place in the heating oil markets of PADD 1 (East Coast), which consumed 86 percent of the nationÂ’s heating oil in 1998. It also is the region with the largest volume of heating oil stocks. PADD 1 was down over 8.4 million barrels on January 21 from the 5-year average stock level for end of January PADD 3, which supplies PADD 1, was down 4.6 million barrels from its 5-year January ending levels. During the week ending January 21, weather in New England was nearly 20% colder than normal for this time of year. This cold weather on top of low stocks was pushing prices up, with

308

NIST 2003 Stock Study of Malcolm Baldrige National Quality ...  

Science Conference Proceedings (OSTI)

... Stock Purchases. December 1, 2003 Close. Price, $ Invested, Price, $ Value, % Change. 1/3/94. Eastman Chemical. 45.125. 1000.00. 36.92. 818.17 ...

2010-10-05T23:59:59.000Z

309

East Coast (PADD 1) Normal Butane-Butylene Stock Change ...  

U.S. Energy Information Administration (EIA)

East Coast (PADD 1) Normal Butane-Butylene Stock Change (Thousand Barrels per Day) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec; 1981: 4-3: 1: ...

310

Midwest (PADD 2) Normal Butane-Butylene Stock Change (Thousand ...  

U.S. Energy Information Administration (EIA)

Midwest (PADD 2) Normal Butane-Butylene Stock Change (Thousand Barrels per Day) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec; 1981-4-34-7: 14: ...

311

Distillate Stocks Are Important Part of Northeast Winter Supply  

U.S. Energy Information Administration (EIA)

... PADD 1 stocks provided about 15% of supply during the peak winter months of January and ... the Northeast saw the unusual heating oil and diesel price surges as a ...

312

Low Distillate Stocks Set Stage for Price Volatility  

Gasoline and Diesel Fuel Update (EIA)

areas for a time, requiring unusual movement of stock from other areas. As buyers search for product, they bid prices up rapidly, which attracts product, but the time lag can...

313

Distillate Stocks Are Important Part of East Coast Winter Supply  

Gasoline and Diesel Fuel Update (EIA)

9 9 Notes: Stocks are normally an important part of East Coast winter distillate supply, since they are the nearest source when anything unexpected occurs, and they supply a significant portion of demand during the peak heating season. Over the last 10 years, stocks have provided about 15% of supply during the peak winter months of January and February. On average, stocks supply the East Coast with about 260 thousand barrels per day in January and 280 in February. Those supplies represent draws of about 8 million barrels in one month. In addition, East Coast refineries meet about 25% of demand during January and February, and other regions -- mostly the Gulf Coast -- supply 40-50% of the region's needs. Imports generally supply about as much as stocks during the peak

314

U.S. Ending Stocks of Petroleum Coke (Thousand Barrels)  

U.S. Energy Information Administration (EIA)

U.S. Ending Stocks of Petroleum Coke (Thousand Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9; 1980's: 4,502: ...

315

U.S. Petroleum Coke Stocks at Refineries (Thousand Barrels)  

U.S. Energy Information Administration (EIA)

U.S. Petroleum Coke Stocks at Refineries (Thousand Barrels) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec; 1993: 10,747: 11,072: 11,444: ...

316

The Neftemash closed joint-stock company  

Science Conference Proceedings (OSTI)

The Neftemash closed joint-stock company was created from the VNIIneftemash Scientific Production Association in the privatization process in the country. Members of the Neftemash Co. are listed. This group of members determined the basic activities of the Neftemash Co. as a multifunctional scientific production complex for designing and manufacturing modern equipment for oil and gas production and refining. By having highly qualified specialists, modern enterprises, test experience, and production capacity, this company is the leading organization in Russia and the Commonwealth of Independent States (CIS) for supplying oil and gas enterprises with petroleum equipment. The Neftemash Co. designs and produces drilling, geological prospecting, and petroleum production equipment and instrumentation. It designs oil and gas refining equipment and petrochemical equipment, equipment for processing coal and liquid fuels, including integrated automated production lines. It does fundamental and applied research in materials science, welding, and corrosion protection for oil and gas production and refining equipment. It designs ecologically safe equipment complexes for drilling wells and refining oil and gas. To a significant extent the petroleum industry in Russia was developed from the activity of the All-Union Scientific Research, Design, and Construction Institute for Petroleum Machinery. Equipment designed by the institute was used to explore, develop, and exploit oil and gas fields of western Siberia, the far north, and other petroleum regions of the country.

Umanchik, N.P.

1995-07-01T23:59:59.000Z

317

Genetic Stock Identification, Annual Report of Research 1986.  

DOE Green Energy (OSTI)

The results of the first year's investigation of a 5-year plan to demonstrate and develop a coastwide genetic stock identification (GSI) program are presented. The accomplishments under four specific objectives are outlined below: 1. Improved Efficiency through Direct Entry of Electrophoretic Data into the Computer. A program is described that was developed for direct computer entry o f raw data. This program eliminated the need for key- to-tape processing previously required for estimating compositions of mixed fisheries, and thereby permits immediate use of collected data in estimating compositions of stock mixtures. 2. Expand and Strengthen Oregon Coastal and British Columbia Baseline Data Set. Electrophoretic screening of approximately 105 loci of samples from 22 stocks resulted in complete data sets for 35 polymorphic and 19 monomorphic loci. These new data are part of the baseline information currently used in estimating mixed stock compositions. 3. Conduct a Pilot GSI Study of Mixed Stock Canadian Troll Fisheries off the West Coast of Vancouver Island. A predominance of lower Columbia River (fall run), Canadian, and Puget Sound stocks was observed for both 1984 and 1985 fisheries . Stocks other than Columbia River, Canadian, and Puget Sound contributed an estimated 13 and 5 % respectively, to the 1984 and 1985 fisheries . 4. Validation of GSI for Estimating Mixed Fishery Stock Composition. Baseline data from the Columbia River southward were used to simulate nor them and central California fisheries . These simulations provided estimates of accuracy and precision for mixed sample sizes ranging from 250 to 1,000 individuals. Sacramento River stocks had a heavier weighting in the central (89%) than in the northern (25%) fishery. Accuracy and precision increased for both fisheries as sample sizes increased and also were better for those estimates that were over 5%. Extrapolations from these estimates indicated that sample sizes of 2,320 and 2,869 would be required to fulfill coefficients of variation (SD/estimated contribution) of 20% with respective confidence intervals of 80 and 95% in stock groupings of the northern fishery. Similarly, sample sizes of 2,450 and 3,030 would be required in the central fishery. A concluding section noted that these investigations are part of an effort involving many agencies. The requirements for simulation preceding actual sampling of stock mixtures and for continued monitoring and development of baseline data sets were emphasized.

Milner, George B.

1986-12-01T23:59:59.000Z

318

Impaired fertility in T-stock female mice after superovulation  

SciTech Connect

Superovulation of female mice with exogenous gonadotrophins is routinely used for increasing the number of eggs ovulated by each female in reproductive and developmental studies. We report an unusual effect of superovulation on fertilization in mice. In vivo matings of superovulated T-stock females with B6C3F1 males resulted in a 2-fold reduction (P<0.001) in the frequencies of fertilized eggs compared to control B6C3F1 matings. In addition, {approx}22 hr after mating only 15% of fertilized eggs recovered in T-stock females had reached the metaphase stage of the first cleavage division versus 87% in B6C3F1 females (P < 0.0001). Matings with T-stock males did not improve the reproductive performance of T-stock females. To investigate the possible cause(s) for the impaired fertilization and zygotic development, the experiments were repeated using in vitro fertilization. Under these conditions, the frequencies of fertilized eggs were not different in superovulated T-stock and B6C3F1 females (51.7% {+-} 6.0 and 64.5% {+-}3.8, P=0.10). There was a 7-fold increase in the frequencies of fertilized T-stock eggs that completed the first cell cycle of development after in vitro versus in vivo fertilization. These results rule out an intrinsic deficiency of the T-stock oocyte as the main reason for the impaired fertility after in vivo matings and suggest that superovulation of T-stock females induces a hostile oviductal and uterine environment with dramatic effects on fertilization and zygotic development.

Wyrobek, A J; Bishop, J B; Marchetti, F; Zudova, D

2003-12-05T23:59:59.000Z

319

Long-run models of oil stock prices  

Science Conference Proceedings (OSTI)

The identification of the forces that drive oil stock prices is extremely important given the size of the Oil & Gas industry and its links with the energy sector and the environment. In the next decade oil companies will have to deal with international ... Keywords: C32, Cointegration, Energy, Environment, Hydrocarbon fuels, L71, Non-renewable resources, Oil companies, Oil stock prices, Q30, Q40, Vector error correction models

Alessandro Lanza; Matteo Manera; Margherita Grasso; Massimo Giovannini

2005-11-01T23:59:59.000Z

320

Western Region Renewable Energy Markets: Implications for the Bureau of Land Management  

SciTech Connect

The purpose of this analysis is to provide the U.S. Department of the Interior (DOI) and the Bureau of Land Management (BLM) with an overview of renewable energy (RE) generation markets, transmission planning efforts, and the ongoing role of the BLM RE projects in the electricity markets of the 11 states (Arizona, California, Colorado, Idaho, Montana, Nevada, New Mexico, Oregon, Utah, Washington, and Wyoming) that comprise the Western Electricity Coordinating Council (WECC) Region. This analysis focuses on the status of, and projections for, likely development of non-hydroelectric renewable electricity from solar (including photovoltaic [PV] and concentrating solar power [CSP]), wind, biomass and geothermal resources in these states. Absent new policy drivers and without the extension of the DOE loan guarantee program and Treasury's 1603 program, state RPS requirements are likely to remain a primary driver for new RE deployment in the western United States. Assuming no additional policy incentives are implemented, projected RE demand for the WECC states by 2020 is 134,000 GWh. Installed capacity to meet that demand will need to be within the range of 28,000-46,000 MW.

Haase, S.; Billman, L.; Gelman, R.

2012-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "bureau total stocks" 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

"ENDING STOCKS OF CRUDE OIL (excluding SPR)"  

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

ENDING STOCKS OF CRUDE OIL (excluding SPR)" ENDING STOCKS OF CRUDE OIL (excluding SPR)" "Sourcekey","WCESTP11","WCESTP11","WCESTP21","WCESTP21","WCESTP31","WCESTP31","WCESTP41","WCESTP41","WCESTP51","WCESTP51","WCESTUS1","WCESTUS1" "Date","Weekly East Coast (PADD 1) Ending Stocks excluding SPR of Crude Oil (Thousand Barrels)","Weekly East Coast (PADD 1) Ending Stocks excluding SPR of Crude Oil (Thousand Barrels)","Weekly Midwest (PADD 2) Ending Stocks excluding SPR of Crude Oil (Thousand Barrels)","Weekly Midwest (PADD 2) Ending Stocks excluding SPR of Crude Oil (Thousand Barrels)","Weekly Gulf Coast (PADD 3) Ending Stocks excluding SPR of Crude Oil (Thousand Barrels)","Weekly Gulf Coast (PADD 3) Ending Stocks excluding SPR of Crude Oil (Thousand Barrels)","Weekly Rocky Mountain (PADD 4) Ending Stocks excluding SPR of Crude Oil (Thousand Barrels)","Weekly Rocky Mountain (PADD 4) Ending Stocks excluding SPR of Crude Oil (Thousand Barrels)","Weekly West Coast (PADD 5) Ending Stocks excluding SPR of Crude Oil (Thousand Barrels)","Weekly West Coast (PADD 5) Ending Stocks excluding SPR of Crude Oil (Thousand Barrels)","Weekly U.S. Ending Stocks excluding SPR of Crude Oil (Thousand Barrels)","Weekly U.S. Ending Stocks excluding SPR of Crude Oil (Thousand Barrels)"

322

The Impact of the Clean Air Act Amendments of 1990 on Electric Utilities and Coal Mines: Evidence from the Stock Market  

E-Print Network (OSTI)

In contrast, stock prices of coal mining companiesstudied. depress stock prices of several Eastern coal miningIn contrast, stock prices of practically all 12 coal mining

Kahn, Shulamit; Knittel, Christopher R.

2003-01-01T23:59:59.000Z

323

Total Crude by Pipeline  

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

Product: Total Crude by All Transport Methods Domestic Crude by All Transport Methods Foreign Crude by All Transport Methods Total Crude by Pipeline Domestic Crude by Pipeline Foreign Crude by Pipeline Total Crude by Tanker Domestic Crude by Tanker Foreign Crude by Tanker Total Crude by Barge Domestic Crude by Barge Foreign Crude by Barge Total Crude by Tank Cars (Rail) Domestic Crude by Tank Cars (Rail) Foreign Crude by Tank Cars (Rail) Total Crude by Trucks Domestic Crude by Trucks Foreign Crude by Trucks Period: Product: Total Crude by All Transport Methods Domestic Crude by All Transport Methods Foreign Crude by All Transport Methods Total Crude by Pipeline Domestic Crude by Pipeline Foreign Crude by Pipeline Total Crude by Tanker Domestic Crude by Tanker Foreign Crude by Tanker Total Crude by Barge Domestic Crude by Barge Foreign Crude by Barge Total Crude by Tank Cars (Rail) Domestic Crude by Tank Cars (Rail) Foreign Crude by Tank Cars (Rail) Total Crude by Trucks Domestic Crude by Trucks Foreign Crude by Trucks Period: Annual Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & Notes Show Data By: Product Area 2007 2008 2009 2010 2011 2012 View

324

Distillate Stocks are Low - Especially on the East Coast  

Gasoline and Diesel Fuel Update (EIA)

8 8 Notes: Distillate stocks are normally built during the summer for use during the winter as shown by the normal band. Currently, stocks are very low for this time of year. This graph shows East Coast inventories, which at the end of August, were well below the normal band (over 9 million barrels or 19% below the low end of the band). The East Coast is about 31% lower than its 10-year average level for this time of year. We focus on the East Coast (PADD 1 ) because this a region in which heating oil is a major winter fuel. Furthermore, the East Coast consumes almost 2/3 of the nation's heating oil (high sulfur distillate). December 1999 was the turning point. Stocks were well within the normal range through November 1999, but in December, they dropped below the

325

Residential electricity demand: a suggested appliance stock equation  

Science Conference Proceedings (OSTI)

The author develops a simple appliance stock equation for estimating seasonal patterns of power demand elasticity. The equation relates an index of appliances (estimates of typical use) to marginal price per kWh, to income, to average price of alternative fuels, to climate (cooling degree days and heating degree days), to age of the household head, to family size, and to race. Price elasticity is -0.785 for the winter and 0.493 for the summer, with all estimates significant to 0.001. The appliance stock coefficient is 0.801 for the winter and 0.971 for the summer. The equation may be useful in studies that do not require elaborate disaggregation of appliance stock. 7 references, 2 tables.

Garbacz, C.

1984-04-01T23:59:59.000Z

326

A Note on Pricing Options on Defaultable Stocks  

E-Print Network (OSTI)

In this note, we develop stock option price approximations for a model which takes both the risk o default and the stochastic volatility into account. We also let the intensity of defaults be influenced by the volatility. We show that it might be possible to infer the risk neutral default intensity from the stock option prices. Our option price approximation has a rich implied volatility surface structure and fits the data implied volatility well. Our calibration exercise shows that an effective hazard rate from bonds issued by a company can be used to explain the implied volatility skew of the implied volatility of the option prices issued by the same company.

Bayraktar, Erhan

2007-01-01T23:59:59.000Z

327

Wisdom of Crowds Algorithm for Stock Market Predictions  

E-Print Network (OSTI)

In this paper we present a mathematical model for collaborative filtering implementation in stock market predictions. In popular literature collaborative filtering, also known as Wisdom of Crowds, assumes that group has a greater knowledge than the individual while each individual can improve group's performance by its specific information input. There are commercially available tools for collaborative stock market predictions and patent protected web-based software solutions. Mathematics that lies behind those algorithms is not disclosed in the literature, so the presented model and algorithmic implementation are the main contributions of this work.

Velic, Marko; Padavic, Ivan

2013-01-01T23:59:59.000Z

328

The Evolution of Aggregate Stock Ownership: A Unified Explanation  

E-Print Network (OSTI)

Since World War II, the fraction of stocks owned directly by households has decreased by more than 50 percentage points in the United States, the United Kingdom, and Sweden. We argue that tax policy is the driving force. Using data from eight countries, we show that tax-favored investors have replaced households as stockholders and that the fraction of household ownership decreases with measures of the effective marginal tax rate. We further show that the changes in stock ownership accelerate during the high-inflation period of the 1970s and the 1980s. These findings are important for policy considerations on effective taxation and for financial economics research on the longterm

Kristian Rydqvist; Joshua Spizman; Ilya Strebulaev

2008-01-01T23:59:59.000Z

329

EQUUS Total Return Inc | Open Energy Information  

Open Energy Info (EERE)

EQUUS Total Return Inc EQUUS Total Return Inc Jump to: navigation, search Name EQUUS Total Return Inc Place Houston, Texas Product A business development company and VC investor that trades as a closed-end fund. EQUUS is managed by MCC Global NV, a Frankfurt stock exchange listed management and merchant banking group. Coordinates 29.76045°, -95.369784° 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":29.76045,"lon":-95.369784,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

330

Evolutionary multiobjective optimization approach for evolving ensemble of intelligent paradigms for stock market modeling  

Science Conference Proceedings (OSTI)

The use of intelligent systems for stock market predictions has been widely established. This paper introduces a genetic programming technique (called Multi-Expression programming) for the prediction of two stock indices. The performance is then compared ...

Ajith Abraham; Crina Grosan; Sang Yong Han; Alexander Gelbukh

2005-11-01T23:59:59.000Z

331

Practical Handbook of Soybean Processing and UtilizationChapter 13 Hydrogenation and Base Stock Formulation Procedures  

Science Conference Proceedings (OSTI)

Practical Handbook of Soybean Processing and Utilization Chapter 13 Hydrogenation and Base Stock Formulation Procedures Processing eChapters Processing Downloadable pdf of Chapter 13 Hydrogenation and Base Stock Formu

332

Analysis of Financial News Impact on Stock Based on a Statistical Learning Method with News Density  

Science Conference Proceedings (OSTI)

Since the investors often react to news and consequently make stock prices move, financial news has an impact on stock prices. However, the price adjustment process is a complex one. In this paper, a statistical learning methodology has been proposed ...

Feng Wang; Xiaodong Li; Chenxiao Dou

2011-10-01T23:59:59.000Z

333

Pentanes Plus Pipeline Stocks by Type - U.S. Energy Information ...  

U.S. Energy Information Administration (EIA)

Stock Type: Download Series History: Definitions, Sources & Notes: Show Data By: Product: Stock Type: Area: 2007 2008 2009 2010 2011 2012 View History; U.S. 1,219 ...

334

Towards a Very Low Energy Building Stock: Modeling the U.S. Commercial...  

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

Towards a Very Low Energy Building Stock: Modeling the U.S. Commercial Building Sector to Support Policy and Innovation Planning Title Towards a Very Low Energy Building Stock:...

335

Fuzzy-neural model with hybrid market indicators for stock forecasting  

Science Conference Proceedings (OSTI)

A number of research had been carried out to forecast stock price based on technical indicators, which rely purely on historical stock price data. Nevertheless, their performance is not always satisfactory. In this paper, the effect of using hybrid market ...

A. A. Adebiyi; C. K. Ayo; S. O. Otokiti

2011-07-01T23:59:59.000Z

336

Total Space Heat-  

Gasoline and Diesel Fuel Update (EIA)

Released: September, 2008 Total Space Heat- ing Cool- ing Venti- lation Water Heat- ing Light- ing Cook- ing Refrig- eration Office Equip- ment Com- puters Other All Buildings...

337

Total Space Heat-  

Gasoline and Diesel Fuel Update (EIA)

Revised: December, 2008 Total Space Heat- ing Cool- ing Venti- lation Water Heat- ing Light- ing Cook- ing Refrig- eration Office Equip- ment Com- puters Other All Buildings*...

338

Total Space Heat-  

Gasoline and Diesel Fuel Update (EIA)

Released: September, 2008 Total Space Heat- ing Cool- ing Venti- lation Water Heat- ing Light- ing Cook- ing Refrig- eration Office Equip- ment Com- puters Other All Buildings*...

339

Total Space Heat-  

Gasoline and Diesel Fuel Update (EIA)

Revised: December, 2008 Total Space Heat- ing Cool- ing Venti- lation Water Heat- ing Light- ing Cook- ing Refrig- eration Office Equip- ment Com- puters Other All Buildings...

340

Establishing relationships among patterns in stock market data  

Science Conference Proceedings (OSTI)

Similarities among subsequences are typically regarded as categorical features of sequential data. We introduce an algorithm for capturing the relationships among similar, contiguous subsequences. Two time series are considered to be similar during a ... Keywords: Financial applications, Knowledge discovery, Pattern mining, Stock market, Time series data

Dietmar H. Dorr; Anne M. Denton

2009-03-01T23:59:59.000Z

Note: This page contains sample records for the topic "bureau total stocks" 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

U.S. Ending Stocks of Fuel Ethanol (Thousand Barrels)  

U.S. Energy Information Administration (EIA)

U.S. Ending Stocks of Fuel Ethanol (Thousand Barrels) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec; 1993: 2,059: 1,946: 1,929: 2,152: 2,441: 2,627: 2,706 ...

342

Bureau of Economic Geology, The University of Texas at Austin Natural Gas Trends  

E-Print Network (OSTI)

Engineering Department, King Fahd UniVersity of Petroleum & Minerals, Dhahran 31261, Saudi Arabia 1 with toluene. Thus, these processes offer a way to utilize the low-cost toluene and TMB to produce the much to having total constant pressure since the total number of moles remains constant. Coke deposited on spent

Texas at Austin, University of

343

Sense the Words: The Impact of Discussion Board Postings on the Stock Market  

Science Conference Proceedings (OSTI)

Some empirical studies claim that postings in the stock message board have a small but significant correlation on stock return. We study the effect of 2.85 million postings of 58 representative listed firms in HS300 index in China. Instead of considering ... Keywords: dicussion board, postings, word count, stock market

Tiejun Wang; Junwei Ma; Xin Liu; Qing Li

2012-10-01T23:59:59.000Z

344

A GA-weighted ANFIS model based on multiple stock market volatility causality for TAIEX forecasting  

Science Conference Proceedings (OSTI)

Stock market forecasting is important and interesting, because the successful prediction of stock prices may promise attractive benefits. The economy of Taiwan relies on international trade deeply, and the fluctuations of international stock markets ... Keywords: ANFIS, Genetic algorithm, Neural network, Weighted rule

Liang-Ying Wei

2013-02-01T23:59:59.000Z

345

Stock Price and Index Forecasting by Arbitrage Pricing Theory-Based Gaussian TFA Learning  

E-Print Network (OSTI)

Stock Price and Index Forecasting by Arbitrage Pricing Theory-Based Gaussian TFA Learning Kai Chun take advantage of those models. In literature, forecasting of stock prices within the framework Xu, (2002) "Stock price and index forecasting by arbitrage pricing theory-based gaussian TFA learning

Xu, Lei

346

The optimization of the stocks within coal power stations using the dynamic programming method  

Science Conference Proceedings (OSTI)

The purpose of this paper is to devise an economic and mathematical model for forecasting and optimizing the need of coal, for determining the current stock size and optimizing the supply-storage costs within a coal-fired power plant. The conditions ... Keywords: continuous flow production, dynamic programming method, energetic resources, optimization of the safety stock, power plants, stock analysis

Rascolean Ilie; Isac Claudia; Dura Codruta

2009-12-01T23:59:59.000Z

347

Support vector regression with chaos-based firefly algorithm for stock market price forecasting  

Science Conference Proceedings (OSTI)

Due to the inherent non-linearity and non-stationary characteristics of financial stock market price time series, conventional modeling techniques such as the Box-Jenkins autoregressive integrated moving average (ARIMA) are not adequate for stock market ... Keywords: Chaotic mapping, Firefly algorithm, Stock market price forecasting, Support vector regression

Ahmad Kazem; Ebrahim Sharifi; Farookh Khadeer Hussain; Morteza Saberi; Omar Khadeer Hussain

2013-02-01T23:59:59.000Z

348

"1. Grand Coulee","Hydroelectric","U S Bureau of Reclamation",7079  

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

Washington" Washington" "1. Grand Coulee","Hydroelectric","U S Bureau of Reclamation",7079 "2. Chief Joseph","Hydroelectric","USCE-North Pacific Division",2456 "3. Transalta Centralia Generation","Coal","TransAlta Centralia Gen LLC",1596 "4. Rocky Reach","Hydroelectric","PUD No 1 of Chelan County",1254 "5. Columbia Generating Station","Nuclear","Energy Northwest",1097 "6. Wanapum","Hydroelectric","PUD No 2 of Grant County",1059 "7. Boundary","Hydroelectric","Seattle City of",1040 "8. Priest Rapids","Hydroelectric","PUD No 2 of Grant County",932

349

Payment Of the New Mexico Environment Department- Hazardous Waste Bureau Annual Business and Generation Fees Calendar Year 2011  

Science Conference Proceedings (OSTI)

The purpose of this letter is to transmit to the New Mexico Environment Department-Hazardous Waste Bureau (NMED-HWB), the Los alamos National Laboratory (LANL) Annual Business and Generation Fees for calendar year 2011. These fees are required pursuant to the provisions of New Mexico Hazardous Waste Act, Chapter 74, Article 4, NMSA (as amended). The Laboratory's Fenton Hill Facility did not generate any hazardous waste during the entire year, and is not required to pay a fee for calendar year 2011. The enclosed fee represents the amount for a single facility owned by the Department of Energy and co-operated by the Los Alamos National Security, LLC (LANS).

Juarez, Catherine L. [Los Alamos National Laboratory

2012-08-31T23:59:59.000Z

350

Kokanee Stock Status and Contribution of Cabinet Gorge Hatchery, Lake Pend Oreille, Idaho, 1990 Annual Progress Report.  

DOE Green Energy (OSTI)

Rehabilitation of kokanee Oncorhynchus nerka in Lake Pend Oreille met with some success in 1990, but unexpected results have raised new questions. Estimated kokanee abundance during late August of 1990 was about 6.9 million fish. This is a decline of 19% from 1989, a continued decrease since 1988. The decreased population was attributed to low stocking of hatchery fry (7.3 million), lower wild fry survival in 1990 (1.5%), and exceptionally poor survival of fish ages 3+ and 4+. Average survival of the older fish was only 11% in 1990 compared to 72% in prior years. Compensatory survival was noted for kokanee ages 1+ and 2+, with an average of 81% in 1990 compared to 44% in 1989. Hatchery fry comprised 47% of the total kokanee fry recruitment in 1990 (80% of fry biomass). This contribution ranked third behind 1988 and 1989 since hatchery supplementation began in the 1970s. Survival of hatchery fry was 20%, the second highest since this investigation began. Findings of 1990 indicate a more comprehensive approach to managing kokanee must take into account predator stockings and predator/prey interaction. An unexpected low adult escapement was responsible for an egg-take of only 5.6 million eggs in 1990, 58% of the previous year, which will limit experimental stocking in 1991. Modification of the fish ladder at the Cabinet Gorge Fish Hatchery to improve adult escapement is strongly recommended to increase egg-take. 27 refs., 28 figs., 6 tabs.

Paragamian, Vaughn L.

1991-03-01T23:59:59.000Z

351

Total Space Heat-  

Gasoline and Diesel Fuel Update (EIA)

Survey: Energy End-Use Consumption Tables Total Space Heat- ing Cool- ing Venti- lation Water Heat- ing Light- ing Cook- ing Refrig- eration Office Equip- ment Com- puters Other...

352

Differences of opinion and the cross-section of stock returns  

E-Print Network (OSTI)

We provide evidence that stocks with higher dispersion in analysts’ earnings forecasts earn lower future returns than otherwise similar stocks. This effect is most pronounced in small stocks, and stocks that have performed poorly over the past year. Interpreting dispersion in analysts ’ forecasts as a proxy for differences in opinion about a stock, we show that this evidence is consistent with the hypothesis that prices will reflect the optimistic view whenever investors with the lowest valuations do not trade. By contrast, our evidence is inconsistent with a view that dispersion in analysts’ forecasts proxies for risk.

Karl B. Diether; Christopher J. Malloy; Anna Scherbina

2001-01-01T23:59:59.000Z

353

Total Energy - Data - U.S. Energy Information Administration (EIA)  

U.S. Energy Information Administration (EIA)

Coal. Reserves, production, prices, employ- ment and productivity, distribution, stocks, imports and exports. Renewable & Alternative Fuels.

354

U.S. Total Exports  

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

TX Roma, TX Total to Portugal Sabine Pass, LA Total to Russia Kenai, AK Total to South Korea Freeport, TX Sabine Pass, LA Total to Spain Cameron, LA Sabine Pass, LA Total to...

355

U.S. Total Exports  

Gasoline and Diesel Fuel Update (EIA)

Rio Bravo, TX Roma, TX Total to Portugal Sabine Pass, LA Total to Russia Total to South Korea Freeport, TX Sabine Pass, LA Total to Spain Cameron, LA Sabine Pass, LA Total to...

356

Hubei Shenzhou New Energy Power Generation Stock Co Ltd | Open Energy  

Open Energy Info (EERE)

Hubei Shenzhou New Energy Power Generation Stock Co Ltd Hubei Shenzhou New Energy Power Generation Stock Co Ltd Jump to: navigation, search Name Hubei Shenzhou New Energy Power Generation Stock Co Ltd Place Hubei Province, China Sector Biomass Product Hubei-based biomass power project developer. References Hubei Shenzhou New Energy Power Generation Stock Co Ltd[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Hubei Shenzhou New Energy Power Generation Stock Co Ltd is a company located in Hubei Province, China . References ↑ "Hubei Shenzhou New Energy Power Generation Stock Co Ltd" Retrieved from "http://en.openei.org/w/index.php?title=Hubei_Shenzhou_New_Energy_Power_Generation_Stock_Co_Ltd&oldid=346655

357

Taking stock of renewables: NREL teaches farm and ranch appliations  

Science Conference Proceedings (OSTI)

NREL workshop leaders find a receptive audience for renewable energy technologies among farmers and ranchers. As an exhibitor/participant in Denver`s National Western Stock Show, the National Renewable Energy Laboratory (NREL) of Golden, Colorado sponsored an educational workshop to demonstrate applications of solar and wind energy on the farm and ranch, offering a very non-traditional energy approach to people who pride themselves in tradition. This article describes solar and wind energy applications to farms and ranches.

Marsh, M.G. [NREL, Golden, CO (United States)

1996-09-01T23:59:59.000Z

358

Duck Valley Resident Fish Stocking Program, 2000 Final Annual Report.  

DOE Green Energy (OSTI)

The Shoshone-Paiute Tribes fish-stocking program was begun in 1988 and is intended to provide a subsistence fishery for the tribal members. The program stocks catchable and fingerling size trout in Mt. View and Sheep Creek Reservoirs. Rainbow trout are purchased from only certified disease-free facilities to be stocked in our reservoirs. This project will help restore a fishery for tribal members that historically depended on wild salmon and steelhead in the Owyhee and Bruneau Rivers and their tributaries for their culture as well as for subsistence. This project is partial substitution for loss of anadromous fish production due to construction and operation of hydroelectric dams on the Columbia and Snake Rivers. Until anadromous fish can be returned to the Owyhee and Bruneau Rivers this project will continue indefinitely. As part of this project the Shoshone-Paiute Tribes will also receive income in the form of fees from non-tribal members who come to fish these reservoirs. Regular monitoring and evaluation of the fishery will include sampling for length/weight/condition and for signs of disease. A detailed Monitoring and evaluation plan has been put in place for this project. However due to budget limitations on this project only the fishery surveys and limited water quality work can be completed. A creel survey was initiated in 1998 and we are following the monitoring and evaluation schedule for this program (as budget allows) as well as managing the budget and personnel. This program has been very successful in the past decade and has provided enjoyment and sustenance for both tribal and non-tribal members. All biological data and stocking rates will be including in the Annual reports to Bonneville Power Administration (BPA).

Dodson, Guy; Pero, Vincent

2002-01-01T23:59:59.000Z

359

Lake Roosevelt Fisheries Evaluation Program : Meadow Creek vs. Lake Whatcom Stock Kokanee Salmon Investigations in Lake Roosevelt Annual Report 2000-2001.  

DOE Green Energy (OSTI)

Lake Roosevelt has been stocked with Whatcom stock kokanee since 1989 to mitigate for anadromous salmon losses caused by the construction of Grand Coulee Dam. The primary objective of the hatchery plantings was to create a self-sustaining recreational fishery. Due to low return numbers, it was hypothesized a native stock of kokanee might perform better than the coastal Whatcom strain. Therefore, kokanee from Meadow Creek, a tributary of Kootenay Lake, British Columbia were selected as an alternative stock. Matched pair releases of Whatcom stock and Meadow Creek kokanee were made from Sherman Creek in late June 2000. Stock performance between Lake Whatcom and Meadow Creek kokanee was evaluated through three performance measures (1) returns to Sherman Creek, the primary egg collection facility, (2) returns to other tributaries, indicating availability for angler harvest, and (3) returns to the creel. A secondary objective was to evaluate the numbers collected at downstream fish passage facilities. Age 2 kokanee were collected during five passes through the reservoir, which included 89 tributaries between August 17th and November 7th, 2000. Sherman Creek was sampled once a week because it was the primary egg collection location. A total of 2,789 age 2 kokanee were collected, in which 2,658 (95%) were collected at Sherman Creek. Chi-square analysis indicated the Meadow Creek kokanee returned to Sherman Creek in significantly higher numbers compared to the Whatcom stock ({chi}{sup 2} = 734.4; P < 0.01). Reservoir wide recoveries indicated similar results ({chi}{sup 2} = 733.1; P < 0.01). No age 2 kokanee were collected during creel surveys. Age 3 kokanee are expected to recruit to the creel in 2001. No age 2 kokanee were collected at the fish passage facilities due to a 170 mm size restriction at the fish passage centers. Age 3 kokanee are expected to be collected at the fish passage centers during 2001. Stock performance cannot be properly evaluated until 2001, when age 3 kokanee are expected to return to Sherman Creek.

McLellan, Holly J.; Scholz, Allan T.

2001-07-01T23:59:59.000Z

360

21 briefing pages total  

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

briefing pages total p. 1 briefing pages total p. 1 Reservist Differential Briefing U.S. Office of Personnel Management December 11, 2009 p. 2 Agenda - Introduction of Speakers - Background - References/Tools - Overview of Reservist Differential Authority - Qualifying Active Duty Service and Military Orders - Understanding Military Leave and Earnings Statements p. 3 Background 5 U.S.C. 5538 (Section 751 of the Omnibus Appropriations Act, 2009, March 11, 2009) (Public Law 111-8) Law requires OPM to consult with DOD Law effective first day of first pay period on or after March 11, 2009 (March 15 for most executive branch employees) Number of affected employees unclear p. 4 Next Steps

Note: This page contains sample records for the topic "bureau total stocks" 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

Shandong Jinjing Science Technology Stock Co Ltd | Open Energy Information  

Open Energy Info (EERE)

Shandong Jinjing Science Technology Stock Co Ltd Shandong Jinjing Science Technology Stock Co Ltd Jump to: navigation, search Name Shandong Jinjing Science & Technology Stock Co Ltd Place Zibo, Shandong Province, China Zip 255200 Sector Solar Product Zibo-based glass producer. The firm makes low-iron super white glass for use in solar modules. Coordinates 36.799999°, 118.050003° 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":36.799999,"lon":118.050003,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

362

Method and apparatus for forming flues on tubular stock  

DOE Patents (OSTI)

The present invention is directed to a die mechanism utilized for forming flues on long, relatively narrow tubular stock. These flues are formed by displacing a die from within the tubular stock through perforations previously drilled through the tubular stock at selected locations. The drawing of the die upsets the material to form the flue of the desired configuration. The die is provided with a lubricating system which enables the lubricant to be dispensed uniformly about the entire periphery of the die in contact with the material being upset so as to assure the formation of the flues. Further, the lubricant is dispensed from within the die onto the peripheral surface of the latter at pressures in the range of about 2000 to 10,000 psi so as to assure the adequate lubrication of the die during the drawing operation. By injecting the lubricant at such high pressures, low viscosity liquid, such as water and/or alcohol, may be efficiently used as a lubricant and also provides a mechanism by which the lubricant may be evaporated from the surface of the flues at ambient conditions so as to negate the cleansing operations previously required prior to joining the flues to other conduit mechanisms by fusion welding and the like.

Beck, D.E.; Carson, C.

1979-12-21T23:59:59.000Z

363

New Mexico's energy resources '81. Annual report of Bureau of Geology in the Mining and Minerals Division of New Mexico Energy and Minerals Department  

DOE Green Energy (OSTI)

Although production of U/sub 3/O/sub 8/ declined only slightly in 1980, New Mexico's share of domestic production has declined from 48% in 1976 to 35% in 1980. Production projections indicate a continued decline in 1981 and lower production until at least 1984. New Mexico has 41% of total domestic reserves producible in the $50-per-lb cost category. In keeping with the anticipated steady depletion of reserves, production of crude oil in New Mexico was 69.9 million bls, a 6.3% decline in production from 1979. Condensate production of 5.4 million bbls in 1980, however, represented an increase of 7% from 1979 production. Although natural gas production was the lowest since 1970 and declined by 2.6% from 1979 production, 1980 was the 15th year that production exceeded 1 trillion cu ft. Despite declines in production, the valuation of oil and gas production has increased significantly with oil sales doubling from the previous year and gas sales increasing by $409 million because of higher prices. Reserves have been estimated to be 959 million bbls of crude oil and 17.667 trillion cu ft of natural gas. Production of 19.5 million short tons of coal in 1980 represented a 33% increase over 1979 production and an increase of 157% since 1970. Coal resources in New Mexico are estimated to be 180.79 billion short tons, and production is projected to incease to 39.61 million tons in 1985 and 67.53 million tons in 1990. The most notable developments in geothermal energy have been in technical advances in drilling, testing, and applications, especially in the area of hot dry rock systems. The US Bureau of Land Management has issued 113 geothermal leases that remain active. Recent geothermal exploration activity has been detailed for 21 companies.

Arnold, E.C.; Hill, J.M. (comps.)

1981-09-03T23:59:59.000Z

364

Barge Truck Total  

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

Barge Barge Truck Total delivered cost per short ton Shipments with transportation rates over total shipments Total delivered cost per short ton Shipments with transportation rates over total shipments Year (nominal) (real) (real) (percent) (nominal) (real) (real) (percent) 2008 $6.26 $5.77 $36.50 15.8% 42.3% $6.12 $5.64 $36.36 15.5% 22.2% 2009 $6.23 $5.67 $52.71 10.8% 94.8% $4.90 $4.46 $33.18 13.5% 25.1% 2010 $6.41 $5.77 $50.83 11.4% 96.8% $6.20 $5.59 $36.26 15.4% 38.9% Annual Percent Change First to Last Year 1.2% 0.0% 18.0% - - 0.7% -0.4% -0.1% - - Latest 2 Years 2.9% 1.7% -3.6% - - 26.6% 25.2% 9.3% - - - = No data reported or value not applicable STB Data Source: The Surface Transportation Board's 900-Byte Carload Waybill Sample EIA Data Source: Form EIA-923 Power Plant Operations Report

365

Summary Max Total Units  

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

Max Total Units Max Total Units *If All Splits, No Rack Units **If Only FW, AC Splits 1000 52 28 28 2000 87 59 35 3000 61 33 15 4000 61 33 15 Totals 261 153 93 ***Costs $1,957,500.00 $1,147,500.00 $697,500.00 Notes: added several refrigerants removed bins from analysis removed R-22 from list 1000lb, no Glycol, CO2 or ammonia Seawater R-404A only * includes seawater units ** no seawater units included *** Costs = (total units) X (estimate of $7500 per unit) 1000lb, air cooled split systems, fresh water Refrig Voltage Cond Unit IF-CU Combos 2 4 5 28 References Refrig Voltage C-U type Compressor HP R-404A 208/1/60 Hermetic SA 2.5 R-507 230/1/60 Hermetic MA 2.5 208/3/60 SemiHerm SA 1.5 230/3/60 SemiHerm MA 1.5 SemiHerm HA 1.5 1000lb, remote rack systems, fresh water Refrig/system Voltage Combos 12 2 24 References Refrig/system Voltage IF only

366

U.S. Total Exports  

Annual Energy Outlook 2012 (EIA)

NY Waddington, NY Sumas, WA Sweetgrass, MT Total to Chile Sabine Pass, LA Total to China Kenai, AK Sabine Pass, LA Total to India Freeport, TX Sabine Pass, LA Total to Japan...

367

Paul J. Merges, PhD Director, Bureau of Radiation New York State Department of Environmental Conservation  

Office of Legacy Management (LM)

AU62 & 1993 AU62 & 1993 Paul J. Merges, PhD Director, Bureau of Radiation New York State Department of Environmental Conservation 50 Wolf Road Albany, New York 12233 1; Dear Dr. Merges: Your letter of August 13, 1993, requested information concerning the I Mt. Kisco, New York, site that was used for radium production by the former Canadian Radium and Uranium Company. This site was considered for the U.S. Department of Energy's Formerly Utilized Sites Remedial Action Program, and it was eliminated from consideration in 1987. As yourequested, copies of the pertinent documents are enclosed. I Dr. W. Alexander Williams (301-903-8149) is the appropriate contact for any necessary followup with your staff. t Sincerely, Enclosures Division of Off-Site Programs

368

Speakers: Glen Sweetnam, EIA Michelle Michot Foss, Chief Energy Economist and Head, Center for Energy Economics, Bureau of  

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

7: "Natural Gas: U.S. Markets in a Global Context" 7: "Natural Gas: U.S. Markets in a Global Context" Speakers: Glen Sweetnam, EIA Michelle Michot Foss, Chief Energy Economist and Head, Center for Energy Economics, Bureau of Economic Geology, Jackson School of Geosciences, University of Texas Benjamin Schlesinger, Benjamin Schlesinger and Associates, Inc. Andrew Slaughter, Shell [Note: Recorders did not pick up introduction of panel (see biographies for details on the panelists) or introduction of session.] Glenn: Let me welcome you to the Natural Gas Session. This is the only session in this conference that's devoted exclusively to natural gas [laughs]. I'm Glenn Sweetnam and I'm with the Energy Information Administration, and we're very fortunate this morning to have 3 very astute and long-time observers of the natural gas market to

369

Total Sales of Kerosene  

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

End Use: Total Residential Commercial Industrial Farm All Other Period: End Use: Total Residential Commercial Industrial Farm All Other Period: Annual Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & Notes Show Data By: End Use Area 2007 2008 2009 2010 2011 2012 View History U.S. 492,702 218,736 269,010 305,508 187,656 81,102 1984-2012 East Coast (PADD 1) 353,765 159,323 198,762 237,397 142,189 63,075 1984-2012 New England (PADD 1A) 94,635 42,570 56,661 53,363 38,448 15,983 1984-2012 Connecticut 13,006 6,710 8,800 7,437 7,087 2,143 1984-2012 Maine 46,431 19,923 25,158 24,281 17,396 7,394 1984-2012 Massachusetts 7,913 3,510 5,332 6,300 2,866 1,291 1984-2012 New Hampshire 14,454 6,675 8,353 7,435 5,472 1,977 1984-2012

370

Utah Distillate Fuel Oil, Greater than 15 to 500 ppm Sulfur Stocks ...  

U.S. Energy Information Administration (EIA)

Utah Distillate Fuel Oil, Greater than 15 to 500 ppm Sulfur Stocks at Refineries, Bulk Terminals, and Natural Gas Plants (Thousand Barrels)

371

Internal Evolution for Agent Cognition - Agent-Based Modelling of an Artificial Stock Market.  

E-Print Network (OSTI)

??Agent-Based Modeling (ABM) is a powerful simulation technique with applications in several fields, in particular social sciences. Artificial Stock Market (ASM), introduced by a group… (more)

Hassanzadeh, Morteza

2011-01-01T23:59:59.000Z

372

Two essays on the study of capital structure in Chinese stock market.  

E-Print Network (OSTI)

??This thesis contains two essays on the study of capital structure in Chinese stock market. The first essay tries to prove the validity of the… (more)

Cai, Jinghan (???)

2005-01-01T23:59:59.000Z

373

Financial liberalisation and the capital structure of firms listed on the Johannesburg stock exchange.  

E-Print Network (OSTI)

??This thesis examines the impact of financial liberalisation on the capital structure of non-financial firms listed on the Johannesburg Stock Exchange (JSE). The research hypotheses… (more)

Chipeta, Chimwemwe

2012-01-01T23:59:59.000Z

374

U.S. Crude Oil Stocks by Type - Energy Information Administration  

U.S. Energy Information Administration (EIA)

-No Data Reported; --= Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Notes: Crude oil stocks in the ...

375

Stock market volatility and price discovery : three essays on the effect of macroeconomic information  

E-Print Network (OSTI)

Simple Microstructure Model of Price Determination . . 3.11Stock Market Volatility and Price Discovery: Three Essays onConstruction Spending PRICES CPI MONETARY POLICY FFR Source:

Rangel, Jose Gonzalo

2006-01-01T23:59:59.000Z

376

Rocky Mountain (PADD 4) Asphalt and Road Oil Stocks by Type  

U.S. Energy Information Administration (EIA)

-No Data Reported; --= Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Notes: Crude oil stocks in the ...

377

West Coast (PADD 5) Stocks of Crude Oil and Petroleum Products  

U.S. Energy Information Administration (EIA)

-No Data Reported; --= Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Notes: Stocks include those ...

378

Catalytic conversion of C3+ alcohols to hydrocarbon blend-stock  

Catalytic conversion of C3+ alcohols to hydrocarbon blend-stock Note: The technology described above is an early stage opportunity. Licensing rights to this ...

379

East Coast (PADD 1) Stocks of Crude Oil and Petroleum Products  

U.S. Energy Information Administration (EIA)

-No Data Reported; --= Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Notes: Stocks include those ...

380

Rocky Mountain (PADD4) Stocks of Crude Oil and Petroleum Products  

U.S. Energy Information Administration (EIA)

-No Data Reported; --= Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Notes: Stocks include those ...

Note: This page contains sample records for the topic "bureau total stocks" 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
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381

Stocks of Crude Oil (Including SPR) - U.S. Energy Information ...  

U.S. Energy Information Administration (EIA)

-No Data Reported; --= Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Notes: Stocks include those ...

382

Residual F.O. - 0.31 to 1.00% Sulfur Refinery Stocks by Type  

U.S. Energy Information Administration (EIA)

-No Data Reported; --= Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Notes: Crude oil stocks in the ...

383

Design Process for Restoring Stock Ride and Roll Characteristics to a Modified Vehicle.  

E-Print Network (OSTI)

??A design process for selection of suspension components for a hybrid vehicle has been proposed. A stock SUV was placed on a suspension parameter measurement… (more)

Roblin, Michael William

2007-01-01T23:59:59.000Z

384

The Role of Self-Efficacy in Stock-Market Participation and Financial Information-Seeking .  

E-Print Network (OSTI)

??This study of self-efficacy's (Bandura, 1977) effects on an individual's likelihood to invest in the stock market and seek financial information attempts to uncover some… (more)

[No author

2008-01-01T23:59:59.000Z

385

Stock market volatility and price discovery : three essays on the effect of macroeconomic information  

E-Print Network (OSTI)

of Macro Announcements: Real Time Price Discovery in Foreign93, 38–62. (2005): “Real Time Price Discovery in Stock, Bond

Rangel, Jose Gonzalo

2006-01-01T23:59:59.000Z

386

U.S. Reformulated RBOB Gasoline Blending Components Stocks by Type  

U.S. Energy Information Administration (EIA)

-No Data Reported; --= Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Notes: Crude oil stocks in the ...

387

Stock price fluctuations and the mimetic behaviors of traders  

E-Print Network (OSTI)

We give a stochastic microscopic modelling of stock markets driven by continuous double auction. If we take into account the mimetic behavior of traders, when they place limit order, our virtual markets shows the power-law tail of the distribution of returns with the exponent outside the Levy stable region, the short memory of returns and the long memory of volatilities. The Hurst exponent of our model is asymptotically 1/2. An explanation is also given for the profile of the autocorrelation function, which is responsible for the value of the Hurst exponent.

Maskawa, J

2006-01-01T23:59:59.000Z

388

Spent fuel test project, Climax granitic stock, Nevada Test Site  

SciTech Connect

The Spent Fuel Test-Climax (SFT-C) is a test of dry geologic storage of spent nuclear reactor fuel. The SFT-C is located at a depth of 420 m in the Climax granitic stock at the Nevada Test Site. Eleven canisters of spent commercial PWR fuel assemblies are to be stored for 3 to 5 years. Additional heat is supplied by electrical heaters, and more than 800 channels of technical information are being recorded. The measurements include rock temperature, rock displacement and stress, joint motion, and monitoring of the ventilation air volume, temperature, and dewpoint.

Ramspott, L.D.

1980-10-24T23:59:59.000Z

389

Total Marketed Production ..............  

Gasoline and Diesel Fuel Update (EIA)

billion cubic feet per day) billion cubic feet per day) Total Marketed Production .............. 68.95 69.77 70.45 71.64 71.91 71.70 71.46 71.57 72.61 72.68 72.41 72.62 70.21 71.66 72.58 Alaska ......................................... 1.04 0.91 0.79 0.96 1.00 0.85 0.77 0.93 0.97 0.83 0.75 0.91 0.93 0.88 0.87 Federal GOM (a) ......................... 3.93 3.64 3.44 3.82 3.83 3.77 3.73 3.50 3.71 3.67 3.63 3.46 3.71 3.70 3.62 Lower 48 States (excl GOM) ...... 63.97 65.21 66.21 66.86 67.08 67.08 66.96 67.14 67.92 68.18 68.02 68.24 65.58 67.07 68.09 Total Dry Gas Production .............. 65.46 66.21 66.69 67.79 68.03 67.83 67.61 67.71 68.69 68.76 68.50 68.70 66.55 67.79 68.66 Gross Imports ................................ 8.48 7.60 7.80 7.95 8.27 7.59 7.96 7.91 7.89 7.17 7.61 7.73 7.96 7.93 7.60 Pipeline ........................................

390

Total Biofuels Consumption (2005 - 2009) Total annual biofuels...  

Open Energy Info (EERE)

Total Biofuels Consumption (2005 - 2009) Total annual biofuels consumption (Thousand Barrels Per Day) for 2005 - 2009 for over 230 countries and regions.      ...

391

Crude Oil Stocks at Tank Farms & Pipelines  

Gasoline and Diesel Fuel Update (EIA)

Stocks at Tank Farms & Pipelines Stocks at Tank Farms & Pipelines (Thousand Barrels) Period: Monthly Annual Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & Notes Area Apr-13 May-13 Jun-13 Jul-13 Aug-13 Sep-13 View History U.S. 263,633 264,749 252,781 242,174 232,837 248,898 1981-2013 East Coast (PADD 1) 2,000 1,635 1,585 1,793 1,507 2,033 1981-2013 Midwest (PADD 2) 100,842 101,525 99,186 89,116 84,420 84,878 1981-2013 Cushing, OK 49,237 50,172 48,671 40,459 34,809 33,017 2004-2013 Gulf Coast (PADD 3) 121,316 121,816 113,846 112,745 112,059 122,497 1981-2013 Rocky Mountain (PADD 4) 12,813 12,512 12,003 12,181 12,858 12,956 1981-2013 West Coast (PADD 5) 26,662 27,261 26,161 26,339 21,993 26,534 1981-2013

392

Total Space Heat-  

Gasoline and Diesel Fuel Update (EIA)

Released: September, 2008 Released: September, 2008 Total Space Heat- ing Cool- ing Venti- lation Water Heat- ing Light- ing Cook- ing Refrig- eration Office Equip- ment Com- puters Other All Buildings* ........................... 3,037 115 397 384 52 1,143 22 354 64 148 357 Building Floorspace (Square Feet) 1,001 to 5,000 ........................... 386 19 43 18 11 93 7 137 8 12 38 5,001 to 10,000 .......................... 262 12 35 17 5 83 4 56 6 9 35 10,001 to 25,000 ........................ 407 20 46 44 8 151 3 53 9 19 54 25,001 to 50,000 ........................ 350 15 55 50 9 121 2 34 7 16 42 50,001 to 100,000 ...................... 405 16 57 65 7 158 2 29 6 18 45 100,001 to 200,000 .................... 483 16 62 80 5 195 1 24 Q 31 56 200,001 to 500,000 .................... 361 8 51 54 5 162 1 9 8 19 43 Over 500,000 ............................. 383 8 47 56 3 181 2 12 8 23 43 Principal Building Activity

393

Total Space Heat-  

Gasoline and Diesel Fuel Update (EIA)

Revised: December, 2008 Revised: December, 2008 Total Space Heat- ing Cool- ing Venti- lation Water Heat- ing Light- ing Cook- ing Refrig- eration Office Equip- ment Com- puters Other All Buildings ............................. 91.0 33.0 7.2 6.1 7.0 18.7 2.7 5.3 1.0 2.2 7.9 Building Floorspace (Square Feet) 1,001 to 5,000 ........................... 99.0 30.7 6.7 2.7 7.1 13.9 7.1 19.9 1.1 1.7 8.2 5,001 to 10,000 .......................... 80.0 30.1 5.5 2.6 6.1 13.6 5.2 8.2 0.8 1.4 6.6 10,001 to 25,000 ........................ 71.0 28.2 4.5 4.1 4.1 14.5 2.3 4.5 0.8 1.6 6.5 25,001 to 50,000 ........................ 79.0 29.9 6.8 5.9 6.3 14.9 1.7 3.9 0.8 1.8 7.1 50,001 to 100,000 ...................... 88.7 31.6 7.6 7.6 6.5 19.6 1.7 3.4 0.7 2.0 8.1 100,001 to 200,000 .................... 104.2 39.1 8.2 8.9 7.9 22.9 1.1 2.9 Q 3.2 8.7 200,001 to 500,000 ....................

394

Total Space Heat-  

Gasoline and Diesel Fuel Update (EIA)

Revised: December, 2008 Revised: December, 2008 Total Space Heat- ing Cool- ing Venti- lation Water Heat- ing Light- ing Cook- ing Refrig- eration Office Equip- ment Com- puters Other All Buildings ............................. 91.0 33.0 7.2 6.1 7.0 18.7 2.7 5.3 1.0 2.2 7.9 Building Floorspace (Square Feet) 1,001 to 5,000 ........................... 99.0 30.7 6.7 2.7 7.1 13.9 7.1 19.9 1.1 1.7 8.2 5,001 to 10,000 .......................... 80.0 30.1 5.5 2.6 6.1 13.6 5.2 8.2 0.8 1.4 6.6 10,001 to 25,000 ........................ 71.0 28.2 4.5 4.1 4.1 14.5 2.3 4.5 0.8 1.6 6.5 25,001 to 50,000 ........................ 79.0 29.9 6.8 5.9 6.3 14.9 1.7 3.9 0.8 1.8 7.1 50,001 to 100,000 ...................... 88.7 31.6 7.6 7.6 6.5 19.6 1.7 3.4 0.7 2.0 8.1 100,001 to 200,000 .................... 104.2 39.1 8.2 8.9 7.9 22.9 1.1 2.9 Q 3.2 8.7 200,001 to 500,000 ....................

395

An efficient fuzzy based neuro: genetic algorithm for stock market prediction  

Science Conference Proceedings (OSTI)

Stock market prediction is a complex and tedious task that involves the processing of large amounts of data, that are stored in ever growing databases. The vacillating nature of the stock market requires the use of data mining techniques like clustering ... Keywords: Kohonen network, clustering, data mining, genetic algorithms, machine learning, prediction

K. G. Srinivasa; K. R. Venugopal; L. M. Patnaik

2006-01-01T23:59:59.000Z

396

Use of Productivity and Susceptibility Indices to Determine Stock Vulnerability, with  

E-Print Network (OSTI)

of fish) should change as a function of spawning biomass of the stock or stock complex. The NS1 guidelines information. Control rules should be designed so that management actions become more conservative as biomass.5 are defined as high and low susceptibility, respectively. Biomass of Spawners: Analogous to fishing mortality

397

Stock Trading Using RSPOP: A Novel Rough Set-Based Neuro-Fuzzy Approach  

Science Conference Proceedings (OSTI)

This paper investigates the method of forecasting stock price difference on artificially generated price series data using neuro-fuzzy systems and neural networks. As trading profits is more important to an investor than statistical performance, this ... Keywords: Forecasting theory, fuzzy neural networks, rough set theory, stock market, time series

K. K. Ang; C. Quek

2006-09-01T23:59:59.000Z

398

Modelling the Stock Market using Twitter M. Sebastian A. WolframTH  

E-Print Network (OSTI)

to predict price trends immediately after the release of the article. He used press release articles rather et al. (Fung et al., 2002) who used pattern recognition methodologies to model stock price trends a major role in affecting the price of a company's stock. In today's information age, news can spread

Koehn, Philipp

399

Stock returns and the dispersion in earnings forecasts,” Working Paper No  

E-Print Network (OSTI)

Abstract: The efficient market hypothesis based on homogeneous expectations implies that future stock returns are unpredictable. However, the forecastability of stock returns has been well documented in a substantial literature. This paper introduces a new forecasting variable, dispersion in analysts ’ earnings forecasts. The implication from this finding is not only that we have another piece of evidence that stock returns are predictable, but also that alternative models should be used to explain movements of stock prices. Hence, this paper derives a relation between the dispersion in forecasts and future stock returns based on Harrison and Kreps (1978) and shows that the dispersion in forecasts exerts its own positive effect on demand in the market. Furthermore, this paper shows empirically that the dispersion in expectations has particularly strong predictive power for future stock returns at intermediate horizons (between 24 months and 43 months) and that it contains information about future stock returns aside from the information contained in other variables. In addition, the direction of predictive power from the dispersion for future stock returns is consistent with the derived relation from Harrison and Kreps (1978). This paper also shows that most of the movements in dispersion cannot be explained by other variables, such as common financial indicators, macroeconomic variables, market volatility, or non-economic events. Finally, Monte Carlo simulation shows that finite sample biases in long-horizon regressions using the dispersion do not seem so serious.

Cheolbeom Park

2001-01-01T23:59:59.000Z

400

Stocking of Offsite Waters for Hungry Horse Dam Mitigation Creston National Fish Hatchery, FY 2006 Annual Report.  

Science Conference Proceedings (OSTI)

A total of 350,000, M012 strain, westslope cutthroat trout (WCT) eggs were received from Montana Fish Wildlife & Parks (MFWP), Washoe Park State Fish Hatchery in June of 2005 to accomplish this fishery management objective. These eggs were incubated, hatched and reared entirely inside the hatchery nursery building using a protected well water supply. Fish grew according to schedule and survival was excellent. The hatchery achieved a 0.78 feed fed to pounds gained conversion ratio for this group of WCT. Not all of the progenies from this fish lot were used for Hungry Horse Dam Fishery Mitigation Implementation. Some were used for other regional fishery management projects. Westslope cutthroat trout were reared using approved fish culture techniques as recommended in the USFWS Fish Hatchery Management Handbook and also utilizing a regimen adapted for hatchery specific site conditions. The fish health for these WCT was very good. Survival from first feeding fry stage to stocking was 79%. The hatchery had an annual fish health inspection performed by the USFWS Bozeman Fish Health Center in mid March of 2006. This inspection found all fish lots at Creston to be disease free. The Montana State Fish Health Board has placed the hatchery under a limited quarantine since May of 2005 due to an epizootic of Furunculosis. This classification has allowed the Creston NFH to stock disease free fish in locations approved by regional fish managers. The hatchery has been working with the State Fish Pathologist to remove the limited quarantine classification from the facility. Although fish health for all station fish lots remains disease free, MFWP has asserted it will not remove the limited quarantine until the new influent water treatment system, including the ultraviolet disinfection unit, is running full time, year round. The USFWS is working to secure the additional funding necessary to operate the treatment building year round. Distribution of the WCT took place from March through June. The stocking locations on the Flathead Reservation and State managed waters were identified by Confederated Salish and Kootenai Tribe (CSKT) and MFWP fishery biologists. Post release survival and angler success is monitored routinely by CSKT and MFWP fishery technicians. Stocking numbers and locations vary annually based on the results of biological monitoring, creel evaluations and adaptive management decisions. A total of 99,126 WCT were stocked during nine distribution trips in management approved waters (see Table 1). The average size of WCT at stocking was 3.91-inches. A total of 101,600, Arlee strain, rainbow trout (RBT) eggs were received from the Ennis National Fish Hatchery, Ennis, Montana, in December of 2005 and 35,000 Kamloops strain eggs were received from Murray Springs SFH, Eureka, Montana, in March of 2006 to accomplish this fishery management objective. The RBT were reared using approved fish culture techniques as recommended in the USFWS Fish Hatchery Management Handbook. There was no fish health related problems associated with this lot of fish. Survival from swim up fry stage to stocking was 93% for the Arlee's and 79% for the Kamloops. The hatchery achieved a 0.68 feed fed to pounds gained conversion ratio for the Arlee and 0.97 for the Kamloops RBT. The excellent feed conversion ratio can be attributed to refined feeding techniques and the use of an extruded high performance fry feed made with premium fish meal and marine fish oil. The Arlee strain of rainbow trout is requested for this fishery mitigation objective because the chosen stocking locations are terminal basin reservoirs or lakes, habitat conditions prevent natural spawning runs and returns to the creel are more favorable then for native westslope cutthroat trout. MFWP also requested a fall plant of Kamloops strain RBT and they will be evaluated for performance and future fall stockings in Echo Lake. Post release survival and angler success is monitored routinely by the Confederated Salish and Kootenai Tribe (CSKT) and Montana Fish Wildlife & Parks (MFWP) fishery techn

Hooley, Sharon

2009-03-20T23:59:59.000Z

Note: This page contains sample records for the topic "bureau total stocks" 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

Determination of Total Petroleum Hydrocarbons (TPH) Using Total Carbon Analysis  

SciTech Connect

Several methods have been proposed to replace the Freon(TM)-extraction method to determine total petroleum hydrocarbon (TPH) content. For reasons of cost, sensitivity, precision, or simplicity, none of the replacement methods are feasible for analysis of radioactive samples at our facility. We have developed a method to measure total petroleum hydrocarbon content in aqueous sample matrixes using total organic carbon (total carbon) determination. The total carbon content (TC1) of the sample is measured using a total organic carbon analyzer. The sample is then contacted with a small volume of non-pokar solvent to extract the total petroleum hydrocarbons. The total carbon content of the resultant aqueous phase of the extracted sample (TC2) is measured. Total petroleum hydrocarbon content is calculated (TPH = TC1-TC2). The resultant data are consistent with results obtained using Freon(TM) extraction followed by infrared absorbance.

Ekechukwu, A.A.

2002-05-10T23:59:59.000Z

402

U.S. Total Exports  

Gasoline and Diesel Fuel Update (EIA)

Babb, MT Havre, MT Port of Morgan, MT Pittsburg, NH Grand Island, NY Massena, NY Niagara Falls, NY Waddington, NY Sumas, WA Sweetgrass, MT Total to Chile Sabine Pass, LA Total to China Kenai, AK Sabine Pass, LA Total to India Freeport, TX Sabine Pass, LA Total to Japan Cameron, LA Kenai, AK Sabine Pass, LA Total to Mexico Douglas, AZ Nogales, AZ Calexico, CA Ogilby Mesa, CA Otay Mesa, CA Alamo, TX Clint, TX Del Rio, TX Eagle Pass, TX El Paso, TX Hidalgo, TX McAllen, TX Penitas, TX Rio Bravo, TX Roma, TX Total to Portugal Sabine Pass, LA Total to Russia Total to South Korea Freeport, TX Sabine Pass, LA Total to Spain Cameron, LA Sabine Pass, LA Total to United Kingdom Sabine Pass, LA Period: Monthly Annual

403

Summary Report for Bureau of Fisheries Stream Habitat Surveys: Cowlitz River Basin, 1934-1942 Final Report.  

DOE Green Energy (OSTI)

This document contains summary reports of stream habitat surveys, conducted in the Cowlitz River basin, by the Bureau of Fisheries (BOF, now National Marine Fisheries Service) from 1938-1942. These surveys were part of a larger project to survey streams in the Columbia River basin that provided, or had provided, spawning and rearing habitat for salmon and steelhead. The purpose of the survey was, as described by Rich, [open quotes]to determine the present condition of the various tributaries with respect to their availability and usefulness for the migration, breeding, and rearing of migratory fishes[close quotes]. Current estimates of the loss of anadromous fish habitat in the Columbia River Basin are based on a series of reports published from 1949-1952 by the U.S. Fish and Wildlife Service. The reports were brief, qualitative accounts of over 5000 miles of stream surveys conducted by the BOF from 1934-1946. Despite their brevity, these BOF reports have formed the basis for estimating fish habitat losses and conditions in the Columbia River Basin.

McIntosh, Bruce A.; Clark, Sharon E.; Sedell, James R.

1995-01-01T23:59:59.000Z

404

The Stock Market Reaction to Oil Price Changes  

E-Print Network (OSTI)

I explore the reaction of the stock market as a whole and of different industries to daily oil price changes. I find that the direction and magnitude of the market?s reaction to oil price changes depend on the magnitude of the price changes. Oil price changes most likely caused by supply shocks have a negative impact while oil price changes most likely caused by shifts in aggregate demand have a positive impact on the same day market returns. In addition to the returns of oil-intensive industries, returns of industries that do not use oil to any significant extent are also sensitive to oil price changes. Finally, I show that both the cost-side dependence and demand-side dependence on oil are important in explaining the sensitivity of industry returns to oil price changes. I am indebted to Louis Ederington. I am grateful for the helpful comments received from Chitru Fernando,

Sridhar Gogineni

2008-01-01T23:59:59.000Z

405

Columbia River Stock Identification Study; Validation of Genetic Method, 1980-1981 Final Report.  

DOE Green Energy (OSTI)

The reliability of a method for obtaining maximum likelihood estimate of component stocks in mixed populations of salmonids through the frequency of genetic variants in a mixed population and in potentially contributing stocks was tested in 1980. A data base of 10 polymorphic loci from 14 hatchery stocks of spring chinook salmon of the Columbia River was used to estimate proportions of these stocks in four different blind'' mixtures whose true composition was only revealed subsequent to obtaining estimates. The accuracy and precision of these blind tests have validated the genetic method as a valuable means for identifying components of stock mixtures. Properties of the genetic method were further examined by simulation studies using the pooled data of the four blind tests as a mixed fishery. Replicated tests with samples sizes between 100 and 1,000 indicated that actual standard deviations on estimated contributions were consistently lower than calculated standard deviations; this difference diminished as sample size increased. It is recommended that future applications of the method be preceded by simulation studies that will identify appropriate levels of sampling required for acceptable levels of accuracy and precision. Variables in such studies include the stocks involved, the loci used, and the genetic differentiation among stocks. 8 refs., 6 figs., 4 tabs.

Milner, George B.; Teel, David J.; Utter, Fred M. (Northwest and Alaska Fisheries Science Center, Coastal Zone and Estuarine Studies Division, Seattle, WA)

1981-06-01T23:59:59.000Z

406

Joint Environmental Assessment of the California Department of Food and Agriculture Curly Tope Virus Control Program for the Bureau of Land Management and Department of Energy  

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

JOINT ENVIRONMENTAL ASSESSMENT JOINT ENVIRONMENTAL ASSESSMENT 2002-2006 OF THE CALIFORNIA DEPARTMENT OF FOOD AND AGRICULTURE CURLY TOP VIRUS CONTROL PROGRAM FOR BUREAU OF LAND MANAGEMENT AND DEPARTMENT OF ENERGY DOE/EA-# 1363 April, 2002 2 TABLE OF CONTENTS Page No. I. INTRODUCTION 9 A. Purpose and Need......................................................... 10 B. Background................................................................... 10-11 II. PROPOSED ACTIONS AND ALTERNATIVES Alternative 1 - Proposed Action........................................... 12 General Program.................................................... 12-15 Program Specifics.................................................. 15-18 Public Health and Environmental Considerations:

407

Combinatorial aspects of total positivity  

E-Print Network (OSTI)

In this thesis I study combinatorial aspects of an emerging field known as total positivity. The classical theory of total positivity concerns matrices in which all minors are nonnegative. While this theory was pioneered ...

Williams, Lauren Kiyomi

2005-01-01T23:59:59.000Z

408

Total correlations and mutual information  

E-Print Network (OSTI)

In quantum information theory it is generally accepted that quantum mutual information is an information-theoretic measure of total correlations of a bipartite quantum state. We argue that there exist quantum states for which quantum mutual information cannot be considered as a measure of total correlations. Moreover, for these states we propose a different way of quantifying total correlations.

Zbigniew Walczak

2008-06-30T23:59:59.000Z

409

Summary Report for Bureau of Fisheries Stream Habitat Surveys : Yakima River Basin, 1934-1942, Final Report.  

DOE Green Energy (OSTI)

This document contains summary reports of stream habitat surveys, conducted in the Yakima River basin, by the Bureau of Fisheries (BOF, now National Marine Fisheries Service) from 1934-1942. These surveys were part of a larger project to survey streams in the Columbia River basin that provided, or had provided, spawning and rearing habitat for salmon and steelhead (Rich, 1948). The purpose of the survey was, as described by Rich, 'to determine the present condition of the various tributaries with respect to their availability and usefulness for the migration, breeding, and rearing of migratory fishes'. Current estimates of the loss of anadromous fish habitat in the Columbia River Basin are based on a series of reports published from 1949-1952 by the U.S. Fish and Wildlife Service. The reports were brief, qualitative accounts of over 5000 miles of stream surveys conducted by the BOF from 1934-1946 (Bryant, 1949; Bryant and Parkhurst, 1950; Parkhurst, 1950a-c; Parkhurst et al., 1950). Despite their brevity, these BOF reports have formed the basis for estimating fish habitat losses and conditions in the Columbia River Basin (Fulton, 1968, 1970; Thompson, 1976; NPPC, 1986). Recently, the field notebooks from the BOF surveys were discovered. The data is now archived and stored in the Forest Science DataBank at Oregon State University (Stafford et al., 1984; 1988). These records are the earliest and most comprehensive documentation available of the condition and extent of anadromous fish habitat before hydropower development in the Columbia River Basin. They provide the baseline data for quantifying changes and setting a benchmark for future restoration of anadromous fish habitat throughout the Basin. The summaries in this book are exact replicates of the originals. Due to discrepancies between the field data and the summaries, the database should be used to assess pool and substrate conditions. This data is available from the Bonneville Power Administration. The Bureau of Fisheries survey is unique because it is the only long-term data set that quantifies fish habitat in a manner that is replicable over time; no other similar work is known to exist. Other surveys, such as Thompson and Haas (1960), inventoried extensive areas in a manner that was mostly qualitative, subjectively estimating physical characteristics like bank cover and stream shading. Spawning, rearing, and resting habitat were not systematically quantified to allow comparisons over time. Knowledge of the past and present quantity and quality of anadromous fish habitat in the Columbia River Basin is essential to any effort to enhance fish populations. Habitat condition is a key element in monitoring and evaluating progress towards the doubling goal. Integration of this information into the Columbia River Fish and Wildlife Plan can provide the baseline information to greatly enhance understanding of past, present, and future habitat conditions in the basin to provide for improved management decisions.

McIntosh, Bruce A.; Clark, Sharon E.; Sedell, James R.

1996-01-01T23:59:59.000Z

410

Summary Report for Bureau of Fisheries Stream Habitat Surveys : Willamette River Basin, 1934-1942, Final Report.  

DOE Green Energy (OSTI)

This document contains summary reports of stream habitat-surveys, conducted in the Willamette River basin, by the Bureau of Fisheries (BOF, now National Marine Fisheries Service) from 1934-1942. These surveys were part of a larger project to survey streams in the Columbia River basin that provided, or had provided, spawning and rearing habitat for salmon and steelhead (Rich, 1948). The purpose of the survey was, as described by Rich, 'to determine the present condition of the various tributaries with respect to their availability and usefulness for the migration, breeding, and rearing of migratory fishes'. Current estimates of the loss of anadromous fish habitat in the Columbia River Basin are based on a series of reports published from 1949-1952 by the U.S. Fish and Wildlife Service. The reports were brief, qualitative accounts of over 5000 miles of stream surveys conducted by the BOF from 1934-1946 (Bryant, 1949; Bryant and Parkhurst, 1950; Parkhurst, 1950a-c; Parkhurst et al., 1950). Despite their brevity, these BOF reports have formed the basis for estimating fish habitat losses and conditions in the Columbia River Basin (Fulton, 1968, 1970; Thompson, 1976; NPPC, 1986). Recently, the field notebooks from the BOF surveys were discovered. The data is now archived and stored in the Forest Science DataBank at Oregon State University (Stafford et al., 1984; 1988). These records are the earliest and most comprehensive documentation available of the condition and extent of anadromous fish habitat before hydropower development in the Columbia River Basin. They provide the baseline data for quantifying changes and setting a benchmark for future restoration of anadromous fish habitat throughout the Basin. The summaries contained in this book are exact replicates of the originals. Due to discrepancies between the field data and the summaries, the database should be used to assess pool and substrate conditions. This data is available from the Bonneville Power Administration. The Bureau of Fisheries survey is unique because it is the only long-term data set that quantifies fish habitat in a manner that is replicable over time; no other similar work is known to exist. Other surveys, such as Thompson and Haas (1960), inventoried extensive areas in a manner that was mostly qualitative, subjectively estimating physical characteristics like bank cover and stream shading. Spawning, rearing, and resting habitat were not systematically quantified to allow comparisons over time. Knowledge of past and present quantity and quality of anadromous fish habitat in the Columbia River Basin is essential to any effort to enhance fish populations. Habitat condition is a key element in monitoring and evaluating progress towards the doubling goal. Integration of this information into the Columbia River Fish and Wildlife Plan can provide the basis to greatly enhance understanding of past, present, and future habitat conditions in the basin to provide for improved management decisions.

McIntosh, Bruce A.; Clark, Sharon E.; Sedell, James R.

1995-01-01T23:59:59.000Z

411

Chief, National Guard Bureau  

E-Print Network (OSTI)

History. This printing publishes a revision of NGR 870-20. Summary. This regulation prescribes the procedures for establishing and administering Army National Guard (ARNG) museums, museum activities (formerly historical holdings) and historical property. Applicability. This regulation applies to the ARNG. Proponent and exception authority. The proponent for this regulation is Chief, NGB-PA. The proponent has the authority to approve exceptions to this regulation that are consistent with controlling law and regulation. Management Control Process. This regulation is not subject to the requirement s of AR 11-2 (Management Control). It does not contain management control provisions. Supplementation. Supplementation of this regulation is prohibited without prior approval from the Chief, National

Russell C. Davis; Michael S. Miller

2002-01-01T23:59:59.000Z

412

Total....................................................................................  

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

5.6 5.6 17.7 7.9 Personal Computers Do Not Use a Personal Computer.................................. 35.5 8.1 5.6 2.5 Use a Personal Computer.............................................. 75.6 17.5 12.1 5.4 Most-Used Personal Computer Type of PC Desk-top Model......................................................... 58.6 14.1 10.0 4.0 Laptop Model............................................................. 16.9 3.4 2.1 1.3 Hours Turned on Per Week Less than 2 Hours..................................................... 13.6 3.4 2.5 0.9 2 to 15 Hours............................................................. 29.1 7.0 4.8 2.3 16 to 40 Hours........................................................... 13.5 2.8 2.1 0.7 41 to 167 Hours......................................................... 6.3

413

Total...................................................................  

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

15.2 15.2 7.8 1.0 1.2 3.3 1.9 For Two Housing Units............................. 0.9 Q N Q 0.6 N Heat Pump.................................................. 9.2 7.4 0.3 Q 0.7 0.5 Portable Electric Heater............................... 1.6 0.8 Q Q Q 0.3 Other Equipment......................................... 1.9 0.7 Q Q 0.7 Q Fuel Oil........................................................... 7.7 5.5 0.4 0.8 0.9 0.2 Steam or Hot Water System........................ 4.7 2.9 Q 0.7 0.8 N For One Housing Unit.............................. 3.3 2.9 Q Q Q N For Two Housing Units............................. 1.4 Q Q 0.5 0.8 N Central Warm-Air Furnace........................... 2.8 2.4 Q Q Q 0.2 Other Equipment......................................... 0.3 0.2 Q N Q N Wood..............................................................

414

Total...............................................................  

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

Do Not Have Cooling Equipment................. Do Not Have Cooling Equipment................. 17.8 5.3 4.7 2.8 1.9 3.1 3.6 7.5 Have Cooling Equipment.............................. 93.3 21.5 24.1 17.8 11.2 18.8 13.0 31.1 Use Cooling Equipment............................... 91.4 21.0 23.5 17.4 11.0 18.6 12.6 30.3 Have Equipment But Do Not Use it............. 1.9 0.5 0.6 0.4 Q Q 0.5 0.8 Air-Conditioning Equipment 1, 2 Central System............................................ 65.9 11.0 16.5 13.5 8.7 16.1 6.4 17.2 Without a Heat Pump.............................. 53.5 9.4 13.6 10.7 7.1 12.7 5.4 14.5 With a Heat Pump................................... 12.3 1.7 2.8 2.8 1.6 3.4 1.0 2.7 Window/Wall Units...................................... 28.9 10.5 8.1 4.5 2.7 3.1 6.7 14.1 1 Unit....................................................... 14.5 5.8 4.3 2.0 1.1 1.3 3.4 7.4 2 Units.....................................................

415

Total.............................................................................  

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

Cooking Appliances Cooking Appliances Frequency of Hot Meals Cooked 3 or More Times A Day......................................... 8.2 1.4 1.0 0.4 2 Times A Day...................................................... 24.6 5.8 3.5 2.3 Once a Day........................................................... 42.3 10.7 7.8 2.9 A Few Times Each Week...................................... 27.2 5.6 4.0 1.6 About Once a Week.............................................. 3.9 0.9 0.6 0.3 Less Than Once a Week....................................... 4.1 1.1 0.7 0.4 No Hot Meals Cooked........................................... 0.9 Q Q N Conventional Oven Use an Oven......................................................... 109.6 25.3 17.6 7.7 More Than Once a Day..................................... 8.9 1.3 0.8 0.5 Once a Day.......................................................

416

Total...............................................................  

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

26.7 26.7 28.8 20.6 13.1 22.0 16.6 38.6 Personal Computers Do Not Use a Personal Computer ........... 35.5 17.1 10.8 4.2 1.8 1.6 10.3 20.6 Use a Personal Computer......................... 75.6 9.6 18.0 16.4 11.3 20.3 6.4 17.9 Number of Desktop PCs 1.......................................................... 50.3 8.3 14.2 11.4 7.2 9.2 5.3 14.2 2.......................................................... 16.2 0.9 2.6 3.7 2.9 6.2 0.8 2.6 3 or More............................................. 9.0 0.4 1.2 1.3 1.2 5.0 0.3 1.1 Number of Laptop PCs 1.......................................................... 22.5 2.2 4.6 4.5 2.9 8.3 1.4 4.0 2.......................................................... 4.0 Q 0.4 0.6 0.4 2.4 Q 0.5 3 or More............................................. 0.7 Q Q Q Q 0.4 Q Q Type of Monitor Used on Most-Used PC Desk-top

417

Total...............................................................  

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

20.6 20.6 25.6 40.7 24.2 Personal Computers Do Not Use a Personal Computer ........... 35.5 6.9 8.1 14.2 6.4 Use a Personal Computer......................... 75.6 13.7 17.5 26.6 17.8 Number of Desktop PCs 1.......................................................... 50.3 9.3 11.9 18.2 11.0 2.......................................................... 16.2 2.9 3.5 5.5 4.4 3 or More............................................. 9.0 1.5 2.1 2.9 2.5 Number of Laptop PCs 1.......................................................... 22.5 4.7 4.6 7.7 5.4 2.......................................................... 4.0 0.6 0.9 1.5 1.1 3 or More............................................. 0.7 Q Q Q 0.3 Type of Monitor Used on Most-Used PC Desk-top CRT (Standard Monitor)................... 45.0 7.9 11.4 15.4 10.2 Flat-panel LCD.................................

418

Total................................................................  

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

111.1 26.7 28.8 20.6 13.1 22.0 16.6 38.6 Do Not Have Space Heating Equipment....... 1.2 0.5 0.3 0.2 Q 0.2 0.3 0.6 Have Main Space Heating Equipment.......... 109.8 26.2 28.5 20.4 13.0 21.8 16.3 37.9 Use Main Space Heating Equipment............ 109.1 25.9 28.1 20.3 12.9 21.8 16.0 37.3 Have Equipment But Do Not Use It.............. 0.8 0.3 0.3 Q Q N 0.4 0.6 Main Heating Fuel and Equipment Natural Gas.................................................. 58.2 12.2 14.4 11.3 7.1 13.2 7.6 18.3 Central Warm-Air Furnace........................ 44.7 7.5 10.8 9.3 5.6 11.4 4.6 12.0 For One Housing Unit........................... 42.9 6.9 10.3 9.1 5.4 11.3 4.1 11.0 For Two Housing Units......................... 1.8 0.6 0.6 Q Q Q 0.4 0.9 Steam or Hot Water System..................... 8.2 2.4 2.5 1.0 1.0 1.3 1.5 3.6 For One Housing Unit...........................

419

Total...........................................................  

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

Q Q Table HC3.2 Living Space Characteristics by Owner-Occupied Housing Units, 2005 2 to 4 Units 5 or More Units Mobile Homes Million U.S. Housing Units Owner- Occupied Housing Units (millions) Type of Owner-Occupied Housing Unit Housing Units (millions) Single-Family Units Apartments in Buildings With-- Living Space Characteristics Detached Attached Energy Information Administration 2005 Residential Energy Consumption Survey: Preliminary Housing Characteristics Tables Table HC3.2 Living Space Characteristics by Owner-Occupied Housing Units, 2005 2 to 4 Units 5 or More Units Mobile Homes Million U.S. Housing Units Owner- Occupied Housing Units (millions) Type of Owner-Occupied Housing Unit Housing Units (millions)

420

Total........................................................................  

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

25.6 25.6 40.7 24.2 Do Not Have Space Heating Equipment............... 1.2 Q Q Q 0.7 Have Main Space Heating Equipment.................. 109.8 20.5 25.6 40.3 23.4 Use Main Space Heating Equipment.................... 109.1 20.5 25.6 40.1 22.9 Have Equipment But Do Not Use It...................... 0.8 N N Q 0.6 Main Heating Fuel and Equipment Natural Gas.......................................................... 58.2 11.4 18.4 13.6 14.7 Central Warm-Air Furnace................................ 44.7 6.1 16.2 11.0 11.4 For One Housing Unit................................... 42.9 5.6 15.5 10.7 11.1 For Two Housing Units................................. 1.8 0.5 0.7 Q 0.3 Steam or Hot Water System............................. 8.2 4.9 1.6 1.0 0.6 For One Housing Unit................................... 5.1 3.2 1.1 0.4

Note: This page contains sample records for the topic "bureau total stocks" 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

Total...........................................................................  

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

0.6 0.6 15.1 5.5 Do Not Have Cooling Equipment............................. 17.8 4.0 2.4 1.7 Have Cooling Equipment.......................................... 93.3 16.5 12.8 3.8 Use Cooling Equipment........................................... 91.4 16.3 12.6 3.7 Have Equipment But Do Not Use it.......................... 1.9 0.3 Q Q Air-Conditioning Equipment 1, 2 Central System........................................................ 65.9 6.0 5.2 0.8 Without a Heat Pump........................................... 53.5 5.5 4.8 0.7 With a Heat Pump............................................... 12.3 0.5 0.4 Q Window/Wall Units.................................................. 28.9 10.7 7.6 3.1 1 Unit................................................................... 14.5 4.3 2.9 1.4 2 Units.................................................................

422

Total.......................................................................  

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

4.2 4.2 7.6 16.6 Personal Computers Do Not Use a Personal Computer ................... 35.5 6.4 2.2 4.2 Use a Personal Computer................................ 75.6 17.8 5.3 12.5 Number of Desktop PCs 1.................................................................. 50.3 11.0 3.4 7.6 2.................................................................. 16.2 4.4 1.3 3.1 3 or More..................................................... 9.0 2.5 0.7 1.8 Number of Laptop PCs 1.................................................................. 22.5 5.4 1.5 3.9 2.................................................................. 4.0 1.1 0.3 0.8 3 or More..................................................... 0.7 0.3 Q Q Type of Monitor Used on Most-Used PC Desk-top CRT (Standard Monitor)...........................

423

Total....................................................................................  

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

111.1 47.1 19.0 22.7 22.3 Personal Computers Do Not Use a Personal Computer.................................. 35.5 16.9 6.5 4.6 7.6 Use a Personal Computer.............................................. 75.6 30.3 12.5 18.1 14.7 Most-Used Personal Computer Type of PC Desk-top Model......................................................... 58.6 22.9 9.8 14.1 11.9 Laptop Model............................................................. 16.9 7.4 2.7 4.0 2.9 Hours Turned on Per Week Less than 2 Hours..................................................... 13.6 5.7 1.8 2.9 3.2 2 to 15 Hours............................................................. 29.1 11.9 5.1 6.5 5.7 16 to 40 Hours........................................................... 13.5 5.5 2.5 3.3 2.2 41 to 167 Hours.........................................................

424

Total........................................................................  

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

7.1 7.1 19.0 22.7 22.3 Do Not Have Space Heating Equipment............... 1.2 0.7 Q 0.2 Q Have Main Space Heating Equipment.................. 109.8 46.3 18.9 22.5 22.1 Use Main Space Heating Equipment.................... 109.1 45.6 18.8 22.5 22.1 Have Equipment But Do Not Use It...................... 0.8 0.7 Q N N Main Heating Fuel and Equipment Natural Gas.......................................................... 58.2 27.0 11.9 14.9 4.3 Central Warm-Air Furnace................................ 44.7 19.8 8.6 12.8 3.6 For One Housing Unit................................... 42.9 18.8 8.3 12.3 3.5 For Two Housing Units................................. 1.8 1.0 0.3 0.4 Q Steam or Hot Water System............................. 8.2 4.4 2.1 1.4 0.3 For One Housing Unit................................... 5.1 2.1 1.6 1.0

425

Total........................................................................  

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

15.1 15.1 5.5 Do Not Have Space Heating Equipment............... 1.2 Q Q Q Have Main Space Heating Equipment.................. 109.8 20.5 15.1 5.4 Use Main Space Heating Equipment.................... 109.1 20.5 15.1 5.4 Have Equipment But Do Not Use It...................... 0.8 N N N Main Heating Fuel and Equipment Natural Gas.......................................................... 58.2 11.4 9.1 2.3 Central Warm-Air Furnace................................ 44.7 6.1 5.3 0.8 For One Housing Unit................................... 42.9 5.6 4.9 0.7 For Two Housing Units................................. 1.8 0.5 0.4 Q Steam or Hot Water System............................. 8.2 4.9 3.6 1.3 For One Housing Unit................................... 5.1 3.2 2.2 1.0 For Two Housing Units.................................

426

Total.................................................................  

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

49.2 49.2 15.1 15.6 11.1 7.0 5.2 8.0 Have Cooling Equipment............................... 93.3 31.3 15.1 15.6 11.1 7.0 5.2 8.0 Use Cooling Equipment................................ 91.4 30.4 14.6 15.4 11.1 6.9 5.2 7.9 Have Equipment But Do Not Use it............... 1.9 1.0 0.5 Q Q Q Q Q Do Not Have Cooling Equipment................... 17.8 17.8 N N N N N N Air-Conditioning Equipment 1, 2 Central System............................................. 65.9 3.9 15.1 15.6 11.1 7.0 5.2 8.0 Without a Heat Pump................................ 53.5 3.5 12.9 12.7 8.6 5.5 4.2 6.2 With a Heat Pump..................................... 12.3 0.4 2.2 2.9 2.5 1.5 1.0 1.8 Window/Wall Units........................................ 28.9 27.5 0.5 Q 0.3 Q Q Q 1 Unit......................................................... 14.5 13.5 0.3 Q Q Q N Q 2 Units.......................................................

427

Total........................................................................  

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

7.1 7.1 7.0 8.0 12.1 Do Not Have Space Heating Equipment............... 1.2 Q Q Q 0.2 Have Main Space Heating Equipment.................. 109.8 7.1 6.8 7.9 11.9 Use Main Space Heating Equipment.................... 109.1 7.1 6.6 7.9 11.4 Have Equipment But Do Not Use It...................... 0.8 N Q N 0.5 Main Heating Fuel and Equipment Natural Gas.......................................................... 58.2 3.8 0.4 3.8 8.4 Central Warm-Air Furnace................................ 44.7 1.8 Q 3.1 6.0 For One Housing Unit................................... 42.9 1.5 Q 3.1 6.0 For Two Housing Units................................. 1.8 Q N Q Q Steam or Hot Water System............................. 8.2 1.9 Q Q 0.2 For One Housing Unit................................... 5.1 0.8 Q N Q For Two Housing Units.................................

428

Total........................................................................  

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

5.6 5.6 17.7 7.9 Do Not Have Space Heating Equipment............... 1.2 Q Q N Have Main Space Heating Equipment.................. 109.8 25.6 17.7 7.9 Use Main Space Heating Equipment.................... 109.1 25.6 17.7 7.9 Have Equipment But Do Not Use It...................... 0.8 N N N Main Heating Fuel and Equipment Natural Gas.......................................................... 58.2 18.4 13.1 5.3 Central Warm-Air Furnace................................ 44.7 16.2 11.6 4.7 For One Housing Unit................................... 42.9 15.5 11.0 4.5 For Two Housing Units................................. 1.8 0.7 0.6 Q Steam or Hot Water System............................. 8.2 1.6 1.2 0.4 For One Housing Unit................................... 5.1 1.1 0.9 Q For Two Housing Units.................................

429

Total...........................................................................  

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

4.2 4.2 7.6 16.6 Do Not Have Cooling Equipment............................. 17.8 10.3 3.1 7.3 Have Cooling Equipment.......................................... 93.3 13.9 4.5 9.4 Use Cooling Equipment........................................... 91.4 12.9 4.3 8.5 Have Equipment But Do Not Use it.......................... 1.9 1.0 Q 0.8 Air-Conditioning Equipment 1, 2 Central System........................................................ 65.9 10.5 3.9 6.5 Without a Heat Pump........................................... 53.5 8.7 3.2 5.5 With a Heat Pump............................................... 12.3 1.7 0.7 1.0 Window/Wall Units.................................................. 28.9 3.6 0.6 3.0 1 Unit................................................................... 14.5 2.9 0.5 2.4 2 Units.................................................................

430

Total...........................................................  

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

Q Q Million U.S. Housing Units Renter- Occupied Housing Units (millions) Type of Renter-Occupied Housing Unit U.S. Housing Units (millions Single-Family Units Apartments in Buildings With-- Living Space Characteristics Detached Attached Table HC4.2 Living Space Characteristics by Renter-Occupied Housing Units, 2005 2 to 4 Units 5 or More Units Mobile Homes Energy Information Administration 2005 Residential Energy Consumption Survey: Preliminary Housing Characteristics Tables Million U.S. Housing Units Renter- Occupied Housing Units (millions) Type of Renter-Occupied Housing Unit U.S. Housing Units (millions Single-Family Units Apartments in Buildings With-- Living Space Characteristics Detached Attached Table HC4.2 Living Space Characteristics by Renter-Occupied Housing Units, 2005

431

Total....................................................................................  

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

Personal Computers Personal Computers Do Not Use a Personal Computer.................................. 35.5 14.2 7.2 2.8 4.2 Use a Personal Computer.............................................. 75.6 26.6 14.5 4.1 7.9 Most-Used Personal Computer Type of PC Desk-top Model......................................................... 58.6 20.5 11.0 3.4 6.1 Laptop Model............................................................. 16.9 6.1 3.5 0.7 1.9 Hours Turned on Per Week Less than 2 Hours..................................................... 13.6 5.0 2.6 1.0 1.3 2 to 15 Hours............................................................. 29.1 10.3 5.9 1.6 2.9 16 to 40 Hours........................................................... 13.5 4.1 2.3 0.6 1.2 41 to 167 Hours.........................................................

432

Total..............................................................  

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

,171 ,171 1,618 1,031 845 630 401 Census Region and Division Northeast................................................... 20.6 2,334 1,664 562 911 649 220 New England.......................................... 5.5 2,472 1,680 265 1,057 719 113 Middle Atlantic........................................ 15.1 2,284 1,658 670 864 627 254 Midwest...................................................... 25.6 2,421 1,927 1,360 981 781 551 East North Central.................................. 17.7 2,483 1,926 1,269 999 775 510 West North Central................................. 7.9 2,281 1,930 1,566 940 796 646 South.......................................................... 40.7 2,161 1,551 1,295 856 615 513 South Atlantic......................................... 21.7 2,243 1,607 1,359 896 642 543 East South Central.................................

433

Total.........................................................................................  

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

..... ..... 111.1 7.1 7.0 8.0 12.1 Personal Computers Do Not Use a Personal Computer...................................... 35.5 3.0 2.0 2.7 3.1 Use a Personal Computer.................................................. 75.6 4.2 5.0 5.3 9.0 Most-Used Personal Computer Type of PC Desk-top Model............................................................. 58.6 3.2 3.9 4.0 6.7 Laptop Model................................................................. 16.9 1.0 1.1 1.3 2.4 Hours Turned on Per Week Less than 2 Hours......................................................... 13.6 0.7 0.9 0.9 1.4 2 to 15 Hours................................................................. 29.1 1.7 2.1 1.9 3.4 16 to 40 Hours............................................................... 13.5 0.9 0.9 0.9 1.8 41 to 167 Hours.............................................................

434

Total.............................................................................  

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

Cooking Appliances Cooking Appliances Frequency of Hot Meals Cooked 3 or More Times A Day......................................... 8.2 2.6 0.7 1.9 2 Times A Day...................................................... 24.6 6.6 2.0 4.6 Once a Day........................................................... 42.3 8.8 2.9 5.8 A Few Times Each Week...................................... 27.2 4.7 1.5 3.1 About Once a Week.............................................. 3.9 0.7 Q 0.6 Less Than Once a Week....................................... 4.1 0.7 0.3 0.4 No Hot Meals Cooked........................................... 0.9 0.2 Q Q Conventional Oven Use an Oven......................................................... 109.6 23.7 7.5 16.2 More Than Once a Day..................................... 8.9 1.7 0.4 1.3 Once a Day.......................................................

435

Total..............................................................................  

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

0.7 0.7 21.7 6.9 12.1 Do Not Have Cooling Equipment................................ 17.8 1.4 0.8 0.2 0.3 Have Cooling Equipment............................................. 93.3 39.3 20.9 6.7 11.8 Use Cooling Equipment.............................................. 91.4 38.9 20.7 6.6 11.7 Have Equipment But Do Not Use it............................. 1.9 0.5 Q Q Q Air-Conditioning Equipment 1, 2 Central System........................................................... 65.9 32.1 17.6 5.2 9.3 Without a Heat Pump.............................................. 53.5 23.2 10.9 3.8 8.4 With a Heat Pump................................................... 12.3 9.0 6.7 1.4 0.9 Window/Wall Units..................................................... 28.9 8.0 3.4 1.7 2.9 1 Unit......................................................................

436

Total....................................................................  

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

14.7 14.7 7.4 12.5 12.5 18.9 18.6 17.3 9.2 Household Size 1 Person.......................................................... 30.0 4.6 2.5 3.7 3.2 5.4 5.5 3.7 1.6 2 Persons......................................................... 34.8 4.3 1.9 4.4 4.1 5.9 5.3 5.5 3.4 3 Persons......................................................... 18.4 2.5 1.3 1.7 1.9 2.9 3.5 2.8 1.6 4 Persons......................................................... 15.9 1.9 0.8 1.5 1.6 3.0 2.5 3.1 1.4 5 Persons......................................................... 7.9 0.8 0.4 1.0 1.1 1.2 1.1 1.5 0.9 6 or More Persons........................................... 4.1 0.5 0.3 0.3 0.6 0.5 0.7 0.8 0.4 2005 Annual Household Income Category Less than $9,999............................................. 9.9 1.9 1.1 1.3 0.9 1.7 1.3 1.1 0.5 $10,000 to $14,999..........................................

437

Total....................................................................................  

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

25.6 25.6 40.7 24.2 Personal Computers Do Not Use a Personal Computer.................................. 35.5 6.9 8.1 14.2 6.4 Use a Personal Computer.............................................. 75.6 13.7 17.5 26.6 17.8 Most-Used Personal Computer Type of PC Desk-top Model......................................................... 58.6 10.4 14.1 20.5 13.7 Laptop Model............................................................. 16.9 3.3 3.4 6.1 4.1 Hours Turned on Per Week Less than 2 Hours..................................................... 13.6 2.4 3.4 5.0 2.9 2 to 15 Hours............................................................. 29.1 5.2 7.0 10.3 6.6 16 to 40 Hours........................................................... 13.5 3.1 2.8 4.1 3.4 41 to 167 Hours.........................................................

438

Total....................................................................................  

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

4.2 4.2 7.6 16.6 Personal Computers Do Not Use a Personal Computer.................................. 35.5 6.4 2.2 4.2 Use a Personal Computer.............................................. 75.6 17.8 5.3 12.5 Most-Used Personal Computer Type of PC Desk-top Model......................................................... 58.6 13.7 4.2 9.5 Laptop Model............................................................. 16.9 4.1 1.1 3.0 Hours Turned on Per Week Less than 2 Hours..................................................... 13.6 2.9 0.9 2.0 2 to 15 Hours............................................................. 29.1 6.6 2.0 4.6 16 to 40 Hours........................................................... 13.5 3.4 0.9 2.5 41 to 167 Hours......................................................... 6.3

439

Total..................................................................  

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

33.0 33.0 8.0 3.4 5.9 14.4 1.2 Do Not Have Cooling Equipment..................... 17.8 6.5 1.6 0.9 1.3 2.4 0.2 Have Cooling Equipment................................. 93.3 26.5 6.5 2.5 4.6 12.0 1.0 Use Cooling Equipment.................................. 91.4 25.7 6.3 2.5 4.4 11.7 0.8 Have Equipment But Do Not Use it................. 1.9 0.8 Q Q 0.2 0.3 Q Type of Air-Conditioning Equipment 1, 2 Central System.............................................. 65.9 14.1 3.6 1.5 2.1 6.4 0.6 Without a Heat Pump.................................. 53.5 12.4 3.1 1.3 1.8 5.7 0.6 With a Heat Pump....................................... 12.3 1.7 0.6 Q 0.3 0.6 Q Window/Wall Units....................................... 28.9 12.4 2.9 1.0 2.5 5.6 0.4 1 Unit.......................................................... 14.5 7.3 1.2 0.5 1.4 3.9 0.2 2 Units.........................................................

440

Total....................................................................................  

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

Cooking Appliances Cooking Appliances Frequency of Hot Meals Cooked 3 or More Times A Day................................................. 8.2 3.7 1.6 1.4 1.5 2 Times A Day.............................................................. 24.6 10.8 4.1 4.3 5.5 Once a Day................................................................... 42.3 17.0 7.2 8.7 9.3 A Few Times Each Week............................................. 27.2 11.4 4.7 6.4 4.8 About Once a Week..................................................... 3.9 1.7 0.6 0.9 0.8 Less Than Once a Week.............................................. 4.1 2.2 0.6 0.8 0.5 No Hot Meals Cooked................................................... 0.9 0.4 Q Q Q Conventional Oven Use an Oven................................................................. 109.6 46.2 18.8

Note: This page contains sample records for the topic "bureau total stocks" 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

Total...................................................................  

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

Single-Family Units Single-Family Units Detached Type of Housing Unit Table HC2.7 Air Conditioning Usage Indicators by Type of Housing Unit, 2005 Million U.S. Housing Units Air Conditioning Usage Indicators Attached 2 to 4 Units 5 or More Units Mobile Homes Apartments in Buildings With-- Housing Units (millions) Energy Information Administration 2005 Residential Energy Consumption Survey: Preliminary Housing Characteristics Tables Single-Family Units Detached Type of Housing Unit Table HC2.7 Air Conditioning Usage Indicators by Type of Housing Unit, 2005 Million U.S. Housing Units Air Conditioning Usage Indicators Attached 2 to 4 Units 5 or More Units Mobile Homes Apartments in Buildings With-- Housing Units (millions) At Home Behavior Home Used for Business

442

Total.............................................................................  

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

Do Not Have Cooling Equipment............................... Do Not Have Cooling Equipment............................... 17.8 2.1 1.8 0.3 Have Cooling Equipment............................................ 93.3 23.5 16.0 7.5 Use Cooling Equipment............................................. 91.4 23.4 15.9 7.5 Have Equipment But Do Not Use it............................ 1.9 Q Q Q Type of Air-Conditioning Equipment 1, 2 Central System........................................................ 65.9 17.3 11.3 6.0 Without a Heat Pump............................................. 53.5 16.2 10.6 5.6 With a Heat Pump................................................. 12.3 1.1 0.8 0.4 Window/Wall Units.................................................. 28.9 6.6 4.9 1.7 1 Unit..................................................................... 14.5 4.1 2.9 1.2 2 Units...................................................................

443

Total..............................................................................  

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

20.6 20.6 25.6 40.7 24.2 Do Not Have Cooling Equipment................................ 17.8 4.0 2.1 1.4 10.3 Have Cooling Equipment............................................. 93.3 16.5 23.5 39.3 13.9 Use Cooling Equipment.............................................. 91.4 16.3 23.4 38.9 12.9 Have Equipment But Do Not Use it............................. 1.9 0.3 Q 0.5 1.0 Air-Conditioning Equipment 1, 2 Central System........................................................... 65.9 6.0 17.3 32.1 10.5 Without a Heat Pump.............................................. 53.5 5.5 16.2 23.2 8.7 With a Heat Pump................................................... 12.3 0.5 1.1 9.0 1.7 Window/Wall Units..................................................... 28.9 10.7 6.6 8.0 3.6 1 Unit......................................................................

444

Total..........................................................  

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

60,000 to 79,999 80,000 or More Energy Information Administration 2005 Residential Energy Consumption Survey: Preliminary Housing Characteristics Tables Million U.S. Housing...

445

Total..........................................................  

Annual Energy Outlook 2012 (EIA)

Usage Indicators by U.S. Census Region, 2005 Million U.S. Housing Units Air Conditioning Usage Indicators U.S. Census Region Northeast Midwest South West Energy Information...

446

Total..........................................................  

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

Homes Million U.S. Housing Units Energy Information Administration 2005 Residential Energy Consumption Survey: Preliminary Housing Characteristics Tables Table HC3.7...

447

Total..........................................................  

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

Homes Million U.S. Housing Units Energy Information Administration 2005 Residential Energy Consumption Survey: Preliminary Housing Characteristics Tables Table HC4.7...

448

Total..........................................................  

Annual Energy Outlook 2012 (EIA)

Self-Reported) City Town Suburbs Rural Energy Information Administration 2005 Residential Energy Consumption Survey: Preliminary Housing Characteristics Tables Table HC8.7...

449

Total..........................................................  

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

East North Central West North Central Energy Information Administration: 2005 Residential Energy Consumption Survey: Preliminary Housing Characteristics Tables Million U.S. Housing...

450

Total..........................................................  

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

U.S. Housing Units Home Electronics Usage Indicators Table HC10.12 Home Electronics Usage Indicators by U.S. Census Region, 2005 Housing Units (millions) Energy Information...

451

Total..........................................................  

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

U.S. Housing Units Home Electronics Usage Indicators Table HC8.12 Home Electronics Usage Indicators by UrbanRural Location, 2005 Housing Units (millions) Energy Information...

452

Total..........................................................  

Gasoline and Diesel Fuel Update (EIA)

7.0 7.7 6.6 Have Equipment But Do Not Use it... 1.9 Q N Q 0.6 Air-Conditioning Equipment 1, 2 Central System......

453

Total..........................................................  

Annual Energy Outlook 2012 (EIA)

Air-Conditioning Equipment 1, 2 Central System... 65.9 47.5 4.0 2.8 7.9 3.7 Without a Heat Pump... 53.5...

454

Total..........................................................  

Gasoline and Diesel Fuel Update (EIA)

91.4 23.4 15.9 7.5 Have Equipment But Do Not Use it... 1.9 Q Q Q Air-Conditioning Equipment 1, 2 Central System......

455

Total..........................................................  

Gasoline and Diesel Fuel Update (EIA)

18.0 Have Equipment But Do Not Use it... 1.9 0.9 0.3 0.3 0.4 Air-Conditioning Equipment 1, 2 Central System......

456

Total..........................................................  

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

m... 3.2 0.2 Q 0.1 Telephone and Office Equipment CellMobile Telephone... 84.8 14.9 11.1 3.9 Cordless...

457

Total..........................................................  

Gasoline and Diesel Fuel Update (EIA)

m... 3.2 0.9 0.7 Q Telephone and Office Equipment CellMobile Telephone... 84.8 19.3 13.2 6.1 Cordless...

458

Total..........................................................  

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

Q 0.5 Q Q Monitor is Turned Off... 0.5 N Q Q Q Q N Q Use of Internet Have Access to Internet Yes... 66.9...

459

Total..........................................................  

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

Four Most Populated States New York Florida Texas California Million U.S. Housing Units Home Electronics Usage Indicators Table HC15.12 Home Electronics Usage Indicators by Four...

460

Total  

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

Normal ButaneButylene Other Liquids Oxygenates Fuel Ethanol MTBE Other Oxygenates Biomass-based Diesel Other Renewable Diesel Fuel Other Renewable Fuels Gasoline Blending...

Note: This page contains sample records for the topic "bureau total stocks" 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

Total  

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

Normal ButaneButylene Other Liquids Oxygenates Fuel Ethanol MTBE Other Oxygenates Biomass-based Diesel Fuel Other Renewable Diesel Fuel Other Renewable Fuels Gasoline Blending...

462

Total..........................................................  

Annual Energy Outlook 2012 (EIA)

111.1 7.1 7.0 8.0 12.1 Personal Computers Do Not Use a Personal Computer ... 35.5 3.0 2.0 2.7 3.1 Use a Personal Computer......

463

Total..........................................................  

Annual Energy Outlook 2012 (EIA)

... 25.8 2.8 5.8 5.5 3.8 7.9 1.4 5.1 Use of Most-Used Ceiling Fan Used All Summer... 18.7 4.2 4.9 4.1 2.1 3.4 2.4 6.3...

464

Total..........................................................  

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

Heating Characteristics Energy Information Administration 2005 Residential Energy Consumption Survey: Preliminary Housing Characteristics Tables Table HC5.4 Space Heating...

465

Total..........................................................  

Annual Energy Outlook 2012 (EIA)

at All... 2.9 1.1 0.5 Q 0.4 Battery-Operated AppliancesTools Use Battery-Operated AppliancesTools......

466

Total..........................................................  

Annual Energy Outlook 2012 (EIA)

3.3 Not Used at All... 2.9 0.7 0.5 Q Battery-Operated AppliancesTools Use Battery-Operated AppliancesTools... 54.9...

467

Total..........................................................  

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

3.6 Not Used at All... 2.9 0.8 0.3 0.4 Battery-Operated AppliancesTools Use Battery-Operated AppliancesTools... 54.9...

468

Total..........................................................  

Gasoline and Diesel Fuel Update (EIA)

1.1 Not Used at All... 2.9 0.4 Q 0.2 Battery-Operated AppliancesTools Use Battery-Operated AppliancesTools... 54.9...

469

Total..........................................................  

Gasoline and Diesel Fuel Update (EIA)

at All... 2.9 1.4 0.4 0.4 0.7 Battery-Operated AppliancesTools Use Battery-Operated AppliancesTools......

470

Total..........................................................  

Gasoline and Diesel Fuel Update (EIA)

5 or More Units Mobile Homes Apartments in Buildings With-- Housing Units (millions) At Home Behavior Home Used for Business Yes......

471

Total..........................................................  

Annual Energy Outlook 2012 (EIA)

... 34.3 1.2 0.9 2.2 2.9 5.4 7.0 8.2 6.6 Adequacy of Insulation Well Insulated... 29.5 1.5 0.9 2.3 2.7 4.1...

472

Total.............................................................................  

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

Cooking Appliances Cooking Appliances Frequency of Hot Meals Cooked 3 or More Times A Day......................................... 8.2 1.2 1.0 0.2 2 Times A Day...................................................... 24.6 4.0 2.7 1.2 Once a Day........................................................... 42.3 7.9 5.4 2.5 A Few Times Each Week...................................... 27.2 6.0 4.8 1.2 About Once a Week.............................................. 3.9 0.6 0.5 Q Less Than Once a Week....................................... 4.1 0.6 0.4 Q No Hot Meals Cooked........................................... 0.9 0.3 Q Q Conventional Oven Use an Oven......................................................... 109.6 20.3 14.9 5.4 More Than Once a Day..................................... 8.9 1.4 1.2 0.3 Once a Day.......................................................

473

Total...............................................................  

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

47.1 47.1 19.0 22.7 22.3 Personal Computers Do Not Use a Personal Computer ........... 35.5 16.9 6.5 4.6 7.6 Use a Personal Computer......................... 75.6 30.3 12.5 18.1 14.7 Number of Desktop PCs 1.......................................................... 50.3 21.1 8.3 10.7 10.1 2.......................................................... 16.2 6.2 2.8 4.1 3.0 3 or More............................................. 9.0 2.9 1.4 3.2 1.6 Number of Laptop PCs 1.......................................................... 22.5 9.1 3.6 6.0 3.8 2.......................................................... 4.0 1.5 0.6 1.3 0.7 3 or More............................................. 0.7 0.3 Q Q Q Type of Monitor Used on Most-Used PC Desk-top CRT (Standard Monitor)................... 45.0 17.7 7.5 10.2 9.6 Flat-panel LCD.................................

474

Total........................................................  

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

111.1 24.5 1,090 902 341 872 780 441 Census Region and Division Northeast............................................. 20.6 6.7 1,247 1,032 Q 811 788 147 New England.................................... 5.5 1.9 1,365 1,127 Q 814 748 107 Middle Atlantic.................................. 15.1 4.8 1,182 978 Q 810 800 159 Midwest................................................ 25.6 4.6 1,349 1,133 506 895 810 346 East North Central............................ 17.7 3.2 1,483 1,239 560 968 842 351 West North Central........................... 7.9 1.4 913 789 329 751 745 337 South................................................... 40.7 7.8 881 752 572 942 873 797 South Atlantic................................... 21.7 4.9 875 707 522 1,035 934 926 East South Central........................... 6.9 0.7 Q Q Q 852 826 432 West South Central..........................

475

Total...............................................................  

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

0.7 0.7 21.7 6.9 12.1 Personal Computers Do Not Use a Personal Computer ........... 35.5 14.2 7.2 2.8 4.2 Use a Personal Computer......................... 75.6 26.6 14.5 4.1 7.9 Number of Desktop PCs 1.......................................................... 50.3 18.2 10.0 2.9 5.3 2.......................................................... 16.2 5.5 3.0 0.7 1.8 3 or More............................................. 9.0 2.9 1.5 0.5 0.8 Number of Laptop PCs 1.......................................................... 22.5 7.7 4.3 1.1 2.4 2.......................................................... 4.0 1.5 0.9 Q 0.4 3 or More............................................. 0.7 Q Q Q Q Type of Monitor Used on Most-Used PC Desk-top CRT (Standard Monitor)................... 45.0 15.4 7.9 2.8 4.8 Flat-panel LCD.................................

476

Total.................................................................  

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

26.7 26.7 28.8 20.6 13.1 22.0 16.6 38.6 Cooking Appliances Frequency of Hot Meals Cooked 3 or More Times A Day.............................. 8.2 2.9 2.5 1.3 0.5 1.0 2.4 4.6 2 Times A Day........................................... 24.6 6.5 7.0 4.3 3.2 3.6 4.8 10.3 Once a Day................................................ 42.3 8.8 9.8 8.7 5.1 10.0 5.0 12.9 A Few Times Each Week........................... 27.2 5.6 7.2 4.7 3.3 6.3 3.2 7.5 About Once a Week................................... 3.9 1.1 1.1 0.6 0.5 0.6 0.4 1.4 Less Than Once a Week............................ 4.1 1.3 1.0 0.9 0.5 0.4 0.7 1.4 No Hot Meals Cooked................................ 0.9 0.5 Q Q Q Q 0.2 0.5 Conventional Oven Use an Oven.............................................. 109.6 26.1 28.5 20.2 12.9 21.8 16.3 37.8 More Than Once a Day..........................

477

Total..................................................................  

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

. . 111.1 14.7 7.4 12.5 12.5 18.9 18.6 17.3 9.2 Do Not Have Cooling Equipment..................... 17.8 3.9 1.8 2.2 2.1 3.1 2.6 1.7 0.4 Have Cooling Equipment................................. 93.3 10.8 5.6 10.3 10.4 15.8 16.0 15.6 8.8 Use Cooling Equipment.................................. 91.4 10.6 5.5 10.3 10.3 15.3 15.7 15.3 8.6 Have Equipment But Do Not Use it................. 1.9 Q Q Q Q 0.6 0.4 0.3 Q Type of Air-Conditioning Equipment 1, 2 Central System.............................................. 65.9 3.7 2.6 6.1 6.8 11.2 13.2 13.9 8.2 Without a Heat Pump.................................. 53.5 3.6 2.3 5.5 5.8 9.5 10.1 10.3 6.4 With a Heat Pump....................................... 12.3 Q 0.3 0.6 1.0 1.7 3.1 3.6 1.7 Window/Wall Units....................................... 28.9 7.3 3.2 4.5 3.7 4.8 3.0 1.9 0.7 1 Unit..........................................................

478

Total..............................................  

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

111.1 86.6 2,720 1,970 1,310 1,941 1,475 821 1,059 944 554 Census Region and Division Northeast.................................... 20.6 13.9 3,224 2,173 836 2,219 1,619 583 903 830 Q New England.......................... 5.5 3.6 3,365 2,154 313 2,634 1,826 Q 951 940 Q Middle Atlantic........................ 15.1 10.3 3,167 2,181 1,049 2,188 1,603 582 Q Q Q Midwest...................................... 25.6 21.0 2,823 2,239 1,624 2,356 1,669 1,336 1,081 961 778 East North Central.................. 17.7 14.5 2,864 2,217 1,490 2,514 1,715 1,408 907 839 553 West North Central................. 7.9 6.4 2,729 2,289 1,924 1,806 1,510 1,085 1,299 1,113 1,059 South.......................................... 40.7 33.0 2,707 1,849 1,563 1,605 1,350 954 1,064 970 685 South Atlantic......................... 21.7 16.8 2,945 1,996 1,695 1,573 1,359 909 1,044 955

479

Total.................................................................................  

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

... ... 111.1 20.6 15.1 5.5 Do Not Have Cooling Equipment................................. 17.8 4.0 2.4 1.7 Have Cooling Equipment............................................. 93.3 16.5 12.8 3.8 Use Cooling Equipment............................................... 91.4 16.3 12.6 3.7 Have Equipment But Do Not Use it............................. 1.9 0.3 Q Q Type of Air-Conditioning Equipment 1, 2 Central System.......................................................... 65.9 6.0 5.2 0.8 Without a Heat Pump.............................................. 53.5 5.5 4.8 0.7 With a Heat Pump................................................... 12.3 0.5 0.4 Q Window/Wall Units.................................................... 28.9 10.7 7.6 3.1 1 Unit.......................................................................

480

Total.............................................................................  

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

Do Not Have Cooling Equipment............................... Do Not Have Cooling Equipment............................... 17.8 8.5 2.7 2.6 4.0 Have Cooling Equipment............................................ 93.3 38.6 16.2 20.1 18.4 Use Cooling Equipment............................................. 91.4 37.8 15.9 19.8 18.0 Have Equipment But Do Not Use it............................ 1.9 0.9 0.3 0.3 0.4 Type of Air-Conditioning Equipment 1, 2 Central System........................................................ 65.9 25.8 10.9 16.6 12.5 Without a Heat Pump............................................. 53.5 21.2 9.7 13.7 8.9 With a Heat Pump................................................. 12.3 4.6 1.2 2.8 3.6 Window/Wall Units.................................................. 28.9 13.4 5.6 3.9 6.1 1 Unit.....................................................................

Note: This page contains sample records for the topic "bureau total stocks" 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

Total.............................................................................  

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

Do Not Have Cooling Equipment............................... Do Not Have Cooling Equipment............................... 17.8 10.3 3.1 7.3 Have Cooling Equipment............................................ 93.3 13.9 4.5 9.4 Use Cooling Equipment............................................. 91.4 12.9 4.3 8.5 Have Equipment But Do Not Use it............................ 1.9 1.0 Q 0.8 Type of Air-Conditioning Equipment 1, 2 Central System........................................................ 65.9 10.5 3.9 6.5 Without a Heat Pump............................................. 53.5 8.7 3.2 5.5 With a Heat Pump................................................. 12.3 1.7 0.7 1.0 Window/Wall Units.................................................. 28.9 3.6 0.6 3.0 1 Unit..................................................................... 14.5 2.9 0.5 2.4 2 Units...................................................................

482

Total..................................................................  

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

78.1 78.1 64.1 4.2 1.8 2.3 5.7 Do Not Have Cooling Equipment..................... 17.8 11.3 9.3 0.6 Q 0.4 0.9 Have Cooling Equipment................................. 93.3 66.8 54.7 3.6 1.7 1.9 4.8 Use Cooling Equipment.................................. 91.4 65.8 54.0 3.6 1.7 1.9 4.7 Have Equipment But Do Not Use it................. 1.9 1.1 0.8 Q N Q Q Type of Air-Conditioning Equipment 1, 2 Central System.............................................. 65.9 51.7 43.9 2.5 0.7 1.6 3.1 Without a Heat Pump.................................. 53.5 41.1 34.8 2.1 0.5 1.2 2.6 With a Heat Pump....................................... 12.3 10.6 9.1 0.4 Q 0.3 0.6 Window/Wall Units....................................... 28.9 16.5 12.0 1.3 1.0 0.4 1.7 1 Unit.......................................................... 14.5 7.2 5.4 0.5 0.2 Q 0.9 2 Units.........................................................

483

Total.............................................................................  

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

Do Not Have Cooling Equipment............................... Do Not Have Cooling Equipment............................... 17.8 1.4 0.8 0.2 0.3 Have Cooling Equipment............................................ 93.3 39.3 20.9 6.7 11.8 Use Cooling Equipment............................................. 91.4 38.9 20.7 6.6 11.7 Have Equipment But Do Not Use it............................ 1.9 0.5 Q Q Q Type of Air-Conditioning Equipment 1, 2 Central System........................................................ 65.9 32.1 17.6 5.2 9.3 Without a Heat Pump............................................. 53.5 23.2 10.9 3.8 8.4 With a Heat Pump................................................. 12.3 9.0 6.7 1.4 0.9 Window/Wall Units.................................................. 28.9 8.0 3.4 1.7 2.9 1 Unit.....................................................................

484

Total........................................................................  

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

4.2 4.2 7.6 16.6 Do Not Have Space Heating Equipment............... 1.2 0.7 Q 0.7 Have Main Space Heating Equipment.................. 109.8 23.4 7.5 16.0 Use Main Space Heating Equipment.................... 109.1 22.9 7.4 15.4 Have Equipment But Do Not Use It...................... 0.8 0.6 Q 0.5 Main Heating Fuel and Equipment Natural Gas.......................................................... 58.2 14.7 4.6 10.1 Central Warm-Air Furnace................................ 44.7 11.4 4.0 7.4 For One Housing Unit................................... 42.9 11.1 3.8 7.3 For Two Housing Units................................. 1.8 0.3 Q Q Steam or Hot Water System............................. 8.2 0.6 0.3 0.3 For One Housing Unit................................... 5.1 0.4 0.2 0.1 For Two Housing Units.................................

485

Total..............................................................  

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

Do Not Have Cooling Equipment................ Do Not Have Cooling Equipment................ 17.8 5.3 4.7 2.8 1.9 3.1 3.6 7.5 Have Cooling Equipment............................. 93.3 21.5 24.1 17.8 11.2 18.8 13.0 31.1 Use Cooling Equipment.............................. 91.4 21.0 23.5 17.4 11.0 18.6 12.6 30.3 Have Equipment But Do Not Use it............. 1.9 0.5 0.6 0.4 Q Q 0.5 0.8 Type of Air-Conditioning Equipment 1, 2 Central System.......................................... 65.9 11.0 16.5 13.5 8.7 16.1 6.4 17.2 Without a Heat Pump.............................. 53.5 9.4 13.6 10.7 7.1 12.7 5.4 14.5 With a Heat Pump................................... 12.3 1.7 2.8 2.8 1.6 3.4 1.0 2.7 Window/Wall Units................................... 28.9 10.5 8.1 4.5 2.7 3.1 6.7 14.1 1 Unit...................................................... 14.5 5.8 4.3 2.0 1.1 1.3 3.4 7.4 2 Units....................................................

486

A bottom-up engineering estimate of the aggregate heating andcooling loads of the entire U.S. building stock  

SciTech Connect

A recently completed project for the U.S. Department of Energy's (DOE) Office of Building Equipment combined DOE-2 results for a large set of prototypical commercial and residential buildings with data from the Energy Information Administration (EIA) residential and commercial energy consumption surveys (RECS, CBECS) to estimate the total heating and cooling loads in U.S. buildings attributable to different shell components such as windows, roofs, walls, etc., internal processes, and space-conditioning systems. This information is useful for estimating the national conservation potentials for DOE's research and market transformation activities in building energy efficiency. The prototypical building descriptions and DOE-2 input files were developed from 1986 to 1992 to provide benchmark hourly building loads for the Gas Research Institute (GRI) and include 112 single-family, 66 multi-family, and 481 commercial building prototypes. The DOE study consisted of two distinct tasks : (1) perform DOE-2 simulations for the prototypical buildings and develop methods to extract the heating and cooling loads attributable to the different building components; and (2) estimate the number of buildings or floor area represented by each prototypical building based on EIA survey information. These building stock data were then multiplied by the simulated component loads to derive aggregated totals by region, vintage, and building type. The heating and cooling energy consumption of the national building stock estimated by this bottom-up engineering approach was found to agree reasonably well with estimates from other sources, although significant differences were found for certain end-uses. The main added value from this study, however, is the insight it provides about the contributing factors behind this energy consumption, and what energy savings can be expected from efficiency improvements for different building components by region, vintage, and building type.

Huang, Yu Joe; Brodrick, Jim

2000-08-01T23:59:59.000Z

487

Analysis of Realized Volatility in Two Trading Sessions of the Japanese Stock Market  

E-Print Network (OSTI)

We analyze realized volatilities constructed using high-frequency stock data on the Tokyo Stock Exchange. In order to avoid non-trading hours issue in volatility calculations we define two realized volatilities calculated separately in the two trading sessions of the Tokyo Stock Exchange, i.e. morning and afternoon sessions. After calculating the realized volatilities at various sampling frequencies we evaluate the bias from the microstructure noise as a function of sampling frequency. Taking into account of the bias to realized volatility we examine returns standardized by realized volatilities and confirm that price returns on the Tokyo Stock Exchange are described approximately by Gaussian time series with time-varying volatility, i.e. consistent with a mixture of distributions hypothesis.

Takaishi, Tetsuya; Zheng, Zeyu

2013-01-01T23:59:59.000Z

488

Disaster debris management and recovery of housing stock in San Francisco, CA  

E-Print Network (OSTI)

This thesis investigates the potential effects of a 7.2 magnitude earthquake in San Francisco City, particularly the implications on San Francisco's residential housing stock and impacts on the construction and demolition ...

Saiyed, Zahraa Nazim

2012-01-01T23:59:59.000Z

489

Distillate Stocks Expected to Remain Low - U.S. Energy Information ...  

U.S. Energy Information Administration (EIA)

When EIA’s demand forecast is combined with its outlook for production and net imports, distillate stocks are projected to remain low for the rest of the year.

490

,"U.S. Refinery, Bulk Terminal, and Natural Gas Plant Stocks...  

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

S1","MDGSXUS1","MRESXUS1","MPRSXUS1" "Date","U.S. Finished Motor Gasoline Stocks at Refineries, Bulk Terminals, and Natural Gas Plants (Thousand Barrels)","U.S. Reformulated Motor...

491

GG&A Hoofed Stock Price Year low high Comments 1971 97 ...  

Science Conference Proceedings (OSTI)

Page 1. GG&A Hoofed Stock Price Year low high Comments 1971 97–245 Bad year. 72 245–245 Light trading due to a heavy winter. ...

2013-02-19T23:59:59.000Z

492

International stock market linkages : are overnight returns on the U.S. Market informative?.  

E-Print Network (OSTI)

??Based on the theory of international stock market co-movements, this study shows that a profitable trading strategy can be developed. The U.S. market return is… (more)

An, Byeongung

2012-01-01T23:59:59.000Z

493

U.S. Refinery Grade Butane Stocks at Bulk Terminals (Thousand ...  

U.S. Energy Information Administration (EIA)

U.S. Refinery Grade Butane Stocks at Bulk Terminals (Thousand Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9; ...

494

U.S. Normal Butane-Butylene Stocks at Natural Gas Processing ...  

U.S. Energy Information Administration (EIA)

U.S. Normal Butane-Butylene Stocks at Natural Gas Processing Plants (Thousand Barrels) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec; 1993: ...

495

U.S. Refinery Grade Butane Stocks at Bulk Terminals (Thousand ...  

U.S. Energy Information Administration (EIA)

U.S. Refinery Grade Butane Stocks at Bulk Terminals (Thousand Barrels) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec; 2005: 1,077: 999: 1,362: ...

496

U.S. Ending Stocks of Normal Butane-Butylene (Thousand Barrels)  

U.S. Energy Information Administration (EIA)

U.S. Ending Stocks of Normal Butane-Butylene (Thousand Barrels) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec; 1981: 26,098: 24,979: 24,689: ...

497

Combining artificial neural networks and statistics for stock-market forecasting  

Science Conference Proceedings (OSTI)

We have developed a stock-market forecasting system based on artificial neural networks. The system has been trained with the Standard & Poor 500 composite indexes of past twenty years. Meanwhile, the system produces the forecasts and adjusts ...

Shaun-Inn Wu; Ruey-Pyng Lu

1993-03-01T23:59:59.000Z

498

More than just a school : an exploration in tractable neighborhood building stock  

E-Print Network (OSTI)

Shortages in land and resources are stiffling new construction and forcing the pursuit of alternate means to satisfy society's space needs within the existing building stock. Most existing buildings were not designed for ...

Stevermer, John Alton

1983-01-01T23:59:59.000Z

499

The Puzzle of Asymmetric Effects of Oil: New Results from International Stock Markets ?  

E-Print Network (OSTI)

Previous work has documented that oil price changes have nonlinear effects in the economy and in stock market returns. We show that the nonlinear effects are different depending on whether countries are energy dependent or not. While price soars seem to have a negative effect on the stock markets of oil energy dependent countries, they have a positive effect on the stock markets of oil exporting countries. Stock market returns are negatively affected by oil price volatility in energy dependent countries and positively in oil exporting countries. Moreover, we find bi-directional effects between oil price increases and some oil volatility measures that can be reinforced with volatility feedback. The asymmetric effects found in oil dependent and oil exporting countries seem to fit into the offset mechanism proposed in the literature where oil price shocks interact both with oil price volatility and the economy. The results are also consistent with the finding that oil exporting countries benefit economically from oil price hikes.

unknown authors

2011-01-01T23:59:59.000Z

500

Establishing a New Stock Market for Shareholder Value Oriented Firms in Korea  

E-Print Network (OSTI)

a reform, moreover, may give Korea the incentive and time toConference Program (Seoul, Korea 2002) sponsored by theVALUE*** (BIL. WON) OF * The Korea composite stock price

Choi, Stephen

2004-01-01T23:59:59.000Z