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


1

Dollars  

Gasoline and Diesel Fuel Update (EIA)

0 1 2 3 4 5 6 7 8 9 10 2002 2003 2004 2005 2006 Dollars per Thousand Cubic Feet 0 30 60 90 120 150 180 210 240 Dollars per Thousand Cubic Meters Wellhead Imports City Gate Table 1. Summary Statistics for Natural Gas in the United States, 2002-2006 - Continued Number of Consumers Residential ........................................................ 61,107,254 61,871,450 62,496,134 R 63,616,827 64,385,971 Commercial....................................................... 5,064,384 5,152,177 5,139,949 R 5,198,028 5,274,854 Industrial ........................................................... 205,915 205,514 209,058 R 206,223 199,791 Average Annual Consumption per Consumer (thousand cubic feet) Commercial....................................................... 621 617 609 R 577 537

2

Dollars  

Gasoline and Diesel Fuel Update (EIA)

0 1 2 3 4 5 6 7 8 9 10 2001 2002 2003 2004 2005 Dollars per Thousand Cubic Feet 0 30 60 90 120 150 180 210 240 Dollars per Thousand Cubic Meters Wellhead Imports City Gate Table 1. Summary Statistics for Natural Gas in the United States, 2001-2005 - Continued Number of Consumers Residential ........................................................ 60,286,364 61,107,254 61,871,450 R 62,496,134 63,573,466 Commercial....................................................... 4,996,446 5,064,384 5,152,177 R 5,139,949 5,196,428 Industrial ........................................................... 217,026 205,915 205,514 R 209,058 205,217 Average Annual Consumption per Consumer (thousand cubic feet) Commercial....................................................... 605 621 617 R 609 597

3

Current challenges using models to forecast seawater intrusion: lessons from the Eastern Shore of Virginia, USA  

E-Print Network (OSTI)

Current challenges using models to forecast seawater intrusion: lessons from the Eastern Shore of seawater intrusion from natural and anthropo- genic causes. The characteristics of transition zones between. Computer speed and storage capabilities have increased dramatically in the last few decades, to the point

4

Improving Inventory Control Using Forecasting  

E-Print Network (OSTI)

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

Balandran, Juan

2005-12-16T23:59:59.000Z

5

Wellhead Price Dollars  

Gasoline and Diesel Fuel Update (EIA)

.00 .00 0.50 1.00 1.50 2.00 2.50 3.00 0 20 40 60 80 100 1966 1976 1986 1996 Wellhead Price Dollars per Thousand Cubic Feet Dollars per Thousand Cubic Meters 0 0.5 1 1.5 2 2.5 3 0 10 20 30 40 50 60 70 80 Trillion Cubic Feet Billion Cubic Meters 1966 1976 1986 1996 Net Imports 0 0.2 0.4 0.6 0.8 0 -0.2 -0.4 -0.6 0 10 20 0 -10 -20 Trillion Cubic Feet Billion Cubic Meters 1966 1976 1986 1996 Net Additions to Storage Millions 0 5 10 15 20 25 0 100 200 300 400 500 600 700 Trillion Cubic Feet Billion Cubic Meters Dry Production 1966 1976 1986 1996 Sources: 1960-1975: Bureau of Mines, Minerals Yearbook, "Natural Gas" chapter. 1976-1978: Energy Information Administration (EIA), Energy Data Reports, Natural Gas Annual. 1979: EIA, Natural Gas Production and Consumption, 1979. 1980-1994: EIA, Form EIA-176, "Annual Report of Natural and Supplemental Gas Supply and Disposition"; Forms

6

Price of Maine Natural Gas Exports (Dollars per Thousand Cubic...  

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

Natural Gas Exports (Dollars per Thousand Cubic Feet) (Dollars per Thousand Cubic Feet) Price of Maine Natural Gas Exports (Dollars per Thousand Cubic Feet) (Dollars per Thousand...

7

Forecast Prices  

Gasoline and Diesel Fuel Update (EIA)

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

8

RACORO Forecasting  

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

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

9

Consensus Coal Production Forecast for  

E-Print Network (OSTI)

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

Mohaghegh, Shahab

10

Application of Artificial Neural Network Forecasts to Predict Fog at Canberra International Airport  

Science Journals Connector (OSTI)

The occurrence of fog can significantly impact air transport operations, and plays an important role in aviation safety. The economic value of aviation forecasts for Sydney Airport alone in 1993 was estimated at $6.8 million (Australian dollars) ...

Dustin Fabbian; Richard de Dear; Stephen Lellyett

2007-04-01T23:59:59.000Z

11

Massachusetts state airport system plan forecasts.  

E-Print Network (OSTI)

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

Mathaisel, Dennis F. X.

12

Freeport, TX Natural Gas LNG Imports (Price) From Nigeria (Dollars...  

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

Freeport, TX Natural Gas LNG Imports (Price) From Nigeria (Dollars per Thousand Cubic Feet) Freeport, TX Natural Gas LNG Imports (Price) From Nigeria (Dollars per Thousand Cubic...

13

Kenai, AK Liquefied Natural Gas Exports to Russia (Dollars per...  

Annual Energy Outlook 2012 (EIA)

Kenai, AK Liquefied Natural Gas Exports to Russia (Dollars per Thousand Cubic Feet) Kenai, AK Liquefied Natural Gas Exports to Russia (Dollars per Thousand Cubic Feet) Decade...

14

Dollars from Sense | Open Energy Information  

Open Energy Info (EERE)

Dollars from Sense Dollars from Sense Jump to: navigation, search Tool Summary Name: Dollars from Sense: The Economic Benefits of Renewable Energy Agency/Company /Organization: United States Department of Energy Partner: National Renewable Energy Laboratory Sector: Energy Focus Area: Economic Development Phase: Create a Vision Resource Type: Guide/manual User Interface: Website, Other Website: www.nrel.gov/docs/legosti/fy97/20505.pdf Cost: Free References: Dollars from Sense[1] An investigation of the direct economic benefits of investing in renewable energy. Overview "This document illustrates the direct economic benefits, including job creation, of investing in renewable energy technologies. Examples are drawn from across the nation, showing the value of generating electricity from

15

Oil Price and the Dollar Virginie Coudert  

E-Print Network (OSTI)

Oil Price and the Dollar Virginie Coudert , Val´erie Mignon , Alexis Penot§ 6th April 2005 Abstract The aim of this paper is to test whether a stable long-term relationship exists between oil prices and causality study between the two variables. Our results indicate that causality runs from oil prices

Boyer, Edmond

16

Fact #820: May 5, 2014 Dollars Spent on Imported Petroleum |...  

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

0: May 5, 2014 Dollars Spent on Imported Petroleum Fact 820: May 5, 2014 Dollars Spent on Imported Petroleum Over the last three decades, the amount of money the U.S. spent on...

17

Price of Northeast Gateway Natural Gas LNG Imports (Dollars per...  

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

(Dollars per Thousand Cubic Feet) Price of Northeast Gateway Natural Gas LNG Imports (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6...

18

Gulf LNG, Mississippi LNG Imports (Price) (Dollars per Thousand...  

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

Gulf LNG, Mississippi LNG Imports (Price) (Dollars per Thousand Cubic Feet) Gulf LNG, Mississippi LNG Imports (Price) (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2...

19

Price of Cameron, LA Natural Gas LNG Imports (Nominal Dollars...  

Annual Energy Outlook 2012 (EIA)

(Nominal Dollars per Thousand Cubic Feet) Price of Cameron, LA Natural Gas LNG Imports (Nominal Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5...

20

Price of New Hampshire Natural Gas Exports (Dollars per Thousand...  

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

New Hampshire Natural Gas Exports (Dollars per Thousand Cubic Feet) Price of New Hampshire Natural Gas Exports (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3...

Note: This page contains sample records for the topic "forecasts current dollars" 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

Price of Michigan Natural Gas Exports (Dollars per Thousand Cubic...  

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

Michigan Natural Gas Exports (Dollars per Thousand Cubic Feet) Price of Michigan Natural Gas Exports (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4...

22

Price of Texas Natural Gas Exports (Dollars per Thousand Cubic...  

Gasoline and Diesel Fuel Update (EIA)

Texas Natural Gas Exports (Dollars per Thousand Cubic Feet) Price of Texas Natural Gas Exports (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5...

23

Price of Washington Natural Gas Exports (Dollars per Thousand...  

Annual Energy Outlook 2012 (EIA)

Washington Natural Gas Exports (Dollars per Thousand Cubic Feet) Price of Washington Natural Gas Exports (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4...

24

Price of Alaska Natural Gas Exports (Dollars per Thousand Cubic...  

Annual Energy Outlook 2012 (EIA)

Alaska Natural Gas Exports (Dollars per Thousand Cubic Feet) Price of Alaska Natural Gas Exports (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5...

25

Price of California Natural Gas Exports (Dollars per Thousand...  

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

California Natural Gas Exports (Dollars per Thousand Cubic Feet) Price of California Natural Gas Exports (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4...

26

Price of Montana Natural Gas Exports (Dollars per Thousand Cubic...  

Gasoline and Diesel Fuel Update (EIA)

Montana Natural Gas Exports (Dollars per Thousand Cubic Feet) Price of Montana Natural Gas Exports (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4...

27

Price of Arizona Natural Gas Exports (Dollars per Thousand Cubic...  

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

Arizona Natural Gas Exports (Dollars per Thousand Cubic Feet) Price of Arizona Natural Gas Exports (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4...

28

Vermont Natural Gas Pipeline and Distribution Use Price (Dollars...  

Gasoline and Diesel Fuel Update (EIA)

Price (Dollars per Thousand Cubic Feet) Vermont Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5...

29

Maine Natural Gas Pipeline and Distribution Use Price (Dollars...  

Annual Energy Outlook 2012 (EIA)

Price (Dollars per Thousand Cubic Feet) Maine Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5...

30

Alabama Natural Gas Pipeline and Distribution Use Price (Dollars...  

Gasoline and Diesel Fuel Update (EIA)

Price (Dollars per Thousand Cubic Feet) Alabama Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5...

31

Delaware Natural Gas Pipeline and Distribution Use Price (Dollars...  

Annual Energy Outlook 2012 (EIA)

Price (Dollars per Thousand Cubic Feet) Delaware Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5...

32

Nevada Natural Gas Pipeline and Distribution Use Price (Dollars...  

Gasoline and Diesel Fuel Update (EIA)

Price (Dollars per Thousand Cubic Feet) Nevada Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5...

33

Kansas Natural Gas Pipeline and Distribution Use Price (Dollars...  

Gasoline and Diesel Fuel Update (EIA)

Price (Dollars per Thousand Cubic Feet) Kansas Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5...

34

California Natural Gas Pipeline and Distribution Use Price (Dollars...  

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

Price (Dollars per Thousand Cubic Feet) California Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4...

35

Oklahoma Natural Gas Pipeline and Distribution Use Price (Dollars...  

Annual Energy Outlook 2012 (EIA)

Price (Dollars per Thousand Cubic Feet) Oklahoma Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5...

36

Florida Natural Gas Pipeline and Distribution Use Price (Dollars...  

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

Price (Dollars per Thousand Cubic Feet) Florida Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5...

37

Oklahoma Natural Gas Vehicle Fuel Price (Dollars per Thousand...  

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

Vehicle Fuel Price (Dollars per Thousand Cubic Feet) Oklahoma Natural Gas Vehicle Fuel Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5...

38

New Jersey Natural Gas Vehicle Fuel Price (Dollars per Thousand...  

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

Vehicle Fuel Price (Dollars per Thousand Cubic Feet) New Jersey Natural Gas Vehicle Fuel Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5...

39

Texas Natural Gas Vehicle Fuel Price (Dollars per Thousand Cubic...  

Gasoline and Diesel Fuel Update (EIA)

Vehicle Fuel Price (Dollars per Thousand Cubic Feet) Texas Natural Gas Vehicle Fuel Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6...

40

Florida Natural Gas Vehicle Fuel Price (Dollars per Thousand...  

Annual Energy Outlook 2012 (EIA)

Vehicle Fuel Price (Dollars per Thousand Cubic Feet) Florida Natural Gas Vehicle Fuel Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5...

Note: This page contains sample records for the topic "forecasts current dollars" 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

Ohio Natural Gas Vehicle Fuel Price (Dollars per Thousand Cubic...  

Annual Energy Outlook 2012 (EIA)

Vehicle Fuel Price (Dollars per Thousand Cubic Feet) Ohio Natural Gas Vehicle Fuel Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6...

42

Washington Natural Gas Vehicle Fuel Price (Dollars per Thousand...  

Annual Energy Outlook 2012 (EIA)

Vehicle Fuel Price (Dollars per Thousand Cubic Feet) Washington Natural Gas Vehicle Fuel Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5...

43

Louisiana Natural Gas Vehicle Fuel Price (Dollars per Thousand...  

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

Vehicle Fuel Price (Dollars per Thousand Cubic Feet) Louisiana Natural Gas Vehicle Fuel Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5...

44

District of Columbia Natural Gas Vehicle Fuel Price (Dollars...  

Gasoline and Diesel Fuel Update (EIA)

Vehicle Fuel Price (Dollars per Thousand Cubic Feet) District of Columbia Natural Gas Vehicle Fuel Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4...

45

West Virginia Natural Gas Vehicle Fuel Price (Dollars per Thousand...  

Annual Energy Outlook 2012 (EIA)

Vehicle Fuel Price (Dollars per Thousand Cubic Feet) West Virginia Natural Gas Vehicle Fuel Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5...

46

Colorado Natural Gas Vehicle Fuel Price (Dollars per Thousand...  

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

Vehicle Fuel Price (Dollars per Thousand Cubic Feet) Colorado Natural Gas Vehicle Fuel Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5...

47

Nebraska Natural Gas Vehicle Fuel Price (Dollars per Thousand...  

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

Vehicle Fuel Price (Dollars per Thousand Cubic Feet) Nebraska Natural Gas Vehicle Fuel Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5...

48

Illinois Natural Gas Vehicle Fuel Price (Dollars per Thousand...  

Gasoline and Diesel Fuel Update (EIA)

Vehicle Fuel Price (Dollars per Thousand Cubic Feet) Illinois Natural Gas Vehicle Fuel Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5...

49

New York Natural Gas Vehicle Fuel Price (Dollars per Thousand...  

Annual Energy Outlook 2012 (EIA)

Vehicle Fuel Price (Dollars per Thousand Cubic Feet) New York Natural Gas Vehicle Fuel Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5...

50

Virginia Natural Gas Vehicle Fuel Price (Dollars per Thousand...  

Annual Energy Outlook 2012 (EIA)

Vehicle Fuel Price (Dollars per Thousand Cubic Feet) Virginia Natural Gas Vehicle Fuel Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5...

51

New Hampshire Natural Gas Vehicle Fuel Price (Dollars per Thousand...  

Annual Energy Outlook 2012 (EIA)

Vehicle Fuel Price (Dollars per Thousand Cubic Feet) New Hampshire Natural Gas Vehicle Fuel Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5...

52

Alabama Natural Gas Vehicle Fuel Price (Dollars per Thousand...  

Gasoline and Diesel Fuel Update (EIA)

Vehicle Fuel Price (Dollars per Thousand Cubic Feet) Alabama Natural Gas Vehicle Fuel Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5...

53

Pennsylvania Natural Gas Vehicle Fuel Price (Dollars per Thousand...  

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

Vehicle Fuel Price (Dollars per Thousand Cubic Feet) Pennsylvania Natural Gas Vehicle Fuel Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5...

54

Nevada Natural Gas Vehicle Fuel Price (Dollars per Thousand Cubic...  

Gasoline and Diesel Fuel Update (EIA)

Vehicle Fuel Price (Dollars per Thousand Cubic Feet) Nevada Natural Gas Vehicle Fuel Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6...

55

Idaho Natural Gas Vehicle Fuel Price (Dollars per Thousand Cubic...  

Gasoline and Diesel Fuel Update (EIA)

Vehicle Fuel Price (Dollars per Thousand Cubic Feet) Idaho Natural Gas Vehicle Fuel Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6...

56

Rhode Island Natural Gas Vehicle Fuel Price (Dollars per Thousand...  

Gasoline and Diesel Fuel Update (EIA)

Vehicle Fuel Price (Dollars per Thousand Cubic Feet) Rhode Island Natural Gas Vehicle Fuel Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5...

57

Connecticut Natural Gas Vehicle Fuel Price (Dollars per Thousand...  

Gasoline and Diesel Fuel Update (EIA)

Vehicle Fuel Price (Dollars per Thousand Cubic Feet) Connecticut Natural Gas Vehicle Fuel Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5...

58

Oregon Natural Gas Vehicle Fuel Price (Dollars per Thousand Cubic...  

Gasoline and Diesel Fuel Update (EIA)

Vehicle Fuel Price (Dollars per Thousand Cubic Feet) Oregon Natural Gas Vehicle Fuel Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6...

59

Michigan Natural Gas Vehicle Fuel Price (Dollars per Thousand...  

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

Vehicle Fuel Price (Dollars per Thousand Cubic Feet) Michigan Natural Gas Vehicle Fuel Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5...

60

Kansas Natural Gas Vehicle Fuel Price (Dollars per Thousand Cubic...  

Gasoline and Diesel Fuel Update (EIA)

Vehicle Fuel Price (Dollars per Thousand Cubic Feet) Kansas Natural Gas Vehicle Fuel Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6...

Note: This page contains sample records for the topic "forecasts current dollars" 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

Indiana Natural Gas Vehicle Fuel Price (Dollars per Thousand...  

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

Vehicle Fuel Price (Dollars per Thousand Cubic Feet) Indiana Natural Gas Vehicle Fuel Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5...

62

Mississippi Natural Gas Vehicle Fuel Price (Dollars per Thousand...  

Gasoline and Diesel Fuel Update (EIA)

Vehicle Fuel Price (Dollars per Thousand Cubic Feet) Mississippi Natural Gas Vehicle Fuel Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5...

63

Iowa Natural Gas Vehicle Fuel Price (Dollars per Thousand Cubic...  

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

Vehicle Fuel Price (Dollars per Thousand Cubic Feet) Iowa Natural Gas Vehicle Fuel Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6...

64

South Carolina Natural Gas Vehicle Fuel Price (Dollars per Thousand...  

Gasoline and Diesel Fuel Update (EIA)

Vehicle Fuel Price (Dollars per Thousand Cubic Feet) South Carolina Natural Gas Vehicle Fuel Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4...

65

Tennessee Natural Gas Vehicle Fuel Price (Dollars per Thousand...  

Gasoline and Diesel Fuel Update (EIA)

Vehicle Fuel Price (Dollars per Thousand Cubic Feet) Tennessee Natural Gas Vehicle Fuel Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5...

66

Delaware Natural Gas Vehicle Fuel Price (Dollars per Thousand...  

Gasoline and Diesel Fuel Update (EIA)

Vehicle Fuel Price (Dollars per Thousand Cubic Feet) Delaware Natural Gas Vehicle Fuel Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5...

67

North Carolina Natural Gas Vehicle Fuel Price (Dollars per Thousand...  

Gasoline and Diesel Fuel Update (EIA)

Vehicle Fuel Price (Dollars per Thousand Cubic Feet) North Carolina Natural Gas Vehicle Fuel Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4...

68

Georgia Natural Gas Vehicle Fuel Price (Dollars per Thousand...  

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

Vehicle Fuel Price (Dollars per Thousand Cubic Feet) Georgia Natural Gas Vehicle Fuel Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5...

69

South Dakota Natural Gas Vehicle Fuel Price (Dollars per Thousand...  

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

Vehicle Fuel Price (Dollars per Thousand Cubic Feet) South Dakota Natural Gas Vehicle Fuel Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5...

70

Arkansas Natural Gas Vehicle Fuel Price (Dollars per Thousand...  

Annual Energy Outlook 2012 (EIA)

Vehicle Fuel Price (Dollars per Thousand Cubic Feet) Arkansas Natural Gas Vehicle Fuel Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5...

71

Arizona Natural Gas Vehicle Fuel Price (Dollars per Thousand...  

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

Vehicle Fuel Price (Dollars per Thousand Cubic Feet) Arizona Natural Gas Vehicle Fuel Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5...

72

Wyoming Natural Gas Vehicle Fuel Price (Dollars per Thousand...  

Gasoline and Diesel Fuel Update (EIA)

Vehicle Fuel Price (Dollars per Thousand Cubic Feet) Wyoming Natural Gas Vehicle Fuel Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5...

73

Utah Natural Gas Vehicle Fuel Price (Dollars per Thousand Cubic...  

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

Vehicle Fuel Price (Dollars per Thousand Cubic Feet) Utah Natural Gas Vehicle Fuel Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6...

74

Massachusetts Natural Gas Vehicle Fuel Price (Dollars per Thousand...  

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

Vehicle Fuel Price (Dollars per Thousand Cubic Feet) Massachusetts Natural Gas Vehicle Fuel Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5...

75

Minnesota Natural Gas Vehicle Fuel Price (Dollars per Thousand...  

Annual Energy Outlook 2012 (EIA)

Vehicle Fuel Price (Dollars per Thousand Cubic Feet) Minnesota Natural Gas Vehicle Fuel Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5...

76

North Dakota Natural Gas Vehicle Fuel Price (Dollars per Thousand...  

Gasoline and Diesel Fuel Update (EIA)

Vehicle Fuel Price (Dollars per Thousand Cubic Feet) North Dakota Natural Gas Vehicle Fuel Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5...

77

Maryland Natural Gas Vehicle Fuel Price (Dollars per Thousand...  

Annual Energy Outlook 2012 (EIA)

Vehicle Fuel Price (Dollars per Thousand Cubic Feet) Maryland Natural Gas Vehicle Fuel Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5...

78

Missouri Natural Gas Vehicle Fuel Price (Dollars per Thousand...  

Annual Energy Outlook 2012 (EIA)

Vehicle Fuel Price (Dollars per Thousand Cubic Feet) Missouri Natural Gas Vehicle Fuel Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5...

79

California Natural Gas Vehicle Fuel Price (Dollars per Thousand...  

Annual Energy Outlook 2012 (EIA)

Vehicle Fuel Price (Dollars per Thousand Cubic Feet) California Natural Gas Vehicle Fuel Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5...

80

Montana Natural Gas Vehicle Fuel Price (Dollars per Thousand...  

Annual Energy Outlook 2012 (EIA)

Vehicle Fuel Price (Dollars per Thousand Cubic Feet) Montana Natural Gas Vehicle Fuel Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5...

Note: This page contains sample records for the topic "forecasts current dollars" 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

Port Nikiski, AK Liquefied Natural Gas Exports to Japan (Dollars...  

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

Dollars per Thousand Cubic Feet) Port Nikiski, AK Liquefied Natural Gas Exports to Japan (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6...

82

EIA - Forecasts and Analysis of Energy Data  

Gasoline and Diesel Fuel Update (EIA)

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

83

Dollar and Energy Savings Loans | Department of Energy  

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

Dollar and Energy Savings Loans Dollar and Energy Savings Loans Dollar and Energy Savings Loans < Back Eligibility Agricultural Commercial Institutional Local Government Multi-Family Residential Nonprofit Residential Savings Category Heating & Cooling Commercial Heating & Cooling Heating Home Weatherization Commercial Weatherization Sealing Your Home Cooling Appliances & Electronics Other Design & Remodeling Windows, Doors, & Skylights Ventilation Manufacturing Heat Pumps Commercial Lighting Lighting Insulation Water Heating Bioenergy Buying & Making Electricity Water Solar Wind Maximum Rebate '''Traditional Dollar and Energy Savings Loans:''' Residential: $100,000; Multifamily dwellings with 3 or more units: $250,000 Non-Residential: $250,000; Home Electronics: $25,000; Office Equipment: $50,000

84

,"New York Natural Gas Industrial Price (Dollars per Thousand...  

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

,,"(202) 586-8800",,,"182015 12:47:18 PM" "Back to Contents","Data 1: New York Natural Gas Industrial Price (Dollars per Thousand Cubic Feet)"...

85

,"New York Natural Gas Industrial Price (Dollars per Thousand...  

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

,,"(202) 586-8800",,,"182015 12:47:17 PM" "Back to Contents","Data 1: New York Natural Gas Industrial Price (Dollars per Thousand Cubic Feet)"...

86

,"Texas Natural Gas Price Sold to Electric Power Consumers (Dollars...  

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

Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Texas Natural Gas Price Sold to Electric Power Consumers (Dollars per Thousand Cubic...

87

,"Idaho Natural Gas Price Sold to Electric Power Consumers (Dollars...  

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

Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Idaho Natural Gas Price Sold to Electric Power Consumers (Dollars per Thousand Cubic...

88

,"Utah Natural Gas Price Sold to Electric Power Consumers (Dollars...  

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

Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Utah Natural Gas Price Sold to Electric Power Consumers (Dollars per Thousand Cubic...

89

,"Iowa Natural Gas Price Sold to Electric Power Consumers (Dollars...  

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

Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Iowa Natural Gas Price Sold to Electric Power Consumers (Dollars per Thousand Cubic...

90

,"Maine Natural Gas Price Sold to Electric Power Consumers (Dollars...  

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

Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Maine Natural Gas Price Sold to Electric Power Consumers (Dollars per Thousand Cubic...

91

,"Ohio Natural Gas Price Sold to Electric Power Consumers (Dollars...  

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

Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Ohio Natural Gas Price Sold to Electric Power Consumers (Dollars per Thousand Cubic...

92

ESPC Dollars Per Capita Map | Department of Energy  

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

Map ESPC Dollars Per Capita Map Provides the amount of Energy Savings Performance Contracting investments in state and local buildings in particular states. Author: Energy...

93

,"Connecticut Natural Gas Vehicle Fuel Price (Dollars per Thousand...  

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

Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Connecticut Natural Gas Vehicle Fuel Price (Dollars per Thousand Cubic Feet)",1,"Annual",2013...

94

,"Connecticut Natural Gas Industrial Price (Dollars per Thousand...  

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

,,"(202) 586-8800",,,"1162014 3:02:15 PM" "Back to Contents","Data 1: Connecticut Natural Gas Industrial Price (Dollars per Thousand Cubic Feet)"...

95

,"New York Natural Gas Imports Price (Dollars per Thousand Cubic...  

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

Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","New York Natural Gas Imports Price (Dollars per Thousand Cubic Feet)",1,"Annual",2013 ,"Release...

96

,"New York Natural Gas Vehicle Fuel Price (Dollars per Thousand...  

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

Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","New York Natural Gas Vehicle Fuel Price (Dollars per Thousand Cubic Feet)",1,"Annual",2013...

97

Wind power forecasting in U.S. electricity markets.  

SciTech Connect

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

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

2010-04-01T23:59:59.000Z

98

Wind power forecasting in U.S. Electricity markets  

SciTech Connect

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

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

2010-04-15T23:59:59.000Z

99

On the forecasting of the challenging world future scenarios  

Science Journals Connector (OSTI)

Logistic and power law methodologies for both retrospective and prospective analyses of extended time series describing evolutionary growth processes, in environments with finite resources, are confronted. While power laws may eventually apply only to the early stages of said growth process, the Allee logistic model seems applicable over the entire span of a long range process. On applying the Allee logistic model to both the world population and the world gross domestic product time series, from 1 to 2008 AD, a projection was obtained that along the next few decades the world should experience a new economic boom phase with the world GDP peaking around the year 2020 and proceeding from then on towards a saturation value of about 142 trillion international dollars, while the world population should reach 8.9 billion people by 2050. These results were then used to forecast the behavior of the supply and consumption of energy and food, two of the main commodities that drive the world system. Our findings suggest that unless the currently prevailing focus on economic growth is changed into that of sustainable prosperity, human society may run into a period of serious economical and social struggles with unpredictable political consequences.

Luiz C.M. Miranda; C.A.S. Lima

2011-01-01T23:59:59.000Z

100

Wind Speed Forecasting for Power System Operation  

E-Print Network (OSTI)

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

Zhu, Xinxin

2013-07-22T23:59:59.000Z

Note: This page contains sample records for the topic "forecasts current dollars" 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

Sabine Pass, LA Natural Gas LNG Imports (Price) From Peru (Dollars...  

Gasoline and Diesel Fuel Update (EIA)

Natural Gas LNG Imports (Price) From Peru (Dollars per Thousand Cubic Feet) Sabine Pass, LA Natural Gas LNG Imports (Price) From Peru (Dollars per Thousand Cubic Feet) Decade...

102

Price of Champlain, NY Natural Gas LNG Imports from Canada (Dollars...  

Gasoline and Diesel Fuel Update (EIA)

Champlain, NY Natural Gas LNG Imports from Canada (Dollars per Thousand Cubic Feet) Price of Champlain, NY Natural Gas LNG Imports from Canada (Dollars per Thousand Cubic Feet)...

103

Annual Energy Outlook Forecast Evaluation 2005  

Gasoline and Diesel Fuel Update (EIA)

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

104

Mercury emissions from municipal solid waste combustors. An assessment of the current situation in the United States and forecast of future emissions  

SciTech Connect

This report examines emissions of mercury (Hg) from municipal solid waste (MSW) combustion in the United States (US). It is projected that total annual nationwide MSW combustor emissions of mercury could decrease from about 97 tonnes (1989 baseline uncontrolled emissions) to less than about 4 tonnes in the year 2000. This represents approximately a 95 percent reduction in the amount of mercury emitted from combusted MSW compared to the 1989 mercury emissions baseline. The likelihood that routinely achievable mercury emissions removal efficiencies of about 80 percent or more can be assured; it is estimated that MSW combustors in the US could prove to be a comparatively minor source of mercury emissions after about 1995. This forecast assumes that diligent measures to control mercury emissions, such as via use of supplemental control technologies (e.g., carbon adsorption), are generally employed at that time. However, no present consensus was found that such emissions control measures can be implemented industry-wide in the US within this time frame. Although the availability of technology is apparently not a limiting factor, practical implementation of necessary control technology may be limited by administrative constraints and other considerations (e.g., planning, budgeting, regulatory compliance requirements, etc.). These projections assume that: (a) about 80 percent mercury emissions reduction control efficiency is achieved with air pollution control equipment likely to be employed by that time; (b) most cylinder-shaped mercury-zinc (CSMZ) batteries used in hospital applications can be prevented from being disposed into the MSW stream or are replaced with alternative batteries that do not contain mercury; and (c) either the amount of mercury used in fluorescent lamps is decreased to an industry-wide average of about 27 milligrams of mercury per lamp or extensive diversion from the MSW stream of fluorescent lamps that contain mercury is accomplished.

none,

1993-05-01T23:59:59.000Z

105

Annual Energy Outlook Forecast Evaluation  

Gasoline and Diesel Fuel Update (EIA)

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

106

Annual Energy Outlook Forecast Evaluation  

Gasoline and Diesel Fuel Update (EIA)

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

107

Forecasting wireless communication technologies  

Science Journals Connector (OSTI)

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

Sabrina Patino; Jisun Kim; Tugrul U. Daim

2010-01-01T23:59:59.000Z

108

Kenyan Shilling KES Stanbic Bank, Nairobi Namibian Dollar NAD Standard Bank Namibia, Ltd, Windhoek  

E-Print Network (OSTI)

Chartered Bank, Tokyo Singapore Dollar SGD The Bank of New York Mellon Thai Bhat THB HSBC Bank, Bangkok Australian Dollar AUD HSBC Bank, Sydney Fiji Dollar FJD Westpac Banking Corporation, Suva New Zealand Dollar, Port Vila British Pound GBP HSBC Bank PLC, London Czech Republic Koruna CZK Ceskoslovenska Obchodni

Qian, Ning

109

Forecasting-based SKU classification  

Science Journals Connector (OSTI)

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

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

2013-01-01T23:59:59.000Z

110

COLORADO STATE UNIVERSITY FORECAST OF ATLANTIC HURRICANE ACTIVITY FROM AUGUST 3 AUGUST 16, 2012  

E-Print Network (OSTI)

there is significant uncertainty in its future intensity, the current forecast is for a slowly strengthening TC which, 3) forecast output from global models, 4) the current and projected state of the Madden with these two-week forecasts is the Accumulated Cyclone Energy (ACE) index, which is defined to be all

Gray, William

111

Current:  

Office of Legacy Management (LM)

OWNE3 (55) OWNE3 (55) -------- past: _--_-------------------- Current: Owner contacted I-J yes ,Fqna; ------------_------------- if yes, date contacted TYPE OF OPEF(ATION ---__-------_____ c] Research & Development -4 Facility Type ci Production scale testing 0 Pilbt Scale 0 Bench Scale Process 0 Theoretical Studies 0 Sample & Analysis C Productian E Disposal/Storage TYPE OF CONTRACi _------_-------_ tlanuf acturi ng University Research Organizaticn q Prime --. _' cl Other information (i.e., cost price, + fixed fee, unit time % material, qtr) ------- ~----~---~~------__--------- YuncOntractor Purchase Order Contract/Purkhase Order # cc-km ----_----~~-----___--------- --------------------------------- OWNEKSHIP: AEC/ME3 AEC/MED GOVT GOUT CONTRACTOR CCNTRACTOR

112

Current:  

Office of Legacy Management (LM)

Qwner contacted n yes Qwner contacted n yes Current: ---------------------L---- if yes, date contacted Research & Development cl Facility Type 0 . Productioff 0 Di 3pcsal /Storage TYPE OF CONTRACT ---------------- q Prime q Subcontractor 0 Purchase Order 0 Other information (i.e. q cast + fixed fee, unit piice, time & material, etr) ------- ------_-----_--------------- 0 Production scale testing 0 Pilot Scale 0 Bench Scale Process a Theoretical Studies Sample & Analysis rcc t O' L~1 q Manufacturing 0 University 0 Research Organization 0 Government Sponsored Facility 0 Other ~--~~---_--__-____--- ' Contract/Purchase Order # __-u~-rc,~~--___~~I_IzI__zpI------------ CONTRACTING PE3IOD: lW/ ------------------ _----__--~-~~--~~_-----~~~~~~~~~~~~~~ ClWNERSHIP:

113

Wind Power Forecasting  

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

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

114

Solar forecasting review  

E-Print Network (OSTI)

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

Inman, Richard Headen

2012-01-01T23:59:59.000Z

115

Wind Power Forecasting  

Science Journals Connector (OSTI)

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

Sue Ellen Haupt; William P. Mahoney; Keith Parks

2014-01-01T23:59:59.000Z

116

Energy Demand Forecasting  

Science Journals Connector (OSTI)

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

S. C. Bhattacharyya

2011-01-01T23:59:59.000Z

117

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

SciTech Connect

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

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

2014-05-01T23:59:59.000Z

118

NASA Renews Multi-Million Dollar FundingNASA Renews Multi-Million Dollar Funding The National Aeronautics and Space Administration  

E-Print Network (OSTI)

1 NASA Renews Multi-Million Dollar FundingNASA Renews Multi-Million Dollar Funding The National Aeronautics and Space Administration (NASA) has renewed its support of the Antarctic Im- pulsive Transient

119

Technology Forecasting Scenario Development  

E-Print Network (OSTI)

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

120

CAPP 2010 Forecast.indd  

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

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

Note: This page contains sample records for the topic "forecasts current dollars" 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

Secretarial Awards Recognize Employees for Saving Taxpayer Dollars |  

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

Secretarial Awards Recognize Employees for Saving Taxpayer Dollars Secretarial Awards Recognize Employees for Saving Taxpayer Dollars Secretarial Awards Recognize Employees for Saving Taxpayer Dollars September 19, 2012 - 4:58pm Addthis David Arakawa (ORNL) 1 of 6 David Arakawa (ORNL) David Arakawa, from Oak Ridge National Laboratory, managed the Spallation Neutron Source Instruments - Next Generation (SING) project, where his hands-on approach helped him lead his team to complete the project two months ahead of schedule and $263,000 under budget. Brian Lally (Office of Science) 2 of 6 Brian Lally (Office of Science) Brian Lally, from the Office of Science's Chicago Site Office, helped create and execute reforms that provide more flexibility in negotiating intellectual property rights for technologies developed at the national

122

Secretarial Awards Recognize Employees for Saving Taxpayer Dollars |  

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

Secretarial Awards Recognize Employees for Saving Taxpayer Dollars Secretarial Awards Recognize Employees for Saving Taxpayer Dollars Secretarial Awards Recognize Employees for Saving Taxpayer Dollars September 19, 2012 - 4:58pm Addthis David Arakawa (ORNL) 1 of 6 David Arakawa (ORNL) David Arakawa, from Oak Ridge National Laboratory, managed the Spallation Neutron Source Instruments - Next Generation (SING) project, where his hands-on approach helped him lead his team to complete the project two months ahead of schedule and $263,000 under budget. Brian Lally (Office of Science) 2 of 6 Brian Lally (Office of Science) Brian Lally, from the Office of Science's Chicago Site Office, helped create and execute reforms that provide more flexibility in negotiating intellectual property rights for technologies developed at the national

123

Improved Manufacturing Processes Save Company One Billion Dollars |  

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

Improved Manufacturing Processes Save Company One Billion Dollars Improved Manufacturing Processes Save Company One Billion Dollars Improved Manufacturing Processes Save Company One Billion Dollars October 12, 2011 - 3:17pm Addthis This simulation of a droplet of liquid falling into a pool of liquid was modeled using Los Alamos National Laboratory's Computational Fluid Dynamics Library (CFDLib), which was also used by Procter and Gamble to simulate a manufacturing process. The computer code is now available to help American industries become more competitive. | Courtesy of Los Alamos National Laboratory This simulation of a droplet of liquid falling into a pool of liquid was modeled using Los Alamos National Laboratory's Computational Fluid Dynamics Library (CFDLib), which was also used by Procter and Gamble to simulate a

124

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

SciTech Connect

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

Porter, K.; Rogers, J.

2012-04-01T23:59:59.000Z

125

November 2011 Office Furniture Purchase Form for Small Dollar Transactions  

E-Print Network (OSTI)

November 2011 Office Furniture Purchase Form for Small Dollar Transactions As you know, the University is normally required to purchase office furniture from Maryland Correctional Enterprises, hopefully! We have good news! We now offer campus the flexibility to purchase office furniture from vendors

126

Next Generation Short-Term Forecasting of Wind Power Overview of the ANEMOS Project.  

E-Print Network (OSTI)

1 Next Generation Short-Term Forecasting of Wind Power ­ Overview of the ANEMOS Project. G outperform current state-of-the-art methods, for onshore and offshore wind power forecasting. Advanced forecasts for the power system management and market integration of wind power. Keywords: Wind power, short

Boyer, Edmond

127

Valuing Climate Forecast Information  

Science Journals Connector (OSTI)

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

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

1987-09-01T23:59:59.000Z

128

Comparing Forecast Skill  

Science Journals Connector (OSTI)

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

Timothy DelSole; Michael K. Tippett

2014-12-01T23:59:59.000Z

129

Prediction versus Projection: How weather forecasting and  

E-Print Network (OSTI)

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

Howat, Ian M.

130

U.S. Nominal Cost per Dry Well Drilled (Thousand Dollars per...  

Annual Energy Outlook 2012 (EIA)

Dry Well Drilled (Thousand Dollars per Well) U.S. Nominal Cost per Dry Well Drilled (Thousand Dollars per Well) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7...

131

U.S. Nominal Cost per Natural Gas Well Drilled (Thousand Dollars...  

Annual Energy Outlook 2012 (EIA)

Natural Gas Well Drilled (Thousand Dollars per Well) U.S. Nominal Cost per Natural Gas Well Drilled (Thousand Dollars per Well) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5...

132

U.S. Nominal Cost per Foot of Natural Gas Wells Drilled (Dollars...  

Annual Energy Outlook 2012 (EIA)

Natural Gas Wells Drilled (Dollars per Foot) U.S. Nominal Cost per Foot of Natural Gas Wells Drilled (Dollars per Foot) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6...

133

U.S. Nominal Cost per Crude Oil Well Drilled (Thousand Dollars...  

Annual Energy Outlook 2012 (EIA)

Oil Well Drilled (Thousand Dollars per Well) U.S. Nominal Cost per Crude Oil Well Drilled (Thousand Dollars per Well) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7...

134

U.S. Nominal Cost per Foot of Crude Oil Wells Drilled (Dollars...  

Annual Energy Outlook 2012 (EIA)

Oil Wells Drilled (Dollars per Foot) U.S. Nominal Cost per Foot of Crude Oil Wells Drilled (Dollars per Foot) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8...

135

Price of Everett, MA Natural Gas LNG Imports from Algeria (Dollars...  

Gasoline and Diesel Fuel Update (EIA)

Algeria (Dollars per Thousand Cubic Feet) Price of Everett, MA Natural Gas LNG Imports from Algeria (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4...

136

Price of Gulf of Mexico Natural Gas LNG Imports (Nominal Dollars...  

Gasoline and Diesel Fuel Update (EIA)

(Nominal Dollars per Thousand Cubic Feet) Price of Gulf of Mexico Natural Gas LNG Imports (Nominal Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4...

137

Price of U.S. Liquefied Natural Gas Imports From Indonesia (Dollars...  

Gasoline and Diesel Fuel Update (EIA)

Indonesia (Dollars per Thousand Cubic Feet) Price of U.S. Liquefied Natural Gas Imports From Indonesia (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4...

138

Price of Liquefied U.S. Natural Gas Re-Exports to Portugal (Dollars...  

Gasoline and Diesel Fuel Update (EIA)

Liquefied U.S. Natural Gas Re-Exports to Portugal (Dollars per Thousand Cubic Feet) Price of Liquefied U.S. Natural Gas Re-Exports to Portugal (Dollars per Thousand Cubic Feet)...

139

Price of Liquefied U.S. Natural Gas Exports by Vessel (Dollars...  

Gasoline and Diesel Fuel Update (EIA)

(Dollars per Thousand Cubic Feet) Price of Liquefied U.S. Natural Gas Exports by Vessel (Dollars per Thousand Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2013...

140

Price of Liquefied U.S. Natural Gas Exports to Portugal (Dollars...  

Annual Energy Outlook 2012 (EIA)

Exports to Portugal (Dollars per Thousand Cubic Feet) Price of Liquefied U.S. Natural Gas Exports to Portugal (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3...

Note: This page contains sample records for the topic "forecasts current dollars" 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

U.S. Natural Gas Vehicle Fuel Price (Dollars per Thousand Cubic...  

Gasoline and Diesel Fuel Update (EIA)

Vehicle Fuel Price (Dollars per Thousand Cubic Feet) U.S. Natural Gas Vehicle Fuel Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6...

142

IP CN Crosby, ND Natural Gas Pipeline Imports From Canada (Dollars...  

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

IP CN Crosby, ND Natural Gas Pipeline Imports From Canada (Dollars per Thousand Cubic Feet) IP CN Crosby, ND Natural Gas Pipeline Imports From Canada (Dollars per Thousand Cubic...

143

Pacific Adaptation Strategy Assistance Program Dynamical Seasonal Forecasting  

E-Print Network (OSTI)

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

Lim, Eun-pa

144

A Micro-foundations Model of Dollarization with Network Externalities and Portfolio Choice: The  

E-Print Network (OSTI)

A Micro-foundations Model of Dollarization with Network Externalities and Portfolio Choice 1: In°ation and Dollarization: Bolivia A Micro-foundations Model of Dollarization with Network of hysteresis claim that there are network externalities in transactions. They imply that agents may continue

145

"2012 Total Electric Industry- Revenue (Thousands Dollars)"  

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

Revenue (Thousands Dollars)" Revenue (Thousands Dollars)" "(Data from forms EIA-861- schedules 4A-D, EIA-861S and EIA-861U)" "State","Residential","Commercial","Industrial","Transportation","Total" "New England",7418025.1,6137400,3292222.3,37797.4,16885444.6 "Connecticut",2212594.3,1901294.3,451909.7,18679.5,4584477.8 "Maine",656822,467228,241624.4,0,1365674.3 "Massachusetts",3029291.6,2453106,2127180,17162,7626739.5 "New Hampshire",713388.2,598371.1,231041,0,1542800.3 "Rhode Island",449603.6,431951.9,98597.2,1955.9,982108.6 "Vermont",356325.4,285448.7,141870,0,783644.1 "Middle Atlantic",20195109.9,20394744.7,5206283.9,488944,46285082.4

146

NREL: News Feature - Bright Ideas Chase Investor Dollars at Forum  

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

Bright Ideas Chase Investor Dollars at Forum Bright Ideas Chase Investor Dollars at Forum December 17, 2013 In this photo, two men in suits are in animated conversation, while two others listen in. In the background are other conference attendees in a crowded room. Enlarge image Ilan Gur (right), program director and technology-to-market senior advisor for ARPA-E, networks with company representatives and investors at NREL's 2013 Industry Growth Forum in Denver. Credit: Dennis Schroeder A company that can generate electricity using low-temperature waste heat was the big winner at the recent 26th annual Industry Growth Forum in downtown Denver, a gathering of people who have no qualms about making money while helping to build a more sustainable world. The annual gathering sponsored by the Energy Department's National

147

Colorado Natural Gas Pipeline and Distribution Use Price (Dollars per  

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

Price (Dollars per Thousand Cubic Feet) Price (Dollars per Thousand Cubic Feet) Colorado Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0.17 0.17 0.17 1970's 0.18 0.19 0.21 0.22 0.27 0.49 0.72 1.00 1.31 1.53 1980's 2.17 2.58 2.78 2.78 2.81 2.62 2.71 2.57 2.24 1.75 1990's 1.75 1.79 1.89 1.86 1.78 1.45 1.97 2.44 1.98 1.66 2000's 3.89 3.86 NA -- -- - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Price for Natural Gas Pipeline and Distribution Use Colorado Natural Gas Prices Price for Natural Gas Pipeline and Distribution Use

148

Kentucky Natural Gas Pipeline and Distribution Use Price (Dollars per  

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

Price (Dollars per Thousand Cubic Feet) Price (Dollars per Thousand Cubic Feet) Kentucky Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0.33 0.27 0.23 1970's 0.20 0.22 0.24 0.25 0.29 0.37 0.48 0.60 0.57 1.26 1980's 1.67 2.18 2.85 3.05 2.93 2.89 2.44 1.97 1.77 2.00 1990's 2.12 2.35 2.51 2.67 1.95 1.83 2.63 2.51 2.45 2.11 2000's 3.27 3.96 NA -- -- -- - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Price for Natural Gas Pipeline and Distribution Use Kentucky Natural Gas Prices Price for Natural Gas Pipeline and Distribution Use

149

Louisiana Natural Gas Pipeline and Distribution Use Price (Dollars per  

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

Price (Dollars per Thousand Cubic Feet) Price (Dollars per Thousand Cubic Feet) Louisiana Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0.19 0.19 0.05 1970's 0.20 0.21 0.23 0.24 0.28 0.39 0.50 0.81 0.96 1.30 1980's 1.81 2.36 2.91 3.13 3.00 2.90 2.48 1.97 1.96 2.07 1990's 1.98 2.25 2.25 2.40 1.44 1.61 2.58 2.59 2.22 1.98 2000's 3.10 3.76 NA -- -- - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Price for Natural Gas Pipeline and Distribution Use Louisiana Natural Gas Prices Price for Natural Gas Pipeline and Distribution Use

150

Montana Natural Gas Pipeline and Distribution Use Price (Dollars per  

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

Price (Dollars per Thousand Cubic Feet) Price (Dollars per Thousand Cubic Feet) Montana Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0.12 0.11 0.11 1970's 0.11 0.12 0.17 0.21 0.23 0.42 0.46 0.73 0.83 1.16 1980's 1.29 1.90 2.87 3.00 3.04 2.51 2.28 1.86 1.65 1.57 1990's 1.75 1.76 1.63 2.15 1.53 1.16 1.44 1.77 1.72 2.12 2000's 2.96 2.48 NA -- -- -- - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Price for Natural Gas Pipeline and Distribution Use Montana Natural Gas Prices Price for Natural Gas Pipeline and Distribution Use

151

Arizona Natural Gas Pipeline and Distribution Use Price (Dollars per  

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

Price (Dollars per Thousand Cubic Feet) Price (Dollars per Thousand Cubic Feet) Arizona Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0.15 0.15 0.15 1970's 0.17 0.17 0.19 0.22 0.28 0.36 0.44 0.64 0.75 1.29 1980's 1.62 2.22 2.86 3.16 2.83 2.79 2.22 1.49 1.79 1.50 1990's 1.65 1.26 1.25 1.68 1.28 1.19 1.80 2.20 1.90 2.08 2000's 3.61 3.96 NA -- -- -- - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Price for Natural Gas Pipeline and Distribution Use Arizona Natural Gas Prices Price for Natural Gas Pipeline and Distribution Use

152

Louisiana Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet)  

Gasoline and Diesel Fuel Update (EIA)

Wellhead Price (Dollars per Thousand Cubic Feet) Wellhead Price (Dollars per Thousand Cubic Feet) Louisiana Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0.19 0.19 0.19 1970's 0.19 0.20 0.20 0.22 0.31 0.42 0.46 0.70 0.84 1.11 1980's 1.61 2.07 2.60 2.67 2.73 2.66 2.21 1.78 1.81 1.82 1990's 1.83 1.73 1.73 2.14 2.08 1.58 2.33 2.36 2.02 2.22 2000's 3.68 3.99 3.20 5.64 5.96 8.72 6.93 7.02 8.73 3.82 2010's 4.23 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 1/7/2014 Next Release Date: 1/31/2014 Referring Pages: Natural Gas Wellhead Price Louisiana Natural Gas Prices

153

Colorado Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet)  

Gasoline and Diesel Fuel Update (EIA)

Wellhead Price (Dollars per Thousand Cubic Feet) Wellhead Price (Dollars per Thousand Cubic Feet) Colorado Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0.13 0.13 0.14 1970's 0.15 0.16 0.16 0.18 0.20 0.26 0.48 0.81 0.84 1.41 1980's 1.47 1.97 3.17 3.38 3.43 2.90 2.05 1.76 1.59 1.52 1990's 1.55 1.41 1.37 1.61 1.39 0.95 1.37 2.23 1.90 2.18 2000's 3.67 3.84 2.41 4.54 5.21 7.43 6.12 4.57 6.94 3.21 2010's 3.96 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 1/7/2014 Next Release Date: 1/31/2014 Referring Pages: Natural Gas Wellhead Price Colorado Natural Gas Prices

154

Kansas Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet)  

Gasoline and Diesel Fuel Update (EIA)

Wellhead Price (Dollars per Thousand Cubic Feet) Wellhead Price (Dollars per Thousand Cubic Feet) Kansas Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0.13 0.14 0.14 1970's 0.14 0.14 0.14 0.16 0.17 0.17 0.42 0.48 0.57 0.76 1980's 0.77 0.92 1.51 1.57 1.49 1.27 1.21 1.15 1.36 1.44 1990's 1.56 1.37 1.54 1.80 1.60 1.36 1.92 2.05 1.70 1.80 2000's 3.21 3.66 2.61 4.33 4.94 6.51 5.61 5.69 6.85 3.16 2010's 4.23 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 1/7/2014 Next Release Date: 1/31/2014 Referring Pages: Natural Gas Wellhead Price Kansas Natural Gas Prices

155

Arkansas Natural Gas Pipeline and Distribution Use Price (Dollars per  

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

Price (Dollars per Thousand Cubic Feet) Price (Dollars per Thousand Cubic Feet) Arkansas Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0.18 0.18 0.18 1970's 0.19 0.22 0.24 0.26 0.30 0.43 0.52 0.71 0.86 1.12 1980's 1.78 2.12 2.63 2.94 2.97 2.78 2.46 2.64 2.07 2.30 1990's 2.17 2.06 1.78 1.64 1.61 1.45 2.41 2.42 1.58 1.38 2000's 2.41 4.09 NA -- -- -- - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Price for Natural Gas Pipeline and Distribution Use Arkansas Natural Gas Prices Price for Natural Gas Pipeline and Distribution Use

156

Washington Natural Gas Pipeline and Distribution Use Price (Dollars per  

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

Price (Dollars per Thousand Cubic Feet) Price (Dollars per Thousand Cubic Feet) Washington Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0.22 0.21 0.22 1970's 0.22 0.24 0.28 0.33 0.44 0.65 0.78 1.67 1.92 2.38 1980's 3.92 4.34 4.72 3.98 3.72 3.12 2.52 2.11 1.99 2.06 1990's 2.04 1.98 1.89 1.37 1.84 1.78 1.77 1.89 1.76 2.03 2000's 3.07 2.82 NA -- -- -- - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Price for Natural Gas Pipeline and Distribution Use Washington Natural Gas Prices

157

Maryland Natural Gas Pipeline and Distribution Use Price (Dollars per  

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

Price (Dollars per Thousand Cubic Feet) Price (Dollars per Thousand Cubic Feet) Maryland Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0.20 0.19 0.19 1970's 0.19 0.22 0.24 0.25 0.27 0.38 0.50 0.69 0.84 1.25 1980's 2.41 2.74 3.08 3.28 3.29 3.17 3.19 2.37 2.27 2.72 1990's 2.15 1.94 1.94 2.08 2.01 1.81 2.48 2.98 2.41 2.30 2000's 3.30 4.75 NA -- -- -- - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Price for Natural Gas Pipeline and Distribution Use Maryland Natural Gas Prices Price for Natural Gas Pipeline and Distribution Use

158

Geothermal System Saves Dollars, Makes Sense for Maryland Family |  

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

System Saves Dollars, Makes Sense for Maryland Family System Saves Dollars, Makes Sense for Maryland Family Geothermal System Saves Dollars, Makes Sense for Maryland Family April 16, 2010 - 5:15pm Addthis A 36-foot-tall drill was needed to install the geothermal system at the Gearon’s house in Derwood, MD. | Photo courtesy of Chris Gearon | A 36-foot-tall drill was needed to install the geothermal system at the Gearon's house in Derwood, MD. | Photo courtesy of Chris Gearon | Lindsay Gsell "At the end of the day, it cost us about the same as if we just replaced our furnace and AC with another furnace and AC, but the big difference is that we're not spending $3,000 on oil bills anymore." Chris Gearon, Derwood, MD resident who recently installed a geothermal system to heal and cool his home Chris Gearon's 24-year old oil furnace was tired. What happened if the

159

Michigan Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet)  

Gasoline and Diesel Fuel Update (EIA)

Wellhead Price (Dollars per Thousand Cubic Feet) Wellhead Price (Dollars per Thousand Cubic Feet) Michigan Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0.25 0.25 0.26 1970's 0.27 0.26 0.31 0.39 0.50 0.63 0.89 1.01 1.20 1.74 1980's 2.35 2.86 3.19 3.58 3.76 3.60 3.60 3.24 3.18 3.16 1990's 3.00 2.79 2.71 2.38 1.96 1.67 2.21 2.19 1.77 1.77 2000's 2.44 3.47 2.16 4.01 3.85 5.30 NA NA 5.63 3.92 2010's 3.79 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 1/7/2014 Next Release Date: 1/31/2014 Referring Pages: Natural Gas Wellhead Price Michigan Natural Gas Prices

160

Kentucky Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet)  

Gasoline and Diesel Fuel Update (EIA)

Wellhead Price (Dollars per Thousand Cubic Feet) Wellhead Price (Dollars per Thousand Cubic Feet) Kentucky Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0.24 0.25 0.25 1970's 0.25 0.25 0.25 0.35 0.50 0.54 0.55 0.55 0.58 0.95 1980's 0.89 1.01 1.52 1.51 1.70 2.39 1.88 1.82 2.56 2.13 1990's 2.24 2.03 1.92 2.28 2.24 1.64 2.55 2.66 2.39 2.07 2000's 3.16 4.78 3.01 4.54 5.26 6.84 8.83 7.35 8.42 NA 2010's 4.47 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 1/7/2014 Next Release Date: 1/31/2014 Referring Pages: Natural Gas Wellhead Price Kentucky Natural Gas Prices

Note: This page contains sample records for the topic "forecasts current dollars" 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

Alabama Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet)  

Gasoline and Diesel Fuel Update (EIA)

Wellhead Price (Dollars per Thousand Cubic Feet) Wellhead Price (Dollars per Thousand Cubic Feet) Alabama Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0.13 0.13 0.13 1970's 0.14 0.15 0.35 0.38 0.74 0.87 0.99 1.47 1.50 2.04 1980's 3.19 4.77 3.44 4.28 3.73 3.71 2.89 2.97 2.65 2.72 1990's 2.75 2.33 2.29 2.46 2.17 1.82 2.62 2.67 2.21 2.32 2000's 3.99 4.23 3.48 5.93 6.66 9.28 7.57 7.44 9.65 4.32 2010's 4.46 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 1/7/2014 Next Release Date: 1/31/2014 Referring Pages: Natural Gas Wellhead Price Alabama Natural Gas Prices

162

Wyoming Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet)  

Gasoline and Diesel Fuel Update (EIA)

Wellhead Price (Dollars per Thousand Cubic Feet) Wellhead Price (Dollars per Thousand Cubic Feet) Wyoming Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0.15 0.15 0.15 1970's 0.15 0.15 0.16 0.18 0.25 0.34 0.41 0.64 0.79 1.13 1980's 1.92 2.77 3.22 3.18 3.32 3.01 2.52 1.76 1.53 1.24 1990's 1.16 1.06 1.13 1.99 2.05 1.78 2.57 2.42 1.78 1.97 2000's 3.34 3.49 2.70 4.13 4.96 6.86 5.85 4.65 6.86 3.40 2010's 4.30 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 1/7/2014 Next Release Date: 1/31/2014 Referring Pages: Natural Gas Wellhead Price Wyoming Natural Gas Prices

163

Oklahoma Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet)  

Gasoline and Diesel Fuel Update (EIA)

Wellhead Price (Dollars per Thousand Cubic Feet) Wellhead Price (Dollars per Thousand Cubic Feet) Oklahoma Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0.14 0.14 0.15 1970's 0.16 0.16 0.16 0.19 0.28 0.32 0.50 0.79 0.90 1.12 1980's 1.51 1.88 2.74 2.83 2.72 2.47 1.71 1.47 1.55 1.59 1990's 1.57 1.47 1.70 1.88 1.70 1.44 2.21 2.32 1.77 2.05 2000's 3.63 4.03 2.94 4.97 5.52 7.21 6.32 6.24 7.56 3.53 2010's 4.71 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 1/7/2014 Next Release Date: 1/31/2014 Referring Pages: Natural Gas Wellhead Price Oklahoma Natural Gas Prices

164

Montana Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet)  

Gasoline and Diesel Fuel Update (EIA)

Wellhead Price (Dollars per Thousand Cubic Feet) Wellhead Price (Dollars per Thousand Cubic Feet) Montana Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0.08 0.09 0.10 1970's 0.10 0.12 0.12 0.24 0.25 0.43 0.45 0.72 0.85 1.21 1980's 1.45 1.91 2.15 2.41 2.46 2.39 2.05 1.80 1.70 1.55 1990's 1.79 1.66 1.62 1.55 1.46 1.36 1.41 1.59 1.53 1.68 2000's 2.84 3.12 2.39 3.73 4.51 6.57 5.53 5.72 7.50 3.16 2010's 3.64 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 1/7/2014 Next Release Date: 1/31/2014 Referring Pages: Natural Gas Wellhead Price Montana Natural Gas Prices

165

Ohio Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet)  

Gasoline and Diesel Fuel Update (EIA)

Wellhead Price (Dollars per Thousand Cubic Feet) Wellhead Price (Dollars per Thousand Cubic Feet) Ohio Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0.24 0.25 0.26 1970's 0.27 0.34 0.39 0.43 0.48 0.71 1.02 1.40 1.57 1.81 1980's 1.98 2.17 2.71 3.24 3.19 3.08 2.84 2.58 2.55 2.55 1990's 2.54 2.38 2.35 2.46 2.43 2.33 2.63 2.70 2.95 2.43 2000's 4.06 4.54 4.52 5.90 6.65 9.03 7.75 7.59 7.88 4.36 2010's 4.63 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 1/7/2014 Next Release Date: 1/31/2014 Referring Pages: Natural Gas Wellhead Price Ohio Natural Gas Prices Natural Gas Wellhead

166

Alaska Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet)  

Gasoline and Diesel Fuel Update (EIA)

Wellhead Price (Dollars per Thousand Cubic Feet) Wellhead Price (Dollars per Thousand Cubic Feet) Alaska Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0.25 0.25 0.25 1970's 0.25 0.24 0.15 0.15 0.17 0.30 0.39 0.40 0.52 0.52 1980's 0.73 0.62 0.63 0.73 0.73 0.74 0.50 0.94 1.27 1.36 1990's 1.38 1.48 1.41 1.42 1.27 1.64 1.61 1.82 1.32 1.37 2000's 1.76 1.99 2.13 2.41 3.42 4.75 5.79 5.63 7.39 2.93 2010's 3.17 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 1/7/2014 Next Release Date: 1/31/2014 Referring Pages: Natural Gas Wellhead Price Alaska Natural Gas Prices

167

Mississippi Natural Gas Pipeline and Distribution Use Price (Dollars per  

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

Price (Dollars per Thousand Cubic Feet) Price (Dollars per Thousand Cubic Feet) Mississippi Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0.19 0.20 0.19 1970's 0.20 0.21 0.23 0.24 0.28 0.36 0.46 0.73 0.88 1.28 1980's 1.75 2.34 2.91 3.06 2.94 2.92 2.44 1.99 1.87 2.09 1990's 2.11 2.33 2.34 2.37 1.98 1.82 2.63 2.62 2.33 2.19 2000's 3.37 4.28 NA -- -- - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Price for Natural Gas Pipeline and Distribution Use Mississippi Natural Gas Prices

168

Michigan Natural Gas Pipeline and Distribution Use Price (Dollars per  

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

Price (Dollars per Thousand Cubic Feet) Price (Dollars per Thousand Cubic Feet) Michigan Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0.27 0.27 0.27 1970's 0.27 0.28 0.29 0.35 0.46 0.56 0.71 0.98 1.67 1.60 1980's 2.98 3.73 3.63 3.86 3.95 3.54 2.95 2.64 2.39 2.03 1990's 1.86 0.50 0.57 0.26 0.20 0.54 1.04 0.95 0.69 0.78 2000's 1.32 1.76 NA -- -- -- - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Price for Natural Gas Pipeline and Distribution Use Michigan Natural Gas Prices Price for Natural Gas Pipeline and Distribution Use

169

Utah Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet)  

Gasoline and Diesel Fuel Update (EIA)

Wellhead Price (Dollars per Thousand Cubic Feet) Wellhead Price (Dollars per Thousand Cubic Feet) Utah Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0.13 0.16 0.15 1970's 0.15 0.17 0.17 0.19 0.41 0.48 0.50 0.61 0.64 0.72 1980's 1.12 1.10 3.06 3.40 4.08 3.52 2.90 1.88 2.39 1.58 1990's 1.70 1.54 1.63 1.77 1.54 1.15 1.39 1.86 1.73 1.93 2000's 3.28 3.52 1.99 4.11 5.24 7.16 5.49 NA 6.15 3.38 2010's 4.23 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 1/7/2014 Next Release Date: 1/31/2014 Referring Pages: Natural Gas Wellhead Price Utah Natural Gas Prices Natural Gas Wellhead

170

Oregon Natural Gas Pipeline and Distribution Use Price (Dollars per  

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

Price (Dollars per Thousand Cubic Feet) Price (Dollars per Thousand Cubic Feet) Oregon Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0.22 0.21 0.22 1970's 0.22 0.32 0.28 0.35 0.47 0.61 0.82 1.77 1.98 2.53 1980's 4.41 4.75 4.90 4.19 3.90 3.13 2.35 2.00 1.90 2.09 1990's 2.16 2.32 2.16 1.71 1.86 1.77 1.77 1.80 1.84 1.98 2000's 2.74 2.91 NA -- -- -- - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Price for Natural Gas Pipeline and Distribution Use Oregon Natural Gas Prices Price for Natural Gas Pipeline and Distribution Use

171

Indiana Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet)  

Gasoline and Diesel Fuel Update (EIA)

Wellhead Price (Dollars per Thousand Cubic Feet) Wellhead Price (Dollars per Thousand Cubic Feet) Indiana Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0.23 0.24 0.23 1970's 0.24 0.25 0.15 0.14 0.14 0.39 0.52 0.69 0.71 1.05 1980's 1.35 2.08 1.55 2.09 3.38 2.51 1.23 1.71 1.57 1.71 1990's 2.01 1.72 2.01 2.09 1.97 1.90 2.30 2.18 2.09 2.19 2000's 3.51 3.28 3.11 5.41 6.30 9.11 6.01 5.78 7.58 4.05 2010's 4.13 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 1/7/2014 Next Release Date: 1/31/2014 Referring Pages: Natural Gas Wellhead Price Indiana Natural Gas Prices

172

Illinois Natural Gas Pipeline and Distribution Use Price (Dollars per  

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

Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet) Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet) Illinois Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0.21 0.20 0.20 1970's 0.21 0.22 0.23 0.27 0.29 0.54 0.58 0.83 0.98 1.11 1980's 1.78 2.12 2.56 3.07 2.88 2.97 2.73 2.68 2.53 2.17 1990's 2.06 2.29 2.44 1.97 1.88 1.66 2.63 2.68 2.27 2.48 2000's 3.12 3.94 NA -- -- -- - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Price for Natural Gas Pipeline and Distribution Use

173

Minnesota Natural Gas Pipeline and Distribution Use Price (Dollars per  

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

Price (Dollars per Thousand Cubic Feet) Price (Dollars per Thousand Cubic Feet) Minnesota Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0.26 0.22 0.22 1970's 0.25 0.25 0.26 0.28 0.33 0.55 0.60 1.24 1.28 2.20 1980's 1.26 4.27 4.43 4.14 3.99 3.45 2.68 2.19 1.81 1.77 1990's 1.89 0.56 0.61 0.47 0.47 0.37 0.68 0.63 0.54 0.82 2000's 1.50 1.40 NA -- -- -- - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Price for Natural Gas Pipeline and Distribution Use Minnesota Natural Gas Prices

174

Missouri Natural Gas Pipeline and Distribution Use Price (Dollars per  

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

Price (Dollars per Thousand Cubic Feet) Price (Dollars per Thousand Cubic Feet) Missouri Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0.20 0.20 0.20 1970's 0.21 0.23 0.25 0.26 0.29 0.39 0.48 0.80 0.87 1.20 1980's 1.71 2.12 2.81 3.04 2.92 2.86 2.61 2.41 2.78 1.94 1990's 1.77 2.05 2.31 2.01 0.91 1.19 2.34 2.43 2.02 2.14 2000's 2.48 4.86 NA -- -- -- - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Price for Natural Gas Pipeline and Distribution Use Missouri Natural Gas Prices Price for Natural Gas Pipeline and Distribution Use

175

Wyoming Natural Gas Pipeline and Distribution Use Price (Dollars per  

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

Price (Dollars per Thousand Cubic Feet) Price (Dollars per Thousand Cubic Feet) Wyoming Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0.14 0.16 0.16 1970's 0.17 0.17 0.18 0.24 0.24 0.51 0.65 0.69 1.36 1.59 1980's 2.05 2.51 2.91 3.05 2.99 2.76 2.56 2.36 2.06 1.88 1990's 1.95 1.85 2.48 1.92 1.52 1.31 1.54 1.84 1.86 1.87 2000's 3.21 3.04 NA -- -- -- - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Price for Natural Gas Pipeline and Distribution Use Wyoming Natural Gas Prices Price for Natural Gas Pipeline and Distribution Use

176

Alaska Natural Gas Pipeline and Distribution Use Price (Dollars per  

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

Price (Dollars per Thousand Cubic Feet) Price (Dollars per Thousand Cubic Feet) Alaska Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 0.26 0.27 0.28 0.28 0.30 0.35 0.57 0.58 0.50 0.14 1980's 0.73 1.13 0.60 0.86 0.61 0.63 0.61 0.65 1.01 1.13 1990's 1.08 1.32 1.12 1.11 1.11 1.24 1.17 1.34 1.23 0.82 2000's 1.34 1.84 NA -- -- -- - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Price for Natural Gas Pipeline and Distribution Use Alaska Natural Gas Prices Price for Natural Gas Pipeline and Distribution Use

177

Georgia Natural Gas Pipeline and Distribution Use Price (Dollars per  

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

Price (Dollars per Thousand Cubic Feet) Price (Dollars per Thousand Cubic Feet) Georgia Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0.19 0.19 0.19 1970's 0.20 0.22 0.23 0.25 0.28 0.32 0.36 0.67 0.90 1.35 1980's 2.10 2.78 3.11 3.22 3.26 3.23 3.32 2.50 2.41 2.69 1990's 2.19 2.08 2.08 2.24 2.14 1.93 2.62 3.09 2.48 2.18 2000's 3.30 4.57 NA -- -- -- - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Price for Natural Gas Pipeline and Distribution Use Georgia Natural Gas Prices Price for Natural Gas Pipeline and Distribution Use

178

Arkansas Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet)  

Gasoline and Diesel Fuel Update (EIA)

Wellhead Price (Dollars per Thousand Cubic Feet) Wellhead Price (Dollars per Thousand Cubic Feet) Arkansas Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0.15 0.16 0.16 1970's 0.16 0.17 0.17 0.18 0.26 0.35 0.53 0.58 0.75 0.96 1980's 0.70 1.81 2.13 2.29 2.54 2.55 2.51 2.29 1.94 2.41 1990's 2.06 1.92 2.15 2.81 2.65 3.02 3.82 4.03 3.92 4.10 2000's 5.23 4.99 4.43 5.17 5.68 7.26 6.43 6.61 8.72 3.43 2010's 3.84 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 1/7/2014 Next Release Date: 1/31/2014 Referring Pages: Natural Gas Wellhead Price Arkansas Natural Gas Prices

179

Connecticut Natural Gas Pipeline and Distribution Use Price (Dollars per  

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

Price (Dollars per Thousand Cubic Feet) Price (Dollars per Thousand Cubic Feet) Connecticut Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0.35 0.68 0.30 1970's 0.32 0.32 0.35 0.40 0.50 0.58 0.59 1.50 2.60 2.53 1980's 2.76 2.94 3.53 3.30 3.18 3.71 2.53 2.52 2.13 2.97 1990's 3.68 3.08 2.95 3.53 2.62 2.20 3.50 1.54 3.00 0.59 2000's 4.82 4.93 NA -- -- -- - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Price for Natural Gas Pipeline and Distribution Use Connecticut Natural Gas Prices

180

Pennsylvania Natural Gas Pipeline and Distribution Use Price (Dollars per  

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

Price (Dollars per Thousand Cubic Feet) Price (Dollars per Thousand Cubic Feet) Pennsylvania Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0.25 0.24 0.24 1970's 0.25 0.29 0.31 0.32 0.40 0.54 0.60 0.92 0.94 1.42 1980's 1.89 2.34 3.02 3.20 3.09 3.06 2.63 2.38 2.36 2.35 1990's 2.57 2.41 2.41 2.83 2.47 2.00 2.71 2.72 2.08 1.97 2000's 3.59 4.76 NA -- -- -- - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Price for Natural Gas Pipeline and Distribution Use Pennsylvania Natural Gas Prices

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181

Nebraska Natural Gas Pipeline and Distribution Use Price (Dollars per  

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

Price (Dollars per Thousand Cubic Feet) Price (Dollars per Thousand Cubic Feet) Nebraska Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0.14 0.15 0.15 1970's 0.16 0.16 0.18 0.19 0.24 0.32 0.42 0.57 0.73 1.10 1980's 1.36 1.81 2.35 2.56 2.55 2.51 2.40 2.20 1.77 1.86 1990's 1.70 1.43 1.54 1.79 1.34 1.33 2.10 2.54 2.01 1.96 2000's 2.81 3.56 NA -- -- -- - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Price for Natural Gas Pipeline and Distribution Use Nebraska Natural Gas Prices Price for Natural Gas Pipeline and Distribution Use

182

Texas Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet)  

Gasoline and Diesel Fuel Update (EIA)

Wellhead Price (Dollars per Thousand Cubic Feet) Wellhead Price (Dollars per Thousand Cubic Feet) Texas Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0.13 0.14 0.14 1970's 0.14 0.16 0.16 0.20 0.31 0.52 0.72 0.90 0.99 1.23 1980's 1.56 1.87 2.17 2.36 2.45 2.33 1.65 1.47 1.51 1.53 1990's 1.57 1.59 1.77 2.09 1.89 1.61 2.29 2.48 2.06 2.31 2000's 3.93 4.12 3.16 5.18 5.83 7.55 6.60 6.98 8.51 3.81 2010's 4.70 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 1/7/2014 Next Release Date: 1/31/2014 Referring Pages: Natural Gas Wellhead Price Texas Natural Gas Prices Natural Gas Wellhead

183

Mississippi Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet)  

Gasoline and Diesel Fuel Update (EIA)

Wellhead Price (Dollars per Thousand Cubic Feet) Wellhead Price (Dollars per Thousand Cubic Feet) Mississippi Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0.17 0.17 0.18 1970's 0.18 0.21 0.27 0.23 0.29 0.50 0.71 0.73 1.15 1.60 1980's 2.32 3.21 3.91 3.78 3.47 3.17 2.13 1.94 1.86 1.97 1990's 1.76 1.66 1.64 1.73 1.49 1.24 1.66 1.73 1.42 1.63 2000's 3.30 3.93 3.06 5.13 5.83 8.54 6.84 6.70 8.80 3.73 2010's 4.17 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 1/7/2014 Next Release Date: 1/31/2014 Referring Pages: Natural Gas Wellhead Price Mississippi Natural Gas Prices

184

Maryland Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet)  

Gasoline and Diesel Fuel Update (EIA)

Wellhead Price (Dollars per Thousand Cubic Feet) Wellhead Price (Dollars per Thousand Cubic Feet) Maryland Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0.26 0.26 0.25 1970's 0.25 0.24 0.21 0.23 0.24 0.27 0.32 0.39 0.61 1.04 1980's 0.46 0.48 0.78 0.55 0.55 0.59 0.65 0.55 0.93 0.85 1990's 1.14 1.55 1.91 2.44 1.37 1.42 2.23 2.60 2.73 2000's 3.75 4.15 5.98 4.50 6.25 7.43 NA NA NA NA 2010's NA - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 1/7/2014 Next Release Date: 1/31/2014 Referring Pages: Natural Gas Wellhead Price Maryland Natural Gas Prices Natural Gas Wellhead

185

Virginia Natural Gas Pipeline and Distribution Use Price (Dollars per  

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

Price (Dollars per Thousand Cubic Feet) Price (Dollars per Thousand Cubic Feet) Virginia Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0.20 0.20 0.20 1970's 0.20 0.22 0.27 0.28 0.31 0.38 0.53 0.81 1.49 1.40 1980's 2.09 2.81 3.33 3.59 3.49 3.35 3.37 2.68 2.59 2.63 1990's 2.05 1.86 1.93 2.27 2.14 1.83 2.60 3.22 2.59 2.20 2000's 2.66 5.05 NA -- -- -- - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Price for Natural Gas Pipeline and Distribution Use Virginia Natural Gas Prices Price for Natural Gas Pipeline and Distribution Use

186

Tennessee Natural Gas Pipeline and Distribution Use Price (Dollars per  

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

Price (Dollars per Thousand Cubic Feet) Price (Dollars per Thousand Cubic Feet) Tennessee Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0.20 0.20 0.20 1970's 0.20 0.22 0.23 0.24 0.28 0.36 0.49 0.73 0.89 1.26 1980's 1.73 2.25 2.96 3.19 2.94 3.01 2.29 1.85 1.78 1.97 1990's 1.94 2.61 2.44 2.23 1.88 1.59 2.57 2.52 2.17 2.04 2000's 3.44 4.13 NA -- -- -- - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Price for Natural Gas Pipeline and Distribution Use Tennessee Natural Gas Prices

187

Indiana Natural Gas Pipeline and Distribution Use Price (Dollars per  

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

Price (Dollars per Thousand Cubic Feet) Price (Dollars per Thousand Cubic Feet) Indiana Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0.20 0.21 0.21 1970's 0.21 0.23 0.25 0.27 0.28 0.38 0.45 0.81 0.86 1.21 1980's 1.73 2.18 2.91 3.21 3.02 3.11 2.78 2.52 2.69 2.17 1990's 2.17 2.46 2.51 1.38 1.03 1.05 2.47 2.58 2.27 2.16 2000's 3.69 4.18 NA -- -- -- - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Price for Natural Gas Pipeline and Distribution Use Indiana Natural Gas Prices Price for Natural Gas Pipeline and Distribution Use

188

The impact of the Euro-dollar market on United States monetary variables  

E-Print Network (OSTI)

of the growth of the Euro-dollar market has been autonomous, the result of deposit-creation by commercial and central banks. The mechanics of Euro-dollar borrowing by U. S. banks is outlined. The impact of the Euro-dollar market on U. S. monetary variables...-banks as Financial Intermediaries Euro-banks as Commercial Banks The Credit and Deposit Multiplier Controversy Conclusion ~ ~ ~ 5 10 16 18 21 26 27 39 IV USES OF EURO-DOLLAR FUNDS Non-bank Uses of Euro-dollar Capital Reporting Area Bank Uses of Euro...

Saylor, Marie Lague

2012-06-07T23:59:59.000Z

189

Sandia National Laboratories: solar forecasting  

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

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

190

Annual Energy Outlook Forecast Evaluation - Tables  

Gasoline and Diesel Fuel Update (EIA)

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

191

On Sequential Probability Forecasting  

E-Print Network (OSTI)

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

McCarl, Bruce A.

192

Annual Energy Outlook 2006 with Projections to 2030 - Forecast Comparisons  

Gasoline and Diesel Fuel Update (EIA)

Forecast Comparisons Forecast Comparisons Annual Energy Outlook 2006 with Projections to 2030 Only GII produces a comprehensive energy projection with a time horizon similar to that of AEO2006. Other organizations address one or more aspects of the energy markets. The most recent projection from GII, as well as others that concentrate on economic growth, international oil prices, energy consumption, electricity, natural gas, petroleum, and coal, are compared here with the AEO2006 projections. Economic Growth In the AEO2006 reference case, the projected growth in real GDP, based on 2000 chain-weighted dollars, is 3.0 percent per year from 2004 to 2030 (Table 19). For the period from 2004 to 2025, real GDP growth in the AEO2006 reference case is similar to the average annual growth projected in AEO2005. The AEO2006 projections of economic growth are based on the August short-term forecast of GII, extended by EIA through 2030 and modified to reflect EIAÂ’s view on energy prices, demand, and production.

193

Annual Energy Outlook Forecast Evaluation  

Gasoline and Diesel Fuel Update (EIA)

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

194

Annual Energy Outlook Forecast Evaluation  

Gasoline and Diesel Fuel Update (EIA)

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

195

,"Price of U.S. Liquefied Natural Gas Imports From Algeria (Dollars...  

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

,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Price of U.S. Liquefied Natural Gas Imports From Algeria (Dollars per Thousand Cubic...

196

,"Price of U.S. Liquefied Natural Gas Imports From Peru (Dollars...  

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

,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Price of U.S. Liquefied Natural Gas Imports From Peru (Dollars per Thousand Cubic...

197

Otter Tail Power Company - Dollar Smart Financing Program | Department of  

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

Loans may not exceed 80% of projects total cost Loans may not exceed 80% of projects total cost General Residential: $7,000 Geothermal for Residential: $20,000 Dual Fuel for Residential: $15,000 General Business: $25,000 Geothermal for Business: $40,000 Program Info State North Dakota Program Type Utility Loan Program Rebate Amount Minimum: $150 Provider Otter Tail Power Company Otter Tail Power Company's Dollar Smart Financing Program offers $150 - $40,000 loans to its residential and business customers. Customers who have satisfactory 12-month payment histories with Otter Tail or another utility may use the 8.5% interest rate loan to finance purchases of new electric technologies. Loans may not exceed 80 percent of the project's total cost, and the maximum residential loan is $7,000 with the exception of geothermal

198

Otter Tail Power Company - Dollar Smart Financing Program | Department of  

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

Residential: $20,000 Residential: $20,000 Commercial: $40,000 Program Info State South Dakota Program Type Utility Loan Program Rebate Amount Residential: $7,000 Residential Geothermal Heat Pump: $15,000 - $20,000 Commercial: $25,000 Commercial Geothermal Heat Pump: $40,000 Provider Otter Tail Power Company Otter Tail Power Company's Dollar Smart Financing Program offers loans of $150 - $40,000 to residential and business customers. Customers who have satisfactory 12-month payment histories with Otter Tail or another utility may use the 8.5% interest rate loan to finance purchases of new electric technologies. Loans may not exceed 80 percent of the project's total cost, and the maximum residential loan is $7,000 with the exception of geothermal heat pump installations and combination electric systems such as a thermal

199

Price forecasting for notebook computers.  

E-Print Network (OSTI)

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

Rutherford, Derek Paul

2012-01-01T23:59:59.000Z

200

Ensemble Forecasts and their Verification  

E-Print Network (OSTI)

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

Maryland at College Park, University of

Note: This page contains sample records for the topic "forecasts current dollars" 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

U.S. Regional Demand Forecasts Using NEMS and GIS  

SciTech Connect

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

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

2005-07-01T23:59:59.000Z

202

Probabilistic manpower forecasting  

E-Print Network (OSTI)

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

Koonce, James Fitzhugh

1966-01-01T23:59:59.000Z

203

Diagnosing Forecast Errors in Tropical Cyclone Motion  

Science Journals Connector (OSTI)

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

Thomas J. Galarneau Jr.; Christopher A. Davis

2013-02-01T23:59:59.000Z

204

Price of U.S. Liquefied Natural Gas Imports From Indonesia (Dollars per  

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

U.S. Liquefied Natural Gas Imports From Indonesia (Dollars per U.S. Liquefied Natural Gas Imports From Indonesia (Dollars per Thousand Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1997 NA NA 2001 -- -- -- -- -- -- -- -- -- -- -- -- 2002 -- -- -- -- -- -- -- -- -- -- -- -- 2003 -- -- -- -- -- -- -- -- -- -- -- -- 2004 -- -- -- -- -- -- -- -- -- -- -- -- 2005 -- -- -- -- -- -- -- -- -- -- -- -- 2006 -- -- -- -- -- -- -- -- -- -- -- -- 2007 -- -- -- -- -- -- -- -- -- -- -- -- 2008 -- -- -- -- -- -- -- -- -- -- -- -- 2009 -- -- -- -- -- -- -- -- -- -- -- -- 2010 -- -- -- -- -- -- -- -- -- -- -- -- 2011 -- -- -- -- -- -- -- -- -- -- -- -- 2012 -- -- -- -- -- -- -- -- -- -- -- --

205

U.S. Nominal Cost per Foot of Dry Wells Drilled (Dollars per...  

Annual Energy Outlook 2012 (EIA)

Dry Wells Drilled (Dollars per Foot) U.S. Nominal Cost per Foot of Dry Wells Drilled (Dollars per Foot) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9...

206

Grant Title: DOLLAR GENERAL LITERACY GRANTS Funding Opportunity Number: N/A  

E-Print Network (OSTI)

Grant Title: DOLLAR GENERAL LITERACY GRANTS Funding Opportunity Number: N/A Agency/Department: Dollar General. Area of Research: Literacy grants. Release and Expiration: N/A Application Deadline: Family Literacy: Annually in March. Adult Literacy Grants: Annually in March. Youth Literacy Grants

Farritor, Shane

207

Japan ready to pay 895 million dollars more to host ITER project: report  

E-Print Network (OSTI)

Japan ready to pay 895 million dollars more to host ITER project: report 26 May 2004 Japan the deadlock between Japan and the European Union over the venue of the International Thermonuclear in the 10-billion-dollar project are the European Union, Japan, China, Russia, South Korea and the United

208

Project Profile: Forecasting and Influencing Technological Progress...  

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

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

209

Forecasting with adaptive extended exponential smoothing  

Science Journals Connector (OSTI)

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

John T. Mentzer Ph.D.

210

Electricity price forecasting in a grid environment.  

E-Print Network (OSTI)

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

Li, Guang, 1974-

2007-01-01T23:59:59.000Z

211

Energy Department Forecasts Geothermal Achievements in 2015 ...  

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

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

212

Annual Energy Outlook Forecast Evaluation  

Gasoline and Diesel Fuel Update (EIA)

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

213

Annual Energy Outlook Forecast Evaluation  

Gasoline and Diesel Fuel Update (EIA)

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

214

Weather-based forecasts of California crop yields  

SciTech Connect

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

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

2005-09-26T23:59:59.000Z

215

Mid-term electricity market clearing price forecasting: A hybrid LSSVM and ARMAX approach  

Science Journals Connector (OSTI)

Abstract A hybrid mid-term electricity market clearing price (MCP) forecasting model combining both least squares support vector machine (LSSVM) and auto-regressive moving average with external input (ARMAX) modules is presented in this paper. Mid-term electricity MCP forecasting has become essential for resources reallocation, maintenance scheduling, bilateral contracting, budgeting and planning purposes. Currently, there are many techniques available for short-term electricity market clearing price (MCP) forecasting, but very little has been done in the area of mid-term electricity MCP forecasting. PJM interconnection data have been utilized to illustrate the proposed model with numerical examples. The proposed hybrid model showed improved forecasting accuracy compared to a forecasting model using a single LSSVM.

Xing Yan; Nurul A. Chowdhury

2013-01-01T23:59:59.000Z

216

Correcting and combining time series forecasters  

Science Journals Connector (OSTI)

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

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

2014-02-01T23:59:59.000Z

217

,"Texas Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet)"  

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

Wellhead Price (Dollars per Thousand Cubic Feet)" Wellhead Price (Dollars per Thousand Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Texas Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet)",1,"Annual",2010 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1140_stx_3a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1140_stx_3a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov"

218

,"Oregon Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet)"  

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

Wellhead Price (Dollars per Thousand Cubic Feet)" Wellhead Price (Dollars per Thousand Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Oregon Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet)",1,"Annual",2010 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1140_sor_3a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1140_sor_3a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov"

219

,"Mississippi Natural Gas Vehicle Fuel Price (Dollars per Thousand Cubic Feet)"  

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

Price (Dollars per Thousand Cubic Feet)" Price (Dollars per Thousand Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Mississippi Natural Gas Vehicle Fuel Price (Dollars per Thousand Cubic Feet)",1,"Annual",2012 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1570_sms_3a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1570_sms_3a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov"

220

,"Michigan Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet)"  

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

Wellhead Price (Dollars per Thousand Cubic Feet)" Wellhead Price (Dollars per Thousand Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Michigan Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet)",1,"Annual",2010 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1140_smi_3a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1140_smi_3a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov"

Note: This page contains sample records for the topic "forecasts current dollars" 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

,"Arkansas Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet)"  

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

Wellhead Price (Dollars per Thousand Cubic Feet)" Wellhead Price (Dollars per Thousand Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Arkansas Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet)",1,"Annual",2010 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1140_sar_3a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1140_sar_3a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov"

222

,"Nebraska Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet)"  

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

Wellhead Price (Dollars per Thousand Cubic Feet)" Wellhead Price (Dollars per Thousand Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Nebraska Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet)",1,"Annual",2010 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1140_sne_3a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1140_sne_3a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov"

223

,"Utah Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet)"  

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

Wellhead Price (Dollars per Thousand Cubic Feet)" Wellhead Price (Dollars per Thousand Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Utah Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet)",1,"Annual",2010 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1140_sut_3a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1140_sut_3a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov"

224

,"California Natural Gas Vehicle Fuel Price (Dollars per Thousand Cubic Feet)"  

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

Price (Dollars per Thousand Cubic Feet)" Price (Dollars per Thousand Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","California Natural Gas Vehicle Fuel Price (Dollars per Thousand Cubic Feet)",1,"Annual",2012 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1570_sca_3a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1570_sca_3a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov"

225

,"South Dakota Natural Gas Vehicle Fuel Price (Dollars per Thousand Cubic Feet)"  

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

Price (Dollars per Thousand Cubic Feet)" Price (Dollars per Thousand Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","South Dakota Natural Gas Vehicle Fuel Price (Dollars per Thousand Cubic Feet)",1,"Annual",2012 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1570_ssd_3a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1570_ssd_3a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov"

226

,"Kentucky Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet)"  

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

Wellhead Price (Dollars per Thousand Cubic Feet)" Wellhead Price (Dollars per Thousand Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Kentucky Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet)",1,"Annual",2010 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1140_sky_3a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1140_sky_3a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov"

227

,"Colorado Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet)"  

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

Wellhead Price (Dollars per Thousand Cubic Feet)" Wellhead Price (Dollars per Thousand Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Colorado Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet)",1,"Annual",2010 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1140_sco_3a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1140_sco_3a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov"

228

,"Missouri Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet)"  

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

Wellhead Price (Dollars per Thousand Cubic Feet)" Wellhead Price (Dollars per Thousand Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Missouri Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet)",1,"Annual",1997 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1140_smo_3a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1140_smo_3a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov"

229

,"Pennsylvania Natural Gas Vehicle Fuel Price (Dollars per Thousand Cubic Feet)"  

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

Price (Dollars per Thousand Cubic Feet)" Price (Dollars per Thousand Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Pennsylvania Natural Gas Vehicle Fuel Price (Dollars per Thousand Cubic Feet)",1,"Annual",2012 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1570_spa_3a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1570_spa_3a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov"

230

,"Iowa Natural Gas Industrial Price (Dollars per Thousand Cubic Feet)"  

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

Price (Dollars per Thousand Cubic Feet)" Price (Dollars per Thousand Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Iowa Natural Gas Industrial Price (Dollars per Thousand Cubic Feet)",1,"Monthly","9/2013" ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","n3035ia3m.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/n3035ia3m.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov"

231

,"Alabama Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet)"  

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

Wellhead Price (Dollars per Thousand Cubic Feet)" Wellhead Price (Dollars per Thousand Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Alabama Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet)",1,"Annual",2010 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1140_sal_3a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1140_sal_3a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov"

232

,"Maryland Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet)"  

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

Wellhead Price (Dollars per Thousand Cubic Feet)" Wellhead Price (Dollars per Thousand Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Maryland Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet)",1,"Annual",2010 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1140_smd_3a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1140_smd_3a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov"

233

,"Oklahoma Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet)"  

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

Wellhead Price (Dollars per Thousand Cubic Feet)" Wellhead Price (Dollars per Thousand Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Oklahoma Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet)",1,"Annual",2010 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1140_sok_3a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1140_sok_3a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov"

234

,"Illinois Natural Gas Industrial Price (Dollars per Thousand Cubic Feet)"  

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

Price (Dollars per Thousand Cubic Feet)" Price (Dollars per Thousand Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Illinois Natural Gas Industrial Price (Dollars per Thousand Cubic Feet)",1,"Monthly","9/2013" ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","n3035il3m.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/n3035il3m.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov"

235

,"Indiana Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet)"  

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

Wellhead Price (Dollars per Thousand Cubic Feet)" Wellhead Price (Dollars per Thousand Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Indiana Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet)",1,"Annual",2010 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1140_sin_3a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1140_sin_3a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov"

236

,"Illinois Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet)"  

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

Wellhead Price (Dollars per Thousand Cubic Feet)" Wellhead Price (Dollars per Thousand Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Illinois Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet)",1,"Annual",2010 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1140_sil_3a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1140_sil_3a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov"

237

,"Washington Natural Gas Vehicle Fuel Price (Dollars per Thousand Cubic Feet)"  

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

Price (Dollars per Thousand Cubic Feet)" Price (Dollars per Thousand Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Washington Natural Gas Vehicle Fuel Price (Dollars per Thousand Cubic Feet)",1,"Annual",2012 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1570_swa_3a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1570_swa_3a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov"

238

,"Pennsylvania Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet)"  

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

Wellhead Price (Dollars per Thousand Cubic Feet)" Wellhead Price (Dollars per Thousand Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Pennsylvania Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet)",1,"Annual",2010 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1140_spa_3a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1140_spa_3a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov"

239

,"Minnesota Natural Gas Vehicle Fuel Price (Dollars per Thousand Cubic Feet)"  

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

Price (Dollars per Thousand Cubic Feet)" Price (Dollars per Thousand Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Minnesota Natural Gas Vehicle Fuel Price (Dollars per Thousand Cubic Feet)",1,"Annual",2012 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1570_smn_3a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1570_smn_3a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov"

240

,"Arizona Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet)"  

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

Wellhead Price (Dollars per Thousand Cubic Feet)" Wellhead Price (Dollars per Thousand Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Arizona Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet)",1,"Annual",2010 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1140_saz_3a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1140_saz_3a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov"

Note: This page contains sample records for the topic "forecasts current dollars" 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

,"Florida Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet)"  

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

Wellhead Price (Dollars per Thousand Cubic Feet)" Wellhead Price (Dollars per Thousand Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Florida Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet)",1,"Annual",2010 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1140_sfl_3a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1140_sfl_3a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov"

242

,"South Dakota Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet)"  

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

Wellhead Price (Dollars per Thousand Cubic Feet)" Wellhead Price (Dollars per Thousand Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","South Dakota Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet)",1,"Annual",2010 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1140_ssd_3a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1140_ssd_3a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov"

243

,"Mississippi Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet)"  

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

Wellhead Price (Dollars per Thousand Cubic Feet)" Wellhead Price (Dollars per Thousand Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Mississippi Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet)",1,"Annual",2010 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1140_sms_3a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1140_sms_3a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov"

244

,"Louisiana Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet)"  

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

Wellhead Price (Dollars per Thousand Cubic Feet)" Wellhead Price (Dollars per Thousand Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Louisiana Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet)",1,"Annual",2010 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1140_sla_3a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1140_sla_3a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov"

245

,"Massachusetts Natural Gas Vehicle Fuel Price (Dollars per Thousand Cubic Feet)"  

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

Price (Dollars per Thousand Cubic Feet)" Price (Dollars per Thousand Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Massachusetts Natural Gas Vehicle Fuel Price (Dollars per Thousand Cubic Feet)",1,"Annual",2012 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1570_sma_3a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1570_sma_3a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov"

246

,"Wisconsin Natural Gas Vehicle Fuel Price (Dollars per Thousand Cubic Feet)"  

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

Price (Dollars per Thousand Cubic Feet)" Price (Dollars per Thousand Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Wisconsin Natural Gas Vehicle Fuel Price (Dollars per Thousand Cubic Feet)",1,"Annual",2012 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1570_swi_3a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1570_swi_3a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov"

247

,"Alaska Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet)"  

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

Wellhead Price (Dollars per Thousand Cubic Feet)" Wellhead Price (Dollars per Thousand Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Alaska Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet)",1,"Annual",2010 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1140_sak_3a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1140_sak_3a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov"

248

,"Ohio Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet)"  

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

Wellhead Price (Dollars per Thousand Cubic Feet)" Wellhead Price (Dollars per Thousand Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Ohio Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet)",1,"Annual",2010 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1140_soh_3a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1140_soh_3a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov"

249

,"California Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet)"  

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

Wellhead Price (Dollars per Thousand Cubic Feet)" Wellhead Price (Dollars per Thousand Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","California Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet)",1,"Annual",2010 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1140_sca_3a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1140_sca_3a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov"

250

,"Wyoming Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet)"  

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

Wellhead Price (Dollars per Thousand Cubic Feet)" Wellhead Price (Dollars per Thousand Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Wyoming Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet)",1,"Annual",2010 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1140_swy_3a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1140_swy_3a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov"

251

,"Kansas Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet)"  

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

Wellhead Price (Dollars per Thousand Cubic Feet)" Wellhead Price (Dollars per Thousand Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Kansas Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet)",1,"Annual",2010 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1140_sks_3a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1140_sks_3a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov"

252

,"Montana Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet)"  

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

Wellhead Price (Dollars per Thousand Cubic Feet)" Wellhead Price (Dollars per Thousand Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Montana Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet)",1,"Annual",2010 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1140_smt_3a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1140_smt_3a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov"

253

,"Tennessee Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet)"  

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

Wellhead Price (Dollars per Thousand Cubic Feet)" Wellhead Price (Dollars per Thousand Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Tennessee Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet)",1,"Annual",2010 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1140_stn_3a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1140_stn_3a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov"

254

,"South Carolina Natural Gas Vehicle Fuel Price (Dollars per Thousand Cubic Feet)"  

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

Price (Dollars per Thousand Cubic Feet)" Price (Dollars per Thousand Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","South Carolina Natural Gas Vehicle Fuel Price (Dollars per Thousand Cubic Feet)",1,"Annual",2012 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1570_ssc_3a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1570_ssc_3a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov"

255

,"Louisiana Natural Gas Vehicle Fuel Price (Dollars per Thousand Cubic Feet)"  

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

Price (Dollars per Thousand Cubic Feet)" Price (Dollars per Thousand Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Louisiana Natural Gas Vehicle Fuel Price (Dollars per Thousand Cubic Feet)",1,"Annual",2012 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1570_sla_3a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1570_sla_3a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov"

256

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

E-Print Network (OSTI)

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

257

Forecast Energy | Open Energy Information  

Open Energy Info (EERE)

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

258

Price forecasting for notebook computers  

E-Print Network (OSTI)

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

Rutherford, Derek Paul

2012-06-07T23:59:59.000Z

259

Forecasting phenology under global warming  

Science Journals Connector (OSTI)

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

2010-01-01T23:59:59.000Z

260

Demand Forecasting of New Products  

E-Print Network (OSTI)

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

Sun, Yu

Note: This page contains sample records for the topic "forecasts current dollars" 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

Otter Tail Power Company - DollarSmart Energy Efficiency Loan Program |  

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

Otter Tail Power Company - DollarSmart Energy Efficiency Loan Otter Tail Power Company - DollarSmart Energy Efficiency Loan Program Otter Tail Power Company - DollarSmart Energy Efficiency Loan Program < Back Eligibility Agricultural Commercial Industrial Residential Savings Category Other Heating & Cooling Commercial Heating & Cooling Heating Cooling Home Weatherization Commercial Weatherization Sealing Your Home Ventilation Heat Pumps Appliances & Electronics Commercial Lighting Lighting Manufacturing Water Heating Maximum Rebate Residential: $20,000 Business: $100,000 Loans may not exceed 80% of the project's total cost Program Info State Minnesota Program Type Utility Loan Program Rebate Amount Residential: $150 - $20,000 Business: $150 - $100,000 Provider Otter Tail Power Company Otter Tail Power Company's DollarSmart Financing Program offers $150 -

262

Historical changes in US dollar exchange rate and real value of oil  

SciTech Connect

Oil prices relative to world currencies are now at unprecedented lows, as shown by a price analysis that incorporates the effect of US dollar exchange rates on the value of oil. A commodity-based analysis corroborates this exchange-rate analysis. The value of oil today on world markets is even below its 1969 level (the nadir of the previous oil bust). The inflation-corrected price of oil (using the producer price index) in the US has increased 130% since 1969. However, the US dollar has lost over 40% of its value relative to G-7 currencies since abandonment of the Bretton Woods agreement in 1971. Therefore, the real value of oil an international markets is 20% below its 1969 level. Since 1988 alone, the dollar has lost 16% relative to the G-7 currencies. Oil producing countries are taking extreme revenue cuts caused by the eroding US dollar.

DeMis, W.D. (Marathon Oil Co., Midland, TX (United States))

1996-01-01T23:59:59.000Z

263

Historical changes in US dollar exchange rate and real value of oil  

SciTech Connect

Oil prices relative to world currencies are now at unprecedented lows, as shown by a price analysis that incorporates the effect of US dollar exchange rates on the value of oil. A commodity-based analysis corroborates this exchange-rate analysis. The value of oil today on world markets is even below its 1969 level (the nadir of the previous oil bust). The inflation-corrected price of oil (using the producer price index) in the US has increased 130% since 1969. However, the US dollar has lost over 40% of its value relative to G-7 currencies since abandonment of the Bretton Woods agreement in 1971. Therefore, the real value of oil an international markets is 20% below its 1969 level. Since 1988 alone, the dollar has lost 16% relative to the G-7 currencies. Oil producing countries are taking extreme revenue cuts caused by the eroding US dollar.

DeMis, W.D. [Marathon Oil Co., Midland, TX (United States)

1996-12-31T23:59:59.000Z

264

,"Price of U.S. Liquefied Natural Gas Imports From Egypt (Dollars...  

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

PM" "Back to Contents","Data 1: Price of U.S. Liquefied Natural Gas Imports From Egypt (Dollars per Thousand Cubic Feet)" "Sourcekey","N9103EG3" "Date","Price of U.S....

265

,"U.S. Natural Gas Electric Power Price (Dollars per Thousand...  

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

,,"(202) 586-8800",,,"1302015 12:55:12 PM" "Back to Contents","Data 1: U.S. Natural Gas Electric Power Price (Dollars per Thousand Cubic Feet)" "Sourcekey","N3045US3"...

266

,"Price of U.S. Natural Gas Pipeline Imports From Canada (Dollars...  

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

Of Series","Frequency","Latest Data for" ,"Data 1","Price of U.S. Natural Gas Pipeline Imports From Canada (Dollars per Thousand Cubic Feet)",1,"Monthly","72014" ,"Release...

267

,"U.S. Natural Gas Pipeline Imports Price (Dollars per Thousand...  

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

586-8800",,,"9262014 4:20:00 PM" "Back to Contents","Data 1: U.S. Natural Gas Pipeline Imports Price (Dollars per Thousand Cubic Feet)" "Sourcekey","N9102US3" "Date","U.S....

268

,"U.S. Natural Gas Pipeline Imports Price (Dollars per Thousand...  

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

586-8800",,,"9262014 4:19:59 PM" "Back to Contents","Data 1: U.S. Natural Gas Pipeline Imports Price (Dollars per Thousand Cubic Feet)" "Sourcekey","N9102US3" "Date","U.S....

269

Increasing NOAA's computational capacity to improve global forecast modeling  

E-Print Network (OSTI)

competing numerical weather prediction centers such as the European Center for MediumRange Weather Forecasts (ECMWF). For most sensibleweather metrics, we lag 1 to 1.5 days (i.e., they make a 3.5day of NOAA's current investment in weather satellites. Without a modern data assimilation system

Hamill, Tom

270

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

E-Print Network (OSTI)

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

Goto, Susumu

2007-01-01T23:59:59.000Z

271

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

Office of Environmental Management (EM)

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

272

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

E-Print Network (OSTI)

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

Sakauchi, Tsuginosuke

2011-01-01T23:59:59.000Z

273

Solar Energy Market Forecast | Open Energy Information  

Open Energy Info (EERE)

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

274

Summary Verification Measures and Their Interpretation for Ensemble Forecasts  

Science Journals Connector (OSTI)

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

A. Allen Bradley; Stuart S. Schwartz

2011-09-01T23:59:59.000Z

275

Annual Energy Outlook Forecast Evaluation  

Gasoline and Diesel Fuel Update (EIA)

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

276

Aggregate vehicle travel forecasting model  

SciTech Connect

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

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

1995-05-01T23:59:59.000Z

277

Communication of uncertainty in temperature forecasts  

Science Journals Connector (OSTI)

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

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

278

FORECASTING THE ROLE OF RENEWABLES IN HAWAII  

E-Print Network (OSTI)

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

Sathaye, Jayant

2013-01-01T23:59:59.000Z

279

Antarctic Satellite Meteorology: Applications for Weather Forecasting  

Science Journals Connector (OSTI)

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

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

2003-02-01T23:59:59.000Z

280

Forecasting Water Use in Texas Cities  

E-Print Network (OSTI)

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

Shaw, Douglas T.; Maidment, David R.

Note: This page contains sample records for the topic "forecasts current dollars" 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

Energy demand forecasting: industry practices and challenges  

Science Journals Connector (OSTI)

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

Mathieu Sinn

2014-06-01T23:59:59.000Z

282

Consensus Coal Production And Price Forecast For  

E-Print Network (OSTI)

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

Mohaghegh, Shahab

283

Load Forecasting of Supermarket Refrigeration  

E-Print Network (OSTI)

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

284

Essays on macroeconomics and forecasting  

E-Print Network (OSTI)

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

Liu, Dandan

2006-10-30T23:59:59.000Z

285

,"Utah Natural Gas Vehicle Fuel Price (Dollars per Thousand Cubic Feet)"  

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

Price (Dollars per Thousand Cubic Feet)" Price (Dollars per Thousand Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Utah Natural Gas Vehicle Fuel Price (Dollars per Thousand Cubic Feet)",1,"Annual",2012 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1570_sut_3a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1570_sut_3a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/12/2013 5:52:03 PM"

286

,"U.S. Natural Gas Vehicle Fuel Price (Dollars per Thousand Cubic Feet)"  

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

Price (Dollars per Thousand Cubic Feet)" Price (Dollars per Thousand Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","U.S. Natural Gas Vehicle Fuel Price (Dollars per Thousand Cubic Feet)",1,"Annual",2012 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1570_nus_3a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1570_nus_3a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/12/2013 5:51:03 PM"

287

,"Indiana Natural Gas Vehicle Fuel Price (Dollars per Thousand Cubic Feet)"  

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

Price (Dollars per Thousand Cubic Feet)" Price (Dollars per Thousand Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Indiana Natural Gas Vehicle Fuel Price (Dollars per Thousand Cubic Feet)",1,"Annual",2012 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1570_sin_3a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1570_sin_3a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/12/2013 5:51:23 PM"

288

,"Colorado Natural Gas Vehicle Fuel Price (Dollars per Thousand Cubic Feet)"  

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

Price (Dollars per Thousand Cubic Feet)" Price (Dollars per Thousand Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Colorado Natural Gas Vehicle Fuel Price (Dollars per Thousand Cubic Feet)",1,"Annual",2012 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1570_sco_3a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1570_sco_3a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/12/2013 5:51:10 PM"

289

,"Maine Natural Gas Imports Price (Dollars per Thousand Cubic Feet)"  

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

Price (Dollars per Thousand Cubic Feet)" Price (Dollars per Thousand Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Maine Natural Gas Imports Price (Dollars per Thousand Cubic Feet)",1,"Annual",2012 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1274_sme_3a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1274_sme_3a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/12/2013 5:40:04 PM"

290

Save Some Green--Grass AND Dollars--with These Lawn Care Tips | Department  

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

Save Some Green--Grass AND Dollars--with These Lawn Care Tips Save Some Green--Grass AND Dollars--with These Lawn Care Tips Save Some Green--Grass AND Dollars--with These Lawn Care Tips August 3, 2009 - 10:38am Addthis Chris Stewart Senior Communicator at DOE's National Renewable Energy Laboratory Especially for home owners who have automatic sprinkler systems, it's easy to forget that regular summer watering uses a tremendous amount of water and can contribute to higher than necessary water bills. Consider these easy tips for saving money and water when caring for your lawn: Water only when your lawn needs it. The rule of thumb is that your lawn needs one inch of water per week. If you walk across your lawn and leave footprints, it's time to water. Or you can use a screwdriver as a probe to test soil moisture. If it goes in easily, don't water.

291

,"Oklahoma Natural Gas Vehicle Fuel Price (Dollars per Thousand Cubic Feet)"  

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

Price (Dollars per Thousand Cubic Feet)" Price (Dollars per Thousand Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Oklahoma Natural Gas Vehicle Fuel Price (Dollars per Thousand Cubic Feet)",1,"Annual",2012 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1570_sok_3a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1570_sok_3a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/12/2013 5:51:51 PM"

292

,"Virginia Natural Gas Vehicle Fuel Price (Dollars per Thousand Cubic Feet)"  

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

Price (Dollars per Thousand Cubic Feet)" Price (Dollars per Thousand Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Virginia Natural Gas Vehicle Fuel Price (Dollars per Thousand Cubic Feet)",1,"Annual",2012 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1570_sva_3a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1570_sva_3a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/12/2013 5:52:04 PM"

293

Commercial Ethanol Turns Dross to Dollars for Rural Iowans | Department of  

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

Commercial Ethanol Turns Dross to Dollars for Rural Iowans Commercial Ethanol Turns Dross to Dollars for Rural Iowans Commercial Ethanol Turns Dross to Dollars for Rural Iowans September 28, 2011 - 3:23pm Addthis American farmers harvest 80 million acres of corn each autumn. The corn stover usually left on a hewn field can be processed into a renewable transportation fuel called bioethanol. | Image courtesy of POET American farmers harvest 80 million acres of corn each autumn. The corn stover usually left on a hewn field can be processed into a renewable transportation fuel called bioethanol. | Image courtesy of POET Michael Hess Michael Hess Former Digital Communications Specialist, Office of Public Affairs What are the key facts? Farmers, truck operators, farm equipment distributors and agricultural laborers all benefit from the emerging bioethanol market in

294

Solving the Mystery of the Billion-Dollar Bond, Double Bond | Department of  

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

Solving the Mystery of the Billion-Dollar Bond, Double Bond Solving the Mystery of the Billion-Dollar Bond, Double Bond Solving the Mystery of the Billion-Dollar Bond, Double Bond October 26, 2011 - 4:56pm Addthis John Shanklin, biochemist at Brookhaven National Laboratory, and Ed Whittle, research assistant in Shanklin's lab, with a fatty acid molecule model and plant seeds and casings in the foreground. | Courtesy of Brookhaven National Laboratory John Shanklin, biochemist at Brookhaven National Laboratory, and Ed Whittle, research assistant in Shanklin's lab, with a fatty acid molecule model and plant seeds and casings in the foreground. | Courtesy of Brookhaven National Laboratory Charles Rousseaux Charles Rousseaux Senior Writer, Office of Science What are the key facts? Understanding how proteins exert precise control over double bond

295

Commercial Ethanol Turns Dross to Dollars for Rural Iowans | Department of  

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

Commercial Ethanol Turns Dross to Dollars for Rural Iowans Commercial Ethanol Turns Dross to Dollars for Rural Iowans Commercial Ethanol Turns Dross to Dollars for Rural Iowans September 28, 2011 - 3:23pm Addthis American farmers harvest 80 million acres of corn each autumn. The corn stover usually left on a hewn field can be processed into a renewable transportation fuel called bioethanol. | Image courtesy of POET American farmers harvest 80 million acres of corn each autumn. The corn stover usually left on a hewn field can be processed into a renewable transportation fuel called bioethanol. | Image courtesy of POET Michael Hess Michael Hess Former Digital Communications Specialist, Office of Public Affairs What are the key facts? Farmers, truck operators, farm equipment distributors and agricultural laborers all benefit from the emerging bioethanol market in

296

Regional Super ESPC Saves Energy and Dollars at NASA Johnson Space Center |  

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

Regional Super ESPC Saves Energy and Dollars at NASA Johnson Space Regional Super ESPC Saves Energy and Dollars at NASA Johnson Space Center Regional Super ESPC Saves Energy and Dollars at NASA Johnson Space Center October 7, 2013 - 1:57pm Addthis Space Shuttle Endeavour, 2002 The NASA Johnson Space Flight Center in Houston is well known for its achievements in the U.S. space program (this 2002 photo shows the Space Shuttle Endeavour on its way to the International Space Station). Overview NASA will save approximately $43 million in facility operations costs over the next 23 years at the Johnson Space Flight Center (JSC) in Houston, Texas, thanks to the largest delivery order signed to date under a Regional Super Energy Savings Performance Contract (Super ESPC). The U. S. Department of Energy's Federal Energy Management Program (FEMP) instituted

297

,"Wyoming Natural Gas Vehicle Fuel Price (Dollars per Thousand Cubic Feet)"  

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

Price (Dollars per Thousand Cubic Feet)" Price (Dollars per Thousand Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Wyoming Natural Gas Vehicle Fuel Price (Dollars per Thousand Cubic Feet)",1,"Annual",2012 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1570_swy_3a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1570_swy_3a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/12/2013 5:52:09 PM"

298

,"Idaho Natural Gas Vehicle Fuel Price (Dollars per Thousand Cubic Feet)"  

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

Price (Dollars per Thousand Cubic Feet)" Price (Dollars per Thousand Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Idaho Natural Gas Vehicle Fuel Price (Dollars per Thousand Cubic Feet)",1,"Annual",2012 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1570_sid_3a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1570_sid_3a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/12/2013 5:51:20 PM"

299

,"Minnesota Natural Gas Imports Price (Dollars per Thousand Cubic Feet)"  

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

Price (Dollars per Thousand Cubic Feet)" Price (Dollars per Thousand Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Minnesota Natural Gas Imports Price (Dollars per Thousand Cubic Feet)",1,"Annual",2012 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1274_smn_3a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1274_smn_3a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/12/2013 5:40:06 PM"

300

,"Arkansas Natural Gas Vehicle Fuel Price (Dollars per Thousand Cubic Feet)"  

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

Price (Dollars per Thousand Cubic Feet)" Price (Dollars per Thousand Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Arkansas Natural Gas Vehicle Fuel Price (Dollars per Thousand Cubic Feet)",1,"Annual",2012 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1570_sar_3a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1570_sar_3a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/12/2013 5:51:06 PM"

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


301

,"Massachusetts Natural Gas Imports Price (Dollars per Thousand Cubic Feet)"  

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

Price (Dollars per Thousand Cubic Feet)" Price (Dollars per Thousand Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Massachusetts Natural Gas Imports Price (Dollars per Thousand Cubic Feet)",1,"Annual",2012 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1274_sma_3a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1274_sma_3a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/12/2013 5:40:03 PM"

302

,"Weekly Henry Hub Natural Gas Spot Price (Dollars per Million Btu)"  

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

Henry Hub Natural Gas Spot Price (Dollars per Million Btu)" Henry Hub Natural Gas Spot Price (Dollars per Million Btu)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Weekly Henry Hub Natural Gas Spot Price (Dollars per Million Btu)",1,"Weekly","12/13/2013" ,"Release Date:","12/18/2013" ,"Next Release Date:","12/27/2013" ,"Excel File Name:","rngwhhdw.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/rngwhhdw.htm" ,"Source:" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/18/2013 12:22:22 PM"

303

,"Michigan Natural Gas Vehicle Fuel Price (Dollars per Thousand Cubic Feet)"  

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

Price (Dollars per Thousand Cubic Feet)" Price (Dollars per Thousand Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Michigan Natural Gas Vehicle Fuel Price (Dollars per Thousand Cubic Feet)",1,"Annual",2012 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1570_smi_3a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1570_smi_3a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/12/2013 5:51:32 PM"

304

,"Kentucky Natural Gas Vehicle Fuel Price (Dollars per Thousand Cubic Feet)"  

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

Price (Dollars per Thousand Cubic Feet)" Price (Dollars per Thousand Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Kentucky Natural Gas Vehicle Fuel Price (Dollars per Thousand Cubic Feet)",1,"Annual",2012 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1570_sky_3a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1570_sky_3a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/12/2013 5:51:26 PM"

305

,"Delaware Natural Gas Vehicle Fuel Price (Dollars per Thousand Cubic Feet)"  

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

Price (Dollars per Thousand Cubic Feet)" Price (Dollars per Thousand Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Delaware Natural Gas Vehicle Fuel Price (Dollars per Thousand Cubic Feet)",1,"Annual",2012 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1570_sde_3a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1570_sde_3a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/12/2013 5:51:13 PM"

306

,"Montana Natural Gas Imports Price (Dollars per Thousand Cubic Feet)"  

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

Price (Dollars per Thousand Cubic Feet)" Price (Dollars per Thousand Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Montana Natural Gas Imports Price (Dollars per Thousand Cubic Feet)",1,"Annual",2012 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1274_smt_3a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1274_smt_3a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/12/2013 5:40:07 PM"

307

,"Florida Natural Gas Vehicle Fuel Price (Dollars per Thousand Cubic Feet)"  

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

Price (Dollars per Thousand Cubic Feet)" Price (Dollars per Thousand Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Florida Natural Gas Vehicle Fuel Price (Dollars per Thousand Cubic Feet)",1,"Annual",2012 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1570_sfl_3a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1570_sfl_3a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/12/2013 5:51:15 PM"

308

,"Michigan Natural Gas Imports Price (Dollars per Thousand Cubic Feet)"  

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

Price (Dollars per Thousand Cubic Feet)" Price (Dollars per Thousand Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Michigan Natural Gas Imports Price (Dollars per Thousand Cubic Feet)",1,"Annual",2012 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1274_smi_3a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1274_smi_3a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/12/2013 5:40:05 PM"

309

,"Georgia Natural Gas Vehicle Fuel Price (Dollars per Thousand Cubic Feet)"  

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

Price (Dollars per Thousand Cubic Feet)" Price (Dollars per Thousand Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Georgia Natural Gas Vehicle Fuel Price (Dollars per Thousand Cubic Feet)",1,"Annual",2012 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1570_sga_3a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1570_sga_3a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/12/2013 5:51:16 PM"

310

,"Arizona Natural Gas Vehicle Fuel Price (Dollars per Thousand Cubic Feet)"  

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

Price (Dollars per Thousand Cubic Feet)" Price (Dollars per Thousand Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Arizona Natural Gas Vehicle Fuel Price (Dollars per Thousand Cubic Feet)",1,"Annual",2012 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1570_saz_3a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1570_saz_3a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/12/2013 5:51:08 PM"

311

,"Montana Natural Gas Vehicle Fuel Price (Dollars per Thousand Cubic Feet)"  

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

Price (Dollars per Thousand Cubic Feet)" Price (Dollars per Thousand Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Montana Natural Gas Vehicle Fuel Price (Dollars per Thousand Cubic Feet)",1,"Annual",2012 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1570_smt_3a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1570_smt_3a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/12/2013 5:51:37 PM"

312

,"Louisiana Natural Gas Imports Price (Dollars per Thousand Cubic Feet)"  

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

Price (Dollars per Thousand Cubic Feet)" Price (Dollars per Thousand Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Louisiana Natural Gas Imports Price (Dollars per Thousand Cubic Feet)",1,"Annual",2012 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1274_sla_3a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1274_sla_3a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/12/2013 5:40:02 PM"

313

,"Texas Natural Gas Vehicle Fuel Price (Dollars per Thousand Cubic Feet)"  

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

Price (Dollars per Thousand Cubic Feet)" Price (Dollars per Thousand Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Texas Natural Gas Vehicle Fuel Price (Dollars per Thousand Cubic Feet)",1,"Annual",2012 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1570_stx_3a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1570_stx_3a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/12/2013 5:52:01 PM"

314

,"Nevada Natural Gas Vehicle Fuel Price (Dollars per Thousand Cubic Feet)"  

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

Price (Dollars per Thousand Cubic Feet)" Price (Dollars per Thousand Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Nevada Natural Gas Vehicle Fuel Price (Dollars per Thousand Cubic Feet)",1,"Annual",2012 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1570_snv_3a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1570_snv_3a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/12/2013 5:51:47 PM"

315

,"Ohio Natural Gas Vehicle Fuel Price (Dollars per Thousand Cubic Feet)"  

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

Price (Dollars per Thousand Cubic Feet)" Price (Dollars per Thousand Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Ohio Natural Gas Vehicle Fuel Price (Dollars per Thousand Cubic Feet)",1,"Annual",2012 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1570_soh_3a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1570_soh_3a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/12/2013 5:51:50 PM"

316

,"Missouri Natural Gas Vehicle Fuel Price (Dollars per Thousand Cubic Feet)"  

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

Price (Dollars per Thousand Cubic Feet)" Price (Dollars per Thousand Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Missouri Natural Gas Vehicle Fuel Price (Dollars per Thousand Cubic Feet)",1,"Annual",2012 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1570_smo_3a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1570_smo_3a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/12/2013 5:51:34 PM"

317

,"Idaho Natural Gas Imports Price (Dollars per Thousand Cubic Feet)"  

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

Price (Dollars per Thousand Cubic Feet)" Price (Dollars per Thousand Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Idaho Natural Gas Imports Price (Dollars per Thousand Cubic Feet)",1,"Annual",2012 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1274_sid_3a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1274_sid_3a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/12/2013 5:40:02 PM"

318

,"Oregon Natural Gas Vehicle Fuel Price (Dollars per Thousand Cubic Feet)"  

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

Price (Dollars per Thousand Cubic Feet)" Price (Dollars per Thousand Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Oregon Natural Gas Vehicle Fuel Price (Dollars per Thousand Cubic Feet)",1,"Annual",2012 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1570_sor_3a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1570_sor_3a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/12/2013 5:51:52 PM"

319

The Wind Forecast Improvement Project (WFIP): A Public/Private Partnership for Improving Short Term Wind Energy Forecasts and Quantifying the Benefits of Utility Operations – the Northern Study Area.  

SciTech Connect

This report contains the results from research aimed at improving short-range (0-6 hour) hub-height wind forecasts in the NOAA weather forecast models through additional data assimilation and model physics improvements for use in wind energy forecasting. Additional meteorological observing platforms including wind profilers, sodars, and surface stations were deployed for this study by NOAA and DOE, and additional meteorological data at or near wind turbine hub height were provided by South Dakota State University and WindLogics/NextEra Energy Resources over a large geographical area in the U.S. Northern Plains for assimilation into NOAA research weather forecast models. The resulting improvements in wind energy forecasts based on the research weather forecast models (with the additional data assimilation and model physics improvements) were examined in many different ways and compared with wind energy forecasts based on the current operational weather forecast models to quantify the forecast improvements important to power grid system operators and wind plant owners/operators participating in energy markets. Two operational weather forecast models (OP_RUC, OP_RAP) and two research weather forecast models (ESRL_RAP, HRRR) were used as the base wind forecasts for generating several different wind power forecasts for the NextEra Energy wind plants in the study area. Power forecasts were generated from the wind forecasts in a variety of ways, from very simple to quite sophisticated, as they might be used by a wide range of both general users and commercial wind energy forecast vendors. The error characteristics of each of these types of forecasts were examined and quantified using bulk error statistics for both the local wind plant and the system aggregate forecasts. The wind power forecast accuracy was also evaluated separately for high-impact wind energy ramp events. The overall bulk error statistics calculated over the first six hours of the forecasts at both the individual wind plant and at the system-wide aggregate level over the one year study period showed that the research weather model-based power forecasts (all types) had lower overall error rates than the current operational weather model-based power forecasts, both at the individual wind plant level and at the system aggregate level. The bulk error statistics of the various model-based power forecasts were also calculated by season and model runtime/forecast hour as power system operations are more sensitive to wind energy forecast errors during certain times of year and certain times of day. The results showed that there were significant differences in seasonal forecast errors between the various model-based power forecasts. The results from the analysis of the various wind power forecast errors by model runtime and forecast hour showed that the forecast errors were largest during the times of day that have increased significance to power system operators (the overnight hours and the morning/evening boundary layer transition periods), but the research weather model-based power forecasts showed improvement over the operational weather model-based power forecasts at these times. A comprehensive analysis of wind energy forecast errors for the various model-based power forecasts was presented for a suite of wind energy ramp definitions. The results compiled over the year-long study period showed that the power forecasts based on the research models (ESRL_RAP, HRRR) more accurately predict wind energy ramp events than the current operational forecast models, both at the system aggregate level and at the local wind plant level. At the system level, the ESRL_RAP-based forecasts most accurately predict both the total number of ramp events and the occurrence of the events themselves, but the HRRR-based forecasts more accurately predict the ramp rate. At the individual site level, the HRRR-based forecasts most accurately predicted the actual ramp occurrence, the total number of ramps and the ramp rates (40-60% improvement in ramp rates over the coarser resolution forecast

Finley, Cathy [WindLogics

2014-04-30T23:59:59.000Z

320

Revenue from Retail Sales of Electricity (Thousands Dollars) by State by Provide  

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

Revenue from Retail Sales of Electricity (Thousands Dollars) by State by Provider, 1990-2012" Revenue from Retail Sales of Electricity (Thousands Dollars) by State by Provider, 1990-2012" "Year","State","Industry Sector Category","Residential","Commercial","Industrial","Transportation","Other","Total" 2012,"AK","Total Electric Industry",386304,429152,232325,0,"NA",1047781 2012,"AL","Total Electric Industry",3491380,2318146,2100936,0,"NA",7910462 2012,"AR","Total Electric Industry",1664696,933567,971266,52,"NA",3569581 2012,"AZ","Total Electric Industry",3718357,2829551,813094,0,"NA",7361001 2012,"CA","Total Electric Industry",13821565,16327164,4925482,49095,"NA",35123306

Note: This page contains sample records for the topic "forecasts current dollars" 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

Annual Energy Outlook 1998 Forecasts - Preface  

Gasoline and Diesel Fuel Update (EIA)

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

322

Annual Energy Outlook Forecast Evaluation - Tables  

Gasoline and Diesel Fuel Update (EIA)

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

323

Review of Wind Energy Forecasting Methods for Modeling Ramping Events  

SciTech Connect

Tall onshore wind turbines, with hub heights between 80 m and 100 m, can extract large amounts of energy from the atmosphere since they generally encounter higher wind speeds, but they face challenges given the complexity of boundary layer flows. This complexity of the lowest layers of the atmosphere, where wind turbines reside, has made conventional modeling efforts less than ideal. To meet the nation's goal of increasing wind power into the U.S. electrical grid, the accuracy of wind power forecasts must be improved. In this report, the Lawrence Livermore National Laboratory, in collaboration with the University of Colorado at Boulder, University of California at Berkeley, and Colorado School of Mines, evaluates innovative approaches to forecasting sudden changes in wind speed or 'ramping events' at an onshore, multimegawatt wind farm. The forecast simulations are compared to observations of wind speed and direction from tall meteorological towers and a remote-sensing Sound Detection and Ranging (SODAR) instrument. Ramping events, i.e., sudden increases or decreases in wind speed and hence, power generated by a turbine, are especially problematic for wind farm operators. Sudden changes in wind speed or direction can lead to large power generation differences across a wind farm and are very difficult to predict with current forecasting tools. Here, we quantify the ability of three models, mesoscale WRF, WRF-LES, and PF.WRF, which vary in sophistication and required user expertise, to predict three ramping events at a North American wind farm.

Wharton, S; Lundquist, J K; Marjanovic, N; Williams, J L; Rhodes, M; Chow, T K; Maxwell, R

2011-03-28T23:59:59.000Z

324

Home visiting yields as much as $5.70 for every dollar spent! 4  

E-Print Network (OSTI)

Home visiting yields as much as $5.70 for every dollar spent! 4 Home Why Florida Needs Home and specialized out-of-home care. Home visiting is an evidence-based strategy that can prevent these types the services. · Home visiting could improve Florida's low rank on child well-being. · Home visiting will save

Weston, Ken

325

Forecasting wind speed financial return  

E-Print Network (OSTI)

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

D'Amico, Guglielmo; Prattico, Flavio

2013-01-01T23:59:59.000Z

326

An Optimized Autoregressive Forecast Error Generator for Wind and Load Uncertainty Study  

SciTech Connect

This paper presents a first-order autoregressive algorithm to generate real-time (RT), hour-ahead (HA), and day-ahead (DA) wind and load forecast errors. The methodology aims at producing random wind and load forecast time series reflecting the autocorrelation and cross-correlation of historical forecast data sets. Five statistical characteristics are considered: the means, standard deviations, autocorrelations, and cross-correlations. A stochastic optimization routine is developed to minimize the differences between the statistical characteristics of the generated time series and the targeted ones. An optimal set of parameters are obtained and used to produce the RT, HA, and DA forecasts in due order of succession. This method, although implemented as the first-order regressive random forecast error generator, can be extended to higher-order. Results show that the methodology produces random series with desired statistics derived from real data sets provided by the California Independent System Operator (CAISO). The wind and load forecast error generator is currently used in wind integration studies to generate wind and load inputs for stochastic planning processes. Our future studies will focus on reflecting the diurnal and seasonal differences of the wind and load statistics and implementing them in the random forecast generator.

De Mello, Phillip; Lu, Ning; Makarov, Yuri V.

2011-01-17T23:59:59.000Z

327

Weather Forecast Data an Important Input into Building Management Systems  

E-Print Network (OSTI)

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

Poulin, L.

2013-01-01T23:59:59.000Z

328

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

Science Journals Connector (OSTI)

Bayesian model averaging (BMA) probability quantitative precipitation forecast (PQPF) models were established by calibrating their parameters using 1–7-day ensemble forecasts of 24-h accumulated precipitation, and observations from 43 ...

Jianguo Liu; Zhenghui Xie

2014-04-01T23:59:59.000Z

329

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

Science Journals Connector (OSTI)

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

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

2010-01-01T23:59:59.000Z

330

Use of wind power forecasting in operational decisions.  

SciTech Connect

The rapid expansion of wind power gives rise to a number of challenges for power system operators and electricity market participants. The key operational challenge is to efficiently handle the uncertainty and variability of wind power when balancing supply and demand in ths system. In this report, we analyze how wind power forecasting can serve as an efficient tool toward this end. We discuss the current status of wind power forecasting in U.S. electricity markets and develop several methodologies and modeling tools for the use of wind power forecasting in operational decisions, from the perspectives of the system operator as well as the wind power producer. In particular, we focus on the use of probabilistic forecasts in operational decisions. Driven by increasing prices for fossil fuels and concerns about greenhouse gas (GHG) emissions, wind power, as a renewable and clean source of energy, is rapidly being introduced into the existing electricity supply portfolio in many parts of the world. The U.S. Department of Energy (DOE) has analyzed a scenario in which wind power meets 20% of the U.S. electricity demand by 2030, which means that the U.S. wind power capacity would have to reach more than 300 gigawatts (GW). The European Union is pursuing a target of 20/20/20, which aims to reduce greenhouse gas (GHG) emissions by 20%, increase the amount of renewable energy to 20% of the energy supply, and improve energy efficiency by 20% by 2020 as compared to 1990. Meanwhile, China is the leading country in terms of installed wind capacity, and had 45 GW of installed wind power capacity out of about 200 GW on a global level at the end of 2010. The rapid increase in the penetration of wind power into power systems introduces more variability and uncertainty in the electricity generation portfolio, and these factors are the key challenges when it comes to integrating wind power into the electric power grid. Wind power forecasting (WPF) is an important tool to help efficiently address this challenge, and significant efforts have been invested in developing more accurate wind power forecasts. In this report, we document our work on the use of wind power forecasting in operational decisions.

Botterud, A.; Zhi, Z.; Wang, J.; Bessa, R.J.; Keko, H.; Mendes, J.; Sumaili, J.; Miranda, V. (Decision and Information Sciences); (INESC Porto)

2011-11-29T23:59:59.000Z

331

EIA - Forecasts and Analysis of Energy Data  

Gasoline and Diesel Fuel Update (EIA)

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

332

Funding Opportunity Announcement for Wind Forecasting Improvement...  

Office of Environmental Management (EM)

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

333

Upcoming Funding Opportunity for Wind Forecasting Improvement...  

Office of Environmental Management (EM)

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

334

Huge market forecast for linear LDPE  

Science Journals Connector (OSTI)

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

1980-08-25T23:59:59.000Z

335

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

E-Print Network (OSTI)

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

336

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

Gasoline and Diesel Fuel Update (EIA)

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

337

Optimal combined wind power forecasts using exogeneous variables  

E-Print Network (OSTI)

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

338

Ensemble typhoon quantitative precipitation forecasts model in Taiwan  

Science Journals Connector (OSTI)

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

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

339

,"Colorado Natural Gas Industrial Price (Dollars per Thousand Cubic Feet)"  

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

Monthly","9/2013" Monthly","9/2013" ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","n3035co3m.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/n3035co3m.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/12/2013 5:24:00 PM" "Back to Contents","Data 1: Colorado Natural Gas Industrial Price (Dollars per Thousand Cubic Feet)" "Sourcekey","N3035CO3" "Date","Colorado Natural Gas Industrial Price (Dollars per Thousand Cubic Feet)" 36906,9.36 36937,10.07

340

,"Alabama Natural Gas Industrial Price (Dollars per Thousand Cubic Feet)"  

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

Monthly","9/2013" Monthly","9/2013" ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","n3035al3m.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/n3035al3m.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/12/2013 5:23:53 PM" "Back to Contents","Data 1: Alabama Natural Gas Industrial Price (Dollars per Thousand Cubic Feet)" "Sourcekey","N3035AL3" "Date","Alabama Natural Gas Industrial Price (Dollars per Thousand Cubic Feet)" 36906,9.55 36937,8.54

Note: This page contains sample records for the topic "forecasts current dollars" 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

,"California Natural Gas Industrial Price (Dollars per Thousand Cubic Feet)"  

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

Monthly","9/2013" Monthly","9/2013" ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","n3035ca3m.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/n3035ca3m.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/12/2013 5:23:58 PM" "Back to Contents","Data 1: California Natural Gas Industrial Price (Dollars per Thousand Cubic Feet)" "Sourcekey","N3035CA3" "Date","California Natural Gas Industrial Price (Dollars per Thousand Cubic Feet)" 36906,7.75

342

,"U.S. Natural Gas Liquid Composite Price (Dollars per Million Btu)"  

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

Monthly","8/2013" Monthly","8/2013" ,"Release Date:","10/31/2013" ,"Next Release Date:","11/29/2013" ,"Excel File Name:","ngm_epg0_plc_nus_dmmbtum.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/ngm_epg0_plc_nus_dmmbtum.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/18/2013 12:22:47 PM" "Back to Contents","Data 1: U.S. Natural Gas Liquid Composite Price (Dollars per Million Btu)" "Sourcekey","NGM_EPG0_PLC_NUS_DMMBTU" "Date","U.S. Natural Gas Liquid Composite Price (Dollars per Million Btu)"

343

,"Colorado Natural Gas Industrial Price (Dollars per Thousand Cubic Feet)"  

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

Annual",2012 Annual",2012 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","n3035co3a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/n3035co3a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/12/2013 5:24:00 PM" "Back to Contents","Data 1: Colorado Natural Gas Industrial Price (Dollars per Thousand Cubic Feet)" "Sourcekey","N3035CO3" "Date","Colorado Natural Gas Industrial Price (Dollars per Thousand Cubic Feet)" 35611,3.02 35976,2.55 36341,3.08

344

,"Connecticut Natural Gas Industrial Price (Dollars per Thousand Cubic Feet)"  

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

Monthly","9/2013" Monthly","9/2013" ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","n3035ct3m.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/n3035ct3m.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/12/2013 5:24:02 PM" "Back to Contents","Data 1: Connecticut Natural Gas Industrial Price (Dollars per Thousand Cubic Feet)" "Sourcekey","N3035CT3" "Date","Connecticut Natural Gas Industrial Price (Dollars per Thousand Cubic Feet)" 36906,10.11

345

,"Alaska Natural Gas Industrial Price (Dollars per Thousand Cubic Feet)"  

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

Annual",2012 Annual",2012 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","n3035ak3a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/n3035ak3a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/12/2013 5:23:51 PM" "Back to Contents","Data 1: Alaska Natural Gas Industrial Price (Dollars per Thousand Cubic Feet)" "Sourcekey","N3035AK3" "Date","Alaska Natural Gas Industrial Price (Dollars per Thousand Cubic Feet)" 35611,1.54 35976,1.34 36341,1.25

346

,"Georgia Natural Gas Industrial Price (Dollars per Thousand Cubic Feet)"  

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

Monthly","9/2013" Monthly","9/2013" ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","n3035ga3m.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/n3035ga3m.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/12/2013 5:24:08 PM" "Back to Contents","Data 1: Georgia Natural Gas Industrial Price (Dollars per Thousand Cubic Feet)" "Sourcekey","N3035GA3" "Date","Georgia Natural Gas Industrial Price (Dollars per Thousand Cubic Feet)" 36906,10.05 36937,9.35

347

,"Florida Natural Gas Industrial Price (Dollars per Thousand Cubic Feet)"  

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

Annual",2012 Annual",2012 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","n3035fl3a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/n3035fl3a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/12/2013 5:24:06 PM" "Back to Contents","Data 1: Florida Natural Gas Industrial Price (Dollars per Thousand Cubic Feet)" "Sourcekey","N3035FL3" "Date","Florida Natural Gas Industrial Price (Dollars per Thousand Cubic Feet)" 35611,4.41 35976,3.98 36341,4.12

348

,"U.S. Natural Gas Liquid Composite Price (Dollars per Million Btu)"  

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

Annual",2012 Annual",2012 ,"Release Date:","10/31/2013" ,"Next Release Date:","11/29/2013" ,"Excel File Name:","ngm_epg0_plc_nus_dmmbtua.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/ngm_epg0_plc_nus_dmmbtua.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/18/2013 12:22:46 PM" "Back to Contents","Data 1: U.S. Natural Gas Liquid Composite Price (Dollars per Million Btu)" "Sourcekey","NGM_EPG0_PLC_NUS_DMMBTU" "Date","U.S. Natural Gas Liquid Composite Price (Dollars per Million Btu)"

349

,"California Natural Gas Industrial Price (Dollars per Thousand Cubic Feet)"  

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

Annual",2012 Annual",2012 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","n3035ca3a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/n3035ca3a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/12/2013 5:23:58 PM" "Back to Contents","Data 1: California Natural Gas Industrial Price (Dollars per Thousand Cubic Feet)" "Sourcekey","N3035CA3" "Date","California Natural Gas Industrial Price (Dollars per Thousand Cubic Feet)" 35611,4.18 35976,3.75 36341,3.33

350

,"Alaska Natural Gas Industrial Price (Dollars per Thousand Cubic Feet)"  

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

Monthly","9/2013" Monthly","9/2013" ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","n3035ak3m.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/n3035ak3m.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/12/2013 5:23:51 PM" "Back to Contents","Data 1: Alaska Natural Gas Industrial Price (Dollars per Thousand Cubic Feet)" "Sourcekey","N3035AK3" "Date","Alaska Natural Gas Industrial Price (Dollars per Thousand Cubic Feet)" 36906,1.57 36937,1.55

351

,"Henry Hub Natural Gas Spot Price (Dollars per Million Btu)"  

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

Annual",2012 Annual",2012 ,"Release Date:","12/18/2013" ,"Next Release Date:","12/27/2013" ,"Excel File Name:","rngwhhda.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/rngwhhda.htm" ,"Source:" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/18/2013 12:22:19 PM" "Back to Contents","Data 1: Henry Hub Natural Gas Spot Price (Dollars per Million Btu)" "Sourcekey","RNGWHHD" "Date","Henry Hub Natural Gas Spot Price (Dollars per Million Btu)" 35611,2.49 35976,2.09 36341,2.27 36707,4.31 37072,3.96 37437,3.38 37802,5.47 38168,5.89 38533,8.69 38898,6.73

352

,"Florida Natural Gas Industrial Price (Dollars per Thousand Cubic Feet)"  

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

Monthly","9/2013" Monthly","9/2013" ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","n3035fl3m.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/n3035fl3m.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/12/2013 5:24:06 PM" "Back to Contents","Data 1: Florida Natural Gas Industrial Price (Dollars per Thousand Cubic Feet)" "Sourcekey","N3035FL3" "Date","Florida Natural Gas Industrial Price (Dollars per Thousand Cubic Feet)" 36906,8.27 36937,8.02

353

,"Delaware Natural Gas Industrial Price (Dollars per Thousand Cubic Feet)"  

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

Monthly","9/2013" Monthly","9/2013" ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","n3035de3m.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/n3035de3m.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/12/2013 5:24:04 PM" "Back to Contents","Data 1: Delaware Natural Gas Industrial Price (Dollars per Thousand Cubic Feet)" "Sourcekey","N3035DE3" "Date","Delaware Natural Gas Industrial Price (Dollars per Thousand Cubic Feet)" 36906,7.37 36937,4.61

354

,"South Carolina Natural Gas Industrial Price (Dollars per Thousand Cubic Feet)"  

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

Annual",2012 Annual",2012 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","n3035sc3a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/n3035sc3a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/12/2013 5:25:02 PM" "Back to Contents","Data 1: South Carolina Natural Gas Industrial Price (Dollars per Thousand Cubic Feet)" "Sourcekey","N3035SC3" "Date","South Carolina Natural Gas Industrial Price (Dollars per Thousand Cubic Feet)" 35611,3.72 35976,3.29

355

,"Idaho Natural Gas Industrial Price (Dollars per Thousand Cubic Feet)"  

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

Annual",2012 Annual",2012 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","n3035id3a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/n3035id3a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/12/2013 5:24:13 PM" "Back to Contents","Data 1: Idaho Natural Gas Industrial Price (Dollars per Thousand Cubic Feet)" "Sourcekey","N3035ID3" "Date","Idaho Natural Gas Industrial Price (Dollars per Thousand Cubic Feet)" 35611,2.76 35976,3.09 36341,3.29 36707,4.02

356

,"Georgia Natural Gas Industrial Price (Dollars per Thousand Cubic Feet)"  

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

Annual",2012 Annual",2012 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","n3035ga3a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/n3035ga3a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/12/2013 5:24:07 PM" "Back to Contents","Data 1: Georgia Natural Gas Industrial Price (Dollars per Thousand Cubic Feet)" "Sourcekey","N3035GA3" "Date","Georgia Natural Gas Industrial Price (Dollars per Thousand Cubic Feet)" 35611,4.55 35976,3.92 36341,3.41

357

,"Hawaii Natural Gas Industrial Price (Dollars per Thousand Cubic Feet)"  

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

Monthly","9/2013" Monthly","9/2013" ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","n3035hi3m.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/n3035hi3m.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/12/2013 5:24:09 PM" "Back to Contents","Data 1: Hawaii Natural Gas Industrial Price (Dollars per Thousand Cubic Feet)" "Sourcekey","N3035HI3" "Date","Hawaii Natural Gas Industrial Price (Dollars per Thousand Cubic Feet)" 36906,11.65 36937,11.84

358

,"South Carolina Natural Gas Industrial Price (Dollars per Thousand Cubic Feet)"  

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

Monthly","9/2013" Monthly","9/2013" ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","n3035sc3m.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/n3035sc3m.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/12/2013 5:25:02 PM" "Back to Contents","Data 1: South Carolina Natural Gas Industrial Price (Dollars per Thousand Cubic Feet)" "Sourcekey","N3035SC3" "Date","South Carolina Natural Gas Industrial Price (Dollars per Thousand Cubic Feet)"

359

,"Henry Hub Natural Gas Spot Price (Dollars per Million Btu)"  

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

Daily","12/16/2013" Daily","12/16/2013" ,"Release Date:","12/18/2013" ,"Next Release Date:","12/27/2013" ,"Excel File Name:","rngwhhdd.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/rngwhhdd.htm" ,"Source:" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/18/2013 12:22:24 PM" "Back to Contents","Data 1: Henry Hub Natural Gas Spot Price (Dollars per Million Btu)" "Sourcekey","RNGWHHD" "Date","Henry Hub Natural Gas Spot Price (Dollars per Million Btu)" 35437,3.82 35438,3.8 35439,3.61 35440,3.92 35443,4 35444,4.01 35445,4.34 35446,4.71 35447,3.91

360

,"South Dakota Natural Gas Industrial Price (Dollars per Thousand Cubic Feet)"  

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

Annual",2012 Annual",2012 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","n3035sd3a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/n3035sd3a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/12/2013 5:25:04 PM" "Back to Contents","Data 1: South Dakota Natural Gas Industrial Price (Dollars per Thousand Cubic Feet)" "Sourcekey","N3035SD3" "Date","South Dakota Natural Gas Industrial Price (Dollars per Thousand Cubic Feet)" 35611,4.02 35976,3.28

Note: This page contains sample records for the topic "forecasts current dollars" 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

,"Price of U.S. Liquefied Natural Gas Imports From Egypt (Dollars per Thousand Cubic Feet)"  

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

Egypt (Dollars per Thousand Cubic Feet)" Egypt (Dollars per Thousand Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Price of U.S. Liquefied Natural Gas Imports From Egypt (Dollars per Thousand Cubic Feet)",1,"Monthly","9/2013" ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","n9103eg3m.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/n9103eg3m.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov"

362

,"South Carolina Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet)"  

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

Price (Dollars per Thousand Cubic Feet)" Price (Dollars per Thousand Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","South Carolina Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet)",1,"Annual",2005 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1480_ssc_3a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1480_ssc_3a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov"

363

,"North Carolina Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet)"  

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

Price (Dollars per Thousand Cubic Feet)" Price (Dollars per Thousand Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","North Carolina Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet)",1,"Annual",2005 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1480_snc_3a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1480_snc_3a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov"

364

,"New Hampshire Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet)"  

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

Price (Dollars per Thousand Cubic Feet)" Price (Dollars per Thousand Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","New Hampshire Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet)",1,"Annual",2005 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1480_snh_3a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1480_snh_3a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov"

365

,"North Dakota Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet)"  

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

Price (Dollars per Thousand Cubic Feet)" Price (Dollars per Thousand Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","North Dakota Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet)",1,"Annual",2005 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1480_snd_3a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1480_snd_3a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov"

366

,"Price of U.S. Liquefied Natural Gas Imports From Nigeria (Dollars per Thousand Cubic Feet)"  

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

Nigeria (Dollars per Thousand Cubic Feet)" Nigeria (Dollars per Thousand Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Price of U.S. Liquefied Natural Gas Imports From Nigeria (Dollars per Thousand Cubic Feet)",1,"Monthly","9/2013" ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","n9103ng3m.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/n9103ng3m.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov"

367

,"New York Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet)"  

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

Price (Dollars per Thousand Cubic Feet)" Price (Dollars per Thousand Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","New York Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet)",1,"Annual",2005 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1480_sny_3a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1480_sny_3a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov"

368

,"Price of U.S. Liquefied Natural Gas Imports From Indonesia (Dollars per Thousand Cubic Feet)"  

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

Indonesia (Dollars per Thousand Cubic Feet)" Indonesia (Dollars per Thousand Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Price of U.S. Liquefied Natural Gas Imports From Indonesia (Dollars per Thousand Cubic Feet)",1,"Monthly","9/2013" ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","n9103id3m.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/n9103id3m.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov"

369

,"West Virginia Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet)"  

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

Price (Dollars per Thousand Cubic Feet)" Price (Dollars per Thousand Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","West Virginia Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet)",1,"Annual",2005 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1480_swv_3a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1480_swv_3a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov"

370

,"New Mexico Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet)"  

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

Price (Dollars per Thousand Cubic Feet)" Price (Dollars per Thousand Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","New Mexico Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet)",1,"Annual",2005 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1480_snm_3a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1480_snm_3a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov"

371

,"Price of U.S. Liquefied Natural Gas Imports From Malaysia (Dollars per Thousand Cubic Feet)"  

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

Malaysia (Dollars per Thousand Cubic Feet)" Malaysia (Dollars per Thousand Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Price of U.S. Liquefied Natural Gas Imports From Malaysia (Dollars per Thousand Cubic Feet)",1,"Monthly","9/2013" ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","n9103my3m.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/n9103my3m.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov"

372

,"Price of U.S. Liquefied Natural Gas Imports From Australia (Dollars per Thousand Cubic Feet)"  

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

Australia (Dollars per Thousand Cubic Feet)" Australia (Dollars per Thousand Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Price of U.S. Liquefied Natural Gas Imports From Australia (Dollars per Thousand Cubic Feet)",1,"Monthly","9/2013" ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","n9103au3m.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/n9103au3m.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov"

373

,"New Jersey Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet)"  

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

Price (Dollars per Thousand Cubic Feet)" Price (Dollars per Thousand Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","New Jersey Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet)",1,"Annual",2005 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1480_snj_3a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1480_snj_3a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov"

374

,"Price of U.S. Liquefied Natural Gas Imports From Qatar (Dollars per Thousand Cubic Feet)"  

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

Qatar (Dollars per Thousand Cubic Feet)" Qatar (Dollars per Thousand Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Price of U.S. Liquefied Natural Gas Imports From Qatar (Dollars per Thousand Cubic Feet)",1,"Monthly","9/2013" ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","n9103qr3m.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/n9103qr3m.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov"

375

,"Price of U.S. Liquefied Natural Gas Imports From Brunei (Dollars per Thousand Cubic Feet)"  

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

Brunei (Dollars per Thousand Cubic Feet)" Brunei (Dollars per Thousand Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Price of U.S. Liquefied Natural Gas Imports From Brunei (Dollars per Thousand Cubic Feet)",1,"Monthly","9/2013" ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","n9103bx3m.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/n9103bx3m.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov"

376

,"Price of U.S. Natural Gas Pipeline Imports From Mexico (Dollars per Thousand Cubic Feet)"  

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

Mexico (Dollars per Thousand Cubic Feet)" Mexico (Dollars per Thousand Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Price of U.S. Natural Gas Pipeline Imports From Mexico (Dollars per Thousand Cubic Feet)",1,"Monthly","9/2013" ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","n9102mx3m.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/n9102mx3m.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov"

377

,"Price of U.S. Liquefied Natural Gas Imports From Oman (Dollars per Thousand Cubic Feet)"  

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

Oman (Dollars per Thousand Cubic Feet)" Oman (Dollars per Thousand Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Price of U.S. Liquefied Natural Gas Imports From Oman (Dollars per Thousand Cubic Feet)",1,"Monthly","9/2013" ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","n9103mu3m.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/n9103mu3m.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov"

378

,"South Dakota Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet)"  

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

Price (Dollars per Thousand Cubic Feet)" Price (Dollars per Thousand Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","South Dakota Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet)",1,"Annual",2005 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","na1480_ssd_3a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/na1480_ssd_3a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov"

379

Oxygenation cost estimates in 1983 dollars for Cherokee and Douglas Dams  

SciTech Connect

As part of the Reservoir Releases Program, estimates of costs associated with providing high purity oxygen injection systems at Cherokee and Douglas Dams were computed in 1983 dollars. This report presents results of the computations. An 8.125% interest rate, a 25-year economic life, and a 10-year diffuser life were assumed. Weekly average dissolved oxygen concentration (DO) and turbine flowrate data were available for the years 1958 through 1980. 4 refs., 6 figs., 3 tabs.

Fain, T.G.; Boyd, J.W.

1983-12-01T23:59:59.000Z

380

Forecast of geothermal drilling activity  

SciTech Connect

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

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

1981-10-01T23:59:59.000Z

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


381

New Concepts in Wind Power Forecasting Models  

E-Print Network (OSTI)

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

Kemner, Ken

382

QUIKSCAT MEASUREMENTS AND ECMWF WIND FORECASTS  

E-Print Network (OSTI)

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

Malmberg, Anders

383

QUIKSCAT MEASUREMENTS AND ECMWF WIND FORECASTS  

E-Print Network (OSTI)

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

Malmberg, Anders

384

PROBLEMS OF FORECAST1 Dmitry KUCHARAVY  

E-Print Network (OSTI)

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

Paris-Sud XI, Université de

385

UHERO FORECAST PROJECT DECEMBER 5, 2014  

E-Print Network (OSTI)

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

386

Amending Numerical Weather Prediction forecasts using GPS  

E-Print Network (OSTI)

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

Stoffelen, Ad

387

A Forecasting Support System Based on Exponential Smoothing  

Science Journals Connector (OSTI)

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

Ana Corberán-Vallet; José D. Bermúdez; José V. Segura…

2010-01-01T23:59:59.000Z

388

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

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

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

389

Improved Prediction of Runway Usage for Noise Forecast :.  

E-Print Network (OSTI)

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

Dhanasekaran, D.

2014-01-01T23:59:59.000Z

390

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

Energy Savers (EERE)

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

391

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

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

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

392

Rhode Island Natural Gas Pipeline and Distribution Use Price (Dollars per  

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

Price (Dollars per Thousand Cubic Feet) Price (Dollars per Thousand Cubic Feet) Rhode Island Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0.73 0.33 0.39 1970's 0.33 0.38 0.38 0.42 0.41 0.55 0.75 1.67 2.08 2.06 1980's 2.92 4.74 4.53 4.74 4.05 4.53 3.55 2.87 2.20 4.19 1990's 3.74 3.41 2.94 3.31 2.69 2.21 3.35 3.15 3.00 2.53 2000's 4.67 5.20 NA -- -- -- - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Price for Natural Gas Pipeline and Distribution Use Rhode Island Natural Gas Prices

393

North Dakota Natural Gas Pipeline and Distribution Use Price (Dollars per  

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

Price (Dollars per Thousand Cubic Feet) Price (Dollars per Thousand Cubic Feet) North Dakota Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0.27 0.17 0.17 1970's 0.20 0.20 0.25 0.29 0.31 0.51 0.57 0.75 0.95 1.55 1980's 1.81 2.34 4.11 3.80 3.42 2.77 2.56 2.40 2.49 2.03 1990's 1.61 1.35 1.28 1.84 1.34 1.01 1.70 2.07 1.77 2.12 2000's 3.62 2.14 NA -- -- -- - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Price for Natural Gas Pipeline and Distribution Use North Dakota Natural Gas Prices

394

New York Natural Gas Pipeline and Distribution Use Price (Dollars per  

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

Price (Dollars per Thousand Cubic Feet) Price (Dollars per Thousand Cubic Feet) New York Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0.26 0.23 0.25 1970's 0.23 0.25 0.26 0.27 0.31 0.39 0.54 0.85 1.07 1.44 1980's 1.95 2.41 3.15 3.44 3.23 3.15 2.53 2.47 2.33 2.64 1990's 2.59 2.71 2.86 3.15 2.21 1.52 2.23 1.89 1.38 1.31 2000's 2.25 2.94 NA -- -- -- - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Price for Natural Gas Pipeline and Distribution Use New York Natural Gas Prices Price for Natural Gas Pipeline and Distribution Use

395

New York Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet)  

Gasoline and Diesel Fuel Update (EIA)

Wellhead Price (Dollars per Thousand Cubic Feet) Wellhead Price (Dollars per Thousand Cubic Feet) New York Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0.31 0.30 0.30 1970's 0.30 0.30 0.33 0.35 0.55 0.74 1.13 1.16 1.19 1.27 1980's 1.95 2.67 3.75 3.85 4.00 3.37 3.39 2.00 2.30 2.20 1990's 2.20 2.15 2.25 2.40 2.35 2.30 2.56 2.56 2.16 2000's 3.75 5.00 3.03 5.78 6.98 7.78 7.13 8.85 8.94 4.21 2010's 4.65 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 1/7/2014 Next Release Date: 1/31/2014 Referring Pages: Natural Gas Wellhead Price New York Natural Gas Prices

396

New Mexico Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet)  

Gasoline and Diesel Fuel Update (EIA)

Wellhead Price (Dollars per Thousand Cubic Feet) Wellhead Price (Dollars per Thousand Cubic Feet) New Mexico Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0.13 0.13 0.14 1970's 0.14 0.15 0.19 0.24 0.31 0.40 0.56 0.81 0.99 1.37 1980's 1.76 2.13 2.47 2.68 2.71 2.62 1.87 1.66 1.70 1.56 1990's 1.69 1.37 1.60 1.79 1.58 1.26 1.67 1.76 1.76 2.11 2000's 3.43 3.89 2.68 4.56 4.97 6.91 6.18 6.88 8.40 4.17 2010's 5.32 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 1/7/2014 Next Release Date: 1/31/2014 Referring Pages: Natural Gas Wellhead Price New Mexico Natural Gas Prices

397

South Dakota Natural Gas Pipeline and Distribution Use Price (Dollars per  

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

Price (Dollars per Thousand Cubic Feet) Price (Dollars per Thousand Cubic Feet) South Dakota Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0.24 0.22 0.20 1970's 0.20 0.20 0.30 0.33 0.31 0.50 0.55 0.63 0.78 1.20 1980's 1.71 2.20 2.91 3.31 3.32 3.46 2.69 2.17 2.05 1.91 1990's 2.13 1.42 1.22 1.80 1.36 1.03 1.75 2.13 1.68 2.12 2000's 3.76 3.28 NA -- -- -- - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Price for Natural Gas Pipeline and Distribution Use South Dakota Natural Gas Prices

398

Texas Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand  

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

Price (Dollars per Thousand Cubic Feet) Price (Dollars per Thousand Cubic Feet) Texas Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0.16 0.17 0.17 1970's 0.17 0.18 0.19 0.20 0.28 0.37 0.51 0.68 0.73 1.19 1980's 1.56 2.24 3.09 3.11 2.98 2.80 2.18 2.01 1.98 1.81 1990's 1.74 1.62 1.66 1.82 1.64 1.64 2.40 2.36 2.02 1.99 2000's 2.99 3.13 NA -- -- - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Price for Natural Gas Pipeline and Distribution Use Texas Natural Gas Prices Price for Natural Gas Pipeline and Distribution Use

399

West Virginia Natural Gas Pipeline and Distribution Use Price (Dollars per  

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

Price (Dollars per Thousand Cubic Feet) Price (Dollars per Thousand Cubic Feet) West Virginia Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0.34 0.33 1970's 0.32 0.33 0.38 0.39 0.45 0.59 0.69 1.12 1.29 0.85 1980's 2.24 2.62 3.35 3.75 3.71 3.85 3.44 2.85 2.89 2.97 1990's 2.86 2.49 2.93 3.57 3.54 1.87 3.19 2.97 2.69 2.54 2000's 3.70 5.42 NA -- -- -- - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Price for Natural Gas Pipeline and Distribution Use West Virginia Natural Gas Prices

400

Ohio Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand  

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

Price (Dollars per Thousand Cubic Feet) Price (Dollars per Thousand Cubic Feet) Ohio Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0.22 0.23 0.23 1970's 0.23 0.27 0.28 0.30 0.32 0.43 0.53 0.87 1.01 1.37 1980's 1.92 2.33 3.04 3.42 3.28 3.28 2.79 2.64 2.43 2.54 1990's 2.61 2.66 2.83 2.53 2.50 2.03 2.88 2.80 3.20 2.63 2000's 3.41 5.18 NA -- -- -- - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Price for Natural Gas Pipeline and Distribution Use Ohio Natural Gas Prices Price for Natural Gas Pipeline and Distribution Use

Note: This page contains sample records for the topic "forecasts current dollars" 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

New Mexico Natural Gas Pipeline and Distribution Use Price (Dollars per  

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

Price (Dollars per Thousand Cubic Feet) Price (Dollars per Thousand Cubic Feet) New Mexico Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0.16 0.15 0.15 1970's 0.17 0.17 0.18 0.22 0.30 0.39 0.41 0.68 0.79 1.36 1980's 1.78 2.25 2.80 3.10 3.24 2.86 2.31 1.66 1.70 1.63 1990's 1.67 1.36 1.31 1.79 1.61 1.13 1.59 1.94 1.89 1.03 2000's 1.80 1.74 NA -- -- -- - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Price for Natural Gas Pipeline and Distribution Use New Mexico Natural Gas Prices

402

U.S. Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand  

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

Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet) Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet) U.S. Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0.20 0.20 0.21 1970's 0.21 0.22 0.23 0.25 0.30 0.40 0.51 0.77 0.90 1.32 1980's 1.85 2.39 2.97 3.15 3.04 2.92 2.52 2.17 2.10 2.01 1990's 1.95 1.87 2.07 1.97 1.70 1.49 2.27 2.29 2.01 1.88 2000's 2.97 3.55 NA -- -- -- - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Price for Natural Gas Pipeline and Distribution Use U.S. Natural Gas Prices

403

New Jersey Natural Gas Pipeline and Distribution Use Price (Dollars per  

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

Price (Dollars per Thousand Cubic Feet) Price (Dollars per Thousand Cubic Feet) New Jersey Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0.25 0.21 0.21 1970's 0.22 0.23 0.24 0.25 0.27 0.33 0.41 0.63 0.85 1.29 1980's 1.96 2.75 3.07 3.37 3.68 3.40 2.94 2.53 2.73 2.74 1990's 2.62 2.48 2.62 2.93 2.66 2.59 3.15 3.11 2.93 1.79 2000's 4.00 4.74 NA -- -- -- - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Price for Natural Gas Pipeline and Distribution Use New Jersey Natural Gas Prices

404

Iowa Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand  

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

Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet) Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet) Iowa Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0.17 0.16 0.17 1970's 0.17 0.19 0.20 0.22 0.26 0.34 0.52 0.73 0.99 1.17 1980's 1.55 1.89 2.50 2.73 2.71 2.83 2.57 2.75 2.01 2.02 1990's 1.52 1.54 1.71 1.25 1.39 1.40 2.37 2.46 2.06 2.16 2000's 3.17 3.60 NA -- -- -- - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Price for Natural Gas Pipeline and Distribution Use Iowa Natural Gas Prices

405

Idaho Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand  

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

Price (Dollars per Thousand Cubic Feet) Price (Dollars per Thousand Cubic Feet) Idaho Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0.21 0.21 0.22 1970's 0.22 0.24 0.28 0.34 0.44 0.60 0.72 1.65 1.95 2.45 1980's 3.93 3.95 4.19 3.69 3.55 3.15 2.67 2.08 2.00 2.05 1990's 2.06 1.99 1.89 1.76 1.86 1.78 1.79 1.83 1.67 2.04 2000's 3.52 3.49 NA -- -- -- - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Price for Natural Gas Pipeline and Distribution Use Idaho Natural Gas Prices Price for Natural Gas Pipeline and Distribution Use

406

Utah Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand  

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

Price (Dollars per Thousand Cubic Feet) Price (Dollars per Thousand Cubic Feet) Utah Natural Gas Pipeline and Distribution Use Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0.21 0.21 0.21 1970's 0.21 0.22 0.28 0.29 0.34 0.54 0.67 1.40 1.72 1.88 1980's 2.94 3.17 2.67 2.94 2.99 3.19 2.93 2.66 2.84 2.18 1990's 2.25 2.51 2.25 1.91 1.94 1.57 1.68 2.20 2.05 1.92 2000's 3.19 2.97 NA -- -- -- - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 12/12/2013 Next Release Date: 1/7/2014 Referring Pages: Price for Natural Gas Pipeline and Distribution Use Utah Natural Gas Prices Price for Natural Gas Pipeline and Distribution Use

407

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

SciTech Connect

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

United States. Bonneville Power Administration.

1994-02-01T23:59:59.000Z

408

Improved one day-ahead price forecasting using combined time series and artificial neural network models for the electricity market  

Science Journals Connector (OSTI)

The price forecasts embody crucial information for generators when planning bidding strategies to maximise profits. Therefore, generation companies need accurate price forecasting tools. Comparison of neural network and auto regressive integrated moving average (ARIMA) models to forecast commodity prices in previous researches showed that the artificial neural network (ANN) forecasts were considerably more accurate than traditional ARIMA models. This paper provides an accurate and efficient tool for short-term price forecasting based on the combination of ANN and ARIMA. Firstly, input variables for ANN are determined by time series analysis. This model relates the current prices to the values of past prices. Secondly, ANN is used for one day-ahead price forecasting. A three-layered feed-forward neural network algorithm is used for forecasting next-day electricity prices. The ANN model is then trained and tested using data from electricity market of Iran. According to previous studies, in the case of neural networks and ARIMA models, historical demand data do not significantly improve predictions. The results show that the combined ANNâ??ARIMA forecasts prices with high accuracy for short-term periods. Also, it is shown that policy-making strategies would be enhanced due to increased precision and reliability.

Ali Azadeh; Seyed Farid Ghaderi; Behnaz Pourvalikhan Nokhandan; Shima Nassiri

2011-01-01T23:59:59.000Z

409

1993 Solid Waste Reference Forecast Summary  

SciTech Connect

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

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

1993-08-01T23:59:59.000Z

410

Electric Currents Electric Current  

E-Print Network (OSTI)

coefficient of resistivity Electric Power: = = = Also, = . So, = = 2 = 2 Unit of Power(P): Watt (WChapter 18 Electric Currents #12;Electric Current: Flow of electric charge Current is flow of positive charge. In reality it's the electron moves in solids- Electron current. #12;Ohm's Law : Resistance

Yu, Jaehoon

411

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

SciTech Connect

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

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

2013-10-01T23:59:59.000Z

412

PSO (FU 2101) Ensemble-forecasts for wind power  

E-Print Network (OSTI)

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

413

Forecasting Uncertainty Related to Ramps of Wind Power Production  

E-Print Network (OSTI)

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

Boyer, Edmond

414

The effect of multinationality on management earnings forecasts  

E-Print Network (OSTI)

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

Runyan, Bruce Wayne

2005-08-29T23:59:59.000Z

415

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

SciTech Connect

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

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

2011-10-01T23:59:59.000Z

416

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

E-Print Network (OSTI)

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

Mathiesen, Patrick James

2013-01-01T23:59:59.000Z

417

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

E-Print Network (OSTI)

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

Mathiesen, Patrick James

2013-01-01T23:59:59.000Z

418

Annual Energy Outlook Forecast Evaluation - Tables  

Gasoline and Diesel Fuel Update (EIA)

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

419

Annual Energy Outlook Forecast Evaluation - Tables  

Gasoline and Diesel Fuel Update (EIA)

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

420

Annual Energy Outlook Forecast Evaluation 2004  

Gasoline and Diesel Fuel Update (EIA)

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

Note: This page contains sample records for the topic "forecasts current dollars" 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

Annual Energy Outlook 2001 - Forecast Comparisons  

Gasoline and Diesel Fuel Update (EIA)

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

422

energy data + forecasting | OpenEI Community  

Open Energy Info (EERE)

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

423

Evaluation of hierarchical forecasting for substitutable products  

Science Journals Connector (OSTI)

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

S. Viswanathan; Handik Widiarta; R. Piplani

2008-01-01T23:59:59.000Z

424

Testing Competing High-Resolution Precipitation Forecasts  

E-Print Network (OSTI)

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

Gilleland, Eric

425

Forecasting Capital Expenditure with Plan Data  

Science Journals Connector (OSTI)

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

W. Gerstenberger

1977-01-01T23:59:59.000Z

426

Forecasting Agriculturally Driven Global Environmental Change  

Science Journals Connector (OSTI)

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

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

2001-04-13T23:59:59.000Z

427

Medium- and Long-Range Forecasting  

Science Journals Connector (OSTI)

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

A. James Wagner

1989-09-01T23:59:59.000Z

428

Updated Satellite Technique to Forecast Heavy Snow  

Science Journals Connector (OSTI)

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

Edward C. Johnston

1995-06-01T23:59:59.000Z

429

Forecasting energy markets using support vector machines  

Science Journals Connector (OSTI)

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

Theophilos Papadimitriou; Periklis Gogas; Efthimios Stathakis

2014-01-01T23:59:59.000Z

430

Weather Forecasting by Interactive Analysis of Radar and Satellite Imagery [and Discussion  

Science Journals Connector (OSTI)

...1988 research-article Weather Forecasting by Interactive Analysis of Radar and Satellite Imagery [and Discussion...presenting the current weather situation quickly enough...processing of the radar and satellite data is highly automated...very busy in active weather situations, can keep...

1988-01-01T23:59:59.000Z

431

Application of systems engineering techniques (reliability, availability, maintainability, and dollars) to the Gas Centrifuge Enrichment Plant  

SciTech Connect

The systems engineering function for the Gas Centrifuge Enrichment Plant (GCEP) covers system requirements definition, analyses, verification, technical reviews, and other system efforts necessary to assure good balance of performance, safety, cost, and scheduling. The systems engineering function will support the design, installation, start-up, and operational phases of GCEP. The principal objectives of the systems engineering function are to: assure that the system requirements of the GCEP process are adequately specified and documented and that due consideration and emphasis are given to all aspects of the project; provide system analyses of the designs as they progress to assure that system requirements are met and that GCEP interfaces are compatible; assist in the definition of programs for the necessary and sufficient verification of GCEP systems; and integrate reliability, maintainability, logistics, safety, producibility, and other related specialties into a total system effort. This paper addresses the GCEP reliability, availability, maintainability, and dollars (RAM dollars) analyses which are the primary systems engineering tools for the development and implementation of trade-off studies. These studies are basic to reaching cost-effective project decisions. The steps necessary to achieve optimum cost-effective design are shown.

Boylan, J.G.; DeLozier, R.C.

1982-01-01T23:59:59.000Z

432

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

Science Journals Connector (OSTI)

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

S. Viswanathan; Handik Widiarta; Rajesh Piplani

2008-07-01T23:59:59.000Z

433

,"Price of U.S. Liquefied Natural Gas Imports From Canada (Dollars per Thousand Cubic Feet)"  

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

Canada (Dollars per Thousand Cubic Feet)" Canada (Dollars per Thousand Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Price of U.S. Liquefied Natural Gas Imports From Canada (Dollars per Thousand Cubic Feet)",1,"Monthly","9/2013" ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","ngm_epg0_nus-nca_pml_dmcfm.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/ngm_epg0_nus-nca_pml_dmcfm.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov"

434

,"Price of U.S. Liquefied Natural Gas Imports From Norway (Dollars per Thousand Cubic Feet)"  

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

Norway (Dollars per Thousand Cubic Feet)" Norway (Dollars per Thousand Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Price of U.S. Liquefied Natural Gas Imports From Norway (Dollars per Thousand Cubic Feet)",1,"Monthly","9/2013" ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","ngm_epg0_nus-nno_pml_dmcfm.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/ngm_epg0_nus-nno_pml_dmcfm.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov"

435

,"Price of U.S. Liquefied Natural Gas Imports From Yemen (Dollars per Thousand Cubic Feet)"  

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

Yemen (Dollars per Thousand Cubic Feet)" Yemen (Dollars per Thousand Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Price of U.S. Liquefied Natural Gas Imports From Yemen (Dollars per Thousand Cubic Feet)",1,"Monthly","9/2013" ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","ngm_epg0_pml_nus-nye_dmcfm.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/ngm_epg0_pml_nus-nye_dmcfm.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov"

436

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

E-Print Network (OSTI)

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

Mosier, Richard Matthew

2011-02-22T23:59:59.000Z

437

Annual Energy Outlook Forecast Evaluation - Tables  

Gasoline and Diesel Fuel Update (EIA)

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

438

Real time assimilation of HF radar currents into a coastal ocean model  

E-Print Network (OSTI)

A real time assimilation and forecasting system for coastal currents is presented. The purpose of the system is to deliver current analyses and forecasts based on assimilation of high frequency radar surface current measurements. The local Vessel Traffic Service monitoring the ship traffic to two oil terminals on the coast of Norway received the analyses and forecasts in real time. A new assimilation method based on optimal interpolation is presented where spatial covariances derived from an ocean model are used instead of simplified mathematical formulations. An array of high frequency radar antennae provide the current measurements. A suite of nested ocean models comprise the model system. The observing system is found to yield good analyses and short range forecasts that are significantly improved compared to a model twin without assimilation. The system is fast; analysis and six hour forecasts are ready at the Vessel Traffic Service 45 minutes after acquisition of radar measurements.

Breivik, Řyvind; 10.1016/S0924-7963(01)00002-1

2012-01-01T23:59:59.000Z

439

12-32021E2_Forecast  

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

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

440

Building Energy Software Tools Directory: Degree Day Forecasts  

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

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

Note: This page contains sample records for the topic "forecasts current dollars" 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

Building Energy Software Tools Directory: Energy Usage Forecasts  

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

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

442

Forecasting Market Demand for New Telecommunications Services: An Introduction  

E-Print Network (OSTI)

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

McBurney, Peter

443

River Forecast Application for Water Management: Oil and Water?  

Science Journals Connector (OSTI)

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

Kevin Werner; Kristen Averyt; Gigi Owen

2013-07-01T23:59:59.000Z

444

Data Mining in Load Forecasting of Power System  

Science Journals Connector (OSTI)

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

Guang Yu Zhao; Yan Yan; Chun Zhou Zhao…

2013-01-01T23:59:59.000Z

445

Operational Rainfall and Flow Forecasting for the Panama Canal Watershed  

Science Journals Connector (OSTI)

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

Konstantine P. Georgakakos; Jason A. Sperfslage

2005-01-01T23:59:59.000Z

446

Power System Load Forecasting Based on EEMD and ANN  

Science Journals Connector (OSTI)

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

Wanlu Sun; Zhigang Liu; Wenfan Li

2011-01-01T23:59:59.000Z

447

U.S. Regional Demand Forecasts Using NEMS and GIS  

E-Print Network (OSTI)

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

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

2005-01-01T23:59:59.000Z

448

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

Energy Savers (EERE)

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

449

The Energy Demand Forecasting System of the National Energy Board  

Science Journals Connector (OSTI)

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

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

1980-01-01T23:59:59.000Z

450

Forecasting Energy Demand Using Fuzzy Seasonal Time Series  

Science Journals Connector (OSTI)

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

?Irem Uçal Sar?; Ba¸sar Öztay¸si

2012-01-01T23:59:59.000Z

451

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

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

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

452

Application of a Combination Forecasting Model in Logistics Parks' Demand  

Science Journals Connector (OSTI)

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

Chen Qin; Qi Ming

2010-05-01T23:59:59.000Z

453

A BAYESIAN MODEL COMMITTEE APPROACH TO FORECASTING GLOBAL SOLAR RADIATION  

E-Print Network (OSTI)

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

Boyer, Edmond

454

PSO (FU 2101) Ensemble-forecasts for wind power  

E-Print Network (OSTI)

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

455

Accuracy of near real time updates in wind power forecasting  

E-Print Network (OSTI)

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

Heinemann, Detlev

456

CSUF ECONOMIC OUTLOOK AND FORECASTS MIDYEAR UPDATE -APRIL 2014  

E-Print Network (OSTI)

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

de Lijser, Peter

457

Forecasting wave height probabilities with numerical weather prediction models  

E-Print Network (OSTI)

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

Stevenson, Paul

458

CALIFORNIA ENERGY DEMAND 2008-2018 STAFF REVISED FORECAST  

E-Print Network (OSTI)

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

459

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

E-Print Network (OSTI)

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

Povinelli, Richard J.

460

Wind and Load Forecast Error Model for Multiple Geographically Distributed Forecasts  

SciTech Connect

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

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

2010-11-02T23:59:59.000Z

Note: This page contains sample records for the topic "forecasts current dollars" 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

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

E-Print Network (OSTI)

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

Lang, K.

1982-01-01T23:59:59.000Z

462

Forecasting the Locational Dynamics of Transnational Terrorism  

E-Print Network (OSTI)

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

Massachusetts at Amherst, University of

463

Do quantitative decadal forecasts from GCMs provide  

E-Print Network (OSTI)

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

Stevenson, Paul

464

Sunny outlook for space weather forecasters  

Science Journals Connector (OSTI)

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

Eric Hand

2012-04-27T23:59:59.000Z

465

Modeling of Uncertainty in Wind Energy Forecast  

E-Print Network (OSTI)

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

466

Customized forecasting tool improves reserves estimation  

SciTech Connect

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

Mian, M.A.

1986-04-01T23:59:59.000Z

467

Storm-in-a-Box Forecasting  

Science Journals Connector (OSTI)

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

Richard A. Kerr

2004-05-14T23:59:59.000Z

468

FORECAST OF VACANCIES Until end of 2016  

E-Print Network (OSTI)

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

469

Online short-term solar power forecasting  

SciTech Connect

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

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

2009-10-15T23:59:59.000Z

470

Ocean indicators Current knowledge and future directions  

E-Print Network (OSTI)

Ocean indicators Current knowledge and future directions Brian Burke, NOAA Fisheries Brian.Burke@noaa.gov #12;· Review of ocean indicator work · Forecasting · Indicator gaps and the importance of mechanistic understanding · Plugging in to management #12;Haeseker et al. 2012 Ocean survival is low and variable #12;-10 -5

471

Operational forecasting based on a modified Weather Research and Forecasting model  

SciTech Connect

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

Lundquist, J; Glascoe, L; Obrecht, J

2010-03-18T23:59:59.000Z

472

UNCERTAINTY IN THE GLOBAL FORECAST SYSTEM  

SciTech Connect

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

Werth, D.; Garrett, A.

2009-04-15T23:59:59.000Z

473

Forecastability as a Design Criterion in Wind Resource Assessment: Preprint  

SciTech Connect

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

Zhang, J.; Hodge, B. M.

2014-04-01T23:59:59.000Z

474

ANL Wind Power Forecasting and Electricity Markets | Open Energy  

Open Energy Info (EERE)

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

475

Selecting dry-type transformers: Getting the most energy efficiency for the dollar  

SciTech Connect

Dry-type transformers represent a significant and largely overlooked opportunity for energy and dollar savings. Since all electric power passes through one or more dry-type transformers on its way to lighting, motors, office equipment, or other end uses, even increasing transformer efficiency by a small margin will have a significant impact. Selection of more efficient dry-type transformers could reduce electric bills for commercial and industrial customers by 1 to 3 percent with attractive paybacks, amounting to a savings of $1 billion per year in electricity costs for US commercial and industrial power users. Unfortunately, selecting efficient dry-type transformers is not as straightforward as it first appears to be. The typical selection methods based on temperature rise or full-load efficiency are misleading in many cases. Low-temperature-rise models are not necessarily the most efficient and the average transformer in a commercial building operates at only 35 percent of rated load. A more useful approach is a multiyear cost of ownership analysis that factors in efficiency at part-load conditions. Sample calculations of the multiyear cost of ownership approach illustrate how load profiles have a profound impact on finding the most economical dry-type transformer for a given application.

Howe, B.

1995-10-01T23:59:59.000Z

476

Short-Term World Oil Price Forecast  

Gasoline and Diesel Fuel Update (EIA)

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

477

OpenEI Community - energy data + forecasting  

Open Energy Info (EERE)

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

478

Voluntary Green Power Market Forecast through 2015  

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

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

479

EIA - Forecasts and Analysis of Energy Data  

Gasoline and Diesel Fuel Update (EIA)

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

480

FORSITE: a geothermal site development forecasting system  

SciTech Connect

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

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

1981-10-01T23:59:59.000Z

Note: This page contains sample records for the topic "forecasts current dollars" from the National Library of EnergyBeta (NLEBeta).
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481

Forecasting hotspots using predictive visual analytics approach  

SciTech Connect

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

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

2014-12-30T23:59:59.000Z

482

,"South Carolina Natural Gas Price Sold to Electric Power Consumers (Dollars per Thousand Cubic Feet)"  

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

Monthly","9/2013" Monthly","9/2013" ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","n3045sc3m.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/n3045sc3m.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/12/2013 5:26:09 PM" "Back to Contents","Data 1: South Carolina Natural Gas Price Sold to Electric Power Consumers (Dollars per Thousand Cubic Feet)" "Sourcekey","N3045SC3" "Date","South Carolina Natural Gas Price Sold to Electric Power Consumers (Dollars per Thousand Cubic Feet)"

483

,"South Carolina Natural Gas Price Sold to Electric Power Consumers (Dollars per Thousand Cubic Feet)"  

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

Annual",2012 Annual",2012 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","n3045sc3a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/n3045sc3a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/12/2013 5:26:09 PM" "Back to Contents","Data 1: South Carolina Natural Gas Price Sold to Electric Power Consumers (Dollars per Thousand Cubic Feet)" "Sourcekey","N3045SC3" "Date","South Carolina Natural Gas Price Sold to Electric Power Consumers (Dollars per Thousand Cubic Feet)"

484

,"South Dakota Natural Gas Price Sold to Electric Power Consumers (Dollars per Thousand Cubic Feet)"  

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

Monthly","9/2013" Monthly","9/2013" ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","n3045sd3m.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/n3045sd3m.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/12/2013 5:26:11 PM" "Back to Contents","Data 1: South Dakota Natural Gas Price Sold to Electric Power Consumers (Dollars per Thousand Cubic Feet)" "Sourcekey","N3045SD3" "Date","South Dakota Natural Gas Price Sold to Electric Power Consumers (Dollars per Thousand Cubic Feet)"

485

,"South Dakota Natural Gas Price Sold to Electric Power Consumers (Dollars per Thousand Cubic Feet)"  

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

Annual",2012 Annual",2012 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","n3045sd3a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/n3045sd3a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/12/2013 5:26:10 PM" "Back to Contents","Data 1: South Dakota Natural Gas Price Sold to Electric Power Consumers (Dollars per Thousand Cubic Feet)" "Sourcekey","N3045SD3" "Date","South Dakota Natural Gas Price Sold to Electric Power Consumers (Dollars per Thousand Cubic Feet)"

486

,"Price of U.S. Liquefied Natural Gas Imports From Other Countries (Dollars per Thousand Cubic Feet)"  

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

Other Countries (Dollars per Thousand Cubic Feet)" Other Countries (Dollars per Thousand Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Price of U.S. Liquefied Natural Gas Imports From Other Countries (Dollars per Thousand Cubic Feet)",1,"Monthly","9/2013" ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","n9103983m.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/n9103983m.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov"

487

,"Price of U.S. Liquefied Natural Gas Imports From Equatorial Guinea (Dollars per Thousand Cubic Feet)"  

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

Equatorial Guinea (Dollars per Thousand Cubic Feet)" Equatorial Guinea (Dollars per Thousand Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Price of U.S. Liquefied Natural Gas Imports From Equatorial Guinea (Dollars per Thousand Cubic Feet)",1,"Monthly","9/2013" ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","ngm_epg0_nus-nek_pml_dmcfm.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/ngm_epg0_nus-nek_pml_dmcfm.htm" ,"Source:","Energy Information Administration"

488

Exponential smoothing model selection for forecasting  

Science Journals Connector (OSTI)

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

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

2006-01-01T23:59:59.000Z

489

Solar Wind Forecasting with Coronal Holes  

E-Print Network (OSTI)

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

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

2007-01-09T23:59:59.000Z

490

At the 18th annual Health Care Forecast Conference, Norman J. Ornstein, PhD, resident scholar at the American  

E-Print Network (OSTI)

health care in- dustry is ready for reform, but first we have to determine if health care is a right or a privilege." Continued on page 3 ANNUAL HEALTH CARE FORECAST CONFERENCE Health Care Reform ­ When of politics and current health care reform. There, we were pleased to welcome another sellout crowd ­ which

Rose, Michael R.

491

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

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

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

492

Annual Energy Outlook with Projections to 2025-Forecast Comparisons  

Gasoline and Diesel Fuel Update (EIA)

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

493

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

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

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

494

Metrics for Evaluating the Accuracy of Solar Power Forecasting: Preprint  

SciTech Connect

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

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

2013-10-01T23:59:59.000Z

495

Vision 2023: Forecasting Turkey's natural gas demand between 2013 and 2030  

Science Journals Connector (OSTI)

Natural gas is the primary source for electricity production in Turkey. However, Turkey does not have indigenous resources and imports more than 98.0% of the natural gas it consumes. In 2011, more than 20.0% of Turkey's annual trade deficit was due to imported natural gas, estimated at US$ 20.0 billion. Turkish government has very ambitious targets for the country's energy sector in the next decade according to the Vision 2023 agenda. Previously, we have estimated that Turkey's annual electricity demand would be 530,000 GWh at the year 2023. Considering current energy market dynamics it is almost evident that a substantial amount of this demand would be supplied from natural gas. However, meticulous analysis of the Vision 2023 goals clearly showed that the information about the natural gas sector is scarce. Most importantly there is no demand forecast for natural gas in the Vision 2023 agenda. Therefore, in this study the aim was to generate accurate forecasts for Turkey's natural gas demand between 2013 and 2030. For this purpose, two semi-empirical models based on econometrics, gross domestic product (GDP) at purchasing power parity (PPP) per capita, and demographics, population change, were developed. The logistic equation, which can be used for long term natural gas demand forecasting, and the linear equation, which can be used for medium term demand forecasting, fitted to the timeline series almost seamlessly. In addition, these two models provided reasonable fits according to the mean absolute percentage error, MAPE %, criteria. Turkey's natural gas demand at the year 2030 was calculated as 76.8 billion m3 using the linear model and 83.8 billion m3 based on the logistic model. Consequently, found to be in better agreement with the official Turkish petroleum pipeline corporation (BOTAS) forecast, 76.4 billion m3, than results published in the literature.

Mehmet Melikoglu

2013-01-01T23:59:59.000Z

496

Electric Grid - Forecasting system licensed | ornl.gov  

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

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

497

Managing Wind Power Forecast Uncertainty in Electric Grids.  

E-Print Network (OSTI)

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

Mauch, Brandon Keith

2012-01-01T23:59:59.000Z

498

Forecasting supply/demand and price of ethylene feedstocks  

SciTech Connect

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

Struth, B.W.

1984-08-01T23:59:59.000Z

499

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

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

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

500

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

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

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