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1

File:Notice of Termination for Authorization under TPDES General Permit  

Open Energy Info (EERE)

Notice of Termination for Authorization under TPDES General Permit Notice of Termination for Authorization under TPDES General Permit TXR150000.pdf Jump to: navigation, search File File history File usage Metadata File:Notice of Termination for Authorization under TPDES General Permit TXR150000.pdf Size of this preview: 463 × 599 pixels. Other resolution: 464 × 600 pixels. Go to page 1 2 3 4 Go! next page → next page → Full resolution ‎(1,275 × 1,650 pixels, file size: 162 KB, MIME type: application/pdf, 4 pages) File history Click on a date/time to view the file as it appeared at that time. Date/Time Thumbnail Dimensions User Comment current 16:33, 10 April 2013 Thumbnail for version as of 16:33, 10 April 2013 1,275 × 1,650, 4 pages (162 KB) Alevine (Talk | contribs) You cannot overwrite this file. Edit this file using an external application (See the setup

2

Technology detail in a multi-sector CGE model : transport under climate policy  

E-Print Network (OSTI)

A set of three analytical models is used to study the imbedding of specific transport technologies within a multi-sector, multi-region evaluation of constraints on greenhouse emissions. Key parameters of a computable general ...

Schafer, Andreas.

3

TPDES General Permit No. TXR150000  

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

Runnels: Dec. 15 - Feb. 14 Schleicher: Dec. 15 - Feb. 14 Scurry: Nov. 15 - Apr. 30 Shackelford: Dec. 15 - Feb. 14 Sherman: Nov. 15 - Apr. 30 Stephens: Dec. 15 - Feb. 14 Sterling:...

4

Analysis of Agricultural Greenhouse Gas Mitigation Options within a Multi-sector Economic Framework  

DOE Green Energy (OSTI)

National-scale analysis of greenhouse gas mitigation options is generally carried out using top-down economic models with moderate energy detail but very limited detail in agriculture and forestry. However, a complete analysis of greenhouse gas mitigation options requires an improved representation of agriculture within the top-down economic models used for analysis of climate policy. Greenhouse gas mitigation options within the agricultural sector include changes in afforestation of agricultural lands, crop and livestock management practices, harvesting of biomass crops for fuel, and the sequestration of carbon in agricultural soils. Analysis of such options is usually carried out in a bottom-up model such as the Agricultural Sector Model (ASM). We report on activities to combine the bottom-up agricultural detail from ASM with the top-down economic and energy structure used at Pacific Northwest National Laboratory (PNNL), which has been used extensively for analysis of alternative carbon mitigation strategies.

Sands, Ronald D.; Mccarl, Bruce A.; Gillig, Dhazn; Blanford, Geoffrey J.; Gale, J.; Kaya, Y.

2003-01-01T23:59:59.000Z

5

Notice of Intent (NOI) for Storm Water Discharges Associated with  

Open Energy Info (EERE)

Intent (NOI) for Storm Water Discharges Associated with Intent (NOI) for Storm Water Discharges Associated with Construction Activities under TPDES General Permit (TXR150000) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Reference Material: Notice of Intent (NOI) for Storm Water Discharges Associated with Construction Activities under TPDES General Permit (TXR150000) Details Activities (0) Areas (0) Regions (0) Abstract: Unavailable Author(s): Unknown Published: Texas Commission on Environmental Quality, Date Unknown Document Number: Unavailable DOI: Unavailable Source: View Original Document Retrieved from "http://en.openei.org/w/index.php?title=Notice_of_Intent_(NOI)_for_Storm_Water_Discharges_Associated_with_Construction_Activities_under_TPDES_General_Permit_(TXR150000)&oldid=598006"

6

Natural Gas and the Transformation of the U.S. Energy Sector: A Program Studying Multi-sector Opportunities and Impacts  

Science Conference Proceedings (OSTI)

In recognition of the major transitions occurring within the U.S. energy economy, the Joint Institute for Strategic Energy Analysis (JISEA) and Stanford University's Precourt Institute for Energy (PIE) engaged energy system stakeholders from government, industry, academia, and the environmental community in a discussion about the priority issues for a program of rigorous research relating to natural gas. Held December 10-11, 2012 on the Golden, CO campus of the National Renewable Energy Laboratory, the workshop provided invited experts opportunity to describe the state of current knowledge in defined topic areas, and to suggest analytic priorities for that topic area. Following discussion, all stakeholders then contributed potential research questions for each topic, and then determined priorities through an interactive voting process. This record of proceedings focuses on the outcomes of the discussion.

Gossett, S.

2013-01-01T23:59:59.000Z

7

Microsoft Word - MSWF Op Gd FINAL 031510  

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

Multi-Sector Workforce Multi-Sector Workforce Management Operating Guidelines March 15, 2010 DOE Multi-Sector Workforce Management Program OPERATING GUIDELINES i MULTI-SECTOR WORKFORCE MANAGEMENT OPERATING GUIDELINES Table of Contents 1. REFERENCES .................................................................................................................................... 1 2. PURPOSE ............................................................................................................................................ 1 3. APPLICABILITY AND SCOPE ....................................................................................................... 1 4. DEFINITIONS .................................................................................................................................... 1

8

SPECIFICATIONS FOR THE TERRITORIAL INTELLIGENCE COMMUNITY SYSTEMS Jean-Jacques Girardot  

E-Print Network (OSTI)

, an individual multi-sector guide, Pragma for quantitative analysis and Anaconda for qualitative analysis

Paris-Sud XI, Université de

9

The Honorable Dick Cheney  

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

Notice of Proposed Rulemaking: Coordination of Federal Authorizations for Electric Transmission Facilities Dear Mr. Mills: I am writing, on behalf of the multi-sector membership...

10

GRR/Section 6-TX-b - Construction Storm Water Permitting Process | Open  

Open Energy Info (EERE)

6-TX-b - Construction Storm Water Permitting Process 6-TX-b - Construction Storm Water Permitting Process < GRR Jump to: navigation, search GRR-logo.png GEOTHERMAL REGULATORY ROADMAP Roadmap Home Roadmap Help List of Sections Section 6-TX-b - Construction Storm Water Permitting Process 06TXBConstructionStormWaterPermit.pdf Click to View Fullscreen Contact Agencies Texas Commission on Environmental Quality EPA Regulations & Policies TPDES Construction General Permit (TXR150000) 30 Texas Administrative Code 205 General Permits for Waste Discharges Texas Water Code 26.040 General Permits Clean Water Act Triggers None specified Click "Edit With Form" above to add content 06TXBConstructionStormWaterPermit.pdf Error creating thumbnail: Page number not in range. Error creating thumbnail: Page number not in range.

11

A general equilibrium analysis of climate policy for aviation  

E-Print Network (OSTI)

Regulation of aviation's contribution to the global problem of climate change is increasingly likely in the near term, but the method agreed upon by most economists-a multi-sectoral market-based approach such as a cap and ...

Gillespie, Christopher Whittlesey

2011-01-01T23:59:59.000Z

12

Economic assessment of CO? capture and disposal  

E-Print Network (OSTI)

A multi-sector multi-region general equilibrium model of economic growth and emissions is used to explore the conditions that will determine the market penetration of CO2 capture and disposal technology.

Eckaus, Richard S.; Jacoby, Henry D.; Ellerman, A. Denny.; Leung, Wing-Chi.; Yang, Zili.

13

Bayesian Nash Equilibria and Bell Inequalities  

E-Print Network (OSTI)

Games with incomplete information are formulated in a multi-sector probability matrix formalism that can cope with quantum as well as classical strategies. An analysis of classical and quantum strategy in a multi-sector extension of the game of Battle of Sexes clarifies the two distinct roles of nonlocal strategies, and establish the direct link between the true quantum gain of game's payoff and the breaking of Bell inequalities.

Taksu Cheon; Azhar Iqbal

2007-09-27T23:59:59.000Z

14

PROGRAMME AT A GLANCE 4th AMMA international Conference 2 6 July 2012, ICC, Toulouse, France  

E-Print Network (OSTI)

Monsoon Predictability African Monsoon System 9A Climate and Health 9B Monsoon system: Land surface models 9C Monsoon system: Ocean 10:40 Coffee break Coffee break Coffee break 10:30 Coffee (11) 2A Vulnerability and adaptation I : A multi sector perspective 2B Monsoon system: Climate I

15

2050 Calculator | Open Energy Information  

Open Energy Info (EERE)

0 Calculator 0 Calculator Jump to: navigation, search Tool Summary LAUNCH TOOL Name: 2050 Calculator Agency/Company /Organization: United Kingdom Department of Energy and Climate Change (DECC) Sector: Climate, Energy Focus Area: Renewable Energy, Non-renewable Energy, Biomass, Buildings - Commercial, Buildings - Residential, Economic Development, Geothermal, Greenhouse Gas, Multi-model Integration, Multi-sector Impact Evaluation, Solar, Wind Phase: Evaluate Options, Develop Goals, Prepare a Plan Topics: Analysis Tools, Pathways analysis Resource Type: Online calculator User Interface: Spreadsheet, Website Complexity/Ease of Use: Not Available Website: www.gov.uk/2050-pathways-analysis Country: United Kingdom Web Application Link: 2050-calculator-tool.decc.gov.uk/pathways/1111111111111111111111111111

16

ARM - Facility News Article  

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

October 15, 2007 [Facility News] October 15, 2007 [Facility News] ARM Joins National Science Foundation Remote Sensing Collaboration Bookmark and Share In September, the ARM Climate Research Facility became an official member of the National Science Foundation's Center for Collaborative Adaptive Sensing of the Atmosphere, or CASA. Initial discussions for partnering began nearly a year ago. After a series of informative visits and presentations, the decision was made to move forward with membership process. The transfer of interagency funds was completed on September 18, 2007, solidifying the partnership. In the meantime, CASA dedicated a significant effort to support the CLASIC field campaign in June 2007 by providing a network of four scanning X-band radars. CASA is a multi-sector partnership among academia, industry, and government

17

Microsoft PowerPoint - Intro-Panel1.pps [Read-Only] [Compatibility Mode]  

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

We at NAPA share with HSS We at NAPA share with HSS a commitment on the need to change how government g g works and a vision that innovation and collaboration can be the central tools for leaders to drive change. These speaker events draw t th i d together across agencies and industries the thought leaders who can make this change happen. Jennifer L. Dorn, President and CEO National Academy of Public CEO, National Academy of Public Administration HSS Visiting Speaker Program - Governance and Regulation: U.S. to Lead or Lag in the 21st Century? Co-Sponsored by the National Academy of Public Administration. July 24, 2009 Today's event looks at an increasingly complex regulatory environment; one g y ; that is multi-sectoral with complex technical advancements taking place constantly. It

18

The Honorable Dick Cheney  

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

February 27, 2012 February 27, 2012 Mr. Brian Mills Office of Electricity Delivery and Energy Reliability (OE-20) U.S. Department of Energy 1000 Independence Avenue, SW Washington, DC 20585 Re: Notice of Proposed Rulemaking: Coordination of Federal Authorizations for Electric Transmission Facilities Dear Mr. Mills: I am writing, on behalf of the multi-sector membership of the Western Business Roundtable ("Roundtable"), regarding the Department of Energy's ("DOE") notice of proposed rulemaking ("proposed NOPR") for implementing Federal Power Act ("FPA") section 216(h), which was enacted in section 1221 of the Energy Policy Act of 2005 ("EPAct05"). 1 DOE has stated it intends the proposed NOPR to amend, and incorporate comments received in response

19

Mainstreaming Transport Co-benefits Approach: A Guide to Evaluating  

Open Energy Info (EERE)

Mainstreaming Transport Co-benefits Approach: A Guide to Evaluating Mainstreaming Transport Co-benefits Approach: A Guide to Evaluating Transport Projects Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Mainstreaming Transport Co-benefits Approach: A Guide to Evaluating Transport Projects Agency/Company /Organization: Institute for Global Environmental Strategies Focus Area: Multi-sector Impact Evaluation Topics: Best Practices Website: enviroscope.iges.or.jp/modules/envirolib/upload/3209/attach/transport% For the past three years, the Institute for Global Environmental Strategies (IGES) has been conducting research on co-benefits. This research has demonstrated that quantifying co-benefits is essential to mainstreaming climate and development concerns into project appraisals, policymaking processes, and international climate negotiations. IGES research has also

20

Guinea-USAID Climate Activities | Open Energy Information  

Open Energy Info (EERE)

Guinea-USAID Climate Activities Guinea-USAID Climate Activities Jump to: navigation, search Name Guinea-USAID Climate Activities Agency/Company /Organization U.S. Agency for International Development Sector Energy, Land Focus Area Renewable Energy, Forestry, Agriculture Topics Background analysis Website http://www.usaid.gov/our_work/ Country Guinea Western Africa References USAID Guinea[1] "USAID supports improved governance in the sustainable management of Guinea's tropical forests and watersheds. USAID's climate change activities focus on a multi-sectoral, integrated approach to economic growth. Working to improve governance within the agriculture, natural resources management, and small enterprise development sectors, USAID's work has led to more accountable and transparent government institutions,

Note: This page contains sample records for the topic "tpdes txr05p506 multi-sector" 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

Institute for Transportation & Development Policy | Open Energy Information  

Open Energy Info (EERE)

Institute for Transportation & Development Policy Institute for Transportation & Development Policy Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Institute for Transportation & Development Policy Agency/Company /Organization: Institute for Transportation & Development Policy Focus Area: Multi-sector Impact Evaluation Topics: Best Practices Website: www.itdp.org/ The Institute for Transportation and Development Policy (ITDP) works with cities worldwide to bring about sustainable transport solutions that cut greenhouse gas emissions, reduce poverty, and improve the quality of urban life. The ITDP website provides summaries of the organization's work in the areas of bus rapid transit, bike sharing, and others. How to Use This Tool This tool is most helpful when using these strategies:

22

sector Renewable Energy Non renewable Energy Biomass Buildings Commercial  

Open Energy Info (EERE)

user interface valueType text user interface valueType text sector valueType text abstract valueType text website valueType text openei tool keyword valueType text openei tool uri valueType text items label Calculator user interface Spreadsheet Website sector Renewable Energy Non renewable Energy Biomass Buildings Commercial Buildings Residential Economic Development Gateway Geothermal Greenhouse Gas Multi model Integration Multi sector Impact Evaluation Gateway Solar Wind energy website https www gov uk pathways analysis openei tool keyword calculator greenhouse gas emissions GHG low carbon energy planning energy data emissions data openei tool uri http calculator tool decc gov uk pathways primary energy chart uri http en openei org w index php title Calculator type Tools label AGI

23

Event:CDKN Action Lab | Open Energy Information  

Open Energy Info (EERE)

CDKN Action Lab CDKN Action Lab Jump to: navigation, search Calendar.png CDKN Action Lab: on 2011/04/03 "Our ambition with the Action Lab is to significantly advance climate compatible development through focusing on the relationship between knowledge, policy and action. Together, we will share knowledge and game-changing work, explore what works and what doesn't, and develop new collaborations for joined-up action. During the Lab, we will explore a number of crucial themes. These include: * building governance & policy approaches for climate compatible development * forging public-private and/or multi-sectoral partnerships * engineering climate finance & market mechanisms * enabling technological and/or social innovation * using science and evidence to inform development policy and practice"

24

U.S. Department of Energy NEPA Categorical Exclusion Determination Form  

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

MA-City-Brockton MA-City-Brockton Location: City Brockton MA American Recovery and Reinvestment Act: Proposed Action or Project Description: 1) Replace the existing boiler and chiller and aluminum windows, and weatherize and reseal the foundation of City Hall; 2) upgrade exterior lighting at the War Memorial Building and the adjacent park; and 3) develop a multi-sector energy roadmap that addresses financing opportunities and challenges for the city. Conditions: Historic preservation clause applies to this application Categorical Exclusion(s) Applied: A9, A11, B1.32, B5.1 *-For the complete DOE National Environmental Policy Act regulations regarding categorical exclusions, see Subpart D of 10 CFR10 21 This action would not: threaten a violation of applicable statutory, regulatory, or permit requirements for environment, safety, and health,

25

Research on Factors Relating to Density and Climate Change | Open Energy  

Open Energy Info (EERE)

Research on Factors Relating to Density and Climate Change Research on Factors Relating to Density and Climate Change Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Research on Factors Relating to Density and Climate Change Agency/Company /Organization: National Association of Home Builders Focus Area: Multi-sector Impact Evaluation Topics: Policy Impacts Resource Type: Reports, Journal Articles, & Tools Website: www.nahb.org/fileUpload_details.aspx?contentID=139993 This document talks about the increase residential density, primarily on the grounds that it will reduce vehicle miles traveled,a measure that is closely related to the GHG emissions from driving. References Retrieved from "http://en.openei.org/w/index.php?title=Research_on_Factors_Relating_to_Density_and_Climate_Change&oldid=515031"

26

Immigration, Offshoring and American Jobs GianmarcoI.P.Ottaviano,(UniversitaBocconi,CEPR,FEEMandLdA)  

E-Print Network (OSTI)

How many "American jobs " have U.S.-born workers lost due to immigration and offshoring? Or, alternatively, is it possible that immigration and offshoring, by promoting cost-savings and enhanced efficiency in firms, have spurred the creation of jobs for U.S. natives? We consider a multi-sector version of the Grossman and Rossi-Hansberg (2008) model with a continuum of tasks in each sector and we augment it to include immigrants with heterogeneous productivity in tasks. We use this model to jointly analyze the impact of a reduction in the costs of offshoring and of the costs of immigrating to the U.S. The model predicts that while cheaper offshoring reduces the share of natives among less skilled workers, cheaper immigration does not, but rather reduces the share of offshored jobs instead. Moreover, since both phenomena have a positive "cost-savings " effect they may leave unaffected, or even increase, total native employment of less skilled workers. Our model also predicts that offshoring will push natives toward jobs that are more intensive in communication-interactive skills and away from those that are manual and routine intensive. We test the predictions of the model on data for 58 U.S. manufacturing industries over the period 2000-2007 and find evidence in favor of a positive productivity effect such that immigration has a positive net effect on native employment while offshoring has no effect on it. We also find some evidence that offshoring has pushed

unknown authors

2010-01-01T23:59:59.000Z

27

Immigration, Offshoring and American Jobs Gianmarco I.P. Ottaviano, (Universita di Bologna and CEPR)  

E-Print Network (OSTI)

Increased immigration and offshoring over the last decades has generateddeepconcernsabouttheeffect of both phenomena on the jobs of American workers. How many "American " jobs are lost due to immigration and offshoring? Or is it possible, instead, that immigration and offshoring, by promoting cost-savings and enhanced efficiency in firms, spur the creation of native jobs? We consider a multi-sector version of the Grossman and Rossi-Hansberg (2008) model with a continuum of tasks in each sector and we augment it to include immigrants with heterogeneous productivity in tasks. We use this model to jointly analyze the impact of a reduction in the costs of offshoring and of the costs of immigrating to the U.S. The model predicts that while cheaper offshoring reduces the share of natives among less skilled workers, cheaper immigration does not, but rather reduces the share of offshored jobs instead. Moreover, since both phenomena have a positive "cost-savings " effect they may leave unaffected, or even increase, total native employment of less skilled workers. Our model also predicts that offshoring will push natives toward jobs that are more intensive in communication-interactive skills and away from those that are intensive in manual-routine skills. We test the predictions of the model on data for 58 manuafacturing industries over the period 2000-2007 and find

unknown authors

2009-01-01T23:59:59.000Z

28

Economic Analysis of Energy Crop Production in the U.S. - Location, Quantities, Price, and Impacts on Traditional Agricultural Crops  

DOE Green Energy (OSTI)

POLYSYS is used to estimate US locations where, for any given energy crop price, energy crop production can be economically competitive with conventional crops. POLYSYS is a multi-crop, multi-sector agricultural model developed and maintained by the University of Tennessee and used by the USDA-Economic Research Service. It includes 305 agricultural statistical districts (ASD) which can be aggregated to provide state, regional, and national information. POLYSYS is being modified to include switchgrass, hybrid poplar, and willow on all land suitable for their production. This paper summarizes the preliminary national level results of the POLYSYS analysis for selected energy crop prices for the year 2007 and presents the corresponding maps (for the same prices) of energy crop production locations by ASD. Summarized results include: (1) estimates of energy crop hectares (acres) and quantities (dry Mg, dry tons), (2) identification of traditional crops allocated to energy crop production and calculation of changes in their prices and hectares (acres) of production, and (3) changes in total net farm returns for traditional agricultural crops. The information is useful for identifying areas of the US where large quantities of lowest cost energy crops can most likely be produced.

Walsh, M.E.; De La Torre Ugarte, D.; Slinsky, S.; Graham, R.L.; Shapouri, H.; Ray, D.

1998-10-04T23:59:59.000Z

29

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

30

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