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Geographic relationships among energy infrastructure development, regional economic linkages, and the environment is crucial for understanding the impacts of Appalachian energy extraction activities and for regional planning efforts focused on the ecosystem services that may be affected. The U.S. Energy Information Administration (EIA) provides impartial and independent data on the nation’s energy infrastructure, its sources, flows, and end uses, as well as forecasts and outlooks. Location information for specific extraction activities, as well as power plants and other supply chain components, can help reveal the regional nature of specific impacts and the often large distances between those effects and end-use...
This paper investigates the potential for systematic errors in the Energy Information Administration’s (EIA) widely used Annual Energy Outlook, focusing on the near- to midterm projections of energy demand. Based on analysis of the EIA’s 22-year projection record, we find a fairly modest but persistent tendency to underestimate total energy demand by an average of 2 percent per year after controlling for projection errors in gross domestic product, oil prices, and heating/cooling degree days. For 14 individual fuels/consuming sectors routinely reported by the EIA, we observe a great deal of directional consistency in the errors over time, ranging up to 7 percent per year. Electric utility renewables, electric utility...
Categories: Publication; Types: Citation; Tags: EIA, bias, energy forecasting
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This project is part of a larger effort to design a sustainable landscape for wildlife and ecological systems in the Columbia Plateau ecoregion. Another goal of this effort is to test and describe different approaches to doing “Landscape Conservation Design” (LCD) and working towards articulating a toolkit of approaches for LCD. This report documents a task related to further develop and testing of this toolkit as applied to priority areas in the Columbia Plateau). This project focuses on a rapid assessment method of several potential areas across a large landscape. This assessment project builds from these previous ALI efforts (ALI 2013 and ALI 2014) by providing decision support for strategy development. This...
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This project is part of a larger effort to design a sustainable landscape for wildlife and ecological systems in the Columbia Plateau ecoregion. Another goal of this effort is to test and describe different approaches to doing “Landscape Conservation Design” (LCD) and working towards articulating a toolkit of approaches for LCD. This report documents a task related to further develop and testing of this toolkit as applied to priority areas in the Columbia Plateau). This project focuses on a rapid assessment method of several potential areas across a large landscape. This assessment project builds from these previous ALI efforts (ALI 2013 and ALI 2014) by providing decision support for strategy development. ...
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The U.S. Energy Information Administration (EIA) provides impartial and independent data on the nation’s energy infrastructure, its sources, flows, and end uses, as well as forecasts and outlooks. Location information for specific extraction activities, as well as power plants and other supply chain components, can help reveal the regional nature of specific impacts and the often large distances between those effects and end-use drivers.This is a point dataset representing operating surface and underground coal mines in the United States in 2012. These data originate from the U.S. Energy Information Administration, Form EIA-7A “Coal Production and Preparation Report” and the U.S. Department of Labor, Mine Safety...
This paper investigates the potential for systematic errors in the Energy Information Administration’s (EIA) widely used Annual Energy Outlook, focusing on the near- to midterm projections of energy demand. Based on analysis of the EIA’s 22-year projection record, we find a fairly modest but persistent tendency to underestimate total energy demand by an average of 2 percent per year after controlling for projection errors in gross domestic product, oil prices, and heating/cooling degree days. For 14 individual fuels/consuming sectors routinely reported by the EIA, we observe a great deal of directional consistency in the errors over time, ranging up to 7 percent per year. Electric utility renewables, electric utility...
Categories: Publication; Types: Citation; Tags: EIA, bias, energy forecasting
This paper investigates the potential for systematic errors in the Energy Information Administration’s (EIA) widely used Annual Energy Outlook, focusing on the near- to midterm projections of energy demand. Based on analysis of the EIA’s 22-year projection record, we find a fairly modest but persistent tendency to underestimate total energy demand by an average of 2 percent per year after controlling for projection errors in gross domestic product, oil prices, and heating/cooling degree days. For 14 individual fuels/consuming sectors routinely reported by the EIA, we observe a great deal of directional consistency in the errors over time, ranging up to 7 percent per year. Electric utility renewables, electric utility...
Categories: Publication; Types: Citation; Tags: EIA, bias, energy forecasting
This paper investigates the potential for systematic errors in the Energy Information Administration’s (EIA) widely used Annual Energy Outlook, focusing on the near- to midterm projections of energy demand. Based on analysis of the EIA’s 22-year projection record, we find a fairly modest but persistent tendency to underestimate total energy demand by an average of 2 percent per year after controlling for projection errors in gross domestic product, oil prices, and heating/cooling degree days. For 14 individual fuels/consuming sectors routinely reported by the EIA, we observe a great deal of directional consistency in the errors over time, ranging up to 7 percent per year. Electric utility renewables, electric utility...
Categories: Publication; Types: Citation; Tags: EIA, bias, energy forecasting


    map background search result map search result map Crawford and Rocchio, 2014: Assessing the Condition of Spatial Priority Areas in the Columbia Plateau Ecoregion EIA Field Data for Columbia Plateau Priority Areas US Power Plant Locations Energy Information Association U.S. Coal Mining Locations Crawford and Rocchio, 2014: Assessing the Condition of Spatial Priority Areas in the Columbia Plateau Ecoregion EIA Field Data for Columbia Plateau Priority Areas Energy Information Association U.S. Coal Mining Locations US Power Plant Locations