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Modeling demand and supply interactions to forecast load growth for electricity distribution systems

Authors: Ruth J. Maddigan; Colleen Gallagher Rizy;
Abstract
Abstract Distribution systems such as the Rural Electric Cooperatives (RECs) in the U.S. obtain power largely through purchases. Supply is often guaranteed through long-term contracts, and prices may be less sensitive in the short run to increases in fuel costs. The development of a model to capture some of the unique features of the RECs cost structures is discussed. The use of such a model in forecasting the growth of the cooperatives is presented; three scenarios of alternative assumptions regarding the growth of fuel prices are analyzed. Based on these scenarios, it is concluded that the annual load growths of RECs will range between 3.6 and 5.9% to the year 2000.
Related Organizations
- Oak Ridge National Laboratory United States
- University of Colorado Denver United States
- University of Colorado System United States
- Oak Ridge National Laboratory United States
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).5 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average

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citations
Citations provided by BIP!
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
popularity
Popularity provided by BIP!
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
5
Average
Average
Average