Modeling short-run electricity demand with long-term growth rates and consumer price elasticity in commercial and industrial sectors

被引:34
作者
Pielow, Amy [1 ]
Sioshansi, Ramteen [1 ]
Roberts, Matthew C. [2 ]
机构
[1] Ohio State Univ, Dept Integrated Syst Engn, Columbus, OH 43210 USA
[2] Ohio State Univ, Dept Agr Environm & Dev Econ, Columbus, OH 43210 USA
基金
美国国家科学基金会;
关键词
Electricity demand; Commercial; Industrial; Long-term growth; Elasticity; FORECASTS;
D O I
10.1016/j.energy.2012.07.059
中图分类号
O414.1 [热力学];
学科分类号
070201 [理论物理];
摘要
This paper specifies and estimates state-level models of short- and long-term electricity demand in the United States. The short-term model predicts hourly load based on weather and calendar inputs. The long-term model estimates interannual demand, and includes population, prices, and gross state product as predictors. These models are combined to incorporate the short- and long-term trends in electricity consumption when generating forecasts of diurnal patterns into the future. Finally, the authors investigate the effects of short-run price elasticities of demand. The short-term model is shown to be within 95% accuracy of actual levels in out-of-sample tests. (C) 2012 Elsevier Ltd. All rights reserved.
引用
收藏
页码:533 / 540
页数:8
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