Bootstrapping the Probability Distribution of Peak Electricity Demand
AbstractDemand For effective capacity planning, an electric utility requires an estimate of the probability distribution of future maximum demand, rather than simply a point prediction of expected peak. This paper proposes a method of obtaining this using the bootstrapping technique of B. Efron_(1979) and this is applied to the peak demand of an actual utility, Ontario Hydro. While the technique is constructed from the standard procedure of forecasting a future variable using regression coefficients and known values for the right-hand side variables, it is modified to allow for uncertainty in these independent variable forecasts as well. Copyright 1987 by Economics Department of the University of Pennsylvania and the Osaka University Institute of Social and Economic Research Association.
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Bibliographic InfoArticle provided by Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association in its journal International Economic Review.
Volume (Year): 28 (1987)
Issue (Month): 1 (February)
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- Grigoletto, Matteo, 1998. "Bootstrap prediction intervals for autoregressions: some alternatives," International Journal of Forecasting, Elsevier, vol. 14(4), pages 447-456, December.
- Li, Hongyi & Maddala, G. S., 1997.
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- Tom Doan, . "RATS program to demonstrate bootstrapping with cointegration," Statistical Software Components RTZ00021, Boston College Department of Economics.
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- Tonsor, Glynn T. & Dhuyvetter, Kevin C. & Mintert, James R., 2004. "Improving Cattle Basis Forecasting," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 29(02), August.
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