Abstract
For various important decisions, managers of the electric utility industry must rely on information about the future development of output (kW or kWh) and revenue,, Examples are budgeting, investment and financial planning decisions, which, by their very nature, need to be based on medium to long-range forecasts with a time horizon between approximately one and ten years. This results in a difference in the nature of the problem — but not necessarily with respect to the forecasting technique — relative to the very short-run information required on the perceived system load.
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Bibliography
Box George E.P. and Gwilym Mo Jenkins, 1976, Time Series Analysis: Forecasting and Control, revised edition, Hoi den-Day IncD, San Francisco.
Nelson Charles R., 1973, Applied Time Series Analysis for Managerial Forecasting, Holden-Day Inc,, San Francisco.
Taylor Lester D., 1975, The Demand for Electricity: A Survey, Bell Journal of Economics and Management Science 6, 74–110.
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© 1982 D. Reidel Publishing Company
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Wasserfallen, W., Meier, K. (1982). Predicting the Demand for Electricity — An Application of Transfer function Analysis. In: Feichtinger, G., Kall, P. (eds) Operations Research in Progress. Theory and Decision Library, vol 32. Springer, Dordrecht. https://doi.org/10.1007/978-94-009-7901-7_34
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DOI: https://doi.org/10.1007/978-94-009-7901-7_34
Publisher Name: Springer, Dordrecht
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