Forecasting peak system load using a combined time series and econometric model
Estimates of peak demand requirements in the future constitute the foundation for planning in the electrical energy industry. Because of the critical nature of accurate forecasts, forecasting methodology is continually being refined. In this paper a further refinement is made by using a combined Box-Jenkins/econometric approach to forecast monthly peak system load for a specific utility. By taking account of changes in economic and weather related variables in a Box-Jenkins time series model, improved forecasts are obtained.
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Volume (Year): 4 (1978)
Issue (Month): 3 (July)
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