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|Title:||A new approach to statistical forecasting of daily peak power demand||Authors:||Goh, T.N.
|Issue Date:||Mar-1986||Citation:||Goh, T.N.,Ong, H.L.,Lee, Y.O. (1986-03). A new approach to statistical forecasting of daily peak power demand. Electric Power Systems Research 10 (2) : 145-148. ScholarBank@NUS Repository.||Abstract:||Load forecasting is essential for various operational and management purposes. Short-term load forecasting through stochastic time series analysis has been increasingly used, but most applications have been based on total power demand on a given generation system. In this study, this approach is further refined so that with routinely available data from a number of key substations the substation demand patterns are separately characterized and forecast before being finally combined to generate future system demands. This technique has been found to yield a very satisfactory level of forecasting accuracy in actual applications. © 1986.||Source Title:||Electric Power Systems Research||URI:||http://scholarbank.nus.edu.sg/handle/10635/54495||ISSN:||03787796|
|Appears in Collections:||Staff Publications|
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