Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/54495
Title: A new approach to statistical forecasting of daily peak power demand
Authors: Goh, T.N. 
Ong, H.L. 
Lee, Y.O.
Issue Date: Mar-1986
Source: 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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