Please use this identifier to cite or link to this item:
https://scholarbank.nus.edu.sg/handle/10635/54495
DC Field | Value | |
---|---|---|
dc.title | A new approach to statistical forecasting of daily peak power demand | |
dc.contributor.author | Goh, T.N. | |
dc.contributor.author | Ong, H.L. | |
dc.contributor.author | Lee, Y.O. | |
dc.date.accessioned | 2014-06-16T09:31:44Z | |
dc.date.available | 2014-06-16T09:31:44Z | |
dc.date.issued | 1986-03 | |
dc.identifier.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. | |
dc.identifier.issn | 03787796 | |
dc.identifier.uri | http://scholarbank.nus.edu.sg/handle/10635/54495 | |
dc.description.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. | |
dc.source | Scopus | |
dc.type | Article | |
dc.contributor.department | INDUSTRIAL & SYSTEMS ENGINEERING | |
dc.description.sourcetitle | Electric Power Systems Research | |
dc.description.volume | 10 | |
dc.description.issue | 2 | |
dc.description.page | 145-148 | |
dc.description.coden | EPSRD | |
dc.identifier.isiut | NOT_IN_WOS | |
Appears in Collections: | Staff Publications |
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