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AuthorSoliman, S.A.
AuthorAlammari, R.A.
AuthorEl-Hawary, M.E.
AuthorTemraz, H.K.
Available date2009-12-28T15:13:16Z
Publication Date2004-04
Publication NameArabian Journal for Science and Engineering
CitationSoliman, S.A., Alammari, R.A., El-Hawary, M.E., Temraz, H.K., "Long-term electric peak load forecasting for power system planning: A comparative study", Arabian Journal for Science and Engineering, Volume 29, Issue 1 B, April 2004, Pages 85-94
ISSN1319-8025
URIhttp://hdl.handle.net/10576/10537
AbstractA comparative study between two static estimation algorithms, namely least error squares (LES) and least absolute value (LAV) algorithm was presented. The proposed algorithm used the past history data for the load and the influence factors. Different models were developed and tested for long-term peak load power forecasting. It was shown that the LES algorithm produces better-predicted results than the LAV algorithm in the time-dependent model.
Languageen
PublisherKing Fahd University of Petroleum and Minerals
SubjectLES and LAV estimation algorithms
SubjectLong-term planning
SubjectParameter estimation
SubjectPeak load forecasting
TitleLong-term electric peak load forecasting for power system planning: A comparative study
TypeArticle


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