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Author Soliman, S.A.en_US
Author Alammari, R.A.en_US
Author El-Hawary, M.E.en_US
Author Temraz, H.K.en_US
Available date 2009-12-28T15:13:16Zen_US
Publication Date 2004-04en_US
Publication Name Arabian Journal for Science and Engineering
Citation Soliman, 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 85-94en_US
ISSN 1319-8025en_US
URI http://hdl.handle.net/10576/10537en_US
Abstract A 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.en_US
Language enen_US
Publisher King Fahd University of Petroleum and Mineralsen_US
Subject LES and LAV estimation algorithmsen_US
Subject Long-term planningen_US
Subject Parameter estimationen_US
Subject Peak load forecastingen_US
Title Long-term electric peak load forecasting for power system planning: A comparative studyen_US
Type Articleen_US


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