Long-term electric peak load forecasting for power system planning: A comparative study

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Long-term electric peak load forecasting for power system planning: A comparative study

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dc.contributor.author Soliman, S.A.
dc.contributor.author Alammari, R.A.
dc.contributor.author El-Hawary, M.E.
dc.contributor.author Temraz, H.K.
dc.date.accessioned 2009-12-28T15:13:16Z
dc.date.available 2009-12-28T15:13:16Z
dc.date.issued 2004-04
dc.identifier.citation Arabian Journal for Science and Engineering, Volume 29, Issue 1 B, April 2004, Pages 85-94 en_US
dc.identifier.issn 1319-8025
dc.identifier.uri http://hdl.handle.net/10576/10537
dc.description.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
dc.language.iso en en_US
dc.publisher King Fahd University of Petroleum and Minerals en_US
dc.subject LES and LAV estimation algorithms en_US
dc.subject Long-term planning en_US
dc.subject Parameter estimation en_US
dc.subject Peak load forecasting en_US
dc.title Long-term electric peak load forecasting for power system planning: A comparative study en_US
dc.type Article en_US

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