Optimal short term load forecasting using LSSVM and improved BFOA considering Malaysia pandemic disrupted situation

The COVID-19 pandemic's unprecedented disruptions significantly impacted electricity demand patterns across the globe. In Peninsular Malaysia, strict lockdown measures (Movement Control Orders - MCOs) led to the closure of non-essential businesses and stay-at-home orders. These sudden and drama...

書誌詳細
第一著者:	Zaini, Farah Anishah
フォーマット:	学位論文
言語:	英語英語
出版事項:	2024
オンライン･アクセス:	http://eprints.utem.edu.my/id/eprint/28544/ https://plh.utem.edu.my/cgi-bin/koha/opac-detail.pl?biblionumber=124368
Abstract	Abstract here

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