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...
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| 格式: | Thesis |
| 語言: | 英语 英语 |
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2024
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| 在線閱讀: | http://eprints.utem.edu.my/id/eprint/28544/ https://plh.utem.edu.my/cgi-bin/koha/opac-detail.pl?biblionumber=124368 |
| Abstract | Abstract here |