A hybrid prediction model for short-term load forecasting in power systems

• 主要な著者: Zuriani, Mustaffa, Mohd Herwan, Sulaiman
• フォーマット: 論文
• 言語: English
• 出版事項: ECTI Association 2024
• 主題: TK Electrical engineering. Electronics Nuclear engineering
• オンライン･アクセス: http://umpir.ump.edu.my/id/eprint/44084/1/A%20hybrid%20prediction%20model%20for%20short-term.pdf; http://umpir.ump.edu.my/id/eprint/44084/; https://doi.org/10.37936/ecti-cit.2024184.257667; https://doi.org/10.37936/ecti-cit.2024184.257667

Short-term load forecasting (STLF) plays a vital role in effective power system management by assisting power dispatch centers in developing generation plans and ensuring smooth system operation. This study introduces a novel hybrid prediction model called iSSA-LSSVM to tackle the STLF challenge. By...