A hybrid prediction model for short-term load forecasting in power systems
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...
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Main Authors: | , |
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Format: | Article |
Language: | English |
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ECTI Association
2024
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Online Access: | 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 |
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