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...
| Main Authors: | Zuriani, Mustaffa, Mohd Herwan, Sulaiman |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
ECTI Association
2024
|
| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/44084/ http://umpir.ump.edu.my/id/eprint/44084/1/A%20hybrid%20prediction%20model%20for%20short-term.pdf |
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