A novel method of BFOA-LSSVM for electricity price forecasting
Forecasting price has now become an essential task in the operation of electrical power system. Power producers and customers use short term price forecasts to manage and plan for bidding approaches, and hence increase the utilitys profit and energy efficiency. This paper proposes a novel method of...
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| Main Authors: | , , , , , |
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| Other Authors: | |
| Format: | Article |
| Published: |
Asian Research Publishing Network
2023
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| Institution: | Universiti Tenaga Nasional |