Short-term load forecasting using least squares support vector machine / Abdul Zamer Afiq Abd Razak
In the electrical industry, accurate forecast of electricity load has been highlighted as most of the important issues. This paper proposes a model for short-term load forecasting using least-square support vector machines. The collected data are from Dayton, Ohio, United State. This collected data...
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| Main Author: | |
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| Format: | Thesis |
| Language: | English |
| Published: |
2014
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| Online Access: | https://ir.uitm.edu.my/id/eprint/84804/1/84804.pdf |
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