Hybrid Real-Value-Genetic-Algorithm and Extended-Nelder- Mead Algorithm for Short Term Energy Demand Prediction
Energy consumption planning of an area is very important. It is essential to accurately predict the amount of short-term power required by an area using a highly effective prediction technique. The real-value-genetics-algorithm (RVGA) is the most effective technique that is currently used. However,...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | en |
| Published: |
Universiti Utara Malaysia Press
2024
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| Subjects: | |
| Online Access: | https://repo.uum.edu.my/id/eprint/30347/1/JICT%2023%2001%202024%2025-47.pdf https://doi.org/10.32890/jict2024.23.1.2 https://repo.uum.edu.my/id/eprint/30347/ https://e-journal.uum.edu.my/index.php/jict/article/view/20064 |
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