Forecasting solar power generation using evolutionary mating algorithm-deep neural networks
This paper proposes an integration of recent metaheuristic algorithm namely Evolutionary Mating Algorithm (EMA) in optimizing the weights and biases of deep neural networks (DNN) for forecasting the solar power generation. The study employs a Feed Forward Neural Network (FFNN) to forecast AC power o...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier B.V.
2024
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/41464/1/Forecasting%20solar%20power%20generation%20using%20evolutionary%20mating.pdf http://umpir.ump.edu.my/id/eprint/41464/ https://doi.org/10.1016/j.egyai.2024.100371 https://doi.org/10.1016/j.egyai.2024.100371 |
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