Meta-heuristics and deep learning for energy applications: Review and open research challenges (2018?2023)
The synergy between deep learning and meta-heuristic algorithms presents a promising avenue for tackling the complexities of energy-related modeling and forecasting tasks. While deep learning excels in capturing intricate patterns in data, it may falter in achieving optimality due to the nonlinear n...
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| Main Authors: | , , , , , , , |
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| Format: | Review |
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Elsevier Ltd
2025
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