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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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書誌詳細
主要な著者:	Hosseini E., Al-Ghaili A.M., Kadir D.H., Gunasekaran S.S., Ahmed A.N., Jamil N., Deveci M., Razali R.A.
その他の著者:	57212521533
フォーマット:	Review
出版事項:	Elsevier Ltd 2025
主題:	Clustering algorithms Heuristic algorithms Learning algorithms Learning systems Optimization Deep learning Energy Energy applications Excel Meta-heuristics algorithms Metaheuristic Modeling and forecasting Optimality Renewable energies Research challenges
タグ:	タグ追加タグなし, このレコードへの初めてのタグを付けませんか!

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