Energy-optimal routing for electric vehicles using deep reinforcement learning with transformer
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DOI: 10.1016/j.apenergy.2023.121711
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Cited by:
- Tian, Zhirui & Liu, Weican & Jiang, Wenqian & Wu, Chenye, 2024. "CNNs-Transformer based day-ahead probabilistic load forecasting for weekends with limited data availability," Energy, Elsevier, vol. 293(C).
- Garside, Annisa Kesy & Ahmad, Robiah & Muhtazaruddin, Mohd Nabil Bin, 2024. "A recent review of solution approaches for green vehicle routing problem and its variants," Operations Research Perspectives, Elsevier, vol. 12(C).
- Hasanien, Hany M. & Alsaleh, Ibrahim & Tostado-Véliz, Marcos & Zhang, Miao & Alateeq, Ayoob & Jurado, Francisco & Alassaf, Abdullah, 2024. "Hybrid particle swarm and sea horse optimization algorithm-based optimal reactive power dispatch of power systems comprising electric vehicles," Energy, Elsevier, vol. 286(C).
- Hui Sun & Yanan Dou & Shubo Hu & Zhengnan Gao & Zhonghui Wang & Peng Yuan, 2023. "Day-Ahead Bidding Strategy of a Virtual Power Plant with Multi-Level Electric Energy Interaction in China," Energies, MDPI, vol. 16(19), pages 1-27, September.
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Keywords
Electric vehicle routing problem; Minimize energy consumption; Deep reinforcement learning; Transformer;All these keywords.
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