A journal of IEEE and CAA , publishes high-quality papers in English on original theoretical/experimental research and development in all areas of automation
Volume 10 Issue 11
Nov.  2023

IEEE/CAA Journal of Automatica Sinica

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Article Contents
T. Chen and C. W. Gao, “Intelligent electric vehicle charging scheduling in transportation-energy nexus with distributional reinforcement learning,” IEEE/CAA J. Autom. Sinica, vol. 10, no. 11, pp. 2171–2173, Nov. 2023. doi: 10.1109/JAS.2023.123285
Citation: T. Chen and C. W. Gao, “Intelligent electric vehicle charging scheduling in transportation-energy nexus with distributional reinforcement learning,” IEEE/CAA J. Autom. Sinica, vol. 10, no. 11, pp. 2171–2173, Nov. 2023. doi: 10.1109/JAS.2023.123285

Intelligent Electric Vehicle Charging Scheduling in Transportation-Energy Nexus With Distributional Reinforcement Learning

doi: 10.1109/JAS.2023.123285
More Information
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    A. Haydari and Y. Yilmaz, “Deep reinforcement learning for intelligent transportation systems: A survey,” IEEE Trans. Intelligent Transportation Systems, vol. 23, no. 1, pp. 11–32, Jan. 2022. doi: 10.1109/TITS.2020.3008612
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    W. Wei, L. Wu, J. Wang, and S. Mei, “Network equilibrium of coupled transportation and power distribution systems,” IEEE Trans. Smart Grid, vol. 9, no. 6, pp. 6764–6779, 2017.
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    H. Zhang, Z. Hu, and Y. Song, “Power and transport nexus: Routing electric vehicles to promote renewable power integration,” IEEE Trans. Smart Grid, vol. 11, no. 4, pp. 3291–3301, 2020. doi: 10.1109/TSG.2020.2967082
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