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
IEEE/CAA Journal of Automatica Sinica
| 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
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| [1] |
T. Chen, B. Zhang, H. Pourbabak, A. Kavousi-Fard, and W. Su, “Optimal routing and charging of an electric vehicle fleet for high-efficiency dynamic transit systems,” IEEE Trans. Smart Grid, vol. 9, no. 4, pp. 3563–3572, 2016.
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| [2] |
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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| [3] |
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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| [4] |
Y. Liang, Z. Ding, T. Ding, and W.-J. Lee, “Mobility-aware charging scheduling for shared on-demand electric vehicle fleet using deep reinforcement learning,” IEEE Trans. Smart Grid, vol. 12, no. 2, pp. 1380–1393, 2020.
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| [5] |
H. Li, Z. Wan, and H. He, “Constrained EV charging scheduling based on safe deep reinforcement learning,” IEEE Trans. Smart Grid, vol. 11, no. 3, pp. 2427–2439, 2019.
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| [6] |
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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| [7] |
M. G. Bellemare, W. Dabney, and R. Munos, “A distributional perspective on reinforcement learning,” in Proc. Int. Conf. Machine Learning, 2017, pp. 449–458.
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| [8] |
H. Zhang, S. J. Moura, Z. Hu, W. Qi, and Y. Song, “A second-order cone programming model for planning PEV fast-charging stations,” IEEE Trans. power Systems, vol. 33, no. 3, pp. 2763–2777, 2017.
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