[1] WU Y, WANG Y F, ZHANG Y, et al. Siting and sizing method of electric vehicle charging station based on improved immune clonal selection algorithm [J]. Automation of Electric Power Systems, 2021(7): 95-103 (in Chinese).
[2] WU Y, YE N. Double-layer multi-objective location and capacity model for electric vehicle charging stations in urban road networks [J]. Journal of Shanxi University (Natural Science Edition), 2021, 44(4): 695-704 (in Chinese).
[3] XIANG Y. Hydrogenation infrastructure network optimization considering industrial layout and customer satisfaction [J]. Chinese Journal of Management Science, 2021 (in Chinese). https:/ /doi.org/10.16381/j.cnki.issn1003-207x.2020.0826
[4] LI H, QIANG W, GAO Y, et al. Charging station planning considering users’ travel characteristics and line availability margin of distribution network [J]. Automation of Electric Power Systems, 2018, 42(23): 48-56 (in Chinese).
[5] FENG Y. Research on charging station planning considering user random behavior [D]. Guangzhou: Guangdong University of Technology, 2020 (in Chinese).
[6] GE S Y, LI R, HAN J, et al. Charging Station planning considering probability behavior characteristic of electric taxi [J]. Automation of Electric Power Systems, 2016, 40(4): 50-58 (in Chinese).
[7] DAI W. Research on fast charging station placement and charging scheduling strategy of electric vehicle [D]. Shanghai: Shanghai Jiao Tong University, 2019 (in Chinese).
[8] LI Y. Research on the layout of urban charging station based on electric vehicle trip chain [D]. Beijing: Beijing Jiaotong University, 2018 (in Chinese).
[9] DIAO Y, JIANG Z. A stochastic programming based method for hospital site selection [J]. Journal of Shanghai Jiao Tong University, 2010, 11(3): 433-436 (in Chinese).
[10] ZHOU N, ZHU W, MI W J, et al. Location model and its solution considering the failure of facilities and reassignment algorithm of customers [J]. Journal of Shanghai Jiao Tong University, 2014, 48(5): 725-729 (in Chinese).
[11] WANG W, SU J Y, MA D H, et al. Urban emergency shelter locations for earthquake disaster using timesatisfaction-based maximal covering location model [J]. Journal of Shanghai Jiao Tong University, 2014, 48(1): 154-158 (in Chinese).
[12] LUO Q Y, TIAN W L, JIA H F. Location and capacity model of charging station for electric vehicles based on commuting demand [J]. IEEJ Transactions on Electrical and Electronic Engineering, 2020, 15(7): 1089-1099.
[13] KONG W W, LUO Y G, FENG G X, et al. Optimal location planning method of fast charging station for electric vehicles considering operators, drivers, vehicles, traffic flow and power grid [J]. Energy, 2019, 186: 115826.
[14] WANG W. Research on location problem of public fast charging facilities for electric vehicles in Beijing [D]. Beijing: Beijing Jiaotong University, 2019 (in Chinese).
[15] CHEN J P, AI Q, XIAO F. EV charging station planning based on travel demand [J]. Electric Power Automation Equipment, 2016, 36(6): 34-39 (in Chinese).
[16] BAO Q L, CHAI H Q, ZHAO S Z, et al. Model of technology opportunity mining using machine learning algorithm and its application [J]. Journal of Shanghai Jiao Tong University, 2020, 54(7): 705-717 (in Chinese).
[17] GUO W C, LI B Z, YANG J G, et al. Monitoring of grinding signals and development of wheel wear prediction model [J]. Journal of Shanghai Jiao Tong University, 2019, 53(12): 1475-1481 (in Chinese).
[18] CHEN Y S, YANG Y H, LIN M, et al. Fault diagnosis technology of nuclear power plant based on deep learning neural network [J]. Journal of Shanghai Jiao Tong University, 2018, 52(Sup 1): 58-61 (in Chinese).
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