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    Reinforcement learning for vehicle-to-grid: A review by Hongbin Xie, Ge Song, Zhuoran Shi, Jingyuan Zhang, Zhenjia Lin, Qing Yu, Hongdi Fu, Xuan Song, Haoran Zhang

    Published 2025-03-01
    “…However, with the random integration of a large number of electric vehicles into the grid, the uncertainty and complexity of the system have significantly increased, posing substantial challenges to traditional algorithms. …”
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    RETRACTED: Geometric Construction of Video Stereo Grid Space by Huangchuang Zhang, Ruoping Shi, Ge Li

    Published 2022-05-01
    “…For this reason, the construction and digital analysis of video data space has become an urgent problem to be solved. After in-depth research, this study found that the existing video space construction methods have three shortcomings: first, the problem of high requirements for objective conditions or low accuracy; second, the lack of easy and efficient mapping algorithms from 2D video pixel coordinates to 3D; and third, the lack of efficient correlation mechanisms between video space and external geographic information, making it difficult to integrate video space with external information, and thus prevent a more effective analysis. …”
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    Research on electric vehicle charging and discharging optimization scheduling strategy under V2G mode based on improved crisscross algorithm by MA Li, PENG Weilun, FAN Jinheng, ZHOU Zhiming

    Published 2025-02-01
    “…The charging and discharging demand of electric vehicles is closely related to the load balance of the power grid. In order to effectively alleviate the load pressure caused by the disorderly connection of large-scale electric vehicle (EV) to the power system during the peak period of electric vehicle charging and discharging, a research on electric vehicle charging and discharging scheduling based on comprehensive energy grid load balance is proposed. …”
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