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Qiang Xing

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#reinforcement learning Open access Sep 2026

Urban electric vehicle fast charging load forecasting: an LGRL approach

Test results show that the proposed hybrid forecasting method outperforms traditional algorithms in forecasting accuracy, convergence speed, and robustness under extreme conditions such as data missing, and it can effectively quantify the impact of load fluctuations on the voltage of distribution networks.

Hao-Min Jiang, Dan-Xiong Fei, Qiang Xing et al. · 0 citations

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