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物理嵌入式图形卷积神经网络用于电流计算,考虑不确定注入和拓

Maosheng Gao, Juan Yu, Zhifang Yang

    IEEE transactions on neural networks and learning systems
    |July 10, 2023
    PubMed
    概括

    一个新的模型驱动的图形卷积神经网络 (MD-GCN) 为电力系统提供了高效和强大的功率流计算. 这种方法可以提高精度,尽管电源注入不确定,网络拓也在变化.

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