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    Using Graph-Enhanced Deep Reinforcement Learning for Distribution Network Fault Recovery by Yueran Liu, Peng Liao, Yang Wang

    Published 2025-06-01
    “…Specifically, it achieves up to 2.6% higher load recovery, up to 0.0 p.u. lower recovery cost, and full restoration in the midday scenario, with statistically significant improvements (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>p</mi><mo><</mo><mn>0.05</mn></mrow></semantics></math></inline-formula> or <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>p</mi><mo><</mo><mn>0.01</mn></mrow></semantics></math></inline-formula>). …”
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