Safe Reinforcement Learning for Active Distribution Networks Reconfiguration Considering Uncertainty
Abstract: The integration of renewable energy (RE) into the active distribution network (ADN) leads to frequent changes in its operational state, requiring the ADN to be more proactive in ensuring ...
Abstract: In bearing fault diagnosis (BFD), unsupervised domain adaptation (UDA) enables cross-domain few-shot BFD due to its knowledge transfer ability. However, UDA, due to the lack of strong ...
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