The study addresses heterogeneous UAV cooperative task assignment under complex constraints via an energy learning ...
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 this paper we introduce a new heuristic algorithm to the centralized long-term transmission system expansion planning problem. The proposed method introduces cuts (new constraints) to the ...
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