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Physical Informed-Inspired Deep Reinforcement Learning Based Bi-Level Programming for Microgrid Scheduling

IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS(2025)

Cited 0|Views11
Key words
Microgrids,Stakeholders,Optimal scheduling,Load modeling,Job shop scheduling,Programming,Renewable energy sources,Deep reinforcement learning,Switches,Iterative methods,Bi-level scheduling,deep reinforcement learning,demand response,microgrid,thermostatically controlled load
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