Multi-agent RL enables microgrids to learn profitable P2P bidding policies that increase renewable utilization and local economic welfare in simulations.
Combined carbon capture and utilization with peer-to-peer energy trading for multi microgrids using multiagent proximal policy optimization
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Multi-agent Reinforcement Learning for Low-Carbon P2P Energy Trading among Self-Interested Microgrids
Multi-agent RL enables microgrids to learn profitable P2P bidding policies that increase renewable utilization and local economic welfare in simulations.