A multi-agent reinforcement learning approach for investigating and optimising peer-to-peer prosumer energy markets
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DOI: 10.1016/j.apenergy.2023.120705
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Keywords
Peer-to-peer market; Community-based market; Dynamic pricing; Multi-agent systems; Multi-agent reinforcement learning; Proximal Policy Optimisation;All these keywords.
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