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Prospect Theory-inspired Automated P2P Energy Trading with Q-learning-based Dynamic Pricing. (arXiv:2208.12777v1 [cs.AI])
cs.LG updates on arXiv.org arxiv.org
The widespread adoption of distributed energy resources, and the advent of
smart grid technologies, have allowed traditionally passive power system users
to become actively involved in energy trading. Recognizing the fact that the
traditional centralized grid-driven energy markets offer minimal profitability
to these users, recent research has shifted focus towards decentralized
peer-to-peer (P2P) energy markets. In these markets, users trade energy with
each other, with higher benefits than buying or selling to the grid. However,
most researches in P2P energy …
ai arxiv energy learning p2p pricing q-learning theory trading