Energy Pricing in P2P Energy Systems Using Reinforcement Learning. (arXiv:2210.13555v1 [cs.LG])

The increase in renewable energy on the consumer side gives place to new
dynamics in the energy grids. Participants in a microgrid can produce energy
and trade it with their peers (peer-to-peer) with the permission of the energy
provider. In such a scenario, the stochastic nature of distributed renewable
energy generators and energy consumption increases the complexity of defining
fair prices for buying and selling energy. In this study, we introduce a
reinforcement learning framework to help solve this issue …

arxiv energy p2p pricing reinforcement reinforcement learning systems