MARL-iDR: Multi-Agent Reinforcement Learning for Incentive-based Residential Demand Response

1 code implementation • 8 Apr 2023 • Jasper van Tilburg, Luciano C. Siebert, Jochen L. Cremer

This paper presents a decentralized Multi-Agent Reinforcement Learning (MARL) approach to an incentive-based Demand Response (DR) program, which aims to maintain the capacity limits of the electricity grid and prevent grid congestion by financially incentivizing residential consumers to reduce their energy consumption.

Management Multi-agent Reinforcement Learning +1