Renewable energy integration and microgrid energy trading using multi-agent deep reinforcement learning (2022)
Journal Article
Fan. (2022). Renewable energy integration and microgrid energy trading using multi-agent deep reinforcement learning. Applied Energy, https://doi.org/10.1016/j.apenergy.2022.119151

To reduce global greenhouse gas emissions, the world must find intelligent solutions to maximise the utilisation of carbon-free renewable energy sources. In this paper, multi-agent reinforcement learning is used to control a microgrid in a mixed coop... Read More about Renewable energy integration and microgrid energy trading using multi-agent deep reinforcement learning.