4 citations · 4 across the 2 of their papers we have counts for
2 papers
cs.MA2021
Renewable energy integration and microgrid energy trading using multi-agent deep reinforcement learning
Daniel J. B. Harrold, Jun Cao, Zhong Fan
In this paper, multi-agent reinforcement learning is used to control a hybrid energy storage system working collaboratively to reduce the energy costs of a microgrid through maximi…
cs.LG2021★ 4 cited
Data-driven battery operation for energy arbitrage using rainbow deep reinforcement learning
Daniel J. B. Harrold, Jun Cao, Zhong Fan
As the world seeks to become more sustainable, intelligent solutions are needed to increase the penetration of renewable energy. In this paper, the model-free deep reinforcement le…