Cooperative Multi-Agent Actor-Critic for Privacy-Preserving Load Scheduling in a Residential Microgrid

no code implementations • 6 Oct 2021 • Zhaoming Qin, Nanqing Dong, Eric P. Xing, Junwei Cao

As a scalable data-driven approach, multi-agent reinforcement learning (MARL) has made remarkable advances in solving the cooperative residential load scheduling problems.

Multi-agent Reinforcement Learning Privacy Preserving +2

Does Explicit Prediction Matter in Deep Reinforcement Learning-Based Energy Management?

no code implementations • 11 Aug 2021 • Zhaoming Qin, Huaying Zhang, Yuzhou Zhao, Hong Xie, Junwei Cao

In this work, we implement the standard energy management scheme with prediction using supervised learning and DRL, and the counterpart without prediction using end-to-end DRL.

Decision Making energy management +3