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eess.SY2021★ 1 cited
Optimal Operation of a Hydrogen-based Building Multi-Energy System Based on Deep Reinforcement Learning
Liang Yu, Shuqi Qin, Zhanbo Xu +3
Since hydrogen has many advantages (e.g., free pollution, extensive sources, convenient storage and transportation), hydrogen-based multi-energy systems (HMESs) have received wide…
eess.SY2020★ 1 cited
Deep Reinforcement Learning for Smart Grid Protection Against Coordinated Multistage Transmission Line Attacks
Liang Yu, Zhen Gao, Shuqi Qin +4
With the increase of connectivity in power grid, a cascading failure may be triggered by the failure of a transmission line, which can lead to substantial economic losses and serio…
eess.SY2020★ 475 cited
A Review of Deep Reinforcement Learning for Smart Building Energy Management
Liang Yu, Shuqi Qin, Meng Zhang +3
Global buildings account for about 30% of the total energy consumption and carbon emission, raising severe energy and environmental concerns. Therefore, it is significant and urgen…