4 citations · 7 across the 5 of their papers we have counts for
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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★ 4 cited
Multi-Agent Deep Reinforcement Learning for HVAC Control in Commercial Buildings
Liang Yu, Yi Sun, Zhanbo Xu +4
In commercial buildings, about 40%-50% of the total electricity consumption is attributed to Heating, Ventilation, and Air Conditioning (HVAC) systems, which places an economic bur…