475 citations · 476 across the 3 of their papers we have counts for
3 papers
eess.SY2024
Model-Free Load Frequency Control of Nonlinear Power Systems Based on Deep Reinforcement Learning
Xiaodi Chen, Meng Zhang, Zhengguang Wu +2
Load frequency control (LFC) is widely employed in power systems to stabilize frequency fluctuation and guarantee power quality. However, most existing LFC methods rely on accurate…
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…