1 citations · 2 across the 3 of their papers we have counts for
3 papers
eess.SY2021★ 1 cited
Adaptive Load Shedding for Grid Emergency Control via Deep Reinforcement Learning
Ying Zhang, Meng Yue, Jianhui Wang
Emergency control, typically such as under-voltage load shedding (UVLS), is broadly used to grapple with low voltage and voltage instability issues in practical power systems under…
eess.SY2020
Review on Set-Theoretic Methods for Safety Verification and Control of Power System
Yichen Zhang, Yan Li, Kevin Tomsovic +2
Increasing penetration of renewable energy introduces significant uncertainty into power systems. Traditional simulation-based verification methods may not be applicable due to the…
eess.SY2020★ 1 cited
Enabling Cyberattack-Resilient Load Forecasting through Adversarial Machine Learning
Zefan Tang, Jieying Jiao, Peng Zhang +3
In the face of an increasingly broad cyberattack surface, cyberattack-resilient load forecasting for electric utilities is both more necessary and more challenging than ever. In th…