89 citations · 194 across the 14 of their papers we have counts for
Showing 2021Show all
2 papers · 1 filter
eess.SY2021★ 10 cited
Improving Robustness of Reinforcement Learning for Power System Control with Adversarial Training
Alexander Pan, Yongkyun Lee, Huan Zhang +2
Due to the proliferation of renewable energy and its intrinsic intermittency and stochasticity, current power systems face severe operational challenges. Data-driven decision-makin…
eess.SY2021★ 4 cited
Understanding the Safety Requirements for Learning-based Power Systems Operations
Yize Chen, Daniel Arnold, Yuanyuan Shi +1
Recent advancements in machine learning and reinforcement learning have brought increased attention to their applicability in a range of decision-making tasks in the operations of…