57 citations · 60 across the 4 of their papers we have counts for
4 papers
Real-time scheduling of renewable power systems through planning-based reinforcement learning
Shaohuai Liu, Jinbo Liu, Weirui Ye +8
The growing renewable energy sources have posed significant challenges to traditional power scheduling. It is difficult for operators to obtain accurate day-ahead forecasts of rene…
Look-Ahead AC Optimal Power Flow: A Model-Informed Reinforcement Learning Approach
Xinyue Wang, Haiwang Zhong, Guanglun Zhang +3
With the increasing proportion of renewable energy in the generation side, it becomes more difficult to accurately predict the power generation and adapt to the large deviations be…
Evaluation of Look-ahead Economic Dispatch Using Reinforcement Learning
Zekuan Yu, Guangchun Ruan, Xinyue Wang +3
Modern power systems are experiencing a variety of challenges driven by renewable energy, which calls for developing novel dispatch methods such as reinforcement learning (RL). Eva…
Review of Learning-Assisted Power System Optimization
Guangchun Ruan, Haiwang Zhong, Guanglun Zhang +3
With dramatic breakthroughs in recent years, machine learning is showing great potential to upgrade the toolbox for power system optimization. Understanding the strength and limita…