3 papers
eess.SY2023
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…
cs.CV2021
Construct Informative Triplet with Two-stage Hard-sample Generation
Chuang Zhu, Zheng Hu, Huihui Dong +3
In this paper, we propose a robust sample generation scheme to construct informative triplets. The proposed hard sample generation is a two-stage synthesis framework that produces…
eess.SY2021
Open-Access Data and Toolbox for Tracking COVID-19 Impact on Power Systems
Guangchun Ruan, Zekuan Yu, Shutong Pu +5
Intervention policies against COVID-19 have caused large-scale disruptions globally, and led to a series of pattern changes in the power system operation. Analyzing these pandemic-…