120 citations · 256 across the 9 of their papers we have counts for
4 papers · 1 filter
Power Grid Cascading Failure Mitigation by Reinforcement Learning
Yongli Zhu
This paper proposes a cascading failure mitigation strategy based on Reinforcement Learning (RL). The motivation of the Multi-Stage Cascading Failure (MSCF) problem and its connect…
Mitigating Multi-Stage Cascading Failure by Reinforcement Learning
Yongli Zhu, Chengxi Liu
This paper proposes a cascading failure mitigation strategy based on Reinforcement Learning (RL) method. Firstly, the principles of RL are introduced. Then, the Multi-Stage Cascadi…
Image Embedding of PMU Data for Deep Learning towards Transient Disturbance Classification
Yongli Zhu, Chengxi Liu, Kai Sun
This paper presents a study on power grid disturbance classification by Deep Learning (DL). A real synchrophasor set composing of three different types of disturbance events from t…
Power Market Price Forecasting via Deep Learning
Yongli Zhu, Songtao Lu, Renchang Dai +2
A study on power market price forecasting by deep learning is presented. As one of the most successful deep learning frameworks, the LSTM (Long short-term memory) neural network is…