3 citations · 3 across the 2 of their papers we have counts for
2 papers
eess.SY2023★ 3 cited
Transferable Deep Learning Power System Short-Term Voltage Stability Assessment with Physics-Informed Topological Feature Engineering
Zijian Feng, Xin Chen, Zijian Lv +2
Deep learning (DL) algorithms have been widely applied to short-term voltage stability (STVS) assessment in power systems. However, transferring the knowledge learned in one power…
eess.SY2023
Deep-Reinforcement-Learning-Based Adaptive State-Feedback Control for Inter-Area Oscillation Damping with Continuous Eigenvalue Configurations
Siyuan Liang, Long Huo, Wenyu Qin +2
Controlling inter-area oscillation (IAO) across wide areas is crucial for the stability of modern power systems. Recent advances in deep learning, combined with the extensive deplo…