2 citations · 3 across the 3 of their papers we have counts for
3 papers
eess.SY2024
Physics-Informed AI Inverter
Qing Shen, Yifan Zhou, Peng Zhang +3
This letter devises an AI-Inverter that pilots the use of a physics-informed neural network (PINN) to enable AI-based electromagnetic transient simulations (EMT) of grid-forming in…
cs.LG2023★ 1 cited
Physics-Informed Induction Machine Modelling
Qing Shen, Yifan Zhou, Peng Zhang
This rapid communication devises a Neural Induction Machine (NeuIM) model, which pilots the use of physics-informed machine learning to enable AI-based electromagnetic transient si…
eess.SY2023★ 2 cited
Physics-Aware Neural Dynamic Equivalence of Power Systems
Qing Shen, Yifan Zhou, Qiang Zhang +3
This letter devises Neural Dynamic Equivalence (NeuDyE), which explores physics-aware machine learning and neural-ordinary-differential-equations (ODE-Net) to discover a dynamic eq…