critical clearing time 1event-structured modeling 1physics-informed neural networks 1power system dynamics 1transient stability assessment 1
From the 1 of 3 linked papers with an AI index.
3 papers
cs.LG2026
Event-Structured Physics-Informed Neural Networks for Differentiable Critical Clearing Boundaries
Baoli Hao, Chenxi Hu, Ming Zhong +1
The paper introduces an event-structured physics‑informed neural network (ES‑PINN) that models pre‑fault, fault‑on, and post‑clearing dynamics to accurately estimate the critical c…
cs.LG2024
Efficient and Robust Continual Graph Learning for Graph Classification in Biology
Ding Zhang, Jane Downer, Can Chen +1
Graph classification is essential for understanding complex biological systems, where molecular structures and interactions are naturally represented as graphs. Traditional graph n…
eess.SY2024
Data-driven Analysis of T-Product-based Dynamical Systems
Xin Mao, Anqi Dong, Ziqin He +2
A wide variety of data can be represented using third-order tensors, spanning applications in chemometrics, psychometrics, and image processing. However, traditional data-driven fr…