papers
Publications (2)
cs.LG2025
A Physics-informed Deep Operator for Real-Time Freeway Traffic State Estimation
Hongxin Yu, Yibing Wang, Fengyue Jin +2
Traffic state estimation (TSE) falls methodologically into three categories: model-driven, data-driven, and model-data dual-driven. Model-driven TSE relies on macroscopic traffic f…
eess.SY2020
Data-driven Optimal Power Flow: A Physics-Informed Machine Learning Approach
Xingyu Lei, Zhifang Yang, Juan Yu +3
This paper proposes a data-driven approach for optimal power flow (OPF) based on the stacked extreme learning machine (SELM) framework. SELM has a fast training speed and does not…