2 papers
eess.SY2026
Bridging Data-Driven and Model-Based Methods: A Learn-to-Optimize Architecture for Distributed Optimal Power Flow
Yibo Ding, Zhao Xu, Yuhong Zhao +3
This letter proposes a learn-to-optimize (LTO) architecture for distributed optimal power flow (D-OPF) as the nexus between data-driven and model-based methods. By unfolding altern…
eess.SY2025
Power System Robust State Estimation As a Layer: An Optimization-embedded End-to-end Learning Approach
Yibo Ding, Wenzhuo Shi, Mengzhao Duan +4
Serving as an essential prerequisite for modern power system operation, robust state estimation (RSE) could effectively resist noises and outliers in measurements. The emerging neu…