2 citations · 4 across the 18 of their papers we have counts for
3 papers · 1 filter
Homotopy-Guided Self-Supervised Learning of Parametric Solutions for AC Optimal Power Flow
Shimiao Li, Aaron Tuor, Draguna Vrabie +2
Learning to optimize (L2O) parametric approximations of AC optimal power flow (AC-OPF) solutions offers the potential for fast, reusable decision-making in real-time power system o…
Towards Practical Physics-Informed ML Design and Evaluation for Power Grid
Shimiao Li, Amritanshu Pandey, Larry Pileggi
When applied to a real-world safety critical system like the power grid, general machine learning methods suffer from expensive training, non-physical solutions, and limited interp…
Dynamic Graph-Based Anomaly Detection in the Electrical Grid
Shimiao Li, Amritanshu Pandey, Bryan Hooi +2
Given sensor readings over time from a power grid, how can we accurately detect when an anomaly occurs? A key part of achieving this goal is to use the network of power grid sensor…