3 papers
eess.SY2026
Multi-Period Sparse Optimization for Proactive Grid Blackout Diagnosis
Qinghua Ma, Reetam Sen Biswas, Denis Osipov +3
Existing or planned power grids need to evaluate survivability under extreme events, like a number of peak load overloading conditions, which could possibly cause system collapses…
eess.SY2025
Sparsity-exploiting Gaussian Process for Robust Transient Learning of Power System Dynamics
Tina Gao, Shimiao Li, Lawrence Pileggi
Advances in leveraging Gaussian processes (GP) have enabled learning and inferring dynamic grid behavior from scarce PMU measurements. However, real measurements can be corrupted b…
eess.SY2025
Cyber-Resilient System Identification for Power Grid through Bayesian Integration
Shimiao Li, Guannan Qu, Bryan Hooi +3
Power grids increasingly need real-time situational awareness under the ever-evolving cyberthreat landscape. Advances in snapshot-based system identification approaches have enable…