3 papers
cs.LG2026
Assessing the Generalization of Graph Neural Networks for Fault Location Across Increasing Distributed Energy Resource Penetration Levels
Burak Karabulut, Olayiwola Arowolo, Carlo Manna +2
Accurate fault location is critical for distribution network reliability. However, increasing distributed energy resource (DER) penetration complicates fault location due to interm…
cs.LG2026
Revisiting data-driven dynamic security assessment with a tabular foundation model
Olayiwola Arowolo, Maosheng Yang, Jochen Cremer
Data-driven pre-fault dynamic security assessment (DSA) rapidly evaluates the dynamic risk of credible contingencies on a power system using machine learning. Existing approaches f…
cs.LG2026
Towards Generalization of Graph Neural Networks for AC Optimal Power Flow
Olayiwola Arowolo, Jochen L. Cremer
AC Optimal Power Flow (ACOPF) is computationally intensive for large-scale grids, often requiring prohibitive solution times with conventional solvers. Machine learning offers sign…