Jul 2026
Assessing the Generalization of Graph Neural Networks for Fault Location Across Increasing Distributed Energy Resource Penetration Levels
Results show that STGATv2 consistently outperforms neural baselines, achieving 92-94% macro F1 in-distribution, and generalization across penetration levels is asymmetric, highlighting the critical role of topological awareness for robust fault location in active distribution networks.
Burak Karabulut, Olayiwola Arowolo, Carlo Manna et al.
· arXiv.org · 1 citation
· ⚡1