AI RESEARCH
Robustness of Spatio-temporal Graph Neural Networks for Fault Location in Partially Observable Distribution Grids
arXiv CS.LG
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ArXi:2604.20403v1 Announce Type: new Fault location in distribution grids is critical for reliability and minimizing outage durations. Yet, it remains challenging due to partial observability, given sparse measurement infrastructure. Recent works show promising results by combining Recurrent Neural Networks (RNNs) and Graph Neural Networks (GNNs) for spatio-temporal learning.