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GCN-Based Model for Fault Classification in Distribution Networks under Harmonic Distortion
The increasing integration of distributed energy resources introduces new challenges for accurate fault detection and classification in distribution networks. This paper presents a topology-aware graph convolutional network-based model for fault classification under inverter-induced harmonic distort
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