Abstract: In this article, a challenging fault diagnosis task is studied, in which no samples of the target faults are available for the model training. This scenario has hardly been studied in ...
Abstract: This paper develops a novel graph convolutional network (GCN) framework for fault location in power distribution networks. The proposed approach integrates multiple measurements at different ...
Machine Learning (ML) models are shared publicly over the internet, within teams and across teams. The rise of Foundation Models have resulted in public ML models being increasingly consumed for ...
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