Abstract: Deep probabilistic learning networks have been applied in industrial soft sensors. However, they face significant challenges in latent variable inference, deep learning backend ...
Abstract: Distribution network reconfiguration stands out as a potent approach for reducing power losses in radial distribution feeders, where losses notably are more those observed in transmission ...
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