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20172026
most citedMultivariate Physics-Informed Convolutional Autoencoder for Anomaly Detection in Power Distribution Systems with High Penetration of DERs

6 citations · 11 across the 7 of their papers we have counts for

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cs.LG2026

Battery health prognosis using Physics-informed neural network with Quantum Feature mapping

Muhammad Imran Hossain, Md Fazley Rafy, Sarika Khushalani Solanki +1

Accurate battery health prognosis using State of Health (SOH) estimation is essential for the reliability of multi-scale battery energy storage, yet existing methods are limited in…