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

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cs.CR2024★ 1 cited

An Unsupervised Adversarial Autoencoder for Cyber Attack Detection in Power Distribution Grids

Mehdi Jabbari Zideh, Mohammad Reza Khalghani, Sarika Khushalani Solanki

Detection of cyber attacks in smart power distribution grids with unbalanced configurations poses challenges due to the inherent nonlinear nature of these uncertain and stochastic…