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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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eess.SY2023★ 4 cited

Physics-Informed Convolutional Autoencoder for Cyber Anomaly Detection in Power Distribution Grids

Mehdi Jabbari Zideh, Sarika Khushalani Solanki

The growing trend toward the modernization of power distribution systems has facilitated the installation of advanced measurement units and promotion of the cyber communication sys…