6 citations · 11 across the 7 of their papers we have counts for
3 papers · 1 filter
Multivariate Physics-Informed Convolutional Autoencoder for Anomaly Detection in Power Distribution Systems with High Penetration of DERs
Mehdi Jabbari Zideh, Sarika Khushalani Solanki
Despite the relentless progress of deep learning models in analyzing the system conditions under cyber-physical events, their abilities are limited in the power system domain due t…
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…
Power Flow Analysis Using Deep Neural Networks in Three-Phase Unbalanced Smart Distribution Grids
Deepak Tiwari, Mehdi Jabbari Zideh, Veeru Talreja +3
Most power systems' approaches are currently tending towards stochastic and probabilistic methods due to the high variability of renewable sources and the stochastic nature of load…