An unsupervised adversarial autoencoder for cyber attack detection in power distribution grids
MJ Zideh, MR Khalghani, SK Solanki - Electric Power Systems Research, 2024 - Elsevier
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 …
poses challenges due to the inherent nonlinear nature of these uncertain and stochastic …
An unsupervised adversarial autoencoder for cyber attack detection in power distribution grids
MJ Zideh, MR Khalghani… - Electric Power Systems …, 2024 - ui.adsabs.harvard.edu
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 …
poses challenges due to the inherent nonlinear nature of these uncertain and stochastic …
[PDF][PDF] An Unsupervised Adversarial Autoencoder for Cyber Attack Detection in Power Distribution Grids
MJ Zideh, MR Khalghani, SK Solanki - researchgate.net
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 …
poses challenges due to the inherent nonlinear nature of these uncertain and stochastic …
An Unsupervised Adversarial Autoencoder for Cyber Attack Detection in Power Distribution Grids
MJ Zideh, MR Khalghani, SK Solanki - arXiv preprint arXiv:2404.02923, 2024 - arxiv.org
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 …
poses challenges due to the inherent nonlinear nature of these uncertain and stochastic …