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Mehdi Jabbari Zideh
Mehdi Jabbari Zideh
Graduate Research Assistant, WVU, [email protected]
Verifisert e-postadresse på mix.wvu.edu - Startside
Tittel
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Physics-Informed Machine Learning for Data Anomaly Detection, Classification, Localization, and Mitigation: A Review, Challenges, and Path Forward
MJ Zideh, P Chatterjee, AK Srivastava
IEEE Access, 2024
362024
Two-sided tacit collusion: Another step towards the role of demand-side
M Jabbari Zideh, SS Mohtavipour
Energies 10 (12), 2045, 2017
182017
An iterative method for detection of the collusive strategy in prisoner's dilemma game of electricity market
SS Mohtavipour, MJ Zideh
IEEJ Transactions on Electrical and Electronic Engineering 14 (2), 252-260, 2019
132019
Power flow analysis using deep neural networks in three-phase unbalanced smart distribution grids
D Tiwari, MJ Zideh, V Talreja, V Verma, SK Solanki, J Solanki
IEEE Access, 2024
122024
An unsupervised adversarial autoencoder for cyber attack detection in power distribution grids
MJ Zideh, MR Khalghani, SK Solanki
Electric Power Systems Research 232, 110407, 2024
112024
Physics-informed convolutional autoencoder for cyber anomaly detection in power distribution grids
MJ Zideh, SK Solanki
2024 IEEE Power & Energy Society General Meeting (PESGM), 2024
62024
Multivariate Physics-Informed Convolutional Autoencoder for Anomaly Detection in Power Distribution Systems with High Penetration of DERs
MJ Zideh, SK Solanki
arXiv preprint arXiv:2406.02927, 2024
22024
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Artikler 1–7