Two-Sided Tacit Collusion: Another Step towards the Role of Demand-Side von Jabbari Zideh, Mehdi, Mohtavipour, Seyed Saeid

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Physics-Informed Machine Learning for Data Anomaly Detection, Classification, Localization, and Mitigation: A Review, Challenges, and Path Forward von Zideh, Mehdi Jabbari, Chatterjee, Paroma, Srivastava, Anurag K.

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Identification and prioritization of the influential factors of blockchain technology adoption in the United States electricity supply chain von Gheibdoust, Hamed, Jabbari Zideh, Mehdi

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Power Flow Analysis Using Deep Neural Networks in Three-Phase Unbalanced Smart Distribution Grids von Tiwari, Deepak, Zideh, Mehdi Jabbari, Talreja, Veeru, Verma, Vishal, Solanki, Sarika K., Solanki, Jignesh

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An iterative method for detection of the collusive strategy in prisoner's dilemma game of electricity market von Mohtavipour, Seyed Saeid, Zideh, Mehdi Jabbari

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An unsupervised adversarial autoencoder for cyber attack detection in power distribution grids von Zideh, Mehdi Jabbari, Khalghani, Mohammad Reza, Solanki, Sarika Khushalani

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Multivariate Physics-Informed Convolutional Autoencoder for Anomaly Detection in Power Distribution Systems with High Penetration of DERs von Zideh, Mehdi Jabbari, Solanki, Sarika Khushalani

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Physics-Informed Convolutional Autoencoder for Cyber Anomaly Detection in Power Distribution Grids von Zideh, Mehdi Jabbari, Solanki, Sarika Khushalani

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An Unsupervised Adversarial Autoencoder for Cyber Attack Detection in Power Distribution Grids von Zideh, Mehdi Jabbari, Khalghani, Mohammad Reza, Solanki, Sarika Khushalani

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Physics-Informed Machine Learning for Data Anomaly Detection, Classification, Localization, and Mitigation: A Review, Challenges, and Path Forward von Zideh, Mehdi Jabbari, Chatterjee, Paroma, Srivastava, Anurag K

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Power Flow Analysis Using Deep Neural Networks in Three-Phase Unbalanced Smart Distribution Grids von Tiwari, Deepak, Zideh, Mehdi Jabbari, Talreja, Veeru, Verma, Vishal, Solanki, Sarika K, Solanki, Jignesh

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Multivariate Physics-Informed Convolutional Autoencoder for Anomaly Detection in Power Distribution Systems with High Penetration of DERs von Mehdi Jabbari Zideh, Sarika Khushalani Solanki

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Physics-Informed Convolutional Autoencoder for Cyber Anomaly Detection in Power Distribution Grids von Mehdi Jabbari Zideh, Sarika Khushalani Solanki

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An Unsupervised Adversarial Autoencoder for Cyber Attack Detection in Power Distribution Grids von Mehdi Jabbari Zideh, Khalghani, Mohammad Reza, Sarika Khushalani Solanki

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Physics-Informed Machine Learning for Data Anomaly Detection, Classification, Localization, and Mitigation: A Review, Challenges, and Path Forward von Mehdi Jabbari Zideh, Chatterjee, Paroma, Srivastava, Anurag K

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