Methodology for Power Systems’ Emergency Control Based on Deep Learning and Synchronized Measurements 由 Mihail Senyuk, Murodbek Safaraliev, Andrey Pazderin, Olga Pichugova, Inga Zicmane, Svetlana Beryozkina

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Detection of Current Transformer Saturation Based on Machine Learning 由 Ismoil Odinaev, Andrey Pazderin, Murodbek Safaraliev, Firuz Kamalov, Mihail Senyuk, Pavel Y. Gubin

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Directions of Application of Phasor Measurement Units for Control and Monitoring of Modern Power Systems: A State-of-the-Art Review 由 Andrey Pazderin, Inga Zicmane, Mihail Senyuk, Pavel Gubin, Ilya Polyakov, Nikita Mukhlynin, Murodbek Safaraliev, Firuz Kamalov

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Bulk Power Systems Emergency Control Based on Machine Learning Algorithms and Phasor Measurement Units Data: A State-of-the-Art Review 由 Mihail Senyuk, Svetlana Beryozkina, Murodbek Safaraliev, Andrey Pazderin, Ismoil Odinaev, Viktor Klassen, Alena Savosina, Firuz Kamalov

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Data-Driven Machine Learning Methods for Nontechnical Losses of Electrical Energy Detection: A State-of-the-Art Review 由 Andrey Pazderin, Firuz Kamalov, Pavel Y. Gubin, Murodbek Safaraliev, Vladislav Samoylenko, Nikita Mukhlynin, Ismoil Odinaev, Inga Zicmane

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Restoration of the current transformer secondary current under core saturation conditions based on ANN 由 Ismoil Odinaev, Abdel-Haleem Abdel-Aty, Andrey Pazderin, Murodbek Safaraliev, Pavel Matrenin, Mihail Senyuk, Amir Abdel Menaem, Mohammad Kanan

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