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

Preuzmi cijeli tekst

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

Preuzmi cijeli tekst

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

Preuzmi cijeli tekst

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

Preuzmi cijeli tekst

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

Preuzmi cijeli tekst

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

Preuzmi cijeli tekst