RTU Research Outputs and Resources: Reasearch Staff

Directions of Application of Phasor Measurement Units for Control and Monitoring of Modern Power Systems: A State-of-the-Art Review
(2023)

Andrey Pazderin, Inga Zicmane, Mihail Senyuk, Pavel Gubin, Ilya Polyakov, Nikita Mikhlynin, Murodbek Safaraliev, Firuz Kamalov
Scientific article indexed in SCOPUS or WOS database

Data-Driven Machine Learning Methods for Nontechnical Losses of Electrical Energy Detection: A State-of-the-Art Review
(2023)

Andrey Pazderin, Firuz Kamalov, Pavel Gubin, Murodbek Safaraliev, Vladislav Samoylenko, Nikita Mikhlynin, Ismoil Odinaev, Inga Zicmane
Scientific article indexed in SCOPUS or WOS database

Fast Algorithms for Estimating the Disturbance Inception Time in Power Systems Based on Time Series of Instantaneous Values of Current and Voltage with a High Sampling Rate
(2022)

Mihail Senyuk, Svetlana Beryozkina, Pavel Gubin, Anna Dmitrieva, Firuz Kamalov, Murodbek Safaraliev, Inga Zicmane
Scientific article indexed in SCOPUS or WOS database

Adequacy Analysis in Bulk Power Systems Based on the Analytical-Probabilistic Method
(2019)

Vladislav Oboskalov, Pavel Gubin, Sergey Gusev, Rustam Valiev, Anatolijs Mahņitko, Renāta Varfolomejeva
Full-text conference paper published in conference proceedings indexed in SCOPUS or WOS database

An Investigation into the Effectiveness of the Directed Search Method for Optimal Generating Equipment Maintenance by EENS Criteria
(2019)

Pavel Gubin, Vladislav Oboskalov, Anatolijs Mahņitko, Renāta Varfolomejeva
Full-text conference paper published in conference proceedings indexed in SCOPUS or WOS database

Information about Author

Publications

Directions of Application of Phasor Measurement Units for Control and Monitoring of Modern Power Systems: A State-of-the-Art Review
(2023)

Data-Driven Machine Learning Methods for Nontechnical Losses of Electrical Energy Detection: A State-of-the-Art Review
(2023)

Fast Algorithms for Estimating the Disturbance Inception Time in Power Systems Based on Time Series of Instantaneous Values of Current and Voltage with a High Sampling Rate
(2022)

Adequacy Analysis in Bulk Power Systems Based on the Analytical-Probabilistic Method
(2019)

An Investigation into the Effectiveness of the Directed Search Method for Optimal Generating Equipment Maintenance by EENS Criteria
(2019)

Information about Author

Publications

Directions of Application of Phasor Measurement Units for Control and Monitoring of Modern Power Systems: A State-of-the-Art Review (2023)

Data-Driven Machine Learning Methods for Nontechnical Losses of Electrical Energy Detection: A State-of-the-Art Review (2023)

Fast Algorithms for Estimating the Disturbance Inception Time in Power Systems Based on Time Series of Instantaneous Values of Current and Voltage with a High Sampling Rate (2022)

Adequacy Analysis in Bulk Power Systems Based on the Analytical-Probabilistic Method (2019)

An Investigation into the Effectiveness of the Directed Search Method for Optimal Generating Equipment Maintenance by EENS Criteria (2019)

Directions of Application of Phasor Measurement Units for Control and Monitoring of Modern Power Systems: A State-of-the-Art Review
(2023)

Data-Driven Machine Learning Methods for Nontechnical Losses of Electrical Energy Detection: A State-of-the-Art Review
(2023)

Fast Algorithms for Estimating the Disturbance Inception Time in Power Systems Based on Time Series of Instantaneous Values of Current and Voltage with a High Sampling Rate
(2022)

Adequacy Analysis in Bulk Power Systems Based on the Analytical-Probabilistic Method
(2019)

An Investigation into the Effectiveness of the Directed Search Method for Optimal Generating Equipment Maintenance by EENS Criteria
(2019)