RTU Zinātniskās darbības rezultāti un resursi: Personāls

Stochastic Method for Predicting the Output of Electrical Energy Received from a Solar Panel
(2024)

Vadim Manusov, Alifbek Kirgizov, Murodbek Safaraliev, Inga Zicmane, Svetlana Beryozkina, Sherkhon Sultonov
Zinātniskais raksts, kas indeksēts Web of science un/vai Scopus datu bāzē

Methods and technologies for managing synchronization of MicroGrid with external networks.
(2024)

Anvari Ghulomzoda, Murodbek Safaraliev, Pavel Gubin, Inga Zicmane, Svetlana Beryozkina, Pavel Matrenin
Raksti vai nodaļas rakstu krājumos/zinātniskās grāmatās, kas indeksēti Web of Science un/vai SCOPUS

Short-Term Prediction of the Wind Speed Based on a Learning Process Control Algorithm in Isolated Power Systems
(2023)

Vadim Manusov, Pavel Matrenin, Muso Nazarov, Svetlana Beryozkina, Murodbek Safaraliev, Inga Zicmane, Anvari Ghulomzoda
Zinātniskais raksts, kas indeksēts Web of science un/vai Scopus datu bāzē

Forecasting of Electricity Consumption by Household Consumers Using Fuzzy Logic Based on the Development Plan of the Power System of the Republic of Tajikistan
(2023)

Saidjon Tavarov, Pavel Matrenin, Murodbek Safaraliev, Mihail Senyuk, Svetlana Beryozkina, Inga Zicmane
Zinātniskais raksts, kas indeksēts Web of science un/vai Scopus datu bāzē

Control of Operational Modes of an Urban Distribution Grid under Conditions of Uncertainty
(2023)

Saidjon Tavarov, Alexander Sidorov, Zsolt Čonka, Murodbek Safaraliev, Pavel Matrenin, Mihail Senyuk, Svetlana Beryozkina, Inga Zicmane
Zinātniskais raksts, kas indeksēts Web of science un/vai Scopus datu bāzē

Design Methodology of Intelligent Autonomous Distributed Hybrid Power Complexes with Renewable Energy Sources
(2023)

Murat Asanov, Salima Asanova, Murodbek Safaraliev, Inga Zicmane, Svetlana Beryozkina, Semetey Suerkulov
Zinātniskais raksts, kas indeksēts Web of science un/vai Scopus datu bāzē

Methodology for Power Systems’ Emergency Control Based on Deep Learning and Synchronized Measurements
(2023)

Mihail Senyuk, Murodbek Safaraliev, Andrey Pazderin, Olga Pichugova, Inga Zicmane, Svetlana Beryozkina
Zinātniskais raksts, kas indeksēts Web of science un/vai Scopus datu bāzē

Short-Term Solar Insolation Forecasting in Isolated Hybrid Power Systems Using Neural Networks
(2023)

Pavel Matrenin, Vadim Manusov, Muso Nazarov, Murodbek Safaraliev, Sergey Kokin, Inga Zicmane, Svetlana Beryozkina
Zinātniskais raksts, kas indeksēts Web of science un/vai Scopus datu bāzē

Improvement of Adaptive Single-Phase Automatic Reclosing in Extra-High Voltage Lines
(2022)

Karomatullo Makhmudov, Tatyana Krasilnikova, Anvari Ghulomzoda, Svetlana Beryozkina, Murodbek Safaraliev, Inga Zicmane
Publikācijas konferenču materiālos, kas ir indeksēti Web of Science un/vai SCOPUS

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
Zinātniskais raksts, kas indeksēts Web of science un/vai Scopus datu bāzē

Informācija par autoru

Publikācijas

Stochastic Method for Predicting the Output of Electrical Energy Received from a Solar Panel (2024)

Methods and technologies for managing synchronization of MicroGrid with external networks. (2024)

Short-Term Prediction of the Wind Speed Based on a Learning Process Control Algorithm in Isolated Power Systems (2023)

Forecasting of Electricity Consumption by Household Consumers Using Fuzzy Logic Based on the Development Plan of the Power System of the Republic of Tajikistan (2023)

Control of Operational Modes of an Urban Distribution Grid under Conditions of Uncertainty (2023)

Design Methodology of Intelligent Autonomous Distributed Hybrid Power Complexes with Renewable Energy Sources (2023)

Methodology for Power Systems’ Emergency Control Based on Deep Learning and Synchronized Measurements (2023)

Short-Term Solar Insolation Forecasting in Isolated Hybrid Power Systems Using Neural Networks (2023)

Improvement of Adaptive Single-Phase Automatic Reclosing in Extra-High Voltage Lines (2022)

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)

Stochastic Method for Predicting the Output of Electrical Energy Received from a Solar Panel
(2024)

Methods and technologies for managing synchronization of MicroGrid with external networks.
(2024)

Short-Term Prediction of the Wind Speed Based on a Learning Process Control Algorithm in Isolated Power Systems
(2023)

Forecasting of Electricity Consumption by Household Consumers Using Fuzzy Logic Based on the Development Plan of the Power System of the Republic of Tajikistan
(2023)

Control of Operational Modes of an Urban Distribution Grid under Conditions of Uncertainty
(2023)

Design Methodology of Intelligent Autonomous Distributed Hybrid Power Complexes with Renewable Energy Sources
(2023)

Methodology for Power Systems’ Emergency Control Based on Deep Learning and Synchronized Measurements
(2023)

Short-Term Solar Insolation Forecasting in Isolated Hybrid Power Systems Using Neural Networks
(2023)

Improvement of Adaptive Single-Phase Automatic Reclosing in Extra-High Voltage Lines
(2022)

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)