Application of neural-network based variable fractional order PID controllers for load frequency control in isolated microgridsBelikov, Juri; Nosrati, Komeil; Škiparev, Vjatšeslav; Tepljakov, Aleksei; Petlenkov, Eduard; Levron, YoashPower system frequency control : modeling and advances. 1st Ed2023 / p. 203–216 : ill https://www.elsevier.com/books/power-system-frequency-control/mishra/978-0-443-18426-0

Constrained intelligent frequency control in an AC Microgrid : an Online reinforcement learning based PID tuning approachNosrati, Komeil; Tepljakov, Aleksei; Petlenkov, Eduard; Škiparev, Vjatšeslav; Belikov, Juri; Levron, Yoash2023 IEEE Power & Energy Society General Meeting (PESGM)2023 / 5 p. : ill https://doi.org/10.1109/PESGM52003.2023.10252482

Coordinated PI-based frequency deviation control of isolated hybrid microgrid : an online multi-agent tuning approach via reinforcement learningNosrati, Komeil; Tepljakov, Aleksei; Petlenkov, Eduard; Levron, Yoash; Škiparev, Vjatšeslav; Belikov, Juri2022 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe) : proceedings2022 / p. 1-5 : ill https://doi.org/10.1109/ISGT-Europe54678.2022.9960311

An enhanced NN-based load frequency control design of MGs : a fractional order modeling methodŠkiparev, Vjatšeslav; Nosrati, Komeil; Belikov, Juri; Tepljakov, Aleksei; Petlenkov, Eduard2023 IEEE 17th International Conference on Compatibility, Power Electronics and Power Engineering (CPE-POWERENG)2023 / 6 p https://doi.org/10.1109/CPE-POWERENG58103.2023.10227392

MIMO reinforcement learning based approach for frequency support in microgrids with high renewable energy penetrationŠkiparev, Vjatšeslav; Belikov, Juri; Petlenkov, Eduard2021 IEEE Power & Energy Society General Meeting (PESGM), 26-29 July 20212021 / 5 p. : ill https://doi.org/10.1109/PESGM46819.2021.9637942

NN-SANARX model based control of a water tank system using embedded microcontroller ArduinoŠkiparev, Vjatšeslav; Belikov, Juri; Petlenkov, EduardProceedings of the 2019 10th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications : IDAACS'2019, 18-21 Sept. 20192019 / p. 372-377 : ill https://doi.org/10.1109/IDAACS47747.2019

Reinforcement learning based approach for virtual inertia control in microgrids with renewable energy sourcesŠkiparev, Vjatšeslav; Belikov, Juri; Petlenkov, EduardProceedings of 2020 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe), 26-28 October, 20202020 / p. 1020-1024 https://doi.org/10.1109/ISGT-Europe47291.2020.9248777

Reinforcement learning based MIMO controller for virtual inertia control in isolated microgridsŠkiparev, Vjatšeslav; Belikov, Juri; Petlenkov, Eduard; Levron, Yoash2022 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe) : proceedings2022 / art. 184786, 5 p. : ill https://doi.org/10.1109/ISGT-Europe54678.2022.9960447

Virtual inertia control methods in islanded microgridsŠkiparev, Vjatšeslav; Machlev, Ram; Chowdhury, Nilanjan Roy; Levron, Yoash; Petlenkov, Eduard; Belikov, JuriEnergies2021 / art. 1562, 20 p. : ill https://doi.org/10.3390/en14061562 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

Virtual inertia control of isolated microgrids using an NN-based VFOPID controllerŠkiparev, Vjatšeslav; Nosrati, Komeil; Tepljakov, Aleksei; Petlenkov, Eduard; Levron, Yoash; Belikov, Juri; Guerrero, Joseph M.IEEE Transactions on sustainable energy2023 / p. 1558-1568 https://doi.org/10.1109/TSTE.2023.3237922

Virtual inertia control of microgrids using deep reinforcement learning methods = Mikrovõrkude virtuaalse inertsi juhtimine sügava stiimulõppe meetoditegaŠkiparev, Vjatšeslav2023 https://doi.org/10.23658/taltech.37/2023 https://digikogu.taltech.ee/et/Item/6d924a63-2390-4324-bf1c-00b24111605e https://www.ester.ee/record=b5571224*est