Birth date: 18.12.1982
Phone: +79149116457
Website: https://compvis.isu.ru
Keywords: power system, control, artificial intelligence, forecasting, ensemble classification and regression, machine learning
UDC: , 517.977.5, 519.237.8, 629.039.58

Subject:

Artificial intelligence applications in power systems

Main publications:

1. V. G. Kurbatskii, D. N. Sidorov, V. A. Spiryaev, N. V. Tomin,, “O neirosetevom podkhode k prognozirovaniyu nestatsionarnykh vremennykh ryadov na osnove preobrazovaniya Gilberta–Khuanga”, Avtomat. i telemekh., 2011, № 7, 58–68
2. V. G. Kurbatskii, D. N. Sidorov, V. A. Spiryaev, N. V. Tomin, “Prognozirovanie nestatsionarnykh vremennykh ryadov na osnove preobrazovaniya Gilberta–Khuanga i mashinnogo obucheniya”, Avtomat. i telemekh., 2014, № 7, 143-158
3. A. Zhukov, N. Tomin, D. Sidorov, V. Kurbatsky, D. Panasetsky, On-Line Power Systems Security Assessment Using Data Stream Random Forest Algorithm Modification, Innovative Computing, Optimization and Its Applications: Modelling and Simulations,, Studies in Computational Intelligence, 741, Springer Ac. Publ. AG, Berlin–Heidelberg, 2018
4. N.I. Voropai, V.G. Kurbatskii, N.V. Tomin, D.A. Panasetskii, D.N. Sidorov, A.V. Zhukov, D.N. Efimov, A.B. Osak, V.A. Spiryaev, A.V. Domyshev, Kompleks intellektualnykh sredstv dlya predotvrascheniya krupnykh avarii v elektroenergeticheskikh sistemakh, Nauka, 2016
5. N. Tomin, A. Zhukov, D. Sidorov, V. Kurbatsky, D. Panasetsky, V. Spiryaev, “Random Forest Based Model for Preventing Large-Scale Emergencies in Power Systems”, Journal of Artificial Intelligence, 13:1 (2015), 211–228

Publications in Math-Net.Ru

Personal pages:

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Organisations:

• L. A. Melentiev Energy Systems Institute, Siberian Branch of the Russian Academy of Sciences, Irkutsk