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Курбацкий Виктор Григорьевич

Электронная почта
kurbatsky@isem.irk.ru
Рабочий телефон
500-646 (239)
Кабинет №
239
Ученая степень
доктор технических наук
Должность
главный научный сотрудник
Ученое звание
профессор
Подразделение
Отдел электроэнергетических систем № 40
Публикации по годам: Все2020201920182017201620152014
81. 
Kurbatsky V.G., Tomin N.V. Intelligent Monitoring and Forecasting of State Variables in the Electric Power System // Proceedings of IEEE PES PowerTech 2011. Trondheim Norway. 20-23 June 2011. 6 p.
82. 
Kurbatsky V.G., Sidorov D.N., Spiryaev V.A. et al.  Short-term forecasting parameters of EPS for systems of operating and emergency control // Proc. of 3rd International Conference "Actual Trends in Development of Power System Protection and Automation". Saint Petersburg Russia. 30 May-03 June 2011. 6 p.
83. 
Kurbatsky V.G., Sidorov D.N., Spiryaev V.A. et al.  Application of two stages adaptive neural network approach for short-term forecast of electric power system // Proc. of 10th Intern. Conf. on Environment and Electrical Engineering. Rome Italy. 08-11 May 2011. 6 p.
84. 
Kurbatsky V.G., Sidorov D.N., Spiryaev V.A. et al.  Intelligent System for Nonlinear Prediction based on ANN and Hilbert-Huang Transform // Proc. of IEEE Conf. on Machine Learning and Computing. Singapore. 26-28 February 2011. P.499-503.
85. 
Kurbatsky V.G., Sidorov D.N., Spiryaev V.A. et al.  Hybrid Model for Short-Term Forecasting in Electric Power System // Int. J. of Machine Learning and Computing. Vol.1. No.2. 2011. P.138-147.
86. 
Kurbatsky V.G., Sidorov D.N., Spiryaev V.A. et al.  Neural networks optimization through simulated annealing for the short-term forecasting state variables of energy power systems // Electroenergetics, electrotechnics, electromechanics+control. Vol.2. No.2. 2011. P.12-24. DOI: 10.1134/S0005117911070083.
87. 
Voropai N., Kolosok I., Korkina E., Paltsev A., Glazunova A., Kurbatsky V., Tomin N., Gamm A., Golub I., Bershansky R., Panasetsky D.A., Efimov D., Popov D., Rehtanz C., Häger U. Coordinated intelligent operation and emergency control of electric power systems // Innovation in Power, Control and Optimization: Emerging Energy Technologies / Hershey: Eng.Sci.Ref..  2011. P.1-56. ISBN (print): 978161
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