| Design and optimal energy management of community microgrids with flexible renewable energy sources N Tomin, V Shakirov, A Kozlov, D Sidorov, V Kurbatsky, C Rehtanz, ... Renewable Energy 183, 903-921, 2022 | 153 | 2022 |
| A dynamic analysis of energy storage with renewable and diesel generation using Volterra equations D Sidorov, I Muftahov, N Tomin, D Karamov, D Panasetsky, A Dreglea, ... IEEE Transactions on Industrial Informatics 16 (5), 3451-3459, 2019 | 85 | 2019 |
| Ensemble methods of classification for power systems security assessment A Zhukov, N Tomin, V Kurbatsky, D Sidorov, D Panasetsky, A Foley Applied computing and informatics 15 (1), 45-53, 2019 | 58 | 2019 |
| Machine learning techniques for power system security assessment NV Tomin, VG Kurbatsky, DN Sidorov, AV Zhukov IFAC-PapersOnLine 49 (27), 445-450, 2016 | 56 | 2016 |
| Development of an intelligent system for preventing large-scale emergencies in power systems M Negnevitsky, N Voropai, V Kurbatsky, N Tomin, D Panasetsky 2013 IEEE Power & Energy Society General Meeting, 1-5, 2013 | 55 | 2013 |
| Random forest based model for preventing large-scale emergencies in power systems N Tomin, A Zhukov, D Sidorov, V Kurbatsky, D Panasetsky, V Spiryaev International Journal of Artificial Intelligence 13 (1), 211-228, 2015 | 53 | 2015 |
| Toward zero-emission hybrid AC/DC power systems with renewable energy sources and storages: A case study from lake Baikal region D Sidorov, D Panasetsky, N Tomin, D Karamov, A Zhukov, I Muftahov, ... Energies 13 (5), 1226, 2020 | 51 | 2020 |
| On the neural network approach for forecasting of nonstationary time series on the basis of the Hilbert-Huang transform VG Kurbatskii, DN Sidorov, VA Spiryaev, NV Tomin Automation and remote control 72, 1405-1414, 2011 | 47 | 2011 |
| Development of digital twin for load center on the example of distribution network of an urban district N Tomin, V Kurbatsky, V Borisov, S Musalev E3S Web of Conferences 209, 02029, 2020 | 38 | 2020 |
| Deep reinforcement learning for energy microgrids management considering flexible energy sources N Tomin, A Zhukov, A Domyshev EPJ Web of Conferences 217, 01016, 2019 | 38 | 2019 |
| A multi-criteria approach to designing and managing a renewable energy community N Tomin, V Shakirov, V Kurbatsky, R Muzychuk, E Popova, D Sidorov, ... Renewable Energy 199, 1153-1175, 2022 | 36 | 2022 |
| Two-stage optimization of a virtual power plant incorporating with demand response and energy complementation J Cao, Y Zheng, X Han, D Yang, J Yu, N Tomin, P Dehghanian Energy reports 8, 7374-7385, 2022 | 34 | 2022 |
| Forecasting nonstationary time series based on Hilbert-Huang transform and machine learning VG Kurbatsky, DN Sidorov, VA Spiryaev, NV Tomin Automation and Remote Control 75, 922-934, 2014 | 34 | 2014 |
| Intelligent coordinated operation and emergency control in electric power systems NI Voropai, IN Kolosok, VG Kurbatsky, PV Etingov, NV Tomin, ES Korkina, ... IFAC Proceedings Volumes 43 (1), 198-203, 2010 | 32 | 2010 |
| Optimal operation control of PV-biomass gasifier-diesel-hybrid systems using reinforcement learning techniques AN Kozlov, NV Tomin, DN Sidorov, EES Lora, VG Kurbatsky Energies 13 (10), 2632, 2020 | 27 | 2020 |
| Intelligent control of a wind turbine based on reinforcement learning N TOMIN, V KURBATSKY, H GULIYEV 2019 16th Conference on Electrical Machines, Drives and Power Systems (ELMA …, 2019 | 26 | 2019 |
| Intelligent approach for preventing large-scale emergencies in electric power systems M Negnevitsky, N Tomin, D Panasetsky, V Kurbatsky University of Tasmania, 2013 | 25 | 2013 |
| Management of voltage flexibility from inverter-based distributed generation using multi-agent reinforcement learning N Tomin, N Voropai, V Kurbatsky, C Rehtanz Energies 14 (24), 8270, 2021 | 23 | 2021 |
| A random forest-based approach for voltage security monitoring in a power system M Negnevitsky, N Tomin, V Kurbatsky, D Panasetsky, A Zhukov, ... 2015 IEEE Eindhoven PowerTech, 1-6, 2015 | 23 | 2015 |
| The hybrid model based on Hilbert-Huang Transform and neural networks for forecasting of short-term operation conditions of power system VG Kurbatsky, DN Sidorov, VA Spiryaev, NV Tomin 2011 IEEE Trondheim PowerTech, 1-7, 2011 | 23 | 2011 |
