| Random forest based approach for concept drift handling AV Zhukov, DN Sidorov, AM Foley International Conference on Analysis of Images, Social Networks and Texts, 69-77, 2016 | 51 | 2016 |
| 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 | 45 | 2015 |
| 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 | 36 | 2019 |
| Machine learning techniques for power system security assessment NV Tomin, VG Kurbatsky, DN Sidorov, AV Zhukov IFAC-PapersOnLine 49 (27), 445-450, 2016 | 31 | 2016 |
| 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 | 29 | 2020 |
| Control of accuracy on Taylor-collocation method for load leveling problem N Samad, S Denis, M Ildar, Z Aleksei Известия Иркутского государственного университета. Серия: Математика 30, 59-72, 2019 | 26 | 2019 |
| Energy balancing using charge/discharge storages control and load forecasts in a renewable-energy-based grids D Sidorov, Q Tao, I Muftahov, A Zhukov, D Karamov, A Dreglea, F Liu 2019 Chinese Control Conference (CCC), 6865-6870, 2019 | 19 | 2019 |
| 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 | 19 | 2015 |
| A hybrid artificial neural network for voltage security evaluation in a power system A Zhukov, N Tomin, D Sidorov, D Panasetsky, V Spirayev 2015 5th International Youth Conference on Energy (IYCE), 1-8, 2015 | 18 | 2015 |
| Machine learning methodology for ionosphere total electron content nowcasting A Zhukov, D Sidorov, A Mylnikova, Y Yasyukevich International Journal of Artificial Intelligence 16 (1), 144-157, 2018 | 17 | 2018 |
| Deep reinforcement learning for energy microgrids management considering flexible energy sources N Tomin, A Zhukov, A Domyshev EPJ Web of Conferences 217, 01016, 2019 | 16 | 2019 |
| Development of software for modelling decentralized intelligent systems for security monitoring and control in power systems D Panasetsky, N Tomin, N Voropai, V Kurbatsky, A Zhukov, D Sidorov 2015 IEEE Eindhoven PowerTech, 1-6, 2015 | 16 | 2015 |
| On-line power systems security assessment using data stream random forest algorithm modification A Zhukov, N Tomin, D Sidorov, V Kurbatsky, D Panasetsky Innovative Computing, Optimization and Its Applications, 183-200, 2018 | 14 | 2018 |
| GIMLi: Global Ionospheric total electron content model based on machine learning AV Zhukov, YV Yasyukevich, AE Bykov GPS Solutions 25 (1), 1-9, 2021 | 10 | 2021 |
| Development of computional intelligence-based algorithms of preventing voltage collapse in power systems with a complex multi-loop structure N Voropai, N Tomin, V Kurbatsky, D Panasetsky, D Sidorov, A Zhukov 2016 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC), 1-5, 2016 | 10 | 2016 |
| Development of automatic intelligent system for on-line voltage security control of power systems N Tomin, A Zhukov, V Kurbatsky, D Sidorov, M Negnevitsky 2017 IEEE Manchester PowerTech, 1-6, 2017 | 9 | 2017 |
| A suite of intelligent tools for early detection and prevention of blackouts in power interconnections NI Voropai, NV Tomin, DN Sidorov, VG Kurbatsky, DA Panasetsky, ... Automation and Remote Control 79 (10), 1741-1755, 2018 | 8 | 2018 |
| Volterra models in load leveling problem D Sidorov, A Zhukov, A Foley, A Tynda, I Muftahov, D Panasetsky, Y Li E3S Web of Conferences 69, 01015, 2018 | 7 | 2018 |
| A combined work optimization technology under resource constraints with an application to road repair AA Lempert, DN Sidorov, AV Zhukov, GL Nguyen Automation and Remote Control 77 (11), 1883-1893, 2016 | 7 | 2016 |
| A hybrid wind speed forecasting strategy based on Hilbert-Huang transform and machine learning algorithms N Tomin, D Sidorov, V Kurbatsky, V Spiryaev, A Zhukov, P Leahy 2014 International Conference on Power System Technology, 2980-2986, 2014 | 7 | 2014 |
Denis Sidorov (Д.Н. Сидоров)Professor of Russian Academy of SciencesVerified email at isem.irk.ru
