| 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 | 28 | 2015 |
| 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 | 21 | 2016 |
| Machine learning techniques for power system security assessment NV Tomin, VG Kurbatsky, DN Sidorov, AV Zhukov IFAC-PapersOnLine 49 (27), 445-450, 2016 | 15 | 2016 |
| Elektromagnitnaya sovmestimost'v elektroenergetike i elektrotekhnike [Electromagnetic compatibility in power engineering and electrical engineering] AF Dyakov, BK Maksimov, RK Borisov, IP Kuzhekin, AV Zhukov Moscow, Energoatomizdat Publ, 2003 | 13 | 2003 |
| 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 | 12 | 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 | 12 | 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 | 9 | 2015 |
| 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 | 8 | 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 | 6 | 2018 |
| 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 | 6 | 2018 |
| 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 | 6 | 2016 |
| 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 | 5 | 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 | 5 | 2016 |
| Power system parameters forecasting using Hilbert-Huang transform and machine learning V Kurbatsky, N Tomin, V Spiryaev, P Leahy, D Sidorov, A Zhukov arXiv preprint arXiv:1404.2353, 2014 | 5 | 2014 |
| 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 | 4 | 2017 |
| On Road Defects Detection and Classification. TH Nguyen, AV Zhukov, The Long Nguyen AIST (Supplement), 264-275, 2016 | 4 | 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 | 4 | 2014 |
| 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 | 3 | 2018 |
| Voltage/VAR control and optimization: aI approach N Tomin, V Kurbatsky, D Panasetsky, D Sidorov, A Zhukov IFAC-PapersOnLine 51 (28), 103-108, 2018 | 3 | 2018 |
| 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 | 2 | 2019 |
Denis N. SidorovProfessor of Russian Academy of SciencesVerified email at mail.iszf.irk.ru
