Aleksei Zhukov
Aleksei Zhukov
Research Fellow in Institute of Solar-Terrestrial Physics SB RAS
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TitleCited byYear
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
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
Machine learning techniques for power system security assessment
NV Tomin, VG Kurbatsky, DN Sidorov, AV Zhukov
IFAC-PapersOnLine 49 (27), 445-450, 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
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
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
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
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
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
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
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
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
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
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
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
On Road Defects Detection and Classification.
TH Nguyen, AV Zhukov, The Long Nguyen
AIST (Supplement), 264-275, 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
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
Voltage/VAR control and optimization: aI approach
N Tomin, V Kurbatsky, D Panasetsky, D Sidorov, A Zhukov
IFAC-PapersOnLine 51 (28), 103-108, 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
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