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Aleksei Zhukov
Aleksei Zhukov
Research Fellow in Institute of Solar-Terrestrial Physics SB RAS
Verified email at mail.iszf.irk.ru
Title
Cited by
Cited by
Year
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
512016
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
452015
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
362019
Machine learning techniques for power system security assessment
NV Tomin, VG Kurbatsky, DN Sidorov, AV Zhukov
IFAC-PapersOnLine 49 (27), 445-450, 2016
312016
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
292020
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
262019
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
192019
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
192015
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
182015
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
172018
Deep reinforcement learning for energy microgrids management considering flexible energy sources
N Tomin, A Zhukov, A Domyshev
EPJ Web of Conferences 217, 01016, 2019
162019
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
162015
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
142018
GIMLi: Global Ionospheric total electron content model based on machine learning
AV Zhukov, YV Yasyukevich, AE Bykov
GPS Solutions 25 (1), 1-9, 2021
102021
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
102016
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
92017
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
82018
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
72018
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
72016
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
72014
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