Aleksei Zhukov
Aleksei Zhukov
Independent Reseacher in Institute for Globally Distributed Open Research and Education (IGDORE)
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Cited by
Cited by
Random forest based approach for concept drift handling
AV Zhukov, DN Sidorov, AM Foley
Analysis of Images, Social Networks and Texts: 5th International Conference …, 2017
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
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
GIMLi: Global Ionospheric total electron content model based on machine learning
AV Zhukov, YV Yasyukevich, AE Bykov
GPS Solutions 25 (1), 19, 2021
Machine learning techniques for power system security assessment
NV Tomin, VG Kurbatsky, DN Sidorov, AV Zhukov
IFAC-PapersOnLine 49 (27), 445-450, 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
Machine learning methodology for ionosphere total electron content nowcasting
A Zhukov, D Sidorov, A Mylnikova, Y Yasyukevich
Int. J. Artif. Intell 16 (1), 144-157, 2018
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
Deep reinforcement learning for energy microgrids management considering flexible energy sources
N Tomin, A Zhukov, A Domyshev
EPJ Web of Conferences 217, 01016, 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
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
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
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
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: modelling and …, 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
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, 1741-1755, 2018
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
Optimization of isolated power systems with renewables and storage batteries based on nonlinear Volterra models for the specially protected natural area of lake Baikal
DN Karamov, DN Sidorov, IR Muftahov, AV Zhukov, F Liu
Journal of Physics: Conference Series 1847 (1), 012037, 2021
Voltage/VAR control and optimization: aI approach
N Tomin, V Kurbatsky, D Panasetsky, D Sidorov, A Zhukov
IFAC-PapersOnLine 51 (28), 103-108, 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
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