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ORCIDAleksandr Lukashevich
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2020 – today
- 2024
[j5]Valeriy Shevchenko
, Aleksandr Lukashevich, Daria Taniushkina, Alexander Bulkin, Roland Grinis, Kirill Kovalev, Veronika Narozhnaia, Nazar Sotiriadi, Alexander Krenke, Yury Maximov:
Climate Change Impact on Agricultural Land Suitability: An Interpretable Machine Learning-Based Eurasia Case Study. IEEE Access 12: 15748-15763 (2024)- [j4]Aleksandr Lukashevich, Aleksandr Bulkin, Yury Maximov:
A-Priori Reduction of Scenario Approximation for Automated Generation Control in High-Voltage Power Grids With Renewable Energy. IEEE Control. Syst. Lett. 8: 1613-1618 (2024) - 2023
- [j3]Mile Mitrovic, Ognjen Kundacina, Aleksandr Lukashevich, Semen A. Budennyy, Petr Vorobev, Vladimir V. Terzija, Yury Maximov, Deepjyoti Deka:
GP CC-OPF: Gaussian Process based optimization tool for Chance-Constrained Optimal Power Flow. Softw. Impacts 16: 100489 (2023) - [i5]Mile Mitrovic, Ognjen Kundacina, Aleksandr Lukashevich, Petr Vorobev, Vladimir V. Terzija, Yury Maximov, Deepjyoti Deka:
GP CC-OPF: Gaussian Process based optimization tool for Chance-Constrained Optimal Power Flow. CoRR abs/2302.08454 (2023) - [i4]Valeriy Shevchenko, Daria Taniushkina, Aleksandr Lukashevich, Aleksander Bulkin, Roland Grinis, Kirill Kovalev, Veronika Narozhnaia, Nazar Sotiriadi, Alexander Krenke, Yury Maximov:
Climate Change Impact on Agricultural Land Suitability: An Interpretable Machine Learning-Based Eurasia Case Study. CoRR abs/2310.15912 (2023) - [i3]Vsevolod Morozov, Artem Galliamov, Aleksandr Lukashevich, Antonina Kurdukova, Yury Maximov:
CMIP X-MOS: Improving Climate Models with Extreme Model Output Statistics. CoRR abs/2311.03370 (2023) - 2022
- [j2]Aleksandr Lukashevich, Yury Maximov:
Power Grid Reliability Estimation via Adaptive Importance Sampling. IEEE Control. Syst. Lett. 6: 1010-1015 (2022) - [j1]Pavel E. Dvurechensky, Dmitry Kamzolov, Aleksandr Lukashevich, Soomin Lee, Erik Ordentlich, César A. Uribe, Alexander V. Gasnikov:
Hyperfast second-order local solvers for efficient statistically preconditioned distributed optimization. EURO J. Comput. Optim. 10: 100045 (2022) - [i2]Mile Mitrovic, Aleksandr Lukashevich, Petr Vorobev, Vladimir V. Terzija, Semen Budenny, Yury Maximov, Deepjyoti Deka:
Data-Driven Stochastic AC-OPF using Gaussian Processes. CoRR abs/2207.10781 (2022) - [i1]Mile Mitrovic, Aleksandr Lukashevich, Petr Vorobev, Vladimir V. Terzija, Yury Maximov, Deepjyoti Deka:
Data-Driven Chance Constrained AC-OPF using Hybrid Sparse Gaussian Processes. CoRR abs/2208.14814 (2022) - 2021
- [c1]Artem Agafonov, Pavel E. Dvurechensky, Gesualdo Scutari, Alexander V. Gasnikov, Dmitry Kamzolov, Aleksandr Lukashevich, Amir Daneshmand:
An Accelerated Second-Order Method for Distributed Stochastic Optimization. CDC 2021: 2407-2413
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