Aleksandr Lukashevich

11 papers Journal 10Unranked 1
YearRankTypeTitle / Venue / Authors
2024 J jnl
A-Priori Reduction of Scenario Approximation for Automated Generation Control in High-Voltage Power Grids With Renewable Energy.
IEEE Control. Syst. Lett.
Aleksandr Lukashevich, Aleksandr Bulkin, Yury Maximov
2024 J jnl
Climate Change Impact on Agricultural Land Suitability: An Interpretable Machine Learning-Based Eurasia Case Study.
IEEE Access
Valeriy Shevchenko, Aleksandr Lukashevich, Daria Taniushkina, Alexander Bulkin, Roland Grinis, Kirill Kovalev, Veronika Narozhnaia, Nazar Sotiriadi, Alexander Krenke, Yury Maximov
2023 J jnl
CMIP X-MOS: Improving Climate Models with Extreme Model Output Statistics.
CoRR
Vsevolod Morozov, Artem Galliamov, Aleksandr Lukashevich, Antonina Kurdukova, Yury Maximov
2023 J jnl
Climate Change Impact on Agricultural Land Suitability: An Interpretable Machine Learning-Based Eurasia Case Study.
CoRR
Valeriy Shevchenko, Daria Taniushkina, Aleksandr Lukashevich, Aleksander Bulkin, Roland Grinis, Kirill Kovalev, Veronika Narozhnaia, Nazar Sotiriadi, Alexander Krenke, Yury Maximov
2023 J jnl
GP CC-OPF: Gaussian Process based optimization tool for Chance-Constrained Optimal Power Flow.
CoRR
Mile Mitrovic, Ognjen Kundacina, Aleksandr Lukashevich, Petr Vorobev, Vladimir V. Terzija, Yury Maximov, Deepjyoti Deka
2023 J jnl
GP CC-OPF: Gaussian Process based optimization tool for Chance-Constrained Optimal Power Flow.
Softw. Impacts
Mile Mitrovic, Ognjen Kundacina, Aleksandr Lukashevich, Semen A. Budennyy, Petr Vorobev, Vladimir V. Terzija, Yury Maximov, Deepjyoti Deka
2022 J jnl
Data-Driven Chance Constrained AC-OPF using Hybrid Sparse Gaussian Processes.
CoRR
Mile Mitrovic, Aleksandr Lukashevich, Petr Vorobev, Vladimir V. Terzija, Yury Maximov, Deepjyoti Deka
2022 J jnl
Data-Driven Stochastic AC-OPF using Gaussian Processes.
CoRR
Mile Mitrovic, Aleksandr Lukashevich, Petr Vorobev, Vladimir V. Terzija, Semen A. Budennyy, Yury Maximov, Deepjyoti Deka
2022 J jnl
Hyperfast second-order local solvers for efficient statistically preconditioned distributed optimization.
EURO J. Comput. Optim.
Pavel E. Dvurechensky, Dmitry Kamzolov, Aleksandr Lukashevich, Soomin Lee, Erik Ordentlich, César A. Uribe, Alexander V. Gasnikov
2022 J jnl
Power Grid Reliability Estimation via Adaptive Importance Sampling.
IEEE Control. Syst. Lett.
Aleksandr Lukashevich, Yury Maximov
2021 — conf
An Accelerated Second-Order Method for Distributed Stochastic Optimization.
CDC
Artem Agafonov, Pavel E. Dvurechensky, Gesualdo Scutari, Alexander V. Gasnikov, Dmitry Kamzolov, Aleksandr Lukashevich, Amir Daneshmand