Aleksandr Lukashevich

According to our database, Aleksandr Lukashevich authored at least 11 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

A-Priori Reduction of Scenario Approximation for Automated Generation Control in High-Voltage Power Grids With Renewable Energy.

Aleksandr Lukashevich, Aleksandr Bulkin, Yury Maximov

IEEE Control. Syst. Lett., 2024

Climate Change Impact on Agricultural Land Suitability: An Interpretable Machine Learning-Based Eurasia Case Study.

Valeriy Shevchenko, Aleksandr Lukashevich, Daria Taniushkina, Alexander Bulkin, Roland Grinis, Kirill Kovalev, Veronika Narozhnaia, Nazar Sotiriadi, Alexander Krenke, Yury Maximov

IEEE Access, 2024

2023

GP CC-OPF: Gaussian Process based optimization tool for Chance-Constrained Optimal Power Flow.

Mile Mitrovic, Ognjen Kundacina, Aleksandr Lukashevich, Semen A. Budennyy, Petr Vorobev, Vladimir V. Terzija, Yury Maximov, Deepjyoti Deka

Softw. Impacts, May, 2023

CMIP X-MOS: Improving Climate Models with Extreme Model Output Statistics.

Vsevolod Morozov, Artem Galliamov, Aleksandr Lukashevich, Antonina Kurdukova, Yury Maximov

CoRR, 2023

Climate Change Impact on Agricultural Land Suitability: An Interpretable Machine Learning-Based Eurasia Case Study.

Valeriy Shevchenko, Daria Taniushkina, Aleksandr Lukashevich, Aleksander Bulkin, Roland Grinis, Kirill Kovalev, Veronika Narozhnaia, Nazar Sotiriadi, Alexander Krenke, Yury Maximov

CoRR, 2023

GP CC-OPF: Gaussian Process based optimization tool for Chance-Constrained Optimal Power Flow.

Mile Mitrovic, Ognjen Kundacina, Aleksandr Lukashevich, Petr Vorobev, Vladimir V. Terzija, Yury Maximov, Deepjyoti Deka

CoRR, 2023

2022

Hyperfast second-order local solvers for efficient statistically preconditioned distributed optimization.

Pavel E. Dvurechensky, Dmitry Kamzolov, Aleksandr Lukashevich, Soomin Lee, Erik Ordentlich, César A. Uribe, Alexander V. Gasnikov

EURO J. Comput. Optim., 2022

Power Grid Reliability Estimation via Adaptive Importance Sampling.

Aleksandr Lukashevich, Yury Maximov

IEEE Control. Syst. Lett., 2022

Data-Driven Chance Constrained AC-OPF using Hybrid Sparse Gaussian Processes.

Mile Mitrovic, Aleksandr Lukashevich, Petr Vorobev, Vladimir V. Terzija, Yury Maximov, Deepjyoti Deka

CoRR, 2022

Data-Driven Stochastic AC-OPF using Gaussian Processes.

Mile Mitrovic, Aleksandr Lukashevich, Petr Vorobev, Vladimir V. Terzija, Semen Budenny, Yury Maximov, Deepjyoti Deka

CoRR, 2022

2021

An Accelerated Second-Order Method for Distributed Stochastic Optimization.

Artem Agafonov, Pavel E. Dvurechensky, Gesualdo Scutari, Alexander V. Gasnikov, Dmitry Kamzolov, Aleksandr Lukashevich, Amir Daneshmand

Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021