| Hyperfast second-order local solvers for efficient statistically preconditioned distributed optimization P Dvurechensky, D Kamzolov, A Lukashevich, S Lee, E Ordentlich, ... EURO Journal on Computational Optimization 10, 100045, 2022 | 20 | 2022 |
| An accelerated second-order method for distributed stochastic optimization A Agafonov, P Dvurechensky, G Scutari, A Gasnikov, D Kamzolov, ... 2021 60th IEEE Conference on Decision and Control (CDC), 2407-2413, 2021 | 20 | 2021 |
| Power grid reliability estimation via adaptive importance sampling A Lukashevich, Y Maximov IEEE Control Systems Letters 6, 1010-1015, 2021 | 16 | 2021 |
| Importance sampling approach to chance-constrained dc optimal power flow A Lukashevich, V Gorchakov, P Vorobev, D Deka, Y Maximov IEEE Transactions on Control of Network Systems 11 (2), 928-937, 2023 | 12 | 2023 |
| Climate change impact on agricultural land suitability: An interpretable machine learning-based Eurasia case study V Shevchenko, A Lukashevich, D Taniushkina, A Bulkin, R Grinis, ... IEEE Access 12, 15748-15763, 2024 | 9 | 2024 |
| Gp cc-opf: Gaussian process based optimization tool for chance-constrained optimal power flow M Mitrovic, O Kundacina, A Lukashevich, S Budennyy, P Vorobev, ... Software Impacts 16, 100489, 2023 | 7 | 2023 |
| Data-driven stochastic AC-OPF using Gaussian process regression M Mitrovic, A Lukashevich, P Vorobev, V Terzija, S Budennyy, Y Maximov, ... International Journal of Electrical Power & Energy Systems 152, 109249, 2023 | 6 | 2023 |
| Case study on climate change effects and food security in Southeast Asia D Taniushkina, A Lukashevich, V Shevchenko, IS Belalov, N Sotiriadi, ... Scientific Reports 14 (1), 16150, 2024 | 5 | 2024 |
| CMIP X-MOS: Improving Climate Models with Extreme Model Output Statistics V Morozov, A Galliamov, A Lukashevich, A Kurdukova, Y Maximov arXiv preprint arXiv:2311.03370, 2023 | 5 | 2023 |
| Data-driven stochastic AC-OPF using Gaussian processes M Mitrovic, A Lukashevich, P Vorobev, V Terzija, S Budenny, Y Maximov, ... arXiv preprint arXiv:2207.10781, 2022 | 5 | 2022 |
| Climate change impact on agricultural land suitability: A machine learning-based eurasia case study V Shevchenko, D Taniushkina, A Lukashevich, A Bulkin, R Grinis, ... arXiv preprint arXiv:2310.15912, 2023 | 2 | 2023 |
| A-priori reduction of scenario approximation for automated generation control in high-voltage power grids with renewable energy A Lukashevich, A Bulkin, Y Maximov IEEE Control Systems Letters, 2024 | 1 | 2024 |
| Fast Data-Driven Chance Constrained AC-OPF Using Hybrid Sparse Gaussian Processes M Mitrovic, A Lukashevich, P Vorobev, V Terzija, Y Maximov, D Deka 2023 IEEE Belgrade PowerTech, 1-7, 2023 | 1 | 2023 |
| Data-driven chance constrained AC-OPF using hybrid sparse Gaussian processes M Mitrovic, A Lukashevich, P Vorobev, V Terzija, Y Maximov, D Deka arXiv preprint arXiv:2208.14814, 2022 | 1 | 2022 |
| Data-Driven Stochastic AC-OPF using Gaussian Processes M Mitrovic arXiv preprint arXiv:2402.11365, 2024 | | 2024 |
