| 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 | 18 | 2021 |
| 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 | 15 | 2022 |
| Power grid reliability estimation via adaptive importance sampling A Lukashevich, Y Maximov IEEE Control Systems Letters 6, 1010-1015, 2021 | 14 | 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, 2023 | 11 | 2023 |
| 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 | 6 | 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 | 4 | 2023 |
| 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 | 3 | 2023 |
| Data-driven stochastic AC-OPF using Gaussian processes M Mitrovic arXiv preprint arXiv:2402.11365, 2024 | 2 | 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 |
| 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, 2024 | | 2024 |
| Importance Sampling Approach for Dynamic Stochastic Optimal Power Flow Control A Lukashevich, A Bulkin, R Grinis, I Makarov, Y Maximov arXiv preprint arXiv:2310.02509, 2023 | | 2023 |
