| Learning with adaptive conservativeness for distributionally robust optimization: Incentive design for voltage regulation Z Liang, Q Li, J Comden, A Bernstein, Y Dvorkin arXiv preprint arXiv:2408.02765, 2024 | 2 | 2024 |
| Revealing Decision Conservativeness Through Inverse Distributionally Robust Optimization Q Li, Z Liang, A Bernstein, Y Dvorkin IEEE Control Systems Letters, 2024 | 2 | 2024 |
| A Distributionally Robust Model Predictive Control for Static and Dynamic Uncertainties in Smart Grids Q Li, Y Shi, Y Jiang, Y Shi, H Wang, HV Poor IEEE Transactions on Smart Grid, 2024 | 2 | 2024 |
| Distributionally robust optimization for vehicle-to-grid with uncertain renewable energy Q Li, P Tian, Y Shi, Y Shi, HD Tuan 2022 11th International Conference on Control, Automation and Information …, 2022 | 2 | 2022 |
| Prescribing Decision Conservativeness in Two-Stage Power Markets: A Distributionally Robust End-to-End Approach Z Liang, Q Li, A Liu, Y Dvorkin arXiv preprint arXiv:2412.10554, 2024 | | 2024 |
Uzi (Yury) DvorkinJohns Hopkins UniversityVerified email at jhu.edu