| A data-driven sparse polynomial chaos expansion method to assess probabilistic total transfer capability for power systems with renewables X Wang, X Wang, H Sheng, X Lin IEEE Transactions on Power Systems 36 (3), 2573-2583, 2020 | 49 | 2020 |
| A data-driven uncertainty quantification method for stochastic economic dispatch X Wang, RP Liu, X Wang, Y Hou, F Bouffard IEEE Transactions on Power Systems 37 (1), 812-815, 2021 | 28 | 2021 |
| A Sparse Polynomial Chaos Expansion-Based Method for Probabilistic Transient Stability Assessment and Enhancement J Liu, X Wang, X Wang 2022 IEEE Power & Energy Society General Meeting (PESGM), 1-5, 2022 | 3 | 2022 |
| Efficient Probabilistic Optimal Power Flow Assessment Using an Adaptive Stochastic Spectral Embedding Surrogate Model X Wang, J Liu, X Wang arXiv preprint arXiv:2401.10498, 2024 | 2 | 2024 |
| A comparative study of polynomial chaos expansion-based methods for global sensitivity analysis in power system uncertainty control X Wang, RP Liu, X Wang, F Bouffard IEEE Transactions on Circuits and Systems II: Express Briefs, 2023 | 2 | 2023 |
| From black box to clarity: Ai-powered smart grid optimization with kolmogorov-arnold networks X Wang, Y Li, Y Li, G Kish arXiv preprint arXiv:2408.04063, 2024 | 1 | 2024 |
| Comparative Analysis of Learning-Based Methods for Transient Stability Assessment X Wu, X Wang, X Wang, PE Caines, J Liu arXiv preprint arXiv:2409.02336, 2024 | | 2024 |
| Uncertainty Quantification and Control in Power System Security and Operation Via Data-Driven Polynomial Chaos Expansion Based Methods X Wang McGill University, 2024 | | 2024 |
Xiaozhe WangMcGill University, Electrical and Computer Engineering在 mcgill.ca 的电子邮件经过验证
