| A data-driven global sensitivity analysis framework for three-phase distribution system with PVs K Ye, J Zhao, C Huang, N Duan, Y Zhang, TE Field IEEE Transactions on Power Systems 36 (5), 4809-4819, 2021 | 38 | 2021 |
| A generalized computationally efficient copula-polynomial chaos framework for probabilistic power flow considering nonlinear correlations of PV injections K Ye, J Zhao, Y Zhang, X Liu, H Zhang International Journal of Electrical Power & Energy Systems 136, 107727, 2022 | 34 | 2022 |
| Stochastic power system dynamic simulation and stability assessment considering dynamics from correlated loads and PVs K Ye, J Zhao, N Duan, DA Maldonado IEEE Transactions on Industry Applications 58 (6), 7764-7775, 2022 | 20 | 2022 |
| Physics-informed sparse Gaussian process for probabilistic stability analysis of large-scale power system with dynamic PVs and loads K Ye, J Zhao, N Duan, Y Zhang IEEE Transactions on Power Systems 38 (3), 2868-2879, 2022 | 19 | 2022 |
| Global sensitivity analysis of large distribution system with PVs using deep Gaussian process K Ye, J Zhao, F Ding, R Yang, X Chen, GW Dobbins IEEE Transactions on Power Systems 36 (5), 4888-4891, 2021 | 15 | 2021 |
| Foldingzero: Protein folding from scratch in hydrophobic-polar model Y Li, H Kang, K Ye, S Yin, X Li arXiv preprint arXiv:1812.00967, 2018 | 14 | 2018 |
| Robust data-driven sparse estimation of distribution factors considering PMU data quality and renewable energy uncertainty-Part I: theory Y Liang, J Zhao, DS Kumar, K Ye, D Srinivasan IEEE Transactions on Power Systems 38 (5), 4800-4812, 2022 | 8 | 2022 |
| Data-driven probabilistic voltage risk assessment of miniwecc system with uncertain PVs and wind generations using realistic data K Ye, J Zhao, H Zhang, Y Zhang IEEE Transactions on Power Systems 37 (5), 4121-4124, 2022 | 7 | 2022 |
| DERMS online: A new voltage sensitivity-enabled feedback optimization framework Y Yao, K Ye, J Zhao, F Ding, J Giraldez 2022 IEEE Power & Energy Society Innovative Smart Grid Technologies …, 2022 | 5 | 2022 |
| Data-driven distribution system coordinated PV inverter control using deep reinforcement learning Y Pei, Y Yao, J Zhao, F Ding, K Ye 2021 IEEE Sustainable Power and Energy Conference (iSPEC), 781-786, 2021 | 5 | 2021 |
| A generalized copula-polynomial chaos expansion for probabilistic power flow considering nonlinear correlations of PV injections K Ye, J Zhao, R Yang, Y Zhang, X Liu 2020 52nd North American Power Symposium (NAPS), 1-6, 2021 | 5 | 2021 |
| A High Computationally Efficient Parallel Partial Gaussian Process for Large-Scale Power System Probabilistic Transient Stability Assessment K Ye, J Zhao, H Li, M Gu IEEE Transactions on Power Systems, 2023 | 4 | 2023 |
| Multi-fidelity gaussian process for distribution system voltage probabilistic estimation with pvs J Zhang, J Zhao, K Ye, F Ding 2022 IEEE 6th Conference on Energy Internet and Energy System Integration …, 2022 | 4 | 2022 |
| Deeponet based uncertainty quantification for power system dynamics with stochastic loads K Ye, J Zhao, X Liu, C Moya, G Lin 2023 IEEE Power & Energy Society General Meeting (PESGM), 1-6, 2023 | 2 | 2023 |
| Uncertainty quantification of loads and correlated PVs on power system dynamic simulations K Ye, J Zhao, N Duan, DA Maldonado 2021 IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia), 44-49, 2021 | 2 | 2021 |
| Visibility-enhanced model-free deep reinforcement learning algorithm for voltage control in realistic distribution systems using smart inverters Y Pei, K Ye, J Zhao, Y Yao, T Su, F Ding Applied Energy 372, 123758, 2024 | 1 | 2024 |
| Multi-Fidelity Learning for Distribution System Voltage Probabilistic Analysis with High Penetration of PVs K Ye, Y Pei, J Zhao, Y Yao, J Wang, F Ding 2022 IEEE Power & Energy Society General Meeting (PESGM), 1-5, 2022 | 1 | 2022 |
| Data-driven Global Sensitivity Analysis of Three-Phase Distribution System with PVs K Ye, J Zhao, C Huang, N Duan, F Ding, R Yang 2021 IEEE Power & Energy Society General Meeting (PESGM), 1-5, 2021 | | 2021 |
Junbo ZhaoDirector DOE CyberCARED and Castleman Term Professor, University of Connecticut在 uconn.edu 的电子邮件经过验证
