| Hierarchical stochastic scheduling of multi-community integrated energy systems in uncertain environments via Stackelberg game Y Li, B Wang, Z Yang, J Li, C Chen Applied Energy 308, 118392, 2022 | 192 | 2022 |
| Privacy-preserving spatiotemporal scenario generation of renewable energies: A federated deep generative learning approach Y Li, J Li, Y Wang IEEE Transactions on Industrial Informatics 18 (4), 2310 - 2320, 2022 | 189 | 2022 |
| Data-driven distributionally robust scheduling of community integrated energy systems with uncertain renewable generations considering integrated demand response Y Li, M Han, M Shahidehpour, J Li, C Long Applied Energy 335, 120749, 2023 | 182 | 2023 |
| Optimal scheduling of integrated demand response-enabled community-integrated energy systems in uncertain environments Y Li, B Wang, Z Yang, J Li, G Li IEEE Transactions on Industry Applications 58 (2), 2640-2651, 2021 | 174 | 2021 |
| Deep learning for short-term voltage stability assessment of power systems M Zhang, J Li, Y Li, R Xu IEEE Access 9, 29711-29718, 2021 | 93 | 2021 |
| Data-driven flexibility evaluation methodology for community integrated energy system in uncertain environments C Wang, C Liu, P Yang, J Li, G Zhang Electric Power Systems Research 231, 110347, 2024 | 5 | 2024 |
Yang Li (李扬)Professor at NEEPU, SMIEEE, Clarivate's Highly Cited Researcher, Stanford's Top 2% Scientistยืนยันอีเมลแล้วที่ neepu.edu.cn