| A cross-domain approach to analyzing the short-run impact of COVID-19 on the US electricity sector G Ruan, D Wu, X Zheng, H Zhong, C Kang, MA Dahleh, S Sivaranjani, ... Joule 4 (11), 2322-2337, 2020 | 170 | 2020 |
| An open-source extendable model and corrective measure assessment of the 2021 texas power outage D Wu, X Zheng, Y Xu, D Olsen, B Xia, C Singh, L Xie Advances in Applied Energy 4, 100056, 2021 | 68 | 2021 |
| A multi-scale time-series dataset with benchmark for machine learning in decarbonized energy grids X Zheng, N Xu, L Trinh, D Wu, T Huang, S Sivaranjani, Y Liu, L Xie Scientific Data 9 (1), 359, 2022 | 36* | 2022 |
| Nested reinforcement learning based control for protective relays in power distribution systems D Wu, X Zheng, D Kalathil, L Xie 2019 IEEE 58th conference on decision and control (CDC), 1925-1930, 2019 | 28 | 2019 |
| Deep reinforcement learning-based robust protection in DER-rich distribution grids D Wu, D Kalathil, MM Begovic, KQ Ding, L Xie IEEE Open Access Journal of Power and Energy 9, 537-548, 2022 | 16 | 2022 |
| An open-source model for simulation and corrective measure assessment of the 2021 texas power outage D Wu, X Zheng, Y Xu, D Olsen, B Xia, C Singh, L Xie arXiv preprint arXiv:2104.04146, 2021 | 13 | 2021 |
| How much demand flexibility could have spared texas from the 2021 outage? D Wu, X Zheng, A Menati, L Smith, B Xia, Y Xu, C Singh, L Xie Advances in Applied Energy 7, 100106, 2022 | 12 | 2022 |
| A cross-domain approach to analyzing the short-run impact of COVID-19 on the US electricity sector, Joule 4 (11)(2020) 2322–2337 G Ruan, D Wu, X Zheng, H Zhong, C Kang, MA Dahleh, S Sivaranjani, ... | 8 | 2020 |
| PSML: A Multi-scale Time-series Dataset for Machine Learning in Decarbonized Energy Grids (Dataset) X Zheng, N Xu, D Wu, L Trinh, T Huang, S Sivaranjani, Y Liu, L Xie Zenodo https://doi. org/10.5281/zenodo 5130612, 2021 | 5 | 2021 |
| A cross-domain approach to analyzing the short-run impact of COVID-19 on the US electricity sector. Joule 2020; 4: 2322–37 G Ruan, D Wu, X Zheng, H Zhong, C Kang, MA Dahleh | 5 | |
| Fast electromagnetic transient simulation based on hierarchical low-rank approximation L Zhang, B Wang, D Wu, L Xie, PR Kumar, W Shi 2019 IEEE Power & Energy Society Innovative Smart Grid Technologies …, 2019 | 4 | 2019 |
| Analyzing extreme events in power systems: An open, cross-domain data-driven approach X Zheng, D Wu, L Watts, EN Pistikopoulos, L Xie IEEE Power and Energy Magazine 20 (6), 47-55, 2022 | 3 | 2022 |
| OpenGridGym: An Open-Source AI-Friendly Toolkit for Distribution Market Simulation R El Helou, K Lee, D Wu, L Xie, S Shakkottai, V Subramanian IEEE Transactions on Smart Grid 14 (2), 1555-1565, 2022 | 3 | 2022 |
| A cross‐domain approach to analyzing the short‐run impact of COVID‐19 on the US electricity sector joule G Ruan, D Wu, X Zheng, H Zhong, C Kang, MA Dahleh, S Sivaranjani, ... | 3 | 2020 |
| PyProD: A machine learning-friendly platform for protection analytics in distribution systems D Wu, D Kalathil, M Begovic, L Xie arXiv preprint arXiv:2109.05802, 2021 | 2 | 2021 |
| Towards an AI-friendly cross-timescale simulation and analysis platform for electric distribution systems D Wu, R El Helou, L Xie iEnergy 1 (1), 133-140, 2022 | 1 | 2022 |
| Apparatus and systems for power system protective relay control using reinforcement learning WU Dongqi, X Zheng, L Xie, D Kalathil, M Begovic US Patent App. 17/242,947, 2021 | 1 | 2021 |
| Data-Driven Hazard and Disaster Mitigation in Power System Abnormal Conditions D Wu | | 2022 |
| Advances in Applied Energy D Wu, X Zheng, A Menati, L Smith, B Xia, Y Xu | | |
