| A big data architecture design for smart grids based on random matrix theory X He, Q Ai, RC Qiu, W Huang, L Piao, H Liu IEEE transactions on smart Grid 8 (2), 674-686, 2017 | 399 | 2017 |
| An accurate and real-time method of self-blast glass insulator location based on faster R-CNN and U-net with aerial images Z Ling, D Zhang, RC Qiu, Z Jin, Y Zhang, X He, H Liu CSEE Journal of Power and Energy Systems 5 (4), 474-482, 2019 | 167* | 2019 |
| A correlation analysis method for power systems based on random matrix theory X Xu, X He, Q Ai, RC Qiu IEEE Transactions on Smart Grid 8 (4), 1811-1820, 2017 | 126 | 2017 |
| 数字孪生在电力系统应用中的机遇和挑战 贺兴， 艾芊， 朱天怡， 邱才明， 张东霞 电网技术 44 (6), 2009-2019, 2020 | 125* | 2020 |
| 基于机会约束规划的虚拟电厂调度风险分析 范松丽， 艾芊， 贺兴 中国电机工程学报 35 (16), 4025-4034, 2015 | 81* | 2015 |
| The impact of large-scale distributed generation on power grid and microgrids Q Ai, X Wang, X He Renewable Energy 62, 417-423, 2014 | 76 | 2014 |
| Spatio-temporal correlation analysis of online monitoring data for anomaly detection and location in distribution networks X Shi, R Qiu, Z Ling, F Yang, H Yang, X He IEEE Transactions on Smart Grid 11 (2), 995-1006, 2020 | 75 | 2020 |
| Invisible units detection and estimation based on random matrix theory X He, L Chu, RC Qiu, Q Ai, Z Ling, J Zhang IEEE Transactions on Power Systems 35 (3), 1846-1855, 2020 | 73* | 2020 |
| Designing for situation awareness of future power grids: An indicator system based on linear eigenvalue statistics of large random matrices X He, RC Qiu, Q Ai, L Chu, X Xu, Z Ling IEEE Access 4, 3557-3568, 2016 | 70 | 2016 |
| A novel data-driven situation awareness approach for future grids—Using large random matrices for big data modeling X He, L Chu, RC Qiu, Q Ai, Z Ling IEEE Access 6, 13855-13865, 2018 | 69 | 2018 |
| 基于数字孪生驱动的智慧微电网多智能体协调优化控制策略 高扬， 贺兴， 艾芊 电网技术 45 (7), 2483-2491, 2021 | 62* | 2021 |
| A coordinated control method for hybrid energy storage system in microgrid based on deep reinforcement learning Z Zhang, C Qiu, D Zhang, S Xu, X He Power System Technology 43 (6), 1914-1921, 2019 | 60 | 2019 |
| 基于深度学习的输电线路故障类型辨识 徐舒玮， 邱才明， 张东霞， 贺兴， 储磊， 杨浩森 中国电机工程学报 39 (1), 65-74,321, 2019 | 49* | 2019 |
| Situation awareness of energy internet of thing in smart city based on digital twin: From digitization to informatization X He, Q Ai, J Wang, F Tao, B Pan, R Qiu, B Yang IEEE Internet of Things Journal 10 (9), 7439-7458, 2023 | 48 | 2023 |
| Massive streaming PMU data modelling and analytics in smart grid state evaluation based on multiple high-dimensional covariance test L Chu, R Qiu, X He, Z Ling, Y Liu IEEE Transactions on Big Data 4 (1), 55-64, 2017 | 48 | 2017 |
| 基于数据驱动的用电行为分析方法及应用综述 朱天怡， 艾芊， 贺兴， 李昭昱， 孙东磊， 李雪亮 电网技术 44 (9), 3497-3507, 2020 | 46* | 2020 |
| Research on dynamic load modelling based on power quality monitoring system RF Yuan, Q Ai, X He IET Generation, Transmission & Distribution 7 (1), 46-51, 2013 | 45 | 2013 |
| Preliminary exploration on digital twin for power systems: Challenges, framework, and applications X He, Q Ai, RC Qiu, D Zhang arXiv preprint arXiv:1909.06977, 2019 | 42 | 2019 |
| A deep learning approach for fault type identification of transmission line X Shuwei, Q Caiming, Z Dongxia, HE Xing, CHU Lei, Y Haosen Proceedings of the CSEE 39 (1), 65-74,321, 2019 | 37 | 2019 |
| Blind false data injection attacks against state estimation based on matrix reconstruction H Yang, X He, Z Wang, RC Qiu, Q Ai IEEE Transactions on Smart Grid 13 (4), 3174-3187, 2022 | 35 | 2022 |
Robert C. QiuProfessor of Electrical Engineering, Tennessee Technological UniversityEmail yang diverifikasi di ieee.org