| 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, 2019 | 75 | 2019 |
| Detection and classification of transmission line transient faults based on graph convolutional neural network H Tong, RC Qiu, D Zhang, H Yang, Q Ding, X Shi CSEE Journal of Power and Energy Systems 7 (3), 456-471, 2021 | 74 | 2021 |
| 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 |
| Distributed event-triggered fixed-time fault-tolerant secondary control of islanded AC microgrid Z Wang, J Wang, M Ma, H Yang*, D Chen, L Wang, P Li IEEE Transactions on Power Systems 37 (5), 4078-4093, 2022 | 35 | 2022 |
| Unsupervised feature learning for online voltage stability evaluation and monitoring based on variational autoencoder H Yang, RC Qiu, X Shi, X He Electric Power Systems Research 182, 106253, 2020 | 33 | 2020 |
| Improving power system state estimation based on matrix-level cleaning H Yang, RC Qiu, L Chu, T Mi, X Shi, CM Liu IEEE Transactions on Power Systems 35 (5), 3529-3540, 2020 | 33 | 2020 |
| A Distributed Event-Triggered Fixed-Time Fault-Tolerant Secondary Control Framework of Islanded AC Microgrid Against Faults and Communication Constraints Z Wang, W Jie, M Ma, H Yang*, D Chen, L Xiong, P Li IEEE Transactions on Power Systems, 2022 | 29 | 2022 |
| Monitoring data factorization of high renewable energy penetrated grids for probabilistic static voltage stability assessment H Yang, X Shi, RC Qiu, X He, Q Ai, Z Wang IEEE Transactions on Smart Grid 13 (2), 1273-1286, 2021 | 25 | 2021 |
| A deep learning approach for fault type identification of transmission line S Xu, C Qiu, D Zhang, X He, L Chu, H Yang Proceedings of the CSEE 39 (1), 65-74, 2019 | 24 | 2019 |
| Real-time static voltage stability assessment in large-scale power systems based on spectrum estimation of phasor measurement unit data F Yang, Z Ling, M Wei, T Mi, H Yang, RC Qiu International Journal of Electrical Power & Energy Systems 124, 106196, 2021 | 22 | 2021 |
| Reconstruction residuals based long-term voltage stability assessment using autoencoders H Yang, RC Qiu, H Tong Journal of Modern Power Systems and Clean Energy 8 (6), 1092-1103, 2020 | 20 | 2020 |
| Early anomaly detection and localisation in distribution network: A data‐driven approach X Shi, R Qiu, X He, Z Ling, H Yang, L Chu IET Generation, Transmission & Distribution 14 (18), 3814-3825, 2020 | 19 | 2020 |
| Remaining useful life prediction based on normalizing flow embedded sequence-to-sequence learning H Yang, K Ding, RC Qiu, T Mi IEEE Transactions on Reliability 70 (4), 1342-1354, 2020 | 19 | 2020 |
| SF6 gas infrared thermal imaging leakage detection based on faster-RCNN K Xu, Z Yuan, J Zhang, Y Ji, X He, H Yang 2019 International Conference on Smart Grid and Electrical Automation …, 2019 | 12 | 2019 |
| Data domain adaptation for voltage stability evaluation considering topology changes H Yang, Z Wang, RC Qiu IEEE Transactions on Power Systems 38 (3), 2834-2844, 2022 | 11 | 2022 |
| Brown measure based spectral distribution analysis for spatial-temporal localization of cascading events in power grids F Yang, M Wei, Z Ling, T Mi, H Yang, RC Qiu IEEE Transactions on Smart Grid 12 (2), 1805-1820, 2020 | 9 | 2020 |
| Anomaly detection and location in distribution networks: A data-driven approach X Shi, R Qiu, X He, L Chu, Z Ling, H Yang arXiv preprint 1801, 2018 | 8 | 2018 |
| Detection and analysis of multiple events based on high-dimensional factor models in power grid F Yang, RC Qiu, Z Ling, X He, H Yang Energies 12 (7), 1360, 2019 | 6 | 2019 |
| Cross-variance analysis to online estimate power flow Jacobian matrix using limited PMU data H Yang, X He, Z Wang, F Yang, RC Qiu International Journal of Electrical Power & Energy Systems 144, 108488, 2023 | 3 | 2023 |
| Early anomaly detection and location in distribution network: A data-driven approach X Shi, R Qiu, X He, Z Ling, H Yang, L Chu arXiv preprint arXiv:1801.01669, 2018 | 2 | 2018 |
Robert C. QiuProfessor of Electrical Engineering, Tennessee Technological UniversityПідтверджена електронна адреса в ieee.org