| Deep learning based surface irradiance mapping model for solar PV power forecasting using sky image Z Zhen, J Liu, Z Zhang, F Wang, H Chai, Y Yu, X Lu, T Wang, Y Lin IEEE Transactions on Industry Applications 56 (4), 3385-3396, 2020 | 182 | 2020 |
| A highly efficient bad data identification approach for very large scale power systems Y Lin, A Abur IEEE Transactions on Power Systems 33 (6), 5979-5989, 2018 | 78 | 2018 |
| Power system parameter attack for financial profits in electricity markets H Xu, Y Lin, X Zhang, F Wang IEEE Transactions on Smart Grid 11 (4), 3438-3446, 2020 | 70 | 2020 |
| Robust state estimation against measurement and network parameter errors Y Lin, A Abur IEEE Transactions on power systems 33 (5), 4751-4759, 2018 | 69 | 2018 |
| Dynamic state estimation for integrated electricity-gas systems based on Kalman filter Y Chen, Y Yao, Y Lin, X Yang CSEE Journal of Power and Energy Systems 8 (1), 293-303, 2020 | 48 | 2020 |
| State estimation for situational awareness of active distribution system with photovoltaic power plants Z Fang, Y Lin, S Song, C Li, X Lin, Y Chen IEEE Transactions on Smart Grid 12 (1), 239-250, 2020 | 40 | 2020 |
| A new framework for detection and identification of network parameter errors Y Lin, A Abur IEEE Transactions on Smart Grid 9 (3), 1698-1706, 2016 | 40 | 2016 |
| Enhancing network parameter error detection and correction via multiple measurement scans Y Lin, A Abur IEEE Transactions on Power Systems 32 (3), 2417-2425, 2016 | 39 | 2016 |
| Impedance modeling and stability analysis of PV grid-connected inverter systems considering frequency coupling S Song, Z Wei, Y Lin, B Liu, H Liu CSEE Journal of Power and Energy Systems 6 (2), 279-290, 2020 | 34 | 2020 |
| Enhanced state estimation and bad data identification in active power distribution networks using photovoltaic power forecasting G Cheng, S Song, Y Lin, Q Huang, X Lin, F Wang Electric Power Systems Research 177, 105974, 2019 | 32 | 2019 |
| Highly efficient implementation for parameter error identification method exploiting sparsity Y Lin, A Abur IEEE Transactions on Power Systems 32 (1), 734-742, 2016 | 31 | 2016 |
| Deep learning based irradiance mapping model for solar PV power forecasting using sky image F Wang, Z Zhang, H Chai, Y Yu, X Lu, T Wang, Y Lin 2019 IEEE industry applications society annual meeting, 1-9, 2019 | 29 | 2019 |
| A highly discriminative detector against false data injection attacks in AC state estimation G Cheng, Y Lin, J Zhao, J Yan IEEE Transactions on Smart Grid 13 (3), 2318-2330, 2022 | 28 | 2022 |
| Optimal PMU restoration for power system observability recovery after massive attacks SN Edib, Y Lin, VM Vokkarane, F Qiu, R Yao, D Zhao IEEE Transactions on Smart Grid 12 (2), 1565-1576, 2020 | 28 | 2020 |
| Adaptive state estimation for power systems measured by PMUs with unknown and time-varying error statistics G Cheng, Y Lin, Y Chen, T Bi IEEE Transactions on Power Systems 36 (5), 4482-4491, 2021 | 27 | 2021 |
| Strategic use of synchronized phasor measurements to improve network parameter error detection Y Lin, A Abur IEEE Transactions on Smart Grid 9 (5), 5281-5290, 2017 | 26 | 2017 |
| An improved algorithm for incremental extreme learning machine S Song, M Wang, Y Lin Systems science & control engineering 8 (1), 308-317, 2020 | 24 | 2020 |
| Data-driven robust state estimation through off-line learning and on-line matching Y Chen, H Chen, Y Jiao, J Ma, Y Lin Journal of Modern Power Systems and Clean Energy 9 (4), 897-909, 2021 | 19 | 2021 |
| Fast correction of network parameter errors Y Lin, A Abur IEEE Transactions on Power Systems 33 (1), 1095-1096, 2017 | 19 | 2017 |
| Forecasting-aided state estimation based on deep learning for hybrid AC/DC distribution systems M Huang, Z Wei, Y Lin Applied Energy 306, 118119, 2022 | 15 | 2022 |
