| PaToPa: A data-driven parameter and topology joint estimation framework in distribution grids J Yu, Y Weng, R Rajagopal IEEE Transactions on Power Systems 33 (4), 4335-4347, 2017 | 200 | 2017 |
| Distributed energy resources topology identification via graphical modeling Y Weng, Y Liao, R Rajagopal IEEE Transactions on Power Systems 32 (4), 2682-2694, 2016 | 196 | 2016 |
| Topology identification and line parameter estimation for non-PMU distribution network: A numerical method J Zhang, Y Wang, Y Weng, N Zhang IEEE Transactions on Smart Grid 11 (5), 4440-4453, 2020 | 184 | 2020 |
| An information-theoretic approach to PMU placement in electric power systems Q Li, T Cui, Y Weng, R Negi, F Franchetti, MD Ilic IEEE Transactions on Smart Grid 4 (1), 446-456, 2012 | 175 | 2012 |
| Robust data-driven state estimation for smart grid Y Weng, R Negi, C Faloutsos, MD Ilić IEEE Transactions on Smart Grid 8 (4), 1956-1967, 2016 | 162 | 2016 |
| Urban MV and LV distribution grid topology estimation via group lasso Y Liao, Y Weng, G Liu, R Rajagopal IEEE Transactions on Power Systems 34 (1), 12-27, 2018 | 135 | 2018 |
| Enhance High Impedance Fault Detection and Location Accuracy via -PMUs Q Cui, Y Weng IEEE Transactions on Smart Grid 11 (1), 797-809, 2019 | 131 | 2019 |
| Electric vehicle charging station placement method for urban areas Q Cui, Y Weng, CW Tan IEEE Transactions on Smart Grid 10 (6), 6552-6565, 2019 | 125 | 2019 |
| PaToPaEM: A data-driven parameter and topology joint estimation framework for time-varying system in distribution grids J Yu, Y Weng, R Rajagopal IEEE Transactions on Power Systems 34 (3), 1682-1692, 2018 | 104 | 2018 |
| A feature selection method for high impedance fault detection Q Cui, K El-Arroudi, Y Weng IEEE Transactions on Power Delivery 34 (3), 1203-1215, 2019 | 97 | 2019 |
| Ensuring cybersecurity of smart grid against data integrity attacks under concept drift M Mohammadpourfard, Y Weng, M Pechenizkiy, M Tajdinian, ... International Journal of Electrical Power & Energy Systems 119, 105947, 2020 | 92 | 2020 |
| A two-stage supervised learning approach for electricity price forecasting by leveraging different data sources S Luo, Y Weng Applied energy 242, 1497-1512, 2019 | 81 | 2019 |
| Identification of false data injection attacks with considering the impact of wind generation and topology reconfigurations M Mohammadpourfard, A Sami, Y Weng IEEE Transactions on Sustainable Energy 9 (3), 1349-1364, 2017 | 78 | 2017 |
| Robust mapping rule estimation for power flow analysis in distribution grids J Yu, Y Weng, R Rajagopal 2017 North American Power Symposium (NAPS), 1-6, 2017 | 77 | 2017 |
| Semidefinite programming for power system state estimation Y Weng, Q Li, R Negi, M Ilić 2012 IEEE Power and Energy Society General Meeting, 1-8, 2012 | 73 | 2012 |
| Wide-area measurement system-based low frequency oscillation damping control through reinforcement learning Y Hashmy, Z Yu, D Shi, Y Weng IEEE Transactions on Smart Grid 11 (6), 5072-5083, 2020 | 68 | 2020 |
| Big data application in power systems R Arghandeh, Y Zhou Elsevier, 2017 | 67 | 2017 |
| Probabilistic baseline estimation via gaussian process Y Weng, R Rajagopal 2015 IEEE Power & Energy Society General Meeting, 1-5, 2015 | 67 | 2015 |
| Distribution grid topology reconstruction: An information theoretic approach Y Liao, Y Weng, M Wu, R Rajagopal 2015 North American Power Symposium (NAPS), 1-6, 2015 | 58 | 2015 |
| A feature extraction and machine learning framework for bearing fault diagnosis B Cui, Y Weng, N Zhang Renewable Energy 191, 987-997, 2022 | 57 | 2022 |
Ram RajagopalAssociate Professor, Stanford UniversityVerified email at stanford.edu
