| Power system dynamic state estimation: Motivations, definitions, methodologies, and future work J Zhao, A Gómez-Expósito, M Netto, L Mili, A Abur, V Terzija, I Kamwa, ... IEEE Transactions on Power Systems 34 (4), 3188-3198, 2019 | 626 | 2019 |
| A robust iterated extended Kalman filter for power system dynamic state estimation J Zhao, M Netto, L Mili IEEE transactions on power systems 32 (4), 3205-3216, 2016 | 445 | 2016 |
| Roles of dynamic state estimation in power system modeling, monitoring and operation J Zhao, M Netto, Z Huang, SS Yu, A Gómez-Expósito, S Wang, I Kamwa, ... IEEE Transactions on Power Systems 36 (3), 2462-2472, 2020 | 170 | 2020 |
| Power system inertia estimation: Review of methods and the impacts of converter-interfaced generations B Tan, J Zhao, M Netto, V Krishnan, V Terzija, Y Zhang International Journal of Electrical Power & Energy Systems 134, 107362, 2022 | 131 | 2022 |
| A robust data-driven Koopman Kalman filter for power systems dynamic state estimation M Netto, L Mili IEEE Transactions on Power Systems 33 (6), 7228-7237, 2018 | 124 | 2018 |
| Data-driven participation factors for nonlinear systems based on Koopman mode decomposition M Netto, Y Susuki, L Mili IEEE Control Systems Letters 3 (1), 198-203, 2018 | 52 | 2018 |
| A robust extended Kalman filter for power system dynamic state estimation using PMU measurements M Netto, J Zhao, L Mili 2016 IEEE Power and Energy Society General Meeting (PESGM), 1-5, 2016 | 45 | 2016 |
| On Analytical Construction of Observable Functions in Extended Dynamic Mode Decomposition for Nonlinear Estimation and Prediction M Netto, Y Susuki, V Krishnan, Y Zhang IEEE Control Systems Letters 5 (6), 1868-1873, 2021 | 39 | 2021 |
| Robust data filtering for estimating electromechanical modes of oscillation via the multichannel prony method M Netto, L Mili IEEE Transactions on Power Systems 33 (4), 4134-4143, 2017 | 39 | 2017 |
| A robust prony method for power system electromechanical modes identification M Netto, L Mili 2017 IEEE Power & Energy Society General Meeting, 1-5, 2017 | 34 | 2017 |
| Robust Koopman operator-based Kalman filter for power systems dynamic state estimation M Netto, L Mili 2018 IEEE Power & Energy Society General Meeting (PESGM), 1-5, 2018 | 23 | 2018 |
| State-of-the-art of data collection, analytics, and future needs of transmission utilities worldwide to account for the continuous growth of sensing data FRS Sevilla, Y Liu, E Barocio, P Korba, M Andrade, F Bellizio, J Bos, ... International Journal of Electrical Power & Energy Systems 137, 107772, 2022 | 22 | 2022 |
| Robust Dynamic Mode Decomposition AH Abolmasoumi, M Netto, L Mili IEEE Access 10, 65473-65484, 2022 | 14 | 2022 |
| Robust identification, estimation, and control of electric power systems using the Koopman operator-theoretic framework M Netto Virginia Tech, 2019 | 12 | 2019 |
| A hybrid framework combining model-based and data-driven methods for hierarchical decentralized robust dynamic state estimation M Netto, V Krishnan, L Mili, Y Susuki, Y Zhang 2019 IEEE Power & Energy Society General Meeting (PESGM), 1-5, 2019 | 11 | 2019 |
| Propagating Parameter Uncertainty in Power System Nonlinear Dynamic Simulations Using a Koopman Operator-Based Surrogate Model Y Xu, M Netto, L Mili IEEE Transactions on Power Systems 37 (4), 3157-3160, 2022 | 9 | 2022 |
| Automated construction of clear-sky dictionary from all-sky imager data P Shaffery, A Habte, M Netto, A Andreas, V Krishnan Solar Energy 212, 73-83, 2020 | 8 | 2020 |
| Measurement placement in electric power transmission and distribution grids: Review of concepts, methods, and research needs M Netto, V Krishnan, Y Zhang, L Mili IET Generation, Transmission & Distribution 16 (5), 805-838, 2022 | 7 | 2022 |
| A general decentralized dynamic state estimation with synchronous generator magnetic saturation B Tan, J Zhao, M Netto IEEE Transactions on Power Systems 38 (1), 960-963, 2022 | 4 | 2022 |
| Power system dynamic state and parameter estimation-transition to power electronics-dominated clean energy systems J Zhao IEEE PES Task Force on Power System Dynamic State and Parameter Estimation, 2021 | 4 | 2021 |
