| Power grid vulnerability to geographically correlated failures—Analysis and control implications A Bernstein, D Bienstock, D Hay, M Uzunoglu, G Zussman IEEE INFOCOM 2014-IEEE conference on computer communications, 2634-2642, 2014 | 219 | 2014 |
| Load-Flow in Multiphase Distribution Networks: Existence, Uniqueness, Non-Singularity and Linear Models A Bernstein, C Wang, E Dall'Anese, JYL Boudec, C Zhao IEEE Transactions on Power Systems, 2018, 2017 | 157* | 2017 |
| A composable method for real-time control of active distribution networks with explicit power setpoints. Part I: Framework A Bernstein, L Reyes-Chamorro, JY Le Boudec, M Paolone Electric Power Systems Research 125, 254-264, 2015 | 142 | 2015 |
| Network-cognizant voltage droop control for distribution grids K Baker, A Bernstein, E Dall’Anese, C Zhao IEEE Transactions on Power Systems 33 (2), 2098-2108, 2017 | 129 | 2017 |
| Explicit conditions on existence and uniqueness of load-flow solutions in distribution networks C Wang, A Bernstein, JY Le Boudec, M Paolone IEEE Transactions on Smart Grid 9 (2), 953-962, 2016 | 118 | 2016 |
| Linear power-flow models in multiphase distribution networks A Bernstein, E Dall'Anese 2017 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT …, 2017 | 116 | 2017 |
| Online optimization as a feedback controller: Stability and tracking M Colombino, E Dall’Anese, A Bernstein IEEE Transactions on Control of Network Systems 7 (1), 422-432, 2019 | 107 | 2019 |
| Real-time feedback-based optimization of distribution grids: A unified approach A Bernstein, E Dall’Anese IEEE Transactions on Control of Network Systems 6 (3), 1197-1209, 2019 | 105 | 2019 |
| Online primal-dual methods with measurement feedback for time-varying convex optimization A Bernstein, E Dall'Anese, A Simonetto IEEE Transactions on Signal Processing 67 (8), 1978-1991, 2019 | 85* | 2019 |
| Matrix completion for low-observability voltage estimation PL Donti, Y Liu, AJ Schmitt, A Bernstein, R Yang, Y Zhang IEEE Transactions on Smart Grid 11 (3), 2520-2530, 2019 | 62 | 2019 |
| Joint chance constraints in AC optimal power flow: Improving bounds through learning K Baker, A Bernstein IEEE Transactions on Smart Grid 10 (6), 6376-6385, 2019 | 58 | 2019 |
| Sensitivity analysis of the power grid vulnerability to large-scale cascading failures A Bernstein, D Bienstock, D Hay, M Uzunoglu, G Zussman ACM SIGMETRICS Performance Evaluation Review 40 (3), 33-37, 2012 | 50 | 2012 |
| A composable method for real-time control of active distribution networks with explicit power setpoints. Part II: Implementation and validation L Reyes-Chamorro, A Bernstein, JY Le Boudec, M Paolone Electric Power Systems Research 125, 265-280, 2015 | 45 | 2015 |
| Existence and uniqueness of load-flow solutions in three-phase distribution networks C Wang, A Bernstein, JY Le Boudec, M Paolone IEEE Transactions on Power Systems 32 (ARTICLE), 3319-3320, 2017 | 42 | 2017 |
| Towards robustness guarantees for feedback-based optimization M Colombino, JW Simpson-Porco, A Bernstein 2019 IEEE 58th Conference on Decision and Control (CDC), 6207-6214, 2019 | 41 | 2019 |
| Adaptive-resolution reinforcement learning with polynomial exploration in deterministic domains A Bernstein, N Shimkin Machine learning 81 (3), 359, 2010 | 39 | 2010 |
| Autonomous energy grids: Controlling the future grid with large amounts of distributed energy resources B Kroposki, A Bernstein, J King, D Vaidhynathan, X Zhou, CY Chang, ... IEEE Power and Energy Magazine 18 (6), 37-46, 2020 | 35 | 2020 |
| Autonomous energy grids BD Kroposki, E Dall-Anese, A Bernstein, Y Zhang, BS Hodge National Renewable Energy Lab.(NREL), Golden, CO (United States), 2017 | 32 | 2017 |
| Real-time identifiability of power distribution network topologies with limited monitoring G Cavraro, A Bernstein, V Kekatos, Y Zhang IEEE Control Systems Letters 4 (2), 325-330, 2019 | 29 | 2019 |
| Online data-enabled predictive control S Baros, CY Chang, GE Colon-Reyes, A Bernstein Automatica 138, 109926, 2022 | 27 | 2022 |
Emiliano Dall'AneseUniversity of Colorado BoulderПотвърден имейл адрес: colorado.edu
