| Learning optimal solutions for extremely fast AC optimal power flow AS Zamzam, K Baker 2020 IEEE international conference on communications, control, and computing …, 2020 | 211 | 2020 |
| Data-driven learning-based optimization for distribution system state estimation AS Zamzam, X Fu, ND Sidiropoulos IEEE Transactions on Power Systems 34 (6), 4796-4805, 2019 | 199 | 2019 |
| Physics-aware neural networks for distribution system state estimation AS Zamzam, ND Sidiropoulos IEEE Transactions on Power Systems 35 (6), 4347-4356, 2020 | 198 | 2020 |
| Optimal water–power flow-problem: Formulation and distributed optimal solution AS Zamzam, E Dall’Anese, C Zhao, JA Taylor, ND Sidiropoulos IEEE Transactions on Control of Network Systems 6 (1), 37-47, 2018 | 135 | 2018 |
| Beyond relaxation and Newton–Raphson: Solving AC OPF for multi-phase systems with renewables AS Zamzam, ND Sidiropoulos, E Dall’Anese IEEE Transactions on Smart Grid 9 (5), 3966-3975, 2016 | 79 | 2016 |
| Resampling and data augmentation for short-term PV output prediction based on an imbalanced sky images dataset using convolutional neural networks Y Nie, AS Zamzam, A Brandt Solar Energy 224, 341-354, 2021 | 66 | 2021 |
| Ten questions concerning reinforcement learning for building energy management Z Nagy, G Henze, S Dey, J Arroyo, L Helsen, X Zhang, B Chen, ... Building and Environment 241, 110435, 2023 | 61 | 2023 |
| Coupled graphs and tensor factorization for recommender systems and community detection VN Ioannidis, AS Zamzam, GB Giannakis, ND Sidiropoulos IEEE Transactions on Knowledge and Data Engineering 33 (3), 909-920, 2019 | 59 | 2019 |
| Learning-Accelerated ADMM for Distributed Optimal Power Flow D Biagioni, P Graf, X Zhang, AS Zamzam, K Baker, J King arXiv preprint arXiv:1911.03019v2, 2020 | 56 | 2020 |
| Network-cognizant time-coupled aggregate flexibility of distribution systems under uncertainties B Cui, A Zamzam, A Bernstein 2021 American Control Conference (ACC), 4178-4183, 2021 | 52 | 2021 |
| Power system state estimation via feasible point pursuit: Algorithms and Cramér-Rao bound G Wang, AS Zamzam, GB Giannakis, ND Sidiropoulos IEEE Transactions on Signal Processing 66 (6), 1649-1658, 2018 | 44 | 2018 |
| Learning-based antenna selection for multicasting MS Ibrahim, AS Zamzam, X Fu, ND Sidiropoulos 2018 IEEE 19th International Workshop on Signal Processing Advances in …, 2018 | 41 | 2018 |
| Multi-area distribution system state estimation using decentralized physics-aware neural networks MQ Tran, AS Zamzam, PH Nguyen, G Pemen Energies 14 (11), 3025, 2021 | 39* | 2021 |
| OPF-Learn: An Open-Source Framework for Creating Representative AC Optimal Power Flow Datasets T Joswig-Jones, K Baker, AS Zamzam arXiv preprint arXiv:2111.01228, 2021 | 32 | 2021 |
| Powergridworld: A framework for multi-agent reinforcement learning in power systems D Biagioni, X Zhang, D Wald, D Vaidhynathan, R Chintala, J King, ... Proceedings of the thirteenth ACM international conference on future energy …, 2022 | 30 | 2022 |
| Parasketch: Parallel tensor factorization via sketching B Yang, A Zamzam, ND Sidiropoulos Proceedings of the 2018 SIAM International Conference on Data Mining, 396-404, 2018 | 29 | 2018 |
| Managing wildfire risk and promoting equity through optimal configuration of networked microgrids S Taylor, G Setyawan, B Cui, A Zamzam, LA Roald Proceedings of the 14th ACM International Conference on Future Energy …, 2023 | 19 | 2023 |
| Towards quantifying the carbon emissions of differentially private machine learning R Naidu, H Diddee, A Mulay, A Vardhan, K Ramesh, A Zamzam arXiv preprint arXiv:2107.06946, 2021 | 18 | 2021 |
| Model-free state estimation using low-rank canonical polyadic decomposition AS Zamzam, Y Liu, A Bernstein IEEE Control Systems Letters 5 (2), 605-610, 2020 | 17 | 2020 |
| Managing power systems-induced wildfire risks using optimal scheduled shutoffs A Astudillo, B Cui, AS Zamzam 2022 IEEE Power & Energy Society General Meeting (PESGM), 1-5, 2022 | 15 | 2022 |
Nikolaos SidiropoulosLouis T. Rader Professor, Electrical & Computer Engineering, University of VirginiaEmail yang diverifikasi di virginia.edu