| 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 | 112 | 2019 |
| Learning optimal solutions for extremely fast AC optimal power flow AS Zamzam, K Baker 2020 IEEE International Conference on Communications, Control, and Computing …, 2020 | 102 | 2020 |
| Physics-aware neural networks for distribution system state estimation AS Zamzam, ND Sidiropoulos IEEE Transactions on Power Systems 35 (6), 4347-4356, 2020 | 90 | 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 | 75 | 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 | 67 | 2016 |
| 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 | 37 | 2019 |
| 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 | 35 | 2018 |
| 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 | 28 | 2021 |
| 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 | 26 | 2018 |
| 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 | 24 | 2018 |
| 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 | 22 | 2020 |
| 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 | 19* | 2021 |
| 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 | 17 | 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 | 11 | 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 | 10 | 2020 |
| Energy storage management via deep Q-networks AS Zamzam, B Yang, ND Sidiropoulos 2019 IEEE Power & Energy Society General Meeting (PESGM), 1-5, 2019 | 10 | 2019 |
| Power system state estimation via feasible point pursuit G Wang, AS Zamzam, GB Giannakis, ND Sidiropoulos 2016 IEEE Global Conference on Signal and Information Processing (GlobalSIP …, 2016 | 8 | 2016 |
| On the degrees of freedom of the two-cell two-hop MIMO network with dedicated and shared relays A Zamzam, A El-Keyi, M Nafie, Y Mohasseb IEEE Transactions on Wireless Communications 14 (12), 6738 - 6751, 2015 | 8* | 2015 |
| A QCQP approach for OPF in multiphase radial networks with wye and delta connections AS Zamzam, C Zhao, E Dall’Anese, ND Sidiropoulos 10th IREP Symp. Bulk Power Syst. Dynamics Control, 2017 | 7 | 2017 |
| Coupled graph tensor factorization AS Zamzam, VN Ioannidis, ND Sidiropoulos 2016 50th Asilomar Conference on Signals, Systems and Computers, 1755-1759, 2016 | 7 | 2016 |
Nikolaos SidiropoulosLouis T. Rader Professor, Electrical & Computer Engineering, University of VirginiaVerified email at virginia.edu
