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Ahmed S. Zamzam
Ahmed S. Zamzam
Ascend Analytics
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Title
Cited by
Cited by
Year
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
1722019
Learning optimal solutions for extremely fast AC optimal power flow
AS Zamzam, K Baker
2020 IEEE International Conference on Communications, Control, and Computing …, 2020
1582020
Physics-aware neural networks for distribution system state estimation
AS Zamzam, ND Sidiropoulos
IEEE Transactions on Power Systems 35 (6), 4347-4356, 2020
1472020
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
1112018
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
772016
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
552021
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
552019
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
442020
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
422018
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
412021
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
402018
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
312023
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
30*2021
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
272018
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
25*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
212022
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
122021
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
122020
Energy storage management via deep Q-networks
AS Zamzam, B Yang, ND Sidiropoulos
2019 IEEE Power & Energy Society General Meeting (PESGM), 1-5, 2019
112019
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
102022
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