Ahmed S. Zamzam
Ahmed S. Zamzam
Ascend Analytics
Verified email at
Cited by
Cited by
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
Learning optimal solutions for extremely fast AC optimal power flow
AS Zamzam, K Baker
2020 IEEE International Conference on Communications, Control, and Computing …, 2020
Physics-aware neural networks for distribution system state estimation
AS Zamzam, ND Sidiropoulos
IEEE Transactions on Power Systems 35 (6), 4347-4356, 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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
Energy storage management via deep Q-networks
AS Zamzam, B Yang, ND Sidiropoulos
2019 IEEE Power & Energy Society General Meeting (PESGM), 1-5, 2019
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
The system can't perform the operation now. Try again later.
Articles 1–20