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Ahmed S. Zamzam
Ahmed S. Zamzam
Ascend Analytics
Verified email at ascendanalytics.com
Title
Cited by
Cited by
Year
Learning optimal solutions for extremely fast AC optimal power flow
AS Zamzam, K Baker
2020 IEEE international conference on communications, control, and computing …, 2020
2012020
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
1872019
Physics-aware neural networks for distribution system state estimation
AS Zamzam, ND Sidiropoulos
IEEE Transactions on Power Systems 35 (6), 4347-4356, 2020
1792020
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
1282018
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
792016
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
612021
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
572019
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
542023
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
512020
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
472021
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
432018
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
412018
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
29*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
282018
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
272022
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
172020
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
162021
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
152023
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
152022
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