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Ahmed S. Zamzam
Ahmed S. Zamzam
Ascend Analytics
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Titel
Zitiert von
Zitiert von
Jahr
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
1702019
Learning optimal solutions for extremely fast AC optimal power flow
AS Zamzam, K Baker
2020 IEEE International Conference on Communications, Control, and Computing …, 2020
1542020
Physics-aware neural networks for distribution system state estimation
AS Zamzam, ND Sidiropoulos
IEEE Transactions on Power Systems 35 (6), 4347-4356, 2020
1422020
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
1072018
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
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
542019
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
532021
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
432020
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
382021
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
382018
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
262018
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
252023
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
24*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
162022
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
112021
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
112020
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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