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Frontiers in Energy Research
(Dec 2023)
Corrigendum: Deep learning-based meta-learner strategy for electricity theft detection
Faisal Shahzad,
Zahid Ullah,
Musaed Alhussein,
Khursheed Aurangzeb,
Sheraz Aslam,
Sheraz Aslam
Affiliations
Faisal Shahzad
University of Klagenfurt, Klagenfurt am Wörthersee, Austria
Zahid Ullah
Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Milano, MI, Italy
Musaed Alhussein
Department of Computer Engineering, College of Computer and Information Sciences, King Saud University, Riyadh, Saudi Arabia
Khursheed Aurangzeb
Department of Computer Engineering, College of Computer and Information Sciences, King Saud University, Riyadh, Saudi Arabia
Sheraz Aslam
Department of Electrical Engineering, Computer Engineering, and Informatics, Cyprus University of Technology, Limassol, Cyprus
Sheraz Aslam
Department of Computer Science, CTL Eurocollege, Limassol, Cyprus
DOI
https://doi.org/10.3389/fenrg.2023.1345214
Journal volume & issue
Vol. 11
Abstract
Read online
No abstracts available.
Keywords
power system
advanced metering infrastructure
deep learning
metaheuristics
smart grids
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