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pro vyhledávání: '"Mohd Suud Mazliham"'
Autor:
Nitasha Khan, Zeeshan Shahid, Muhammad Mansoor Alam, Aznida Abu Bakar Sajak, Mobeen Nazar, Mohd Suud Mazliham
Publikováno v:
IET Renewable Power Generation, Vol 18, Iss 6, Pp 941-958 (2024)
Abstract Electricity theft (ET), which endangers public safety, interferes with the regular operation of grid infrastructure, and increases revenue losses, is a significant issue for power companies. To find ET, numerous machine learning, deep learni
Externí odkaz:
https://doaj.org/article/ac8be067eff1475f8dd04fea4ed77c3f
Autor:
Hassan SI; Universiti Kuala Lumpur British Malaysian Institute, Kuala Lumpur, Malaysia.; Department of Electrical Engineering, Ziauddin University, Karachi, Pakistan., Alam MM; Faculty of Computing, Riphah International University, Islamabad, Pakistan.; Malaysian Institute of Information Technology, University of Kuala Lumpur, Kuala Lumpur, Malaysia.; Faculty of Engineering and Information Technology, University of Technology Sydney, Sydney, Australia.; Faculty of Computing and Informatics, Multimedia University, Cyberjaya, Selangor, Malaysia., Illahi U; Electrical Engineering Department, Faculty of Engineering and Technology, Gomal University Dera Ismail Khan, Dera Ismail Khan, Pakistan., Mohd Suud M; Faculty of Computing and Informatics, Multimedia University, Cyberjaya, Selangor, Malaysia.
Publikováno v:
PeerJ. Computer science [PeerJ Comput Sci] 2023 Mar 06; Vol. 9, pp. e1167. Date of Electronic Publication: 2023 Mar 06 (Print Publication: 2023).