Detection and Confirmation of Electricity Thefts in Advanced Metering Infrastructure by Long Short-Term Memory and Fuzzy Inference System Models

Detection and Confirmation of Electricity Thefts in Advanced Metering Infrastructure by Long Short-Term Memory and Fuzzy Inference System Models

The successful implementation of Smart Grids heavily relies on energy efficiency, particularly through the Advanced Metering Infrastructure (AMI) and Smart Electricity Meters (SEM). However, cyber-attacks pose a threat to SEM, with electricity theft being a primary motivation. Despite the valuable...

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Bibliographic Details
Main Authors: A. O. Otuoze, M. W. Mustafa, U. Sultana, E. A. Abiodun, B. Jimada-Ojuolape, O. Ibrahim, I. O. Avazi-Omeiza, A. I. Abdullateef
Format: Article
Language:English
Published: Faculty of Engineering and Technology 2024-03-01
Series:Nigerian Journal of Technological Development
Subjects:
Advanced Metering Infrastructure
Anomaly Detection
Confirmation Model
Electricity Theft Detection
Fuzzy Inference System
Long Short-Term Memory
Online Access:https://journal.njtd.com.ng/index.php/njtd/article/view/2294

Internet

https://journal.njtd.com.ng/index.php/njtd/article/view/2294

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