Review of the data-driven methods for electricity fraud detection in smart metering systems

MM Badr, MI Ibrahem, HA Kholidy, MM Fouda, M Ismail - Energies, 2023 - mdpi.com
In smart grids, homes are equipped with smart meters (SMs) to monitor electricity
consumption and report fine-grained readings to electric utility companies for billing and …

Utilizing unlabeled data to detect electricity fraud in AMI: A semisupervised deep learning approach

T Hu, Q Guo, X Shen, H Sun, R Wu… - IEEE transactions on …, 2019 - ieeexplore.ieee.org
As nontechnical losses in power systems have recently become a global concern, electricity
fraud detection models attracted increasing academic interest. The wide application of smart …

[HTML][HTML] A two stage approach to electricity theft detection in AMI using deep learning

M Emadaleslami, MR Haghifam… - International Journal of …, 2023 - Elsevier
Electricity fraud as a noteworthy portion of non-technical losses has continuously been a
worldwide concern. On the other hand, once a fraud is detected, on-site inspection is …

Real-time detection of false readings in smart grid AMI using deep and ensemble learning

MJ Abdulaal, MI Ibrahem, MMEA Mahmoud… - IEEE …, 2022 - ieeexplore.ieee.org
In the advanced metering infrastructure, smart meters are deployed at the consumers' side to
regularly transmit fine-grained electricity consumption readings to the system operator (SO) …

Electricity theft detection using deep reinforcement learning in smart power grids

AT El-Toukhy, MM Badr, MMEA Mahmoud… - IEEE …, 2023 - ieeexplore.ieee.org
In smart power grids, smart meters (SMs) are deployed at the end side of customers to report
fine-grained power consumption readings periodically to the utility for energy management …

A novel evasion attack against global electricity theft detectors and a countermeasure

MM Badr, MMEA Mahmoud, M Abdulaal… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
The smart grid advanced metering infrastructure (AMI) is vulnerable to electricity theft cyber-
attacks in which malicious smart meters report low readings to reduce the consumers' bills …

A hybrid deep learning-based model for detection of electricity losses using big data in power systems

A Khattak, R Bukhsh, S Aslam, A Yafoz, O Alghushairy… - Sustainability, 2022 - mdpi.com
Electricity theft harms smart grids and results in huge revenue losses for electric companies.
Deep learning (DL), machine learning (ML), and statistical methods have been used in …

Detecting electricity fraud in the net-metering system using deep learning

MM Badr, MI Ibrahem, M Baza… - 2021 International …, 2021 - ieeexplore.ieee.org
There are different metering systems adopted in the advanced metering infrastructure (AMI)
of the smart grid. Among these systems, the net-metering is a promising system that …

[HTML][HTML] Electricity-theft detection for smart grid security using smart meter data: A deep-CNN based approach

EU Haq, C Pei, R Zhang, H Jianjun, F Ahmad - Energy Reports, 2023 - Elsevier
Electricity theft has a considerable negative effect on energy suppliers and power
infrastructure, leading to non-technical losses and business losses. Power quality …

Deep learning-based detection of electricity theft cyber-attacks in smart grid AMI networks

M Nabil, M Ismail, M Mahmoud, M Shahin… - … learning applications for …, 2019 - Springer
Advanced metering infrastructure (AMI) is the primary step to establish a modern smart grid.
AMI enables a flexible two-way communication between smart meters and utility company …