Machine learning techniques for energy theft detection in AMI

A Maamar, K Benahmed - … of the 2018 international conference on …, 2018 - dl.acm.org
Advanced Metering Infrastructure (AMI and smart meter) is considered as the basic building
block for the development of smart grid in the power distribution system. a Smart meter is …

Ensemble machine learning models for the detection of energy theft

SK Gunturi, D Sarkar - Electric Power Systems Research, 2021 - Elsevier
Advanced metering infrastructure allows the two-way sharing of information between smart
meters and utilities. However, it makes smart grids more vulnerable to cyber-security threats …

Cnn-lstm based electricity theft detector in advanced metering infrastructure

RU Madhure, R Raman… - 2020 11th International …, 2020 - ieeexplore.ieee.org
In a smart grid, estimating the power requirements of various regions and detecting
malicious practices is very crucial. Advanced Metering Infrastructure (AMI) is a key …

Energy theft detection in advanced metering infrastructure

SK Singh, R Bose, A Joshi - 2018 IEEE 4th World Forum on …, 2018 - ieeexplore.ieee.org
Energy theft is one of the key concern in Advanced Metering Infrastructure (AMI). In
developed and developing countries, the financial losses due to energy theft are billions of …

Detection of energy theft in smart grids using electricity consumption patterns

D Syed, H Abu-Rub, SS Refaat… - 2020 IEEE International …, 2020 - ieeexplore.ieee.org
One of the major factors that lead to energy losses for utility distribution systems is electricity
or energy theft. Energy theft is tampering with smart meter reading to reduce customer …

[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 …

Detection of electricity theft using data processing and LSTM method in distribution systems

B Kocaman, V Tümen - Sādhanā, 2020 - Springer
Electricity theft is a big problem faced by all energy distribution services and continues to
rising. Therefore, studies on electricity theft detection techniques have increased in recent …

Efficient detection of electricity theft cyber attacks in AMI networks

M Ismail, M Shahin, MF Shaaban… - 2018 IEEE wireless …, 2018 - ieeexplore.ieee.org
Advanced metering infrastructure (AMI) networks are vulnerable against electricity theft
cyber attacks. Different from the existing research that exploits shallow machine learning …

Using machine learning ensemble method for detection of energy theft in smart meters

AI Kawoosa, D Prashar, M Faheem… - IET Generation …, 2023 - Wiley Online Library
Electricity theft is a primary concern for utility providers, as it leads to substantial financial
losses. To address the issue, a novel extreme gradient boosting (XGBoost)‐based model …

Ensemble-Learning-based decision support system for energy-theft detection in smart-grid environment

F Mohammad, K Saleem, J Al-Muhtadi - Energies, 2023 - mdpi.com
Theft of electricity poses a significant risk to the public and is the most costly non-technical
loss for an electrical supplier. In addition to affecting the quality of the energy supply and the …