IoT-enabled smart grid via SM: An overview

F Al-Turjman, M Abujubbeh - Future generation computer systems, 2019 - Elsevier
Power quality and reliability issues are big challenges to both service provider and
consumers in conventional power grids. The ongoing technological advancements in the …

Performance analysis of electricity theft detection for the smart grid: An overview

Z Yan, H Wen - IEEE Transactions on Instrumentation and …, 2021 - ieeexplore.ieee.org
Electricity theft has been a growing concern for the smart grid. It can be defined as follows:
illegal customers use energy from electric utilities without a contract or manipulate their …

[HTML][HTML] Theft detection dataset for benchmarking and machine learning based classification in a smart grid environment

S Zidi, A Mihoub, SM Qaisar, M Krichen… - Journal of King Saud …, 2023 - Elsevier
Smart meters are key elements of a smart grid. These data from Smart Meters can help us
analyze energy consumption behaviour. The machine learning and deep learning …

Electricity theft detection in smart grids based on deep neural network

LJ Lepolesa, S Achari, L Cheng - Ieee Access, 2022 - ieeexplore.ieee.org
Electricity theft is a global problem that negatively affects both utility companies and
electricity users. It destabilizes the economic development of utility companies, causes …

A practical feature-engineering framework for electricity theft detection in smart grids

R Razavi, A Gharipour, M Fleury, IJ Akpan - Applied energy, 2019 - Elsevier
Despite many potential advantages, Advanced Metering Infrastructures have introduced
new ways to falsify meter readings and commit electricity theft. This study contributes a new …

A comparative analysis of unbalanced data handling techniques for machine learning algorithms to electricity theft detection

J Pereira, F Saraiva - 2020 IEEE congress on evolutionary …, 2020 - ieeexplore.ieee.org
Non-technical losses of electric energy are mainly caused by electricity theft, causing
damage to power utilities, reducing profits, increasing the energy costs to other consumers …

Energy theft detection in smart grids: Taxonomy, comparative analysis, challenges, and future research directions

M Ahmed, A Khan, M Ahmed, M Tahir… - IEEE/CAA Journal of …, 2022 - ieeexplore.ieee.org
Electricity theft is one of the major issues in developing countries which is affecting their
economy badly. Especially with the introduction of emerging technologies, this issue …

A comprehensive analysis of supervised learning techniques for electricity theft detection

FA Bohani, A Suliman, M Saripuddin… - Journal of Electrical …, 2021 - Wiley Online Library
There are many methods or algorithms applicable for detecting electricity theft. However,
comparative studies on supervised learning methods for electricity theft detection are still …

Energy theft in smart grids: a survey on data-driven attack strategies and detection methods

A Althobaiti, A Jindal, AK Marnerides, U Roedig - IEEE access, 2021 - ieeexplore.ieee.org
The convergence of legacy power system components with advanced networking and
communication facilities have led towards the development of smart grids. Smart grids are …

A data analytics/big data framework for advanced metering infrastructure data

JS Guerrero-Prado, W Alfonso-Morales… - Sensors, 2021 - mdpi.com
The Advanced Metering Infrastructure (AMI) data represent a source of information in real
time not only about electricity consumption but also as an indicator of other social …