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 …
illegal customers use energy from electric utilities without a contract or manipulate their …
Electricity theft detection base on extreme gradient boosting in AMI
Z Yan, H Wen - IEEE Transactions on Instrumentation and …, 2021 - ieeexplore.ieee.org
Metering data from the advanced metering infrastructure can be used to find abnormal
electricity behavior for the detection of electricity theft, which causes huge financial losses to …
electricity behavior for the detection of electricity theft, which causes huge financial losses to …
Smart metering in EU and the energy theft problem
SI Gerasopoulos, NM Manousakis, CS Psomopoulos - Energy Efficiency, 2022 - Springer
The existing power systems as well as the smart grids utilize a number of advanced
computing, networking, and measurement technologies that improve their planning and …
computing, networking, and measurement technologies that improve their planning and …
Anomaly detection with machine learning algorithms and big data in electricity consumption
When analyzing smart metering data, both reading errors and frauds can be identified. The
purpose of this analysis is to alert the utility companies to suspicious consumption behavior …
purpose of this analysis is to alert the utility companies to suspicious consumption behavior …
Electricity theft detection using Euclidean and graph convolutional neural networks
The widespread penetration of advanced metering infrastructure brings an opportunity to
detect electricity theft by analyzing the electricity consumption data collected from smart …
detect electricity theft by analyzing the electricity consumption data collected from smart …
Machine learning classification algorithms and anomaly detection in conventional meters and Tunisian electricity consumption large datasets
Although fraud in electricity consumption is easier to detect when consumption is recorded
hourly by smart meters, in most developing countries, where the propensity for fraud is …
hourly by smart meters, in most developing countries, where the propensity for fraud is …
BiGRU-CNN neural network applied to electric energy theft detection
L Duarte Soares, A de Souza Queiroz, GP López… - Electronics, 2022 - mdpi.com
This paper presents an assessment of the potential behind the BiGRU-CNN artificial neural
network to be used as an electric power theft detection tool. The network is based on …
network to be used as an electric power theft detection tool. The network is based on …
Energy theft detection in smart grids: Taxonomy, comparative analysis, challenges, and future research directions
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 …
economy badly. Especially with the introduction of emerging technologies, this issue …
Spectral analysis of lungs sounds for classification of asthma and pneumonia wheezing
World Health Organization Statistics declares the pulmonic illness as the class of deadly
illness. Wheezing is a key indicator for the diagnosis of pulmonic illnesses like Asthma and …
illness. Wheezing is a key indicator for the diagnosis of pulmonic illnesses like Asthma and …