Non-technical losses: A systematic contemporary article review
Non-technical losses refer to all electricity consumption not billed and represent a significant
problem that has consequences to all sectors and a substantial negative impact on some …
problem that has consequences to all sectors and a substantial negative impact on some …
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 …
Artificial intelligence enabled demand response: Prospects and challenges in smart grid environment
Demand Response (DR) has gained popularity in recent years as a practical strategy to
increase the sustainability of energy systems while reducing associated costs. Despite this …
increase the sustainability of energy systems while reducing associated costs. Despite this …
Electricity theft detection using supervised learning techniques on smart meter data
Due to the increase in the number of electricity thieves, the electric utilities are facing
problems in providing electricity to their consumers in an efficient way. An accurate …
problems in providing electricity to their consumers in an efficient way. An accurate …
A stacked machine and deep learning-based approach for analysing electricity theft in smart grids
The role of electricity theft detection (ETD) is critical to maintain cost-efficiency in smart grids.
However, existing methods for theft detection can struggle to handle large electricity …
However, existing methods for theft detection can struggle to handle large electricity …
[HTML][HTML] Deep learning for intelligent demand response and smart grids: A comprehensive survey
Electricity is one of the mandatory commodities for mankind today. To address challenges
and issues in the transmission of electricity through the traditional grid, the concepts of smart …
and issues in the transmission of electricity through the traditional grid, the concepts of smart …
A novel unsupervised data-driven method for electricity theft detection in AMI using observer meters
The smart meter data of the advanced metering infrastructure (AMI) can be tampered by
electricity thieves with advanced digital instruments or cyber attacks to reduce their electricity …
electricity thieves with advanced digital instruments or cyber attacks to reduce their electricity …
An efficient boosted C5. 0 decision-tree-based classification approach for detecting non-technical losses in power utilities
Electricity fraud in billing are the primary concerns for Distribution System Operators (DSO).
It is estimated that billions of dollars are wasted annually due to these illegal activities. DSOs …
It is estimated that billions of dollars are wasted annually due to these illegal activities. DSOs …
Multi-view broad learning system for electricity theft detection
Electricity theft poses a huge hazard to the economic efficiency of power companies and the
safe operation of the power system. Analysis of smart grid data can help to identify abnormal …
safe operation of the power system. Analysis of smart grid data can help to identify abnormal …
Deep active learning-enabled cost-effective electricity theft detection in smart grids
In industrial informatics-enabled smart grids, machine learning approaches have exhibited
high potential in data-driven electricity theft detection (ETD), whereas none of the existing …
high potential in data-driven electricity theft detection (ETD), whereas none of the existing …