Non-technical losses: A systematic contemporary article review

F de Souza Savian, JCM Siluk, TB Garlet… - … and Sustainable Energy …, 2021 - Elsevier
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 …

Review of non-technical loss detection methods

GM Messinis, ND Hatziargyriou - Electric Power Systems Research, 2018 - Elsevier
Electricity theft has been a major issue for many years. Distribution System Operators
(DSOs) have been trying to detect electricity theft, however the phenomenon insists, while …

Wide and deep convolutional neural networks for electricity-theft detection to secure smart grids

Z Zheng, Y Yang, X Niu, HN Dai… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
Electricity theft is harmful to power grids. Integrating information flows with energy flows,
smart grids can help to solve the problem of electricity theft owning to the availability of …

Electricity theft detection in power grids with deep learning and random forests

S Li, Y Han, X Yao, S Yingchen… - Journal of Electrical …, 2019 - Wiley Online Library
As one of the major factors of the nontechnical losses (NTLs) in distribution networks, the
electricity theft causes significant harm to power grids, which influences power supply quality …

Detection methods in smart meters for electricity thefts: A survey

X Xia, Y Xiao, W Liang, J Cui - Proceedings of the IEEE, 2022 - ieeexplore.ieee.org
For accommodating rapidly increasing power demands, power systems are transitioning
from analog systems to systems with increasing digital control and communications …

Emotion AI at work: Implications for workplace surveillance, emotional labor, and emotional privacy

K Roemmich, F Schaub, N Andalibi - … of the 2023 CHI Conference on …, 2023 - dl.acm.org
Workplaces are increasingly adopting emotion AI, promising benefits to organizations.
However, little is known about the perceptions and experiences of workers subject to …

Hybrid deep neural networks for detection of non-technical losses in electricity smart meters

MM Buzau, J Tejedor-Aguilera… - … on Power Systems, 2019 - ieeexplore.ieee.org
Non-technical losses (NTL) in electricity utilities are responsible for major revenue losses. In
this paper, we propose a novel end-to-end solution to self-learn the features for detecting …

Drift-aware methodology for anomaly detection in smart grid

G Fenza, M Gallo, V Loia - IEEE Access, 2019 - ieeexplore.ieee.org
Energy efficiency and sustainability are important factors to address in the context of smart
cities. In this sense, smart metering and nonintrusive load monitoring play a crucial role in …

Solutions for detection of non-technical losses in the electricity grid: A review

JL Viegas, PR Esteves, R Melicio, VMF Mendes… - … and Sustainable Energy …, 2017 - Elsevier
This paper is a review of literature with an analysis on a selection of scientific studies for
detection of non-technical losses. Non-technical losses occurring in the electric grid at level …

A review of distribution network applications based on smart meter data analytics

CL Athanasiadis, TA Papadopoulos… - … and Sustainable Energy …, 2024 - Elsevier
The large-scale roll-out of smart meters allows the collection of a vast amount of fine-grained
electricity consumption data. Once analyzed, such data can enable cutting-edge data-driven …