Survey of security advances in smart grid: A data driven approach

S Tan, D De, WZ Song, J Yang… - … Surveys & Tutorials, 2016 - ieeexplore.ieee.org
With the integration of advanced computing and communication technologies, smart grid is
considered as the next-generation power system, which promises self healing, resilience …

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 …

Electricity theft detection in smart grid systems: A CNN-LSTM based approach

MN Hasan, RN Toma, AA Nahid, MMM Islam, JM Kim - Energies, 2019 - mdpi.com
Among an electricity provider's non-technical losses, electricity theft has the most severe and
dangerous effects. Fraudulent electricity consumption decreases the supply quality …

Real-time detection of false data injection attacks in smart grid: A deep learning-based intelligent mechanism

Y He, GJ Mendis, J Wei - IEEE Transactions on Smart Grid, 2017 - ieeexplore.ieee.org
Application of computing and communications intelligence effectively improves the quality of
monitoring and control of smart grids. However, the dependence on information technology …

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 theft detection in AMI using customers' consumption patterns

P Jokar, N Arianpoo, VCM Leung - IEEE Transactions on Smart …, 2015 - ieeexplore.ieee.org
As one of the key components of the smart grid, advanced metering infrastructure brings
many potential advantages such as load management and demand response. However …

A novel combined data-driven approach for electricity theft detection

K Zheng, Q Chen, Y Wang, C Kang… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
The two-way flow of information and energy is an important feature of the Energy Internet.
Data analytics is a powerful tool in the information flow that aims to solve practical problems …

Deep learning detection of electricity theft cyber-attacks in renewable distributed generation

M Ismail, MF Shaaban, M Naidu… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Unlike the existing research that focuses on detecting electricity theft cyber-attacks in the
consumption domain, this paper investigates electricity thefts at the distributed generation …

Energy theft detection with energy privacy preservation in the smart grid

D Yao, M Wen, X Liang, Z Fu, K Zhang… - IEEE Internet of Things …, 2019 - ieeexplore.ieee.org
As a prominent early instance of the Internet of Things in the smart grid, the advanced
metering infrastructure (AMI) provides real-time information from smart meters to both grid …

Energy-theft detection issues for advanced metering infrastructure in smart grid

R Jiang, R Lu, Y Wang, J Luo, C Shen… - Tsinghua Science and …, 2014 - ieeexplore.ieee.org
With the proliferation of smart grid research, the Advanced Metering Infrastructure (AMI) has
become the first ubiquitous and fixed computing platform. However, due to the unique …