[HTML][HTML] Systematic review of energy theft practices and autonomous detection through artificial intelligence methods
E Stracqualursi, A Rosato, G Di Lorenzo… - … and Sustainable Energy …, 2023 - Elsevier
Energy theft poses a significant challenge for all parties involved in energy distribution, and
its detection is crucial for maintaining stable and financially sustainable energy grids. One …
its detection is crucial for maintaining stable and financially sustainable energy grids. One …
[HTML][HTML] A comprehensive review of potential protection methods for VSC multi-terminal HVDC systems
High voltage direct current (HVDC) transmission systems represent a significant
development for future power systems due to presenting promising solutions for long …
development for future power systems due to presenting promising solutions for long …
Genetic algorithm-based cumulative sum method for jamming attack detection of cyber-physical power systems
Jamming attack is one of the common malicious attacks in cyber-physical power systems
(CPPSs) to intervene measurements and systems. Timely detection of jamming attacks is …
(CPPSs) to intervene measurements and systems. Timely detection of jamming attacks is …
[HTML][HTML] Step towards secure and reliable smart grids in Industry 5.0: A federated learning assisted hybrid deep learning model for electricity theft detection using smart …
Abstract The integration of Smart Grid technology and conceptual Industry 5.0 has paved the
way for advanced energy management systems that enhance efficiency and revolutionized …
way for advanced energy management systems that enhance efficiency and revolutionized …
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 …
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 …
Smart meter data analytics applications for secure, reliable and robust grid system: Survey and future directions
The new power sector scenario has focused on integrating renewable energy sources into
the grid and achieving trustworthy consumer-utility-stakeholder relationships using smart …
the grid and achieving trustworthy consumer-utility-stakeholder relationships using smart …
A hybrid ConvLSTM-based anomaly detection approach for combating energy theft
In a conventional power grid, energy theft is difficult to detect due to limited communication
and data transition. The smart meter along with big data mining technology leads to …
and data transition. The smart meter along with big data mining technology leads to …
[HTML][HTML] Data-driven intelligent method for detection of electricity theft
J Chen, YA Nanehkaran, W Chen, Y Liu… - International Journal of …, 2023 - Elsevier
Anti-electricity leakage or stealing plays a crucial role in the energy market as accurate
detection is beneficial for electricity safety, unit commitment, reduction of corporate losses …
detection is beneficial for electricity safety, unit commitment, reduction of corporate losses …
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 …