An unsupervised adversarial autoencoder for cyber attack detection in power distribution grids

MJ Zideh, MR Khalghani, SK Solanki - Electric Power Systems Research, 2024 - Elsevier
Detection of cyber attacks in smart power distribution grids with unbalanced configurations
poses challenges due to the inherent nonlinear nature of these uncertain and stochastic …

Load Margin Assessment of Power Systems Using Physics-Informed Neural Network with Optimized Parameters

MEC Bento - Energies, 2024 - mdpi.com
Challenges in the operation of power systems arise from several factors such as the
interconnection of large power systems, integration of new energy sources and the increase …

Reinforcing smart grid integrity: an enhanced cybersecurity framework for plug-in hybrid electric vehicles

RA Kumar, RS Ganesh - Electrical Engineering, 2024 - Springer
PHEVs offer significant advantages in terms of reducing carbon emissions and reliance on
fossil fuels, making them increasingly popular in the transition towards sustainable energy …

融合无监督和有监督学习的虚假数据注入攻击检测.

黄冬梅, 王一帆, 胡安铎, 周游… - Electric Power …, 2024 - search.ebscohost.com
虚假数据注入攻击(falsedatainjectionattack, FDIA) 是智能电网安全与稳定运行面临的严重威胁.
文中针对FDIA 检测中存在的有标签数据稀少, 正常和攻击样本极不平衡的问题 …

Multi-Edge Graph Convolutional Networks for Power Systems

A Ravi, L Bai, F Ding, H Wang - 2024 IEEE Texas Power and …, 2024 - ieeexplore.ieee.org
The exponential electrification of transportation has contributed to highly intermittent load
variations in the distribution grid. This uncertainty has raised challenges for distribution …

Securing transportation web applications: An AI-driven approach to detect and mitigate SQL injection attacks

N Mohamed - Journal of Transportation Security, 2024 - Springer
Cybersecurity is a critical concern in the transportation sector, where web applications play a
pivotal role in managing essential services and sensitive data. Among the various cyber …

A parallel approach for ultra-fast state estimation in large power system using graph partitioning theory

BK Sarmadi, AS Dobakhshari - Acta IMEKO, 2024 - acta.imeko.org
This paper introduces a novel approach for multi-area state estimation in large transmission
networks through the application of graph partitioning theory. By harnessing the eigenvalues …