An Overview of Supervised Machine Learning Approaches for Applications in Active Distribution Networks

S Radhoush, BM Whitaker, H Nehrir - Energies, 2023 - mdpi.com
Distribution grids must be regularly updated to meet the global electricity demand. Some of
these updates result in fundamental changes to the structure of the grid network. Some …

Towards Resilient and Secure Smart Grids against PMU Adversarial Attacks: A Deep Learning-Based Robust Data Engineering Approach

T Berghout, M Benbouzid, Y Amirat - Electronics, 2023 - mdpi.com
In an attempt to provide reliable power distribution, smart grids integrate monitoring,
communication, and control technologies for better energy consumption and management …

Detection of False Data Injection Attacks in a Smart Grid Based on WLS and an Adaptive Interpolation Extended Kalman Filter

G Zhang, W Gao, Y Li, X Guo, P Hu, J Zhu - Energies, 2023 - mdpi.com
An accurate power state is the basis of the normal functioning of the smart grid. However,
false data injection attacks (FDIAs) take advantage of the vulnerability in the bad data …

Smart Preventive Maintenance of Hybrid Networks and IoT Systems Using Software Sensing and Future State Prediction

M Minea, VL Minea, A Semenescu - Sensors, 2023 - mdpi.com
At present, IoT and intelligent applications are developed on a large scale. However, these
types of new applications require stable wireless connectivity with sensors, based on …

[PDF][PDF] Detecting false data injection attacks in industrial Internet of Things using an optimized bidirectional gated recurrent unit-swarm optimization algorithm model

NS Divya, R Vatambeti - Acadlore Transactions on AI and …, 2023 - library.acadlore.com
The rapid adoption of the Industrial Internet of Things (IIoT) paradigm has left systems
vulnerable due to insufficient security measures. False data injection attacks (FDIAs) present …

A Novel False Measurement Data Detection Mechanism for Smart Grids

MA Shahid, F Ahmad, R Nawaz, SU Khan, A Wadood… - Energies, 2023 - mdpi.com
With the growing cyber-infrastructure of smart grids, the threat of cyber-attacks has
intensified, posing an increased risk of compromised communication links. Of particular …

Detection of False Data Injection Attacks in Smart Microgrid using Deep Learning to Improve Classification Algorithms

H Shahinzadeh, GB Gharehpetian… - … on Smart-Green …, 2023 - ieeexplore.ieee.org
Detecting false data injection (FDI) attacks poses a significant challenge in smart microgrids.
Recently, classification algorithms have been employed to address this issue. However, the …

Recent Advances in Distribution System State Estimation Algorithms: from Model-based to Data-driven Approach

W Sulaimon, I Habiballah - 2023 - preprints.org
This article presents a review of the distribution system state estimation (DSSE) algorithms
from the model-based approach to the recent data-driven methodologies. The insufficient …