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 …

Experimental validation of a remedial action via Hardware-in-the-Loop System against cyberattacks targeting a lab-scale PV/Wind Microgrid

E Naderi, A Asrari - IEEE Transactions on Smart Grid, 2023 - ieeexplore.ieee.org
This paper experimentally validates the effectiveness of a primary/backup framework in
preventing/mitigating the impacts of false data injection (FDI) cyberattacks targeting a lab …

An ANN-entropy-FA model for prediction and optimization of biodiesel-based engine performance

S Chaki, TK Biswas - Applied Soft Computing, 2023 - Elsevier
The present work incorporated full factorial experimentation for performance analysis of
Nahar oil-based biodiesel in a four-stroke diesel engine. The controllable input parameters …

Toward detecting cyberattacks targeting modern power grids: A deep learning framework

E Naderi, A Asrari - 2022 IEEE World AI IoT Congress (AIIoT), 2022 - ieeexplore.ieee.org
Modern power and energy networks include a plethora of distributed control and monitoring
equipment, exchanging data through information and communication technology (ICT) …

A privacy-preserving scheme for smart grid using trusted execution environment

M Akgün, EU Soykan, G Soykan - IEEE Access, 2023 - ieeexplore.ieee.org
The increasing transformation from the legacy power grid to the smart grid brings new
opportunities and challenges to power system operations. Bidirectional communications …

CrowdDCNN: Deep convolution neural network for real-time crowd counting on IoT edge

R Chavan, G Rani, P Thakkar, VS Dhaka - Engineering Applications of …, 2023 - Elsevier
Ensuring the safety and security of crowded places is a major concern for both the
government and the public. Accurately and quickly estimating the number of people in a …

A coordinated cyberattack targeting load centers and renewable distributed energy resources for undervoltage/overvoltage in the most vulnerable regions of a modern …

E Naderi, S Pazouki, A Asrari - Sustainable Cities and Society, 2023 - Elsevier
An integral step for system operators in protecting modern distribution systems and smart
cities against future cyberattacks is to primarily scrutinize complex cyberattack models …

Trends in Smart Grid Cyber-Physical Security: Components, Threats and Solutions

DM Manias, AM Saber, MI Radaideh, AT Gaber… - IEEE …, 2024 - ieeexplore.ieee.org
The increasing focus on cyber-physical security in Smart Grids (SGs) has catalyzed a surge
in research over recent years. This paper comprehensively reviews SG cyber-physical …

Primal dual algorithm for solving the nonsmooth Twin SVM

S Lyaqini, A Hadri, A Ellahyani, M Nachaoui - Engineering Applications of …, 2024 - Elsevier
In this paper, we propose an improved version of Twin SVM using a non-smooth
optimization method. Twin SVM generally consists in determining two non-parallel planes by …

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 …