Data privacy preservation and security in smart metering systems
Smart meters (SMs) can play a key role in monitoring vital aspects of different applications
such as smart grids (SG), alternative currents (AC) optimal power flows, adversarial training …
such as smart grids (SG), alternative currents (AC) optimal power flows, adversarial training …
FDI attack detection using extra trees algorithm and deep learning algorithm-autoencoder in smart grid
SH Majidi, S Hadayeghparast, H Karimipour - International Journal of …, 2022 - Elsevier
Today's smart grid (SG) combines the classical power system with the information
technology, leading to a cyber-physical system (CPS). Its strong dependencies on digital …
technology, leading to a cyber-physical system (CPS). Its strong dependencies on digital …
Machine learning benchmarking for secured iot smart systems
Smartness and IoT along with machine learning (ML) lead the research directions
nowadays. Smart city, smart campus, smart home, smart vehicle, etc; or if we call it “Smart x” …
nowadays. Smart city, smart campus, smart home, smart vehicle, etc; or if we call it “Smart x” …
Cybersecurity enhancement of smart grid: Attacks, methods, and prospects
Smart grid is an emerging system providing many benefits in digitizing the traditional power
distribution systems. However, the added benefits of digitization and the use of the Internet …
distribution systems. However, the added benefits of digitization and the use of the Internet …
Real-time locational detection of stealthy false data injection attack in smart grid: Using multivariate-based multi-label classification approach
Recently, false data injection attacks (FDIAs) have been identified as a significant category
of cyber-attacks targeting smart grids' state estimation and monitoring systems. These cyber …
of cyber-attacks targeting smart grids' state estimation and monitoring systems. These cyber …
[HTML][HTML] Integrating big data and blockchain to manage energy smart grids—TOTEM framework
The demand for electricity is increasing exponentially day by day, especially with the arrival
of electric vehicles. In the smart community neighborhood project, electricity should be …
of electric vehicles. In the smart community neighborhood project, electricity should be …
Automated prediction system of household energy consumption in cities using web crawler and optimized artificial intelligence
JS Chou, SM Hsu - International Journal of Energy Research, 2022 - Wiley Online Library
The supply of electrical energy is critical to convenient and comfortable living. However,
people consume a large amount of energy, contributing to an energy crisis and global …
people consume a large amount of energy, contributing to an energy crisis and global …
Enhanced Memetic Algorithm‐Based Extreme Learning Machine Model for Smart Grid Stability Prediction
The smart grid is considered a conventional application domain of cyber‐physical system
(CPS) tools in the electrical utility industry. The physical system dynamics of SG with the …
(CPS) tools in the electrical utility industry. The physical system dynamics of SG with the …
Smart grid stability prediction using genetic algorithm-based extreme learning machine
The cutting-edge electrical utility industry is quick advancing into a keen blend of best-in-
class digital advancements with the actual foundation, famously alluded to as cyber-physical …
class digital advancements with the actual foundation, famously alluded to as cyber-physical …
Online Location-based Detection of False Data Injection Attacks in Smart Grid Using Deep Learning
The smart grid is a multi-dimensional data-generating cyber-physical system. Distributed
architectures and the heterogeneous nature of the Internet-of-Things (IoT) sensors make it …
architectures and the heterogeneous nature of the Internet-of-Things (IoT) sensors make it …