Applications of artificial intelligence and machine learning in smart cities

Z Ullah, F Al-Turjman, L Mostarda… - Computer Communications, 2020 - Elsevier
Smart cities are aimed to efficiently manage growing urbanization, energy consumption,
maintain a green environment, improve the economic and living standards of their citizens …

[HTML][HTML] Artificial intelligence for electricity supply chain automation

L Richter, M Lehna, S Marchand, C Scholz… - … and Sustainable Energy …, 2022 - Elsevier
Abstract The Electricity Supply Chain is a system of enabling procedures to optimize
processes ranging from production to transportation and consumption of electricity. The …

A comprehensive review of architecture, communication, and cybersecurity in networked microgrid systems

A Aghmadi, H Hussein, KH Polara, O Mohammed - Inventions, 2023 - mdpi.com
Networked microgrids (NMGs) are developing as a viable approach for integrating an
expanding number of distributed energy resources (DERs) while improving energy system …

A comprehensive survey on the cyber-security of smart grids: Cyber-attacks, detection, countermeasure techniques, and future directions

TT Khoei, HO Slimane, N Kaabouch - arXiv preprint arXiv:2207.07738, 2022 - arxiv.org
One of the significant challenges that smart grid networks face is cyber-security. Several
studies have been conducted to highlight those security challenges. However, the majority …

Application of artificial intelligence to network forensics: Survey, challenges and future directions

S Rizvi, M Scanlon, J Mcgibney, J Sheppard - Ieee Access, 2022 - ieeexplore.ieee.org
Network forensics focuses on the identification and investigation of internal and external
network attacks, the reverse engineering of network protocols, and the uninstrumented …

[HTML][HTML] Power grid surveillance: Topology change detection system using power line communications

JH Fernandez, A Omri, R Di Pietro - … Journal of Electrical Power & Energy …, 2023 - Elsevier
This paper proposes an efficient channel impulse response (CIR)-based technique to detect
topology changes in the power grid. The features of the proposed approach include the …

Machine learning and internet of things applications in enterprise architectures: Solutions, challenges, and open issues

Z Rehman, N Tariq, SA Moqurrab, J Yoo… - Expert …, 2024 - Wiley Online Library
The rapid growth of the Internet of Things (IoT) has led to its widespread adoption in various
industries, enabling enhanced productivity and efficient services. Integrating IoT systems …

Machine learning in generation, detection, and mitigation of cyberattacks in smart grid: A survey

NI Haque, MH Shahriar, MG Dastgir, A Debnath… - arXiv preprint arXiv …, 2020 - arxiv.org
Smart grid (SG) is a complex cyber-physical system that utilizes modern cyber and physical
equipment to run at an optimal operating point. Cyberattacks are the principal threats …

Power line communication and sensing using time series forecasting

Y Huo, G Prasad, L Lampe, V Leung - Sensors, 2022 - mdpi.com
Smart electrical grids rely on data communication to support their operation and on sensing
for diagnostics and maintenance. Usually, the roles of communication and sensing …

Full-duplex power line communications: Design and applications from multimedia to smart grid

G Prasad, L Lampe - IEEE Communications Magazine, 2019 - ieeexplore.ieee.org
PLC superimposes high-frequency data signals ranging from a few hundred Hertz to
hundreds of megahertz over the low-frequency electrical power carriers to reuse the existing …