A comprehensive review of cyber-attacks and defense mechanisms for improving security in smart grid energy systems: Past, present and future
Due to the advancement in communication networks, metering and smart control systems,
as well as the prevalent use of Internet-based structures, new forms of power systems have …
as well as the prevalent use of Internet-based structures, new forms of power systems have …
Machine learning for cybersecurity in smart grids: A comprehensive review-based study on methods, solutions, and prospects
Abstract In modern Smart Grids (SGs) ruled by advanced computing and networking
technologies, condition monitoring relies on secure cyberphysical connectivity. Due to this …
technologies, condition monitoring relies on secure cyberphysical connectivity. Due to this …
Evolution of smart grids towards the Internet of energy: Concept and essential components for deep decarbonisation
To achieve low‐carbon sustainable energy development, new technologies such as Internet
of Energy (IoE), intelligent systems and Internet of Things (IoT) as well as distributed energy …
of Energy (IoE), intelligent systems and Internet of Things (IoT) as well as distributed energy …
A review on application of artificial intelligence techniques in microgrids
E Mohammadi, M Alizadeh… - IEEE Journal of …, 2022 - ieeexplore.ieee.org
A microgrid can be formed by the integration of different components such as loads,
renewable/conventional units, and energy storage systems in a local area. Microgrids with …
renewable/conventional units, and energy storage systems in a local area. Microgrids with …
Towards artificial general intelligence (agi) in the internet of things (iot): Opportunities and challenges
Artificial General Intelligence (AGI), possessing the capacity to comprehend, learn, and
execute tasks with human cognitive abilities, engenders significant anticipation and intrigue …
execute tasks with human cognitive abilities, engenders significant anticipation and intrigue …
Early detection of cyber–physical attacks on fast charging stations using machine learning considering vehicle-to-grid operation in microgrids
ZS Warraich, WG Morsi - Sustainable Energy, Grids and Networks, 2023 - Elsevier
The fast-charging stations play an important role in increasing the adoption of the electric
vehicles. The “vehicle-to-grid” concept allows the electric vehicles to provide ancillary …
vehicles. The “vehicle-to-grid” concept allows the electric vehicles to provide ancillary …
Network Security in Cyberspace Using Machine Learning Techniques
Cyberspace has grown due to the widespread uses of the Internets and mobiles apps.
Attacks on the Internet are more likely to be automated and to last longer. Cyber security …
Attacks on the Internet are more likely to be automated and to last longer. Cyber security …
A review of AI-based cyber-attack detection and mitigation in microgrids
In this paper, the application and future vision of Artificial Intelligence (AI)-based techniques
in microgrids are presented from a cyber-security perspective of physical devices and …
in microgrids are presented from a cyber-security perspective of physical devices and …
Adaptive backstepping control for master-slave AC microgrid in smart island
To control a smart-island (which comprises three distributed generation (DG) units with their
autonomous converters), based on a nonlinear backstepping control (BSC) scheme, an …
autonomous converters), based on a nonlinear backstepping control (BSC) scheme, an …
Blockchain-assisted machine learning with hybrid metaheuristics-empowered cyber attack detection and classification model
Cyber attack detection is the process of detecting and responding to malicious or
unauthorized activities in networks, computer systems, and digital environments. The …
unauthorized activities in networks, computer systems, and digital environments. The …