Review on cyber-physical and cyber-security system in smart grid: Standards, protocols, constraints, and recommendations
The smart grid (SG) system is an intelligent technology that facilitates the integration of
green technology and environmental aspects, which is a two-way communication system for …
green technology and environmental aspects, which is a two-way communication system for …
State-of-the-art sustainable approaches for deeper decarbonization in Europe–An endowment to climate neutral vision
Europe anchored aspiring targets in achieving climate neutrality and this motivates the
research communities to analyze, investigate and frame strategies to achieve the goals in …
research communities to analyze, investigate and frame strategies to achieve the goals in …
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 …
Energy digitalization: Main categories, applications, merits, and barriers
Increased consumption of fossil fuels has contributed to a rise in abnormal weather
conditions. Utilizing renewable energy sources is one of the most effective methods for …
conditions. Utilizing renewable energy sources is one of the most effective methods for …
Analysis of safety and security challenges and opportunities related to cyber-physical systems
A cyber-physical system (CPS) is an interconnected physical system that can be monitored,
controlled, and operated remotely. A systems-based analysis of CPS is critical for enhancing …
controlled, and operated remotely. A systems-based analysis of CPS is critical for enhancing …
A comprehensive overview of modeling approaches and optimal control strategies for cyber-physical resilience in power systems
Cyber–physical systems (CPSs) are confronted with major problems, such as high
proportions of renewable energy penetration and frequent extreme events, which severely …
proportions of renewable energy penetration and frequent extreme events, which severely …
[HTML][HTML] Review on interpretable machine learning in smart grid
In recent years, machine learning, especially deep learning, has developed rapidly and has
shown remarkable performance in many tasks of the smart grid field. The representation …
shown remarkable performance in many tasks of the smart grid field. The representation …
[HTML][HTML] Proposed algorithm for smart grid DDoS detection based on deep learning
SY Diaba, M Elmusrati - Neural Networks, 2023 - Elsevier
Abstract The Smart Grid's objective is to increase the electric grid's dependability, security,
and efficiency through extensive digital information and control technology deployment. As a …
and efficiency through extensive digital information and control technology deployment. As a …
A comprehensive review of cybersecurity in inverter-based smart power system amid the boom of renewable energy
The blossom of renewable energy worldwide and its uncertain nature have driven the need
for a more intelligent power system with the deep integration of smart power electronics. The …
for a more intelligent power system with the deep integration of smart power electronics. The …
A Cyber-Secure generalized supermodel for wind power forecasting based on deep federated learning and image processing
H Moayyed, A Moradzadeh… - Energy Conversion and …, 2022 - Elsevier
Accurate wind power forecasting is one of the most important operations within the
economic dispatch problem to increase the performance of power and energy systems …
economic dispatch problem to increase the performance of power and energy systems …