A review on digital twin technology in smart grid, transportation system and smart city: Challenges and future
With recent advances in information and communication technology (ICT), the bleeding
edge concept of digital twin (DT) has enticed the attention of many researchers to …
edge concept of digital twin (DT) has enticed the attention of many researchers to …
Artificial intelligence in healthcare: review, ethics, trust challenges & future research directions
The use of artificial intelligence (AI) in medicine is beginning to alter current procedures in
prevention, diagnosis, treatment, amelioration, cure of disease and other physical and …
prevention, diagnosis, treatment, amelioration, cure of disease and other physical and …
Deep learning based attack detection for cyber-physical system cybersecurity: A survey
With the booming of cyber attacks and cyber criminals against cyber-physical systems
(CPSs), detecting these attacks remains challenging. It might be the worst of times, but it …
(CPSs), detecting these attacks remains challenging. It might be the worst of times, but it …
Deep learning models for solar irradiance forecasting: A comprehensive review
The growing human population in this modern society hugely depends on the energy to
fulfill their day-to-day needs and activities. Renewable energy sources, especially solar …
fulfill their day-to-day needs and activities. Renewable energy sources, especially solar …
[HTML][HTML] Artificial intelligence in renewable energy: A comprehensive bibliometric analysis
L Zhang, J Ling, M Lin - Energy Reports, 2022 - Elsevier
In recent years, artificial intelligence methods have been widely applied to solve issues
related to renewable energy because of their ability to solve nonlinear and complex data …
related to renewable energy because of their ability to solve nonlinear and complex data …
DeepFed: Federated deep learning for intrusion detection in industrial cyber–physical systems
The rapid convergence of legacy industrial infrastructures with intelligent networking and
computing technologies (eg, 5G, software-defined networking, and artificial intelligence) …
computing technologies (eg, 5G, software-defined networking, and artificial intelligence) …
A review of deep learning for renewable energy forecasting
As renewable energy becomes increasingly popular in the global electric energy grid,
improving the accuracy of renewable energy forecasting is critical to power system planning …
improving the accuracy of renewable energy forecasting is critical to power system planning …
Smart grid cyber-physical attack and defense: A review
Recent advances in the cyber-physical smart grid (CPSG) have enabled a broad range of
new devices based on the information and communication technology (ICT). However, these …
new devices based on the information and communication technology (ICT). However, these …
Machine learning driven smart electric power systems: Current trends and new perspectives
MS Ibrahim, W Dong, Q Yang - Applied Energy, 2020 - Elsevier
The current power systems are undergoing a rapid transition towards their more active,
flexible, and intelligent counterpart smart grid, which brings about tremendous challenges in …
flexible, and intelligent counterpart smart grid, which brings about tremendous challenges in …
Deep learning in the industrial internet of things: Potentials, challenges, and emerging applications
Recent advances in the Internet of Things (IoT) are giving rise to a proliferation of
interconnected devices, allowing the use of various smart applications. The enormous …
interconnected devices, allowing the use of various smart applications. The enormous …