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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 …
[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 …
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 …
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) …
Will artificial intelligence make energy cleaner? Evidence of nonlinearity
CC Lee, J Yan - Applied Energy, 2024 - Elsevier
Energy plays a vital part in stimulating economic progress, and the shift towards a cleaner
energy system is highly significant for ensuring the sustainable development of the …
energy system is highly significant for ensuring the sustainable development of the …
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 …
Do the benefits outweigh the disadvantages? Exploring the role of artificial intelligence in renewable energy
Probing the essential role of artificial intelligence in the energy market is crucial to improving
the development of renewable energy. The research adopts the full and sub sample …
the development of renewable energy. The research adopts the full and sub sample …
Machine learning-based intrusion detection for smart grid computing: A survey
Machine learning (ML)-based intrusion detection system (IDS) approaches have been
significantly applied and advanced the state-of-the-art system security and defense …
significantly applied and advanced the state-of-the-art system security and defense …