Digital twin technology and artificial intelligence in energy transition: A comprehensive systematic review of applications
Laboratoire d’Informatique et Systèmes · Centre National de la Recherche Scientifique · +5 more institutions
Abstract
The transition to reliable, affordable, and sustainable energy is a continuing global challenge still shaped by the goals of carbon neutrality and mitigation of environmental impact. Achieving this transition will require a high degree of management skill, underpinned by advanced digital technologies, and new practice approaches. The use of Digital Twin (DT) technology, combined with Artificial Intelligence (AI) revolutionizing the management, maintenance, and real-time monitoring of renewable energy systems. This systematic literature review follows the PRISMA methodology to analyze 42 high-impact studies, providing a comprehensive synthesis of DT applications in the energy sector. The results reveal that…
Citation impact
- FWCI
- 55.04
- Percentile
- 100%
- References
- 97
Authors
6- AAAbdelali AbdessadakCorresponding
Laboratoire d’Informatique et Systèmes, Centre National de la Recherche Scientifique, Sidi Mohamed Ben Abdellah University, Moroccan Foundation for Advanced Science, Innovation and Research, Université de Toulon
- HGHicham Ghennioui
Sidi Mohamed Ben Abdellah University
- NTNadège Thirion‐Moreau
Université de Toulon, Centre National de la Recherche Scientifique, Laboratoire d’Informatique et Systèmes
- BEBrahim Elbhiri
Hassan II Academy of Science and Technology
- MAMounir Abraim
Institut of Research in Solar Energy and New Energies
Topics & keywords
- Applications of artificial intelligence
- Computer science
- Transition (genetics)
- Artificial intelligence
- Data science
- Chemistry
- Affordable and clean energy