A review on digital twin application in photovoltaic energy systems: challenges and opportunities
Author:
Funder
Universiti Teknologi Petronas
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s42791-024-00083-z.pdf
Reference180 articles.
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3. A.K. Sleiti, J.S. Kapat, L. Vesely, Digital twin in energy industry: proposed robust digital twin for power plant and other complex capital-intensive large engineering systems. Energy Rep. 8, 3704–3726 (2022). https://doi.org/10.1016/j.egyr.2022.02.305
4. T. Yalçin, P. ParadellSolà, P. Stefanidou-Voziki, J.L. Domínguez-García, T. Demirdelen, Exploiting digitalization of solar PV plants using machine learning: digital twin concept for operation. Energies (Basel) (2023). https://doi.org/10.3390/en16135044
5. J. Chase, Global PV market outlook. Bloomberg new energy finance. https://about.bnef.com/blog/3q-2023-global-pv-market-outlook/. Accessed 12 Jan 2024.
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