Digital Twins in Wind Energy: Emerging Technologies and Industry-Informed Future Directions

Digital Twins in Wind Energy: Emerging Technologies and Industry-Informed Future Directions

This article presents a comprehensive overview of the digital twin technology and its capability levels, with a specific focus on its applications in the wind energy industry. It consolidates the definitions of digital twin and its capability levels on a scale from 0-5; 0-standalone, 1-descriptive,...

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Bibliographic Details
Main Authors: Florian Stadtmann, Adil Rasheed, Trond Kvamsdal, Kjetil Andre Johannessen, Omer San, Konstanze Kolle, John Olav Tande, Idar Barstad, Alexis Benhamou, Thomas Brathaug, Tore Christiansen, Anouk-Letizia Firle, Alexander Fjeldly, Lars Froyd, Alexander Gleim, Alexander Hoiberget, Catherine Meissner, Guttorm Nygard, Jorgen Olsen, Havard Paulshus, Tore Rasmussen, Elling Rishoff, Francesco Scibilia, John Olav Skogas
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Artificial intelligence
digital twin
machine learning
hybrid analysis and modeling
wind energy
Online Access:https://ieeexplore.ieee.org/document/10268901/

Internet

https://ieeexplore.ieee.org/document/10268901/

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