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

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

16 April 2023
Florian Stadtmann
Adil Rasheed
T. Kvamsdal
K. Johannessen
Omer San
Konstanze Kölle
J. Tande
I. Barstad
A. Benhamou
Thomas Brathaug
Tore Christiansen
Anouk-Letizia Firle
A. Fjeldly
Lars Frøyd
Alexander Gleim
Alexander Hoiberget
C. Meissner
Guttorm Nygård
Jorgen Olsen
Håvard Paulshus
Tore Rasmussen
E. Rishoff
Francesco Scibilia
John Olav Skogås
ArXivPDFHTML

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

6 / 6 papers shown
Title
Toward a digital twin of U.S. Congress
Toward a digital twin of U.S. Congress
Hayden Helm
Tianyi Chen
Harvey McGuinness
Paige Lee
Brandon Duderstadt
Carey E. Priebe
31
0
0
04 Apr 2025
PINN-DT: Optimizing Energy Consumption in Smart Building Using Hybrid Physics-Informed Neural Networks and Digital Twin Framework with Blockchain Security
PINN-DT: Optimizing Energy Consumption in Smart Building Using Hybrid Physics-Informed Neural Networks and Digital Twin Framework with Blockchain Security
Hajar Kazemi Naeini
Roya Shomali
Abolhassan Pishahang
Hamidreza Hasanzadeh
Mahdieh Mohammadi
Saeid Asadi
Abbas Varmaghani
Ahmad Gholizadeh Lonbar
AI4CE
37
2
0
01 Mar 2025
Diagnostic Digital Twin for Anomaly Detection in Floating Offshore Wind
  Energy
Diagnostic Digital Twin for Anomaly Detection in Floating Offshore Wind Energy
Florian Stadtmann
Adil Rasheed
28
0
0
04 Jun 2024
Physics guided machine learning using simplified theories
Physics guided machine learning using simplified theories
Suraj Pawar
Omer San
Burak Aksoylu
Adil Rasheed
T. Kvamsdal
PINN
AI4CE
105
106
0
18 Dec 2020
A Probabilistic Graphical Model Foundation for Enabling Predictive
  Digital Twins at Scale
A Probabilistic Graphical Model Foundation for Enabling Predictive Digital Twins at Scale
Michael G. Kapteyn
Jacob V. R. Pretorius
Karen E. Willcox
36
215
0
10 Dec 2020
Integrating Scientific Knowledge with Machine Learning for Engineering
  and Environmental Systems
Integrating Scientific Knowledge with Machine Learning for Engineering and Environmental Systems
J. Willard
X. Jia
Shaoming Xu
M. Steinbach
Vipin Kumar
AI4CE
91
389
0
10 Mar 2020
1