Data Integration Framework for Virtual Reality Enabled Digital Twins. - Florian Stadtmann; Hary Pirajan Mahalingam; Adil Rasheed (WF-IoT, 2023)

Digital Twins in Wind Energy: Emerging Technologies and Industry-Informed Future Directions. - Florian Stadtmann; Adil Rasheed; Trond Kvamsdal; Kjetil André Johannessen; Omer San; Konstanze Kölle; John Olav Giæver Tande; Idar Barstad; Alexis Benhamou; Thomas Brathaug; Tore Christiansen; Anouk-Letizia Firle; et al. (IEEE Access, 2023)

Digital Twins in Wind Energy: Emerging Technologies and Industry-Informed Future Directions. - Florian Stadtmann; Adil Rasheed; Trond Kvamsdal; Kjetil André Johannessen; Omer San; Konstanze Kölle; John Olav Giæver Tande; Idar Barstad; Alexis Benhamou; Thomas Brathaug; Tore Christiansen; Anouk-Letizia Firle; et al. (CoRR, 2023)

Machine Learning for enhancing Wind Field Resolution in Complex Terrain. - Jacob Wulff Wold; Florian Stadtmann; Adil Rasheed; Mandar V. Tabib; Omer San; Jan-Tore Horn (CoRR, 2023)

Digital Twin for Wind Energy: Latest updates from the NorthWind project. - Adil Rasheed; Florian Stadtmann; Eivind Fonn; Mandar V. Tabib; Vasileios Tsiolakis; Balram Panjwani; Kjetil André Johannessen; Trond Kvamsdal; Omer San; John Olav Giæver Tande; Idar Barstad; Tore Christiansen; et al. (CoRR, 2024)

Diagnostic Digital Twin for Anomaly Detection in Floating Offshore Wind Energy. - Florian Stadtmann; Adil Rasheed (CoRR, 2024)

Predictive Digital Twin for Condition Monitoring Using Thermal Imaging. - Daniel Menges; Florian Stadtmann; Henrik Jordheim; Adil Rasheed (CoRR, 2024)

Enhancing wind field resolution in complex terrain through a knowledge-driven machine learning approach. - Jacob Wulff Wold; Florian Stadtmann; Adil Rasheed; Mandar V. Tabib; Omer San; Jan-Tore Horn (Eng. Appl. Artif. Intell., 2024)

Physics-guided federated learning as an enabler for digital twins. - Florian Stadtmann; Erik Rugaard Furevik; Adil Rasheed; Trond Kvamsdal (Expert Syst. Appl., 2024)