Florian Stadtmann
Publications
2025
-
Stadtmann, Florian;
Rasheed, Adil;
Kvamdsal, Trond.
(2025)
Enabling Technologies for Digital Twins in Wind Energy.
NTNU Norges teknisk-naturvitenskapelige universitet
NTNU Norges teknisk-naturvitenskapelige universitet
Doctoral dissertation
2024
-
Stadtmann, Florian;
Rasheed, Adil.
(2024)
Diagnostic Digital Twin for Anomaly Detection in Floating Offshore Wind Energy.
Academic chapter/article/Conference paper
-
Stadtmann, Florian;
Rasheed, Adil.
(2024)
Federated Learning and Unlearning as Enablers of Wind Turbine Digital Twins.
Journal of Physics: Conference Series (JPCS)
Academic article
-
Stadtmann, Florian;
Furevik, Erik Rugaard;
Rasheed, Adil;
Kvamsdal, Trond.
(2024)
Physics-guided federated learning as an enabler for digital twins.
Expert Systems With Applications
Academic article
-
Jordheim, Henrik;
Stadtmann, Florian;
Westad, Frank;
Rasheed, Adil.
(2024)
Digital Twin Ready Encapsulated Thermal Lab: A Modular System for Remote Thermal Imaging and Condition Monitoring.
SSRN Electronic Journal
Academic article
-
Menges, Daniel;
Stadtmann, Florian;
Jordheim, Henrik;
Rasheed, Adil.
(2024)
Predictive Digital Twin for Condition Monitoring Using Thermal Imaging.
arXiv
Article in business/trade/industry journal
-
Rasheed, Adil;
Stadtmann, Florian;
Fonn, Eivind;
Tabib, Mandar Vasudeo;
Tsiolakis, Vasileios;
Panjwani, Balram.
(2024)
Digital Twin for Wind Energy: Latest Updates From the NorthWind Project.
Academic chapter/article/Conference paper
2023
-
Stadtmann, Florian;
Mahalingam, Hary Pirajan;
Rasheed, Adil.
(2023)
Data Integration Framework for Virtual Reality Enabled Digital Twins.
IEEE 9th World Forum on Internet of Things (WF-IoT)
IEEE 9th World Forum on Internet of Things (WF-IoT)
Academic anthology/Conference proceedings
-
Stadtmann, Florian;
Rasheed, Adil;
Kvamsdal, Trond;
Johannessen, Kjetil Andre;
San, Omer;
Kölle, Konstanze.
(2023)
Digital Twins in Wind Energy: Emerging Technologies and Industry-Informed Future Directions.
IEEE Access
Academic article
-
Wold, Jacob Wulff;
Stadtmann, Florian;
Rasheed, Adil;
Tabib, Mandar Vasudeo;
San, Omer;
Horn, Jan-Tore Haugan.
(2023)
Enhancing wind field resolution in complex terrain through a knowledge-driven machine learning approach.
Engineering Applications of Artificial Intelligence
Academic article
-
Stadtmann, Florian;
Rasheed, Adil;
Rasmussen, Tore.
(2023)
Standalone, Descriptive, and Predictive Digital Twin of an Onshore Wind Farm in Complex Terrain.
Journal of Physics: Conference Series (JPCS)
Academic article
-
Stadtmann, Florian;
Wassertheurer, Henrik Andreas Gusdal;
Rasheed, Adil.
(2023)
Demonstration of a Standalone, Descriptive, and Predictive Digital Twin of a Floating Offshore Wind Turbine.
Academic chapter/article/Conference paper
Journal publications
-
Stadtmann, Florian;
Rasheed, Adil.
(2024)
Federated Learning and Unlearning as Enablers of Wind Turbine Digital Twins.
Journal of Physics: Conference Series (JPCS)
Academic article
-
Stadtmann, Florian;
Furevik, Erik Rugaard;
Rasheed, Adil;
Kvamsdal, Trond.
(2024)
Physics-guided federated learning as an enabler for digital twins.
Expert Systems With Applications
Academic article
-
Jordheim, Henrik;
Stadtmann, Florian;
Westad, Frank;
Rasheed, Adil.
(2024)
Digital Twin Ready Encapsulated Thermal Lab: A Modular System for Remote Thermal Imaging and Condition Monitoring.
SSRN Electronic Journal
Academic article
-
Menges, Daniel;
Stadtmann, Florian;
Jordheim, Henrik;
Rasheed, Adil.
(2024)
Predictive Digital Twin for Condition Monitoring Using Thermal Imaging.
arXiv
Article in business/trade/industry journal
-
Stadtmann, Florian;
Rasheed, Adil;
Kvamsdal, Trond;
Johannessen, Kjetil Andre;
San, Omer;
Kölle, Konstanze.
(2023)
Digital Twins in Wind Energy: Emerging Technologies and Industry-Informed Future Directions.
IEEE Access
Academic article
-
Wold, Jacob Wulff;
Stadtmann, Florian;
Rasheed, Adil;
Tabib, Mandar Vasudeo;
San, Omer;
Horn, Jan-Tore Haugan.
(2023)
Enhancing wind field resolution in complex terrain through a knowledge-driven machine learning approach.
Engineering Applications of Artificial Intelligence
Academic article
-
Stadtmann, Florian;
Rasheed, Adil;
Rasmussen, Tore.
(2023)
Standalone, Descriptive, and Predictive Digital Twin of an Onshore Wind Farm in Complex Terrain.
Journal of Physics: Conference Series (JPCS)
Academic article
Books
-
Stadtmann, Florian;
Mahalingam, Hary Pirajan;
Rasheed, Adil.
(2023)
Data Integration Framework for Virtual Reality Enabled Digital Twins.
IEEE 9th World Forum on Internet of Things (WF-IoT)
IEEE 9th World Forum on Internet of Things (WF-IoT)
Academic anthology/Conference proceedings
Part of book/report
-
Stadtmann, Florian;
Rasheed, Adil.
(2024)
Diagnostic Digital Twin for Anomaly Detection in Floating Offshore Wind Energy.
Academic chapter/article/Conference paper
-
Rasheed, Adil;
Stadtmann, Florian;
Fonn, Eivind;
Tabib, Mandar Vasudeo;
Tsiolakis, Vasileios;
Panjwani, Balram.
(2024)
Digital Twin for Wind Energy: Latest Updates From the NorthWind Project.
Academic chapter/article/Conference paper
-
Stadtmann, Florian;
Wassertheurer, Henrik Andreas Gusdal;
Rasheed, Adil.
(2023)
Demonstration of a Standalone, Descriptive, and Predictive Digital Twin of a Floating Offshore Wind Turbine.
Academic chapter/article/Conference paper
Report
-
Stadtmann, Florian;
Rasheed, Adil;
Kvamdsal, Trond.
(2025)
Enabling Technologies for Digital Twins in Wind Energy.
NTNU Norges teknisk-naturvitenskapelige universitet
NTNU Norges teknisk-naturvitenskapelige universitet
Doctoral dissertation
Outreach
2023
-
Academic lectureStadtmann, Florian; Mahalingam, Hary Pirajan; Rasheed, Adil. (2023) Data Integration Framework for Virtual Reality Enabled Digital Twins. IEEE 9th World Forum on Internet of Things , Aveiro, Portugal 2023-10-12 - 2023-10-27
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PosterStadtmann, Florian; Rasheed, Adil. (2023) Digital Twins - Framework, Industry Perspective, and Prototypes. EERA DeepWind 2023 2023-01-18 - 2023-01-20
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LectureStadtmann, Florian. (2023) Digital Twin for Wind Energy. Computational Wind Seminar 2023 , Trondheim 2023-05-11 - 2023-05-11
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LectureStadtmann, Florian. (2023) Industrially applicable digital twins. CSAI 2023 3rd International Conference on Computational Science and AI in Industry , Trondheim 2023-08-28 - 2023-08-30