| Digital twins in wind energy: Emerging technologies and industry-informed future directions F Stadtmann, A Rasheed, T Kvamsdal, KA Johannessen, O San, K Kölle, ... IEEE Access 11, 110762-110795, 2023 | 42 | 2023 |
| CosmicNet II: emulating extended cosmologies with efficient and accurate neural networks S Günther, J Lesgourgues, G Samaras, N Schöneberg, F Stadtmann, ... Journal of Cosmology and Astroparticle Physics 2022 (11), 035, 2022 | 30 | 2022 |
| Demonstration of a standalone, descriptive, and predictive digital twin of a floating offshore wind turbine F Stadtmann, HAG Wassertheurer, A Rasheed International Conference on Offshore Mechanics and Arctic Engineering 86908 …, 2023 | 12 | 2023 |
| Standalone, descriptive, and predictive digital twin of an onshore wind farm in complex terrain F Stadtmann, A Rasheed, T Rasmussen Journal of Physics: Conference Series 2626 (1), 012030, 2023 | 8 | 2023 |
| Data integration framework for virtual reality enabled digital twins F Stadtmann, HP Mahalingam, A Rasheed 2023 IEEE 9th World Forum on Internet of Things (WF-IoT), 1-6, 2023 | 5 | 2023 |
| Physics-guided federated learning as an enabler for digital twins F Stadtmann, ER Furevik, A Rasheed, T Kvamsdal Expert Systems with Applications 258, 125169, 2024 | 1 | 2024 |
| Diagnostic digital twin for anomaly detection in floating offshore wind energy F Stadtmann, A Rasheed International Conference on Offshore Mechanics and Arctic Engineering 87851 …, 2024 | 1 | 2024 |
| Machine Learning for enhancing Wind Field Resolution in Complex Terrain JW Wold, F Stadtmann, A Rasheed, M Tabib, O San, JT Horn CoRR, 2023 | 1 | 2023 |
| Predictive Digital Twin for Condition Monitoring Using Thermal Imaging D Menges, F Stadtmann, H Jordheim, A Rasheed arXiv preprint arXiv:2411.05887, 2024 | | 2024 |
| Enhancing wind field resolution in complex terrain through a knowledge-driven machine learning approach JW Wold, F Stadtmann, A Rasheed, M Tabib, O San, JT Horn Engineering Applications of Artificial Intelligence 137, 109167, 2024 | | 2024 |
| Digital Twin for Wind Energy: Latest Updates From the NorthWind Project A Rasheed, F Stadtmann, E Fonn, M Tabib, V Tsiolakis, B Panjwani, ... International Conference on Offshore Mechanics and Arctic Engineering 87783 …, 2024 | | 2024 |
| Federated Learning and Unlearning as Enablers of Wind Turbine Digital Twins F Stadtmann, A Rasheed Journal of Physics: Conference Series 2767 (5), 052031, 2024 | | 2024 |
| Enhancing wind field resolution in complex terrain through a knowledge-driven machine learning approach J Wulff Wold, F Stadtmann, A Rasheed, M Tabib, O San, JT Horn arXiv e-prints, arXiv: 2309.10172, 2023 | | 2023 |
| Digital Twin Ready Encapsulated Thermal Lab: A Modular System for Remote Thermal Imaging and Condition Monitoring H Jordheim, F Stadtmann, F Westad, A Rasheed Available at SSRN 5017833, 0 | | |
