9 citations as recorded by crossref.

1. Estimation of Hub Center Loads for Individual Pitch Control for Wind Turbines Based on Tower Loads and Machine Learning S. Kiyoki et al. 10.3390/electronics13183648
2. Farm‐wide interface fatigue loads estimation: A data‐driven approach based on accelerometers F. de N Santos et al. 10.1002/we.2888
3. An identification method of floating wind turbine tower responses using deep learning technology in the monitoring system Z. Wang et al. 10.1016/j.oceaneng.2022.112105
4. Results of fatigue measurement campaign on XL monopiles and early predictive models F. Santos et al. 10.1088/1742-6596/2265/3/032092
5. Probabilistic temporal extrapolation of fatigue damage of offshore wind turbine substructures based on strain measurements C. Hübler & R. Rolfes 10.5194/wes-7-1919-2022
6. Long-term fatigue estimation on offshore wind turbines interface loads through loss function physics-guided learning of neural networks F. de N Santos et al. 10.1016/j.renene.2023.01.093
7. Monitoring system framework design for floating wind turbine using the deep learning technology and tower response identification considering sensor optimization Z. Wang et al. 10.1016/j.oceaneng.2024.117316
8. Data-driven farm-wide fatigue estimation on jacket-foundation OWTs for multiple SHM setups F. d N Santos et al. 10.5194/wes-7-299-2022
9. Data-driven surrogate model for wind turbine damage equivalent load R. Haghi & C. Crawford 10.5194/wes-9-2039-2024