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Machine-learning-based virtual load sensors for mooring lines using simulated motion and lidar measurements

, , , and . Wind energy science, 9 (11): 2175–2193 (2024)
DOI: 10.5194/wes-9-2175-2024

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Lidar-based virtual load sensors for mooring lines using artificial neural networks, , and . EERA Deepwind Conference 2023, 2626, page 012036. Institute of Physics, (2023)Near-wake measurements and simulations of a floating wind turbine using a four-beam nacelle-based lidar, , , and . The Science of Making Torque from Wind (TORQUE 2024), 2767, 9, page 092100. Institute of Physics, (2024)Quantification and correction of motion influence for nacelle-based lidar systems on floating wind turbines, , , and . Wind energy science, 8 (6): 925-946 (2023)Machine-learning-based virtual load sensors for mooring lines using simulated motion and lidar measurements, , , and . Wind energy science, 9 (11): 2175–2193 (2024)Data-driven forecasting of FOWT dynamics and load time series using lidar inflow measurements, , and . The Science of Making Torque from Wind (TORQUE 2024), volume 2767 of Journal of Physics. Conference Series, page 032025. Institute of Physics, (2024)Analysis and application of lidar inflow measurements for floating offshore wind turbines. Universität Stuttgart, Stuttgart, Dissertation, (2025)