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David Hägele University of Stuttgart

Uncertainty-Aware Seasonal-Trend Decomposition Based on Loess - Supplemental Material, , , and . Dataset, (2024)Related to: Tim Krake, Daniel Klötzl, David Hägele, and Daniel Weiskopf, Üncertainty-Aware Seasonal-Trend Decomposition Based on Loess", in IEEE Transactions on Visualization and Computer Graphics, 2024. doi: 10.1109/TVCG.2024.3364388.
 

Other publications of authors with the same name

Model of the Correlation between Lidar Systems and Wind Turbines for Lidar-Assisted Control, , and . Journal of Atmospheric and Oceanic Technology, 30 (10): 2233--2240 (2013)Optimization of a feed-forward controller using a CW-lidar system on the CART3., , , , , , , , , and . ACC, page 3715-3720. IEEE, (2015)Analysis of control-oriented wake modeling tools using lidar field results, , , , , , , , , and . Wind Energy Science, 3 (2): 819-831 (2018)Investigation on the potential of individual blade control for lifetime extension, , , and . Science Of Making Torque From Wind (TORQUE 2018), 1037, 3, page 032006. Bristol, IOP Publishing, (2018)Detection of Wind Evolution and Lidar Trajectory Optimization for Lidar-Assisted Wind Turbine Control, , , , and . Meteorologische Zeitschrift, 24 (6): 565-579 (2015)IEAWind Task 32: Wind Lidar Identifying and Mitigating Barriers to the Adoption of Wind Lidar, , , , , , , , , and . Remote Sensing, 10 (3): 406 (2018)Control Design For Disturbance Rejection in Wind Turbines., , , and . ACC, page 1515-1519. IEEE, (2018)Nonlinear model predictive controller design for extreme load mitigation in transition operation region in wind turbines., , and . CCA, page 1167-1172. IEEE, (2015)The space-time structure of turbulence for lidar-assisted wind turbine control, , , , and . Renewable energy, 195 (August): 293-310 (2022)Loop shaping based robust control for floating offshore wind turbines, , , and . The Science of Making Torque from Wind (TORQUE 2020), 1618, 2, page 022066. Institute of Physics Publishing, (2020)