Schlipf, D., Guo, F., & Chen, Y. (2021). Comparison of uncertainties in measurements from cup anemometers and lidar systems. http://doi.org/10.5281/zenodo.4890902 (Original work published may)
Omole, J. A., Schlipf, D., Venu, A., & Ludde, M. (2021). Bayesian neural network model for estimating fatigue loads on wind turbines. http://doi.org/10.5281/zenodo.4923193 (Original work published may)
Guo, F., & Schlipf, D. (2021). Lidar Wind Preview Quality Estimation for Wind Turbine Control. In American Control Conference. New Orleans, LA, USA. http://doi.org/10.23919/ACC50511.2021.9483442 (Original work published may)
Guo, F., Schlipf, D., & Chen, Y. (2021). The impact of wind evolution and filter design on lidar-assisted wind turbine control. http://doi.org/10.5281/zenodo.4890902 (Original work published may)
Lemmer, F., Lehmann, K., Raach, S., Al, M., Skandali, D., Schlipf, D., u. a. (2021). Assessment of a State-Feedback Controller and Observer in a Floating Wind Turbine Scaled Experiment. http://doi.org/10.5281/zenodo.5004916 (Original work published may)
Schlipf, D., Guo, F., Raach, S., & Zhu, H. (2021). The Smart Lidar Concept - New Opportunities for the Lidar Community. http://doi.org/10.5281/zenodo.4627168 (Original work published mar)
Chen, S., Cai, W., Witte, F., Wang, X., Wang, F., Kolditz, O., & Shao, H. (2021). Long-term thermal imbalance in large borehole heat exchangers array - A numerical study based on the Leicester project. Energy And Buildings, 231, 110518. http://doi.org/10.1016/j.enbuild.2020.110518 (Original work published jan)
Chen, Y., Schlipf, D., & Cheng, P. W. (2021). Parameterization of wind evolution using lidar. Wind Energy Science, 6, 61-91. http://doi.org/10.5194/wes-6-61-2021 (Original work published jan)
Schlipf, D., Lemmer, F., & Thomas, F. (2021). Realization of wind field reconstruction for real- time monitoring and LIDAR-assisted control. http://doi.org/10.5281/zenodo.5608684 (Original work published aug)