Clifton, A., & Schlipf, D. (2021). Wind lidar technology development and transfer. http://doi.org/10.5281/zenodo.4817725 (Original work published 2025)
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 2025)
Lemmer, F., Lehmann, K., Raach, S., Al, M., Skandali, D., Schlipf, D., … Cheng, P. W. (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 2025)
Thomas, F., Schlipf, D., & Raach, S. (2021). Smart Lidar Systems for Floating Offshore Wind Turbines. http://doi.org/10.5281/zenodo.5004524 (Original work published 2025)
Novais, F., Schlipf, D., & Raach, S. (2021). A Low Computational Framework for Testing Wind Farm Controllers. http://doi.org/10.5281/zenodo.5008772 (Original work published 2025)
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 2025)
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 2025)
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 2025)
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 2025)
Reuder, J., Cheynet, E., Clifton, A., van Dooren, M. F., Gottschall, J., Jakobsen, J. B., … Zasso, A. (2021). Recommendation on use of wind lidars. http://doi.org/10.5281/zenodo.4672351 (Original work published 2025)