Publikationen

2021

• Lidar Wind Preview Quality Estimation for Wind Turbine Control

  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 2025)

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    • Schlipf, David

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  • 2021
  • Conference Paper
  • • Feng Guo
    • David Schlipf

• The impact of wind evolution and filter design on lidar-assisted wind turbine control

  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)

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    • Schlipf, David

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  • 2021
  • Miscellaneous
  • • Feng Guo
    • David Schlipf
    • Yiyin Chen

• Assessment of a State-Feedback Controller and Observer in a Floating Wind Turbine Scaled Experiment

  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)

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    • Schlipf, David

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  • 2021
  • Miscellaneous
  • • Frank Lemmer
    • Katja Lehmann
    • Steffen Raach
    • Mees Al
    • Danai Skandali
    • David Schlipf
    • Wei Yu
    • Po Cheng

• Smart Lidar Systems for Floating Offshore Wind Turbines

  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)

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    • Schlipf, David

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  • 2021
  • Miscellaneous
  • • Florian Thomas
    • David Schlipf
    • Steffen Raach

• A Low Computational Framework for Testing Wind Farm Controllers

  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)

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    • Schlipf, David

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  • 2021
  • Miscellaneous
  • • Felipe Novais
    • David Schlipf
    • Steffen Raach

• Comparison of uncertainties in measurements from cup anemometers and lidar systems

  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)

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    • Schlipf, David

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  • 2021
  • Miscellaneous
  • • David Schlipf
    • Feng Guo
    • Yiyin Chen

• Bayesian neural network model for estimating fatigue loads on wind turbines

  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)

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  • 2021
  • Miscellaneous
  • • John Omole
    • David Schlipf
    • Anish Venu
    • Mike Ludde

• Wind lidar technology development and transfer

  Clifton, A. ., & Schlipf, D. . (2021). Wind lidar technology development and transfer. http://doi.org/10.5281/zenodo.4817725 (Original work published 2025)

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    • Schlipf, David

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  • 2021
  • Miscellaneous
  • • Andrew Clifton
    • David Schlipf

• The Smart Lidar Concept - New Opportunities for the Lidar Community

  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)

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    • Schlipf, David

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  • 2021
  • Miscellaneous
  • • David Schlipf
    • Feng Guo
    • Steffen Raach
    • Hailong Zhu

• Long-term thermal imbalance in large borehole heat exchangers array - A numerical study based on the Leicester project

  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 2025)

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    • Witte, Francesco

  • Fachbereich

    • Fachbereich 2: Energy and Life Science

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  • 2021
  • Journal Article
  • • Shuang Chen
    • Wanlong Cai
    • Francesco Witte
    • Xuerui Wang
    • Fenghao Wang
    • Olaf Kolditz
    • Haibing Shao