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)
Publikationen
2021
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)Exportformate
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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)Exportformate
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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)Exportformate
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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)Exportformate
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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)Exportformate
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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)Exportformate
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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)Exportformate
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Parameterization of wind evolution using lidar
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 2025)Exportformate
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Realization of wind field reconstruction for real- time monitoring and LIDAR-assisted control
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)Exportformate
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