Grid Services and Stress Reduction with a Flywheel in the Rotor of a Wind Turbine
Jauch, C. (2021). Grid Services and Stress Reduction with a Flywheel in the Rotor of a Wind Turbine. Energies, 14. http://doi.org/10.3390/en14092556
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2021
2020
Study of cellular network quality of the eve of 5G technology on a selected example
Falkowski-Gilski, P., & Uhl, T. (2020). Study of cellular network quality of the eve of 5G technology on a selected example. Warszawa: Journal Przeglad Telekomunikacyjny. http://doi.org/10.15199/59.2020.7-8.45 (Original work published 2020)Exportformate
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Loop shaping based robust control for floating offshore wind turbines
Yu, W., Lemmer, F., Schlipf, D., & Cheng, P. W. (2020). Loop shaping based robust control for floating offshore wind turbines. In Journal of Physics: Conference Series (Bd. 1618, S. 022066). http://doi.org/10.1088/1742-6596/1618/2/022066 (Original work published 2026)Exportformate
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IEA Wind Task 32: Collaborative R\&D Roadmap
Clifton, A., Schlipf, D., Vasiljevic, N., Gottschall, J., Clive, P., Wüerth, I., … Nygaard, N. (2020). IEA Wind Task 32: Collaborative R\&D Roadmap. http://doi.org/10.5281/zenodo.4030701 (Original work published 2026)Exportformate
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IEA Wind Task 32 and Task 37: Optimizing Wind Turbines with Lidar-Assisted Control Using Systems Engineering
Simley, E., Bortolotti, P., Scholbrock, A., Schlipf, D., & Dykes, K. (2020). IEA Wind Task 32 and Task 37: Optimizing Wind Turbines with Lidar-Assisted Control Using Systems Engineering. In Journal of Physics: Conference Series (Bd. 1618, S. 042029). http://doi.org/10.1088/1742-6596/1618/4/042029 (Original work published 2026)Exportformate
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Lidar-based Estimation of Turbulence Intensity for Controller Scheduling
Schlipf, D., Guo, F., & Raach, S. (2020). Lidar-based Estimation of Turbulence Intensity for Controller Scheduling. In Journal of Physics: Conference Series (Bd. 1618, S. 032053). http://doi.org/10.1088/1742-6596/1618/3/032053 (Original work published 2026)Exportformate
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Multi-Variable Feedforward Control for Floating Wind Turbines Using Lidar
Schlipf, D., Lemmer, F., & Raach, S. (2020). Multi-Variable Feedforward Control for Floating Wind Turbines Using Lidar. In International Ocean and Polar Engineering Conference. http://doi.org/10.18419/opus-11067 (Original work published 2026)Exportformate
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oemof.solph- A model generator for linear and mixed-integer linear optimisation of energy systems
Krien, U., Schönfeldt, P., Launer, J., Hilpert, S., Kaldemeyer, C., & Pleßmann, G. (2020). oemof.solph- A model generator for linear and mixed-integer linear optimisation of energy systems. Software Impacts, 6, 100028. http://doi.org/10.1016/j.simpa.2020.100028 (Original work published 2026)Exportformate
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TESPy: Thermal Engineering Systems in Python
Witte, F., & Tuschy, I. (2020). TESPy: Thermal Engineering Systems in Python. Journal of Open Source Software, 5, 2178. http://doi.org/10.21105/joss.02178 (Original work published 2026)Exportformate
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Modeling Uncertainties of Wind Field Reconstruction Using Lidar
Schlipf, D., Koch, M., & Raach, S. (2020). Modeling Uncertainties of Wind Field Reconstruction Using Lidar. In Journal of Physics: Conference Series (Bd. 1452, S. 012088). http://doi.org/10.1088/1742-6596/1452/1/012088 (Original work published 2026)Exportformate
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