Vortrag: Die Entdeckung des Higgs-Teilchens
Vest, A. (2024). Vortrag: Die Entdeckung des Higgs-Teilchens.
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2024
Problem Solving Strategies in Physical and Mental Rotation
Wetzel, S., & Bertel, S. (2024). Problem Solving Strategies in Physical and Mental Rotation. Spatial Cognition Conference 2024. Dublin.Exportformate
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Impact of motions on floating wind turbine power production
Garcia-Sagrado, A., Schlipf, D., Brovia, S. P., Burstein, J., & Yoshinaga, T. (2024). Impact of motions on floating wind turbine power production. In Journal of Physics: Conference Series. http://doi.org/10.1088/1742-6596/2767/6/062034Exportformate
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Green Hydrogen for the Energy Transition in Germany - Potentials, Limits, and Priorities
Doucet, F., Blohm, M., von Düsterlho, D. J.-E., & Bannert, J. (2024). Green Hydrogen for the Energy Transition in Germany - Potentials, Limits, and Priorities. In 20th International Conference on the European Energy Market (EEM). http://doi.org/https://doi.org/10.1109/EEM60825.2024.10609015Exportformate
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Investigation of asymmetric SVM switching patterns with minor flux loops in inverter fed induction motors
Königs, M., & Löhlein, B. (2024). Investigation of asymmetric SVM switching patterns with minor flux loops in inverter fed induction motors. Research gate, open access. http://doi.org/http://dx.doi.org/10.13140/RG.2.2.21923.26407Exportformate
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Analysis of Turbine Yaw Misalignment Estimated by LIDAR Assuming Homogeneous Flow
Zhang, Z., Guo, F., Schlipf, D., Schito, P., & Zasso, A. (2024). Analysis of Turbine Yaw Misalignment Estimated by LIDAR Assuming Homogeneous Flow. Wind Energy Science Discussions, 2024, 1–21. http://doi.org/10.5194/wes-2023-162Exportformate
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2023
Improving the Quality of Wind Field Reconstruction Techniques for Lidar-assisted Control of Wind Turbines
Afanasieva, N., & Schlipf, D. (2023). Improving the Quality of Wind Field Reconstruction Techniques for Lidar-assisted Control of Wind Turbines. In 19thEAWE PhD Seminar on Wind Energy. http://doi.org/10.5281/zenodo.8335186 (Original work published 2026)Exportformate
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The performance of two control strategies for floating wind turbines: lidar-assisted feedforward and multi-variable feedback
Guo, F., Schlipf, D., Lemmer, F., Raach, S., Özinan, U., Adam, R., & Choisnet, T. (2023). The performance of two control strategies for floating wind turbines: lidar-assisted feedforward and multi-variable feedback. In Journal of Physics: Conference Series (Bd. 2626, S. 012005). http://doi.org/10.1088/1742-6596/2626/1/012005 (Original work published 2026)Exportformate
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A Tutorial on Lidar-Assisted Control for Floating Offshore Wind Turbines
Schlipf, D., Guo, F., Raach, S., & Lemmer, F. (2023). A Tutorial on Lidar-Assisted Control for Floating Offshore Wind Turbines. In American Control Conference. San Diego, CA, USA. http://doi.org/10.23919/ACC55779.2023.10156419 (Original work published 2026)Exportformate
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A data-driven approach to the design and implementation of retrofit lidar assisted control systems
Pitter, M., Slinger, C., Guo, F., Schlipf, D., Raach, S., & White, S. (2023). A data-driven approach to the design and implementation of retrofit lidar assisted control systems. http://doi.org/10.5281/zenodo.8037351 (Original work published 2026)Exportformate
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