Still wrong use of pairings in cryptography
Uzunkol, O. ., & Kiraz, M. S. (2018). Still wrong use of pairings in cryptography. Applied Mathematics and Computation, 333, 467–479. http://doi.org/10.1016/j.amc.2018.03.062 (Original work published 2024)
Publikationen
2018
IEA wind task 32: best practices for the certification of lidar-assisted control applications
Schlipf, D. ., Hille, N. ., Raach, S. ., Scholbrock, A. ., & Simley, E. . (2018). IEA wind task 32: best practices for the certification of lidar-assisted control applications. In Journal of Physics: Conference Series (Bd. 1102, S. 012010). Hamburg, Germany. http://doi.org/10.1088/1742-6596/1102/1/012010 (Original work published 2024)Exportformate
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Systems engineering for lidar-assisted control: a sequential approach
Schlipf, D. ., Fürst, H. ., Raach, S. ., & Haizmann, F. . (2018). Systems engineering for lidar-assisted control: a sequential approach. In Journal of Physics: Conference Series (Bd. 1102, S. 012014). Hamburg, Germany. http://doi.org/10.1088/1742-6596/1102/1/012014 (Original work published 2024)Exportformate
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The Open Energy Modelling Framework (oemof) - A new approach to facilitate open science in energy system modelling
Hilpert, S. ., Kaldemeyer, C. ., Krien, U. ., Günther, S. ., Wingenbach, C. ., & Plessmann, G. . (2018). The Open Energy Modelling Framework (oemof) - A new approach to facilitate open science in energy system modelling. Energy Strategy Reviews, 22, 16–25. http://doi.org/10.1016/j.esr.2018.07.001 (Original work published 2024)Exportformate
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Analysis of control-oriented wake modeling tools using lidar field results
Annoni, J. ., Fleming, P. ., Scholbrock, A. ., Roadman, J. ., Dana, S. ., Adcock, C. ., … Schlipf, D. . (2018). Analysis of control-oriented wake modeling tools using lidar field results. Wind Energy Science, 3, 819–831. http://doi.org/10.5194/wes-3-819-2018 (Original work published 2024)Exportformate
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Investigation on the potential of individual blade control for lifetime extension
Pettas, V. ., Salari, M. ., Schlipf, D. ., & Cheng, P. W. (2018). Investigation on the potential of individual blade control for lifetime extension. In Journal of Physics: Conference Series (Bd. 1037, S. 032006). Milano, Italy. http://doi.org/10.1088/1742-6596/1037/3/032006 (Original work published 2024)Exportformate
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Lidar-assisted extreme load reduction by multi-variable protective derating
Haizmann, F. ., Schlipf, D. ., & Cheng, P. W. (2018). Lidar-assisted extreme load reduction by multi-variable protective derating. In Journal of Physics: Conference Series (Bd. 1037, S. 032025). Milano, Italy. http://doi.org/10.1088/1742-6596/1037/3/032025 (Original work published 2024)Exportformate
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IEA wind task 32: wind lidar identifying and mitigating barriers to the adoption of wind lidar
Clifton, A. ., Clive, P. ., Gottschall, J. ., Schlipf, D. ., Simley, E. ., Simmons, L. ., … Würth, I. . (2018). IEA wind task 32: wind lidar identifying and mitigating barriers to the adoption of wind lidar. Remote Sensing, 10, 406. http://doi.org/10.3390/rs10030406 (Original work published 2024)Exportformate
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Control design for disturbance rejection in wind turbines
Khaniki, M. S., Schlipf, D. ., Pettas, V. ., & Cheng, P. W. (2018). Control design for disturbance rejection in wind turbines. In American Control Conference. Milwaukee, WI, USA. http://doi.org/10.23919/acc.2018.8431637 (Original work published 2024)Exportformate
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Optimizing lidars for wind turbine control applications results from the IEA wind task 32 workshop
Simley, E. ., Fürst, H. ., Haizmann, F. ., & Schlipf, D. . (2018). Optimizing lidars for wind turbine control applications results from the IEA wind task 32 workshop. Remote Sensing, 10, 863. http://doi.org/10.3390/rs10060863 (Original work published 2024)Exportformate
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