| Analysis of control-oriented wake modeling tools using lidar field results J Annoni, P Fleming, A Scholbrock, J Roadman, S Dana, C Adcock, ... Wind Energy Science 3 (2), 819-831, 2018 | 127 | 2018 |
| Nonlinear model predictive control of floating wind turbines with individual pitch control S Raach, D Schlipf, F Sandner, D Matha, PW Cheng 2014 American control conference, 4434-4439, 2014 | 105 | 2014 |
| Full-scale field test of wake steering P Fleming, J Annoni, A Scholbrock, E Quon, S Dana, S Schreck, S Raach, ... Journal of Physics: Conference Series 854 (1), 012013, 2017 | 65 | 2017 |
| Lidar-based wake tracking for closed-loop wind farm control S Raach, D Schlipf, PW Cheng Wind Energy Science 2 (1), 257-267, 2017 | 54 | 2017 |
| Expert elicitation on wind farm control JW van Wingerden, PA Fleming, T Göçmen, I Eguinoa, BM Doekemeijer, ... Journal of Physics: Conference Series 1618 (2), 022025, 2020 | 50 | 2020 |
| Comparison of linear and nonlinear model predictive control of wind turbines using LIDAR D Schlipf, P Grau, S Raach, R Duraiski, J Trierweiler, PW Cheng 2014 American Control Conference, 3742-3747, 2014 | 49 | 2014 |
| Nonlinear model predictive control of floating wind turbines D Schlipf, F Sandner, S Raach, D Matha, PW Cheng ISOPE International Ocean and Polar Engineering Conference, ISOPE-I-13-191, 2013 | 49 | 2013 |
| Three dimensional dynamic model based wind field reconstruction from lidar data S Raach, D Schlipf, F Haizmann, PW Cheng Journal of Physics: Conference Series 524 (1), 012005, 2014 | 42 | 2014 |
| Definition of the SWE-TripleSpar floating platform for the DTU 10MW reference wind turbine F Lemmer, F Amann, S Raach, D Schlipf Stuttgart Wind Energy (SWE), 2016 | 29 | 2016 |
| Wake redirecting using feedback control to improve the power output of wind farms S Raach, D Schlipf, F Borisade, PW Cheng 2016 American Control Conference (ACC), 1387-1392, 2016 | 28 | 2016 |
| Parametric wave excitation model for floating wind turbines F Lemmer, S Raach, D Schlipf, PW Cheng Energy Procedia 94, 290-305, 2016 | 24 | 2016 |
| Prospects of linear model predictive control on a 10 MW floating wind turbine F Lemmer, S Raach, D Schlipf, PW Cheng International Conference on Offshore Mechanics and Arctic Engineering 56574 …, 2015 | 23 | 2015 |
| Optimization of a feed-forward controller using a CW-lidar system on the CART3 F Haizmann, D Schlipf, S Raach, A Scholbrock, A Wright, C Slinger, ... 2015 American Control Conference (ACC), 3715-3720, 2015 | 22 | 2015 |
| Systems engineering for lidar-assisted control: a sequential approach D Schlipf, H Fürst, S Raach, F Haizmann Journal of Physics: Conference Series 1102 (1), 012014, 2018 | 18 | 2018 |
| ℋ∞controller design for closed-loop wake redirection S Raach, JW van Wingerden, S Boersma, D Schlipf, PW Cheng 2017 American Control Conference (ACC), 703-708, 2017 | 17 | 2017 |
| Investigation into the shape of a wake of a yawed full-scale turbine P Fleming, J Annoni, LA Martínez-Tossas, S Raach, K Gruchalla, ... Journal of Physics: Conference Series 1037 (3), 032010, 2018 | 15 | 2018 |
| Robust lidar-based closed-loop wake redirection for wind farm control S Raach, S Boersma, JW van Wingerden, D Schlipf, PW Cheng IFAC-PapersOnLine 50 (1), 4498-4503, 2017 | 15 | 2017 |
| Lidar-based estimation of turbulence intensity for controller scheduling D Schlipf, F Guo, S Raach Journal of Physics: Conference Series 1618 (3), 032053, 2020 | 12 | 2020 |
| Iea wind task 32: Best practices for the certification of lidar-assisted control applications D Schlipf, N Hille, S Raach, A Scholbrock, E Simley Journal of Physics: Conference Series 1102 (1), 012010, 2018 | 11 | 2018 |
| Modeling uncertainties of wind field reconstruction using lidar D Schlipf, M Koch, S Raach Journal of Physics: Conference Series 1452 (1), 012088, 2020 | 10 | 2020 |
David SchlipfFlensburg University of Applied Science and Founder of sowentoDirección de correo verificada de hs-flensburg.de
