| Wind plant power optimization through yaw control using a parametric model for wake effects—a CFD simulation study PMO Gebraad, FW Teeuwisse, JW Van Wingerden, PA Fleming, ... Wind Energy 19 (1), 95-114, 2016 | 703 | 2016 |
| Wind plant power optimization through yaw control using a parametric model for wake effects—a CFD simulation study LYP PMO Gebraad, FW Teeuwisse, JW van Wingerden, PA Fleming, SD Ruben, JR Marden Wind Energy, 2014 | 703* | 2014 |
| Evaluating techniques for redirecting turbine wakes using SOWFA PA Fleming, PMO Gebraad, S Lee, JW van Wingerden, K Johnson, ... Renewable Energy 70, 211-218, 2014 | 474 | 2014 |
| Simulation comparison of wake mitigation control strategies for a two‐turbine case P Fleming, PMO Gebraad, S Lee, JW van Wingerden, K Johnson, ... Wind Energy 18 (12), 2135-2143, 2015 | 373 | 2015 |
| Long-term research challenges in wind energy–a research agenda by the European Academy of Wind Energy GAM Van Kuik, J Peinke, R Nijssen, D Lekou, J Mann, JN Sørensen, ... Wind energy science 1 (1), 1-39, 2016 | 316 | 2016 |
| Subspace identification of bilinear and LPV systems for open-and closed-loop data JW Van Wingerden, M Verhaegen Automatica 45 (2), 372-381, 2009 | 312 | 2009 |
| Feedback–feedforward individual pitch control for wind turbine load reduction K Selvam, S Kanev, JW van Wingerden, T van Engelen, M Verhaegen International Journal of Robust and Nonlinear Control: IFAC‐Affiliated …, 2009 | 292 | 2009 |
| A tutorial on control-oriented modeling and control of wind farms S Boersma, BM Doekemeijer, PMO Gebraad, PA Fleming, J Annoni, ... 2017 American control conference (ACC), 1-18, 2017 | 244 | 2017 |
| Analysis of axial‐induction‐based wind plant control using an engineering and a high‐order wind plant model J Annoni, PMO Gebraad, AK Scholbrock, PA Fleming, JW Wingerden Wind Energy 19 (6), 1135-1150, 2016 | 221 | 2016 |
| Subspace identification of MIMO LPV systems using a periodic scheduling sequence F Felici, JW Van Wingerden, M Verhaegen Automatica 43 (10), 1684-1697, 2007 | 216 | 2007 |
| Closed-loop subspace identification methods: an overview G van der Veen, JW van Wingerden, M Bergamasco, M Lovera, ... IET Control Theory & Applications 7 (10), 1339-1358, 2013 | 181 | 2013 |
| Wind farm flow control: prospects and challenges J Meyers, C Bottasso, K Dykes, P Fleming, P Gebraad, G Giebel, ... Wind Energy Science Discussions 2022, 1-56, 2022 | 178 | 2022 |
| Maximum power‐point tracking control for wind farms PMO Gebraad, JW van Wingerden Wind Energy 18 (3), 429-447, 2015 | 174 | 2015 |
| On the proof of concept of a ‘smart’wind turbine rotor blade for load alleviation JW Van Wingerden, AW Hulskamp, T Barlas, B Marrant, GAM Van Kuik, ... Wind Energy: An International Journal for Progress and Applications in Wind …, 2008 | 171 | 2008 |
| A control-oriented dynamic wind farm model: WFSim S Boersma, B Doekemeijer, M Vali, J Meyers, JW van Wingerden Wind Energy Science 3 (1), 75-95, 2018 | 140 | 2018 |
| The helix approach: Using dynamic individual pitch control to enhance wake mixing in wind farms JA Frederik, BM Doekemeijer, SP Mulders, JW van Wingerden Wind Energy 23 (8), 1739-1751, 2020 | 122 | 2020 |
| A Data-Driven Model for Wind Plant Power Optimization by Yaw Control PMO Gebraad, FW Teeuwisse, JW van Wingerden, PA Fleming, ... American Control Conference, 2014 | 121 | 2014 |
| Wind farm multi-objective wake redirection for optimizing power production and loads MT van Dijk, JW van Wingerden, T Ashuri, Y Li Energy 121, 561-569, 2017 | 114 | 2017 |
| Closed-loop model-based wind farm control using FLORIS under time-varying inflow conditions BM Doekemeijer, D van der Hoek, JW van Wingerden Renewable Energy 156, 719-730, 2020 | 110 | 2020 |
| The SOWFA Super-Controller: A High-Fidelity Tool for Evaluating Wind Plant Control Approaches P Fleming, PMO Gebraad, JW van Wingerden, S Lee, M Churchfield, ... EWEA Annual conference 2013, 2013 | 109 | 2013 |
Michel VerhaegenProfessor Systems and Control, Delft University of TechnologyVerified email at tudelft.nl
