Stefan Kern

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Petros KoumoutsakosHarvard UniversityVerified email at seas.harvard.edu
Nikolaus HansenInria & Ecole Polytechnique & Institut Polytechnique de Paris, FranceVerified email at Inria.fr
Philippe ChatelainInstitute of mechanics, materials and civil engineering, Université catholique de LouvainVerified email at uclouvain.be
Grégoire Winckelmansprofesseur, Université catholique de LouvainVerified email at uclouvain.be
Sibylle Sager-MüllerLucerne University of Applied Sciences and Arts, SwitzerlandVerified email at hslu.ch
Nobuhide KasagiUniversity of TokyoVerified email at thtlab.t.u-tokyo.ac.jp
Koji FukagataKeio University - Department of Mechanical EngineeringVerified email at mech.keio.ac.jp
Carlo Luigi BottassoProfessor of Wind Energy, Wind Energy Institute Director, Technical University of MunichVerified email at tum.de
Stoyan KanevSenior Scientist Specialist, TNOVerified email at upcmail.nl
Jan-Willem van WingerdenDelft University of Technology, Delft Center for Systems and ControlVerified email at tudelft.nl
Filippo CampagnoloTechnische Universitaet MuenchenVerified email at tum.de
Johannes SchreiberTechnische Universität MünchenVerified email at tum.de
Bart DoekemeijerShellVerified email at shell.com
Samuel DavoustCo-founder and Science lead, TipspeedVerified email at ge.com
Laurent BricteuxProfessor University of MonsVerified email at umons.ac.be
Rupert StoreyGE Renewable EnergyVerified email at ge.com
Mattia GazzolaUniversity of Illinois Urbana-ChampaignVerified email at illinois.edu
Matthew ChurchfieldNational Renewable Energy LaboratoryVerified email at nrel.gov
Eliot QuonResearcher, National Renewable Energy LaboratoryVerified email at nrel.gov
Scott EvansPrincipal Scientist Machine Learning, GE ResearchVerified email at ge.com

Stefan Kern

Stadtwerke München

Verified email at swm.de

Wind Energy Fluid Dynamics Stochastic Optimisation Learning from Data


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Evaluating the CMA evolution strategy on multimodal test functions N Hansen, S Kern International conference on parallel problem solving from nature, 282-291, 2004	1107	2004
Simulations of optimized anguilliform swimming S Kern, P Koumoutsakos Journal of Experimental Biology 209 (24), 4841-4857, 2006	460	2006
Learning probability distributions in continuous evolutionary algorithms–a comparative review S Kern, SD Müller, N Hansen, D Büche, J Ocenasek, P Koumoutsakos Natural Computing 3, 77-112, 2004	335	2004
Large eddy simulation of wind turbine wakes P Chatelain, S Backaert, G Winckelmans, S Kern Flow, turbulence and combustion 91, 587-605, 2013	99	2013
Local meta-models for optimization using evolution strategies S Kern, N Hansen, P Koumoutsakos International Conference on Parallel Problem Solving from Nature, 939-948, 2006	94	2006
Field experiment for open-loop yaw-based wake steering at a commercial onshore wind farm in Italy BM Doekemeijer, S Kern, S Maturu, S Kanev, B Salbert, J Schreiber, ... Wind Energy Science 6 (1), 159-176, 2021	93	2021
Evolutionary optimization of an anisotropic compliant surface for turbulent friction drag reduction K Fukagata, S Kern, P Chatelain, P Koumoutsakos, N Kasagi Journal of Turbulence, N35, 2008	89	2008
A mixed Bayesian optimization algorithm with variance adaptation J Ocenasek, S Kern, N Hansen, P Koumoutsakos Parallel Problem Solving from Nature-PPSN VIII: 8th International Conference …, 2004	76	2004
Predictions of external heat transfer for turbine vanes and blades with secondary flowfields K Hermanson, S Kern, G Picker, S Parneix J. Turbomach. 125 (1), 107-113, 2003	75	2003
System and method for assessing farm-level performance of a wind farm M Wilson, S Kern, S Chandrashekar, A Ambekar US Patent 10,260,481, 2019	17	2019
System and method for determining wind farm wake loss M Wilson, S Kern, AK Ambekar US Patent 10,371,124, 2019	16	2019
Farm blockage model validation using pre and post construction LiDAR measurements C Jacquet, D Apgar, V Chauchan, R Storey, S Kern, S Davoust Journal of Physics: Conference Series 2265 (2), 022009, 2022	11	2022
System and method for validating optimization of a wind farm M Wilson, S Kern, S Chandrashekar, D Lee, S Delport, A Ambekar, ... US Patent 10,385,829, 2019	11	2019
Vortex particle-mesh methods with immersed lifting lines applied to the Large Eddy Simulation of wind turbine wakes P Chatelain, L Bricteux, S Backaert, G Winckelmans, S Kern, ... Wake Conference, Gotland, 2011	11	2011
System and method for controlling the operation of wind turbines A Herrig, S Lee, S Kern, TP Maeder, BP Petitjean, R Drobietz, SK Pal, ... US Patent 9,995,277, 2018	9	2018
Optimization of aircraft wake alleviation schemes through an evolution strategy P Chatelain, M Gazzola, S Kern, P Koumoutsakos High Performance Computing for Computational Science–VECPAR 2010: 9th …, 2011	9	2011
System and method for mitigating wake losses in a windfarm C Kalra, S Kern, HJ Kooijman US Patent App. 13/655,515, 2014	8	2014
Overview of preparation for the American WAKE ExperimeNt (AWAKEN) P Moriarty, N Bodini, S Letizia, A Abraham, T Ashley, KB Bärfuss, ... Journal of Renewable and Sustainable Energy 16 (5), 2024	6	2024
Optimization of anguilliform swimming S Kern, P Koumoutsakos, K Eschler Physics of Fluids 19 (9), 91102-91102, 2007	6	2007
Optimization of an anisotropic compliant surface for turbulent friction drag reduction K Fukagata, S Kern, P Chatelain, P Koumoutsakos, N Kasagi Fifth International Symposium on Turbulence and Shear Flow Phenomena, 2007	6	2007

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