Learning and collective intelligence for optimized operations in wake flows

Publications

Conference proceedings (5)

Coordinated Learning for Wind Farm Optimization

Author(s): Riehl, James; Moens, Maud; Chatelain, Philippe; Wind Energy Science Conference (WESC2019)
Published in: 9, 2019
Publisher: EAWE

Wake Vortex Detection and Tracking for Aircraft Formation Flight

Author(s): Denis-Gabriel Caprace, Gregoire S. Winckelmans, Philippe Chatelain, Jeff Eldredge
Published in: AIAA Aviation 2019 Forum, 2019, ISBN 978-1-62410-589-0
Publisher: American Institute of Aeronautics and Astronautics
DOI: 10.2514/6.2019-3329

Characterisation and Online Update of a Vorticity-Based Wind Skeleton Wake Model

Author(s): Lejeune, Maxime; Coquelet, Marion; Moens, Maud; Chatelain, Philippe; Wind Energy Science Conference
Published in: 11, 2019
Publisher: EAWE

Data assimilation for the prediction of wake trajectories within wind farms

Author(s): Lejeune, Maxime; Coquelet, Marion; Coudou, Nicolas; Moens, Maud; Chatelain, Philippe; Annual Meeting of the American Physical Society’s Division of Fluid Dynamics (DFD)
Published in: 9, 2019
Publisher: APS

Loads Alleviation on an Airfoil via Reinforcement Learning

Author(s): Hufstedler, Esteban A.; Chatelain, Philippe; AIAA Scitech 2019 Forum
Published in: AIAA Scitech 2019 Forum, 1, 2019, ISBN 9781624105784
Publisher: AIAA
DOI: 10.2514/6.2019-0404

Peer reviewed articles (1)

A numerical study of correlations between wake meandering and loads within a wind farm

Author(s): Maud Moens, Nicolas Coudou, Chatelain Philippe
Published in: Journal of Physics: Conference Series, 1256, 2019, Page(s) 012012, ISSN 1742-6588
Publisher: Institute of Physics
DOI: 10.1088/1742-6596/1256/1/012012