Open AccessWind turbine quantification and reduction of uncertainties based on a data-driven data assimilation approach
Author(s) -
Adrien Hirvoas,
Clémentine Prieur,
Élise Arnaud,
Fabien Caleyron,
Miguel Munoz Zuniga
Publication year - 2022
Publication title -
journal of renewable and sustainable energy
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.475
H-Index - 43
ISSN - 1941-7012
DOI - 10.1063/5.0086255
Subject(s) - data assimilation , kalman filter , uncertainty quantification , inflow , computer science , parametric statistics , ensemble kalman filter , turbine , wind speed , dynamic data , control theory (sociology) , synthetic data , algorithm , extended kalman filter , engineering , mathematics , machine learning , meteorology , artificial intelligence , statistics , mechanical engineering , physics , control (management) , programming language
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