
Sensitivity analysis and Bayesian calibration of a dynamic wind farm control model: FLORIDyn
Author(s) -
Vinit V. Dighe,
Marcus Becker,
Tuhfe Göçmen,
Benjamin Sanderse,
JanWillem van Wingerden
Publication year - 2022
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2265/2/022062
Subject(s) - sensitivity (control systems) , parametric statistics , turbine , calibration , bayesian probability , polynomial chaos , surrogate model , wind power , computer science , parametric model , uncertainty quantification , uncertainty analysis , control theory (sociology) , probabilistic logic , engineering , mathematics , control (management) , simulation , statistics , machine learning , monte carlo method , artificial intelligence , mechanical engineering , electrical engineering , electronic engineering