Comparison of neural network types and architectures for generating a surrogate aerodynamic wind turbine blade model

Lalonde, ER; Vischschraper, B; Bitsuamlak, G; Dai, KS

Bitsuamlak, G (corresponding author), Univ Western Ontario, Dept Civil & Environm Engn, London, ON, Canada.; Dai, KS (corresponding author), Sichuan Univ, Dept Civil Engn, Chengdu, Peoples R China.; Dai, KS (corresponding author), Sichuan Univ, MOE Key Lab Deep Underground Sci & Engn, Chengdu, Peoples R China.

JOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS, 2021; 216 ():

Abstract

Current numerical aerodynamic wind turbine blade models - models that calculate the aerodynamic loads on a blade based on the incoming wind - are gene......

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