Training and validation datasets for training probabilistic machine learning models on NREL's 10-MW reference wind turbine
This repository consists of two databases- CASE-ONSHORE and CASE-OFFSHORE, generated using OpenFAST v2.4 on NREL's 10-MW reference wind turbine for training data-driven probabilistic load surrogate models. The data is to be used for mapping 10-minute average environmental conditions to the corresponding 10-minute load statistics such as load average, fatigue and range at various locations on the tower and blades.
Funding
Novel deSign, producTion and opEration aPproaches for floating WIND turbine farms
European Commission
Find out more...