FLOATBench is a tabular benchmark dataset with 582,120 fatigue labels from 19,404 OpenFAST simulations of three 22 MW FOWT towers, featuring alpha-shape regime partitioning and three evaluation protocols for surrogate models.
Fatigue load modeling of floating wind turbines based on vine copula theory and machine learning.Journal of Marine Science and Engineering, 12(8), 2024
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FLOATBench: A Dataset and Benchmark for Floating Offshore Wind Turbine Tower Fatigue
FLOATBench is a tabular benchmark dataset with 582,120 fatigue labels from 19,404 OpenFAST simulations of three 22 MW FOWT towers, featuring alpha-shape regime partitioning and three evaluation protocols for surrogate models.