2026-10-14T20:28:04Z https://data.mendeley.com/oai

oai:data.mendeley.com/8g63jffd3r.1 2026-09-22T16:53:01Z

Tamaddon, Amir Evidence matrix for machine-learning surrogate modelling in vertical-axis wind turbine aerodynamics Mendeley Data This dataset provides the study-level evidence matrix underlying the critical review “Machine-Learning Surrogate Modelling for Vertical-Axis Wind Turbine Aerodynamics: A Critical Review of Computational Fidelity, Optimisation, Uncertainty and Validation.” It contains metadata for 102 retained records classified into four evidence categories. Extended methodological appraisal is provided for the 42 direct wind-driven VAWT surrogate studies, including aerodynamic-data credibility, surrogate-validation rigour and independent optimisation verification. Mechanical Engineering Fluid Mechanics Renewable Energy Mohin, Ma sarker, Md Mostafa kamal mogul, Yakub iqbal quadros, Jaimon dennis Dataset doi:10.17632/8g63jffd3r.1 oai:data.mendeley.com/8g63jffd3r.1 Creative Commons Attribution 4.0 International http://creativecommons.org/licenses/by/4.0 https://data.mendeley.com/datasets/8g63jffd3r 2026-09-22T16:53:01Z