The project has developed machine learning metamodels for the rapid prediction of wind turbine power degradation and energy loss due to leading edge erosion. The metamodels are based on high-fidelidy computational fluid dynamics and consider a fairly wide range of erosion damage. The models refer to the NACA64618 airfoil used on the outermost part of the NREL 5 MW turbine and can be used to support wind turbine blade predictive maintenance. The metamodels have been made opensource and they are freely available on GitHub at https://github.com/LANCASTER-CFD/Leading-Edge-Erosion. These metamodels are meant to support blade predictive maintenance with respect to leading edge maintenance costs.