Active learning with functional inputs: application to wind turbine reliability design
Many applications at IFPEN rely on computationally expensive simulators which take scalar variables as inputs, but also functional variables representing, for example, the geometry of mechanical pieces, or spatio-temporal environmental conditions (such as wind).