The main objective of this thesis is the identification of a machine learning model able to reproduce the behavior of a Heating, Ventilation and Air Conditioning (HVAC) system, in collaboration with the company "DENSO Thermal Systems". Precisely, the developed model will must be able to predict volumetric airflows of the outlets, taking as inputs the speed of the blower motor and the outlets percentage apertures. The model will be the plant of a control system (the controller development is outside the scope of this work). The system under analysis is an innovative four-zone HVAC system for a luxury vehicle. The innovation lies in the zonal independence, which makes the object of this work able to produce many more operating modes, with respect to conventional automotive HVAC systems.