Methodology for determination of virtual sensors for comfort

Determination of metrics that better describe and characterise thermal and visual comfort and IAQ conditions and description of a methodology based on Machine Learning techniques to easily calculate them through proxy variables either monitored onsite physical sensors or derived from dynamic building simulations output virtual sensors