Title webinar

Modelling and understanding thermal comfort using self-reporting and interpretable machine learning’

Description –

This webinar will focus on how thermal comfort can be modelled by asking the occupants about their comfort and other human related variables like clothing, mood, activities and other environmental variables. Further, how actionable insights from the model can be taken like setting a temperature range based on the self-reporting data collected by the occupants of a building, using interpretable machine learning techniques.’

Speakers:  Nitant Upasani (TU/e) - Doctoral Candidate, Built Environment, Smart Architectural Technologies.