Application of vision-based deep learning method for building occupancy and thermal comfort predictions

Application of vision-based deep learning method for building occupancy and thermal comfort predictions

Buildings are responsible for approximately 40% of global energy consumption and 30% of greenhouse gas emissions, highlighting their central role in sustainability efforts. Heating, ventilation, and air-conditioning (HVAC) systems are typically operated based on fixed schedules or occupant input, of...

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Bibliographic Details
Main Author: Zhang, Wuxia
Format: Thesis (University of Nottingham only)
Language:English
Published: 2025
Subjects:
intelligent buildings
Buildings > Mechanical equipment > Automatic control
thermal comfort
occupancy detection
deep learning
Online Access:https://eprints.nottingham.ac.uk/81454/

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