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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| Format: | Thesis (University of Nottingham only) |
| Language: | English |
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2025
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| Online Access: | https://eprints.nottingham.ac.uk/81454/ |