A novel vision-based approach for accurate equipment usage detection for energy efficiency and indoor comfort level improvement in office buildings
The aim of this study was to develop a real-time indoor equipment usage detection approach using computer vision and deep learning techniques to aid the adjustment of heating, ventilation, and air conditioning (HVAC) operations based on the actual demands in office and kitchen spaces. This could not...
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| Format: | Thesis (University of Nottingham only) |
| Language: | English |
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2023
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| Online Access: | https://eprints.nottingham.ac.uk/76665/ |