Occupancy estimation using environmental parameters
Heating, Ventilation, and Air Conditioning (HVAC) systems make up for a large portion of energy consumption in Singapore. With rising concerns of climate change, smart technologies like occupancy estimation with environmental parameters are introduced and being further researched on. This paper will...
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Format: | Final Year Project |
Language: | English |
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Nanyang Technological University
2023
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Online Access: | https://hdl.handle.net/10356/167626 |
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Institution: | Nanyang Technological University |
Language: | English |
Summary: | Heating, Ventilation, and Air Conditioning (HVAC) systems make up for a large portion of energy consumption in Singapore. With rising concerns of climate change, smart technologies like occupancy estimation with environmental parameters are introduced and being further researched on. This paper will introduce a data collection system, where the environmental parameters collected will be analysed. Machine learning models will be used to predict occupancy levels based on the data collected and models will be evaluated. |
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