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...
| Main Author: | |
|---|---|
| Other Authors: | |
| Format: | Final Year Project (FYP) |
| Language: | English |
| Published: |
Nanyang Technological University
2023
|
| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/167626 |
| _version_ | 1811694791344259072 |
|---|---|
| author | Kho, Yan Qin |
| author2 | Soh Yeng Chai |
| author_facet | Soh Yeng Chai Kho, Yan Qin |
| author_sort | Kho, Yan Qin |
| collection | NTU |
| description | 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. |
| first_indexed | 2024-10-01T07:13:11Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/167626 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T07:13:11Z |
| publishDate | 2023 |
| publisher | Nanyang Technological University |
| record_format | dspace |
| spelling | ntu-10356/1676262023-07-07T17:51:02Z Occupancy estimation using environmental parameters Kho, Yan Qin Soh Yeng Chai School of Electrical and Electronic Engineering EYCSOH@ntu.edu.sg Engineering::Electrical and electronic engineering 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. Bachelor of Engineering (Information Engineering and Media) 2023-05-31T05:23:37Z 2023-05-31T05:23:37Z 2023 Final Year Project (FYP) Kho, Y. Q. (2023). Occupancy estimation using environmental parameters. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/167626 https://hdl.handle.net/10356/167626 en application/pdf Nanyang Technological University |
| spellingShingle | Engineering::Electrical and electronic engineering Kho, Yan Qin Occupancy estimation using environmental parameters |
| title | Occupancy estimation using environmental parameters |
| title_full | Occupancy estimation using environmental parameters |
| title_fullStr | Occupancy estimation using environmental parameters |
| title_full_unstemmed | Occupancy estimation using environmental parameters |
| title_short | Occupancy estimation using environmental parameters |
| title_sort | occupancy estimation using environmental parameters |
| topic | Engineering::Electrical and electronic engineering |
| url | https://hdl.handle.net/10356/167626 |
| work_keys_str_mv | AT khoyanqin occupancyestimationusingenvironmentalparameters |