Occupancy estimation using environmental parameters
This report highlights why there is the need to achieve a reduction in energy consumption and greenhouse gas emission, by measuring occupancy levels in buildings non-invasively to determine HVAC operation time. The report will also cover how the measurement of occupancy levels can be derived from re...
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| Format: | Final Year Project (FYP) |
| Language: | English |
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Nanyang Technological University
2020
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| Online Access: | https://hdl.handle.net/10356/139454 |
| _version_ | 1826121044564377600 |
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| author | Lim, Min Yang |
| author2 | Soh Yeng Chai |
| author_facet | Soh Yeng Chai Lim, Min Yang |
| author_sort | Lim, Min Yang |
| collection | NTU |
| description | This report highlights why there is the need to achieve a reduction in energy consumption and greenhouse gas emission, by measuring occupancy levels in buildings non-invasively to determine HVAC operation time. The report will also cover how the measurement of occupancy levels can be derived from real-time data collected from the environment by the adoption of sensors in the experiment setting. Additionally, this report will also review the different types of machine learning models that will be used for analysis of the datasets, their advantages/disadvantages, results, conclusion as well as the future work that can be carried out to improve the project subsequently. |
| first_indexed | 2024-10-01T05:26:19Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/139454 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T05:26:19Z |
| publishDate | 2020 |
| publisher | Nanyang Technological University |
| record_format | dspace |
| spelling | ntu-10356/1394542023-07-07T18:04:16Z Occupancy estimation using environmental parameters Lim, Min Yang Soh Yeng Chai School of Electrical and Electronic Engineering eycsoh@ntu.edu.sg Engineering::Electrical and electronic engineering This report highlights why there is the need to achieve a reduction in energy consumption and greenhouse gas emission, by measuring occupancy levels in buildings non-invasively to determine HVAC operation time. The report will also cover how the measurement of occupancy levels can be derived from real-time data collected from the environment by the adoption of sensors in the experiment setting. Additionally, this report will also review the different types of machine learning models that will be used for analysis of the datasets, their advantages/disadvantages, results, conclusion as well as the future work that can be carried out to improve the project subsequently. Bachelor of Engineering (Information Engineering and Media) 2020-05-19T09:06:49Z 2020-05-19T09:06:49Z 2020 Final Year Project (FYP) https://hdl.handle.net/10356/139454 en A1163-191 application/pdf Nanyang Technological University |
| spellingShingle | Engineering::Electrical and electronic engineering Lim, Min Yang 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/10356/139454 |
| work_keys_str_mv | AT limminyang occupancyestimationusingenvironmentalparameters |