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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Main Author:	Kho, Yan Qin
Other Authors:	Soh Yeng Chai
Format:	Final Year Project
Language:	English
Published:	Nanyang Technological University 2023
Subjects:	Engineering::Electrical and electronic engineering
Online Access:	https://hdl.handle.net/10356/167626
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Institution:	Nanyang Technological University
Language:	English

id	sg-ntu-dr.10356-167626
record_format	dspace
spelling	sg-ntu-dr.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
institution	Nanyang Technological University
building	NTU Library
continent	Asia
country	Singapore Singapore
content_provider	NTU Library
collection	DR-NTU
language	English
topic	Engineering::Electrical and electronic engineering
spellingShingle	Engineering::Electrical and electronic engineering Kho, Yan Qin Occupancy estimation using environmental parameters
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.
author2	Soh Yeng Chai
author_facet	Soh Yeng Chai Kho, Yan Qin
format	Final Year Project
author	Kho, Yan Qin
author_sort	Kho, Yan Qin
title	Occupancy estimation using environmental parameters
title_short	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_sort	occupancy estimation using environmental parameters
publisher	Nanyang Technological University
publishDate	2023
url	https://hdl.handle.net/10356/167626
_version_	1772828102449168384

Occupancy estimation using environmental parameters

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