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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Main Author: Lim, Min Yang
Other Authors: Soh Yeng Chai
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2020
Subjects:
Online Access:https://hdl.handle.net/10356/139454
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.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
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
Lim, Min Yang
Occupancy estimation using environmental parameters
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.
author2 Soh Yeng Chai
author_facet Soh Yeng Chai
Lim, Min Yang
format Final Year Project
author Lim, Min Yang
author_sort Lim, Min Yang
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 2020
url https://hdl.handle.net/10356/139454
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