Data driven one day ahead air quality forecast system for NO2 and PM2.5 pollutants

Data driven one day ahead air quality forecast system for NO2 and PM2.5 pollutants

Air pollution has become a global environmental issue affecting climate change and the health of all living organisms including humans. This paper aims to build a robust prediction machine learning based method specifically targeted at PM2.5 and NOx to mitigate the harmful effects of air pollution o...

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Main Author: Goh, Johnathan Qing Yan
Other Authors: Wong Kin Shun, Terence
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2023
Subjects:
Engineering::Electrical and electronic engineering::Computer hardware, software and systems
Online Access:https://hdl.handle.net/10356/167691
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1676912023-07-07T15:52:06Z Data driven one day ahead air quality forecast system for NO2 and PM2.5 pollutants Goh, Johnathan Qing Yan Wong Kin Shun, Terence School of Electrical and Electronic Engineering EKSWONG@ntu.edu.sg Engineering::Electrical and electronic engineering::Computer hardware, software and systems Air pollution has become a global environmental issue affecting climate change and the health of all living organisms including humans. This paper aims to build a robust prediction machine learning based method specifically targeted at PM2.5 and NOx to mitigate the harmful effects of air pollution on both humanity and the planet. Bachelor of Engineering (Electrical and Electronic Engineering) 2023-05-30T04:31:08Z 2023-05-30T04:31:08Z 2023 Final Year Project (FYP) Goh, J. Q. Y. (2023). Data driven one day ahead air quality forecast system for NO2 and PM2.5 pollutants. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/167691 https://hdl.handle.net/10356/167691 en A2242-221 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::Computer hardware, software and systems
spellingShingle Engineering::Electrical and electronic engineering::Computer hardware, software and systems
Goh, Johnathan Qing Yan
Data driven one day ahead air quality forecast system for NO2 and PM2.5 pollutants
description Air pollution has become a global environmental issue affecting climate change and the health of all living organisms including humans. This paper aims to build a robust prediction machine learning based method specifically targeted at PM2.5 and NOx to mitigate the harmful effects of air pollution on both humanity and the planet.
author2 Wong Kin Shun, Terence
author_facet Wong Kin Shun, Terence
Goh, Johnathan Qing Yan
format Final Year Project
author Goh, Johnathan Qing Yan
author_sort Goh, Johnathan Qing Yan
title Data driven one day ahead air quality forecast system for NO2 and PM2.5 pollutants
title_short Data driven one day ahead air quality forecast system for NO2 and PM2.5 pollutants
title_full Data driven one day ahead air quality forecast system for NO2 and PM2.5 pollutants
title_fullStr Data driven one day ahead air quality forecast system for NO2 and PM2.5 pollutants
title_full_unstemmed Data driven one day ahead air quality forecast system for NO2 and PM2.5 pollutants
title_sort data driven one day ahead air quality forecast system for no2 and pm2.5 pollutants
publisher Nanyang Technological University
publishDate 2023
url https://hdl.handle.net/10356/167691
_version_ 1772827309110198272

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