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Forecasting carbon dioxide emission for Malaysia using fractional order multivariable grey model

Forecasting the amount of carbon dioxide (CO2 ) emissions has been crucially important to the civilisation of society to ensure that we can inhabit this planet in years to come. Hence, the study that focuses on the prediction on the amount of CO2 releases into the environment has always been the foc...

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Main Authors: Sulaiman, Assif Shamim Mustaffa, Shabri, Ani, Marie, Rashiq Rafiq
Format: Conference or Workshop Item
Published: 2022
Subjects:
QA Mathematics
Online Access:http://eprints.utm.my/id/eprint/99681/
http://dx.doi.org/10.1007/978-3-030-98741-1_14
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spelling my.utm.996812023-03-10T01:35:04Z http://eprints.utm.my/id/eprint/99681/ Forecasting carbon dioxide emission for Malaysia using fractional order multivariable grey model Sulaiman, Assif Shamim Mustaffa Shabri, Ani Marie, Rashiq Rafiq QA Mathematics Forecasting the amount of carbon dioxide (CO2 ) emissions has been crucially important to the civilisation of society to ensure that we can inhabit this planet in years to come. Hence, the study that focuses on the prediction on the amount of CO2 releases into the environment has always been the focal point in any international level climate change conferences to ensure the target set would be considerably reached in the future. As the conventional multivariable grey model or GM (1,N) model has widely been used in the study to forecast short-term sample size data, this model possessed issues when dealing with prioritization of information as the weightage was evenly spread across all data points, causes an ineffective forecasting result. This study will use the fractional order multivariable grey model, or FAGM (1,N) model to predict the amount of CO2 emissions for Malaysia within the 10 years timeframe data set. As the FAGM (1,N) model focuses on the prioritization of newer information, the proposed model will be able to forecast the CO2 emissions better compared to the GM (1,N) model even with a small sample size data. 2022 Conference or Workshop Item PeerReviewed Sulaiman, Assif Shamim Mustaffa and Shabri, Ani and Marie, Rashiq Rafiq (2022) Forecasting carbon dioxide emission for Malaysia using fractional order multivariable grey model. In: 6th International Conference of Reliable Information and Communication Technology (IRICT 2021), 22 - 23 December 2021, Virtual, Online. http://dx.doi.org/10.1007/978-3-030-98741-1_14
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic QA Mathematics
spellingShingle QA Mathematics
Sulaiman, Assif Shamim Mustaffa
Shabri, Ani
Marie, Rashiq Rafiq
Forecasting carbon dioxide emission for Malaysia using fractional order multivariable grey model
description Forecasting the amount of carbon dioxide (CO2 ) emissions has been crucially important to the civilisation of society to ensure that we can inhabit this planet in years to come. Hence, the study that focuses on the prediction on the amount of CO2 releases into the environment has always been the focal point in any international level climate change conferences to ensure the target set would be considerably reached in the future. As the conventional multivariable grey model or GM (1,N) model has widely been used in the study to forecast short-term sample size data, this model possessed issues when dealing with prioritization of information as the weightage was evenly spread across all data points, causes an ineffective forecasting result. This study will use the fractional order multivariable grey model, or FAGM (1,N) model to predict the amount of CO2 emissions for Malaysia within the 10 years timeframe data set. As the FAGM (1,N) model focuses on the prioritization of newer information, the proposed model will be able to forecast the CO2 emissions better compared to the GM (1,N) model even with a small sample size data.
format Conference or Workshop Item
author Sulaiman, Assif Shamim Mustaffa
Shabri, Ani
Marie, Rashiq Rafiq
author_facet Sulaiman, Assif Shamim Mustaffa
Shabri, Ani
Marie, Rashiq Rafiq
author_sort Sulaiman, Assif Shamim Mustaffa
title Forecasting carbon dioxide emission for Malaysia using fractional order multivariable grey model
title_short Forecasting carbon dioxide emission for Malaysia using fractional order multivariable grey model
title_full Forecasting carbon dioxide emission for Malaysia using fractional order multivariable grey model
title_fullStr Forecasting carbon dioxide emission for Malaysia using fractional order multivariable grey model
title_full_unstemmed Forecasting carbon dioxide emission for Malaysia using fractional order multivariable grey model
title_sort forecasting carbon dioxide emission for malaysia using fractional order multivariable grey model
publishDate 2022
url http://eprints.utm.my/id/eprint/99681/
http://dx.doi.org/10.1007/978-3-030-98741-1_14
_version_ 1761616365763952640
score 13.211869

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