Forecasting carbon dioxide emissions for Malaysia using grey model with Cramer's rule
This article analyses and forecasts carbon dioxide (CO#) emissions in Malaysia for the 2014 to 2018 period. The study analysed the data using grey forecasting model with Cramer's rule to calculate the best SOGM(2,1) model with the highest accuracy of precision compared to conventional grey fore...
Saved in:
Main Authors: | , |
---|---|
Format: | Article |
Language: | English |
Published: |
Penerbit UTM Press
2021
|
Subjects: | |
Online Access: | http://eprints.utm.my/id/eprint/26623/1/AniShabri2021_ForecastingCarbonDioxideEmissions.pdf http://eprints.utm.my/id/eprint/26623/ http://dx.doi.org/10.11113/MJFAS.V17N4.2091 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
id |
my.utm.26623 |
---|---|
record_format |
eprints |
spelling |
my.utm.266232022-02-28T13:25:25Z http://eprints.utm.my/id/eprint/26623/ Forecasting carbon dioxide emissions for Malaysia using grey model with Cramer's rule Sulaiman, Assif Shamim Mustaffa Shabri, Ani QA Mathematics This article analyses and forecasts carbon dioxide (CO#) emissions in Malaysia for the 2014 to 2018 period. The study analysed the data using grey forecasting model with Cramer's rule to calculate the best SOGM(2,1) model with the highest accuracy of precision compared to conventional grey forecasting model. According to the forecasted result, the fitted values using SOGM(2,1) model has a higher accuracy precision with better capability in handling information to fit larger scale of uncertain feature compared to other conventional grey forecasting models. This article offers insightful information to policymakers in Malaysia to develop better renewable energy instruments to combat the greater issues of global warming and reducing the fossil carbon dioxide emissions into the environment. Penerbit UTM Press 2021-07 Article PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/26623/1/AniShabri2021_ForecastingCarbonDioxideEmissions.pdf Sulaiman, Assif Shamim Mustaffa and Shabri, Ani (2021) Forecasting carbon dioxide emissions for Malaysia using grey model with Cramer's rule. Malaysian Journal of Fundamental and Applied Sciences, 17 (4). pp. 437-445. ISSN 2289-599X http://dx.doi.org/10.11113/MJFAS.V17N4.2091 DOI:10.11113/MJFAS.V17N4.2091 |
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/ |
language |
English |
topic |
QA Mathematics |
spellingShingle |
QA Mathematics Sulaiman, Assif Shamim Mustaffa Shabri, Ani Forecasting carbon dioxide emissions for Malaysia using grey model with Cramer's rule |
description |
This article analyses and forecasts carbon dioxide (CO#) emissions in Malaysia for the 2014 to 2018 period. The study analysed the data using grey forecasting model with Cramer's rule to calculate the best SOGM(2,1) model with the highest accuracy of precision compared to conventional grey forecasting model. According to the forecasted result, the fitted values using SOGM(2,1) model has a higher accuracy precision with better capability in handling information to fit larger scale of uncertain feature compared to other conventional grey forecasting models. This article offers insightful information to policymakers in Malaysia to develop better renewable energy instruments to combat the greater issues of global warming and reducing the fossil carbon dioxide emissions into the environment. |
format |
Article |
author |
Sulaiman, Assif Shamim Mustaffa Shabri, Ani |
author_facet |
Sulaiman, Assif Shamim Mustaffa Shabri, Ani |
author_sort |
Sulaiman, Assif Shamim Mustaffa |
title |
Forecasting carbon dioxide emissions for Malaysia using grey model with Cramer's rule |
title_short |
Forecasting carbon dioxide emissions for Malaysia using grey model with Cramer's rule |
title_full |
Forecasting carbon dioxide emissions for Malaysia using grey model with Cramer's rule |
title_fullStr |
Forecasting carbon dioxide emissions for Malaysia using grey model with Cramer's rule |
title_full_unstemmed |
Forecasting carbon dioxide emissions for Malaysia using grey model with Cramer's rule |
title_sort |
forecasting carbon dioxide emissions for malaysia using grey model with cramer's rule |
publisher |
Penerbit UTM Press |
publishDate |
2021 |
url |
http://eprints.utm.my/id/eprint/26623/1/AniShabri2021_ForecastingCarbonDioxideEmissions.pdf http://eprints.utm.my/id/eprint/26623/ http://dx.doi.org/10.11113/MJFAS.V17N4.2091 |
_version_ |
1726791439088615424 |
score |
13.188404 |