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A prediction of oil demand in Malaysia using time series modeling approach

Energy planning and preparation is important to ensure stability in economy and security of a nation. It depends on the accurate prediction of future demand of energy. This paper presents prediction of oil demand as one of the energy sources used in Malaysia. Mathematical model is developed from his...

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Main Authors: N., Saad, I., Awaludin, H., Agustiawan
Format: Conference or Workshop Item
Published: 2008
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://eprints.utp.edu.my/371/1/paper.pdf
http://www.scopus.com/inward/record.url?eid=2-s2.0-57349143784&partnerID=40&md5=9cd723226f8d02f231b0bd5a41fde38b
http://eprints.utp.edu.my/371/
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spelling my.utp.eprints.3712017-01-19T08:26:38Z A prediction of oil demand in Malaysia using time series modeling approach N., Saad I., Awaludin H., Agustiawan TK Electrical engineering. Electronics Nuclear engineering Energy planning and preparation is important to ensure stability in economy and security of a nation. It depends on the accurate prediction of future demand of energy. This paper presents prediction of oil demand as one of the energy sources used in Malaysia. Mathematical model is developed from historical data to approximate the function of oil consumption. The model is approximated through nonlinear time series modeling approach. Several models of oil demand in time series polynomial equations with different order are presented and compared. These models are then be used to predict future oil demand in Malaysia until year 2020. © 2008 IEEE. 2008 Conference or Workshop Item NonPeerReviewed application/pdf http://eprints.utp.edu.my/371/1/paper.pdf http://www.scopus.com/inward/record.url?eid=2-s2.0-57349143784&partnerID=40&md5=9cd723226f8d02f231b0bd5a41fde38b N., Saad and I., Awaludin and H., Agustiawan (2008) A prediction of oil demand in Malaysia using time series modeling approach. In: International Symposium on Information Technology 2008, ITSim, 26 August 2008 through 29 August 2008, Kuala Lumpur. http://eprints.utp.edu.my/371/
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Institutional Repository
url_provider http://eprints.utp.edu.my/
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
N., Saad
I., Awaludin
H., Agustiawan
A prediction of oil demand in Malaysia using time series modeling approach
description Energy planning and preparation is important to ensure stability in economy and security of a nation. It depends on the accurate prediction of future demand of energy. This paper presents prediction of oil demand as one of the energy sources used in Malaysia. Mathematical model is developed from historical data to approximate the function of oil consumption. The model is approximated through nonlinear time series modeling approach. Several models of oil demand in time series polynomial equations with different order are presented and compared. These models are then be used to predict future oil demand in Malaysia until year 2020. © 2008 IEEE.
format Conference or Workshop Item
author N., Saad
I., Awaludin
H., Agustiawan
author_facet N., Saad
I., Awaludin
H., Agustiawan
author_sort N., Saad
title A prediction of oil demand in Malaysia using time series modeling approach
title_short A prediction of oil demand in Malaysia using time series modeling approach
title_full A prediction of oil demand in Malaysia using time series modeling approach
title_fullStr A prediction of oil demand in Malaysia using time series modeling approach
title_full_unstemmed A prediction of oil demand in Malaysia using time series modeling approach
title_sort prediction of oil demand in malaysia using time series modeling approach
publishDate 2008
url http://eprints.utp.edu.my/371/1/paper.pdf
http://www.scopus.com/inward/record.url?eid=2-s2.0-57349143784&partnerID=40&md5=9cd723226f8d02f231b0bd5a41fde38b
http://eprints.utp.edu.my/371/
_version_ 1738655057656676352
score 13.214268

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