Intelligent system for predicting the price of natural gas based on non-oil commodities

We present a preliminary investigation into a novel approach to natural gas prediction. Experimental data were extracted from the Energy Information Administration of the US Department of Energy. The datasets were pre-processed and used to build a feed-forward neural network intelligent system for p...

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Main Authors:	Chiroma, Haruna, Abdulkareem, Sameem, Abubakar, Adamu, Zeki, Akram M., Ya'u Gital, Abdulsalam
Format:	Conference or Workshop Item
Language:	English
Published:	2013
Subjects:	T Technology (General)
Online Access:	http://irep.iium.edu.my/35759/ http://irep.iium.edu.my/35759/ http://irep.iium.edu.my/35759/ http://irep.iium.edu.my/35759/1/Intelligent_System.pdf

id	iium-35759
recordtype	eprints
spelling	iium-357592014-12-08T03:48:34Z http://irep.iium.edu.my/35759/ Intelligent system for predicting the price of natural gas based on non-oil commodities Chiroma, Haruna Abdulkareem, Sameem Abubakar, Adamu Zeki, Akram M. Ya'u Gital, Abdulsalam T Technology (General) We present a preliminary investigation into a novel approach to natural gas prediction. Experimental data were extracted from the Energy Information Administration of the US Department of Energy. The datasets were pre-processed and used to build a feed-forward neural network intelligent system for predicting natural gas prices based on gold, silver, soy and copper. The validation of the intelligent system indicated a Regression (R) = 0.79972 when the reserved datasets were tested on the intelligent system. Natural gas prices can be predicted using non-oil commodities as independent variables. With little additional information, the proposed design can be used to construct intelligent decision support systems to support decision making in the government and private sector. 2013 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/35759/1/Intelligent_System.pdf Chiroma, Haruna and Abdulkareem, Sameem and Abubakar, Adamu and Zeki, Akram M. and Ya'u Gital, Abdulsalam (2013) Intelligent system for predicting the price of natural gas based on non-oil commodities. In: 2013 IEEE Symposium on Industrial Electronics & Applications (ISIEA2013), 22-25 September 2013, Kuching, Sarawak. http://dx.doi.org/10.1109/ISIEA.2013.6738994 doi:10.1109/ISIEA.2013.6738994
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	T Technology (General)
spellingShingle	T Technology (General) Chiroma, Haruna Abdulkareem, Sameem Abubakar, Adamu Zeki, Akram M. Ya'u Gital, Abdulsalam Intelligent system for predicting the price of natural gas based on non-oil commodities
description	We present a preliminary investigation into a novel approach to natural gas prediction. Experimental data were extracted from the Energy Information Administration of the US Department of Energy. The datasets were pre-processed and used to build a feed-forward neural network intelligent system for predicting natural gas prices based on gold, silver, soy and copper. The validation of the intelligent system indicated a Regression (R) = 0.79972 when the reserved datasets were tested on the intelligent system. Natural gas prices can be predicted using non-oil commodities as independent variables. With little additional information, the proposed design can be used to construct intelligent decision support systems to support decision making in the government and private sector.
format	Conference or Workshop Item
author	Chiroma, Haruna Abdulkareem, Sameem Abubakar, Adamu Zeki, Akram M. Ya'u Gital, Abdulsalam
author_facet	Chiroma, Haruna Abdulkareem, Sameem Abubakar, Adamu Zeki, Akram M. Ya'u Gital, Abdulsalam
author_sort	Chiroma, Haruna
title	Intelligent system for predicting the price of natural gas based on non-oil commodities
title_short	Intelligent system for predicting the price of natural gas based on non-oil commodities
title_full	Intelligent system for predicting the price of natural gas based on non-oil commodities
title_fullStr	Intelligent system for predicting the price of natural gas based on non-oil commodities
title_full_unstemmed	Intelligent system for predicting the price of natural gas based on non-oil commodities
title_sort	intelligent system for predicting the price of natural gas based on non-oil commodities
publishDate	2013
url	http://irep.iium.edu.my/35759/ http://irep.iium.edu.my/35759/ http://irep.iium.edu.my/35759/ http://irep.iium.edu.my/35759/1/Intelligent_System.pdf
first_indexed	2023-09-18T20:51:14Z
last_indexed	2023-09-18T20:51:14Z
_version_	1777410008607096832

Intelligent system for predicting the price of natural gas based on non-oil commodities

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