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

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.

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Abstract

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.

Item Type:	Conference or Workshop Item (Full Paper)
Additional Information:	6153/35759
Subjects:	T Technology > T Technology (General)
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Information and Communication Technology > Department of Information System Kulliyyah of Information and Communication Technology > Department of Information System
Depositing User:	Akram M Zeki
Date Deposited:	20 Feb 2014 14:19
Last Modified:	08 Dec 2014 11:48
URI:	http://irep.iium.edu.my/id/eprint/35759

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