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...
| Main Authors: | , , , , |
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| Format: | Proceeding Paper |
| Language: | English |
| Published: |
2013
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/35759/ http://irep.iium.edu.my/35759/1/Intelligent_System.pdf |
| _version_ | 1848781108261421056 |
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| 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 |
| building | IIUM Repository |
| collection | Online Access |
| 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. |
| first_indexed | 2025-11-14T15:44:19Z |
| format | Proceeding Paper |
| id | iium-35759 |
| institution | International Islamic University Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T15:44:19Z |
| publishDate | 2013 |
| recordtype | eprints |
| repository_type | Digital Repository |
| 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 Proceeding Paper 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 |
| 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 |
| title | 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_short | 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 |
| topic | T Technology (General) |
| 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 |