P., Ozoh and S., Abd-Rahman and J., Labadin and M., Apperley (2014) A Comparative Analysis of Techniques for Forecasting Electricity Consumption. International Journal of Computer Applications, 88 (15). ISSN 0975 – 8887)
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Abstract
The issue of obtaining reliable forecasting methods for electricity consumption has been widely discussed by past research work. This is due to the increased demand for electricity and as a result, the development of efficient pricing models. Several techniques have been used in past research for forecasting electricity consumption. This includes the use of forecasting, time-series technique (FTST) and artificial neural networks (ANN). This paper introduces a modified Newton’s model (MNM) to forecast electricity consumption. Forecasting models are developed from historical data and predictive estimates are obtained. This research work utilizes data from Universiti Malaysia Sarawak, a public university in Malaysia, from 2009 to 2012. The variables considered in this research include electricity consumption for different months over the years.
| Item Type: | Article |
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| Additional Information: | Information, Communication and Creative Technology |
| Uncontrolled Keywords: | Electricity consumption, electricity forecasting, time-series, artificial neural networks, modified newton’s method, historical data, unimas, university, universiti, Borneo, Malaysia, Sarawak, Kuching, Samarahan, ipta, education, research, Universiti Malaysia Sarawak |
| Subjects: | T Technology > T Technology (General) |
| Divisions: | Academic Faculties, Institutes and Centres > Faculty of Computer Science and Information Technology Faculties, Institutes, Centres > Faculty of Computer Science and Information Technology Academic Faculties, Institutes and Centres > Faculty of Computer Science and Information Technology |
| Depositing User: | Karen Kornalius |
| Date Deposited: | 04 Aug 2015 01:05 |
| Last Modified: | 29 Sep 2022 06:40 |
| URI: | http://ir.unimas.my/id/eprint/8465 |
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