A Comparative Analysis of Techniques for Forecasting Electricity Consumption
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 fo...
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| Format: | Article |
| Language: | English |
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International Journal of Computer Applications
2014
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| Online Access: | http://ir.unimas.my/id/eprint/8465/ http://ir.unimas.my/id/eprint/8465/1/A%20Comparative%20Analysis%20of%20Techniques%20for%20Forecasting%20Electricity%20Consumption%20%28abstract%29.pdf |
| _version_ | 1848836382902976512 |
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| author | P., Ozoh S., Abd-Rahman J., Labadin M., Apperley |
| author_facet | P., Ozoh S., Abd-Rahman J., Labadin M., Apperley |
| author_sort | P., Ozoh |
| building | UNIMAS Institutional Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-15T06:22:53Z |
| format | Article |
| id | unimas-8465 |
| institution | Universiti Malaysia Sarawak |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T06:22:53Z |
| publishDate | 2014 |
| publisher | International Journal of Computer Applications |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | unimas-84652022-09-29T06:40:56Z http://ir.unimas.my/id/eprint/8465/ A Comparative Analysis of Techniques for Forecasting Electricity Consumption P., Ozoh S., Abd-Rahman J., Labadin M., Apperley T Technology (General) 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. International Journal of Computer Applications 2014 Article NonPeerReviewed text en http://ir.unimas.my/id/eprint/8465/1/A%20Comparative%20Analysis%20of%20Techniques%20for%20Forecasting%20Electricity%20Consumption%20%28abstract%29.pdf 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) DOI: 10.5120/15426-3841 |
| spellingShingle | T Technology (General) P., Ozoh S., Abd-Rahman J., Labadin M., Apperley A Comparative Analysis of Techniques for Forecasting Electricity Consumption |
| title | A Comparative Analysis of Techniques for Forecasting Electricity Consumption |
| title_full | A Comparative Analysis of Techniques for Forecasting Electricity Consumption |
| title_fullStr | A Comparative Analysis of Techniques for Forecasting Electricity Consumption |
| title_full_unstemmed | A Comparative Analysis of Techniques for Forecasting Electricity Consumption |
| title_short | A Comparative Analysis of Techniques for Forecasting Electricity Consumption |
| title_sort | comparative analysis of techniques for forecasting electricity consumption |
| topic | T Technology (General) |
| url | http://ir.unimas.my/id/eprint/8465/ http://ir.unimas.my/id/eprint/8465/ http://ir.unimas.my/id/eprint/8465/1/A%20Comparative%20Analysis%20of%20Techniques%20for%20Forecasting%20Electricity%20Consumption%20%28abstract%29.pdf |