Forecast on electricity consumption in Malaysia by using artificial neural network (ANN) / Mohd Syahmin Mohamed Othman
Forecast of electricity consumption is very important for both suppliers and large consumers. However, the electricity consumption of a large enterprise is quite different with regional consumption, and has not been studied sufficiently, especially for an energy intensive corporation. An essential e...
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| Format: | Thesis |
| Language: | en |
| Published: |
2010
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| Subjects: | |
| Online Access: | https://ir.uitm.edu.my/id/eprint/79529/1/79529.PDF https://ir.uitm.edu.my/id/eprint/79529/ |
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| Summary: | Forecast of electricity consumption is very important for both suppliers and large consumers. However, the electricity consumption of a large enterprise is quite different with regional consumption, and has not been studied sufficiently, especially for an energy intensive corporation. An essential element of electric utility resource planning is forecasting the electricity consumption for the long term. This study presents an approach to forecast the annual electricity consumption based on historical data for Malaysia by using artificial neural network (ANN). The project involves developing several ANN designs to develop network and testing that network appropriately. ANN with its best performance was selected as the best design. After obtaining the most reliable model, forecasting the electricity consumption by using ANN is performed. The network is developed by means of economical conditions and how the variables are going to be changed in the following years. The model of network yields gives a very satisfactory results and the range of electricity consumption is obtained. Consequently, forecasting the electricity consumption in Malaysia can be successfully done. |
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