Forecasting Malaysia load using a hybrid model
A hybrid model, which combines the seasonal time series ARIMA (SARIMA) and the multilayer feed-forward neural network to forecast time series with seasonality, is shown to outperform both two single models. Besides the selection of transfer functions, the determination of hidden nodes to use for the...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Uni Islam Bandung Indonesia
2010
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/25946/2/article.php_article%3D261535%26val%3D1587%26title%3DForecastingMalaysiaLoadUsingaHybridModel http://eprints.utm.my/id/eprint/25946/ http://download.portalgaruda.org/article.php?article=261535&val=1587&title=ForecastingMalaysiaLoadUsingaHybridModel |
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