Forecasting short term load demand using multilayer feed-forward (MLFF) neural network model
The purpose of this study was to apply the proposed model selection strategies in order to develop the best multilayer feed-forward neural network (MLFF) model for forecasting load demand. A one year half hourly load demand of Malaysia was used with the mean absolute percentage error (MAPE) as a for...
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| Main Authors: | , , , |
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| Format: | Article |
| Published: |
Hikari LTD
2012
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/33653/ http://m-hikari.com/ams/ams-2012/ams-105-108-2012/mohamedAMS105-108-2012.pdf |
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