Comparing forecasting performances between multilayer feedforward neural network and recurrent neural network in Malaysia's load
This paper presents the use of two artificial neural networks models, namely the multilayer feedforward neural network (MLFF) and the recurrent neural network (RNN) are applied for Malaysia’s load forecasting. For this purpose, a half hourly load data is divided equally into three distinct sets for...
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| 主要な著者: | , , , |
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| フォーマット: | 論文 |
| 出版事項: |
Taru Publications
2010
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| 主題: | |
| オンライン･アクセス: | http://eprints.utm.my/id/eprint/25936/ https://www.researchgate.net/publication/261657532_Comparing_forecasting_performances_between_multilayer_feedforward_neural_network_and_recurrent_neural_network_in_Malaysia%27s_load |
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