Empirical mode decomposition-least squares support vector machine based for water demand forecasting
Accurate forecast of water demand is one of the main problems in developing management strategy for the optimal control of water supply system. In this paper, a hybrid model which combines empirical mode decomposition (EMD) and least square support vector machine (LSSVM) model is proposed to forecas...
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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: |
International Center for Scientific Research and Studies (ICSRS)
2015
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| 主題: | |
| オンライン･アクセス: | http://eprints.utm.my/id/eprint/54990/ |
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