Forecasting drought using modified empirical wavelet transform-ARIMA with fuzzy C-means clustering
Drought forecasting is important in preparing for drought and its mitigation plan. This study focuses on the investigating the performance of Auto Regressive Integrated Moving Average (ARIMA) and Empirical Wavelet Transform (EWT)-ARIMA based on clustering analysis in forecasting drought using Standa...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Institute of Advanced Engineering and Science
2018
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/84560/1/MuhammadAkramShaari2018_ForecastingDroughtUsingModifiedEmpiricalWavelet.pdf http://eprints.utm.my/id/eprint/84560/ http://ijeecs.iaescore.com/index.php/IJEECS/article/view/13472 |
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