Rainfall and runoff forecasting with SSA-SVM approach

@inproceedings{Sivapragasam2001RainfallAR,
  title={Rainfall and runoff forecasting with SSA-SVM approach},
  author={C. Sivapragasam and Shie-Yui Liong and M. Fayzul K. Pasha},
  year={2001}
}
Real time operation studies such as reservoir operation, flood forecasting, etc., necessitates good forecasts of the associated hydrologic variable(s). A significant improvement in such forecasting can be obtained by suitable pre-processing. In this study, a simple and efficient prediction technique based on Singular Spectrum Analysis (SSA) coupled with Support Vector Machine (SVM) is proposed. While SSA decomposes original time series into a set of high and low frequency components, SVM helps… CONTINUE READING

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