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This document discusses using a hybrid Wavelet Transformation - Artificial Neural Network (WANN) model for streamflow forecasting in the Siak Hulu sub-watershed in Indonesia. WANN models combine wavelet transformation, which decomposes time series data into different frequency components, with artificial neural networks to construct a forecasting model. The study aims to test the reliability of WANN models for streamflow forecasting in the Siak Hulu sub-watershed and determine the best performing model conf

Author

anindhya

Language

EN