Time series forecasting based on wavelet filtering
The study proposes a forecasting method based on wavelet filtering. The proposed method analyzes time series in both the time and frequency domains. The proposed method decomposes the time series into the trend and variation parts. Simulation and real data demonstrated the applicability of the proposed method.
time series forecasting arima wavelet transforms