A wavelet-SARIMA-ANN hybrid model for precipitation forecasting
Given its importance in water resources management, particularly in terms of minimizing flood or drought hazards, precipitation forecasting has seen a wide variety of approaches tested. As monthly precipitation time series have nonlinear features and multiple time scales, wavelet, seasonal auto regr...
Main Authors: | Shafaei Maryam, Adamowski Jan, Fakheri-Fard Ahmad, Dinpashoh Yagob, Adamowski Kazimierz |
---|---|
Format: | Article |
Language: | English |
Published: |
Polish Academy of Sciences
2016-03-01
|
Series: | Journal of Water and Land Development |
Subjects: | |
Online Access: | http://www.degruyter.com/view/j/jwld.2016.28.issue-1/jwld-2016-0003/jwld-2016-0003.xml?format=INT |
Similar Items
-
Application of SARIMA model in forecasting and analyzing inpatient cases of acute mountain sickness
by: Jianchao Liu, et al.
Published: (2023-01-01) -
Forecasting the Electric Energy Supply in Duhok Province using Proposed Methods Based on Wavelet Analysis and Sarima Methods
by: Qais M. Abdulqader
Published: (2017-06-01) -
Collaborative Energy Price Computing Based on Sarima-Ann and Asymmetric Stackelberg Games
by: Tiantian Zhang, et al.
Published: (2023-02-01) -
Forecasting Fisheries Production in Indonesia
by: Bayu Rhamadani Wicaksono, et al.
Published: (2020-10-01) -
Comparative analysis of Gated Recurrent Units (GRU), long Short-Term memory (LSTM) cells, autoregressive Integrated moving average (ARIMA), seasonal autoregressive Integrated moving average (SARIMA) for forecasting COVID-19 trends
by: K.E. ArunKumar, et al.
Published: (2022-10-01)