Improved monthly runoff time series prediction using the SOA–SVM model based on ICEEMDAN–WD decomposition

• Published in: Journal of hydroinformatics Vol. 25; no. 3; pp. 943 - 970
• Main Authors: Xu, Dong-mei, Wang, Xiang, Wang, Wen-chuan, Chau, Kwok-wing, Zang, Hong-fei
• Format: Journal Article
• Language: English
• Published: IWA Publishing 01.05.2023
• Subjects: improved complete ensemble emd (iceemdan); monthly runoff prediction; quadratic decomposition; seagull optimization algorithm (soa); support vector machine (svm); wavelet decomposition (wd)

In runoff prediction, the prediction accuracy is often affected by the non-linear and non-stationary characteristics of the runoff series. In this study, a coupled forecasting model is proposed that decomposes the original runoff series by an improved complete ensemble Empirical Mode Decomposition (...