Precipitation prediction based on CEEMDAN–VMD–BILSTM combined quadratic decomposition model

Precipitation prediction based on CEEMDAN–VMD–BILSTM combined quadratic decomposition model

Accurate prediction of monthly precipitation is crucial for effective regional water resources management and utilization. However, precipitation series are influenced by multiple factors, exhibiting significant ambiguity, chance, and uncertainty. In this research, we propose a combined model that i...

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Bibliographic Details
Main Authors:	Xianqi Zhang, Jingwen Shi, Haiyang Chen, Yimeng Xiao, Minghui Zhang
Format:	Article
Language:	English
Published:	IWA Publishing 2023-09-01
Series:	Water Supply
Subjects:	bilstm neural network ceemdan and vmd forecast accuracy fuzhou precipitation forecasting
Online Access:	http://ws.iwaponline.com/content/23/9/3597

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