Impact of Different Mode Decomposition Methods Combined with LSTM Models on Daily Runoff Forecasting

Impact of Different Mode Decomposition Methods Combined with LSTM Models on Daily Runoff Forecasting

A combination of modal decomposition and deep learning forecasting methods was introduced to daily runoff forecasting to address the characteristics of unstable and volatile daily runoff series.Firstly,the complete ensemble empirical modal decomposition method was used to decompose the daily runoff...

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Bibliographic Details
Main Authors: TAN Yongjie, WANG Xianxun, DUAN Mingxu, LIU Yaru, YAO Huaming
Format: Article
Language:zho
Published: Editorial Office of Pearl River 2023-01-01
Series:Renmin Zhujiang
Subjects:
daily runoff forecasting
long short-term memory neural network
complete ensemble empirical mode decomposition
grid search parametric optimization algorithm
Yichang hydrological station
Online Access:http://www.renminzhujiang.cn/thesisDetails#10.3969/j.issn.1001-9235.2023.12.007
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http://www.renminzhujiang.cn/thesisDetails#10.3969/j.issn.1001-9235.2023.12.007

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