Monthly Streamflow Prediction of the Source Region of the Yellow River Based on Long Short-Term Memory Considering Different Lagged Months

Monthly Streamflow Prediction of the Source Region of the Yellow River Based on Long Short-Term Memory Considering Different Lagged Months

Accurate and reliable monthly streamflow prediction plays a crucial role in the scientific allocation and efficient utilization of water resources. In this paper, we proposed a prediction framework that integrates the input variable selection method and Long Short-Term Memory (LSTM). The input selec...

Full description

Bibliographic Details
Main Authors: Haibo Chu, Zhuoqi Wang, Chong Nie
Format: Article
Language:English
Published: MDPI AG 2024-02-01
Series:Water
Subjects:
data-driven models
lagged time analysis
LSTM
monthly streamflow prediction
Yellow River
Online Access:https://www.mdpi.com/2073-4441/16/4/593

Internet

https://www.mdpi.com/2073-4441/16/4/593

Similar Items