Deep learning models for groundwater level prediction based on delay penalty

Deep learning models for groundwater level prediction based on delay penalty

In irrigation agriculture, predicting groundwater level (GWL) using deep learning models can help decision-makers coordinate surface water and groundwater usage, thus aiding in the sustainable development and utilization of groundwater. However, when making a long sequence prediction, prediction seq...

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Bibliographic Details
Main Authors: Zhang Chenjia, Tianxin Xu, Yan Zhang, Daokun Ma
Format: Article
Language:English
Published: IWA Publishing 2024-02-01
Series:Water Supply
Subjects:
data fusion
deep learning
groundwater level prediction
loss function
Online Access:http://ws.iwaponline.com/content/24/2/555

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