A Hybrid Prediction Framework for Water Quality with Integrated W-ARIMA-GRU and LightGBM Methods

A Hybrid Prediction Framework for Water Quality with Integrated W-ARIMA-GRU and LightGBM Methods

Water is the source of life, and in recent years, with the progress in technology, water quality data have shown explosive growth; how to use the massive amounts of data for water quality prediction services has become a new opportunity and challenge. In this paper, we use the surface water quality...

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Bibliographic Details
Main Authors: Shenghan Zhou, Chaofei Song, Jingjing Zhang, Wenbing Chang, Wenkui Hou, Linchao Yang
Format: Article
Language:English
Published: MDPI AG 2022-04-01
Series:Water
Subjects:
water quality prediction framework
wavelet decomposition
ARIMA
GRU
LightGBM
Online Access:https://www.mdpi.com/2073-4441/14/9/1322

Internet

https://www.mdpi.com/2073-4441/14/9/1322

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