A Clustering-Based Deep Learning Method for Water Level Prediction

被引：0

作者：

Wang, Chih-Ping ^{[1
]}

Liu, Duen-Ren ^{[1
]}

机构：

[1] Natl Yang Ming Chiao Tung Univ, Inst Informat Management, 1001 Daxue Rd, Hsinchu 300093, Taiwan

来源：

IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS | 2024年 / E107卷 / 12期

关键词：

water level prediction; clustering; deep learning; cluster-GRU-; based; Three Gorges Dam;

D O I：

10.1587/transinf.2024EDL8047

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Accurate water level prediction systems improve safety and quality of life. This study introduces a method that uses clustering and deep learning of multisite data to enhance the water level prediction of the Three Gorges Dam. The results show that Cluster-GRU-based can provide accurate forecasts for up to seven days.

引用

页码：1538 / 1541

页数：4