Work

A Clustering-Based Deep Learning Method for Water Level Prediction

Year: 2024

Type: article

Abstract: 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.

Source: IEICE Transactions on Information and Systems

DOI: 10.1587/transinf.2024edl8047

Authors: Chih-Ping WANG, Duen-Ren LIU

Institution: National Yang Ming Chiao Tung University

Language: English

Topic: Hydrological Forecasting Using AI

Subfield: Environmental Engineering

Field: Environmental Science

Domain: Physical Sciences

SDGs: Clean water and sanitation, Industry, innovation and infrastructure

Open Access status: diamond

OpenAlex ID: W4401528793

FWCI:

Cites: 7

Cited by:

Related to: 10