A Clustering-Based Deep Learning Method for Water Level Prediction
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.
Authors
- Duen‐Ren Liu (ORCID: https://orcid.org/0000-0003-1180-0866)
- Chih‐Ping Wang (ORCID: https://orcid.org/0000-0003-2393-6808)
Institutions
- National Yang Ming Chiao Tung University (TW)
Publication Details
- Journal
- IEICE Transactions on Information and Systems
- Published
- 2024-08-13
- DOI
- https://doi.org/10.1587/transinf.2024edl8047
- Primary Topic
- Hydrological Forecasting Using AI
- Type
- article
- Field-Weighted Citation Impact
- 0.00