A review of hybrid deep learning applications for streamflow forecasting

• Main Authors: Ng K.W., Huang Y.F., Koo C.H., Chong K.L., El-Shafie A., Najah Ahmed A.
• Other Authors: 58590894900
• Format: Review
• Published: Elsevier B.V. 2024
• Subjects: Algorithms; Optimization; Prediction; River; Runoff; Supervised learning; Decision making; Deep learning; Learning systems; Stream flow; Water management; Forecasting: applications; Hybrid forms; Hybridisation; ITS applications; Learning models; Machine learning applications; On-machines; Optimisations; Review papers; Streamflow forecasting; algorithm; machine learning; optimization; prediction; river; runoff; streamflow; Forecasting
• Institution: Universiti Tenaga Nasional

Deep learning has emerged as a powerful tool for streamflow forecasting and its applications have garnered significant interest in the hydrological community. Despite the publication of several review articles on machine learning applications in streamflow forecasting, no review paper has yet focuse...