A review of deep learning and machine learning techniques for hydrological inflow forecasting

• Main Authors: Latif S.D., Ahmed A.N.
• Other Authors: 57216081524
• Format: Review
• Published: Springer Science and Business Media B.V. 2024
• Subjects: Deep learning; Long short-term memory (LSTM); Machine learning; Streamflow prediction; algorithm; forecasting method; inflow; literature review; machine learning; prediction; rainfall; reservoir; streamflow

Conventional machine learning models have been widely used for reservoir inflow and rainfall prediction. Nowadays, researchers focus on a new computing architecture in the area of AI, namely, deep learning for hydrological forecasting parameters. This review paper tends to broadcast more of the intr...