Exploring machine learning algorithms for accurate water level forecasting in Muda river, Malaysia

• Main Authors: Adli Zakaria M.N., Ahmed A.N., Abdul Malek M., Birima A.H., Hayet Khan M.M., Sherif M., Elshafie A.
• Other Authors: 58480232100
• Format: Article
• Published: Elsevier Ltd 2024
• Subjects: LSTM; Machine learning; Malaysia; MLP; Muda river; Water level; XGBoost
• Institution: Universiti Tenaga Nasional

Accurate water level prediction for both lake and river is essential for flood warning and freshwater resource management. In this study, three machine learning algorithms: multi-layer perceptron neural network (MLP-NN), long short-term memory neural network (LSTM) and extreme gradient boosting XGBo...