المقتنيات: Forecasting multi-step-ahead reservoir monthly and daily inflow using machine learning models based on different scenarios

Forecasting multi-step-ahead reservoir monthly and daily inflow using machine learning models based on different scenarios

Dam reservoir operations are a critical issue for decision-makers in maximizing the use of water resources. Artificial Intelligence and Machine Learning models (AI & ML) approaches are increasingly popular for reservoir inflow predictions. In this study, the multilayer perceptron neural network...

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التفاصيل البيبلوغرافية
المؤلفون الرئيسيون:	Ibrahim K.S.M.H., Huang Y.F., Ahmed A.N., Koo C.H., El-Shafie A.
مؤلفون آخرون:	57225749816
التنسيق:	مقال
منشور في:	Springer 2024
الموضوعات:	Adaptive neuro-fuzzy inference system (ANFIS) Extreme Gradient Boosting (XG-Boost) Grid Search optimizer Hyper-parameters Inflow Forecast Machine learning Multilayer Perceptron neural network (MLPNN) Support Vector Regression (SVR) Adaptive boosting Decision making Forecasting Fuzzy inference Fuzzy neural networks Fuzzy systems Multilayer neural networks Multilayers Reservoirs (water) Water resources Adaptive neuro-fuzzy inference Adaptive neuro-fuzzy inference system Extreme gradient boosting (XG-boost) Gradient boosting Grid search Grid search optimizer Hyper-parameter Inflow forecast Machine-learning Multilayer perceptron neural network Multilayers perceptrons Neuro-fuzzy inference systems Perceptron neural networks Search optimizer Support vector regression Support vector regressions
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Forecasting multi-step-ahead reservoir monthly and daily inflow using machine learning models based on different scenarios

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