Comparison of Machine Learning Models for Real-Time Flow Forecasting in the Semi-Arid Bouregreg Basin

Comparison of Machine Learning Models for Real-Time Flow Forecasting in the Semi-Arid Bouregreg Basin

Morocco is geographically located between two distinct climatic zones: temperate in the north and tropical in the south. This situation is the reason for the temporal and spatial variability of the Moroccan climate. In recent years, the increasing scarcity of water resources, exacerbated by climate...

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Bibliographic Details
Main Authors: Fatima Zehrae Elhallaoui Oueldkaddour, Fatima Wariaghli, Hassane Brirhet, Ahmed Yahyaoui, Hassane Jaziri
Format: Article
Language:English
Published: MDPI AG 2025-03-01
Series:Limnological Review
Subjects:
flow forecasting
time series
machine learning
Random Forest model
SVR model
XGBoost model
Online Access:https://www.mdpi.com/2300-7575/25/1/6
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