Effectiveness of three machine learning models for prediction of daily streamflow and uncertainty assessment

Effectiveness of three machine learning models for prediction of daily streamflow and uncertainty assessment

This study evaluates three Machine Learning (ML) models—Temporal Kolmogorov-Arnold Networks (TKAN), Long Short-Term Memory (LSTM), and Temporal Convolutional Networks (TCN)—focusing on their capabilities to improve prediction accuracy and efficiency in streamflow forecasting. We adopt a data-centric...

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Bibliographic Details
Main Authors: Luka Vinokić, Milan Dotlić, Veljko Prodanović, Slobodan Kolaković, Slobodan P. Simonovic, Milan Stojković
Format: Article
Language:English
Published: Elsevier 2025-05-01
Series:Water Research X
Subjects:
TKAN
Uncertainty
Machine learning
Streamflow
Time series forecasting
Online Access:http://www.sciencedirect.com/science/article/pii/S2589914724000860
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