Daily Water Flow Forecasting via Coupling Between SMAP and Deep Learning

Daily Water Flow Forecasting via Coupling Between SMAP and Deep Learning

Hydrological models are essential tools to forecast daily water resources' availability, which are used to plan the short-term electrical systems' operation. However, there is a trade-off when choosing a given model. Complex models may provide good results depending on very complicated ana...

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Bibliographic Details
Main Authors: Guilherme M. Maciel, Vinicius Albuquerque Cabral, Andre Luis Marques Marcato, Ivo C. Silva Junior, Leonardo De M. Honorio
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Deep learning
hydrological model
runoff forecasting
soil moisture accounting procedure
Online Access:https://ieeexplore.ieee.org/document/9250453/

Internet

https://ieeexplore.ieee.org/document/9250453/

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