Bioinspired hybrid model to predict the hydrogen inlet fuel cell flow change of an energy storage system

The present research work deals with prediction of hydrogen consumption of a fuel cell in an energy storage system. Due to the fact that these kind of systems have a very nonlinear behaviour, the use of traditional techniques based on parametric models and other more sophisticated techniques such as...

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Detalhes bibliográficos
Autor principal: Alaiz-Moretón, Héctor (author)
Outros Autores: Jove, Esteban (author), Casteleiro-Roca, José-Luis (author), Quintián, Héctor (author), López García, Hilario (author), Benítez-Andrades, José Alberto (author), Novais, Paulo (author), Calvo-Rolle, Jose Luis (author)
Formato: article
Idioma:eng
Publicado em: 2019
Assuntos:
fuel cell
hydrogen energy
intelligent systems
hybrid systems
Artificial Neural Networks
power management
Science & Technology
Texto completo:http://hdl.handle.net/1822/62343
País:Portugal
Oai:oai:repositorium.sdum.uminho.pt:1822/62343

Texto Completo

http://hdl.handle.net/1822/62343

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