Recent Submissions

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

    Alaiz Moreton, Héctor; Jove, Esteban; Casteleiro-Roca, José-Luis; Quintián, Héctor; López García, Hilario; Benítez-Andrades, José Alberto; Novais, Paulo; Calvo-Rolle, José Luis (MDPI, 2019-11-07)
    [Abstract]: 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 ...
  • Fuel cell hybrid model for predicting hydrogen inflow through energy demand 

    Casteleiro-Roca, José-Luis; Barragán, Antonio Javier; Segura Manzano, Francisca; Calvo-Rolle, José Luis; Andújar-Márquez, José Manuel (MDPI, 2019-11-10)
    [Abstract]: Hydrogen-based energy storage and generation is an increasingly used technology, especially in renewable systems because they are non-polluting devices. Fuel cells are complex nonlinear systems, so a good model ...
  • Sistema híbrido inteligente para la predicción de tensión de una pila de combustible basada en hidrógeno 

    Casteleiro-Roca, José-Luis; Barragán, Antonio Javier; Segura Manzano, Francisca; Calvo-Rolle, José Luis; Andújar-Márquez, José Manuel (Comité Español de Automática, CEA, 2019)
    [Resumen]: Por razones de sostenibilidad y estrategia energética, entre otras, existe en la actualidad una tendencia clara hacia el uso de nuevas formas de obtención, almacenamiento y gestión de energía, más eficientes y ...
  • A fault detection system for a geothermal heat exchanger sensor based on intelligent techniques 

    Alaiz Moreton, Hector; Castejon Limas, Manuel; Casteleiro-Roca, José-Luis; Jove, Esteban; Fernández-Robles, Laura; Calvo-Rolle, José Luis (MDPI, 2019-06-18)
    [Abstract ]:This paper proposes a methodology for dealing with an issue of crucial practical importance in real engineering systems such as fault detection and recovery of a sensor. The main goal is to define a strategy ...
  • Delving into Android Malware Families with a Novel Neural Projection Method 

    Vega-Vega, Rafael A.; Quintián, Héctor; Cambra, Carlos; Basurto, Nuño; Herrero, Alvaro; Calvo-Rolle, José Luis (Willey-Hindawi, 2019)
    [Abstract] Present research proposes the application of unsupervised and supervised machine-learning techniques to characterize Android malware families. More precisely, a novel unsupervised neural-projection method for ...

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