Grupo de Ciencia e Técnica Cibernética (CTC)
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Bioinspired hybrid model to predict the hydrogen inlet fuel cell flow change of an energy storage system
(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
(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
(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
(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
(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 ...
