Short-term wind power forecast based on cluster analysis and artificial neural networks

[EN]In this paper an architecture for an estimator of short-term wind farm power is proposed. The estimator is made up of a Linear Machine classifier and a set of k Multilayer Perceptrons, training each one for a specific subspace of the input space. The splitting of the input dataset into the k clusters is done using a k-means technique, obtaining the equivalent Linear Machine classifier from the cluster centroids...

First evidences of the effect of polyunsaturated fatty acids in fish neural activity and their implications in behaviour

Programa de doctorado: Acuicultura: producción controlada de animales acuáticos; Grupo de Investigación en Acuicultura (GIA)