With the advancement of technology, vast time related databases are created from a
plethora of processes. Analyzing such data can be very useful, but due to the large volumes …

With the advancement of technology, time series data are automatically collected without
human intervention. As the data collection process becomes effortless, the next change …

Clustering is commonly used to group data in order to represent the behaviour of a system
as accurately as possible by obtaining patterns and profiles. In this paper, clustering is …

This paper presents the procedure of building a dynamic predictive model using an artificial
neural network to perform an iterative forecast. An algorithm is proposed and named as …

Nowadays, for electricity operators it is crucial to get a balance between generation &
distribution of energy versus current demand, so a better characterization of load profiles …

En esta memoria se presenta el diseño y aplicación de una metodología basada en la
clusterización de series de tiempo utilizando modelos de variables latentes para …

Nowadays, for electricity operators it is crucial to get a balance between generation &
distribution of energy versus current demand, so a better characterization of load profiles …