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Most of today's commercial companies heavily rely on social media and community management tools to interact with their clients and analyze their online behaviour. Nonetheless, these tools still lack evolved data mining and visualization features to tailor the analysis in order to support useful marketing decisions. We present an original methodology that aims at formalizing the marketing need of...
In this paper, a model for traffic jam prediction using data about traffic, weather and noise is presented. It is based on data coming from a Smart City in Spain called Santander. The project in this city is called ”Smart Santander” and provides a platform for large-scale experiment based on realtime data. This paper demonstrates the possibility of predicting traffic jams and is a basis to integrate...
The building energy consumption represent 60% of total primary energy consumption in the world. In order to control the demand response schemes for residential users, it is crucial to be able to predict the different components of the total power consumption of a household. This work provide a non intrusive identification model of devices with a sample frequency of one hertz. The identification results...
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