Thanks to the built in intelligence (deployment of new intelligent devices and sensors in places where historically they were not present), the Smart Grid and Microgrid paradigms are able to take advantage from aggregated load forecasting, which opens the door for the implementation of new algorithms to seize this information for optimization and advanced planning. Therefore, accuracy in load forecasts will potentially have a big impact on key operation factors for the future Smart Grid/Microgrid-based energy network like user satisfaction and resource saving, and new methods to achieve an efficient prediction in future energy landscapes (very different from the centralized, big area networks studied so far). This paper proposes different improved models to forecast next day's aggregated load using artificial neural networks, taking into account the variables that are most relevant. In particular, seven models based on the multilayer perceptron will be proposed, progressively adding input variables after analyzing the influence of climate OPEN ACCESSEnergies 2013, 6 2928 factors on aggregated load. The results section presents the forecast from the proposed models, obtained from real data.

In modern video conferencing services, just as in common video delivery, most of the resource optimization is taken care of in the codec layer. Modern codecs like H.264 use detailed perceptual models to optimize the data reduction in way that it is least noticed by us. Already early evaluations of telecommunication systems could establish that there are different thresholds for a good quality depending on the situation. It is further known that subjective quality perceptions vary from user to user. But the space of user and context factors is still largely unexplored. To gain insight in which parameters are key in differentiating quality perception, we need to explore the interaction in different situations while keeping a tight control over the system parameters. In this paper we explore how clustering participants by their interaction or rating behavior can reveal subgroups that show significantly different perception of the QoE delivered by the same videoconferencing system. While for a cluster of users we find video quality to influence other QoE dimensions such as audio, for another cluster this is not the case. We explore whether this effect is due to conversational dynamics (contextual factor) or individual preferences (user factor) and discuss what this would mean for the design of future video-conferencing systems, that want to dynamically adapt to situation and participants.

VI Preface presented their work during the conference. This way, innovative ideas from industry were combined with theoretical studies from academia, providing the reader a complete overview of the current state of the art in the field. Special thanks are due to Aalborg University (on behalf of EuroITV organization) for investing so much time and effort in providing a reliable and easy-to-use submission system. This year, without such a system, it would have been impossible to handle the 80 submissions for the conference.Out of the 80 submissions, 24 articles (30% acceptance rate) were selected for this volume. Each of the papers was reviewed by at least three members

Este artículo parte de problematizar la exclusión educativa en Latinoamérica. Si bien el Derecho a la Educación se ha instalado en la agenda de los países  de la región y se ha transformado también en una de las metas de la política educativa desde inicio del tercer milenio, en Latinoamérica todavía existen múltiples excluidos. Se presentan una síntesis de legislación vigente en un grupo de países de la región y se presentan las características que asume en ellos la desigualdad social y educativa. Este artículo se basó en la lectura y sistematización de legislación educativa vigente y análisis de información estadística de Argentina, Bolivia, Chile, Ecuador, Paraguay, Perú y Uruguay.

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