This paper addresses the problem of energy consumption prediction using neural networks over a set of public buildings. Since energy consumption in the public sector comprises a substantial share of overall consumption, the prediction of such consumption represents a decisive issue in the achievement of energy savings. In our experiments, we use the data provided by an energy consumption monitoring system in a compound of faculties and research centers at the University of Granada, and provide a methodology to predict future energy consumption using nonlinear autoregressive (NAR) and the nonlinear autoregressive neural network with exogenous inputs (NARX), respectively. Results reveal that NAR and NARX neural networks are both suitable for performing energy consumption prediction, but also that exogenous data may help to improve the accuracy of predictions.

Describing user activity plays an essential role in ambient intelligence. In this work, we review different methods for human activity recognition, classified as data-driven and knowledge-based techniques. We focus on context ontologies whose ultimate goal is the tracking of human behavior. After studying upper and domain ontologies, both useful for human activity representation and inference, we establish an evaluation criterion to assess the suitability of the different candidate ontologies for this purpose. As a result, any missing features, which are relevant for modeling daily human behaviors, are identified as future challenges.

Este trabajo realiza una revisión sistemática para identificar los principales hallazgos reportados en la literatura científica sobre la percepción del estudiante universitario hacia la práctica de estrategias de gamificación en su proceso de aprendizaje. La búsqueda documental se ha llevado a cabo a partir de la triangulación de las publicaciones incluidas en las bases de datos “Web of Science” y “Scopus” durante el período 2010-2019. Tras aplicar los criterios de selección y calidad, se han identificado un total de 20 estudios como muestra final. Los resultados demuestran el interés creciente de la comunidad científica por plantear trabajos sobre gamificación en Educación Superior. Además, se corrobora una predisposición favorable en el alumnado hacia el desarrollo de experiencias didácticas innovadoras basadas en la gamificación. Entre sus potencialidades, destaca el aumento de la motivación, el interés y la participación del alumnado en el proceso de enseñanza-aprendizaje, así como la mejora del rendimiento académico y el desarrollo de las habilidades y competencias necesarias para su desarrollo profesional. This work performs a systematic review to identify the main findings reported in the scientific literature on the perception of the university student towards the practice of gamification strategies in their learning process. The documentary search was carried out based on the triangulation of the publications included in the "Web of Science" and "Scopus" databases during the period 2010-2019. After applying the selection and quality criteria, a total of 20 studies have been identified as the final sample. The results demonstrate the growing interest of the scientific community to propose works on gamification in Higher Education. Furthermore, a favorable predisposition in the students towards the development of innovative didactic experiences based on gamification is corroborated. Among its potential, the increase in motivation, interest and participation of students in the teaching-learning process stands out, as well as improving academic performance and developing the skills and competences necessary for their professional development