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UBITECH undertakes the architectural and technical lead of the new H2020 research project ENTROPY on energy-aware behavioral changes towards energy efficient lifestyles

UBITECH has actively participated in the kick-off meeting, in Murcia, Spain (September 22-23, 2015) of the ENTROPY research project, officially started on September 1st, 2015. The project is funded by European Commission under Horizon 2020 Programme (Grant Agreement No. 649849) and spans on the period September 2015 – August 2018. The focus of ENTROPY is the design and development of an innovative IT ecosystem for motivating end-users’ behavioural changes towards the adoption of energy efficient lifestyles, building upon the evolvements in the Internet of Things, Data Modeling and Analysis and Recommendtion and Gamification eras.

Internet of Things technologies are exploited for the proper and energy efficient interconnection of a heterogeneous set of sensor nodes, the collection of data based on Mobile Crowd Sensing Mechanisms exploiting the power of the collection of data from a critical mass of interested people and the application of proper communication networking schemes with regards to data collection. Advanced Data Modeling and Analysis techniques are applied for the modeling of the collected data and the extraction of advanced knowledge by exploiting the power of Linked Data and Data Analytics. Focus is given on the development of personalised mobile applications and games targeted at providing energy related information to end users, triggering social interaction with relevant users, increasing their awareness with regards to ways to achieve energy consumption savings in their daily activities and adopt energy efficient lifestyles based on a set of recommendations and motives targeted to their culture.

In ENTROPY, UBITECH is responsible for the architectural and technical lead of the project and for the specification of the ENTROPY semantic models that will enable the modeling, aggregation and fusion of the sensory and crowdsourcing data, as well as for the implementation of Linked Data transformation, enrichment, linkage, generation, mining and analytics mechanisms and the overall coordination of the integration activities of the project.