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UBITECH’s manuscript on personalized energy management has been accepted for publication at the Sensors MDPI Journal

Following a peer-review process, Sensors MDPI Journal has accepted to publish a scientific manuscript, authored by UBITECH, University of Murcia and STI Innsbruck, entitled “Providing Personalized Energy Management and Awareness Services for Energy Efficiency in Smart Buildings”. Eleni Fotopoulou, Tassos Zafeiropoulos, George Tsiolis, Panagiotis Gouvas and their co-editors present an innovative energy-aware information technology ecosystem, which supports the design and development of novel personalized energy management and awareness services that can lead to occupants’ behavioral change towards actions that can have a positive impact on energy efficiency.

Novel information and communication technologies are exploited towards this direction, related mainly to the evolution of the Internet of Things (IoT), data modeling, management and fusion, big data analytics, and personalized recommendation mechanisms. The combination of such technologies, combined with the identified main energy consuming factors, trends, and patterns, along with the appropriate modeling and understanding of the occupants’ behavior and the potential for the adoption of environmentally-friendly lifestyle changes, has resulted in an open and extensible architectural approach able to exploit in a homogeneous, efficient and scalable way the vast amount of energy, environmental, and behavioral data collected in energy efficiency campaigns and lead to the design of energy management and awareness services targeted to the occupants’ lifestyles.

Sensors (ISSN 1424-8220; CODEN: SENSC9) is the leading international, peer-reviewed, open access journal on the science and technology of sensors and biosensors (Impact Factor: 2,677 for 2016; 5-Year Impact Factor: 2,964 for 2016) and is published monthly online by MDPI. The aforementioned manuscript, that can be accessed here, is an open access article distributed under the Creative Commons Attribution License (CC BY 4.0) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.