ATOM in The Twelfth International Conference on Information, Intelligence, Systems and Applications (IISA 2021)

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IISA 2021 is the twelfth conference in the IISA series, technically co-sponsored by IEEE, the University of Piraeus and the Hellenic Mediterranean University. The International Conference on Information, Intelligence, Systems and Applications (IISA) series offers a forum for the constructive interaction and prolific exchange of ideas among scientists and practitioners from different research fields – such as computers, mathematics, physics, biology, medicine, chemistry, experimental psychology, social sciences, linguistics, and engineering – having the goal of developing methodologies and tools for the solution of complex problems in artificial intelligence, biology, neuroscience, security, monitoring, surveillance, healthcare, sustainability in energy sources, governance, education, commerce, automation, robotics, optimization, image, speech and natural languages, and their integration.

ATOM presented the Innovative Personalised Applications to Motivate and Support Behavioural Energy Efficiency in an invited session on "Big Data Analytics in the Energy Sector", in Chania, Greece, on July 12-14, 2021.

In particular, under the Energy Efficiency Directive (2012/27/EU) energy companies have to achieve yearly energy savings up to 1.5% of annual sales to final consumers. Although buildings’ occupants and energy end-users seem to be gaining greater awareness of the value and need for sustainable energy practices, they do not behave in a more energy-conscious way. Existing solutions tend to be complicated, excluding buildings’ occupants from the process of understanding how the building works in terms of energy efficiency. This study presents a suite of user-centered applications, which will empower energy end-users to engage in achieving energy efficiency, using an open, secure, privacy-respectful, configurable, scalable cloud based big data infrastructure. This multi-disciplinary big data environment will integrate heterogeneous types of data, combined with emerging machine learning algorithms, distributed ledgers, blockchain technologies and a digital reward scheme through an alternative currency. These tools provide a “user – centric” framework for energy companies, local and regional authorities and third parties to empower energy end-users to take an active attitude in their energy usage. The proposed framework aims at transforming the social environment in a building to make people aware of the value of energy, and the importance of their collaboration, unlocking a potential for 12TWh energy saved in Europe.

You can read the publication here:

Innovative Personalised Applications to Motivate and Support Behavioural Energy Efficiency