MATRYCS aims to capitalise and combine existing modern technological breakthroughs in the areas of ML / DL and big data, in order to develop a new decision-making and data analytics solution for energy-efficient buildings. MATRYCS will realise a holistic, state-of-the-art AI-empowered framework for decision-support models, data analytics and visualisations for Digital Building Twins and real-life applications. The overall vision of MATRYCS is to define and deploy a Reference Architecture for Buildings Data exchange, management and real-time processing, and to translate this reference architecture into an Open, Cloud-based Data Analytics Toolbox (MATRYCS Modular Toolbox). It will enable AI-based cross-sector analytics for smart energy-efficient buildings through three layers, MATRYCS-GOVERNANCE, MATRYCS-PROCESSING and MATRYCS-ANALYTICS.
Eventually, MATRYCS will enable reliable and effective policymaking, as well as support the creation and exploitation of innovative services through the utilization of a wide variety of data, for the safe and effective operation of buildings.
MATRYCS service analytics reference framework will be applied, demonstrated and validated in 11 real-life large-scale pilots strategically selected to have multinational direction covering different regions and levels, such as regional, national and pan-European.