Energy

Interoperability for Big Data to Drive AI into Buildings?

Few places in the world have a more challenging mix of climate politics and aging building stock than Europe. In an effort to meet its various climate goals, the European Union has instigated, funded, and supported a wide variety of projects designed to reduce the impact of buildings on the environment. In this research note, we take an in-depth look at one such project, MATRYCS, which seeked to harness the power of big data to drive artificial intelligence into building energy management. MATRYCS is a co-funded European project focussed on the utilization of Big Data and AI to decrease energy consumption in buildings. The most notable outcome of the project is the MATRYCS Modular Toolbox, which enables a framework for modeling, decision-making, big data analytics, and visualizations in smart building management and digital twins. The toolbox essentially delivers an open reference architecture for buildings, which aligns popular BDVA SRIA, FIWARE architecture, as well as SAREF, […]

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