In the realm of modern innovation, big data has emerged as a transformative force, reshaping industries and transform decision-making processes. Two projects, BIGG and MATRYCS, funded under the Horizon 2020 program, both under the topic “Big data for buildings”, have similar objective to use of big data in the context of building energy efficiency.

The projects have similar objectives. Both projects have goal to set data reference architecture, both projects have appropriate module for interoperable building data and both have output as toolbox for front-end for services.

The BIGG project addresses the complex balance between energy consumption, cost, and occupant comfort in buildings. With a focus on over 4000 buildings in Spain and Greece, BIGG employs big data technologies, artificial intelligence and analytical techniques to optimize energy efficiency and integrate renewable energy sources. Through benchmarking, energy certification, and comprehensive building life-cycle management, BIGG showcases specific solutions. For instance, in Greece, BIGG enhances energy performance and occupant comfort in 17 commercial buildings by employing Energy Performance Contracting for precise control of HVAC and lighting systems.

The MATRYCS project offers a broader scope, capitalizing on the synergy between machine learning, deep learning and big data. MATRYCS envisions a holistic, AI-empowered framework applicable to diverse sectors. Its 11 large-scale pilots span various domains, such as building operation, refurbishment, district heating, and policy-making. An illustrative example is the Building Operation Pilot, where data-driven insights optimize facility management at a prominent commercial hub in Ljubljana, Slovenia. Another notable instance lies within the Energy Communities Pilot, which empowers users in Coopernico (Portugal) to efficiently manage self-production systems and enhance energy efficiency.

BIGG and MATRYCS stand as examples of the transformative power of big data in the domain of building energy efficiency. The projects contribute to the realization of a more sustainable and energy-efficient future for the built environment. Both projects have free git repository available: