Related Projects
MATRYCS
MATRYCS aims to combine existing modern technological breakthroughs in the areas of machine learning, deep learning and big data in order to develop a new decision-making and data analysis solution for energy-efficient building. It will do this through the creation of an AI-powered framework. The overall vision of MATRYCS is to develop 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).
BIGG
The BIGG project will analyse the complete building life-cycle using big data technologies and data analytic techniques. More than 4000 buildings at 6 pilot sites in Spain and Greece will be analysed during the project. Ultimately, BIGG aims to increase the share of renewable energy sources (RES) in buildings by providing an estimate of the expected energy savings that will result from renovations.
EXCESS
The EXCESS project showcases how nearly-zero energy buildings can be transformed into positive energy buildings (PEB). Via four demo buildings spanning across four European Climate Zones (Nordic, Continental, Oceanic and Mediterranean), EXCESS seeks to test, validate and share PEB solutions with potential replicability across Europe. The four innovative demonstration projects are located in Belgium, Spain, Austria and Finland, and are introducing technical solutions that enable buildings to produce more renewable energy than they consume over the course of a year.
BEYOND
The BEYOND project will develop a Big Data management platform with an advanced artificial intelligence (AI) analytics toolkit, which will allow for the acquisition of derivative data and intelligence, in addition to real-life building data and relevant data from external sources. Access to this type of advanced data analytics can allow building and market actors to integrate and improve their value chain.
ePANACEA
The objective of the ePANACEA project is to develop a holistic methodology for energy performance assessment and certification of buildings by creating a prototype (the Smart Energy Performance Assessment Platform) which makes use of the most advanced techniques in dynamic and automated simulation modelling, big data analysis and machine learning, inverse modelling or the estimation of potential energy savings and economic viability check.. ePANACEA's vision is to become a relevant instrument in the European energy transition through the building sector.
DigiBUILD
DigiBUILD will provide an open, interoperable and cloud-based toolbox to transform current ‘silo’ buildings into digital, interoperable and smarter ones, based on consistent and reliable data, supporting better-informed decision-making for performance monitoring & assessment, planning of building infrastructure, policy making and de-risking investments.
MODERATE
MODERATE aims to connect data providers with other building stakeholders by improving interoperability between datasets, by making use of data from different providers and aims to develop services based on data analytics that can transform raw data into knowledge for end-users.