Project description
Smart energy coordination for greener buildings
Buildings consume 40 % of energy in the EU, making their efficient management crucial for achieving the European Green Deal. Supported by the Marie Skłodowska-Curie Actions programme, the BRAIN offers a solution to the current inefficiencies, providing an innovative approach through the creation of the world’s first AI-based framework for the joint operation of the energy management system and the battery management system. Currently, the two systems work independently, leading to accelerated battery degradation and the loss of renewable energy. By using deep learning methods and control algorithms, BRAIN incorporates the condition of the battery directly in the energy scheduling process. The proposed solution is expected to reduce household expenses by 15 % and prolong battery lifespan by 20 %.
Objective
Buildings account for ~40% of final energy use and 36% of CO2 emissions in the EU, making them critical for achieving the European Green Deal targets. Today, Energy Management Systems (EMS) optimise energy costs while Battery/Building Management Systems (BMS) ensure safety, but they work separately. This leads to inefficient energy use, faster battery degradation, and higher emissions. As EU flexibility needs are expected to more than double by 2030, there is an urgent need for intelligent EMS–BMS coordination that integrates renewable generation, storage, and digital optimisation.
The BRAIN fellowship (Battery-informed Resilient Energy Scheduling Framework for EMS-BMS Coordination in Smart Buildings) will develop the first integrated, AI-driven EMS–BMS coordination framework for smart buildings. The approach combines: (i) multi-task deep learning forecasting of load, PV, and battery health, (ii) EMS optimisation using hybrid Model Predictive Control and Deep Reinforcement Learning with explicit battery health constraints, (iii) privacy-preserving synthetic datasets enabling reproducible and GDPR-compliant research, and (iv) validation on real-world data.
By embedding battery health into EMS decisions, BRAIN will reduce household energy bills by 10–15%, extend battery lifetimes by 20%, and increase PV self-consumption by up to 20%. Scientifically, it will deliver 7 peer-reviewed journal and conference papers, 2 open FAIR datasets, and an open-source EMS–BMS toolkit. Societally and economically, the project will contribute to lower emissions, reduced e-waste, and affordable clean energy, while strengthening Europe’s leadership in the €250B global smart building market.
BRAIN directly supports the European Green Deal, the MSCA Green Charter, and A Europe Fit for the Digital Age, creating measurable impact in science, industry, and society.
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Keywords
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Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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HORIZON.1.2 - Marie Skłodowska-Curie Actions (MSCA)
MAIN PROGRAMME
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Topic(s)
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Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
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Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
HORIZON-TMA-MSCA-PF-EF - HORIZON TMA MSCA Postdoctoral Fellowships - European Fellowships
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Call for proposal
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(opens in new window) HORIZON-MSCA-2025-PF
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9220 Aalborg
Denmark
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