• A detailed review of existing iGFB technologies and their associated costs. It identified key communication protocols and standards necessary for integration and interoperability within and between buildings. The results were documented in Deliverable D2.1 submitted in month 6, titled "SOTA Analysis, Barriers, Regulatory Framework, and End-Users’ Requirements
•development of real time controller (RTC) at the building level of W-IBRA to ensure the precise execution of optimal iGFB operation schedules generated by the intelligent applications within the WeForming Operational Framework
•a first integrated version of AI/ML functionalities for intelligent energy asset management within iGFBs. A transformer-based forecasting model has been deployed and validated on high-resolution sensor and smart meter data, enabling accurate short-term energy demand prediction. This capability supports predictive and adaptive control •across building energy systems. In parallel, a hybrid control framework has been initiated, combining model-based stochastic Model Predictive Control (MPC) with Deep Reinforcement Learning (DRL). This integration addresses complex, multi-objective optimization challenges across interconnected assets such as PV systems, batteries, heat pumps, and EV chargers.
• Six distinct Digital Twins were identified across the six demonstration sites, each at different stages of development and operationality, covering a wide range of multi-energy, multi-user, multi-sector, multi-market, and multi-horizon simulation processes
•establishment of the necessary semantic infrastructure to support this integration, in particular the review of IFC (Industry Foundation Classes), as the most relevant standard for BIM (Building Information Modelling), followed by an initial assessment of existing digital models towards a harmonized data framework for the future integration with W-IBRA framework.
• Analysing ontologies, and standards relevant to the building–grid interactive interface. Particular emphasis was given to the semantic alignment between Industry Foundation Classes (IFC) schema and the Smart readiness indicator framework (SRI), to identify conceptual gaps related to the controllability, connectivity, and interoperability of iGFBs. These gaps are critical to ensuring seamless integration of iGFB digital models into energy network operations and associated market mechanisms.
•a structured approach to extend the SRI assessment framework by adapting it to reflect the dynamic characteristics of iGFBs
• WeForming Reference architecture the so-called W-IBRA (v1.0 v2.0).
•WeForming data space package entailing (WeForming Middleware, WeForming data space connector and the surrounding components).
• a participatory co-creation protocol, designed to improve collaboration among stakeholders. Co-creation workshops will be conducted during the demo phase at demonstration sites, bringing together groups of users to explore real-world applications, such as energy management apps.
•11 developed viable business models that provide services to or thourgh the grid
• 4 business models developed following Product as a Service scheme, following circularity of the product
