WP1 – Data‑driven cross‑sector services: WP1 delivered a survey report and a system architecture. The survey gathered responses from over 1,000 end users, providing insights into appliance controllability, barriers, and willingness to pay, and informing a layered architecture for data federation and standardised use-case templates. These inputs have been shared among the partners, in particular among the LL responsible partners, for compilation, ensuring interoperability and replicability.
WP2 – Digital Twins, AI assistant & NLP intermediator: WP2 produced a library of hierarchical DT models and the core DT infrastructure. This infrastructure comprises a multi-agent orchestrator, proxy, and APIs, enabling the dynamic orchestration of simulation and AI agents. A LightGBM forecasting model was selected, and the architectures for an AI‑based assistant and a NLP intermediator were drafted.
WP3 – Data‑sharing infrastructure, security & interoperability: WP3 developed a trusted data exchange layer using Hyperledger Besu and Merkle‑tree proofs, and open‑sourced a middleware library that anchors data on the blockchain. The team installed and configured a semantic integration server (DDIM), built data access services using MongoDB, InfluxDB, Kafka, and REST/GraphQL APIs, and set up identity and access management with Keycloak and an API gateway. These components will underpin the federated data platform in future phases.
WP4 – Digital platforms & tools: WP4 created a structured modelling framework covering more than 70 domestic energy services, designed a data structure for incorporation into the EU-DREAM Data Platform, and drafted prototypes for a simplified consumer platform and a peer‑to‑peer trading platform. A service taxonomy was defined, and interoperability with WP2 and WP3 modules was tested. Finally, gamification and learning concepts were co-designed with WP6.
WP5 – Market design & flexibility mechanisms: WP5’s activities have started, focusing on conceptual research and modelling frameworks for consumer behaviour and flexibility mechanisms. Research questions and methodologies have been defined, and a Python‑based model is under development.
WP6 – Social innovation and energy literacy: WP6 have devoted the reporting period to planning and coordination. A COM‑B/TDF survey was drafted to assess consumer motivations and capabilities, and preparatory work was completed to integrate social‑science insights into technical development. Major activities, including
co-creation workshops and energy literacy tools, will take place over the next period.
WP7 – Living Labs coordination & SSH intertwining: In RP1, six Living Labs (in Portugal, Belgium, Italy, Ireland, Greece, and Denmark) have been installed and assigned detailed use cases and KPIs. The labs are ready to test technical components in real environments, and LL2 is ready to collect direct consumer insights on consumer preferences through co-creation workshops.
