Imagine having a smart assistant that manages your home appliances to save money and energy without you having to do the hard work. It uses a digital twin—a virtual copy of your home—to predict energy needs and suggest the best times to use power. It's like having a professional energy manager in your pocket that talks to your devices automatically.
Energy consumers struggle to adopt digital tools because they are too complex or lack clear value. This prevents the energy transition from moving faster at the household level.
A federated data platform featuring blockchain-based security, AI-driven energy assistants, and a library of 70+ domestic energy service models.
If you are an electricity provider dealing with unpredictable peak demand—this project developed AI assistants and NLP tools that help consumers shift their energy use. This reduces grid strain and improves customer satisfaction across 6 EU countries.
If you are a device manufacturer dealing with low user engagement for energy-saving features—this project developed a library of over 70 domestic energy services. This allows your products to integrate into a wider, data-driven energy ecosystem.
If you are a software developer dealing with data security and interoperability issues—this project developed a trusted data exchange layer using blockchain and Merkle-tree proofs. This ensures secure, verifiable energy data sharing between users and providers.
Based on available project data, specific pricing models are not mentioned, but the project surveyed over 1,000 users to understand their willingness to pay.
Yes, the project is designed for industrial scale, demonstrating solutions in 6 different EU countries and targeting a high TRL 6-7.
Based on available project data, the team has already open-sourced a middleware library that anchors data on the blockchain.
It uses a federated data platform with REST/GraphQL APIs and a semantic integration server to ensure different systems can talk to each other.
The project runs from July 2024 to December 2031, with technical solutions reaching TRL 6-7 by the end of the period.
The consortium is heavily weighted toward practical application, with 22 partners including 9 industry players (41% ratio) and 3 SMEs. This mix of 7 universities and 6 research centers ensures that the high-tech components (AI, Blockchain) are balanced by commercial viability and real-world testing in 9 different countries.
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Contact us to connect with the EU-DREAM consortium for pilot integration.
