If innovation is to scale, data must speak a common language. That has been the guiding principle behind the work on Data Management, Interoperability, Sharing and AI Analytics within DIGITISE.
Building the Data Backbone
Over the past months, we have focused on building the data backbone that will power secure, interoperable and intelligent digital energy services. At the heart of this effort lies the first version of the DIGITISE Semantic Data Model, a semantic foundation capable of supporting cross-domain interoperability. By aligning open standards from the energy, health and finance sectors, and extending them with concepts tailored to flexibility markets and storage systems, we created a shared vocabulary across domains. This unified language ensures that diverse data sources can connect, interact and evolve together, supporting long-term scalability and reuse across the DIGITISE ecosystem.
But a common language is only the beginning. We also developed the mechanisms that allow data to flow safely and meaningfully. Flexible data ingestion pipelines now handle batch uploads, API exchanges and real-time streams from household assets, distributed energy resources and external platforms. These are reinforced by governance services that validate data quality, apply semantic mapping and enforce consistency. In parallel, the first version of the DIGITISE data space introduced structured search and exploration tools, a marketplace framework for managing data access agreements and fine-grained security based on user-defined access policies and privacy preferences.
With this trusted infrastructure in place, intelligence could emerge. Initial AI-driven analytics services were developed to support energy demand and generation forecasting, flexibility estimation and even non-energy insights such as comfort and occupancy profiling. All components are integrated into a scalable execution environment with automated deployment and integration workflows, ensuring that innovation is not only designed, but ready to operate.
That’s how we form the digital spine of DIGITISE: a robust, privacy-aware and interoperable ecosystem where data becomes insight, insight becomes action, and digital energy services become truly intelligent and user-centered.
Meet our Experts’ Team
The Data Management, Interoperability and AI Analytics activities were led by SUITE5, an Information Technology Solutions and Services SME, bringing strong expertise in data platforms, semantic technologies and AI-driven systems. Working closely with DIGITISE partners, the team ensures that we are not simply building a technical infrastructure, but developing a secure, interoperable and scalable data ecosystem.
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