Subproject: Energy data and AI algorithms for risk analysis of energy supply.

While there is a high level of interconnectedness between all actors in the electrical transmission grid due to the system (cf. ENTSO-E), the distribution grid with its more than 800 independent operating companies represents a system that is difficult to observe. Here, OFFIS would like to contribute to the support of quantitative risk assessment for sectors particularly affected by interruptions in the power supply (esp. healthcare and industry).

The PAIRS project is developing a distributed platform of federated data providers and marketplace (AI) services based on cloud technologies to detect, forecast and avert crisis situations. Concrete applications are being developed for the domains of health, production, energy supply and logistics.

OFFIS contributes a use case for the domain energy supply and thus the detection of exceptional and crisis situations in the distribution network to the PAIRS project. This activity contributes flanking to the GAIA-X Use Case Redispatch 3.0, whose facets include a significantly broadened data basis for determining the state of the grid. While this is state of the art in transmission grids due to cross-border cooperation within ENTSO-E, the information situation in the distribution grid is still much more fragmented today.

Integration with the GAIA-X infrastructure not only promotes broad (expert) public access to developed methods and data, but also lays the foundation for numerous other industry-specific, affordable services and networked data for SMEs.

• Prototype GAIA-X data node
• Scalable data stream processing