MAS4TE Progress Update

Connecting Digital Twins and Multi-Agent Systems

The MAS4TE consortium continues to advance the integration of digital twins and multi-agent technologies within its simulation framework.

The Battery Group has successfully connected the battery simulation to REST/MQTT and FIWARE, enabling seamless communication across components. Both the small and large Climate Cities batteries are now being modelled as digital twins for inclusion in the upcoming MAS4TE demo. Work is also ongoing to obtain the necessary API access for full interoperability.

Meanwhile, the Multi-Agent and ASSUME Group is focusing on linking agent-based market interactions with physical asset simulations through MQTT. The team is defining Pydantic models to support buying, selling, and transaction processes, while also developing a first user interface for the Consumer Agent. Discussions explored how ASSUME can manage time progression across assets—either as a global simulation clock or by reading each asset’s internal state.

Further integration between AI and ASSUME is also progressing, with new MQTT connections and Pydantic models being developed to link intelligent agents and battery simulations.

These milestones mark an important step toward demonstrating MAS4TE’s full end-to-end architecture, combining digital twins, multi-agent systems, and AI to drive the next generation of smart energy simulations.