AI-based Energy Trading Workshop

Scope: The increasing decentralization, volatility, and complexity of modern energy systems are driving the need for building intelligent trading mechanisms that are capable of operating autonomously in dynamic market environments. With this scope, AI (Artificial Intelligence) provides instruments to enhance energy trading through intelligent and adaptive decision-making, predictive analytics, and automated market participation. On this behalf, this Workshop addresses recent and future AI-based energy trading developments for building intelligent human-centred trading platforms for energy markets as part of the Interreg MAS4TE (Multi Agent Systems for Trading Energy on the Blockchain) Project. It does that by exploring Agentic AI and LLMs (Large Language Models)-based solutions that include strategies for negotiation, coordination, and market interaction among the agents, and assure an interoperable and efficient energy trading behaviour. Therefore, this Workshop aims to provide a platform for sharing insights and experiences of researchers and practitioners from this domain and build a community that further explores important directions in this domain.    

Workshop Chairs: Dr. Ir. Clara Maathuis and Prof. Dr. Stefano Bromuri from Open Universiteit, the Netherlands. 

Date and time: Wednesday, 21.10.2026 between 14:00 - 17:30.

Location: Maastricht University, Faculty of Science and Engineering in the PHS1 building. The main entrance of the building PHS1 is located at the address Gaetano Martinolaan 10. The building is a 5-10 minute walk from train station Maastricht-Randwyck. You can find more information here: https://www.maastrichtuniversity.nl/bnaic2026/venue-and-travel 

Room: B0.003. 

Agenda: 

-         14:00 - 14:15: Session opening by the Chairs.

-         14:15 - 14:50: Guest Speaker on AI & Blockchain: Associate Prof. Dr. Visara Urovi, Maastricht University.

-         14:50 - 15:10: AI Agents and Energy Markets by Dr. Bea Waelbers and Christoph Komanns from Open Universiteit and FH Aachen University.

-         15:10 - 15:30: Interactive Demo 1 on AI-based Energy Trading by Dr. Bea Waelbers from Open Universiteit.

-         15:30 - 16:00: Break with refreshments.

-         16:00 - 16:35: Guest Speaker on AI-based Energy Modelling: Ir. Yu Sheng, Open Universiteit.

-         16:35 - 16:55: Interactive Demo 2 on IoT and Energy Battery Simulation by Jana Pick, Muhammad Tayyab/Hamed Athari from FZ Juelich University.

-      16:55 - 17:15: Business Impact and Societal Positioning by Xue Li (Boosting Alpha) and Patrick Schumacher (Climate Cities).

-         17:15 - 17:30: Closing remarks by the Chairs.

Contact: In case that you are interested to know more information about the Workshop or join us, you can contact us out by e-mail at clara.maathuis@ou.nl and stefano.bromuri@ou.nl. 

Survey: In this research, we are conducting a survey on household preferences for local energy and storage trading. In case that you are interested to participate, you can use the following links:

• In English: https://ls.ou.nl/224459?lang=en 

• In Dutch: https://ls.ou.nl/224459?lang=nl 

• In French: https://ls.ou.nl/224459?lang=fr 

• In German: https://ls.ou.nl/224459?lang=de