Dear Colleagues,
The energy transition is transforming electricity markets—introducing new actors, complex interactions, and unprecedented uncertainty. How can we effectively model the complex dynamics of future electricity systems dominated by renewable energy? What roles do agent-based simulations and deep reinforcement learning play in predicting bidding strategies and market behavior? How can we accurately model demand-side flexibility and analyze grid integration challenges?
Join us at the final ASSUME ( https://assume-project.de/) Workshop on 9 July 2025 (09:00 – 16:30 CEST, Online via Zoom, multiple sessions) to explore our practical, hands-on approaches to these questions.
Agenda Snapshot (all times CEST)
09:00 – 09:30 Opening Session
• Why simulation tools matter
• Project overview & lightning talks
• Speakers: Prof. Dr. Anke Weidlich & ASSUME team
09:30 – 11:00 Session 1 – Adaptive Behaviour in Zero-Marginal-Cost Systems
Lead: Kim Miskiw
Format: 20 min scientific talk + 70 min hands-on in Colab
13:00 – 14:30 Session 2 – Industrial Demand-Side Management Modelling
Lead: Manish Khanra
Format: 20 min scientific talk + 70 min hands-on in Colab
15:00 – 16:30 Session 3 – Redispatch Modelling & Network Integration
Lead: Parag Patil
Format: 20 min scientific talk + 70 min hands-on in Colab
Sessions are modular—feel free to join the ones most relevant to you, though we strongly recommend the Opening Session for essential context.
Why participate?
- Hands-on learning: Test and build agent-based market simulations using interactive notebooks (Google Colab).
- Real-world applications: Explore scenarios including zero-marginal-cost markets, industrial flexibility, and redispatch for grid stability.
Register now
- Reserve your seat via this registration link
- After registering, you will receive a confirmation email with the Zoom meeting link. Additional event details will be shared a few days before the workshop.
Full agenda & talk abstracts are attached to the email.
Please feel free to share this invitation with interested colleagues. We look forward to welcoming you online!
Best regards,
Nick Harder
On behalf of the ASSUME team