The program features 21 engaging talks covering a wide range of ABM topics, a poster session, four very relevant workshops, and numerous networking opportunities, including a boat tour, dinner, and informal interactions during breaks.
Time | Event | |
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Day 1 31.03 |
08:30 – 09:00 | Registration and put up your posters |
09:00 – 09:10 | Welcome notes by Prof. Dr. Dogan Keles, Technical University of Denmark | |
09:10 – 09:45 | Keynote: Influence of policy on investor behaviour in offshore wind energy by Prof. Dr. Lena Kitzing, Technical University of Denmark | |
09:45 – 10:00 | Coffee break | |
10:00 – 11:00 | Session I: Investigating market dynamics 1. Merit Order or Optimisation: Modelling Balancing Markets in Agent-Based Models by Jack Gower, The University of Sheffield 2. A Study of Anomalies in Bidding Behavior on European Spot Markets by Jilles De Blauwe, Technical University of Denmark 3. Building a case for the uncertain: Stochastic agents and their decisions by Stefan Strömer, Austrian Institute Of Technology |
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11:00 – 11:20 | Coffee break | |
11:20 – 12:00 | Session II: Demand flexibility 1. Agent-Based Modeling of Charging Infrastructure Needs by Hamoun Arabani, Lund University 2. EV owners’ price sensitivity by Fabian Brockmann, Norwegian School of Economics |
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12:00 – 13:30 | Lunch and Poster Session | |
13:30 – 14:30 | Session IIIa: Electricity grids 1. Smart Balancing and Power System Stability by Boyana Georgieva, University of Stuttgart 2. Dynamic Grid Charges in Distribution Grids by Jannis Eichenberg, Dresden University of Technology 3. Optimized Operation of Active Distribution Grids by Manuela Linke, Konstanz University of Applied Sciences Session IIIb: Technology adoption 1. Data to Decision: Low Carbon Technology Adoption by Matthias Heinrich, École Polytechnique Fédérale de Lausanne 2. Review-based Conceptual Models in Energy Modelling by Simon Johanning, Leipzig University 3. Developing collaboration and information-exchange modules to improve measures for a smart and resilient energy transition by Davy van Doren, IQIB |
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14:30 – 14:50 | Coffee break | |
14:50 – 15:50 | Session IVa: Green Hydrogen & Policies 1. Agent-based modelling of green hydrogen electrolysis covering the investment and dispatch perspective by Johannes Kochems, German Aerospace Center 2. Agent based modelling of the scale-up of green hydrogen production and electrolyzers manufacturing by Vinzenz Koning, Utrecht University 3. Decarbonizing Türkiye: Exploring Policy Impacts on EV and Hydrogen Diffusion Through Agent Based Modelling by Denizhan Guven, Istanbul Technical University Session IVb: Local Markets 1. HAMLET: An Agent-Based Testbench for the Detailed Interplay of Energy Systems and Markets by Markus Doepfert, Technical University of Munich 2. Analysis of RL-based Bidding Strategies in Local Electricity Markets utilizing DLMP by Sinem Kol, Özyeğin University – İstanbul 3. A Multi-agent based Approach for Energy Resource Management in energy communities by Bruno Ribeiro, Porto School of Engineering |
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17:30 – 18:30 | Copenhagen canal tour | |
19:00 | Conference dinner | |
Day 2 01.04 |
9:00 – 9:30 | Plenary talk: Coupling agent-based energy market models: benefits and limitations by Prof. Dr. Laurens de Vries |
09:30 – 10:50 | Session V: Model coupling & Reinforcement learning 1. Extending Agent-Based Simulation with FastAPI by Felix Nitsch, German Aerospace Center 2. PowerSUME Model Interface by Jonathan Stelzer, Karlsruhe Institute of Technology 3. Policy and Market Design using ADMM by Diana Krainer, Austrian Institute Of Technology 4. Multi-Electricity Market Modeling with Deep Reinforcement Learning by Viktor Zobernig, Austrian Institute Of Technology |
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10:50 – 11:00 | Wrap-up | |
11:00 – 11:20 | Coffee break | |
11:20 – 12:50 | Workshop Session I 1. How to build your dream agent-based framework? by Developers of ASSUME Framework 2. ATLAS – An agent-based simulation model of short-term electricity markets by RTE France |
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12:50 – 13:50 | Lunch | |
13:50 – 15:20 | Workshop Session II 1. Patterns in energy exchange data – which ones are expected, which ones are not? by IZES 2. Modelling flexibility options in agent based models by DLR, Fraunhofer ISI and KIT |
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15:20 – 16:00 | Coffee, cake and get together |
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Workshops
ATLAS – An agent-based simulation model of short-term electricity markets
Presented by Florent Cogen from RTE France
ATLAS – An agent-based simulation model of short-term electricity markets ATLAS is a modular electricity market model developed by the French Transmission System Operator RTE and aims at simulating European electricity markets, from day-ahead to real-time balancing markets. ATLAS is used by RTE for both market designs and prospective studies and provides a detailed representation of:
- Physical components of the system. This notably includes a wide range of generation and consumption technologies (thermal units with different types of fuel, hydro, storage or renewable units, etc.), each of them having specific operating constraints. In addition, the European network can be modeled at different scales, by modifying the number of nodes, transmission lines and market areas in the input dataset.
- Market actors (portfolios of generation and consumption assets, or entities such as System Operators), modeled using agents that are usually acting to maximize their profits under imperfect information. Indeed, ATLAS includes evolving forecasts of renewable generation and consumption, with agents possessing an approximate view that is periodically refined as real-time approaches.
- Sequential market processes resembling operational processes. In ATLAS, a market is comprised of the following steps: (1) an update of price and generation/consumption forecasts, (2) an order formulation step performed for each unit in the dataset, (3) a market clearing (similar to those of actual day-ahead and balancing markets) that activates orders and computes market prices, and (4) a portfolio optimization during which each agent seeks to respond to market activations while minimizing its generation costs.
This workshop would aim to showcase ATLAS, with both a general introduction and a close look at specificities that set ATLAS apart from other simulation models. It is targeted at electricity market modelers (both industrial and academics).
How to Build Your Dream Agent-Based Framework?
Presented by Nick Harder and Gunter Grim from University of Freiburg
Agent-based modeling frameworks often come with limitations—whether in flexibility, usability, or scalability. What if you could build one from scratch, exactly as you need it?
This workshop is an opportunity for you to shape the next generation of ABM frameworks. Through interactive discussions and group work, participants will share challenges, propose must-have features, and identify best practices to make ABM more powerful and accessible.
Your insights will directly contribute to the future development of ASSUME—a flexible agent-based simulation model for analyzing market dynamics. These ideas will be integrated into ADAPT, an upcoming initiative to expand and enhance ASSUME, making ABM easier to use and more adaptable across different applications.
Why Attend?
- Influence the future of ABM software by contributing to ASSUME’s next phase in the ADAPT project.
- Share your real-world challenges and help design practical solutions.
- Connect with other ABM practitioners to exchange best practices and innovative ideas.
- Get early insight into upcoming developments that could improve your own modeling work.
Patterns in energy exchange data – which ones are expected, which ones are not?
Presented by Henrik Mantke from IZES
In the BMWK-funded project “Analysis of bidding strategies and their influence on the electricity price in the EU internal market – BETS”, the project partners from the Karlsruhe Institute of Technology (KIT), Danmarks Tekniske Universitet (DTU) and the Institut für ZukunftsEnergie- und Stoffstromsysteme (IZES) are analyzing strategic bidding on electricity markets. In the workshop, intial results from bidding pattern analysis will be presented as an input of a guided curve discussion on normal and anormal patterns. There will be two short keynote presentations about different ways to analyse the data and the corresponding results. This impetus will lead to a lively discussion about the preparation of energy exchange data and analysis methods as well as the interpretation of data and found patterns. The goal is to find a sound and common understanding of how to interprete patterns in the data and how these patterns might reveal strategic bidding.
All those interested in the topic of energy markets, agent-based modeling and data analysis are welcome for participation!
Modelling Flexibility Options in Agent Based Models
Presented by Christoph Schimeczek (DLR), Manish Khanra (FHG ISI), Thorsten Weiskopf (KIT), Kristina Nienhaus (DLR), and Tim Signer (KIT)
We propose a workshop on the modelling of flexibility options in agent-based models for electricity markets and systems. This workshop aims at gathering insights on past, current, and upcoming modelling techniques and aspects with respect to flexibility options. We hope to obtain an overview of existing and possible new modelling techniques and aspects of flexibility options, with respect to their availability in models as well as their expected relevance in the near future of ABM in the electricity sector.
To this end, we kick-off the workshop with lightning talks featuring the representation of flexibility options in three distinguished open-source electricity market ABMs, namely AMIRIS, PowerACE, and ASSUME. Then, the participants split up in groups that work on separate boards, each addressing different aspects of flexibility option modelling. Topics for these boards could cover, e.g.,
- Large scale flexibility (e.g. pumped hydro power plants, electrified steel plants), competition strategies
- Small scale flexibility (e.g. heat pumps, electric vehicles, household electricity storage), aggregation & impact on system scale
- Sequential Market strategies (e.g. day-ahead vs. intraday vs. balancing markets or day-ahead vs. local energy markets)
Each group is to discuss flexibility option implementation challenges, possible solutions, their benefits and restrictions, thus utilising the different modelling needs, experiences and perspectives of the workshop participants. In the last step, we invite all participants to have a look at all the boards and to give their assessment on the practicability and utility of each modelling technique and aspect with respect to their own work. All material from this workshop will be made available to the conference participants.