ASSUME: Agent-Based Electricity Markets Simulation Toolbox#
ASSUME is an open-source toolbox for agent-based simulations of European electricity markets, with a primary focus on the German market setup. Developed as an open-source model, its primary objectives are to ensure usability and customizability for a wide range of users and use cases in the energy system modeling community.
The unique feature of the ASSUME tool-box is the integration of Deep Reinforcement Learning methods into the behavioural strategies of market agents. The model offers various predefined agent representations for both the demand and generation sides, which can be used as plug-and-play modules, simplifying the reinforcement of learning strategies. This setup enables research into new market designs and dynamics in energy markets.
Developers#
The project is developed by a collaborative team of researchers from INATECH at the University of Freiburg, IISM at Karlsruhe Institute of Technology, Fraunhofer Institute for Systems and Innovation Research, Fraunhofer Institution for Energy Infrastructures and Geothermal Energy, and FH Aachen - University of Applied Sciences. Each contributor brings valuable expertise in electricity market modeling, deep reinforcement learning, demand side flexibility, and infrastructure modeling.
Funding#
ASSUME is funded by the Federal Ministry for Economic Affairs and Climate Action (BMWK). We are grateful for their support in making this project possible.
Check out the Quick Start section for further information, including how to Installation the project.
Note
This project is under active development.
Documentation#
Getting Started
Examples
User Guide
Indices and tables#
Help & References