ASSUME

An open-source framework for agent-based simulations of European electricity markets, its primary objectives are to ensure usability and customizability for a wide range of users and use cases in the energy system modeling community.

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Description

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 behavioral 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.

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Keywords
Programming language
  • Python 100%
License
</>Source code
Packages
pypi.org

Participating organisations

Uni
Kar
FH
Fra
Fra

Reference papers

Contributors

NH
KM
Kim K. Miskiw
MK
Manish Khanra
Fraunhofer Institute for Systems and Innovation Research
PP
Parag Patil
Fraunhofer Research Institution for Energy Infrastructures and Geothermal Systems
GG
Gunter Grimm
Albert Ludwig University of Freiburg
JA
Johanna Adams
University of Freiburg
MT
Marie Thederan
Karlsruhe Institute of Technology
KKM
Kim K. Miskiw
Karlsruher Institut für Technologie
JR
Jannik Raskob
PF
Philipp Fritz
Karlsruher Institut für Technologie
tbu
tiernan buckley ufr