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  4. ASSUME - Agent-based Simulation for Studying and Understanding Market Evolution
 
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2025
Journal Article
Title

ASSUME - Agent-based Simulation for Studying and Understanding Market Evolution

Abstract
ASSUME is an open-source toolbox for agent-based simulations of various energy markets, with a primary focus on European electricity markets. Developed as an open-source model, its objectives are to ensure usability and customizability for a wide range of users and use cases in the energy system modeling community. A unique feature of the ASSUME toolbox is its 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 plugand-play modules, simplifying the usage of reinforcement learning strategies. This setup enables research of new market designs and evolving dynamics in energy markets.
Author(s)
Maurer, Florian
University of Applied Sciences Aachen
Harder, Nick
University of Freiburg, Institute for Sustainable Systems Engineering
Miskiw, Kim
Karlsruhe Institute of Technology, Institute of Information Systems and Marketing
Khanra, Manish  orcid-logo
Fraunhofer-Institut für System- und Innovationsforschung ISI  
Journal
The journal of open source software : JOSS. Online journal  
File(s)
Download (291.56 KB)
Rights
CC BY 4.0: Creative Commons Attribution
DOI
10.21105/joss.08515
10.24406/publica-5057
Language
English
Fraunhofer-Institut für System- und Innovationsforschung ISI  
Keyword(s)
  • agent based modeling

  • energy market

  • reinforcement learning

  • software simulation

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