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

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.

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Institutions

Publication Details

Journal
The Journal of Open Source Software
Published
2025-08-14
DOI
https://doi.org/10.21105/joss.08515
Citations
2
Primary Topic
Complex Systems and Time Series Analysis
Type
article
Field-Weighted Citation Impact
6.26

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article

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

Nick Harder, Florian Maurer, Kim K. Miskiw, Manish Khanra
2 citations
The Journal of Open Source Software
Complex Systems and Time Series Analysis
6.26
article

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

Nick Harder, Florian Maurer, Kim K. Miskiw, Manish Khanra
article en
2 citations

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.

The Journal of Open Source SoftwareVol. 10(112)
Karlsruhe Institute of Technology (DE), University of Freiburg (DE), Fraunhofer Institute for Systems and Innovation Research (DE), FH Aachen (DE)
Bundesministerium für Wirtschaft und Energie
Openalex Percentile: Top 4%
Complex Systems and Time Series Analysis
6.26
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ASSUME - Agent-based Simulation for Studying and Understanding Market Evolution — Nick Harder, Florian Maurer, et al. · The Journal of Open Source Software (2025) | TGRS Research Map | TGRS