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

The Journal of Open Source Software, vol. 10, pp. 8515

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.

Authors 4

1. Florian Maurer Aachen

   FH Aachen

   Affiliation as printed

   University of Applied Sciences Aachen, Germany

2. Nick Harder

   University of Freiburg

   Affiliation as printed

   Institute for Sustainable Systems Engineering, University of Freiburg, Freiburg, Germany

3. Kim K. Miskiw

   Karlsruhe Institute of Technology

   Affiliation as printed

   Institute of Information Systems and Marketing, Karlsruhe Institute of Technology, Karlsruhe, Germany

4. Manish Khanra

   Fraunhofer Institute for Systems and Innovation Research

   Affiliation as printed

   Fraunhofer Institute for Systems and Innovation Research, Karlsruhe, Germany