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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)
File(s)
Rights
CC BY 4.0: Creative Commons Attribution
Language
English