The ASSUME Project delivers a modular simulation toolbox designed for agent-based modeling of electricity markets. Developed by a team of researchers, the platform addresses the complexities arising from the transformation of electricity markets, particularly those linked to increasing shares of renewable energy. It enables the investigation of market mechanisms, sector coupling, and the interplay between different market platforms, supporting the analysis of how changes in market design can impact participants and related markets.
A key feature of the ASSUME toolbox is its integration of reinforcement learning methods, including a low-code interface and an intuitive front-end. This approach makes advanced deep reinforcement learning engines accessible to researchers who may not have extensive programming experience. The platform incorporates AI-driven market agents that can autonomously adjust market rules and parameters, observe participant reactions, and learn to optimize market designs over time. Built-in explainability tools help users interpret the outcomes of multi-agent simulations, enhancing trust in the generated insights.
The toolbox is further extended to model distribution networks, local energy systems, and cross-sector interactions. This allows for the simulation of congestion management, testing of regulatory options, and the design of incentive schemes for flexible industrial loads such as electrolyzers and steel plants. As a result, the tool supports system optimization and stability by enabling distribution system operators and other stakeholders to explore the effects of market or regulatory changes, including reforms to grid-tariff structures and the creation of capacity markets.
ASSUME is positioned as an open-source software package, with resources such as online tutorials available through the Jupyter Collab interface. The platform is intended for researchers, transmission and distribution system operators, unit operators, and regulators who require a comprehensive environment for modeling and assessing the impacts of energy market design and regulatory innovations.
In the Frameworks & SDKs space, ASSUME Project takes a focused approach. It focuses on simulating and analyzing electricity markets using agent-based and reinforcement learning models. It is built as an open-source project for energy market researchers and analysts. ASSUME Project is open source under the AGPL-3.0 license. The product ships for the web and the command line, and it can be self-hosted.
ASSUME Project first shipped in 2025. Development happens publicly on GitHub with 29 commits in the last 90 days. Key capabilities include electricity market simulation, agent-based modeling, and reinforcement learning.
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