The global push toward renewable energy has accelerated the formation of energy communities, where households produce and share electricity locally to reduce grid strain and promote sustainability. Regulators and researchers are still exploring optimal energy exchange mechanisms. However, communities often decide how they will exchange energy themselves, even though many lack the information and tools needed to make informed decisions. To address these challenges, we introduce a JAX-accelerated simulation-based framework that allows researchers to prototype and evaluate diverse energy exchange models under realistic conditions. On top of this framework, we present an interactive demonstration targeted at legislators, citizens, and other non-technical stakeholders, offering an intuitive introduction to foundational concepts and a hands-on environment for experimenting with different community setups and exchange mechanisms. The project website is available here. Beyond technology, our work is grounded in an interdisciplinary project integrating legal analysis, social science research, and public engagement via citizen jury sessions. By bridging these domains, we aim to empower communities and decision-makers to make more informed, equitable choices in transitioning to sustainable energy systems.
Azmani, H, Rosseau, A, Blondeel, M & Nowe, A 2025, 'A JAX-Accelerated Simulation Framework for Multi-Agent Energy Management in Energy Communities', Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, pp. 3003-3005. <https://www.ifaamas.org/Proceedings/aamas2025/pdfs/p3003.pdf>
Azmani, H., Rosseau, A., Blondeel, M., & Nowe, A. (2025). A JAX-Accelerated Simulation Framework for Multi-Agent Energy Management in Energy Communities. Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, 3003-3005. https://www.ifaamas.org/Proceedings/aamas2025/pdfs/p3003.pdf
@article{3c734ca5519a4de0a658ca590e694be1,
title = "A JAX-Accelerated Simulation Framework for Multi-Agent Energy Management in Energy Communities",
abstract = "The global push toward renewable energy has accelerated the formation of energy communities, where households produce and share electricity locally to reduce grid strain and promote sustainability. Regulators and researchers are still exploring optimal energy exchange mechanisms. However, communities often decide how they will exchange energy themselves, even though many lack the information and tools needed to make informed decisions. To address these challenges, we introduce a JAX-accelerated simulation-based framework that allows researchers to prototype and evaluate diverse energy exchange models under realistic conditions. On top of this framework, we present an interactive demonstration targeted at legislators, citizens, and other non-technical stakeholders, offering an intuitive introduction to foundational concepts and a hands-on environment for experimenting with different community setups and exchange mechanisms. The project website is available here. Beyond technology, our work is grounded in an interdisciplinary project integrating legal analysis, social science research, and public engagement via citizen jury sessions. By bridging these domains, we aim to empower communities and decision-makers to make more informed, equitable choices in transitioning to sustainable energy systems.",
author = "Hicham Azmani and Andries Rosseau and Marjon Blondeel and Ann Nowe",
note = "Publisher Copyright: {\textcopyright} 2025 International Foundation for Autonomous Agents and Multiagent Systems (www.ifaamas.org).; The 24th International Conference on Autonomous Agents and Multiagent Systems ; Conference date: 19-05-2025 Through 23-05-2025",
year = "2025",
language = "English",
pages = "3003--3005",
journal = "Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems",
issn = "1534-4797",
}