Household-Aware Community Battery Coordination: A Multi-Agent Reinforcement Learning Approach
This poster presents a multi-agent reinforcement learning framework for coordinating household and community battery energy storage systems. The proposed approach considers household heterogeneity, multi-level objectives, internal pricing, and coordinated battery operation within a shared community energy system.
Authors
- Chun Ouyang (ORCID: https://orcid.org/0000-0001-7098-5480)
- Cao Tram Anh Hoang (ORCID: https://orcid.org/0009-0007-3927-9888)
Institutions
- Queensland University of Technology (AU)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-09-21
- DOI
- https://doi.org/10.5281/zenodo.22868160
- Primary Topic
- Smart Grid Energy Management
- Type
- article
- Field-Weighted Citation Impact
- 0.00