WattCouncil: Context-Aware Household Energy Scenario Generation With Governed LLMs

Jul 14, 2026

Researchers introduce WattCouncil, a framework that uses multiple LLM-based agents in specialized roles to generate synthetic household energy demand data. The system incorporates cultural, temporal, and physical constraints to create context-sensitive daily routines, and its outputs are evaluated against the CER dataset of 4,232 households. The framework also includes ablation studies to assess consistency.

Why it matters: This work offers a novel approach to generating realistic, privacy-preserving household energy data, addressing a key bottleneck in smart-grid research.

Full story at: arXiv Multiagent Systems ↗