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InfoResearchPreprintLLM-specific

Enabling Privacy-Preserving Natural Language Access to Industrial Smart Meter Data

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Summary

Energy grid operators need smart meter data but often lack the SQL skills to query it, and privacy rules can bar sending consumer data to cloud LLMs. The authors present OpenMeter, a schema-agnostic Multi-Agent System that turns natural language queries into executable code and readable insights. Ablation studies show full multi-agent orchestration gains the most on resource-constrained local hardware (+6.1 pp EX-R over the strongest single-agent configuration), while at frontier scale components should be enabled selectively.