How Do Tool-Augmented LLM Agents Perform on Real-World Energy Analytics Tasks?

Agentic benchmarks have emerged across general-purpose and domain-specific settings, including finance, coding, law, and drug discovery, yet energy-domain evaluations remain largely limited to static knowledge recall. This is a critical gap for a sector that requires live data retrieval, specialized regulatory and market knowledge, and multi-step quantitative reasoning under real-world constraints. We present an empirical study of tool-augmented LLM agents on real-world energy market analytics t

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ethics.ai (24 June 2026), “How Do Tool-Augmented LLM Agents Perform on Real-World Energy Analytics Tasks?,” evidence record 599, https://ethics.ai/record/599 (originally published by arXiv).

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