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LLM-Assisted Behavioural and Scenario Augmentation for Agent-Based Energy Adoption Models
Recent advances in large language models (LLMs) create opportunities to enrich simulation-based energy policy analysis, particularly by supporting structured behavioural assumptions and exploratory techno-economic scenarios. However, directly replacing adoption models with LLM reasoning raises conce
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