Problem
Research questions and friction points this paper is trying to address.
large language models
agent-based model
energy adoption
interpretability
reproducibility
LLM-Assisted Behavioural and Scenario Augmentation for Agent-Based Energy Adoption Models
🤖 AI Summary
本文提出一种结合大型语言模型的混合框架，用于增强基于代理的太阳能光伏采用模型，通过限定行为规范和结构化情景设定来提高模型的行为有效性和政策相关性。
📝 Abstract
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 concerns regarding interpretability, reproducibility, and behavioural validity. This paper proposes a hybrid framework for LLM-assisted specification design, integrating bounded behavioural rubrics and structured scenario specifications into a calibrated agent-based model (ABM) of solar photovoltaic (PV) adoption by Irish dairy farms. The proposed approach preserves the original techno-economic adoption mechanism while augmenting it with bounded behavioural modulation and scenario-driven uncertainty analysis. Behavioural effects are represented through interpretable conservative, balanced, and optimistic rubrics, while future policy and market conditions are explored through fixed, rule-validated scenario specifications. Experimental results across multiple policy settings, Monte Carlo worlds, and random seeds demonstrate stable and economically plausible behaviour, with adoption outcomes remaining bounded and monotonic across behavioural regimes. The framework achieves up to approximately 13% behavioural adoption increase relative to the corresponding logistic case without producing unstable or unrealistic saturation dynamics. The results demonstrate that LLM-assisted specifications can be integrated into calibrated energy ABMs in a controlled, reproducible, and policy-relevant manner.
Innovation
Methods, ideas, or system contributions that make the work stand out.
LLM-assisted specification
agent-based model (ABM)
bounded behavioural modulation
scenario-driven uncertainty analysis
solar photovoltaic (PV) adoption
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