Experimental Data and Analysis for Evaluating renewable energy development policies: A SWOT-based multi-criteria decision analysis comparison of domain experts and large language models
Description
This dataset contains the data and computational materials from a comparative evaluation of nine domain experts and five large language models (LLMs) in the assessment of renewable energy development policies using SWOT analysis. The evaluation covers 24 SWOT factors and 8 policy responses. The dataset includes the original assessments provided by the nine domain experts, the complete prompt–response conversations generated during the LLM evaluation, and the resulting tabular data used for analysis. The accompanying Jupyter Notebook contains the complete analytical workflow used to process, compare, and evaluate the expert and LLM assessments.
Files
Steps to reproduce
1. Download the analysis fiile in the .ipynb format. 2. Install Python and the required dependencies. 3. Open analysis.ipynb using Jupyter Notebook or JupyterLab. 4. Run all cells sequentially from the beginning to the end. 5. The notebook performs the required data preprocessing and computational analysis. 6. The resulting tables, statistics, figures, and other outputs correspond to the analyses reported in the accompanying manuscript.
Institutions
- National Institute of TelecommunicationsMazovia, Warsaw