An open-source, reproducible framework for labelling maintenance logs from wind farms based on free-entry descriptors and benchmarking Large Language Models (LLMs) in this task. The repository is from a study evaluating proprietary and open-source models on performance, cost, and calibration to support data-driven O&M in the wind energy sector.
wind-turbine wind-energy work-orders data-labeling llms llms-benchmarking llm-applications maintenance-logs ai-data-labeling
- Updated
Sep 9, 2025 - Jupyter Notebook