Power Grid Representation for Large Language Models: A Case Study on Voltage Control

Repository with paper related code

Generate new data

1. Set up environment and install requirements.
2. Set up Olama API settings in main.
3. Set up run configurations in main (model-config, bias, grid) this is done by commenting related lines of code.
4. Run main.py (results will be saved in run_results)

pip install -r requirements.txt
python main.py

Plotting already existing Data

1. Add results you want to plot into raw_data folder out results can be found at.
2. if necessary adjust path in plotting_with_raw_data
3. Set up which plots to generate
4. Run plotting_with_raw_data

pip install -r requirements.txt
python plots/plotting_with_raw_data.py

OPF baseline

1. Install the requirements from /opf
2. Run opf/run_opf_monee.py

pip install -r opf/requirements.txt
python opf/run_opf_monee.py