Power Network GAT

This project uses a Graph Attention Network (GAT) to predict voltage magnitude and angle in a power network.

Setup

1. Clone the repository:

   git clone https://github.com/alexisaglar/GAT_power_system.git
   

2. Install the dependencies:

   pip install -r requirements.txt
   

3. Place your data in the data/raw directory and run the preprocessing script (if needed).

Usage

1. Train the model:

   python src/main.py
   

2. Evaluate the model:

   python src/evaluate.py
   

Project Structure

• raw_data/: Contains raw and processed data.
• src/: Contains source code for data loading, model definition, training, and evaluation.
• plots/: Contains plots generated during network generation and results.
• requirements.txt: Lists the dependencies needed to run the project.
• README.md: Provides an overview and instructions for the project.