This repository contains a toolset for generating data for machine learning applications in power systems. It consists in two parts:
- Time Series is a Python module for generating realistic time series based on historical data.
- Temperate Optimal Power Flow (TOPF) is a Julia framework for simulating a realistic dispatch of power generation on a transmission grid.
Several Jupyter notebooks documenting the usage of these packages can be found in the doc directory.
The run directory contains more notebooks used to generate data for a particular model of the European transmission grid. This model can be found in the models directory, along with a few other models restricted to individual countries.
