Machine learning for power flow
Project description
MLPF is a python library for (optimal) power flow calculations with machine learning. It offers:
- efficient loss functions compatible with both PyTorch and scikit-learn!
- utilities such as data structures and loading pipelines that make it easy to go from pandapower nets or PYPOWER case files to arrays and tensors in just one line of code!
- visualization and description tools to take a quick look at your data
Usage
-[ ] One big TODO
Data loading
Loss
scikit-learn
torch
Indepth examples
Installation
Pip
-[ ] TODO Publish package
Development
git clone https://github.com/viktor-ktorvi/mlpf.git
cd mlpf
conda env create -f environment.yml
conda activate mlpfenv
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