Power Quality State Estimation for Distribution Grids based on Physics-Aware Neural Networks - Harmonic State Estimation

Data set for the paper "Power Quality State Estimation for Distribution Grids based on Physics-Aware Neural Networks - Harmonic State Estimation"

This upload contains

• Training set
• Validation set
• Test set
• Admittance matrices per frequency

used for the paper as pickle files and weights of trained models as zip files.

Weights represent the model with the best validation loss recorded within the first 3000 Epochs of training.

Code for reading in the data sets, preprocessing and state estimation is available in the linked repository.

To replicate the results of the paper follow these steps:

1. clone the linked repository
2. save the provided pickle files in the data folder under 'CigreLVDist' of the linked repository
3. optional: unzip weights and save them in the data folder, otherwise train a model yourself instead