Real-world energy data of 200 feeders from low-voltage grids with metadata in Germany over two years

In this dataset, we provide FeederBW, a real-world energy dataset of 200 feeders from low-voltage grids with metadata in Germany over two years. The data was collected by the distribution system operator Netze BW in the southwest of Germany. The dataset is published by Netze BW together with the Institute for Automation and Applied Informatics (IAI) at the Karlsruhe Institute of Technology (KIT). When using the dataset in any context, e.g. a publication, please cite the corresponding paper: [2602.03521] arXiv: Real-world energy data of 200 feeders from low-voltage grids with metadata in Germany over two years. A code companion is available under GitHub: https://github.com/KIT-IAI/FeederBW. It comprises functions for downloading the data from Zenodo, loading and joining of the data as well as minimal examples for load forecasting and pseudo-measurement generation. Dataset structure: Feeder measurement data: the measurements for each low-voltage feeder (minute-level resolution) are provided in a seperate file. We zipped 40 files together resulting in five zip files with feeder measurement data. The format parquet can be easily read, for example with pandas or polars in python. (uncompressed roughly 11.1 GB) Feeder metadata: one short CSV file containing the metadata Weather data: one parquet file (hourly resolution) containing the weather data for all 200 low-voltage feeders. The data originates from the ICON-D2 model of the German Meteorological Service (DWD). The dataset is currently under review. It will be published soon. We will provide extensive informations about the dataset in a paper format. Dataset changelog: v1.1: added substation ids in feeder_metadata.csv v1.0: intial dataset