遇见数据集

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

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Zenodo2026-04-13 更新2026-06-05 收录
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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.

本数据集推出FeederBW,这是一套覆盖德国低压电网200条馈线的真实世界能源数据集,包含为期两年的元数据。该数据由德国西南部的配电网运营商Netze BW采集,由Netze BW与卡尔斯鲁厄理工学院(Karlsruhe Institute of Technology, KIT)自动化与应用信息研究所(Institute for Automation and Applied Informatics, IAI)联合发布。 若在任何场景(例如学术出版物)中使用本数据集,请引用对应论文:[2602.03521] arXiv:《德国低压电网200条馈线及两年元数据的真实能源数据》。 配套代码可于GitHub获取:https://github.com/KIT-IAI/FeederBW。该代码库包含从Zenodo下载数据集、加载与合并数据的相关函数,以及负荷预测和伪量测生成的极简示例。 数据集结构: 馈线测量数据:每条低压馈线的测量数据均以分钟级分辨率存储于独立文件中。我们将40个文件打包为一组,共生成5个包含馈线测量数据的压缩包。数据格式为Parquet,可通过Python的pandas或polars等工具轻松读取(未压缩总大小约11.1 GB)。 馈线元数据:一个简短的CSV文件,包含相关元数据。 气象数据:一个Parquet文件(小时级分辨率),包含200条低压馈线对应的气象数据。该数据源自德国气象局(Deutscher Wetterdienst, DWD)的ICON-D2数值模式。 本数据集目前处于审稿阶段,即将正式发布。我们将以学术论文形式提供关于本数据集的详细说明。

提供机构:
Zenodo
创建时间:
2025-12-05
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