Household data

Detailed household load and solar generation in minutely to hourly resolution. This data package contains measured time series data for several small businesses and private households relevant for household- or low-voltage-level power system modeling. The data includes solar power generation as well as electricity consumption (load) in a resolution up to single device consumption. The starting point for the time series, as well as data quality, varies between households, with gaps spanning from a few minutes to entire hours. In general, data is adjusted to fit uniform, regular time intervals without changing its validity. Except for small gaps, filled using linear interpolation. The numbers are cumulative power consumption/generation over time. Hence overall energy consumption/generation is retained in case of data gaps. Measurements were initially conducted in 3-minute intervals, later in 1-minute intervals. Data for both measurement resolutions are published separately in large CSV files. Additionally, data in 15 and 60-minute resolution is provided for compatibility with other time series data. Data processing is conducted in Jupyter Notebooks/Python/pandas.

本数据集为细分辨率家用负荷与太阳能发电时序数据，分辨率覆盖分钟级至小时级。本数据包收录可用于家庭或低压级电力系统建模的多组实测时序样本，涵盖多家小型商业机构与私人住宅。数据内容包含太阳能发电量与电力消费量（负荷），分辨率可细化至单设备用电层级。不同住宅的时序数据起始时间与数据质量存在差异，数据缺失时长从数分钟至数小时不等。总体而言，数据已被统一调整为规则的时间间隔格式，且未改变其原始有效性；针对少量数据缺失值，采用线性插值法进行补全。数据数值为随时间累积的功率消费量/发电量，因此在存在数据缺失时，总能耗与总发电量仍可得到保留。该数据集的原始采样间隔最初为3分钟，后续调整为1分钟；两种采样分辨率的数据均以大型CSV文件形式单独发布。此外，为适配其他时序数据集，本包还提供了15分钟与60分钟分辨率的降采样数据。数据处理基于Jupyter Notebook、Python与pandas工具完成。

搜集汇总

背景与挑战

背景概述

该数据集提供德国南部11个家庭和小型企业的详细电力负荷与太阳能发电时间序列数据，时间分辨率从1分钟到60分钟，涵盖太阳能发电、电网交互及单个设备（如洗碗机、热泵）的能耗。数据经过插值处理以填补缺失，适用于低压电力系统建模和家庭能源分析。