即插即用设备识别数据集

基于电力测量的电器识别在电网的需求侧管理应用中非常重要，包括自动负荷控制、负荷调度和非侵入性负荷监测。Plug-Load Appliance Identifcation Dataset (PLAID)数据集是一个公共数据集，包含了在高采样频率（30 kHz）获得的家用电器电压和电流记录以及对应的标签。该数据集包含1876份单独计量的记录，来自17种不同电器类型（如冰箱、微波炉等）。17种电器由330个不同的制造工艺和模型组成，并在宾夕法尼亚州匹兹堡（美国）的65个不同的地点收集。此外，PLAID包含了其中13种设备类型的组合操作的1314条记录（即，当多个设备同时活动时获得的测量值）。

Electrical appliance recognition based on power measurements plays a critical role in demand-side management applications of power grids, including automatic load control, load scheduling, and non-intrusive load monitoring. The Plug-Load Appliance Identification Dataset (PLAID) is a public dataset containing voltage and current records of household appliances collected at a high sampling frequency of 30 kHz, along with their corresponding labels. This dataset comprises 1876 individually metered records from 17 distinct appliance types, such as refrigerators, microwave ovens, and others. These 17 appliance categories encompass 330 unique manufacturing processes and models, with data collected at 65 different locations in Pittsburgh, Pennsylvania, United States. Additionally, PLAID includes 1314 records of combined operations for 13 of these appliance types, i.e., measurements obtained when multiple devices are active simultaneously.

搜集汇总

背景与挑战

背景概述

该数据集是一个用于电器识别的公共数据集，专注于基于电力测量的非侵入性负荷监测。它包含高采样频率（30 kHz）的电压和电流记录，覆盖17种家用电器类型，总计1876份单独计量记录和1314条组合操作记录，数据来自多个地点和制造模型，适用于需求侧管理应用如自动负荷控制。