Plug Load Dataset for Office Spaces

This repository contains the office plug load dataset that was collected in the paper titled "Near-Real-Time Plug Load Identification using Low-frequency Power Data in Office Spaces: Experiments and Applications". This paper was submitted on 27th April 2020 to the Journal of Applied Energy and accepted on 9th June 2020.

Please include the following citation if you are interested in using this dataset:

Tekler ZD, Low R, Zhou Y, Yuen C, Blessing L, Spanos C. Near-real-time plug load identification using low-frequency power data in office spaces: Experiments and applications. Applied Energy 2020;275:115391. https://doi.org/10.1016/j.apenergy.2020.115391

The dataset was the result of a three-week data collection effort that was conducted in a typical office environment between February 2020 to March 2020. The dataset contains the power consumption data of several plug loads that are commonly found on the occupants' desks, including 31 laptops, 9 desktops, 35 monitors, 13 fans, and 11 task lamps. A total of 36 occupants participated in this study consisting of a mixture of researchers and administrative staff.

Each entry in the dataset contains four fields, including 1) the timestamp information, 2) the instantaneous power value of the connected plug load recorded up to two decimal places, 3) a unique ID indicating the smart power plug that recorded the information, and 4) the label of the corresponding plug load type that was provided post-data collection. The data was also collected with a sampling frequency of 1/60 Hz (equivalent to 1 sample every minute).

This dataset has also been uploaded at the following sites:
GitHub: https://github.com/zeynepduygutekler/plug-load-dataset

本存储库包含在题为《在办公空间中使用低频电力数据实现近乎实时插座负载识别：实验与应用》的论文中收集的办公插座负载数据集。该论文于2020年4月27日提交至《应用能源》期刊，并于2020年6月9日获接受。如需使用此数据集，请引用以下文献：Tekler ZD, Low R, Zhou Y, Yuen C, Blessing L, Spanos C. 近乎实时使用低频电力数据在办公空间中识别插座负载：实验与应用[J]. 应用能源, 2020, 275: 115391. https://doi.org/10.1016/j.apenergy.2020.115391

该数据集是于2020年2月至3月在典型的办公环境中进行的为期三周的数据收集活动的成果。数据集中包含了常见于办公人员桌上的多种插座负载的功耗数据，包括31台笔记本电脑、9台台式机、35台显示器、13台风扇和11台任务灯。共有36名参与者参与了这项研究，其中包含研究人员和管理人员。

数据集中的每条记录包含四个字段，包括1）时间戳信息，2）记录至小数点后两位的连接插座负载的瞬时功率值，3）一个唯一标识记录信息的智能电源插座的ID，以及4）在数据收集后提供的对应插座负载类型的标签。数据采集的采样频率为1/60 Hz（相当于每分钟一个样本）。

此外，该数据集亦已上传至以下网站：
GitHub: https://github.com/zeynepduygutekler/plug-load-dataset