Plug Load Dataset for Office Spaces
Description
This data repository contains the plug load dataset that was used in the paper titled "Near-Real-Time Plug Load Identification using Low Frequency Power Data in Commercial Office Buildings: Experiments and Applications". This paper was submitted on 28th April 2020 to the Journal of Applied Energy. Please cite this paper when using this dataset. 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).