Data characteristics | Multivariate time series | Type of building(s) | Residential | Date | 2006-2010 |
Type of attributes | Real numbers | Number of buildings | 1 | Duration | 47 months |
Level of detail | whole building, circuit level | Location of buildings | France | Sampling frequency | minutely |
The data set can be downloaded from this link
The data are provided in one csv format file. There exist a 1,25 percent of missing data which are presented by blank spaces in dataset.
Date
Time
Global_active_power: household global minute-averaged active power (kW)
Global_reactive_power: household global minute-averaged reactive power (kW)
Voltage: averaged over a minute (V)
Global_intensity (A)
Sub_metering_1 (Wh) this sub metering includes kitchen appliances
Sub_metering_2 ( Wh) this sub metering includes washing-machine, a tumble-drier, a refrigerator and a light.
sub_metering_3: ( Wh) this sub metering includes an electric water-heater and an air-conditioner.
K. L. Bache, M. UCI Machine Learning Repository , Irvine, CA: University of California, School of Information and Computer Science. [Online]. Available: http://archive.ics.uci.edu/ml/datasets/Individual+household+electric+power+consumption
Hebrail, G. & Berard, A. Individual household electric power consumption Data Set (2012). URL http://bit.ly/1byLbr0.