dkharazi / eda-powerconsumption

Overview

The dataset contains measurements of electric power consumption per household with a one-minute sampling rate over a period of almost 4 years. Different electrical quantities and some sub-metering values are available. The data was donated on August 30, 2012 by Georges Hebrail, who is a Senior Researcher at EDF located in France, and is available at the UC Irvine Machine Learning Repository, a popular repository for machine learning datasets. This archive contains 2,075,259 measurements gathered between December 2006 and November 2010 (47 months). For more details, refer to their repository.

Dataset: Electic Power Consumption Data [20MB]

Variable Descriptions

• Date: The date in format dd/mm/yyyy.
• Time: The time in format hh:mm:ss.
• Global_active_power: The household global minute-averaged active power (measured in kilowatts).
• Global_reactive_power: The household global minute-averaged reactive power (measured in kilowatts).
• Voltage: The minute-averaged voltage (measured in volts).
• Global_intensity: The household global minute-averaged current intensity (measured in amperes).
• Sub_metering_1: The energy sub-metering No. 1 (measured in watt-hour of active energy). This corresponds to the kitchen, containing mainly a dishwasher, an oven and a microwave (hot plates are not electric but gas powered).
• Sub_metering_2: The energy sub-metering No. 2 (in watt-hour of active energy). It corresponds to the laundry room, containing a washing-machine, a tumble-drier, a refrigerator and a light.
• Sub_metering_3: The energy sub-metering No. 3 (in watt-hour of active energy). It corresponds to an electric water-heater and an air-conditioner.