It corresponds to an electric water-heater and an air-conditioner. It corresponds to the laundry room, containing a washing-machine, a tumble-drier, a refrigerator and a light.ĩ.sub_metering_3: energy sub-metering No. It corresponds to the kitchen, containing mainly a dishwasher, an oven and a microwave (hot plates are not electric but gas powered).Ĩ.sub_metering_2: energy sub-metering No. In this market, prices are not fixed and are affected by demand and supply of the market.
This data was collected from the Australian New South Wales Electricity Market. For instance, the dataset shows missing values on April 28, 2007.ģ.global_active_power: household global minute-averaged active power (in kilowatt)Ĥ.global_reactive_power: household global minute-averaged reactive power (in kilowatt)ĥ.voltage: minute-averaged voltage (in volt)Ħ.global_intensity: household global minute-averaged current intensity (in ampere)ħ.sub_metering_1: energy sub-metering No. Electricity is a widely used dataset described by M. All calendar timestamps are present in the dataset but for some timestamps, the measurement values are missing: a missing value is represented by the absence of value between two consecutive semi-colon attribute separators.
#Electricity pricing splice 2 dataset download archive#
This archive contains 2075259 measurements gathered in a house located in Sceaux (7km of Paris, France) between December 2006 and November 2010 (47 months).ġ.(global_active_power*1000/60 - sub_metering_1 - sub_metering_2 - sub_metering_3) represents the active energy consumed every minute (in watt hour) in the household by electrical equipment not measured in sub-meterings 1, 2 and 3.Ģ.The dataset contains some missing values in the measurements (nearly 1,25% of the rows). Georges Hebrail ( georges.hebrail edf.fr), Senior Researcher, EDF R&D, Clamart, FranceĪlice Berard, TELECOM ParisTech Master of Engineering Internship at EDF R&D, Clamart, France This report characterises the performance of Splice-2 on a real world dataset in comparison with C4.5, an on-line learner (emulated by C4.5), and an unsupervised learning system. Different electrical quantities and some sub-metering values are available. Splice-2 is a machine learning method designed for batch learning in domains with hidden changes in context. Individual household electric power consumption Data Setĭownload: Data Folder, Data Set DescriptionĪbstract: Measurements of electric power consumption in one household with a one-minute sampling rate over a period of almost 4 years. Check out the beta version of the new UCI Machine Learning Repository we are currently testing! Contact us if you have any issues, questions, or concerns.
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