Individual household electric power consumption

Donated on 8/29/2012

Measurements of electric power consumption in one household with a one-minute sampling rate over a period of almost 4 years. Different electrical quantities and some sub-metering values are available.

Dataset Characteristics

Multivariate, Time-Series

Subject Area

Physical Science

Associated Tasks

Regression, Clustering

Feature Type

Real

# Instances

2075259

# Features

9

Dataset Information

Additional Information

This archive contains 2075259 measurements gathered in a house located in Sceaux (7km of Paris, France) between December 2006 and November 2010 (47 months). Notes: 1.(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. 2.The dataset contains some missing values in the measurements (nearly 1,25% of the rows). 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. For instance, the dataset shows missing values on April 28, 2007.

Has Missing Values?

Yes

Variable Information

1.date: Date in format dd/mm/yyyy 2.time: time in format hh:mm:ss 3.global_active_power: household global minute-averaged active power (in kilowatt) 4.global_reactive_power: household global minute-averaged reactive power (in kilowatt) 5.voltage: minute-averaged voltage (in volt) 6.global_intensity: household global minute-averaged current intensity (in ampere) 7.sub_metering_1: energy sub-metering No. 1 (in watt-hour of active energy). It corresponds to the kitchen, containing mainly a dishwasher, an oven and a microwave (hot plates are not electric but gas powered). 8.sub_metering_2: 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. 9.sub_metering_3: energy sub-metering No. 3 (in watt-hour of active energy). It corresponds to an electric water-heater and an air-conditioner.

Papers Citing this Dataset

DDSketch: A fast and fully-mergeable quantile sketch with relative-error guarantees

By Charles Masson, Jee Rim, Homin Lee. 2019

Published in PVLDB, 12(12): 2195-2205, 2019.

Deep Learning for Time Series Forecasting: The Electric Load Case

By Alberto Gasparin, Slobodan Lukovic, Cesare Alippi. 2019

Published in ArXiv.

Unsupervised Scalable Representation Learning for Multivariate Time Series

By Jean-Yves Franceschi, Aymeric Dieuleveut, Martin Jaggi. 2019

Published in ArXiv.

Normalizing Flows: Introduction and Ideas

By Ivan Kobyzev, Simon Prince, Marcus Brubaker. 2019

Published in ArXiv.

Block Neural Autoregressive Flow

By Nicola Cao, Ivan Titov, Wilker Aziz. 2019

Published in ArXiv.

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Creators

Georges Hebrail

Alice Berard

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