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Datasets/Electricity

Electricity

Individual household electric power consumption Data Set

Time seriesCreative Commons Attribution 4.0 InternationalIntroduced 2021-12-13

Abstract: 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.

| Data Set Characteristics | Number of Instances | Area | Attribute Characteristics | Number of Attributes | Date Donated | Associated Tasks | Missing Values | | ------------------------- | ------------------- | -------- | ------------------------- | -------------------- | ------------ | ---------------------- | -------------- | | Multivariate, Time-Series | 2075259 | Physical | Real | 9 | 2012-08-30 | Regression, Clustering | Yes |

Source:

Georges Hebrail (georges.hebrail '@' edf.fr), Senior Researcher, EDF R&D, Clamart, France Alice Berard, TELECOM ParisTech Master of Engineering Internship at EDF R&D, Clamart, France

Data Set 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.

Attribute 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.

Relevant Papers:

N/A

Citation Request:

This dataset is made available under the “Creative Commons Attribution 4.0 International (CC BY 4.0)” license

Benchmarks

Core set discovery/F1(10-fold)Feature Engineering/MAE (100 steps, 10% data missing)Imputation/MAE (100 steps, 10% data missing)Multivariate Time Series Forecasting/MSE Time Series Analysis/MSE Time Series Analysis/RRSETime Series Analysis/FLOPs(M)Time Series Analysis/Parameters(K)Time Series Forecasting/MSE Time Series Forecasting/RRSETime Series Forecasting/FLOPs(M)Time Series Forecasting/Parameters(K)

Related Benchmarks

Electricity (192)/Multivariate Time Series Forecasting/MSEElectricity (192)/Time Series Analysis/MAEElectricity (192)/Time Series Analysis/MSEElectricity (192)/Time Series Forecasting/MAEElectricity (192)/Time Series Forecasting/MSEElectricity (336)/Multivariate Time Series Forecasting/MSEElectricity (336)/Time Series Analysis/MAEElectricity (336)/Time Series Analysis/MSEElectricity (336)/Time Series Forecasting/MAEElectricity (336)/Time Series Forecasting/MSEElectricity (720)/Time Series Analysis/MAEElectricity (720)/Time Series Analysis/MSEElectricity (720)/Time Series Forecasting/MAEElectricity (720)/Time Series Forecasting/MSEElectricity (96)/Multivariate Time Series Forecasting/MSEElectricity (96)/Time Series Analysis/MAEElectricity (96)/Time Series Analysis/MSEElectricity (96)/Time Series Forecasting/MAEElectricity (96)/Time Series Forecasting/MSE

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Core set discoveryCorrelated Time Series ForecastingFeature EngineeringGLinearImputationMultivariate Time Series ForecastingMultivariate Time Series ImputationTime Series AnalysisTime Series ForecastingUnivariate Time Series Forecasting