Smart Home: Household Electric Power Consumption (Time-Series)
Abstract
"A massive time-series dataset (2M+ rows) tracking active power, voltage, and sub-metering energy usage for a single household over 4 years."
Description
This is a classic multivariate time-series dataset used to benchmark Energy Forecasting Algorithms. It contains 2,075,259 measurements gathered between December 2006 and November 2010 (47 months).
Dataset Variables (1-minute sampling):
- Global_active_power: Household global minute-averaged active power (in kilowatt).
- Global_reactive_power: Household global minute-averaged reactive power.
- Voltage: Minute-averaged voltage (in volt).
- Global_intensity: Minute-averaged current intensity (in ampere).
- Sub_metering_1: Energy sub-metering No. 1 (Kitchen - dishwasher, oven).
- Sub_metering_2: Energy sub-metering No. 2 (Laundry room - washing-machine).
- Sub_metering_3: Energy sub-metering No. 3 (Water-heater & AC).
Engineering Use Cases:
Ideal for training LSTM (Long Short-Term Memory) networks and ARIMA models to predict future energy usage and detect anomalies in smart grids.
Source: UCI Machine Learning Repository - Licensed under CC BY 4.0.
📊 View Data Structure
To explore column names, data types, and sample rows, visit the official dataset page on External.
Preview on External
Cite This Dataset
External (2026). Smart Home: Household Electric Power Consumption (Time-Series). [Dataset]. External. https://archive.ics.uci.edu/static/public/235/individual+household+electric+power+consumption.zip
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Original source: External (2026). Visit official page for more details.
Indexed by IoTDataset.com on Jan 05, 2026
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