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REFIT Electrical Load Measurements — 20 UK Homes [8-second data]

Energy & Smart Grid Energy
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Catalog metadata: This page is a discovery record, not publisher documentation. Verify the description, schema, provenance, version, licence, and citation at the linked source before use.

Catalog Summary

"Appliance-level and aggregate electricity dataset from 20 UK households sampled every 8 seconds. CSV files, one per home. Built for energy conservation, NILM, demand response, and smart-home automation research."

Catalog Notes

Overview

The REFIT Electrical Load Measurements dataset provides raw and cleaned residential electricity consumption data from 20 households in the United Kingdom. It includes whole-home aggregate demand and appliance-level measurements, making it a strong benchmark for smart-home energy analytics.

The cleaned release is especially useful for machine learning because time corrections and major measurement spikes were addressed before publication. The dataset has become a standard choice for load disaggregation, appliance usage profiling, and household demand studies.

Column Schema

ColumnDescription
TimeTimestamp of the sample.
UnixUnix time index where provided.
AggregateTotal household active power in watts.
Appliance1Power draw of monitored appliance 1.
Appliance2Power draw of monitored appliance 2.
Appliance3Power draw of monitored appliance 3.
Appliance4-9Additional monitored appliance channels.

Key Statistics

  • Total Records: 20 household files with continuous 8-second measurements
  • Features: aggregate load plus up to 9 appliance channels per home
  • File Format: CSV
  • File Size: varies by home and release
  • Time Period: 2013-2015

Use Cases

  • Non-intrusive load monitoring and appliance identification
  • Demand response and household energy advice systems
  • Smart-home automation and occupant energy behavior studies

Source & Attribution

The REFIT dataset was created by researchers at the University of Strathclyde and is publicly distributed through Zenodo and institutional repositories. It is widely used in UK residential energy and NILM research.

View Data Structure

To explore column names, data types, and sample rows, visit the official dataset page on Zenodo.

Preview on Zenodo

Cite This Dataset

Murray, David, Stankovic, Lina, Stankovic, Vladimir, Lulic, Stephen, & Sladojevic, Sandra (2017). An electrical load measurements dataset of United Kingdom households from a two-year longitudinal study. Scientific Data. [Dataset]. Nature Publishing Group. https://zenodo.org/records/5063428

Source metadata: Nature Publishing Group (2017)

Indexed by IoTDataset.com on Apr 06, 2026

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Confirm the licence, version, access conditions, file format, and provenance at the source before use.

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