AMPds2 — Residential Electricity, Water & Gas [730 days]
Catalog Summary
"Long-duration smart-home utility dataset with two years of minutely electricity, water, and natural gas measurements plus weather and billing data. CSV/TSV/RData formats. Used for forecasting, NILM, and resource analytics."
Catalog Notes
Overview
AMPds2, the Almanac of Minutely Power Dataset Version 2, is a public residential utility dataset collected from a Canadian home over two full years. It is notable for combining electricity, water, and natural gas consumption with environmental and billing information.
The dataset was released to support computational sustainability, NILM, energy engineering, and eco-feedback research using real household data. Its multi-utility scope makes it especially useful for integrated smart-home resource modeling rather than electricity-only analysis.
Column Schema
| Column | Description |
|---|---|
| timestamp | Minute timestamp for each reading. |
| meter_id | Identifier for the utility meter or sub-meter. |
| power_w | Electric power measurement. |
| water_use | Water consumption measurement. |
| gas_use | Natural gas consumption measurement. |
| weather_temp | Linked outdoor weather observation. |
| billing_value | Utility billing or cost-related variable. |
Key Statistics
- Total Records: 1,051,200 readings per meter over 730 days
- Features: 11 electricity measurement characteristics plus water, gas, weather, and billing variables
- File Format: CSV, tab-delimited, and RData
- File Size: varies by file package
- Time Period: 2012-2014
Use Cases
- Residential load forecasting and utility demand modeling
- Non-intrusive load monitoring and appliance studies
- Integrated household resource analytics across electricity, water, and gas
Source & Attribution
AMPds2 was created by Stephen Makonin and collaborators and is distributed through Harvard Dataverse. It is one of the best-known public smart-home datasets for multi-utility consumption research.
View Data Structure
To explore column names, data types, and sample rows, visit the official dataset page on University.
Preview on UniversityCite This Dataset
The dataset creators ask users of this dataset to cite the accompanying paper. Use one of the verified formats below.
Makonin, S., Popowich, F., Bartram, L., Gill, B., & Bajic, I. V. (2016). Electricity, water, and natural gas consumption of a residential house in Canada from 2012 to 2014. Scientific Data. http://dx.doi.org/10.7910/DVN/FIE0S4
Source metadata: Nature Publishing Group (2016)
Indexed by IoTDataset.com on Apr 06, 2026
Review the Source Record
Confirm the licence, version, access conditions, file format, and provenance at the source before use.