non-intrusive load monitoring

The research task of inferring which individual appliances are running from whole-house meter data alone.

The UK-DALE, REFIT and Tracebase collections in this slice are published explicitly as benchmark data for it.

In this catalog it appears concretely: - UK-DALE (tagging) — "nilm', 'load monitoring', 'appliance-level". - REFIT Electrical Load Measurements (tagging) — "nilm', 'load-monitoring". - Tracebase — "benchmark-dataset".

Conventions decide whether two sources can be joined at all. Buy one side of an analysis that ignores this convention and every reconciliation step — calendar alignment, unit conversion, entity matching — lands on your team instead of the vendor's.

The failure mode is concrete: the label appears in a listing, the delivered files tell a different story, and the gap surfaces mid-project when fixing it is most expensive.

You rarely have to take a vendor's word for it. 82.4% of the 1,744 datasets Datadory catalogs are free to access, and UK-DALE lets you inspect the real artifact before any budget is committed.

Treat every claim of this attribute as testable:

1. Read UK-DALE's record on tagging — "nilm', 'load monitoring', 'appliance-level" — then confirm the delivered artifact matches before you license anything.
2. Read REFIT Electrical Load Measurements's record on tagging — "nilm', 'load-monitoring" — then confirm the delivered artifact matches before you license anything.
3. Open Tracebase and confirm its record — "benchmark-dataset" — against the files you actually receive.
4. Pin down update cadence in writing. Across this catalog, 22.6% of 1,744 datasets refresh daily and 64 still arrive only through a manual request form, so ask exactly how fresh each release is.
5. Check whether definitions are verified at all. Field definitions are verified for 1495 of 1,744 datasets (85.7%), and any source you license should meet that bar.
6. Price the delivery route before the license. In this catalog bulk download is the most common access method (725 datasets) ahead of official APIs (574), and 379 sources still require scraping — a maintenance cost that lands on you, not the vendor.

See the term applied to real records: household-appliances data.

Adjacent concepts worth reading next: - appliance level power - high frequency waveforms - whole-house aggregate power