whole-house aggregate power

A single time-series channel totalling all consumption in the home, as opposed to per-appliance channels.

Every load-monitoring dataset in this slice ships it alongside (or instead of) appliance-level splits.

In this catalog it appears concretely: - UCI Appliances Energy Prediction Dataset — "Whole-house aggregate appliance energy per 10-minute interval with nine-room indoor climate channels and airport weather". - REFIT Electrical Load Measurements (Cleaned) — "aggregate plus up to nine appliance-level channels". - UK-DALE (CEDA/UKERC EDC) — "1 s aggregate for three homes".

A table is only as good as the column you actually need. If this field is absent, sparsely populated or defined inconsistently across rows, no amount of surrounding richness rescues the analysis, so it deserves its own line in your evaluation checklist.

The failure mode is concrete: a source can carry the whole-house aggregate power label while differing from what you need on exactly the dimension that matters — Whole-house aggregate appliance energy per 10-minute interval with nine-room indoor climate channels and airport weather. Comparing two sources on that line usually settles the choice faster than any feature matrix.

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 UCI Appliances Energy Prediction Dataset lets you inspect the real artifact before any budget is committed.

Treat every claim of this attribute as testable:

1. Open UCI Appliances Energy Prediction Dataset and confirm its record — "Whole-house aggregate appliance energy per 10-minute interval with nine-room indoor climate channels and airport weather" — against the files you actually receive. 2. Open REFIT Electrical Load Measurements (Cleaned) and confirm its record — "aggregate plus up to nine appliance-level channels" — against the files you actually receive. 3. Open UK-DALE (CEDA/UKERC EDC) and confirm its record — "1 s aggregate for three homes" — 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.

Adjacent concepts worth reading next: - appliance level power - non-intrusive load monitoring