hourly time-series grid

Power-system variables indexed by timestamp and region or site at sub-hourly to hourly resolution.

OPSD ships 15-, 30- and 60-minute resolutions across 300 columns for 32 European countries; Renewables.ninja emits the full 8,760 hours of a year per request.

In this catalog it appears concretely: - OPSD Time Series Package (time coverage) — "the". - Renewables.ninja — "Single-year hourly series per request (~8,760 rows)".

A label on a listing is not a deliverable. Teams that license on the strength of a product-name match routinely find the shipped files cover a narrower slice than they assumed, and backfilling history afterwards costs more than the license ever did.

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 OPSD Time Series Package lets you inspect the real artifact before any budget is committed.

Treat every claim of this attribute as testable:

1. Read OPSD Time Series Package's record on time coverage — "the" — then confirm the delivered artifact matches before you license anything.
2. Open Renewables.ninja and confirm its record — "Single-year hourly series per request (~8,760 rows)" — against the files you actually receive.
3. 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.
4. 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.
5. 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: multi-utilities data, renewable-electricity data.

Adjacent concepts worth reading next: - bidding zone aggregation - capacity factor - day ahead prices