Renewable Electricity Data: Fleets, National Statistics and Grid Time Series · Head-to-head
OPSD Time Series Package (Load, Wind & Solar Hourly) vs UK Renewables Statistics (DESNZ Collection)
Which renewable electricity data: fleets, national statistics and grid time series data fits your job: OPSD Time Series Package, or UK Renewables Statistics. API, files, or your warehouse. Daily, weekly, or hourly.
OPSD Time Series Package (Load, Wind & Solar Hourly)
UK Renewables Statistics (DESNZ Collection)
Coverage, side by side
| OPSD Time Series Package | UK Renewables Statistics | |
|---|---|---|
| Geographic | 32 European countries and roughly 60 region codes - countries, the four German control areas, and bidding zones down to SE1-SE4 and the GB zones | United Kingdom: national totals, England/Scotland/Wales/NI splits, English regions, devolved administrations and local authorities |
| Temporal | 2015 through mid-2020 in version 2020-10-06; earlier package versions extend selected series backward | Annual capacity and generation 1990-2025, load factors from 1996; Energy Trends quarterly and monthly from 2011 Q1; local-authority series 2014-2024 |
| Granularity | Sub-hourly to hourly per region and variable | National annual, quarterly and monthly; regional and local-authority annual |
What each contains
They tie on 1 attribute. Pick by fit, not by loyalty.
| OPSD Time Series Package | UK Renewables Statistics | |
|---|---|---|
| Publisher | Open Power System Data, a research platform consolidating European power-system data into harmonized tables | UK Government (DESNZ) - the Department for Energy Security and Net Zero, publisher of DUKES and Energy Trends |
| Subject lens | Physical operation of the power system: load, day-ahead prices, wind and solar output, capacity and normalized profiles, hour by hour | Official accounting of renewables: capacity, generation, load factors, station counts, balances, trade and consumption shares |
| Documented fields | 11 field families, definitions verified during research | 8 documented fields, definitions verified during research |
| Geographic coverage | 32 European countries and roughly 60 region codes - countries, the four German control areas, and bidding zones down to SE1-SE4 and the GB zones | United Kingdom: national totals, England/Scotland/Wales/NI splits, English regions, devolved administrations and local authorities |
| Temporal coverage | 2015 through mid-2020 in version 2020-10-06; earlier package versions extend selected series backward | Annual capacity and generation 1990-2025, load factors from 1996; Energy Trends quarterly and monthly from 2011 Q1; local-authority series 2014-2024 |
| Granularity | Sub-hourly to hourly per region and variable | National annual, quarterly and monthly; regional and local-authority annual |
| Data formats delivered | One harmonized table as CSV in three layouts, plus XLSX, SQLite and ZIP, described by a datapackage manifest | Spreadsheet pack: XLSX and ODS workbooks with PDF commentaries, roughly fifteen core files per full set |
| Best for | Price formation, realized capacity factors, forecasting benchmarks, control-area and interconnector studies | Structural and policy analysis, returns models, subnational targeting, citation-grade claims |
What each does better
the OPSD Time Series Package
Resolution nothing annual can match. Every variable lands at hourly resolution for all 32 countries, with 15-minute files where AT/BE/DE/HU/LU/NL report finer data and 30-minute files for CY/GB/IE - granularity at which ramping events, storage arbitrage windows and evening solar collapse are visible at all.
See quant backtesting for how that gets used.
Forecast-actual pairs, pre-built. {REGION}_load_forecast_entsoe_transparency sits directly beside _load_actual_entsoe_transparency, so forecast-error distributions are a subtraction, not a data-collection project.
Harmonization at continental scale. Roughly 60 region codes - countries, the four German control areas (50Hertz, Amprion, TenneT, TransnetBW) and the major bidding zones (DE-LU, DK1/DK2, IE-SEM, the Italian zones, NO1-NO5, SE1-SE4, GB) - under one schema with dual UTC and CET/CEST timestamps. The 60-minute singleindex file alone runs to roughly 300 columns; see hourly time series grid for why that grain changes the questions.
the UK Renewables Statistics
History. Annual capacity and generation series run from 1990 to 2025, with load factors from 1996 - a thirty-five-year structural spine that no hourly archive of any kind matches on length.
Accounting completeness. Constructs a time series structurally cannot hold: de-rated capacity as a planning margin, load factors on two named bases, the count of renewable generating stations as at December (DUKES 6.7), overseas trade in renewable fuels (6.6), commodity balances spanning electricity, heat and transport fuels (6.1 and 6.4), and renewables' shares of aggregated energy balance and gross final consumption (6.5).
Geographic descent. Below the national totals: England, Scotland, Wales and Northern Ireland splits in Energy Trends, then English regions, devolved administrations and individual local authorities in Regional Renewable Statistics, each with annual capacity, generation, site counts and load factors from 2014 to 2024 - the difference between 'the UK solar market' and a call list.
Standing. Accredited Official Statistics resolving to named departments and numbered tables, which is why quotations survive hostile fact-checks; see market sizing and citation-grade research for the worked flows.
Where they're equivalent
More than their shapes suggest. Both score 9 of 10 against the catalog's 7.81 average and both dictionaries were definition-verified during research, so neither asks you to trust inferred schemas. Both ship typed tabular structures rather than narrative documents. Both treat the same technology taxonomy as first-class - onshore wind, offshore wind, solar PV, hydro - with the onshore/offshore split explicit rather than buried in a total.
Both also hold Great Britain inside their span. OPSD includes the GB zones among its roughly 60 region codes, its British columns drawing on the UK energy department as it then was (BEIS); DESNZ covers the country by definition. And both reward the same discipline from the analyst: name your basis before quoting a number - which zone, which year, which capacity convention - because each record is precise precisely within its own conventions.
The verdict
Verdict: sample both - they are not substitutes, they are two different instruments pointed at the same transition.
Take UK Renewables Statistics collection if the question is about structure or policy: how much capacity exists and existed, what it generated, what load factors were earned on which basis, how many stations operate, what biofuels did to the commodity balance, which local authorities host what - the official record, citable by table number.
Sample both, pick by fit. See OPSD Time Series Package · See UK Renewables Statistics
Or take both in one feed
Yes - as microscope and benchmark. The defensible workflow: let DESNZ define the official annual truth for the UK, then use OPSD's GB zones to show what those annual accounts look like from the inside, hour by hour, across the 2015-to-mid-2020 window both records share.
Three seams decide whether the merge holds. First, keys: there is no shared identifier anywhere - OPSD joins on region code plus timestamp, DESNZ on technology plus metric plus year or quarter - so the bridge is geographic and calendrical, mapped deliberately from GB zone codes to the UK. Second, units: hourly megawatts must become energy before they can meet GWh, and OPSD's dual UTC/CET clocks mean a settlement-day sum legitimately holds 25 hours after the autumn changeover. Third, semantics: OPSD blanks mean not-yet-reported and must never read as zero generation, while DESNZ zeros are real observations - solar PV reads 0 for 1990 and 1991 before its first 0.17 MW arrives in 1992. Get those three right and each record audits the other. Browse the rest of the shelf at the renewable electricity data hub.
Datadory ships either record alone or both merged onto one calendar, delivered daily, weekly, or hourly - your call. Or take both in one feed.
API, files, or your warehouse. Daily, weekly, or hourly.
Fair questions
Is the OPSD Time Series Package (Load, Wind & Solar Hourly) better than the UK Renewables Statistics (DESNZ Collection)?
Better at different jobs. DESNZ wins on authority and reach: official capacity, generation, load-factor and station-count accounts from 1990 to 2025, descending to local authorities. Sample both, pick by fit.
Do the two datasets cover the same countries?
Almost nowhere. OPSD spans 32 European countries down to bidding zones; the DESNZ collection covers the United Kingdom alone but descends to English regions, devolved administrations and local authorities. Great Britain is the only ground both occupy - OPSD through its GB zones, DESNZ by definition - which makes the overlap window 2015 to mid-2020.
Which dataset reaches further back?
The DESNZ collection, by decades: annual capacity and generation begin in 1990 and load factors in 1996, running through 2025. OPSD's current version begins in 2015, though earlier package versions extend selected series backward. Depth belongs to the official accounts; density belongs to the time series.
Can I get hourly UK data out of the DESNZ collection?
No - its finest resolutions are the monthly and quarterly Energy Trends tables and annual regional series. Hourly and sub-hourly British load and wind and solar output sit in OPSD's GB zones instead. Pairing the two is exactly how analysts reconcile operational telemetry with the official annual accounts for overlapping years.
Why do UK load factors and OPSD capacity factors disagree?
Different constructions, not competing truths. DESNZ reports annual load factors on two documented bases - average of beginning- and end-of-year capacity, or unchanged-configuration schemes: 26.8 versus 28.4 percent in the reference year. OPSD's profile columns divide hourly generation by installed capacity. Name the basis and the period before comparing either figure.
Can Datadory deliver both datasets together?
Yes - sample both and pick by fit, or take both in one feed. Each arrives normalized to its verified field dictionary (eleven field families on the OPSD side, eight documented fields on the DESNZ side) with sample rows attached for inspection before anything ships, delivered daily, weekly, or hourly - your call.