• Energy
  • 12 columns
  • 200 rows
  • 8 formats

Renewable Energy Production Metrics

This dataset provides granular, hourly renewable energy output from distributed generation points, including location, technology type, capacity, and operational status. It is ideal for sustainability modeling, grid reliability assessment, and geographic analysis of renewable energy resources, supporting data-driven decision-making for energy planners and researchers.

  • last updated 5 Sept 2025
  • by GoMask
The brief that made it

Grid reliability and load balancing analysis

Sample rows

preview · 8 of 200 rows · all 12 columns
generation_point_idstringenergy_typestringinstalled_capacity_mwfloatlocation_countrystringtimestampdatetimeoutput_mwhfloatlocation_latitudefloatlocation_longitudefloatlocation_citystringlocation_statestringoperational_statusstringweather_conditionsstring
SOLAR_LASVEGAS_01solar18USA2023-06-01T13:00:00Z15.636.1699-115.1398Las VegasNVactiveclear
WIND_TEXAS_03wind220USA2023-06-01T09:00:00Z190.231.9686-99.9018AbileneTXactivewindy
HYDRO_CHINA_01hydro260China2023-06-01T00:00:00Z240.630.8269111blankblankactiverainy
GEOTHERM_ICELAND_02geothermal16Iceland2023-06-02T05:00:00Z12.864.9631-19.0208Reykjavikblankactivecloudy
BIOMASS_BRAZIL_01biomass10Brazil2023-06-02T08:00:00Z6.4-22.9068-43.1729Rio de JaneiroRJactivehumid
SOLAR_PHOENIX_07solar19USA2023-06-02T12:00:00Z17.533.4484-112.074PhoenixAZactivesunny
WIND_MONTANA_01wind120USA2023-06-03T02:00:00Z046.8797-110.3626Great FallsMTmaintenancestorm
HYDRO_SWITZERLAND_02hydro80Switzerland2023-06-03T04:00:00Z046.81828.2275Bernblankmaintenancefrost

What the 200 rows show

from the 200-row sample

Wind (energy type) stands out: mean installed_capacity_mw is 164.5, against 35.7 for the rest.

  • 18.1median installed_capacity_mw
  • 4operational statuses
  • 14weather conditionses
  • 8.1median output_mwh
Mean installed_capacity_mw by energy_type200 rows
010020014.1solar44 rows164.5wind40 rows102.7hydro41 rows14.2geothe…38 rows9.3biomass37 rows
installed_capacity_mw200 rows, in bands of 50
0701401321621141070150300installed_capacity_mw →

Median 18.1, from 2.4 to 285.0.

location_country200 rows · top 10 of 15 values
  1. USA41
  2. China16
  3. Brazil16
  4. Iceland15
  5. Australia13
  6. Russia13
  7. Bangladesh13
  8. Switzerland12
  9. Somalia12
  10. Canada12
12 columns by typefrom the column list below
  • string 7
  • float 4
  • datetime 1

Columns

12 columns in three groups
blueprint · 12 columns
columntypedescriptionexample
Text 7 columns
generation_point_idstringUnique identifier for the distributed generation point (e.g., solar farm, wind turbine, hydro station)SOLAR_LASVEGAS_01
energy_typestringType of renewable energy generated (e.g., solar, wind, hydro, geothermal, biomass)solar · wind · hydro · geothermal · biomasssolar
location_citystringCity where the generation point is locatedoptionalLas Vegas
location_statestringState or region where the generation point is locatedoptionalNV
location_countrystringCountry where the generation point is locatedUSA
operational_statusstringOperational status of the generation point at the time of measurementactive · maintenance · offline · decommissioned · optionalactive
weather_conditionsstringBrief description of weather conditions at the generation point during the hour (e.g., clear, cloudy, windy, rainy)optionalclear
Numbers 4 columns
output_mwhfloatAmount of energy produced in megawatt-hours (MWh) during the hour0 or more15.6
location_latitudefloatLatitude coordinate of the generation point-90 to 9036.1699
location_longitudefloatLongitude coordinate of the generation point-180 to 180-115.1398
installed_capacity_mwfloatTotal installed capacity of the generation point in megawatts (MW)0 or more · optional18
Dates and times 1 column
timestampdatetimeDate and time of the recorded energy output (UTC recommended)2023-06-01T13:00:00Z

Use it for

  • median install…18.1200 rowsmean installed capaci…14.1solar164.5wind102.7hydro14.2geot…

    An energy dashboard

    Installed_capacity_mw by energy_type and a breakdown of location_country. Excel, Power BI or Tableau.

  • Why do the 40 wind rows have a mean installed_capacity_mw of 164.5?

    A root-cause class exercise

    Hand out the rows and one question. The answer is in the data, not in the brief.

  • A software demo

    Believable generation points with timestamp, energy_type and output_mwh to fill a screen in front of a buyer.

Not quite right?

Make it yours.

Same 12 columns, your size and your rules. See 20 rows before you pay.

Preview 20 rows free

1,000 rows: $1.99 · 10,000: $12.99One-time. No subscription. All prices

This dataset200 rows12 columns
Yours1,000 rows12 columnslocation_latitude: UK only

blueprint · renewable-energy-production-metrics

Behind this dataset

Same schema. As many rows as you need.

These 200 rows came out of a blueprint — 12 columns with generation rules behind each one. Open it in Data Factory to retune a column, add your own, wire in foreign keys, and run it at the size you actually need.

Rules it was built with
  • Record per energy source
  • Include geographic region
  • Flag peak production hours
  • Exclude non-renewable sources
Rows
Open the blueprint in Data Factory

1 credit per row. Preview 20 rows free. Buy rows for the full run.

Exports
CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence
yours to use, including commercially
API slug
renewable-energy-production-metrics

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