Hugging Face's logo

Datasets:
openclimatefix
/
uk_pv

Tasks:
Time Series Forecasting
Sub-tasks:
multivariate-time-series-forecasting
Languages:
English
Size:
1B<n<10B
Tags:
pv
photovoltaic
environment
climate
energy
electricity
DOI:
License:
Dataset card Files Community
18

You need to agree to share your contact information to access this dataset

This repository is publicly accessible, but you have to accept the conditions to access its files and content.

Log in or Sign Up to review the conditions and access this dataset content.

UK PV dataset

Domestic solar photovoltaic (PV) power generation data from the United Kingdom. This dataset contains data from over 30,000 solar PV systems. The dataset spans 2010 to 2025. The dataset is updated with new data every few months.

All PV systems in this dataset report cumulative energy generation every 30 minutes. This data represents a true accumulation of the total energy generated in the last half hour. This cumulative value is calculated on the meter itself. As such, the 30-minute data is generally of high quality and low noise, and should be the preferred source of data.

Of the 30,000 systems, about 1,309 of the solar PV systems also report instantaneous readings every 5 minutes. This data is recorded in the *_5min.parquet files. Please note that this data is noisy because these readings are instantaneous, and solar PV systems respond within milliseconds to changes in solar irradiance. And even small, wispy clouds can cause changes in solar irradiance! The 30-minutely data is not an aggregation of the 5-minutely data. The 5-minutely data is instantaneous. The 30-minutely data is a true sum of the total energy produced over the time period.

The data is recorded by professional meters, wired into the AC side of the inverter.

To protect the privacy of the solar PV system owners, we have reduced the precision of the geographical location of each PV system to about 1 kilometer. If you are the owner of a PV system in the dataset, and do not want your solar data to be shared then please email us at info@openclimatefix.org.

This dataset is made possible by Sheffield Solar.

Files

  • metadata.csv: The geographical location, orientation, tilt, and nominal generation capacity for each solar PV system.
  • data/YYYY/MM/YYYYMM_{5,30)min.parquet: Energy production time series data for each solar PV system, for one month.
  • data/YYYY/YYYY_{5,30}min.parquet: All the energy production data for an entire year in one file. Note that this "yearly" file is only created once the year is complete, and is not available for all years.

metadata.csv

Metadata of the different PV systems.

The csv columns are:

  • ss_id: The Sheffield Solar identifier of the solar PV system.
  • latitude_rounded: Latitude of the PV system, rounded to approximately the nearest km.
  • longitude_rounded: Longitude of the PV system, rounded to approximately the nearest km.
  • orientation: The orientation of the PV panels, in degrees.
  • tilt: The tilt of the PV panels with respect to the ground, in degrees. 0 degrees would be horizontal (parallel to the ground). 90 degrees would be standing perpendicular to the ground.
  • kWp: The nominal power generation capacity of the PV system (kilowatts peak). Note that some PV systems may occasionally produce more than the nominal capacity.

Legacy files (these will be removed soon):

  • 2min.parquet: Power output for PV systems every 2 minutes.
  • 5min.parquet: Power output for PV systems every 5 minutes.
  • 30min.parquet: Power output for PV systems every 30 minutes.
  • pv.netcdf: Time series of PV solar generation every 5 minutes.
  • uk_pv.py

{2,5,30}min.parquet

Time series of solar generation for a number of systems.

The files contain 3 columns:

  • ss_id: The Sheffield Solar ID of the system.
  • datetime_GMT: The datetime of the recording in Greenwich Mean Time (UTC+0). Each row represents data for the time period ending at the datetime_GMT. For example, a row with a timestamp of 12:00 in a 30min.parquet file would represent the total energy generated from 11:30 to 12:00.
  • generation_Wh: The energy generated in the period (in Watt hours) at the given timestamp for the given system. One "Watt hour" is the amount of energy generated in one hour if the power output is one watt. So, to calculate the average power (in Watts), multiply the generation_Wh by 12 in the 5-minutely datasets; or multiple generation_Wh by 2 in the 30-minutely datasets.

pv.netcdf (legacy)

Time series data of PV solar generation data is in NetCDF format, suitable to reading by xarray.

The data variables are the same as 'ss_id' in the metadata. Each data variable contains the solar generation (in kW) for that PV system. The ss_id's here are a subset of all the ss_id's in the metadata The coordinates of the date are tagged as 'datetime' which is the datetime of the solar generation reading.

This is a subset of the more recent 5min.parquet file.

useful links

https://huggingface.co/docs/datasets/share - this repo was made by following this tutorial

Downloads last month
128