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Datasets:
THUgewu
/
uk_electricity_generation_mix_2019_2026

Tasks:
Time Series Forecasting
Tabular Regression
Modalities:
Tabular
Languages:
English
Size:
100K<n<1M
Tags:
electricity
energy
carbon-intensity
uk
great-britain
grid
Libraries:
pandas
License:
Dataset card Files
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 Community
Dataset Viewer
The dataset viewer is not available for this subset.
Cannot get the split names for the config 'default' of the dataset.
Exception:    SplitsNotFoundError
Message:      The split names could not be parsed from the dataset config.
Traceback:    Traceback (most recent call last):
                File "tsfile/tsfile_py_cpp.pyx", line 567, in tsfile.tsfile_py_cpp.tsfile_reader_new_c
              tsfile.exceptions.FileOpenError: 28: 
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 286, in get_dataset_config_info
                  for split_generator in builder._split_generators(
                                         ~~~~~~~~~~~~~~~~~~~~~~~~~^
                      StreamingDownloadManager(base_path=builder.base_path, download_config=download_config)
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/tsfile/tsfile.py", line 271, in _split_generators
                  scan = self._scan_metadata(all_files)
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/tsfile/tsfile.py", line 318, in _scan_metadata
                  with self._open_reader(file) as reader:
                       ~~~~~~~~~~~~~~~~~^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/tsfile/tsfile.py", line 742, in _open_reader
                  return TsFileReader(file)
                File "tsfile/tsfile_reader.pyx", line 323, in tsfile.tsfile_reader.TsFileReaderPy.__init__
              SystemError: <class '_weakrefset.WeakSet'> returned a result with an exception set
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/split_names.py", line 66, in compute_split_names_from_streaming_response
                  for split in get_dataset_split_names(
                               ~~~~~~~~~~~~~~~~~~~~~~~^
                      path=dataset,
                      ^^^^^^^^^^^^^
                      config_name=config,
                      ^^^^^^^^^^^^^^^^^^^
                      token=hf_token,
                      ^^^^^^^^^^^^^^^
                  )
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 340, in get_dataset_split_names
                  info = get_dataset_config_info(
                      path,
                  ...<6 lines>...
                      **config_kwargs,
                  )
                File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 291, in get_dataset_config_info
                  raise SplitsNotFoundError("The split names could not be parsed from the dataset config.") from err
              datasets.inspect.SplitsNotFoundError: The split names could not be parsed from the dataset config.

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UK Electricity Generation Mix & Carbon Intensity, 2019–2026 (TsFile)

Apache TsFile version of Rif-SQL/uk-electricity-generation-mix-2019-2026.

Overview

Half-hourly electricity generation by fuel type and carbon intensity for Great Britain, sourced from the NESO (National Energy System Operator) Historic GB Generation Mix. Each record is a 30-minute settlement period giving generation (MW) per fuel, aggregated totals, each fuel's share of the mix (percent), and the grid carbon intensity.

  • Time range: 2019-01-01 00:00 → 2026-03-19 21:30 (UTC).
  • Granularity: 30-minute intervals.
  • Records: 126,476.
  • Coverage: one continuous national (GB) series — no per-region/per-unit split.

Schema (TsFile structure)

  • Time (INT64, milliseconds) — the settlement-period timestamp (source DATETIME in UTC).
  • No TAG columns — this is a single national series.
  • FIELD columns (33) — all kept as-is:
    • Generation by fuel (MW): GAS, COAL, NUCLEAR, WIND, WIND_EMB, HYDRO, SOLAR, BIOMASS, STORAGE, IMPORTS, OTHER.
    • Aggregated totals (MW): GENERATION, FOSSIL, LOW_CARBON, ZERO_CARBON, RENEWABLE.
    • Per-fuel / per-group share (percent): the corresponding *_perc columns.
    • CARBON_INTENSITY — grid carbon intensity (gCO₂/kWh).

Column names are lower-cased in the TsFile table.

Usage

Read the .tsfile files with the Apache TsFile Java or Python SDK.

Source & license

Conversion notes

  • Time comes from the source DATETIME column (UTC), parsed to epoch milliseconds; the DATETIME column is folded into Time and not retained as a duplicate field (fixed 30-minute cadence, unique timestamps → lossless).
  • No TAG columns and no rows dropped; all 33 numeric measurement columns are kept as FIELD.
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