Dataset Preview
The full dataset viewer is not available (click to read why). Only showing a preview of the rows.
The dataset generation failed because of a cast error
Error code: DatasetGenerationCastError
Exception: DatasetGenerationCastError
Message: An error occurred while generating the dataset
All the data files must have the same columns, but at some point there are 21 new columns ({'solar_irradiance', 'return_temp_quality', 'total_volume', 'temp_diff', 'total_energy', 'humidity', 'power', 'type', 'time', 'flow_temp', 'flow_rate', 'return_temp', 'wind_speed', 'ambient_temp', 'flow_temp_quality', 'total_volume_quality', 'total_energy_quality', 'temp_diff_quality', 'da_price_eur_mwh', 'power_quality', 'flow_rate_quality'}) and 1 missing columns ({'endpoint_id'}).
This happened while the csv dataset builder was generating data using
hf://datasets/jantheman/heating-grid-forecast-data/epronet_full_20260427.csv (at revision 533cb0a9ad56843a12da8154d789e233b1b6f4e4), ['hf://datasets/jantheman/heating-grid-forecast-data@533cb0a9ad56843a12da8154d789e233b1b6f4e4/epronet_anon_mapping_20260427.csv', 'hf://datasets/jantheman/heating-grid-forecast-data@533cb0a9ad56843a12da8154d789e233b1b6f4e4/epronet_full_20260427.csv', 'hf://datasets/jantheman/heating-grid-forecast-data@533cb0a9ad56843a12da8154d789e233b1b6f4e4/graph/consumer_mapping.csv', 'hf://datasets/jantheman/heating-grid-forecast-data@533cb0a9ad56843a12da8154d789e233b1b6f4e4/weather/holidays_bavaria.csv', 'hf://datasets/jantheman/heating-grid-forecast-data@533cb0a9ad56843a12da8154d789e233b1b6f4e4/weather/weather_memmingen_hourly.csv']
Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1848, in _prepare_split_single
writer.write_table(table)
~~~~~~~~~~~~~~~~~~^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 784, in write_table
self._write_table(pa_table, writer_batch_size=writer_batch_size)
~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 795, in _write_table
pa_table = table_cast(pa_table, self._schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2378, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
time: string
endpoint_anon: string
type: string
flow_rate: double
flow_rate_quality: int64
flow_temp: double
flow_temp_quality: int64
return_temp: double
return_temp_quality: int64
temp_diff: double
temp_diff_quality: double
power: double
power_quality: int64
total_energy: double
total_energy_quality: int64
total_volume: double
total_volume_quality: int64
ambient_temp: double
humidity: double
solar_irradiance: double
wind_speed: double
da_price_eur_mwh: double
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 3022
to
{'endpoint_id': Value('int64'), 'endpoint_anon': Value('string')}
because column names don't match
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1369, in compute_config_parquet_and_info_response
parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
~~~~~~~~~~~~~~~~~~~~~~~~~^
builder, max_dataset_size_bytes=max_dataset_size_bytes
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1694, in _prepare_split
for job_id, done, content in self._prepare_split_single(
~~~~~~~~~~~~~~~~~~~~~~~~~~^
gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
):
^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1850, in _prepare_split_single
raise DatasetGenerationCastError.from_cast_error(
...<4 lines>...
)
datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
All the data files must have the same columns, but at some point there are 21 new columns ({'solar_irradiance', 'return_temp_quality', 'total_volume', 'temp_diff', 'total_energy', 'humidity', 'power', 'type', 'time', 'flow_temp', 'flow_rate', 'return_temp', 'wind_speed', 'ambient_temp', 'flow_temp_quality', 'total_volume_quality', 'total_energy_quality', 'temp_diff_quality', 'da_price_eur_mwh', 'power_quality', 'flow_rate_quality'}) and 1 missing columns ({'endpoint_id'}).
This happened while the csv dataset builder was generating data using
hf://datasets/jantheman/heating-grid-forecast-data/epronet_full_20260427.csv (at revision 533cb0a9ad56843a12da8154d789e233b1b6f4e4), ['hf://datasets/jantheman/heating-grid-forecast-data@533cb0a9ad56843a12da8154d789e233b1b6f4e4/epronet_anon_mapping_20260427.csv', 'hf://datasets/jantheman/heating-grid-forecast-data@533cb0a9ad56843a12da8154d789e233b1b6f4e4/epronet_full_20260427.csv', 'hf://datasets/jantheman/heating-grid-forecast-data@533cb0a9ad56843a12da8154d789e233b1b6f4e4/graph/consumer_mapping.csv', 'hf://datasets/jantheman/heating-grid-forecast-data@533cb0a9ad56843a12da8154d789e233b1b6f4e4/weather/holidays_bavaria.csv', 'hf://datasets/jantheman/heating-grid-forecast-data@533cb0a9ad56843a12da8154d789e233b1b6f4e4/weather/weather_memmingen_hourly.csv']
Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
endpoint_id int64 | endpoint_anon string |
|---|---|
28 | CONS_001 |
29 | CONS_002 |
30 | CONS_003 |
31 | CONS_004 |
32 | CONS_005 |
33 | CONS_006 |
34 | CONS_007 |
35 | CONS_008 |
36 | CONS_009 |
39 | CONS_010 |
40 | CONS_011 |
41 | CONS_012 |
42 | CONS_013 |
43 | CONS_014 |
44 | CONS_015 |
45 | CONS_016 |
37 | CONS_017 |
38 | CONS_018 |
48 | CONS_019 |
46 | CONS_020 |
47 | CONS_021 |
49 | CONS_022 |
50 | CONS_023 |
51 | CONS_024 |
52 | CONS_025 |
53 | CONS_026 |
54 | CONS_027 |
null | CONS_001 |
null | CONS_002 |
null | CONS_003 |
null | CONS_004 |
null | CONS_005 |
null | CONS_006 |
null | CONS_007 |
null | CONS_008 |
null | CONS_009 |
null | CONS_010 |
null | CONS_011 |
null | CONS_012 |
null | CONS_013 |
null | CONS_014 |
null | CONS_015 |
null | CONS_016 |
null | CONS_017 |
null | CONS_018 |
null | CONS_019 |
null | CONS_020 |
null | CONS_021 |
null | CONS_022 |
null | CONS_023 |
null | CONS_024 |
null | CONS_025 |
null | CONS_026 |
null | CONS_027 |
null | CONS_001 |
null | CONS_002 |
null | CONS_003 |
null | CONS_004 |
null | CONS_005 |
null | CONS_006 |
null | CONS_007 |
null | CONS_008 |
null | CONS_009 |
null | CONS_010 |
null | CONS_011 |
null | CONS_012 |
null | CONS_013 |
null | CONS_014 |
null | CONS_015 |
null | CONS_016 |
null | CONS_017 |
null | CONS_018 |
null | CONS_019 |
null | CONS_020 |
null | CONS_021 |
null | CONS_022 |
null | CONS_023 |
null | CONS_024 |
null | CONS_025 |
null | CONS_026 |
null | CONS_027 |
null | CONS_001 |
null | CONS_002 |
null | CONS_003 |
null | CONS_004 |
null | CONS_005 |
null | CONS_006 |
null | CONS_007 |
null | CONS_008 |
null | CONS_009 |
null | CONS_010 |
null | CONS_011 |
null | CONS_012 |
null | CONS_013 |
null | CONS_014 |
null | CONS_015 |
null | CONS_016 |
null | CONS_017 |
null | CONS_018 |
null | CONS_019 |
End of preview.
YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
Heating Grid Probabilistic Forecasting — Data
Historic heat-load data and grid topology for a district heating grid with 30+ end users, roughly 2 years of history. Used to build and benchmark probabilistic forecasting models (XGBoost, GNN) that output 10 quantiles and a parametric Johnson SU distribution.
Expected layout
data/ historic meter data (CSV/Parquet, one row per timestamp per end user)
graph/ grid topology: nodes (end users, junctions, plant) and edges (pipes)
weather/ (optional) historic weather series aligned to the same timestamps
Upload your files into the matching folder (or any layout — the ingestion script will be
adapted to what you actually provide). Please also include a short data/README.md or a
few sample rows describing the columns: timestamp format/timezone, unit of the heat
measurement (kWh, kW, MWh), and how end users are identified.
Companion code
The model framework and benchmark live in a separate repository, created from this data.
- Downloads last month
- 78