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smilegeng
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reg_forecasting_v2

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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 "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 286, in get_dataset_config_info
                  for split_generator in builder._split_generators(
                                         ^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/tsfile/tsfile.py", line 271, in _split_generators
                  scan = self._scan_metadata(all_files)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/tsfile/tsfile.py", line 304, in _scan_metadata
                  from tsfile.constants import TIME_COLUMN, ColumnCategory
              ModuleNotFoundError: No module named 'tsfile'
              
              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(
                               ^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 340, in get_dataset_split_names
                  info = get_dataset_config_info(
                         ^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/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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REG-Forecasting_v2 (TsFile)

Apache TsFile version of wachawich/REG-Forecasting_v2.

Overview

Renewable Energy Generation (REG) forecasting data at hourly granularity, spanning 2020-01-01 to 2025-11-19. For each hour it records the generation (value) of two generation types together with the shared meteorological and solar-geometry features. Compared with the v1 dataset, this version adds extra columns such as solar_count, wind_turbine_count, and cyclic time encodings (sin_time, cos_time, day_of_month_sin/cos, month_of_year_sin/cos).

  • Two generation types: type_name = Solar / Wind.
  • Forecast target: value — generation in that hour.
  • Features: radiation, cloud cover, temperature, humidity, pressure, wind speed/direction, precipitation, sunrise/sunset times, and cyclic calendar encodings.

Schema (TsFile structure)

  • Time (INT64, milliseconds) — the hourly timestamp.
  • type_name (TAG) — the device dimension, Solar / Wind. Query one type with WHERE type_name='Solar'.
  • All remaining columns are FIELDs: value plus the meteorological and calendar features.

Type mapping: floating-point → DOUBLE, integers → INT64, strings → STRING. A small number of byte-for-byte duplicate rows (from daylight-saving transitions) were removed so that a single device never carries two points at the same timestamp.

Usage

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

Source & license

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