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smilegeng
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reg_forecasting_v2

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tsfile
time-series
tabular
energy
forecasting
weather
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metadata 
tags:
  - tsfile
  - time-series
  - tabular
  - energy
  - forecasting
  - weather
  - timeseries
pretty_name: REG-Forecasting_v2
size_categories:
  - 100K<n<1M

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