THULab/reg_forecasting
REG-Forecasting (TsFile) Apache TsFile version of wachawich/REG-Forecasting. Overview Renewable Energy Generation (REG) forecasting data at hourly granularity, spanning 2020-01-01 to 2025-11-19 (UTC). Each record pairs the power generation of a given hour (value) with the meteorological and solar-geometry features for that same hour, for use in generation-forecasting models. Two generation types: type_name = Solar / Wind (fueltype 1 / 2). Forecast target: value —… See the full description on the dataset page: https://huggingface.co/datasets/THULab/reg_forecasting.
REG-Forecasting (TsFile)
Apache TsFile version of `wachawich/REG-Forecasting`.
Overview
Renewable Energy Generation (REG) forecasting data at hourly granularity, spanning 2020-01-01 to 2025-11-19 (UTC). Each record pairs the power generation of a given hour (value) with the meteorological and solar-geometry features for that same hour, for use in generation-forecasting models.
- Two generation types:
type_name=Solar/Wind(fueltype1 / 2). - Forecast target:
value— generation in that hour. - Features: radiation, cloud cover, temperature, humidity, pressure, wind speed/direction, precipitation, plus engineered features such as
day_of_year,sin_doy,cos_doy,season,solar_zenith_noon_deg, and sunrise/sunset times.
Schema (TsFile structure)
- Time (INT64, milliseconds, UTC) — the timestamp of each hourly record.
- type_name (TAG) — the device dimension,
Solar/Wind(2 devices). Query a single type withWHERE type_name='Solar'. - All remaining columns are FIELDs:
valueplus the meteorological and engineered features.
Type mapping: integer columns → INT64, floating-point columns → DOUBLE, string columns → STRING.
Usage
Read data.tsfile with the Apache TsFile Java or Python SDK.
Source & license
- Original dataset: https://huggingface.co/datasets/wachawich/REG-Forecasting
- Author: wachawich
- License: not declared by the original dataset card; please defer to the original dataset.