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

# REG-Forecasting (TsFile)

Apache TsFile version of
[`wachawich/REG-Forecasting`](https://huggingface.co/datasets/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` — 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 with `WHERE type_name='Solar'`.
- All remaining columns are FIELDs: `value` plus 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.