| ---
|
| tags:
|
| - tsfile
|
| - time-series
|
| - tabular
|
| - energy
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| - forecasting
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| - weather
|
| - timeseries
|
| pretty_name: REG-Forecasting
|
| size_categories:
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| - 100K<n<1M
|
| ---
|
|
|
| # REG-Forecasting (TsFile)
|
|
|
| Apache TsFile version of
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| [`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).
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| - **Forecast target:** `value` — generation in that hour.
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| - **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.
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| - **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.
|
| |