Datasets:

gft
/

ttm4hvac-source-default-train

pretty_name: TTM4HVAC – Training dataset (source-default)
tags:
  - ttm4hvac
  - hvac
  - time-series
  - energy
task_categories:
  - time-series-forecasting
license: mit
papers:
  - title: >-
      Transfer learning of building dynamics digital twin for HVAC control with
      Time-series Foundation Model
    url: https://arxiv.org/abs/XXXX.XXXXX
    authors: Ferran Aran Domingo

TTM4HVAC – Training dataset (source-default)

This dataset contains HVAC and weather time-series data collected under default building control schedules for the source domain.

It is used to train the gft/ttm4hvac-source-default model.

Check out the paper arXiv:XXXX.XXXXX (to be released) and visit the main repository ttm4hvac for further details.

Columns

time
Outdoor Air Temperature (C)
Heating Setpoint (C)
Cooling Setpoint (C)
Room Air Temperature (C)
Outdoor Humidity (%)
Wind Speed (m/s)
Direct Solar Radiation (W/m^2)
HVAC Power Consumption (W)
series_id
is_default

Usage

from datasets import load_dataset

ds = load_dataset("gft/ttm4hvac-source-default-train")
df = ds["train"].to_pandas()
df.head()

✒️ Citation

If you use this model or datasets, please cite:

**F. Aran**,  
*Transfer learning of building dynamics digital twin for HVAC control with Time-series Foundation Model*,  
arXiv:XXXX.XXXXX, 2025.  
https://arxiv.org/abs/XXXX.XXXXX