metadata
library_name: granite_tsfm
base_model: ibm-granite/granite-timeseries-ttm-r2
tags:
- ttm4hvac
- tsfm
- digital twin
- hvac
- energy
- experiment
license: apache-2.0
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
datasets:
- gft/ttm4hvac-source-default-train
- gft/ttm4hvac-target-heat-test
- gft/ttm4hvac-target-cool-test
pipeline_tag: time-series-forecasting
TTM4HVAC – TinyTimeMixer for HVAC dynamics modeling
This repository contains the TTM4HVAC – source-default fine-tuned TinyTimeMixer model.
It corresponds to the “source-default” experiment described in the TTM4HVAC paper, where the model is trained only on default rule-based control (RBC) trajectories across all simulated source buildings and climates.
This model is part of the TTM4HVAC family, but is not the main recommended checkpoint.
For full documentation, usage examples, and the best-performing model, please visit:
👉 Main model card: https://huggingface.co/gft/ttm4hvac