magneticgalaxyball/tessellate-wind-models

Tessellate Renewables ML Models

Pre-trained machine learning models for renewable energy prediction.

Models

Model	Description	Size
gbm_35sites_v1.joblib	Gradient Boosting wind downscaling model trained on 35 US sites	1.2 MB
gbm_models.joblib	GBM models for ensemble (component)	4.1 MB
rf_models.joblib	Random Forest models for ensemble (component)	98.7 MB
ensemble_best.pkl	Full ensemble model combining GBM, RF, and neural networks	102.7 MB
rapid_aep_v1.joblib	Rapid AEP estimation model for quick site assessment	0.1 MB
smart_layout_v1.joblib	Smart layout optimizer using ML-guided placement	0.7 MB

Usage

from huggingface_hub import hf_hub_download

# Download model
model_path = hf_hub_download(
    repo_id="{repo_id}",
    filename="gbm_35sites_v1.joblib"
)

# Load model
import joblib
model = joblib.load(model_path)

License

Apache 2.0