forecasting

Forecasting implementations for OpenSTEF models.

Concrete forecaster implementations for different ML frameworks. The base Forecaster interface lives in the forecaster module.

Submodules

openstef_models.models.forecasting.base_case_forecaster	Base case forecasting model that uses lag features for predictions.
openstef_models.models.forecasting.constant_quantile_forecaster	Simple constant quantile forecasting model.
openstef_models.models.forecasting.flatliner_forecaster	Simple constant zero forecasting model.
openstef_models.models.forecasting.forecaster	Core forecasting model interfaces and configurations.
openstef_models.models.forecasting.gblinear_forecaster	Gradient Boosted linear forecaster.
openstef_models.models.forecasting.lgbm_forecaster	LightGBM-based forecasting models for probabilistic energy forecasting.
openstef_models.models.forecasting.lgbmlinear_forecaster	LightGBM Linear-based forecasting models for probabilistic energy forecasting.
openstef_models.models.forecasting.median_forecaster	Median regressor based forecasting models for energy forecasting.
openstef_models.models.forecasting.xgboost_forecaster	XGBoost-based forecasting models for probabilistic energy forecasting.