Update forecasts.md

davidusb-geek · Jul 31, 2023 · edb6dfe · edb6dfe
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 New in EMHASS v0.4.0: machine learning forecast models!
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-Starting with v0.4.0, a new forecast framework is proposed within EMHASS. It provides a more efficient way to forecast the power load consumption. It is based on the `skforecast` module that uses `scikit-learn` regression models considering auto-regression lags as features. The hyperparameter optimization is proposed using bayesian optimization from the `optuna` module.
+Starting with v0.4.0, a new forecast framework is proposed within EMHASS. It provides a more efficient way to forecast the power load consumption. It is based on the `skforecast` module that uses `scikit-learn` regression models considering auto-regression lags as features. The hyperparameter optimization is proposed using bayesian optimization from the `optuna` module. To use this change to `method=mlforecaster` in the configuration.
 
 The API provides fit, predict and tune methods.