This workflow predicts the irregular component of time series (energy consumption) by machine learning models that use lagged values as predictors. The irregular component of time series is what is left after removing the trend and first and second seasonality.
This is a companion discussion topic for the original entry at https://kni.me/w/OX8hN1FnZjKKdxGI