Technical requirements
You will need to set up the Anaconda environment following the instructions in the Preface of the book to get a working environment with all the libraries and datasets required for the code in this book. Any additional library will be installed while running the notebooks.
You will need to run the following notebooks before using the code in this chapter:
02-Preprocessing_London_Smart_Meter_Dataset.ipynb
inChapter02
01-Setting_up_Experiment_Harness.ipynb
inChapter04
02-Baseline_Forecasts_using_darts.ipynb
inChapter04
01-Feature_Engineering.ipynb
inChapter06
02-Dealing_with_Non-Stationarity.ipynb
inChapter07
02a-Dealing_with_Non-Stationarity-Train+Val.ipynb
inChapter07
00-Single_Step_Backtesting_Baselines.ipynb
inChapter08
01-Forecasting_with_ML.ipynb
inChapter08
01a-Forecasting_with_ML_for_Test_Dataset.ipynb
inChapter08
02-Forecasting_with_Target_Transformation.ipynb
inChapter08
...