Technical requirements

If you have not set up the Anaconda environment following the instructions in the Preface, please do that in order to get a working environment with all the packages and datasets required for the code in this book.

You need to run the following notebooks for this chapter:

• 02 - Preprocessing London Smart Meter Dataset.ipynb in Chapter02
• 01-Setting up Experiment Harness.ipynb in Chapter04
• 01-Feature Engineering.ipynb in Chapter06
• 02-One-Step RNN.ipynb and 03-Seq2Seq RNN.ipynb in Chapter13 (for benchmarking)
• 00-Single Step Backtesting Baselines.ipynb and 01-Forecasting with ML.ipynb in Chapter08

The associated code for the chapter can be found at https://github.com/PacktPublishing/Modern-Time-Series-Forecasting-with-Python-/tree/main/notebooks/Chapter14.