DeepAR-Electricity
In particular, we will see how to:
Prepare the dataset
Use the SageMaker Python SDK to train a DeepAR model and deploy it
Make requests to the deployed model to obtain forecasts interactively
Illustrate advanced features of DeepAR: missing values, additional time features, non-regular frequencies and category information