Chapter 6. Forecasting your company’s monthly power usage
This chapter covers
- Preparing your data for time-series analysis
- Visualizing data in your Jupyter notebook
- Using a neural network to generate forecasts
- Using DeepAR to forecast power consumption
Kiara works for a retail chain that has 48 locations around the country. She is an engineer, and every month her boss asks her how much energy they will consume in the next month. Kiara follows the procedure taught to her by the previous engineer in her role: she looks at how much energy they consumed in the same month last year, weights it by the number of locations they have gained or lost, and provides that number to her boss. Her boss sends this estimate to the facilities management teams ...
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