Advanced topics in time series modeling
In this chapter, we have learned how to configure, build and make predictions with basic time series forecasting models in DataRobot. In the preceding section, our attention was focused on building models that have one-time series. However, you could have a situation where you might have to make multi-time series predictions. Within the context of our energy utilization problem, we might want to forecast the usage of lights and appliances. Elsewhere, an energy company might want to forecast energy usage for differing cities or households within the same model. We will now take a deep dive into solving problems of this nature. Also, we will explore future ways other advanced approaches may be used in assessing our time series models. Finally, we will acknowledge the role of scheduled events on time series and highlight the provisions made by DataRobot to handle this possibility.
The dataset used for this project highlights the energy usage...
