In nature there are many events which occur periodically, here were are trying to identify such time-series sequence which is associated entity/label and the end goal is to learn time-series with label and predict the label at given time.
Examples of time-series can be retail sales, weather forecast, power consumption, peak hours of taxi and so on.
Date: 28.10.2022
Task:
Take a look at Multisequence Learning Experiment that demonstrates prediction by giving one element, then second one and then third one and so on.. Create some test sequence of power data and play with it.