How to incorporate time-series observations as features?

Hi everyone,

I am working on a classification problem based on time-series observations. Theoretically, I expect that each class has a unique time-series distribution even though the distributions might be very similar.

I use the observations as features. I also include the maximum, minimum, variance, skewness values to capture the characteristics of the distribution.

Is there anything else that can be done? Do you have any further suggestions?

Thank you.

datascience time