What is Tsfel?

In short, I’ll suggest you try these for feature extraction and check which one works best for you:

There exist different types of Autoencoders such as:

For time series data, feature extraction can be performed using various time series analysis and decomposition techniques . In addition, features can be obtained by sequence comparison techniques such as dynamic time warping and by subsequence discovery techniques such as motif analysis.

Time Series Feature Extraction Library (TSFEL for short) is a Python package for feature extraction on time series data . It provides exploratory feature extraction tasks on time series without requiring significant programming effort.