Benchmark for Unsupervised Anomaly Detection and Explainability tools for Time Series

This document describes several methods for unsupervised anomaly detection and explainability for time series, and gives some results on the use case Air Liquide EMS. Updates from batch 1 methods are provided as well as presentation of new batch 2 and explainability methods. Finally some perspectives for batch3 activities are given.