Finding anomalies in the IoT Time series data is very crucial for IoT industries wrt ROI on the investments made on IoT and also increasing the business revenues.

IoT businesses have moved from the adoption and data collection phase to monetizing the data and using it to predict and plan the failures using Anomaly detection and other machine learning techniques. Anomaly detection in IoT is one of emerging research areas which can save Billions of dollars for the IoT industries pursuing Industrial 4.0, Smart energy, Smart utility, Electric vehicles and Connected batteries.