Roundtable Discussion: Enhancing Operator Awareness with Anomaly Detection

SCADA systems are used to monitor and control our water and wastewater infrastructure and facility processes by collecting real-time data from sensors and field devices. The traditional SCADA system merges real-time and historical data to support operator decisions for meeting process goals. By applying machine learning, we can enhance predicative capabilities to streamline the decision-making process in industrial environments.

This presentation will discuss why SCADA is an ideal application for machine learning, the challenges of applying machine learning, different approaches to anomaly detection, and a case study.

There is no cost, and you don't need to register.  For Zoom connection information, please email Cynthia.Barnes@vaawwa.org.