Once a device is identified, our software builds and stores an electrical profile for that device. The profile is constantly reviewed for patterns of operation and if an unusual pattern appears, it is logged and notifications are sent alerting the user.
Every network is different, so the user can manage and identify specific patterns that are important to them to track over time. The granularity of the data allows 3DFS technology to identify even the slightest change in behavior. As the database is built, these predictive analytics algorithms adapt to the electrical network power usage patterns and become more accurate.