Electricity consumption anomaly detection
Primary Industries and Infrastructure
Energy & Utilities
In the electricity consumption data of buildings it is hard to see where the electricity is being used for. This makes it hard to detect a malfunctioning piece of equipment.
In one of these systems fails or is misconfigured this It can cause negative effects, such as fire.
We have developed a machine learning algorithm that automatically defines the type of object (e.g. supermarket, high school)
The system assesses energy consumption detects and categorizes anomalies in real time.
The solution was deployed on Data Lake ecosystem and integrated with Spark and Hadoop.