Case Study: a US electric utility achieves real-time grid resilience and 10X faster image processing with Persistent Systems

Real-time data analytics help US-based electric utility mitigate asset failures

The client, a global energy and sustainability advisory firm, was assisting a major US electric utility with a grid resilience project. The challenge involved processing vast amounts of unstructured and structured image data from utility assets in real-time to predict energy demand surges and prevent system failures. The firm engaged Persistent Systems to develop a solution for this critical need.

Persistent Systems implemented an image analytics framework on Google Cloud, utilizing VertexAI, Cloud Composer, and Dataflow. This event-based solution provided near-real-time insights and object detection. The outcome was a 10x improvement in data processing capabilities, enabling real-time feedback to vendors and allowing the utility to more effectively mitigate potential hazards.