Prediction of evolving cable faults - A customized solution for Unipower

The customer works with power quality and sells measuring equipment to grid owners. The customer is good at measuring and has infrastructure for communication and storage of data, but lacks know-how when it comes to data-driven analysis.

With the electrification of society, ever higher demands are placed on grid owners, and with the increased complexity of the electricity network, it becomes more challenging to maintain stable power supply. The customer has noted that their customers are in need of new services that enable a proactive approach to O&M.

Eneryield provides an ML method for predicting incipient cable faults. The solution can predict outages before they occur. The approach is complementary to Unipower's current setup and needs.

The project will result in a for Unipower customized module and interface. The module can receive data from the customer's platform in real time, perform analysis and deliver back, and visualize a resu