Eneryield, a Swedish company, specializes in developing advanced machine learning-driven software explicitly designed to forecast and analyze incipient faults. One of their primary products, Intelivew, is created after several years of research at the Chalmers University of Technology. The product utilizes advanced algorithms to forecast and analyze potential faults, helping to avoid interruption by proactive maintenance of components. Such a tool can reduce operation and maintenance costs and evade potential damage to the other components in power systems. The methods can classify and find the root cause of power quality events, which gives the necessary information to take action and reduce the wear and tear of components. They can also model the power grid, which makes it possible to predict power quality events and variations. This can enhance better control of power flow in systems and ease the connection of renewable energy sources.