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GE Vernova

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AI-powered grid monitoring combines drones, sensors and predictive analytics to detect transformer and power-network problems earlier, helping utilities target maintenance before failures trigger outages. Representative image.
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AI in power grids: How utilities are learning to find failures before the lights go out

Utilities are combining artificial intelligence with smart meters, drones, cameras, sensors and digital asset models to identify overloaded or deteriorating grid equipment before it causes outages. UK Power Networks, E.ON, Enel, Pacific Gas and Electric Company and National Grid are already deploying or developing different forms of predictive grid intelligence, but imperfect data, cybersecurity, ageing infrastructure and the consequences of incorrect predictions mean human engineering judgement remains central.