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    Predictive Maintenance for Smarter, More Reliable Power Grids

    Learn how electricity network operators can use operational data, machine learning, and engineering models to identify faults earlier, assess asset health, and improve maintenance decisions. Explore practical predictive maintenance approaches and a real-world case study from Elektro Ljubljana on detecting anomalies in low-voltage distribution networks using smart-meter data.

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