Using predictive analytics to proactively maintain grid assets and minimize downtime.
Role | Deep Tech Used | Impact Vector | Industry | Impact Vector %Benefit |
---|---|---|---|---|
Head of Digital Applications | Internet of Things (IoT), Machine Learning | Cost | Energy & Utilities | 30% |
Using predictive analytics in grid asset maintenance entails analyzing historical and real-time data to predict when equipment and infrastructure might fail or require maintenance. By identifying potential issues before they become critical, utility companies can schedule preventive maintenance, reduce downtime, and avoid costly emergency repairs. This proactive approach improves the reliability and resilience of the grid, ensuring uninterrupted energy supply to customers while optimizing operational costs.
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