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The ability to analyse and manage vast volumes of data is increasingly important in order to improve operational efficiency and the reliability of the electricity network.
Predictive analytics use the massive amounts of data available today and to inform realtime decisions that have a significantly positive impact on reliability and performance.
In particular, predictive analytics provide early warning of equipment failure and abnormal operating conditions that may go unnoticed within the realm of traditional maintenance practices.
Therefore, it can be used to enable smart energy grid management, minimize outages as well as improve equipment reliability and performance while avoiding potential failures.