Power monitoring systems, with all the benefits they provide, are partial solutions in the modernization of industrial power systems. Massive data is collected and logged for the system historian to trend and display on command. This paper presents, by use of online/off-line simulation of real-time data and by supervisory control, an approach that allows the monitored data to be used to assist operators in predicting system response and behavior for automating system control and providing operator training. 4

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