Continuing with FIG. 29, the virtual system model database 526 can be configured to store a virtual system model of the electrical system. The virtual system model can be constantly updated with real-time data from the data acquisition hub 112 to effectively account for the natural aging effects of the hardware that comprise the total electrical power system, thus, mirroring the real operating conditions of the system. Moreover, the virtual system model stored in the virtual system model database 526 can be accessed by the power analytic engines (i.e., machine learning engine 2908 and virtual system modeling engine 2922) that are part of the Energy Management System to make various types of power analytics forecasts/predictions including, but not limited to: power system reliability predictions 2928, power system operations forecasts 2926, power system state estimations 2924 and/or power system operational cost predictions (i.e., cost of energy, cost of losses and cost associated with running the electrical system inefficiently).
The real-time historical data trending database 2902 can be configured to store the real-time data output, the predicted data output and the forecasted aspects output from the power analytics server 116 and apply a historical trending algorithm to generate a historical data trending display that is indicative of the historical performance of the electrical system. The historical data trending display can present many different categories of data relating to the historical operation of the electrical system, including but not Limited to:
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- Active Power (kW)
- Reactive Power (kVAR)
