In step 2306, the actual real-time sensory data 2307 (e.g., voltage, frequency, power factor, harmonics waveform, power quality, loading, capacity, etc.) readings can be acquired by sensor clusters that are integrated with various power system equipment/components that are distributed throughout the power facility. These sensor clusters are typically connected to a data acquisition hub that is configured to provide a real-time feed of the actual sensory data 2307 to the power analytics server. The actual real-time sensory data 2307 can be comprised of “l(fā)ive” sensor readings that are continuously updated by sensors that are interfaced with the facility equipment to monitor power system parameters during the operation of the facility. Each piece of facility equipment can be identified by a unique equipment ID that can be cross referenced against a virtual counterpart in the virtual system model of the facility. Therefore, direct comparisons (as depicted in step 2308) can be made between the actual real-time equipment sensor data 2307 readings from the actual facility and the predicted equipment sensor data 2304 from a virtual system model of the actual facility to determine the overall health and performance of each piece of facility equipment and also the overall power system facility as a whole.