The model results showed that predicted spatial surface temperature pattern implemented using the frequency spectrum had better pattern matching with the experimental temperature pattern as compared to that of 2.45 GHz frequency. In the transient temperature profile measurement, the average root mean square error value of 5 locations was 7.5 C in frequency spectrum simulation; whereas, the average root mean square error value was 13.1 C in 2.45 GHz frequency simulation.
Implementing the microwave frequency spectrum in the simulation improved the accuracy of temperature field pattern and transient temperature profile when compared to monochromatic frequency of 2.45 GHz.