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 fre-quency. 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 simula-tion improved the accuracy of temperature field pattern and tran-sient temperature profile when compared to monochromatic frequency of 2.45 GHz.