Abstract:

Comparing the simulation output with the reference output is one of the most popular methods to validate simulation models. For a simulation model whose output is the nonstationary fast data, a validation method based on empirical modal decomposition and grey relevance analysis is proposed. The simulation output and reference output are both decomposed into trend items and stationary items. The difference of trend items is depicted by the differences of position and shape, the difference of stationary items is depicted by the difference of spectral density, the weight of each difference is obtained by using the entropy weight, and the three kinds of differences are integrated based on grey relevance analysis to get the validation result. Finally, the effectiveness of the method is verified by an example.