Abstract: Embodiments of the present disclosure relate to the field of communications, and disclose a traffic prediction method, including: acquiring traffic data of a first preset time period in a historical period, and pre-processing the traffic data; performing empirical mode decomposition (EMD) on pre-processed traffic data to obtain a plurality of component series; using a time series prediction model to fit the plurality of component series, and using a fitted time series prediction model to obtain a plurality of component prediction results for a second preset time period; accumulating all the component prediction results to obtain a traffic prediction result for the second preset time period. The present disclosure further provides a traffic prediction device and a storage medium.

Abstract: Embodiments of the present disclosure relate to the field of communications, and disclose a traffic prediction method, including: acquiring traffic data of a first preset time period in a historical period, and pre-processing the traffic data; performing empirical mode decomposition (EMD) on pre-processed traffic data to obtain a plurality of component series; using a time series prediction model to fit the plurality of component series, and using a fitted time series prediction model to obtain a plurality of component prediction results for a second preset time period; accumulating all the component prediction results to obtain a traffic prediction result for the second preset time period. The present disclosure further provides a traffic prediction device and a storage medium.