The invention relates to a bus peak load prediction method considering complex meteorological influence, and belongs to the technical field of bus peak load prediction. According to the method, the feature importance degree result of the condition mutual information on the to-be-selected features in the original feature set is used as the basis, and an IPSO-ELM serves as a predictor, forward feature selection is performed, an optimal characteristic set of bus peak load prediction is determined; the influence of characteristic redundancy on the prediction precision during bus peak load prediction is reduced; and optimal prediction models are constructed for different buses, so that the prediction precision of different buses is effectively improved, an improved particle swarm optimization extreme learning machine is introduced to be combined with a linear method, peak load prediction in different scenes is carried out, and the prediction requirements in small-sample or sample-free scenes are met.