The invention discloses a data prediction method and device based on a time sequence model, and the method comprises the steps: collecting historical data in a preset time range, and carrying out the normalization processing of the historical data; predicting the normalized historical data by using each network model in the trained time sequence model to obtain prediction data corresponding to each network model; and according to the prediction data corresponding to each network model, utilizing a linear regression model to obtain prediction data of a predetermined time point.