The present application discloses an electric energy metering error prediction method and electric energy metering error prediction equipment. The electric energy metering error prediction method comprises the steps of: decomposing an electric energy metering error signal of an electric energy metering device within a target time period to obtain an error trend component time sequence and an error rotational component time sequence; respectively constructing prediction models of the time sequences to obtain a trend component prediction model and a rotational component prediction model correspondingly; predicting electric energy metering errors by utilizing the trend component prediction model and the rotational component prediction model respectively to obtain a trend component prediction value and a rotational component prediction value correspondingly; and superposing the trend component prediction value and the rotational component prediction value to obtain an overall metering error prediction result. According to the electric energy metering error prediction method and the electric energy metering error prediction equipment, the known electric energy metering error signal is decomposed to obtain the error trend component time sequence and the error rotational component time sequence, and the prediction models are constructed based on the two time sequences, thereby realizing the prediction of the overall metering errors of the electric energy metering device.