Mutual inductor error prediction method and device, electronic equipment and storage medium

Abstract

The invention discloses a mutual inductor error prediction method and device, electronic equipment and a storage medium, and belongs to the technical field of mutual inductor error prediction, and the method comprises the steps: determining a self-adaptive sliding step length according to the mean value and variance of the historical secondary side voltage data of a capacitor voltage transformer; segmenting historical error data of the capacitor voltage transformer into a plurality of sub-time sequences according to the self-adaptive sliding step length; performing iterative training on a neural network model according to a time sequence by using the sub-time sequences to generate an error prediction model, and predicting an operation error of the voltage transformer at the next moment based on the error prediction model; wherein the error prediction model is a relation model of the operation error of the current moment and the previous moment and the operation error of the next moment. According to the method, the time sequence is segmented in different scales, iterative prediction is carried out according to the time sequence dependency relationship, and the accuracy of the prediction model is improved.

Images