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Abstract

Disclosed are a method of establishing a charging capacity prediction model based on meteorological factors and charging facility failures and its prediction method and system. The method includes: receiving charging capacity data of a charging facility and meteorological data of its location; extracting the number of random failures based on time from the charging capacity data, and obtaining the probability of failure from the probability mass function; performing a correlation test of the meteorological data with the charging capacity in the charging capacity data to obtain at least one feature factor; decomposing the time series of the charging data, and transforming to obtain the time series of charging data based on the time domain after noise reduction; and establishing a prediction model, using the probability values and feature factors as reference features, and using the charging time series data as a predictive target to train the prediction model.

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