An input element multi-angle refined electric vehicle charging load prediction method

Abstract

This invention discloses a multi-faceted and refined method for predicting electric vehicle charging load, relating to the field of load prediction technology. The method includes the following steps: Step S1: Constructing a system of influencing factors for electric vehicle charging load and quantifying the time series of each influencing factor; Step S2: Based on the system of influencing factors for electric vehicle charging load, using the information gain method to calculate the correlation between different influencing factors and electric vehicle charging load, and filtering them according to a descending order principle to determine the input factor type; Step S3: Selecting similar days for the electric vehicle charging load of the predicted day using grey relational analysis and DTW distance analysis to determine the input order of the input factors; Step S4: Building a prediction model using a deep belief network, and using the determined input factor type and the input order of the input factors as the input to the prediction model, outputting an effective prediction of the electric vehicle charging load.

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