Method for optimizing site selection of electric vehicle charging station based on big data analysis

Abstract

The invention discloses a method for optimizing site selection of an electric vehicle charging station based on big data analysis. The method comprises the following steps: obtaining annual total power consumption data and position data of a community in a region and position data of public facilities; determining a total power consumption score weight parameter of the community and a weight parameter of a public facility; calculating weight parameters to form a parameter matrix X; determining a charging pile utilization rate evaluation standard to obtain a classification column vector Y; selecting a training set and a test set, and based on the parameter matrix X and the classification column vector Y, utilizing a decision tree algorithm to obtain a charging station site selection rationality analysis model; inputting the longitude and latitude of the place of the charging station to be built into the model for rationality analysis; and outputting a report. Big data analysis is carried out based on existing data, the decision tree algorithm is adopted to automatically judge the reasonability of site selection of the to-be-built charging station and give a reasonability analysis report, site selection of the electric vehicle charging station is optimized, and then the utilization rate of the charging station is increased.

Description

Technical field [0001] The invention relates to the field of big data analysis, in particular to the technical field of new energy vehicle charging pile construction site selection and electric power big data analysis technology, in particular to a method for optimizing electric vehicle charging station site selection based on big data analysis. Background technique [0002] With the continuous breakthroughs of modern information technologies such as the "Big Cloud and Things Moving Smart Chain", the digital economy has emerged as an important driving force for my country's economic and social development. At the beginning of March 2020, the central government, starting from the overall situation of promoting epidemic prevention and control and economic and social development, made work arrangements to accelerate the construction of new infrastructure (referred to as "new infrastructure"), of which the construction of new energy vehicle charging piles is a focus of "new infrastruc...

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Problems solved by technology

[0005] By comparing the above studies, it can be found that most of the current location planning methods for electric vehicle charging stations require a large amount of real-time location data of electric vehicles. Location data, in fact, cannot be easily grasped by any public organization, so the above research methods are mostly at the theoretical level, and are not applicable in practice

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