New energy automobile sales prediction method based on least square support vector machine

A support vector machine and new energy vehicle technology, applied in nuclear methods, marketing, etc., can solve problems such as undiscovered patent documents, and achieve the effects of improving prediction accuracy, minimizing structural risks, and simplifying models

Pending Publication Date: 2022-08-09
STATE GRID TIANJIN ELECTRIC POWER +1
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0009] After searching, no published patent documents identical or similar to the present invention were found

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • New energy automobile sales prediction method based on least square support vector machine
  • New energy automobile sales prediction method based on least square support vector machine
  • New energy automobile sales prediction method based on least square support vector machine

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0064] Embodiments of the present invention are described in further detail below in conjunction with the accompanying drawings:

[0065] A new energy vehicle sales forecast method based on least squares support vector machine, such as figure 1 and figure 2 shown, including the following steps:

[0066] Step 1. Establish a forecast model for monthly sales of new energy vehicles based on the least squares support vector machine;

[0067] The specific steps of step 1 include:

[0068] (1) Select the input variable, and divide the training set and the test set to form the sample data set of the least square vector machine model;

[0069] The concrete method of described step 1 (1) step is:

[0070] Use the time series values ​​of the first three months to predict the value of the fourth month, that is, select the monthly sales data of the 1-3 period as the input variable of the model, and the predicted value of the fourth period as the output variable; The initial value of ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention relates to a new energy automobile sales volume prediction method based on a least square support vector machine. The method is characterized by comprising the following steps: step 1, establishing a new energy automobile monthly sales volume prediction model based on the least square support vector machine; and step 2, solving the new energy automobile monthly sales prediction model based on the least square support vector machine constructed in the step 1, and outputting a prediction value. According to the method, the defects of a traditional linear regression model and a support vector machine are overcome, and the prediction precision can be effectively improved.

Description

technical field [0001] The invention belongs to the technical field of prediction of small samples and complex nonlinear problems, and relates to a new energy vehicle sales forecast method, in particular to a new energy vehicle sales forecast method based on a least squares support vector machine. Background technique [0002] The rapid development of the automobile industry is a miracle, but at the same time, about half of the total oil consumption comes from automobiles, and the problems of energy shortage and excessive carbon emissions caused behind it have caused considerable pressure on the economy and the environment , which changed the way people think about cars. [0003] Under the background of dual carbon, the strategy of "green and sustainable development" has been deepened into the development of various industries in my country, and new energy vehicles have emerged as the times require. The use of new energy vehicles can promote the transportation industry to r...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G06Q30/02G06N20/10
CPCG06Q30/0202G06N20/10G06Q30/0201
Inventor 王小璇邓欣宇王晶黄旭刘超杨国朝徐智赵长伟高强伟刘伟陈静陆杨
Owner STATE GRID TIANJIN ELECTRIC POWER
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap