Research on Distributed Photovoltaic Power Station Builders Segmentation Based on Data Mining

被引:0
|
作者
Yang, Ke [1 ]
Wang, Hejian [1 ]
Wang, Junsheng [1 ]
Chen, Shaozhen [1 ]
机构
[1] State Grid Elect Commerce Co Ltd, Beijing, Peoples R China
来源
2020 4TH INTERNATIONAL CONFERENCE ON ELECTRICAL, AUTOMATION AND MECHANICAL ENGINEERING | 2020年 / 1626卷
关键词
D O I
10.1088/1742-6596/1626/1/012062
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Simply according to the investment scale of distributed photovoltaic power station builders, the subdivision of the builder fails to fully consider their potential value, thus underestimating the contribution of the builder to the e-commerce platform. This paper constructs the value index evaluation system of the distributed photovoltaic power station from the current value and potential value of the builders. Based on the objective data of the builders and the clustering algorithm, this paper establishes a two-dimensional subdivision model of the builders based on the current value and potential value of the builders. This paper proposes specific marketing strategies for the value characteristics of each type of builders, which provides a scientific basis for e-commerce platform marketing decisions.
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页数:7
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