| 基于用户消费行为的电力数据客户立体画像构建 |
投稿时间：2021-09-01 修订日期：2021-09-10  点此下载全文 |
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| 中文摘要:针对现有技术用户消费行为数据繁多,电力数据分析能力较差的问题,本研究构建出电力数据客户立体画像系统,实现用户消费行为多信息分析。本研究还构建了FCM分类算法模型,实现电力用户消费行为数据信息立体画像原始数据信息分类, 提高了数据分类能力。并构建了灰色 模型实现用电行为数据信息的分析,结果促进电力数据客户立体画像分析和应用能力。试验表明,本研究的方法分类准确率达95%以上,误差在1%以下,准确度高,本研究方法提高了电力用户消费行为数据信息分析能力。 |
| 中文关键词:用户消费行为 电力数据分析 立体画像 数据分类 数据信息 |
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| Analysis of the full-service label system and business scene profile of the distribution station area |
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| Abstract:Aiming at the problem of a large amount of consumer behavior data in the prior art and poor power data analysis capabilities, this research constructs a three-dimensional portrait system of power data customers to realize multi-information analysis of consumer behavior. This research also built the FCM classification algorithm model to realize the classification of the original data information of the three-dimensional portrait of the power user"s consumption behavior data information, and improve the data classification ability. And built a gray G (1, 1) model to realize the analysis of electricity consumption data information, and the results promote the analysis and application capabilities of the power data customers" three-dimensional portraits. Experiments show that the classification accuracy of the method in this study is more than 95%, the error is less than 1%, and the accuracy is high. The method in this study improves the ability of power user consumption behavior data information analysis. |
| keywords:Consumer behavior power data analysis three-dimensional portrait data classification data information |
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