基于电力大数据的标签画像技术及应用研究

Chunlin Zhong, Hui Lv, Cong Ji, Mingzhu Xu, Chao Fang, Kunming Li
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引用次数: 3

摘要

越来越多的电力大数据应用带来了许多问题,如学习成本的增加和使用门槛的提高,专业的专家可以解读使用数据分析的结果等等。针对这些问题,本文介绍了一种基于电力大数据的标签画像技术,包括其总体思想、技术结构和关键实现技术等。通过研究,将信息系统的数据分析结果在日常生产中解释并翻译成语言文本,具体化呈现,有助于人们关注业务创新和创造。这是电力大数据应用于实际生产管理方法和机制的有益探索和尝试。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on technology and application of tag portrait based on electric power big data
There are many problems caused by more and more electric power big data application such as the increase of learning cost and the use threshold, professional specialists can unscramble the result of using data analysis and so on. According to these problems, this paper introduces a tag portrait technology which is based on electric power big data and includes the general idea, the structure of technology and key implementation technology and so on. The result of data analysis of information system is explained and translated into language text in daily production and concretized presentation by research, which can help people pay attention to business innovation and creation. This is a beneficial exploration and attempt for electric power big data to be used to practical method and mechanism of production management.
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