电信科学 ›› 2013, Vol. 29 ›› Issue (11): 109-114.doi: 10.3969/j.issn.1000-0801.2013.11.019

• 电力信息化专栏 • 上一篇    下一篇

电力数据中的幂律分布特性

王冠男,邓春字,赵悦,郑亚芹   

  1. 北京国电通网络技术有限公司大数据业务部 北京100070
  • 出版日期:2013-11-20 发布日期:2017-07-04

Power Law Distribution in Electric Power Data

Guannan Wang,Chunyu Deng,Yue Zhao,Yaqin Zheng   

  1. Department of Big Data, Beijing Guodiantong Network Techndogy Co., Ltd., Beijing 100070,China
  • Online:2013-11-20 Published:2017-07-04

摘要:

数据的探索性分析在数据挖掘和分析的整体过程中具有举足轻重的作用。主要针对电力数据中具有非正态分布特征的数据进行分析研究。首先,采用统计分析的方法对电力数据中的用电量、售电量和发电量几个核心指标在地域上的分布规律进行统计分析,经验证,这些指标不符合正态分布,并且得到其幂律分布特性;然后,验证了细分行业的用电量符合对数正态分布;最后,结合电力业务背景,挖掘电力数据具有幂律分布以及用电量符合对数正态分布的原因。

关键词: 电力指标, 幂律分布, 对数正态分布

Abstract:

The explorative analysis plays an important role in the process of data mining. The non-normally distributed data in the electric power data was analyzed. Firstly,the distribution law of generated energy, electricity sales and electricity consumption with statistical methods across the province within the business area of SGCC were analyzed, and it was found that these indices were not normally distributed but follow the power law distribution. Then the electricity consumption of subdivided trade follows the log-normal distribution was proved. At last, the reasons that these data are not normally distributed were given.

Key words: indices of electricity, power law distribution, log-normal distribution

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