中国电力 ›› 2017, Vol. 50 ›› Issue (10): 176-180.DOI: 10.11930/j.issn.1004-9649.201602019

• 技术经济 • 上一篇    下一篇

基于大数据的业扩用户用电行为特征研究

周琪1, 杨洁2, 韩俊杰3, 罗欣3, 赵燃3   

  1. 1. 国网江苏省电力公司,江苏 南京 210024;
    2. 国网盐城供电公司,江苏 盐城 224005;
    3. 北京清软创新科技股份有限公司,北京 100085
  • 收稿日期:2016-02-06 出版日期:2017-10-25 发布日期:2017-10-30
  • 作者简介:周琪(1968—),女,江苏南通人,高级工程师,从事电力企业计划管理和市场研究。E-mail: 427875743@qq.com

Research on Electricity Consumption Behaviors of the Capacity Expansion Users Based on Big Data Analysis

ZHOU Qi1, YANG Jie2, HAN Junjie3, LUO Xin3, ZHAO Ran3   

  1. 1. State Grid Jiangsu Electric Power Company, Nanjing 210024, China;
    2. State Grid Yancheng Power Supply Company, Yancheng 224005, China;
    3. Beijing Tsingsoft Technology Co., Ltd., Beijing 100085, China
  • Received:2016-02-06 Online:2017-10-25 Published:2017-10-30

摘要: 电力用户的业扩报装容量直接影响着地区用电的未来增长空间。以容量与用电量间的关系研究作为切入点,应用大数据分析的方法研究了各用户多种类型的业扩容量转换为用电量的周期特征,从电量产生的机理出发,分析了业扩业务产生后电量的变化情况,可以为后续的电量变化空间的科学预估提供全面的信息支撑。

关键词: 业扩报装, 容量利用小时数, 生长曲线, 大数据

Abstract: The capacity of business expansion has a close connection with the electricity consumption level. This paper analyses the relationship between the capacity and power consumption, and uses the big data method to study the periodic characteristics for various business expansion capacities to be changed into the electricity consumption levels of electricity users. Based on the mechanism of electricity consumption, the change of the electricity consumption with the business expansion is analyzed, which can provide a comprehensive information support for improving the forecast of electricity consumption.

Key words: business expansion, capacity utilization hours, growth curve, big data

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