摘要
近年来随着智能电能表的普及,对低压居民用户远程费控的逐步实现。低压居民的用电习惯的研究渐渐从抽样分析演变成直接依赖大数据的统计分析,本文利用海量数据平台的低压费控数据,结合人类动力学人类行为统计基本原理,分析了同一低压用户重复费控停电时间间隔的关系,得出了费控停电事件时间间隔关系。
In recent years, with the popularity of smart meter, remote charge control for low voltage resident users has been realized step by step. The research of low-voltage electrical habits gradually evolved into a direct dependence from the sample analysis of statistical data analysis, this paper use the low - cost control data of massive data platform, and combine the basic principles of human dynamics behavior statistics to analyze the same low - voltage user repetition fee control the relationship between the time interval of power outages, and the time interval relationship of cost controlled service interruption event is obtained.
出处
《电力大数据》
2017年第9期42-45,共4页
Power Systems and Big Data
关键词
大数据
费控停电
人类动力学
big data
cost controlled service interruption
principles of human dynamics
