基于大数据分析的自动停电研判算法研究

Research on automatic power outage judgment algorithm based on big data analysis

随着我国经济社会和科学技术的快速发展,人们对电力的需求日益增加,电力供应逐渐成为电网企业管理的重点。提高供电的可靠性一方面能满足人们的生活需求,另一方面能增加电量的销售额度。大数据是在互联网高速发展的基础上产生的一种数据分析方法,通过大数据可以促进对停电数据的科学分析,得出可靠以及高度可行的自动停电研判算法。文章从大数据本身的内涵和价值以及应用出发,分析大数据在自动停电研判算法分析中的应用,对大数据分析之下的自动停电研判算法进行概述,以满足社会用电需求。

With the rapid development of China's economy,society and science and technology,people's demand for electricity has increased,which makes effective electricity supply become the focus of power grid enterprise management.On the one hand,improving the reliability of power supply can meet people's living needs,and on the other hand,it can increase the sales of electricity,and promote the dual development of social and economic benefits.Reducing the number of power outages and shortening the duration of power outages is one of the important means to promote power supply.Big data is a data analysis method generated on the basis of the rapid development of the Internet.Big data can promote scientific analysis of power outage data,thereby obtaining reliable and highly feasible automatic power outage judgment algorithms.Starting from the connotation,value and application of big data itself,this paper analyzes the application of big data in the analysis of automatic power outage judgment algorithm,and summarizes the automatic power outage judgment algorithm under big data analysis,in order to meet the social demand for electricity.