摘要
为提高大型供电企业电力营销管理水平,提出一种基于统计回归分析的大型供电企业电力营销管理总体策略优化模型,建立大型供电企业电力营销的大数据分析模型,采用数据挖掘方法进行大型供电企业电力营销统筹数据关联规则挖掘,结合自适应的信息融合方法进行大型供电企业电力营销数据预测,根据预测结果进行销售数据的统计回归分析,根据回归分析结果进行样本检验,结合数据分析结果实现大型供电企业电力营销管理的总体策略优化。仿真结果表明,采用该方法进行大型供电企业电力销售数据的预测准确性较高,提高了大型供电企业电力营销管理能力。
In order to improve the level of power marketing management in large power supply enterprises,a general strategy optimization model of power marketing management for large power supply enterprises based on statistical regression analysis is proposed. The big data analysis model of power marketing of large power supply enterprises is established,and the data mining method is adopted to mine the data association rules of power marketing in large power supply enterprises. Combining the adaptive information fusion method to predict the power marketing data of the large power supply enterprises,the statistical regression analysis of the sales data is carried out according to the forecast results,and the sample test is carried out according to the results of the regression analysis. According to the results of data analysis,the overall strategy optimization of power marketing management in large power supply enterprises is realized.The simulation results show that the prediction accuracy of the power sales data of large power supply enterprises is high,and the power marketing management ability of large power supply enterprises is improved.
作者
殷秀颜
陈婕
郑学青
于姝
YIN Xiuyan;CHEN Jie;ZHENG Xueqing;YU Shu(Guangzhou Power Supply Bureau Customer Service Center,GnangZhou Guangdong ,510620,China)
出处
《自动化与仪器仪表》
2019年第2期39-42,共4页
Automation & Instrumentation
关键词
供电企业
电力营销管理
总体策略
大数据分析
power supply enterprise
electric power marketing management
overall strategy
big data analysis
作者简介
殷秀颜(1980-),女,广东人,工程硕士,主要研究方向为供电企业营销服务管理、呼叫中心运营管控、客户问题管控、供电服务调度管理。
