基于FP增长挖掘模型的全社会行业用电关联规则分析

Association Rules Analysis in Electric Marketing Based on the FP-growth Data Mining Algorithm

针对全社会行业用电量分析预测的难题,文章提出了将数据挖掘领域中的FP增长模型应用于国家电网公司行业用电分析预测活动中,通过对模型的灵活运用,完成了对全社会行业用电关联规则分析。为国家电网公司各级管理人员,更准确地掌握各行业间用电量变动的相互影响,从而更有效地安排生产、开展输配电工作提供有力的帮助。

To solve the problem of forecasting and analyzing the quantity of electricity among all industries, the FP-growth algorithm was proposed in this paper, and association rules analysis of the quantity of electricity was completed by using it. The promising results obtained in this paper will help every manager of state grid accurately master the change interrelationship of the quantity of electricity among every industry, and effectively arrange the job of transmission and distribution.