基于电力用户用电行为画像的个性化营销方法

Personalized Marketing Method Based on Power User Electricity Consumption Behavior Profiling

针对现有电力营销方法在实际应用中存在严重不合理、无法满足用户用电负荷所需或造成电力资源严重浪费等问题,引入电力用户用电行为画像理论,开展对个性化营销方法的设计研究。利用电力用户用电行为画像,生成特征标签;结合t-SNE降维,提取日典型负荷;通过对峰、谷、平时段电价调整,达到削峰填谷的目的,实现个性化电力营销。结果表明,采用新的营销方法提供的电力负荷能在充分满足用户用电的同时,减少电力资源的浪费,提升电力企业的经济效益。

In response to the serious irrationality of existing power marketing methods in practical applications,which cannot meet the needs of users′electricity load or cause serious waste of electricity resources,the theory of electricity user behavior profiling is introduced to carry out design research on personalized marketing methods.Generate feature labels by using electricity user behavior profiling.Combining t-SNE dimensionality reduction to extract daily typical loads.By adjusting the electricity prices during peak,valley,and regular periods,the goal of peak shaving and valley filling is achieved,and personalized electricity marketing is achieved.The results show that the power load provided by the new marketing method can fully meet the needs of users,reduce the waste of power resources,and promote the economic benefits of power enterprises.