应用于电力营销的数据分析模型

Data Analysis Model Applied to Power Marketing

在部署大量智能电表后,电力公司面临着管理大量区间能耗数据并将信息解码作为可以帮助实施有意义的营销措施。这些营销措施需要在更加详细地了解客户用电方式的基础上针对性地优化供电资源分配和需求响应。因此基于海量用电数据进行客户用电方式细分可以释放潜在的供电潜力和降低电力供应损耗,并可以帮助电力公司了解运营要求,并更好地协调电网管理的能源配置。论文重点介绍如何根据电力消费数据对客户的用电特征进行提取,并依据所提取的用电特征进行用电区间分割,最后根据分割结果对具有类似用电习惯地用户群体制定电力营销计划。

After deploying a large number of smart meters,power companies face the task of managing large amounts of inter⁃val energy consumption data and use information decoding as a meaningful marketing measure that can help.These marketing mea⁃sures require targeted optimization of power supply allocation and demand response based on a more detailed understanding of cus⁃tomer power usage.Therefore,customer-based power consumption based on massive electricity consumption data can release poten⁃tial power supply potential and reduce power supply loss,and can help power companies understand operational requirements and better coordinate energy management of grid management.This paper focuses on how to extract the customer's power consumption characteristics based on the power consumption data,and divides the power consumption interval according to the extracted power consumption characteristics.Finally,according to the segmentation result,the power marketing plan is formulated for the user groups with similar power usage habits.