基于人工智能的电力营销稽核方法  

Power Marketing Audit Method Based on Artificial Intelligence

作　　者：陈姗 CHEN Shan(State Grid Quanzhou power supply company,Fujian Quanzhou 362000,China)

机构地区：[1]国网泉州供电公司,福建泉州362000

出　　处：《电工材料》2022年第5期52-54,共3页Electrical Engineering Materials

摘　　要：从人工智能的角度,将现有智能技术引入电力营销稽核中,利用人工智能处理数据的快捷性、针对性、辨识性,有效解决当前人工稽核的复杂性、易错性。将稽核数据形成样本,在样本、数量足够多时进行深度学习,达到后期自动稽核的效果,对营销过程中的问题进行自动定位,提高稽核的效率,降低人工成本。This paper introduces the current intelligent technology into the power marketing audit from the perspective of artificial intelligence,using artificial intelligence.The speed,pertinence,and identification of data processing can effectively solve the complexity and error-proneness of current manual auditing.The audit data can be formed into samples,and deep learning can be performed when the number of samples is large enough to achieve the effect of automatic auditing in the later stage,and automatically locate problems in the marketing process,greatly improving the efficiency of auditing and reducing labor costs.

关 键 词：电力营销 稽查 人工智能 深度学习 

分 类 号：F426[经济管理—产业经济]