Abstract：With the steady progress of the reform of the electricity sales market and the increasing competition, this article proposes a customer classification solution based on marketing big data, in order to help electricity sales companies better select target customers, improve their profits, reduce electricity costs for customers, and promote the healthy and stable development of the electricity sales market. The solution utilizes customer credit information, electricity meters collected data and other information to establish a customer database. Based on the entropy weight method and expert scoring method, the principle of selecting indicators is reasonably applied to establish a comprehensive evaluation index system of customers. Through the “four quadrant” theory, customers are divided into four categories including high-quality, stable, eliminated, and risky, which provides reference for electricity sales companies to accurately locate target users.
龙鹏, 徐涛, 吴新瑞, 彭斌, 揭业炜. 基于营销大数据的售电市场客户分类识别研究[J]. 电气技术, 2024, 25(10): 30-35.
LONG Peng, XU Tao, WU Xinrui, PENG Bin, JIE Yewei. Research on customer classification and identification in electricity sales market based on marketing big data. Electrical Engineering, 2024, 25(10): 30-35.
2024, Vol. 25 
