[目的/意义]随着知识管理相关理论的发展，各相关工业部门特别是完成了信息化的工业部门也面临着越来越紧迫的知识化转型。在知识化转型过程中除知识管理的相关理论外，也需要提炼出知识管理相关工具体系。[方法/过程]主要研究知识管理相关工具在电力行业市场营销领域中的应用，从电力业务人员日常接触的数据中萃取影响缴费用户的特征因素，并形成与用户缴费欠费习惯相关的关键知识，为业务人员未来工作进行指导。首先，从电力系统中采集甘肃省内近10万户的用电及缴费数据，并整理出由问卷调查获得的数据；其次，采用主成分分析及回归方法构造用户按时缴费模型；最后，根据模型分析获得促使用户按时缴费的因素，提出针对性的营销策略，以降低电费拖欠率并降低电费回收成本。[结果/结论]通过分析，找到用户履约能力、客户满意度及征缴频率等关键因素，较好地实现电力知识化转型。

[Purpose/significance] With the development of knowledge management related theories, all relevant industrial sectors, especially those that have completed informatization, are also facing an increasingly urgent transformation of knowledge. In the process of knowledge transformation, in addition to the related theories of knowledge management, knowledge management related tool systems need to be refined.[Method/process] This paper took the power industry as an example to explore the application of knowledge management related tools in power marketing. Experienced power system practitioners can use their tacit knowledge to analyze key factors in the power system marketing process. This paper attempted to use explicit knowledge management tools to make tacit knowledge explicit. This paper studied the factors that prompt users to pay on time, proposed targeted marketing strategies, reduced the arrears rate, improves the method of electricity bill recovery, and reduces the cost of electricity bill recovery. This paper used principal component analysis and regression methods to construct a user's on-time payment model based on the electricity consumption and payment data of nearly 100000 households in Gansu Province and part of the data from the questionnaire survey. [Result/Conclusion] Through analysis, the key factors such as paying attention to user performance, customer satisfaction and collection frequency were found, and the explicit expression of tacit knowledge was better achieved.