Abstract: [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.
Keywords: knowledge of power system; data intelligence; power marketing; user characteristics