Research on Power Marketing Inspection of Power Supply Company Based on Clustering Algorithm and Correlation Analysis

As one of the core businesses of power grid enterprises, power marketing is not only a direct source of income for power grid enterprises, but also an important communication window between power grid enterprises and power users and power generation enterprises. The quality of electric power marketing will directly affect the company’s financial status and corporate image, which is the key work of leaders at all levels of power grid enterprises. As an important part of marketing business, electric power marketing audit plays a role in standardizing electricity consumption behavior of power users and maintaining normal electricity price order. This paper proposes to use big data algorithm to analyze customers’ illegal electricity use behavior. Taking the power supply company as an example, this paper uses big data algorithm to mine and analyze the data related to marketing business, so as to realize the judgment and early warning of users’ abnormal electricity use characteristics.