Power Grid Marketing Strategy Matching Algorithm Based on Big Data Mining Technology

As the main energy resource in today's era, electricity is undoubtedly very important to people's life and work. Many power companies also hope to formulate reasonable grid marketing strategies, design matching algorithms to provide customers with sustainable and high-quality services, and enhance their market competitiveness. Therefore, through the use of big data mining technology, this paper builds a digital power marketing management and control platform, designs a marketing strategy matching algorithm, makes different marketing or price strategies, contacts with customers of different types and needs, and provides different services, so as to improve the market competitiveness of the target company. In the last comparative experiment, this paper proves this point. Taking the monthly turnover as an example, the average monthly turnover of the period 2 group using the strategy formulation method in this paper was 221.95k$, while the average monthly turnover of the period 1 group without specifying a special business strategy was 178.54k$. The direct income comparison experiment proves the effectiveness of this method in improving the competitiveness of electric power companies.