Application of Bayesian Algorithm in Power Marketing Decision-making

Marketing decision is the main content of electric energy product sales, but in the marketing process of electric power enterprises, market changes and sales methods will impact the decision-making results and reduce the sales of electric energy products rationality. this paper proposes a Bayesian algorithm to analyze the decision-making of electric energy product sales, improve the level of marketing decision-making, and shorten the time of marketing decision-making. Then, the market data is evaluated. Finally, continuous monitoring is used to observe the sales of electric energy products. Bayesian algorithm can accurately make sales and marketing decisions of electric energy products, improve the sales level of electric energy products, and the rationality is greater than 94 % is better. Bayesian algorithm can meet the requirements of sales and marketing decisions of electric energy products.