The Research And Construction Of Power-Supply Marketing Decision Support System

With the deepening of the system reform of electric power, and the acceleration of the market-oriented paces of the power supply enterprise, it seems very important to make the marketing management strategy adapting for market. Power-Supply Marketing (DSS) can collect all kinds of scattering detailed data source, and make Data Warehouse (DW) faced to all kinds of topics, at the same time, dug the instinct law of the task and the quantity information accessed impossibly by manpower, and then based on these quantity information, make more scientific Power-Supply Marketing DSS. This article makes deeper research for the creation of Power-Supply Marketing DSS based on the analysis of Power-Supply Marketing tasks.The creation process of Power-Supply Marketing DSS includes the theory of DSS, the technique of Data Warehouse (DW), the technique of OLAP , the technique of Data Mining and Web technique. This article designs the function and structure of DSS, ensures the topic region of DSS, and builds the general frame of DSS. At the same time, this article researches the design and establishment of DSS DW, and builds the data platform of DSS, organizing the data of supplying power enterprise according to analysis topic region. This article also implements the fundamental function of DSS based on Business Object, the supporting tool of Data Warehouse. On the algorithm of Market rate prediction, this article adopts the sequence prediction model based on genetic algorithm BP neural network, and receives better estimation effects, and builds the experimenting platform of Data Mining using the J2EE technique.