Application Research of Data Mining Technology in Power Dispatching Management System

Abstract

In order to improve prediction accuracy of power load and guarantee safe power supply, this paper proposes a new power load prediction method based on particle swarm optimization optimizing and supporting vector machine(PSO-SVM). It is also applied in data analysis sub-system of power dispatching automation system, designs and completes a set of periodic data set and periodic association rule mining-based data analysis sub-system of dispatching automation system. After practical operation, system provides great help for dispatchers' maintenance schedule formulation, report establishment and accident prediction. In addition, it reduces the probability of accident occurrence to some extent and effectively analyzes as well as utilizes historical data.