BP Neural Networks Algorithm Applied in Electric Load Prediction

摘要：

After analyzing the meaning and ways of electric system load prediction, this essay illustrates the general theory of the BP neural networks and study the load prediction methods based on BP neural networks. It analyzes the neural networks sample value methods, performs encumbrance for historical data, then, it preprocesses the load data. The accuracy of the load prediction results is closely related to the preprocessing of the load data. The data processed correctly will produce distinct effect on the accuracy of the prediction results. Contrarily, inputting the load data unprocessed into the neural networks will result in prediction failure. This essay designs the structure of the algorithm of BP neural networks. At last, it analyzes the data of the case study of electric load prediction.

关键词： BP neural networks electric load prediction algorithm

作者: enying Xiao Zhiyong Zhu

作者单位: Department of Electrical & Information Engineering,Hunan Institute of technology Hengyang, China Department of Computer Science and Technology,Changsha University,Changsha, China

会议类型: 国际会议

会议名称: 2011 International Conference on Communication and Electronics Information(ICCEI 2011)(2011年通信和电子信息国际会议)

会议地点: 海口

会议语种:英文

页码: 190-194

在线出版日期: 2011-02-22（万方平台首次上网日期，不代表论文的发表时间）