Wind Speed Forecasting Based on Combination Forecasting Model

摘要：

The accuracy of wind speed forecasting is related to the wind power scheduling. When large-scale wind power connected grid, it also affects the stability of the grid. This paper applies time series model and Back Propagation (BP) neural network model to predict wind speed. Finally, a combination model of time series and BP neural network is proposed. In the combination model, the inputs of BP neural network are made up of historical data and residual errors calculated by time series model. The model can be more accurately in the short-time wind speed forecasting. And then shows an actual example.

关键词： wind speed forecasting time series model BP neural network model combination model

作者: Nan Xiaoqiang Li Qunzhan Yu Junxiang You Zhiyu

作者单位: School of Electrical Engineering Southwest Jiaotong University Chengdu, China

会议类型: 国际会议

会议名称: 2010 International Conference of Informationa Science and Management Engineering(2010年信息科学与管理工程国际学术会议 ISME 2010)

会议地点: 西安

会议语种:英文

页码: 765-769

在线出版日期: 2010-08-07（万方平台首次上网日期，不代表论文的发表时间）