A Hybrid Forecasting Method for Wind Speed

摘要：

　　Wind energy is one of the most widely used renewable energy sources.Wind power generation is uncertain because of the intermittent of wind power.To reduce the influence of wind power generation on the power system,it is necessary to forecast wind speed.This paper presents a hybrid wind speed prediction method based on Autoregressive Integrated Moving Average(ARIMA)model and Artificial Neural Network(ANN)model.In three wind speed prediction tests,the hybrid,ARIMA and ANN models are applied respectively.By analyzing the predicted results,it can be concluded that the hybrid method has better forecasting result.By analyzing the results,we can conclude that the hybrid method has better prediction effect.

作者: Jian Jiao

作者单位: College of Economics& Management,China Three Gorges University,443002 Yichang City,China

会议类型: 国际会议

会议名称: 2018 2nd International Conference on Electronic Information Technology and Computer Engineering (EITCE 2018)(2018第二届电子信息技术与计算机工程国际会议)(EITCE2018)

会议地点: 上海

会议语种:英文

页码: 1-5

在线出版日期: 2018-10-12（万方平台首次上网日期，不代表论文的发表时间）