題名: A New Prediction Method for Short-Term Forecast
作者: Chang, Bao Rong
Tsai, Shiou Fen
關鍵字: Grey model
Cumulative least squared linear model
期刊名/會議名稱: 2001 NCS會議
摘要: This study introduced a new method for the short-term forecast theat actually is a hybrid model, combing the grey model and the cumulative least squared linear model, with the special feature of automatically adjusting the overestimated or underestimated predicted value around the points having extreme value. The verification of this study is also tested successfully in two experiments. This demonstrated theat the proposed method has the best accuracy of predicted value among four short-term forecasting models discussed in this study.
日期: 2006-10-13T08:35:56Z
分類:2001年 NCS 全國計算機會議

文件中的檔案:
檔案 描述 大小格式 
ce07ncs002001000032.pdf202.25 kBAdobe PDF檢視/開啟


在 DSpace 系統中的文件,除了特別指名其著作權條款之外,均受到著作權保護,並且保留所有的權利。