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 | |
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ce07ncs002001000032.pdf | 202.25 kB | Adobe PDF | 檢視/開啟 |
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