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Application of Combination Grey Model in Power Load Forecasting
作者姓名:LI Wei  HAN Li
摘    要:Based on the gray forecast theory, this paper studies the principle and deficiency in power load forecasting by the basic grey model and other improved models, and introduces a new method -the combination grey model to forecast the long-medium power load. Based on an example, the basic grey model, other improved models and combination grey model are used to forecast power load and results of all models are analyzed and compared. The calculation results show that forecasting power load by grey theory is credible and simple. For this type of complex problems such as forecasting the long-medium power load, the combination grey model is specially useful because of it's high precision and facility. The method can be used as one of the tools of forecasting the long-medium power load.

关 键 词:grey  theory  combination  grey  model  power  load  forecasting  P
修稿时间:2003/9/10 0:00:00

Application of Combination Grey Model in Power Load Forecasting
LI Wei,HAN Li.Application of Combination Grey Model in Power Load Forecasting[J].Storage & Process,2004(1):36-39.
Authors:LI Wei  HAN Li
Abstract:Based on the gray forecast theory, this paper studies the principle and deficiency in power load forecasting by the basic grey model and other improved models, and introduces a new method -the combination grey model to forecast the long-medium power load. Based on an example, the basic grey model, other improved models and combination grey model are used to forecast power load and results of all models are analyzed and compared. The calculation results show that forecasting power load by grey theory is credible and simple. For this type of complex problems such as forecasting the long-medium power load, the combination grey model is specially useful because of it's high precision and facility. The method can be used as one of the tools of forecasting the long-medium power load.
Keywords:grey theory  combination grey model  power load forecasting P
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