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优化灰色理论
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  optimized grey theory
     Abstract This paper discusses a modeling process which is based on optimized grey theory used in long-medium term electric power load forecast. Through pre-treatment of orginal load data ,we can turn the orginal data sequence which is undulating into the stronger orderliness sequence. Then processing the forcasting by using the improved GM(1,1) model ,we can greatly enhance the forcasting precision and widen the application range of grey method.
     论述了用优化灰色理论进行电力系统中长期负荷预测的建模过程.通过对原始负荷数据的预处理,把有起伏特性的原始数据序列变成规律性强的序列,再利用改进的GM(1,1)模型进行预测,可以大大提高预测精度和灰色方法的适用范围,而且简捷实用.经实际算例校核证明,该方法可以作为中长期电力负荷预测的理想工具.
短句来源
     This paper discusses a modeling process which is based on optimized grey theory used in power system load forecasting.
     论述了用优化灰色理论进行电力系统负荷预测的建模过程。
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Abstract This paper discusses a modeling process which is based on optimized grey theory used in long-medium term electric power load forecast.Through pre-treatment of orginal load data ,we can turn the orginal data sequence which is undulating into the stronger orderliness sequence.Then processing the forcasting by using the improved GM(1,1) model ,we can greatly enhance the forcasting precision and widen the application range of grey method.By analyzing an actual example,we can find that this method is simple...

Abstract This paper discusses a modeling process which is based on optimized grey theory used in long-medium term electric power load forecast.Through pre-treatment of orginal load data ,we can turn the orginal data sequence which is undulating into the stronger orderliness sequence.Then processing the forcasting by using the improved GM(1,1) model ,we can greatly enhance the forcasting precision and widen the application range of grey method.By analyzing an actual example,we can find that this method is simple ,practical,and of high precision .This method can be the ideal tool in the electric power load forcasting.

论述了用优化灰色理论进行电力系统中长期负荷预测的建模过程.通过对原始负荷数据的预处理,把有起伏特性的原始数据序列变成规律性强的序列,再利用改进的GM(1,1)模型进行预测,可以大大提高预测精度和灰色方法的适用范围,而且简捷实用.经实际算例校核证明,该方法可以作为中长期电力负荷预测的理想工具.

This paper discusses a modeling process which is based on optimized grey theory used in power system load forecasting. Through exponential smoothing treatment of original load data, we can turn the original data sequence which is undulating into the stronger orderliness sequence, then using optimized grey model to greatly enhance the forecasting precision. The practical calculation shows that this method is simple, practical and can be the ideal tool in the medium term power load forecasting.

论述了用优化灰色理论进行电力系统负荷预测的建模过程。通过指数平滑法对原始负荷数据进行预处理 ,把有起伏特性的原始数据序列改造成规律性强的序列 ,再利用优化灰色模型进行预测 ,提高了预测精度 ,该方法简捷实用 ,经实际算例校核证明 ,可以作为中期电力负荷预测的理想工具

 
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