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The Application of Improved Grey GM(1,1) Model in Power System Load Forecast

机译:改进的灰色GM(1,1)模型在电力系统负荷预测中的应用

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摘要

According to existing Grey prediction model GM (1,1) in the data fluctuation, mutation, turning under uncertainty such as the problem of poor prediction accuracy, this paper presents an original data sequence by third parties for the opening sequence of operations to generate new data used to establish an improved GM(1,1) model, reduces the growth rate of the original data, reducing the development factor. An example shows that this model has good applicability and accuracy of pre-sexual.
机译:根据现有的灰色预测模型GM(1,1)在数据波动,突变,不确定等不确定性问题下的转向问题,本文提出了由第三方提供的原始数据序列,用于操作的开始序列,以生成新的用于建立改进的GM(1,1)模型的数据,降低了原始数据的增长率,降低了开发因子。实例表明,该模型具有较好的适用性和准确性。

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