给出一种新的组合预测模型——广义加权函数平均组合预测模型及其加权系数的参数估计方法。
In this paper, we present a new kind of combining forecasting model based on the generalized weighted functional mean and the parameter estimation methods of its weighting coefficients.
文中分别应用简单平均组合与最优加权组合原理，建立了短期负荷预测的组合模型。
The paper presents a short term load combined forecasting model using the simple average and weighted optimum combination principles.
传统的组合预测模型存在加权平均的缺陷。
Traditional combined forecasting model exists deficiency in weighted averaging.
运用广义加权平均组合预测模型进行市场需求预测，以克服传统的单一市场预测方法的不足。
The combination forecasting model of generalized weighted proportional means which to overcome the inadequacy of traditional single market forecasting method, was used to forecast market demands.
基于倒数灰色关联度的加权调和平均组合预测模型是一种新的非线性组合预测模型。
Weighted harmonic means combination forecasting based on degree of reciprocal grey incidence is a new kind of nonlinear combination forecasting method.
对基于最小几何距离的加权调和平均组合预测模型的性质进行了研究，从理论上说明了该种方法的有效性。
We study the properties of harmonic means combination forecasting method based on minimizing geometric distance to demonstrate the effectiveness of this method theoretically.
本文提出了由几个不同的预测模型通过加权几何平均的方式进行组合从而得到加权几何平均组合预测模型，给出了确定最优权系数的方法。
Weight geometric average combination forecast model obtained by weighing several different forecast models, is presented in this paper. A method is given to determine the best weight.
其中加权算术平均组合预测模型能获得最佳的模型组合形式，从而能够有效地提高预测精度。
The weighted average combination model can obtain the best combination model form to promote the forecast precision.
文中分别应用简单平均组合与最优加权组合原理，建立了短期负荷预测的组合模型。
The load forecasting researches and applications by using the combined forecasting theory are more and more.
基于倒数灰色关联度的加权调和平均组合预测模型是一种新的非线性组合预测模型。
Weighted geometric means combination forecasting based on degree of logarithm grey incidence is a new kind of nonlinear combination forecasting method.
基于倒数灰色关联度的加权调和平均组合预测模型是一种新的非线性组合预测模型。
Weighted geometric means combination forecasting based on degree of logarithm grey incidence is a new kind of nonlinear combination forecasting method.
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