To calculate the weight coefficients of the combination model firstly the Lagrangian multiplier method is applied to object function and equality constrains.
在组合模型的权重系数求解中，首先对目标函数和等式约束使用拉格朗日乘子法来求解权重系数。
This paper puts forward a new combination prediction method, global time-varying weight combinational prediction method.
文章提出了一种新的组合预测方法—全局时变权组合预测方法。
The combination forecasting method gives bigger weight to the models, which better conform with the variation of power load, and improves the precision. The sample calculation shows the truth.
采用组合预测法对能很好反映负荷变化规律的模型赋予较大的权重，从而提高负荷预测精度，示例计算表明组合预测法的预测精度明显高于各单一模型的预测精度。
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