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Application of the Improved Grey Model in Power Load Forecasting

机译:改进灰色模型在电力负荷预测中的应用

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This paper presents an improved grey model used in power load forecasting. In order to overcome the limitation of the traditional grey model GM(1,1), vector θ is introduced to modify the calculating formula for background sequence value in grey model and build a more adaptable model. Using artificial fish school algorithm can solve the value of vector θ. It reflects that the improved model has higher accuracy of load forecasting and has wider application by cases analysis.
机译:本文提出了一种用于电力负荷预测的改进灰度模型。为了克服传统灰色模型GM(1,1)的限制,引入向量θ以修改灰色模型中的背景序列值的计算公式,并构建更适应的模型。使用人工鱼类学校算法可以解决矢量θ的值。它反映了改进的模型具有更高的负载预测精度,并且通过案例分析具有更广泛的应用。

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