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Grey Prediction Model of Power load based on Exponential Smoothing Improvement

机译:基于指数平滑改进的电力负荷灰色预测模型

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Grey system theory has the advantages of needing little sample data and calculating no characteristic quantity; it is widely applied in power load prediction; but it has certain limitation the larger the data discretization degree is, the larger the gray scale is and the larger the influence on prediction precision is. The paper improves original data of grey prediction by exponential smoothing to reduce data fluctuation and improve prediction precision.
机译:灰色系统理论具有很少的样品数据和计算特征数量的优点;它广泛应用于电力负荷预测;但它具有一定的限制,数据离散程度越大,灰度尺度越大,预测精度的影响越大。本文通过指数平滑提高了灰色预测的原始数据,以降低数据波动并提高预测精度。

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