A cost function is presented, and by applying Gaussian-Newton type recursive prediction error based method, a stable and efficient online frequency estimation algorithm is derived.

在此基础上，建立了最小方差损失函数，并结合高斯·牛顿预测误差方法，提出了稳定的，高性能的，在线的复频率直接估计算法。

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On the algorithm of Market rate prediction, this article adopts the new Winters model to predict the power cost, and check it by the data of North China co, and receives better estimation effects.

在营销指标预测算法上，本文采用改进的温特斯模型对售电量进行预测，并用华北电网的相关数据进行了校验，取得了良好的预测效果。

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