本文的目的是探讨如何准确的进行周负荷预测和月负荷预测。
The purpose of this article is to discuss how we can forecast weekly and monthly load accurately.
采用加权最小二乘法参数估计方法，得到应用于电力系统日负荷预测和月负荷预测的ARMA模型。
In this paper, the method of weighted least square estimate is proposed to construct ARMA model, which can be applied in power system load forecasting.
结合本文来源(河南省负荷预测项目)关于周、月负荷预测的相关要求，选择串联型综合模型进行建模。
According to the requirements of monthly and weekly load forecasting in the HeNan load forecasting Project, the synthetic series connection model is chosen for modeling.
并以某地历年三月的负荷为例，预测并验证了负载的精度。
Taking load of March in every years in an area as an example, and the accuracy of load was predicted and verified.
以武汉地区的月电力负荷预测为算例说明证明了该模型的有效性与可行性。
Take power load prediction by month in Wuhan for example to demonstrate the feasibility and effectiveness of this model. 3 it researched the theory of load management thoroughly.
以武汉地区的月电力负荷预测为算例说明证明了该模型的有效性与可行性。
Take power load prediction by month in Wuhan for example to demonstrate the feasibility and effectiveness of this model. 3 it researched the theory of load management thoroughly.
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