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.
该方法可以直接由模糊信息预测出未来一天或一周的各小时负荷。
It can predict the hourly loads for next day or next week with the fuzzy information.
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.
鉴于时负荷的日周期性及周周期性，基于灰色系统理论，提出一种周期比值灰色预测模型，对未来24小时负荷进行预测。
In view of weekly periodicity and daily periodicity of hourly load, a periodic ratio grey model for hourly load forecasting has been set up with grey system theory.
鉴于时负荷的日周期性及周周期性，基于灰色系统理论，提出一种周期比值灰色预测模型，对未来24小时负荷进行预测。
In view of weekly periodicity and daily periodicity of hourly load, a periodic ratio grey model for hourly load forecasting has been set up with grey system theory.
应用推荐