Aiming at the actual difficulties in load forecasting, a new load forecasting method in which the solar term load is used as modeling data was put forward combining ARIMA model and BP network.
针对电力负荷预测的实际困难，提出了一种以节气负荷作为建模数据，将ARIMA模型及BP网络相结合的负荷预测新方法。
The selection of the modeling data, the data's pretreatment of power load forecasting and their effects on forecasting precision were discussed.
论述了电力负荷预测中建模数据的选择、预处理方法及其对预测精度的影响。
Load forecasting models in power system is different due to load constitutes and modeling technique.
电力系统负荷预报模型因负荷构成及采用的建模技术不同而各异。
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.
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。
The abstracted components, having the property of linearly independence, can be used to explain the daily load better and are more favorable for modeling and forecasting.
提取出的成分具有线性无关的特点，对日负荷有较好的解释能力，且利于建模和预测。
It has great significance on load forecasting, load management and load modeling.
它对负荷预测、负荷管理、负荷建模有着重要意义。
It has great significance on load forecasting, load management and load modeling.
它对负荷预测、负荷管理、负荷建模有着重要意义。
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