摘要
着重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。提出了一种以农历24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。实践证明,该方法能够有效提高预测精度,并具有较强的实用性。
The selection of the modeling data, data's pretreatment of power load forecasting and their effects on forecasting precision are discussed mainly. A new method of combining ARIMA model with BP network and using the solar term load as modeling data is put forward. The practice shows that the method can improve forecasting precision effectively and has better robusticity.
出处
《湖北电力》
2003年第2期13-15,共3页
Hubei Electric Power
