For the short -term electric power load with uncertainty influence factors, we put forward the load forecasting method using ANN based on similar historical day.
对于受不确定因素影响的短期电力负荷，提出了一种基于相似日的神经网络预测方法。
First, this paper discussed a method to select similar days (similar-day method, SD in short) in order to improve the accuracy of forecasting.
首先，本文给出了选出合理相似日的方法，用于提高负荷预测精度。
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