夏季日峰荷特性分析与预测

在分析夏季日峰荷特性的基础上，利用小波变换对负荷序列进行分解和单支重构．得到不同频段上的近似序列和细节序列，用相关性分析方法分别分析其早晚高峰值与气温的关系，根据分析的结果，使用RBF神经网络建立相应模型预测，将各序列的预测值相加得到日峰荷值。根据江苏省实际负荷运行数据，对方法进行了检验。

Characteristic analysis and forecasting of summer daily peak load

This article analyzes the characteristics of the summer daily peak load. Then using wavelet transform to decompose the load sequence and reconstruct them respectively. The approximate sequence and the detail sequence in different frequency are obtained, analyzing their relations of the early and later peak load and the temperature, then constructing the corresponding models based on the characteristics of each sequence. The forecasted results of the sub sequences by respective models are added and considere...