基于灰色神经网络法的高峰负荷预测

Peak load forecasting based on grey neural network method

针对多个相关序列预测的问题,提出了灰色神经网络模型。考虑各序列数据之间的关系及各序列之间的关系,能一次得到多个预测值。利用神经网络对预测值进行校正,得到最终的预测值。实例表明,此种模型具有预测精度高、所需样本少、计算简便等优点,取得了满意的结果。

The grey neural network model was put forward to deal with the forecasting of multiple related arrays. Multiple forecasting values can be gained for one time through the model which considers the relationship among each array's data and the relationship among the arrays. The forecasting values can then be corrected using the neural network and the final values obtained. Examples show that this model is effective with the advantages of high precision, less samples required and simple calculation.