电力负荷预测的遗传神经网络模型研究

Genetic Neural Network Model Research for Power Load Forecasting

根据电力负荷预测的特点 ,提出遗传神经网络负荷预测模型。有效地克服了人工神经网络学习速度慢、存在局部极小点的固有缺陷。经实例验证 ,该方法能有效地提高预测精度和速度。

According to the trait of the power load forecasting. this paper proposes the genetic neural network load forecasting model. The intrinsic defects of artificial neural network, e.g., its slow learning speed. existence of partial minimum points, are solved. It can be seen from the example, the method can effectively improve the forecasting accuracy and speed.