摘要
采用BP神经网络与线性回归相结合的方法进行电力负荷预测。首先采用BP神经网络对样本数据进行训练,然后用训练完成后的BP神经网络对数据进行预测,再通过线性回归对BP神经网络的预测值进行补偿,最后进行了仿真实验,并分析了误差存在的原因。最终证明了此预测方法的可行性。
this paper uses BP neural network and linear regression method to carry out the power load forecasting. BP neural network is used to train the sample data. Then the data are predicted by BP neural network. Then the BP neural network is compensated by linear regression. Finally, the simulation experiment is carried out. The feasibility of this method is proved.
出处
《云南电力技术》
2016年第1期53-57,共5页
Yunnan Electric Power
关键词
BP神经网络
线性回归
负荷预测
BP neural network
linear regression
load prediction
