基于BP神经网络的电力系统短期负荷预测研究

Research on Short-term Load prediction of Power the System Based on BP Neural Network

短期负荷预测是一项重要的工作。分析了BP神经网络的基本原理,并基于BP神经网络建立了短期负荷预测模型,设计了模型的输入层、输出层和隐层。通过分析结果可以看出,该方法可以准确地对未来24小时的负荷波动进行预测。

Short-term load forecasting is an important task.In this paper,we analyze the basic principles of the BP neural network,and establish a short-term load prediction model based on the BP neural network,and design the input layer,output layer and hidden layer of the model.According to the example analysis results,the current method can accurately predict the load fluctuations in the next 24 hours.