基于神经网络的短期电力负荷预测

Power Load Forecasting Based on Neural Network

采用BP神经网络进行电力负荷预测,采用某北方城市的负荷数据做样本,并且考虑到天气因素对负荷预测的影响,对网络的输入、输出、隐含层、训练函数进行设计,搭建BP神经网络模型,利用matlab进行仿真,仿真后将图像导成数据,即是最终的预测结果,分析误差,确定预测过程的可靠性。

The BP neural network is used for power load forecasting in this paper.Using the load data of a northern city as a sample,and taking the influence of weather factors on load forecasting into consideration,a BP neural network model is built through the design of network inputs,output,hidden layer and training function.Then the matlab is used for simulation,after which the image is converted into data,and the final prediction result is gained.Finally,the error is analyzed to determine the reliability of prediction process.