Forecasting the Daily Load Based on ANN
Hui Zhou · Techniques of Automation and Applications · 2007
In this paper,the data of a large-scale steel enterprise,is used for the analysis.A moving time-window is used for two different models--one is a 24-signal BP neural network to forecast every hour load per day,and the other is only a complex network.Numerical results show that the model combining BP in short term load forecasting of important power client is encouraging.