Hybrid attribute reduction method and its application in power load forecasting
Qingjun Guo · Computer Engineering and Applications Journal · 2011
There are many factors that influence the accuracy of short power load forecasting.In order to find the relationship between the load value and the outside factors,this paper presents a fast hybrid attribute reduction algorithm for data reduction based on rough set,and then discusses the forecasting model using hybrid attribute reduction and the BP artificial neural network.The experiment results show the model improves the forecasting accuracy.