Improved RBF network applied to short-term load forecasting

Abstract

From the practical application of short-term load forecasting, this article introduced the radial basis function network and use nearest neighbor clustering algorithm to determine the width of radial basis function, select the cluster centers and weights. The predicted results show that the method is faster and has higher precision.