Study on a Novel Short-Term Load Forecasting Method Based on Improved PSO and FRBFNN

Abstract

In order to accurately, fast and efficiently forecast the short-term load of power system, an improved particle swarm optimization algorithm is proposed to optimize the parameters of fuzzy radial basis function fuzzy neural network (FRBFNN)