The development of smart grid and electricity market requires more accurate and faster short-term load forecasting. Aiming at the problems of Radial Basis Function (RBF) network in electric system short term load forecasting, a novel algorithm integrated the advantages of RBF and Quantum Particle Swarm Optimization algorithm (QPSO) is proposed to improve the short-term load forecasting accuracy and speed. In this study, radial basis function network is trained by QPSO. After confirmed the nodes number of hidden layer, all network parameters are...
