Mid-long-term prediction of electrical load based on particle swarm optimization and RBF neural network

Abstract

Accurate mid-long-term load forecasting is of great significance to power system planning and safe operation. Therefore, this paper proposed a mid-long-term prediction of electrical load based on PSO and RBF neural networks. Based on RBF neural network, the mid-long-term prediction model of electrical load is established, and the prediction parameters of the RBF neural network are iterated by PSO to obtain the optimal parameter value, which is the key to improving the prediction accuracy. The comparison of calculation results shows that it can improve the accuracy of mid-long-term electric load forecasting.