Short-term load forecast in Power system based on PSO optimizing algorithm

Short-term load forecast is very important in power system management,accurate load forecast can ensure customer to get safe,economical and reasonable power supply.Among many optimizing algorithms used for load forecasting,a novel PSO(Particle Swarm Optimizer) algorithm is proposed for optimizing the weight of NN(Neural Network) and is applied to short term load forecast in power system.It is shown that convergence speed and precision of BP neural network are improved.