Outlier data forecasting of power load based on neural PSO

摘要

Load forecasting is a traditional research field of power system. This paper proposed a neural particle swarm algorithm which treats neural network as one of the particles in the swarm. The resulting optimized particle from the algorithm was used as the forecast model of the load forecasting. The model has been used in software system of load forecasting of JiLin power grid Co, Ltd. obtained desired results.