Power System Short-term Load Forecasting Based on Fuzzy Neural Network

摘要

Aiming at short-term load forecasting of power system,considering the factors such as temperature,date type,weather status,etc,which influence the short-term electric load forecasting,a model is set up by dynamic recurrent fuzzy neural network.The fuzzy inference function is realized easily by using a product operation in the network.Introducing local recurrent units to hidden layer,the proposed method can overcome the limit of the traditional BP algorithm.The actual simulation shows that dynamic recurrent fuzzy neural network has advantages of short prediction time,high-precision for forecasting,etc,having a high significance and value.