Short-Term Electric Load Forecasting in Distribution Network Using Neural network

Artificial neural network (ANN) techniques have been recently suggested for short-term electric loadforecasting by a large number of researchers,This paper presents an artificial neural network(ANN) approach to electric load forecasting. The ANN is used to learn the relationship among past, current and futuretemperatures and loads. In order to provide the forecasted load, the ANN interpolates among the load andtemperature data in a training data set. The ANN load forecasting models are trainedon historical data that obtained from a real substation in Mashhadof Iran. Final results indicate averageerrors of developed models and prove that these models canbe applied to the prediction of load in real case.