Short-Term Electric Load Forecasting in Distribution Network Using Neural network
Artificial neural network (ANN) techniques have been recently suggested for short-term electric load forecasting 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 future temperatures and loads. In order to provide the forecasted load, the ANN interpolates among the load and temperature data in a training data set. The ANN load forecasting models are trained on historical data that obtained from a real substation in Mashhad of Iran. Final results indicate average errors of developed models and prove that these models can be applied to the prediction of load in real case.