Electrical Energy Management and Load Forecasting in a Smart Grid

Abstract

Artificial Neural Networks (ANN) has been applied to many fields in recent years. Among them, the neural networks with Back Propagation algorithm appear to be most popular and have been widely used in applications such as forecasting and classification problems. This paper presents a study of short-term load forecasting using Artificial Neural Networks (ANNs) and applied it to the Sudan National Electric Company NEC. Neuroshell2 software was used to provide back-propagation neural networks. ANN model used to forecast the load with the performance error as a measure characteristic. The error obtained by comparing the forecasted load data with actual load data