Electrical energy demand prediction using Artificial Neural Networks and Support Vector Regression

This paper describes a short time electrical energy demand forecast system using two different techniques of artificial intelligence: recurrent artificial neural networks and support vector regression. A brief analysis of the demand over the electrical energy network connection points is also done.