A Hybrid Ensemble Model Applied to the Short-Term Load Forecasting Problem (original) (raw)

The 2006 IEEE International Joint Conference on Neural Network Proceedings, 2006

Abstract

In this paper we present a methodology based on a combination of many distinct predictors in an ensemble, named hybrid ensemble model, to obtain a more accurate output using the results of single predictors. As basic components, we have used artificial neural networks and support vector machines models. In order to evaluate the performance, the hybrid model was required to

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