Abstract:This paper proposes a hybrid approach for shortterm energy price prediction. This approach combines a genetic algorithm (GA) that evolves individuals represented by a set of production rules, these rules are extracted from chromosomes and generate the genotypes, which are mapped to phenotypes(Deep Neural Networks). The Artificial Neural Networks (ANNs) are then trained and then validated, and the prediction tests are carried out. The genotypes are classified by the performances of their ANNs in prediction and … Show more
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