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Orientador(es)
Resumo(s)
In this paper, a hybrid intelligent approach is proposed for short-term electricity prices forecasting in a competitive market. The proposed approach is based on the wavelet transform and a hybrid of neural networks and fuzzy logic. Results from a case study based on the electricity market of mainland Spain are presented. A thorough comparison is carried out, taking into account the results of previous publications. Conclusions are duly drawn. (C) 2010 Elsevier Ltd. All rights reserved.
Descrição
Palavras-chave
Electricity market Fuzzy logic Neural networks Price forecasting Wavelet transform Neuro-evolutionary algorithm Arima models Network System Environment Anfis
Contexto Educativo
Citação
CATALÃO, J. P. S.; POUSINHO, H. M. I.; MENDES, V. M. F. - Short-term electricity prices forecasting in a competitive market by a hybrid intelligent approach. Energy Conversion and Management. ISSN 0196-8904. Vol. 52, n.º 2 (2011) p.1061-1065.