Utilize este identificador para referenciar este registo: http://hdl.handle.net/10400.21/2237
Título: Short-term electricity prices forecasting in a competitive market by a hybrid intelligent approach
Autor: Catalão, João Paulo da Silva
Pousinho, Hugo Miguel Inácio
Mendes, Víctor Manuel Fernandes
Palavras-chave: Electricity market
Fuzzy logic
Neural networks
Price forecasting
Wavelet transform
Neuro-evolutionary algorithm
Arima models
Network
System
Environment
Anfis
Data: Fev-2011
Editora: Pergamon-Elsevier Science LTD
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.
Resumo: 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.
Peer review: yes
URI: http://hdl.handle.net/10400.21/2237
ISSN: 0196-8904
Aparece nas colecções:ISEL - Eng. Electrotécn. - Artigos

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