Utilize este identificador para referenciar este registo: http://hdl.handle.net/10400.21/5178
Título: Short-term electricity prices forecasting in a competetive market by a hybrid Pso-Anfis approach
Autor: Pousinho, Hugo Miguel Inácio
Mendes, Víctor Manuel Fernandes
Catalão, João Paulo da Silva
Palavras-chave: Electricity Market
Price Forecasting
Swarm Optimization
Neural Networks
Fuzzy Logic
Data: Jul-2012
Editora: Elsevier
Citação: POUSINHO, H. M. I.; MENDES, V. M. F.; CATALÃO, J. P. S. – Short-term electricity prices forecasting in a competetive market by a hybrid Pso-Anfis approach. International Journal of Electrical Power & Energy Systems. Vol. 39, nr. 1 (2012), pp. 29-35
Resumo: In this paper, a novel hybrid approach is proposed for electricity prices forecasting in a competitive market, considering a time horizon of 1 week. The proposed approach is based on the combination of particle swarm optimization and adaptive-network based fuzzy inference system. 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, to demonstrate its effectiveness regarding forecasting accuracy and computation time. Finally, conclusions are duly drawn.
Peer review: yes
URI: http://hdl.handle.net/10400.21/5178
DOI: 10.1016/j.ijepes.2012.01.001
Aparece nas colecções:ISEL - Eng. Electrotécn. - Artigos



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