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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, Victor 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 |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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SHORT-TERM ELECTRICITY PRICES FORECASTING IN A COMPETITIVE MARKET BY A HYBRID PSO-ANFIS APPROACH.pdf | 420,2 kB | Adobe PDF | Ver/Abrir Acesso Restrito. Solicitar cópia ao autor! |
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