Utilize este identificador para referenciar este registo: http://hdl.handle.net/10400.21/1878
Título: Short-term electricity prices forecasting in a competitive 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
Neural-Network
ARIMA Models
System
Data: Jun-2012
Editora: Elsevier Sci LTD
Citação: Pousinho H M I, Mendes V M F, Catalão J P S. Short-term electricity prices forecasting in a competitive market by a hybrid PSO-ANFIS approach. International Journal of Electrical Power & Energy Systems. 2012; 1 (39): 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. (C) 2012 Elsevier Ltd. All rights reserved.
URI: http://hdl.handle.net/10400.21/1878
ISSN: 0142-0615
Aparece nas colecções:ISEL - Eng. Electrotécn. - Artigos

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