Pousinho, Hugo Miguel InácioMendes, VictorCatalão, João Paulo da Silva2012-11-022012-11-022012-06Pousinho 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): 29-35.0142-0615http://hdl.handle.net/10400.21/1878In 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.engElectricity MarketPrice ForecastingSwarm OptimizationNeural NetworksFuzzy LogicNeural-NetworkARIMA ModelsSystemjournal article