Short-term electricity prices forecasting in a competitive market by a hybrid PSO-ANFIS approach

Pousinho, Hugo Miguel Inácio; Mendes, Victor; Catalão, João Paulo da Silva

http://hdl.handle.net/10400.21/1878

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Authors

Pousinho, Hugo Miguel Inácio

Mendes, Victor

Catalão, João Paulo da Silva

Abstract(s)

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.

Keywords

Electricity Market Price Forecasting Swarm Optimization Neural Networks Fuzzy Logic Neural-Network ARIMA Models System

URI

http://hdl.handle.net/10400.21/1878

Citation

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.