Hybrid Wavelet-PSO-ANFIS Approach for Short-Term Electricity Prices Forecasting
| Data(s) |
15/02/2013
15/02/2013
01/02/2011
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| Resumo |
A novel hybrid approach, combining wavelet transform, particle swarm optimization, and adaptive-network-based fuzzy inference system, is proposed in this paper for short-term electricity prices forecasting in a competitive market. 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. Finally, conclusions are duly drawn. |
| Identificador |
CATALÃO, J. P. S.; POUSINHO, H. M. I.; MENDES, V. M. F. - Hybrid Wavelet-PSO-ANFIS Approach for Short-Term Electricity Prices Forecasting. IEEE Transactions on Power Systems. ISSN 0885-8950. Vol. 26, n.º 1 (2011) p.137-144. 0885-8950 |
| Idioma(s) |
eng |
| Publicador |
IEEE-INST Electrical Electronics Engineers INC |
| Direitos |
restrictedAccess |
| Palavras-Chave | #Electricity market #Fuzzy logic #Neural networks #Price forecasting #Swarm optimization #Wavelet transform #Neuro-evolutionary algorithm #Arima models #Market #Network #System #Decomposition #Information #Environment #Transform |
| Tipo |
article |
