| Nome: | Descrição: | Tamanho: | Formato: | |
|---|---|---|---|---|
| 420.2 KB | Adobe PDF |
Orientador(es)
Resumo(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.
Descrição
Palavras-chave
Electricity Market Price Forecasting Swarm Optimization Neural Networks Fuzzy Logic
Contexto Educativo
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
Editora
Elsevier