Utilize este identificador para referenciar este registo: http://hdl.handle.net/10400.21/2203
Título: Hybrid Wavelet-PSO-ANFIS Approach for Short-Term Electricity Prices Forecasting
Autor: Catalão, João Paulo da Silva
Pousinho, Hugo Miguel Inácio
Mendes, Víctor Manuel Fernandes
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
Data: Fev-2011
Editora: IEEE-INST Electrical Electronics Engineers INC
Citação: 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.
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.
Peer review: yes
URI: http://hdl.handle.net/10400.21/2203
ISSN: 0885-8950
Aparece nas colecções:ISEL - Eng. Electrotécn. - Artigos

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