Hybrid Neuro-Fuzzy Evolutionary Approach for Short-Term Wind Power Forecasting

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2012

Autores

Osorio, GJ (Autor) Outra; Matias, JCO (Autor) Outra; Pousinho, HMI (Autor) Outra; Catalao, JPS (Autor) Outra

Ata de Conferência Internacional

Título: 2012 16TH IEEE MEDITERRANEAN ELECTROTECHNICAL CONFERENCE (MELECON)

Páginas: 257-260

16th IEEE Mediterranean Electrotechnical Conference (MELECON)

Hammamet, TUNISIA, MAR 25-28, 2012

Indexação

ISI Web of Knowledge - 3 Citações

Scopus - 4 Citações

Outras Informações

ID Authenticus: P-002-F9X

DOI: 10.1109/melcon.2012.6196427

Abstract (EN): This paper present a novel hybrid approach based on a combination of wavelet transform (WT), evolutionary particle swarm optimization (EPSO) and adaptive-network-based inference system (ANFIS), for short-term wind power forecasting in Portugal. The accuracy of the wind power forecasting attained with the proposed approach is evaluated, reporting its proficiency from a real-world case study in comparison with other methodologies. Conclusions are duly drawn.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 4