Hybrid Wavelet-PSO-ANFIS Approach for Short-Term Wind Power Forecasting in Portugal

• Tipo: Artigo em Revista Científica Internacional
• Data: 2011

Autores

Catalao, JPS (Autor) Outra; Pousinho, HMI (Autor) Outra; Mendes, VMF (Autor) Outra

Revista

Título: IEEE Transactions on Sustainable Energy

Vol. 2

Páginas: 50-59

ISSN: 1949-3029

Editora: IEEE

Indexação

ISI Web of Knowledge - 181 Citações

Scopus - 237 Citações

Outras Informações

ID Authenticus: P-006-50Q

DOI: 10.1109/tste.2010.2076359

Abstract (EN): The increased integration of wind power into the electric grid, as it occurs today in Portugal, poses new challenges due to its intermittency and volatility. Wind power forecasting plays a key role in tackling these challenges. A novel hybrid approach, combining wavelet transform, particle swarm optimization, and an adaptive-network-based fuzzy inference system, is proposed in this paper for short-term wind power forecasting in Portugal. A thorough comparison is carried out, taking into account the results obtained with seven other approaches. Finally, conclusions are duly drawn.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 10