Hybrid intelligent 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: IET Renewable Power Generation

Vol. 5

Páginas: 251-257

ISSN: 1752-1416

Editora: Wiley-Blackwell

Indexação

ISI Web of Knowledge - 57 Citações

Scopus - 73 Citações

Outras Informações

ID Authenticus: P-002-S43

DOI: 10.1049/iet-rpg.2009.0155

Abstract (EN): The increased integration of wind power into the electric grid, as nowadays occurs in Portugal, poses new challenges because of its intermittency and volatility. Hence, good forecasting tools play a key role in tackling these challenges. In this study, a hybrid intelligent approach is proposed for short-term wind power forecasting in Portugal. The proposed approach is based on the wavelet transform and a hybrid of neural networks and fuzzy logic. Results from a real-world case study are presented. A thorough comparison is carried out, taking into account the results obtained with other approaches. Conclusions are duly drawn.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 7