Short-term wind power forecasting in Portugal by neural networks and wavelet transform

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

Autores

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

Revista

Título: Renewable Energy

Vol. 36 Nº 1

Páginas: 1245-1251

ISSN: 0960-1481

Editora: Elsevier

Indexação

ISI Web of Knowledge - 216 Citações

Scopus - 283 Citações

Outras Informações

ID Authenticus: P-002-T4D

DOI: 10.1016/j.renene.2010.09.016

Abstract (EN): This paper proposes artificial neural networks in combination with wavelet transform for short-term wind power forecasting in Portugal. The increased integration of wind power into the electric grid, as nowadays occurs in Portugal, poses new challenges due to its intermittency and volatility. Hence, good forecasting tools play a key role in tackling these challenges. Results from a real-world case study are presented. A comparison is carried out, taking into account the results obtained with other approaches. Finally, conclusions are duly drawn.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 7