An artificial neural network approach for short-term wind power forecasting in Portugal

• Tipo: Artigo em Revista Científica Internacional
• Data: 2009

Autores

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

Revista

Título: Engineering Intelligent Systems

Vol. 17

Páginas: 5-11

ISSN: 1472-8915

Indexação

ISI Web of Knowledge - 56 Citações

Scopus - 56 Citações

Outras Informações

ID Authenticus: P-003-MQX

Abstract (EN): This paper presents an artificial neural network approach 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. The accuracy of the wind power forecasting attained with the proposed approach is evaluated against persistence and ARIMA approaches, reporting the numerical results from a real-world case study.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 7