Application of Adaptive Neuro-Fuzzy Inference for Wind Power Short-Term Forecasting

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

Autores

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

Revista

Título: IEEJ Transactions on Electrical and Electronic Engineering

Vol. 6

Páginas: 571-576

ISSN: 1931-4973

Editora: Wiley-Blackwell

Indexação

ISI Web of Knowledge - 12 Citações

Scopus - 18 Citações

Outras Informações

ID Authenticus: P-002-K6H

DOI: 10.1002/tee.20697

Abstract (EN): 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. In this paper, an adaptive neuro-fuzzy inference approach is proposed for short-term wind power forecasting. Results from a real-world case study are presented. A thorough comparison is carried out, taking into account the results obtained with other approaches. Numerical results are presented and conclusions are duly drawn. (C) 2011 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 6