Hybrid intelligent approach for short-term wind power forecasting in Portugal

• Type: Article in International Scientific Journal
• Date: 2011

Authors

Catalao, JPS (Author) Other; Pousinho, HMI (Author) Other; Mendes, VMF (Author) Other

Journal

Title: IET Renewable Power Generation

Vol. 5

Pages: 251-257

ISSN: 1752-1416

Publisher: Wiley-Blackwell

Indexing

ISI Web of Knowledge - 57 Citations

Scopus - 73 Citations

Other information

Authenticus ID: 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.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 7