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

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

Authors

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

Journal

Title: Renewable Energy

Vol. 36 No. 1

Pages: 1245-1251

ISSN: 0960-1481

Publisher: Elsevier

Indexing

ISI Web of Knowledge - 216 Citations

Scopus - 283 Citations

Other information

Authenticus ID: 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.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 7