Hybrid Wavelet-PSO-ANFIS 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: IEEE Transactions on Sustainable Energy

Vol. 2

Pages: 50-59

ISSN: 1949-3029

Publisher: IEEE

Indexing

ISI Web of Knowledge - 181 Citations

Scopus - 237 Citations

Other information

Authenticus ID: P-006-50Q

DOI: 10.1109/tste.2010.2076359

Abstract (EN): The increased integration of wind power into the electric grid, as it occurs today in Portugal, poses new challenges due to its intermittency and volatility. Wind power forecasting plays a key role in tackling these challenges. A novel hybrid approach, combining wavelet transform, particle swarm optimization, and an adaptive-network-based fuzzy inference system, is proposed in this paper for short-term wind power forecasting in Portugal. A thorough comparison is carried out, taking into account the results obtained with seven other approaches. Finally, conclusions are duly drawn.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 10