Wind Power Short-Term Prediction by a Hybrid PSO-ANFIS Approach

• Type: Article in International Conference Proceedings Book
• Date: 2010

Authors

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

Conference proceedings International

Title: MELECON 2010: THE 15TH IEEE MEDITERRANEAN ELECTROTECHNICAL CONFERENCE

Pages: 955-960

15th IEEE Mediterranean Electrotechnical Conference (MELECON 2010)

MALTA, APR 25-28, 2010

Indexing

ISI Web of Knowledge - 5 Citations

Scopus - 10 Citations

Other information

Authenticus ID: P-003-BZK

DOI: 10.1109/melcon.2010.5475923

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. Wind power prediction plays a key role in tackling these challenges. A novel hybrid approach, combining particle swarm optimization and adaptive-network-based fuzzy inference system, is proposed in this paper for short-term wind power prediction. Results from a real-world case study are presented. Conclusions are duly drawn.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 6