Hybrid Neuro-Fuzzy Evolutionary Approach for Short-Term Wind Power Forecasting

• Type: Article in International Conference Proceedings Book
• Date: 2012

Authors

Osorio, GJ (Author) Other; Matias, JCO (Author) Other; Pousinho, HMI (Author) Other; Catalao, JPS (Author) Other

Conference proceedings International

Title: 2012 16TH IEEE MEDITERRANEAN ELECTROTECHNICAL CONFERENCE (MELECON)

Pages: 257-260

16th IEEE Mediterranean Electrotechnical Conference (MELECON)

Hammamet, TUNISIA, MAR 25-28, 2012

Indexing

ISI Web of Knowledge - 3 Citations

Scopus - 4 Citations

Other information

Authenticus ID: P-002-F9X

DOI: 10.1109/melcon.2012.6196427

Abstract (EN): This paper present a novel hybrid approach based on a combination of wavelet transform (WT), evolutionary particle swarm optimization (EPSO) and adaptive-network-based inference system (ANFIS), for short-term wind power forecasting in Portugal. The accuracy of the wind power forecasting attained with the proposed approach is evaluated, reporting its proficiency from a real-world case study in comparison with other methodologies. Conclusions are duly drawn.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 4