Application of Adaptive Neuro-Fuzzy Inference for Wind Power Short-Term Forecasting

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

Authors

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

Journal

Title: IEEJ Transactions on Electrical and Electronic Engineering

Vol. 6

Pages: 571-576

ISSN: 1931-4973

Publisher: Wiley-Blackwell

Indexing

ISI Web of Knowledge - 12 Citations

Scopus - 18 Citations

Other information

Authenticus ID: P-002-K6H

DOI: 10.1002/tee.20697

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. Hence, good forecasting tools play a key role in tackling these challenges. In this paper, an adaptive neuro-fuzzy inference approach is proposed for short-term wind power forecasting. Results from a real-world case study are presented. A thorough comparison is carried out, taking into account the results obtained with other approaches. Numerical results are presented and conclusions are duly drawn. (C) 2011 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 6