Improvement in Wind Power Forecasting Based on Information Entropy-Related Concepts

• Type: Chapter or Part of a Book
• Date: 2008

Authors

Bessa, R (Author) Other; Vladimiro Miranda (Author) FEUP; João Gama (Author) FEP

Book

Title: 2008 Ieee Power & Energy Society General Meeting, Vols 1-11

Pages: 688-693

ISBN: 978-1-4244-1905-0

Publisher: IEEE - Institute of Electrical and Electronics Engineers

Indexing

ISI Web of Knowledge - 0 Citations

Scopus - 6 Citations

Scientific classification

FOS: Engineering and technology > Other engineering and technologies

Other information

Authenticus ID: P-004-5DR

DOI: 10.1109/pes.2008.4596932

Abstract (EN): This paper reports new results in adopting entropy concepts to the training of mappers such as neural networks to perform wind power prediction as a function of wind characteristics (mainly speed and direction) in wind parks connected to a power grid. It also addresses the differences relevant to power system operation between off-line and on-line training of neural networks. Real case examples are presented.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 6