Please use this identifier to cite or link to this item: http://repositorio.inesctec.pt/handle/123456789/1577
Title: Improvement in Wind Power Forecasting Based on Information Entropy-Related Concepts
Authors: Ricardo Jorge Bessa
Vladimiro Miranda
João Gama
Issue Date: 2008
Abstract: 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.
URI: http://repositorio.inesctec.pt/handle/123456789/1577
metadata.dc.type: conferenceObject
Publication
Appears in Collections:CPES - Articles in International Conferences

Files in This Item:
File Description SizeFormat 
PS-05850.pdf
  Restricted Access
1.21 MBAdobe PDFView/Open Request a copy


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.