A Review on the Young History of the Wind Power Short-term Prediction

Araujo da Costa, Alexandre Carlos, Crespo Martínez, Antonio, Navarro, Jorge, Lizcano, Gil, Madsen, Henrik and Feitosa, Everaldo (2008). A Review on the Young History of the Wind Power Short-term Prediction. "Renewable and Sustainable Energy Reviews", v. 12 (n. 6); pp. 1725-1744. ISSN 1364-0321. https://doi.org/10.1016/j.rser.2007.01.015.

Description

Title: A Review on the Young History of the Wind Power Short-term Prediction
Author/s:
  • Araujo da Costa, Alexandre Carlos
  • Crespo Martínez, Antonio
  • Navarro, Jorge
  • Lizcano, Gil
  • Madsen, Henrik
  • Feitosa, Everaldo
Item Type: Article
Título de Revista/Publicación: Renewable and Sustainable Energy Reviews
Date: August 2008
ISSN: 1364-0321
Volume: 12
Subjects:
Freetext Keywords: Wind energy; short-term prediction; forecasting methods; models (mathematical); statistics; models (physical); meteorology.
Faculty: E.T.S.I. Industriales (UPM)
Department: Ingeniería Energética y Fluidomecánica [hasta 2014]
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

This paper makes a brief review on 30 years of history of the wind power short-term prediction, since the first ideas and sketches on the theme to the actual state of the art on models and tools, giving emphasis to the most significant proposals and developments. The two principal lines of thought on short-term prediction (mathematical and physical) are indistinctly treated here and comparisons between models and tools are avoided, mainly because, on the one hand, a standard for a measure of performance is still not adopted and, on the other hand, it is very important that the data are exactly the same in order to compare two models (this fact makes it almost impossible to carry out a quantitative comparison between a huge number of models and methods). In place of a quantitative description, a qualitative approach is preferred for this review, remarking the contribution (and innovative aspect) of each model. On the basis of the review, some topics for future research are pointed out.

More information

Item ID: 2729
DC Identifier: https://oa.upm.es/2729/
OAI Identifier: oai:oa.upm.es:2729
DOI: 10.1016/j.rser.2007.01.015
Official URL: http://www.elsevier.com/wps/find/journaldescriptio...
Deposited by: Memoria Investigacion
Deposited on: 06 Apr 2010 08:44
Last Modified: 20 Apr 2016 12:24
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