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Genetic programming for real-time prediction of offshore wind

DSpace at IIT Bombay

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Title Genetic programming for real-time prediction of offshore wind
 
Creator CHARHATE, SB
DEO, MC
LONDHE, SN
 
Subject genetic programming
artificial neural networks
wind speed
wind direction
wind prediction
 
Description Wind speed and its direction at two offshore locations along the west coast of India are predicted over future time-steps of 3 to 24 hrs based on a sequence past wind measurements made by floating buoys. This is done based on a relatively new soft computing tool using genetic programming. The attention of investigators has recently been drawn to the application of this approach that differs from the well-known technique of genetic algorithms in basic coding and application of genetic operators. Unlike most of the past works dealing with causative modeling or spatial correlations, this study explores the usefulness of genetic programming to carry out temporal regression. It is found that the resulting predictions of wind movements rival those made by an equivalent and more traditional artificial neural network and sometimes appear more attractive when multiple-error criteria were applied. The success of genetic programming as a modelling tool reported in this study may inspire similar applications in future in the problem domain of offshore engineering, and more research in the computing domain as well.
 
Publisher TAYLOR & FRANCIS LTD
 
Date 2011-08-31T00:16:16Z
2011-12-26T12:59:14Z
2011-12-27T05:50:19Z
2011-08-31T00:16:16Z
2011-12-26T12:59:14Z
2011-12-27T05:50:19Z
2009
 
Type Article
 
Identifier SHIPS AND OFFSHORE STRUCTURES, 4(1), 77-88
1744-5302
http://dx.doi.org/10.1080/17445300802492638
http://dspace.library.iitb.ac.in/xmlui/handle/10054/12512
http://hdl.handle.net/10054/12512
 
Language en