Record Details

Wave simulation and forecasting using wind time history and data-driven methods

DSpace at IIT Bombay

View Archive Info
 
 
Field Value
 
Title Wave simulation and forecasting using wind time history and data-driven methods
 
Creator KAMBEKAR, AR
DEO, MC
 
Subject artificial neural-networks
m5 model trees
prediction
parameters
coast
height
river
wave simulation
wave forecasting
wind time history
genetic programming
model trees
 
Description Simulation and forecasting of significant wave heights and average zero-cross wave periods in real time are done for a specified location, given the past observed sequence of wind speed and wind direction. This is based on time series forecasting implemented using the two recent data-driven methods of genetic programming (GP) and model trees (MT). The wave buoy measurements made at eight different offshore locations around the west as well as the east coast in India are considered. Both genetic programming and model trees perform satisfactorily in the given task of wind-wave simulation and forecasting as reflected in the values of the six different error statistics employed to assess the performance of developed models over testing sets of data. Although the magnitudes of error statistics do not indicate a significant difference between the performance of GP and MT, qualitative scatter diagrams and time histories showed the tendency of MT to estimate higher waves more correctly.
 
Publisher TAYLOR & FRANCIS LTD
 
Date 2011-08-31T07:20:38Z
2011-12-26T12:59:25Z
2011-12-27T05:51:30Z
2011-08-31T07:20:38Z
2011-12-26T12:59:25Z
2011-12-27T05:51:30Z
2010
 
Type Article
 
Identifier SHIPS AND OFFSHORE STRUCTURES, 5(3), 253-266
1744-5302
http://dx.doi.org/10.1080/17445300903439223
http://dspace.library.iitb.ac.in/xmlui/handle/10054/12628
http://hdl.handle.net/10054/12628
 
Language en