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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/7107
Title: Analysis of wind power generation and prediction using ANN: A case study
Authors: Carolin Mabel M.
Fernandez, Eugene
Published in: Renewable Energy
Abstract: Many developing nations, such as India have embarked upon wind energy programs for areas experiencing high average wind speeds throughout the year. One of the states in India that is actively pursuing wind power generation programs is Tamil Nadu. Within this state, Muppandal area is one of the identified regions where wind farm concentration is high. Wind energy engineers are interested in studies that aim at assessing the output of wind farms, for which, artificial intelligence techniques can be usefully adapted. The present paper attempts to apply this concept for assessment of the wind energy output of wind farms in Muppandal, Tamil Nadu (India). Field data are collected from seven wind farms at this site over a period of 3 years from April 2002 to March 2005 and used for the analysis and prediction of power generation from wind farms. The model has been developed with the help of neural network methodology. It involves three input variables-wind speed, relative humidity and generation hours and one output variable-energy output of wind farms. The modeling is done using MATLAB toolbox. The model accuracy is evaluated by comparing the simulated results with the actual measured values at the wind farms and is found to be in good agreement. © 2007 Elsevier Ltd. All rights reserved.
Citation: Renewable Energy (2008), 33(5): 986-992
URI: https://doi.org/10.1016/j.renene.2007.06.013
http://repository.iitr.ac.in/handle/123456789/7107
Issue Date: 2008
Keywords: Artificial neural networks
MATLAB toolbox
Modeling
Wind power prediction
Wind speed
ISSN: 9601481
Author Scopus IDs: 23468434800
18133259300
Author Affiliations: Carolin Mabel, M., Department of Electrical Engineering, Indian Institute of Technology Roorkee, Roorkee, 247 667 Uttaranchal, India
Fernandez, E., Department of Electrical Engineering, Indian Institute of Technology Roorkee, Roorkee, 247 667 Uttaranchal, India
Corresponding Author: Carolin Mabel, M.; Department of Electrical Engineering, Indian Institute of Technology Roorkee, Roorkee, 247 667 Uttaranchal, India; email: carolin_mabel@yahoo.co.in
Appears in Collections:Journal Publications [EE]

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