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Abstract
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Article Information:
Application of the Single Imputation Method to Estimate Missing Wind Speed Data in Malaysia
Nurulkamal Masseran, Ahmad Mahir Razali, Kamarulzaman Ibrahim, Azami Zaharim and Kamaruzzaman Sopian
Corresponding Author: Ahmad Mahir Razali
Submitted: October 22, 2012
Accepted: December 20, 2012
Published: July 20, 2013 |
Abstract:
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In almost all research fields, the procedure for handling missing values must be addressed before a detailed analysis can be made. Thus, a suitable method of imputation should be chosen to address the missing value problem. Wind speed has been found in engineering practice to be the most significant parameter in wind power. However, researchers are sometimes faced with the problem of missing wind speed data caused by equipment failure. In this study, we attempt to implement four types of single imputation methods to estimate the wind speed data from three adjacent stations in Malaysia. The methods, known as the site-dependent effect method, the hour mean method, the last and next method, and the row mean method, are compared based on the index of agreement to identify the best method for estimating the missing values. The results indicate that the last and next is the best of the three methods for estimating the missing data for the wind stations considered.
Key words: Imputation technique, missing at random, site-dependent effect method, wind speed, , ,
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Cite this Reference:
Nurulkamal Masseran, Ahmad Mahir Razali, Kamarulzaman Ibrahim, Azami Zaharim and Kamaruzzaman Sopian, . Application of the Single Imputation Method to Estimate Missing Wind Speed Data in Malaysia. Research Journal of Applied Sciences, Engineering and Technology, (10): 1780-1784.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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