Application of the single imputation method to estimate missing wind speed data in Malaysia

Research output: Contribution to journalArticle

12 Citations (Scopus)

Abstract

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 fromthree 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 thethree methods for estimating the missing data for the wind stations considered.

Original languageEnglish
Pages (from-to)1780-1784
Number of pages5
JournalResearch Journal of Applied Sciences, Engineering and Technology
Volume6
Issue number10
Publication statusPublished - 2013

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Wind power

Keywords

  • Imputation technique
  • Missing at random
  • Site-dependent effect method
  • Wind speed

ASJC Scopus subject areas

  • Engineering(all)
  • Computer Science(all)

Cite this

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title = "Application of the single imputation method to estimate missing wind speed data in Malaysia",
abstract = "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 fromthree 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 thethree methods for estimating the missing data for the wind stations considered.",
keywords = "Imputation technique, Missing at random, Site-dependent effect method, Wind speed",
author = "Nurulkamal Masseran and Razali, {Ahmad Mahir} and Kamarulzaman Ibrahim and Azami Zaharimand and Kamaruzzaman Sopian",
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T1 - Application of the single imputation method to estimate missing wind speed data in Malaysia

AU - Masseran, Nurulkamal

AU - Razali, Ahmad Mahir

AU - Ibrahim, Kamarulzaman

AU - Zaharimand, Azami

AU - Sopian, Kamaruzzaman

PY - 2013

Y1 - 2013

N2 - 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 fromthree 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 thethree methods for estimating the missing data for the wind stations considered.

AB - 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 fromthree 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 thethree methods for estimating the missing data for the wind stations considered.

KW - Imputation technique

KW - Missing at random

KW - Site-dependent effect method

KW - Wind speed

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