Missing values imputation for wind speed
Link to publisher's homepage at https://amci.unimap.edu.my/
Saved in:
Main Authors: | , , |
---|---|
Other Authors: | |
Format: | Article |
Language: | English |
Published: |
Institute of Engineering Mathematics, Universiti Malaysia Perlis
2022
|
Subjects: | |
Online Access: | http://dspace.unimap.edu.my:80/xmlui/handle/123456789/74400 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Universiti Malaysia Perlis |
Language: | English |
id |
my.unimap-74400 |
---|---|
record_format |
dspace |
spelling |
my.unimap-744002022-02-21T00:47:03Z Missing values imputation for wind speed Nur Arina Bazilah, Kamisan Siti Mariam Norrulashikin Siti Fatimah, Hassan nurarinabazilah@utm.my Autoregressive model Imputation Mean interpolation Missing values Wind speed Link to publisher's homepage at https://amci.unimap.edu.my/ Addressing missing values is important in the process of getting a precise and accurate result. If missing data are not treated appropriately, then the results could lead to biased estimates. But different series may require different strategies to estimate these missing values. Seasonal data has a repetitive cycle that is predictable. By disaggregating the data into it seasonal factors, clear information behavior of the data could be observed and will make it easier to deal with the missing value. In this paper, the performance of three different methods is being compared with each other. One of the imputation methods will used information from the seasonality for the missing values to enhance the imputation technique. the other two methods are mean interpolation and AR model as the missing values imputation. Wind speed data from Alor Setar, Malaysia are used for this purpose. From the error measurement, the enhanced technique gives the best performance compared to the other two techniques. 2022-02-21T00:47:03Z 2022-02-21T00:47:03Z 2021-12 Article Applied Mathematics and Computational Intelligence (AMCI), vol.10(1), 2021, pages 319-327 2289-1315 (print) 2289-1323 (online) http://dspace.unimap.edu.my:80/xmlui/handle/123456789/74400 https://amci.unimap.edu.my/ en Institute of Engineering Mathematics, Universiti Malaysia Perlis |
institution |
Universiti Malaysia Perlis |
building |
UniMAP Library |
collection |
Institutional Repository |
continent |
Asia |
country |
Malaysia |
content_provider |
Universiti Malaysia Perlis |
content_source |
UniMAP Library Digital Repository |
url_provider |
http://dspace.unimap.edu.my/ |
language |
English |
topic |
Autoregressive model Imputation Mean interpolation Missing values Wind speed |
spellingShingle |
Autoregressive model Imputation Mean interpolation Missing values Wind speed Nur Arina Bazilah, Kamisan Siti Mariam Norrulashikin Siti Fatimah, Hassan Missing values imputation for wind speed |
description |
Link to publisher's homepage at https://amci.unimap.edu.my/ |
author2 |
nurarinabazilah@utm.my |
author_facet |
nurarinabazilah@utm.my Nur Arina Bazilah, Kamisan Siti Mariam Norrulashikin Siti Fatimah, Hassan |
format |
Article |
author |
Nur Arina Bazilah, Kamisan Siti Mariam Norrulashikin Siti Fatimah, Hassan |
author_sort |
Nur Arina Bazilah, Kamisan |
title |
Missing values imputation for wind speed |
title_short |
Missing values imputation for wind speed |
title_full |
Missing values imputation for wind speed |
title_fullStr |
Missing values imputation for wind speed |
title_full_unstemmed |
Missing values imputation for wind speed |
title_sort |
missing values imputation for wind speed |
publisher |
Institute of Engineering Mathematics, Universiti Malaysia Perlis |
publishDate |
2022 |
url |
http://dspace.unimap.edu.my:80/xmlui/handle/123456789/74400 |
_version_ |
1729704766464851968 |