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Modelling Daily Load Profiles In The Utility Of Malaysia

This paper presents a statistical framework for the modelling of daily load profiles. Data of short term load profiles in the utility of Malaysia with the reading recorded every half an hour was used for this study. The daily plot and analysis of average maximum demand and minimum demand was done in...

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Main Authors: Ahmad , Arfah, Ahmad, Suziana, Wan Abdul razak, Intan Azmira, Anwar Apandi, Nur Ilyana
Format: Conference or Workshop Item
Language:English
Published: 2012
Subjects:
T Technology (General)
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://eprints.utem.edu.my/id/eprint/20149/1/MODELLING%20DAILY%20LOAD%20PROFILES%20IN%20THE%20UTILITY%20OF%20MALAYSIA-ARFAH%20AHMAD-MAK%2000605%20RAF.pdf
http://eprints.utem.edu.my/id/eprint/20149/
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spelling my.utem.eprints.201492017-12-14T08:11:02Z http://eprints.utem.edu.my/id/eprint/20149/ Modelling Daily Load Profiles In The Utility Of Malaysia Ahmad , Arfah Ahmad, Suziana Wan Abdul razak, Intan Azmira Anwar Apandi, Nur Ilyana T Technology (General) TK Electrical engineering. Electronics Nuclear engineering This paper presents a statistical framework for the modelling of daily load profiles. Data of short term load profiles in the utility of Malaysia with the reading recorded every half an hour was used for this study. The daily plot and analysis of average maximum demand and minimum demand was done in order to choose the best statistical distribution to be fit this data. Analysis shows that the average maximum load, minimum load and average load consumption are vary for every seven days. The frequency distribution plots of the data reveal different pattern for different days. Based on these, the normal distribution, log-normal distribution and Weibull distribution was fit to the data. Maximum likelihood method was used to estimate parameters in these distributions. The assessments of the best distribution are by using numerical method, namely the mean square error (MSE) and normal absolute error (NAE). Result shows that the load consumption for each seven day can be model using different statistical distributions. Hence results from this study can be used to forecast the daily load consumption using confidence interval method. 2012 Conference or Workshop Item PeerReviewed text en http://eprints.utem.edu.my/id/eprint/20149/1/MODELLING%20DAILY%20LOAD%20PROFILES%20IN%20THE%20UTILITY%20OF%20MALAYSIA-ARFAH%20AHMAD-MAK%2000605%20RAF.pdf Ahmad , Arfah and Ahmad, Suziana and Wan Abdul razak, Intan Azmira and Anwar Apandi, Nur Ilyana (2012) Modelling Daily Load Profiles In The Utility Of Malaysia. In: The National Conference on Electrical and Electronics Engineering (NCEEE 2012) , 8-9 Mei 2012, The Katerina Hotel, Batu Pahat, Johor. (Submitted)
institution Universiti Teknikal Malaysia Melaka
building UTEM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknikal Malaysia Melaka
content_source UTEM Institutional Repository
url_provider http://eprints.utem.edu.my/
language English
topic T Technology (General)
TK Electrical engineering. Electronics Nuclear engineering
spellingShingle T Technology (General)
TK Electrical engineering. Electronics Nuclear engineering
Ahmad , Arfah
Ahmad, Suziana
Wan Abdul razak, Intan Azmira
Anwar Apandi, Nur Ilyana
Modelling Daily Load Profiles In The Utility Of Malaysia
description This paper presents a statistical framework for the modelling of daily load profiles. Data of short term load profiles in the utility of Malaysia with the reading recorded every half an hour was used for this study. The daily plot and analysis of average maximum demand and minimum demand was done in order to choose the best statistical distribution to be fit this data. Analysis shows that the average maximum load, minimum load and average load consumption are vary for every seven days. The frequency distribution plots of the data reveal different pattern for different days. Based on these, the normal distribution, log-normal distribution and Weibull distribution was fit to the data. Maximum likelihood method was used to estimate parameters in these distributions. The assessments of the best distribution are by using numerical method, namely the mean square error (MSE) and normal absolute error (NAE). Result shows that the load consumption for each seven day can be model using different statistical distributions. Hence results from this study can be used to forecast the daily load consumption using confidence interval method.
format Conference or Workshop Item
author Ahmad , Arfah
Ahmad, Suziana
Wan Abdul razak, Intan Azmira
Anwar Apandi, Nur Ilyana
author_facet Ahmad , Arfah
Ahmad, Suziana
Wan Abdul razak, Intan Azmira
Anwar Apandi, Nur Ilyana
author_sort Ahmad , Arfah
title Modelling Daily Load Profiles In The Utility Of Malaysia
title_short Modelling Daily Load Profiles In The Utility Of Malaysia
title_full Modelling Daily Load Profiles In The Utility Of Malaysia
title_fullStr Modelling Daily Load Profiles In The Utility Of Malaysia
title_full_unstemmed Modelling Daily Load Profiles In The Utility Of Malaysia
title_sort modelling daily load profiles in the utility of malaysia
publishDate 2012
url http://eprints.utem.edu.my/id/eprint/20149/1/MODELLING%20DAILY%20LOAD%20PROFILES%20IN%20THE%20UTILITY%20OF%20MALAYSIA-ARFAH%20AHMAD-MAK%2000605%20RAF.pdf
http://eprints.utem.edu.my/id/eprint/20149/
_version_ 1665905768196472832
score 13.211869

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