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Data selection test method for better prediction of building electricity consumption

The issue of obtaining an accurate prediction of electricity consumption has been widely discussed by many previous works. Various techniques have been used such as statistical method, time-series, heuristic methods and many more. Whatever the technique used, the accuracy of prediction depends on th...

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Main Authors: Syah, Iqbal Faridian, Abdullah, Md. Pauzi, Syadli, Husna, Hassan, Mohammad Yusri, Hussin, Faridah
Format: Article
Language:English
Published: Penerbit UTM Press 2016
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://eprints.utm.my/id/eprint/69127/1/IqbalFaridianSyah2016_Dataselectiontestmethodforbetter.pdf
http://eprints.utm.my/id/eprint/69127/
http://dx.doi.org/10.11113/jt.v78.8715
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spelling my.utm.691272017-11-14T06:23:15Z http://eprints.utm.my/id/eprint/69127/ Data selection test method for better prediction of building electricity consumption Syah, Iqbal Faridian Abdullah, Md. Pauzi Syadli, Husna Hassan, Mohammad Yusri Hussin, Faridah TK Electrical engineering. Electronics Nuclear engineering The issue of obtaining an accurate prediction of electricity consumption has been widely discussed by many previous works. Various techniques have been used such as statistical method, time-series, heuristic methods and many more. Whatever the technique used, the accuracy of prediction depends on the availability of historical data as well as the proper selection of the data. Even the data is exhaustive; it must be selected so that the prediction accuracy can be improved. This paper presented a test method named Data Selection Test (DST) method that can be used to test the historical data to select the correct data set for prediction. The DST method is demonstrated and tested on practical electricity consumption data of a selected commercial building. Three different prediction methods are used (ie. Moving Average, MA, Exponential Smoothing, ES and Linear Regression, LR) to evaluate the prediction accuracy by using the data set recommended by the DST method. Penerbit UTM Press 2016 Article PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/69127/1/IqbalFaridianSyah2016_Dataselectiontestmethodforbetter.pdf Syah, Iqbal Faridian and Abdullah, Md. Pauzi and Syadli, Husna and Hassan, Mohammad Yusri and Hussin, Faridah (2016) Data selection test method for better prediction of building electricity consumption. Jurnal Teknologi, 78 (5-7). pp. 67-72. ISSN 0127-9696 http://dx.doi.org/10.11113/jt.v78.8715 DOI:10.11113/jt.v78.8715
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Syah, Iqbal Faridian
Abdullah, Md. Pauzi
Syadli, Husna
Hassan, Mohammad Yusri
Hussin, Faridah
Data selection test method for better prediction of building electricity consumption
description The issue of obtaining an accurate prediction of electricity consumption has been widely discussed by many previous works. Various techniques have been used such as statistical method, time-series, heuristic methods and many more. Whatever the technique used, the accuracy of prediction depends on the availability of historical data as well as the proper selection of the data. Even the data is exhaustive; it must be selected so that the prediction accuracy can be improved. This paper presented a test method named Data Selection Test (DST) method that can be used to test the historical data to select the correct data set for prediction. The DST method is demonstrated and tested on practical electricity consumption data of a selected commercial building. Three different prediction methods are used (ie. Moving Average, MA, Exponential Smoothing, ES and Linear Regression, LR) to evaluate the prediction accuracy by using the data set recommended by the DST method.
format Article
author Syah, Iqbal Faridian
Abdullah, Md. Pauzi
Syadli, Husna
Hassan, Mohammad Yusri
Hussin, Faridah
author_facet Syah, Iqbal Faridian
Abdullah, Md. Pauzi
Syadli, Husna
Hassan, Mohammad Yusri
Hussin, Faridah
author_sort Syah, Iqbal Faridian
title Data selection test method for better prediction of building electricity consumption
title_short Data selection test method for better prediction of building electricity consumption
title_full Data selection test method for better prediction of building electricity consumption
title_fullStr Data selection test method for better prediction of building electricity consumption
title_full_unstemmed Data selection test method for better prediction of building electricity consumption
title_sort data selection test method for better prediction of building electricity consumption
publisher Penerbit UTM Press
publishDate 2016
url http://eprints.utm.my/id/eprint/69127/1/IqbalFaridianSyah2016_Dataselectiontestmethodforbetter.pdf
http://eprints.utm.my/id/eprint/69127/
http://dx.doi.org/10.11113/jt.v78.8715
_version_ 1643656008889794560
score 13.211869

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