A Comparative Study of Building Energy Consumption Prediction Methods
Continued usage of fossil fuel-based electricity generation is one of the main factors for the greenhouse effect. As the greenhouse effect increase, the ambient temperature of the earth will also increase. As the temperature increase, the usage of air conditioning in buildings is also expected to in...
Published in: | Journal of Advanced Research in Fluid Mechanics and Thermal Sciences |
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Semarak Ilmu Publishing
2024
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2-s2.0-85209135587 Amilludin M.; Ab. Rahman A.; Ahmad A.; Mohd Ab. Halim M.F.; Hashim N.; Facta M. A Comparative Study of Building Energy Consumption Prediction Methods 2024 Journal of Advanced Research in Fluid Mechanics and Thermal Sciences 123 1 10.37934/arfmts.123.1.6985 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85209135587&doi=10.37934%2farfmts.123.1.6985&partnerID=40&md5=b1fc705c390a1d5e35f8e073e6fa996d Continued usage of fossil fuel-based electricity generation is one of the main factors for the greenhouse effect. As the greenhouse effect increase, the ambient temperature of the earth will also increase. As the temperature increase, the usage of air conditioning in buildings is also expected to increase. Since that more than 50 % of building energy consumption goes to air conditioning, it is utterly important to look into the methods that can be used to predict the impact of variations in temperature towards building energy consumption. This paper hence tries to perform a conceptual review on the prevalent methods that have been used for prediction of energy consumption, grouped in the category known as the white box, grey box and black box. The comparison of the different methods used in forecasting of energy consumption is discussed in terms of application, input, specific approach, advantage and disadvantage. It is hoped that the work carried out in this paper will be the reference to jump start the research work of others in this field of study. © 2024, Semarak Ilmu Publishing. All rights reserved. Semarak Ilmu Publishing 22897879 English Article |
author |
Amilludin M.; Ab. Rahman A.; Ahmad A.; Mohd Ab. Halim M.F.; Hashim N.; Facta M. |
spellingShingle |
Amilludin M.; Ab. Rahman A.; Ahmad A.; Mohd Ab. Halim M.F.; Hashim N.; Facta M. A Comparative Study of Building Energy Consumption Prediction Methods |
author_facet |
Amilludin M.; Ab. Rahman A.; Ahmad A.; Mohd Ab. Halim M.F.; Hashim N.; Facta M. |
author_sort |
Amilludin M.; Ab. Rahman A.; Ahmad A.; Mohd Ab. Halim M.F.; Hashim N.; Facta M. |
title |
A Comparative Study of Building Energy Consumption Prediction Methods |
title_short |
A Comparative Study of Building Energy Consumption Prediction Methods |
title_full |
A Comparative Study of Building Energy Consumption Prediction Methods |
title_fullStr |
A Comparative Study of Building Energy Consumption Prediction Methods |
title_full_unstemmed |
A Comparative Study of Building Energy Consumption Prediction Methods |
title_sort |
A Comparative Study of Building Energy Consumption Prediction Methods |
publishDate |
2024 |
container_title |
Journal of Advanced Research in Fluid Mechanics and Thermal Sciences |
container_volume |
123 |
container_issue |
1 |
doi_str_mv |
10.37934/arfmts.123.1.6985 |
url |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85209135587&doi=10.37934%2farfmts.123.1.6985&partnerID=40&md5=b1fc705c390a1d5e35f8e073e6fa996d |
description |
Continued usage of fossil fuel-based electricity generation is one of the main factors for the greenhouse effect. As the greenhouse effect increase, the ambient temperature of the earth will also increase. As the temperature increase, the usage of air conditioning in buildings is also expected to increase. Since that more than 50 % of building energy consumption goes to air conditioning, it is utterly important to look into the methods that can be used to predict the impact of variations in temperature towards building energy consumption. This paper hence tries to perform a conceptual review on the prevalent methods that have been used for prediction of energy consumption, grouped in the category known as the white box, grey box and black box. The comparison of the different methods used in forecasting of energy consumption is discussed in terms of application, input, specific approach, advantage and disadvantage. It is hoped that the work carried out in this paper will be the reference to jump start the research work of others in this field of study. © 2024, Semarak Ilmu Publishing. All rights reserved. |
publisher |
Semarak Ilmu Publishing |
issn |
22897879 |
language |
English |
format |
Article |
accesstype |
|
record_format |
scopus |
collection |
Scopus |
_version_ |
1818940550210912256 |