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Open AccessFeature PaperArticle

Analysis of the Impact of Residential Property and Equipment on Building Energy Efficiency and Consumption—A Data Mining Approach

1
School of Industrial Engineering, Iran University of Science and Technology (IUST), Tehran 1684613114, Iran
2
Data Science & Big Data Lab, Pablo de Olavide University, ES-41013 Seville, Spain
*
Authors to whom correspondence should be addressed.
Appl. Sci. 2020, 10(10), 3589; https://doi.org/10.3390/app10103589
Received: 14 February 2020 / Revised: 11 May 2020 / Accepted: 15 May 2020 / Published: 22 May 2020
Human living could become very difficult due to a lack of energy. The household sector plays a significant role in energy consumption. Trying to optimize and achieve efficient energy consumption can lead to large-scale energy savings. The aim of this paper is to identify the equipment and property affecting energy efficiency and consumption in residential homes. For this purpose, a hybrid data-mining approach based on K-means algorithms and decision trees is presented. To analyze the approach, data is modeled once using the approach and then without it. A data set of residential homes of England and Wales is arranged in low, medium and high consumption clusters. The C5.0 algorithm is run on each cluster to extract factors affecting energy efficiency. The comparison of the modeling results, and also their accuracy, prove that the approach employed has the ability to extract the findings with greater accuracy and detail than in other cases. The installation of boilers, using cavity walls, and installing insulation could improve energy efficiency. Old homes and the usage of economy 7 electricity have an unfavorable effect on energy efficiency, but the approach shows that each cluster behaved differently in these factors related to energy efficiency and has unique results. View Full-Text
Keywords: residential building; energy efficiency; clustering; decision tree residential building; energy efficiency; clustering; decision tree
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Nazeriye, M.; Haeri, A.; Martínez-Álvarez, F. Analysis of the Impact of Residential Property and Equipment on Building Energy Efficiency and Consumption—A Data Mining Approach. Appl. Sci. 2020, 10, 3589.

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