Prediction of Energy Efficiency for Residential Buildings Using Supervised Machine Learning Algorith...
Prediction of Energy Efficiency for Residential Buildings Using Supervised Machine Learning Algorithms
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Publisher
Basel: MDPI AG
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Language
English
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Basel: MDPI AG
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Contents
In the era of digitalization, the large availability of data and innovations in machine learning algorithms provide new potential to improve the prediction of energy efficiency in buildings. The building sector research in the Kingdom of Saudi Arabia (KSA) lacks actual/measured data-based studies as the existing studies are predominantly modeling-b...
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Full title
Prediction of Energy Efficiency for Residential Buildings Using Supervised Machine Learning Algorithms
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TN_cdi_doaj_primary_oai_doaj_org_article_f9ef96c6e44148d8adcaff43a29424f5
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_f9ef96c6e44148d8adcaff43a29424f5
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ISSN
1996-1073
E-ISSN
1996-1073
DOI
10.3390/en17194965
