A Combination of Machine Learning Algorithms and Parametric Design Tools to Predict the Energy Consumption for Residential Buildings.

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Title: A Combination of Machine Learning Algorithms and Parametric Design Tools to Predict the Energy Consumption for Residential Buildings.
Authors: Obeidat, Laith M.1, Wedyan, Musab2, Al-Radaideh, Tamer1, Ma'bdeh, Shouib Nouh1, snmabdeh@just.edu.jo, Shannik, Rania3
Source: International Review of Civil Engineering; Mar2024, Vol. 15 Issue 2, p130-141, 12p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 178870228
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
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  Data: A Combination of Machine Learning Algorithms and Parametric Design Tools to Predict the Energy Consumption for Residential Buildings.
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  Data: <searchLink fieldCode="JN" term="%22International+Review+of+Civil+Engineering%22">International Review of Civil Engineering</searchLink>; Mar2024, Vol. 15 Issue 2, p130-141, 12p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=178870228
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        Value: 10.15866/irece.v15i2.23601
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      – Code: eng
        Text: English
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        StartPage: 130
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      – TitleFull: A Combination of Machine Learning Algorithms and Parametric Design Tools to Predict the Energy Consumption for Residential Buildings.
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            NameFull: Obeidat, Laith M.
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              Text: Mar2024
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              Y: 2024
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