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Predicting energy use in construction using Extreme Gradient Boosting

Annual increases in global energy consumption are an unavoidable consequence of a growing global economy and population. Among different sectors, the construction industry consumes an average of 20.1% of the world’s total energy. Therefore, exploring methods for estimating the amount of energy used...

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Detalles Bibliográficos
Autores principales:	Han, Jiaming, Shu, Kunxin, Wang, Zhenyu
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	PeerJ Inc. 2023
Materias:	Artificial Intelligence
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10496006/ https://www.ncbi.nlm.nih.gov/pubmed/37705620 http://dx.doi.org/10.7717/peerj-cs.1500

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