Data science for building energy efficiency: A comprehensive text-mining driven review of scientific literature

[Display omitted] •30,000 full-text building-related articles have been extracted for text mining.•Data-science, energy efficiency, and lifecycle phases relations have been drawn.•Word embeddings model has been used to extract the relationship between keywords.•Gaps, opportunities, and potential fut...

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Veröffentlicht in:	Energy and buildings 2021-07, Vol.242, p.110885, Article 110885
Hauptverfasser:	Abdelrahman, Mahmoud M., Zhan, Sicheng, Miller, Clayton, Chong, Adrian
Format:	Artikel
Sprache:	eng
Schlagworte:	Building energy efficiency Buildings Built environment Construction Data mining Data science Design Energy conversion efficiency Energy efficiency Fault detection Fault diagnosis Generative adversarial networks Green buildings Life cycle analysis Life cycles Literature reviews Natural language processing Reference mining Reviews Scientific papers Transfer learning Urban environments Word embeddings
Online-Zugang:	Volltext
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