Artificial Intelligence Techniques in Green and Smart Buildings: A Bibliometric Review

The numerous benefits offered by green and/or intelligent buildings have led to an increase in their construction. In parallel, various artificial intelligence (AI) techniques have been recognized as relevant for these types of buildings to rationalize, optimize and innovate their operation. The amalgamation of green and smart buildings with AI techniques holds remarkable potential to ensure greater structural stability and minimize negative ecological impacts on the environment and society. Although research on the application of AI of green and smart buildings exists, our understanding of the utility and benefits of its integration remain fragmented. To address this gap, this investigation aims to examine the relevance and benefits of the convergence of AI techniques in green and smart buildings. Using Web of Science and Scopus databases, this study used bibliometric analysis to present an exhaustive review of the field's publication productivity, most influential articles and most relevant actors (i.e., authors, research centers, and countries). Additionally, using content analysis, this investigation sheds light on the field's cognitive structure, which is based on five thematic clusters. The study concludes with a temporal keyword analysis focusing on the Triple Bottom Line benefits obtained through the application of AI techniques in green or smart buildings. The most noteworthy contribution of this study is that it is the first study that performs a bibliometric analysis on Artificial Intelligence Techniques in green and smart Buildings, which is an important endeavor to help interested scholars and professionals to gain a scientific overview of existing research in the field.

کلیدواژه ها:

Green buildings ، Smart buildings ، Sustainability ، Machine learning ، Deep learning ، Bibliometric