作者
Tahereh Saheb, Mohamad Dehghani, Tayebeh Saheb
发表日期
2022/9/1
期刊
Sustainable Computing: Informatics and Systems
卷号
35
页码范围
100699
出版商
Elsevier
简介
Parallel to the rising debates over sustainable energy and artificial intelligence solutions, the world is currently discussing the ethics of artificial intelligence and its possible negative effects on society and the environment. In these arguments, sustainable AI is proposed, which aims at advancing the pathway toward sustainability, such as sustainable energy. In this paper, we offered a novel contextual topic modeling combining LDA, BERT and Clustering. We then combined these computational analyses with content analysis of related scientific publications to identify the main scholarly topics, sub-themes and cross-topic themes within scientific research on sustainable AI in energy. Our research identified eight dominant topics including sustainable buildings, AI-based DSSs for urban water management, climate artificial intelligence, Agriculture 4, convergence of AI with IoT, AI-based evaluation of renewable …
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T Saheb, M Dehghani, T Saheb - Sustainable Computing: Informatics and Systems, 2022