Artículo

Exploring low-carbon and sustainable urban transformation design using ChatGPT and artificial bee colony algorithm

Resumen

The aim of this study is to provide effective solutions to promote the transition of resource-based cities to low carbon and sustainable development. Firstly, this study investigates the background of low-carbon transformation of resource-based cities. Secondly, it introduces the application method of Chat Generative Pre-trained Transformer (ChatGPT) in detail. Finally, this study proposes a comprehensive application of ChatGPT and artificial bee colony (ABC) algorithm. The results show that the average energy utilization efficiency improvement index of the group using ChatGPT is 0.11. The average energy efficiency improvement index of the group using ABC algorithm is 0.02 higher than that of the control group. The integrated application of ChatGPT and ABC algorithm can further improve the low-carbon transformation effect of resource-based cities and achieve the goal of green development.
Ma, Ting (59473983700)
Systematically visualizing ChatGPT used in higher education: Publication trend, disciplinary domains, research themes, adoption and acceptance
2025
10.1016/j.caeai.2024.100336
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85212187351&doi=10.1016%2fj.caeai.2024.100336&partnerID=40&md5=be9cece6c444d6a6fe20fb8d8221d960
Department of International Languages and Business, Shandong Foreign Trade Vocational College, China
All Open Access; Gold Open Access
Scopus
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