The global energy crisis has prompted the European Union (EU) to concentrate on
enhancing energy efficiency in the building sector. One promising approach to achieving …

Large language models (LLMs) have exhibited great potential in fault diagnosis of heating,
ventilation, and air conditioning systems. However, the fault diagnosis accuracy of LLMs is …

Data mining technologies have showed promising capabilities in extracting building
operation patterns from massive amounts of building operational data for energy …

The incorporation of generative artificial intelligence (AI) systems, such as ChatGPT, holds
great potential in resha** diverse facets of architectural engineering. This research …

Large Language Models (LLMs) have emerged as potent tools for advancing the United
Nations' Sustainable Development Goals (SDGs). However, the attitudinal disparities …

This research paper delves into the integration of advanced generative artificial intelligence
(AI) models, such as ChatGPT, Bard, and similar architectures, within the realms of …

Deep learning has been advocated as the predominant modeling method in the next-
generation green building energy systems for energy prediction, predictive maintenance …

Abstract Large Language Models (LLMs) have become a hot topic in AI due to their ability to
mimic human conversation. This study compares the open artificial intelligence generative …

Multiple-chiller systems are widely adopted in large buildings due to their high flexibility and
efficiency in providing cooling capacity. A reliable and robust chiller sequencing control …

Large language models (LLMs) have shown human-level capabilities in solving various
complex tasks. However, it is still unknown whether state-of-the-art LLMs master sufficient …