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Title	Integration Of Llms In Smart Cities For Sustainable Energy Solutions
ID_Doc	32187
Authors	Darwish D.
Year	2025
Published	Revolutionizing Urban Development and Governance With Emerging Technologies
DOI	http://dx.doi.org/10.4018/979-8-3373-1375-7.ch014
Abstract	By enabling the quick expansion of urban areas and efficiently managing resources through sustainable and scalable innovations, smart cities are crucial components in the continuous pursuit of improving urban living standards. Smart city applications face multiple obstacles, one of which is the risk of sensitive data being exposed without authorization, due to the proliferation of new technologies such as the Internet of Things (IoT), big data analytics, fog computing, and edge computing. Thanks to their adaptability in natural language processing and other areas, large language models (LLMs) as Chatbots have garnered a lot of interest. Data collecting systems for LLM fine- tuning, LLM embedding of power system- specific tools, and a retrieval augmented generation (RAG)- based knowledge pool to improve LLM answers and LLMs in safety- critical use cases are important areas for future research initiatives. This chapter discusses how LLMs can lead to energy efficiency and sustainability in smart cities, by using literature review and case studies, as well as providing future directions. © 2025, IGI Global Scientific Publishing. All rights reserved.
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