The future role of artificial intelligence in energy management systems for smart cities: A systematic literature review of trends, gaps, and future direction

IF 5.7 3区计算机科学 Q1 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE

Sustainable Computing-Informatics & Systems Pub Date : 2026-01-01 Epub Date: 2025-11-07 DOI:10.1016/j.suscom.2025.101249

Ubaid ur Rehman

{"title":"The future role of artificial intelligence in energy management systems for smart cities: A systematic literature review of trends, gaps, and future direction","authors":"Ubaid ur Rehman","doi":"10.1016/j.suscom.2025.101249","DOIUrl":null,"url":null,"abstract":"<div><div>This systematic literature review (SLR) investigates the role of artificial intelligence (AI) in energy management systems (EMS) for smart cities, analyzing 85 studies from 2019 to 2025 using the PRISMA protocol and Biblioshiny tool for bibliometric analysis. The study uniquely identifies six thematic clusters IoT integration, renewable energy integration, energy forecasting, smart energy policies, AI optimization techniques, and blockchain-enabled systems revealing trends, gaps, and future directions. Key findings highlight AI’s transformative potential in energy optimization, demand response, and renewable integration, while pinpointing critical limitations such as scalability, computational complexity, and real-time adaptability. By proposing a novel six-step SLR methodology and actionable guidelines, this review bridges theoretical advancements with practical challenges, offering a roadmap for scalable, efficient, and resilient AI-driven EMS. This work provides researchers and practitioners with a comprehensive framework to advance sustainable urban energy systems, addressing gaps in scalability, ethical considerations, and real-world implementation.</div></div>","PeriodicalId":48686,"journal":{"name":"Sustainable Computing-Informatics & Systems","volume":"49 ","pages":"Article 101249"},"PeriodicalIF":5.7000,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Sustainable Computing-Informatics & Systems","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2210537925001702","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/11/7 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"COMPUTER SCIENCE, HARDWARE & ARCHITECTURE","Score":null,"Total":0}

引用次数: 0

Abstract

This systematic literature review (SLR) investigates the role of artificial intelligence (AI) in energy management systems (EMS) for smart cities, analyzing 85 studies from 2019 to 2025 using the PRISMA protocol and Biblioshiny tool for bibliometric analysis. The study uniquely identifies six thematic clusters IoT integration, renewable energy integration, energy forecasting, smart energy policies, AI optimization techniques, and blockchain-enabled systems revealing trends, gaps, and future directions. Key findings highlight AI’s transformative potential in energy optimization, demand response, and renewable integration, while pinpointing critical limitations such as scalability, computational complexity, and real-time adaptability. By proposing a novel six-step SLR methodology and actionable guidelines, this review bridges theoretical advancements with practical challenges, offering a roadmap for scalable, efficient, and resilient AI-driven EMS. This work provides researchers and practitioners with a comprehensive framework to advance sustainable urban energy systems, addressing gaps in scalability, ethical considerations, and real-world implementation.

查看原文本刊更多论文

人工智能在智慧城市能源管理系统中的未来作用：对趋势、差距和未来方向的系统文献综述

本系统文献综述（SLR）研究了人工智能（AI）在智慧城市能源管理系统（EMS）中的作用，使用PRISMA协议和Biblioshiny工具分析了2019年至2025年的85项研究。该研究独特地确定了六个主题集群物联网集成、可再生能源集成、能源预测、智能能源政策、人工智能优化技术和区块链支持系统，揭示了趋势、差距和未来方向。主要研究结果强调了人工智能在能源优化、需求响应和可再生能源整合方面的变革潜力，同时指出了可扩展性、计算复杂性和实时适应性等关键限制。通过提出一种新颖的六步单反方法和可操作的指导方针，本综述将理论进步与实际挑战联系起来，为可扩展、高效、有弹性的人工智能驱动的EMS提供了路线图。这项工作为研究人员和实践者提供了一个全面的框架，以推进可持续城市能源系统，解决可扩展性、伦理考虑和现实世界实施方面的差距。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Sustainable Computing-Informatics & Systems COMPUTER SCIENCE, HARDWARE & ARCHITECTUREC-COMPUTER SCIENCE, INFORMATION SYSTEMS

CiteScore

10.70

自引率

4.40%

发文量

142

期刊介绍： Sustainable computing is a rapidly expanding research area spanning the fields of computer science and engineering, electrical engineering as well as other engineering disciplines. The aim of Sustainable Computing: Informatics and Systems (SUSCOM) is to publish the myriad research findings related to energy-aware and thermal-aware management of computing resource. Equally important is a spectrum of related research issues such as applications of computing that can have ecological and societal impacts. SUSCOM publishes original and timely research papers and survey articles in current areas of power, energy, temperature, and environment related research areas of current importance to readers. SUSCOM has an editorial board comprising prominent researchers from around the world and selects competitively evaluated peer-reviewed papers.