A review of machine learning and IoT-based energy management systems for AC microgrids

IF 4 3区计算机科学 Q1 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE

Computers & Electrical Engineering Pub Date : 2025-07-12 DOI:10.1016/j.compeleceng.2025.110563

Hanane Tasmant , Badre Bossoufi , Chakib Alaoui , Pierluigi Siano

{"title":"A review of machine learning and IoT-based energy management systems for AC microgrids","authors":"Hanane Tasmant , Badre Bossoufi , Chakib Alaoui , Pierluigi Siano","doi":"10.1016/j.compeleceng.2025.110563","DOIUrl":null,"url":null,"abstract":"<div><div>Global energy is in a disruptive shift into the demanded sustainable, efficient, and decentralized energy approach. Microgrids have emerged as key innovations as they can accommodate renewable energy sources, advanced storage solutions, and intelligent controls. This review provides insight into the critical role that Energy Management Systems (EMS) play in optimizing microgrid operation, providing stability, and improving energy use. This includes the added features of infusing new Technologies like Machine Learning (ML) and the Internet of Things (IoTs), which have changed the outlook for Energy Management Systems through predictive analytics, real-time optimization, and greater reliability. Key challenges of microgrid deployment are addressed - renewable energy variability, cybersecurity concerns-in addition to future trends like digital twins and blockchain applications. This thorough analysis will further reinforce that microgrids represent a point crucial in the solutions offered to the demands of the world in energy for resilient and sustainable power systems.</div></div>","PeriodicalId":50630,"journal":{"name":"Computers & Electrical Engineering","volume":"127 ","pages":"Article 110563"},"PeriodicalIF":4.0000,"publicationDate":"2025-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computers & Electrical Engineering","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0045790625005063","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, HARDWARE & ARCHITECTURE","Score":null,"Total":0}

引用次数: 0

Abstract

Global energy is in a disruptive shift into the demanded sustainable, efficient, and decentralized energy approach. Microgrids have emerged as key innovations as they can accommodate renewable energy sources, advanced storage solutions, and intelligent controls. This review provides insight into the critical role that Energy Management Systems (EMS) play in optimizing microgrid operation, providing stability, and improving energy use. This includes the added features of infusing new Technologies like Machine Learning (ML) and the Internet of Things (IoTs), which have changed the outlook for Energy Management Systems through predictive analytics, real-time optimization, and greater reliability. Key challenges of microgrid deployment are addressed - renewable energy variability, cybersecurity concerns-in addition to future trends like digital twins and blockchain applications. This thorough analysis will further reinforce that microgrids represent a point crucial in the solutions offered to the demands of the world in energy for resilient and sustainable power systems.

查看原文本刊更多论文

交流微电网中基于机器学习和物联网的能源管理系统综述

全球能源正在发生颠覆性的转变，朝着可持续、高效和分散的能源方式发展。微电网已经成为关键的创新，因为它们可以容纳可再生能源、先进的存储解决方案和智能控制。本文综述了能源管理系统（EMS）在优化微电网运行、提供稳定性和改善能源利用方面所起的关键作用。这包括注入机器学习（ML）和物联网（iot）等新技术的附加功能，这些新技术通过预测分析、实时优化和更高的可靠性改变了能源管理系统的前景。除了数字孪生和区块链应用等未来趋势外，还解决了微电网部署的主要挑战——可再生能源的可变性、网络安全问题。这一全面的分析将进一步强调，微电网在满足世界对弹性和可持续电力系统的能源需求的解决方案中是至关重要的一点。

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

Computers & Electrical Engineering 工程技术-工程：电子与电气

CiteScore

9.20

自引率

7.00%

发文量

661

审稿时长

47 days

期刊介绍： The impact of computers has nowhere been more revolutionary than in electrical engineering. The design, analysis, and operation of electrical and electronic systems are now dominated by computers, a transformation that has been motivated by the natural ease of interface between computers and electrical systems, and the promise of spectacular improvements in speed and efficiency. Published since 1973, Computers & Electrical Engineering provides rapid publication of topical research into the integration of computer technology and computational techniques with electrical and electronic systems. The journal publishes papers featuring novel implementations of computers and computational techniques in areas like signal and image processing, high-performance computing, parallel processing, and communications. Special attention will be paid to papers describing innovative architectures, algorithms, and software tools.