Edge-Cloud Architectures for Hybrid Energy Management Systems: A Comprehensive Review

被引：5
作者：
Boiko, Olha [1 ,2 ,3 ]
Komin, Anton [1 ]
Malekian, Reza [2 ,3 ]
Davidsson, Paul [2 ,3 ]
机构：
[1] Sumy State Univ, Dept Informat Technol, UA-40007 Sumy, Ukraine
[2] Malmo Univ, Dept Comp Sci & Media Technol, S-20506 Malmo, Sweden
[3] Malmo Univ, Internet Things & People Res Ctr, S-20506 Malmo, Sweden
来源：
IEEE SENSORS JOURNAL | 2024年 / 24卷 / 10期
关键词：
Computer architecture; Cloud computing; Security; Reviews; Renewable energy sources; Edge computing; Smart grids; Distributed computing; distributed energy; domestic energy consumption; edge computing; edge intelligence; hybrid renewable energy systems; Internet of Energy; power systems; renewable energy sources; residential energy consumption; sustainable development; systems architecture; trustworthiness; user data privacy; IOT; CHALLENGES; INTERNET; THINGS; SECURE; FOG; BLOCKCHAIN; EFFICIENT;
D O I：
10.1109/JSEN.2024.3382390
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
This article provides an overview of recent research on edge-cloud architectures in hybrid energy management systems (HEMSs). It delves into the typical structure of an IoT system, consisting of three key layers: the perception layer, the network layer, and the application layer. The edge-cloud architecture adds two more layers: the middleware layer and the business layer. This article also addresses challenges in the proposed architecture, including standardization, scalability, security, privacy, regulatory compliance, and infrastructure maintenance. Privacy concerns can hinder the adoption of HEMS. Therefore, we also provide an overview of these concerns and recent research on edge-cloud solutions for HEMS that addresses them. This article concludes by discussing the future trends of edge-cloud architectures for HEMS. These trends include increased use of artificial intelligence on an edge level to improve the performance and reliability of HEMS and the use of blockchain to improve the security and privacy of edge-cloud computing systems.
引用
收藏
页码：15748 / 15772
页数：25
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