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Edge-Cloud Architectures for Hybrid Energy Management Systems: A Comprehensive Review
Malmö University, Faculty of Technology and Society (TS), Department of Computer Science and Media Technology (DVMT). Malmö University, Internet of Things and People (IOTAP). Sumy State Univ, Dept Informat Technol, UA-40007 Sumy, Ukraine.ORCID iD: 0000-0001-8557-2267
Sumy State Univ, Dept Informat Technol, UA-40007 Sumy, Ukraine.
Malmö University, Faculty of Technology and Society (TS), Department of Computer Science and Media Technology (DVMT). Malmö University, Internet of Things and People (IOTAP).ORCID iD: 0000-0002-2763-8085
Malmö University, Faculty of Technology and Society (TS), Department of Computer Science and Media Technology (DVMT). Malmö University, Internet of Things and People (IOTAP).ORCID iD: 0000-0003-0998-6585
2024 (English)In: IEEE Sensors Journal, ISSN 1530-437X, E-ISSN 1558-1748, Vol. 24, no 10, p. 15748-15772Article in journal (Refereed) Published
Abstract [en]

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.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2024. Vol. 24, no 10, p. 15748-15772
Keywords [en]
Computer architecture, Cloud computing, Security, Reviews, Renewable energy sources, Edge computing, Smart grids, Distributed computing, distributed energy, domestic energy consumption, edge intelligence, hybrid renewable energy systems, Internet of Energy, power systems, residential energy consumption, sustainable development, systems architecture, trustworthiness, user data privacy
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:mau:diva-70026DOI: 10.1109/JSEN.2024.3382390ISI: 001267422700046Scopus ID: 2-s2.0-85189814833OAI: oai:DiVA.org:mau-70026DiVA, id: diva2:1886350
Available from: 2024-07-31 Created: 2024-07-31 Last updated: 2024-09-17Bibliographically approved

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Boiko, OlhaMalekian, RezaDavidsson, Paul

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