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Sustainability
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Smart Grid Energy Management: Advancing Sustainability and Cybersecurity
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Smart Grid Energy Management: Advancing Sustainability and Cybersecurity

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Energy Sustainability".

Deadline for manuscript submissions: 31 January 2026 | Viewed by 1653

Special Issue Editors

Dr. Oussama Laayati

E-Mail Website
Guest Editor
Green Tech Institute, University Mohamed VI Polytechnic, Benguerir 43150, Morocco
Interests: smart grids and energy management systems; blockchain for energy markets; cybersecurity in smart grids; game theory and optimization; digital twins and Industry 4.0; power hardware-in-the-loop (PHIL) simulation; artificial intelligence in energy systems
Prof. Dr. Ahmed Chebak

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Guest Editor
Green Tech Institute, University Mohamed VI Polytechnic, Benguerir 43150, Morocco
Interests: renewable energy; electrical machines; power electronics; energy management; smart grid; induction heating
Dr. Ahsen Maqsoom

E-Mail Website
Guest Editor
Green Tech Institute, University Mohamed VI Polytechnic, Benguerir 43150, Morocco
Interests: project management; construction management; civil engineering; machine learning; complex projects
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

This Special Issue, "Smart Grid Energy Management: Advancing Sustainability and Cybersecurity," seeks to explore cutting-edge strategies for enhancing the sustainability and security of smart grids.

As renewable energy, digital technologies, and decentralized energy markets become more intertwined, smart energy management systems (EMSs) become indispensable for maximizing resource efficiency while preserving grid security and stability.

Advanced subjects include blockchain for decentralized energy transactions, smart grid cybersecurity, and forecasting powered by artificial intelligence, and energy system optimization strategies will also be covered. By demonstrating how cutting-edge technology may address socioeconomic and environmental issues connected to sustainable energy consumption, the goal is to close gaps in the literature.

We invite submissions that present novel frameworks, models, and case studies that push the boundaries of current research, contributing to more sustainable and secure energy infrastructures.

https://www.mdpi.com/journal/sustainability/about

Dr. Oussama Laayati
Prof. Dr. Ahmed Chebak
Dr. Ahsen Maqsoom
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sustainability is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • smart grid
  • energy management systems (EMSs)
  • blockchain
  • cybersecurity
  • renewable energy
  • peer-to-peer energy trading
  • artificial intelligence (AI)
  • grid resilience
  • energy optimization
  • microgrids

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Published Papers (1 paper)

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Research

31 pages, 1332 KiB  
Article
Cybersecurity Threat Modeling for IoT-Integrated Smart Solar Energy Systems: Strengthening Resilience for Global Energy Sustainability
by Alexandre Rekeraho, Daniel Tudor Cotfas, Titus C. Balan, Petru Adrian Cotfas, Rebecca Acheampong and Emmanuel Tuyishime
Sustainability 2025, 17(6), 2386; https://doi.org/10.3390/su17062386 - 9 Mar 2025
Viewed by 1278
Abstract
The integration of Internet of Things (IoT) technologies into solar energy systems has transformed them into smart solar energy systems, enabling advanced real-time monitoring, control, and optimization. However, this connectivity also expands the attack surface, exposing critical components to cybersecurity threats that could [...] Read more.
The integration of Internet of Things (IoT) technologies into solar energy systems has transformed them into smart solar energy systems, enabling advanced real-time monitoring, control, and optimization. However, this connectivity also expands the attack surface, exposing critical components to cybersecurity threats that could compromise system reliability and long-term sustainability. This study presents a comprehensive cybersecurity threat modeling analysis for IoT-based smart solar energy systems using the STRIDE threat model to systematically identify, categorize, and assess potential security risks. These risks, if unmitigated, could disrupt operations and hinder large-scale adoption of solar energy. The methodology begins with a system use case outlining the architecture and key components, including sensors, PV modules, IoT nodes, gateways, cloud infrastructure, and remote-access interfaces. A Data Flow Diagram (DFD) was developed to visualize the data flow and identify the critical trust boundaries. The STRIDE model was applied to classify threats, such as spoofing, tampering, repudiation, information disclosure, denial of service, and elevation of privilege across components and their interactions. The DREAD risk assessment model was then used to prioritize threats based on the Damage Potential, Reproducibility, Exploitability, Affected Users, and Disability. The results indicate that most threats fall into the high-risk category, with scores ranging from 2.6 to 2.8, emphasizing the need for targeted mitigation. This study proposes security recommendations to address the identified threats and enhance the resilience of IoT-enabled solar energy systems. By securing these infrastructures, this research supports the transition to sustainable energy by ensuring system integrity and protection against cyber threats. The combined use of STRIDE and DREAD provides a robust framework for identifying, categorizing, and prioritizing risks, enabling effective resource allocation and targeted security measures. These findings offer critical insights into safeguarding renewable energy systems against evolving cyber threats, contributing to global energy sustainability goals in an increasingly interconnected world. Full article
(This article belongs to the Special Issue Smart Grid Energy Management: Advancing Sustainability and Cybersecurity)
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