Cyber-physical attack and the future energy systems: A review

Diaba, Sayawu Yakubu; Shafie-khah, Miadrezah; Elmusrati, Mohammed

doi:10.1016/j.egyr.2024.08.060

Energy Reports

2024

DOI: 10.1016/j.egyr.2024.08.060

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Cyber-physical attack and the future energy systems: A review

Sayawu Yakubu Diaba,

Miadrezah Shafie-khah,

Mohammed Elmusrati

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Cited by 3 publications

References 104 publications

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An extensive critique on machine learning techniques for fault tolerance and power quality improvement in multilevel inverters

Sakthivel,

Alexander

2024

Energy Reports

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An extensive critique on machine learning techniques for fault tolerance and power quality improvement in multilevel inverters

Sakthivel,

Alexander

2024

Energy Reports

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Data-centric explainable artificial intelligence techniques for cyber-attack detection in microgrid networks

Trivedi,

Patra,

Khadem

2025

Energy Reports

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Intelligent Energy Management Systems in Industry 5.0: Cybersecurity Applications in Examples

Wyrzykowska,

Szczepaniuk,

Szczepaniuk

et al. 2024

Energies

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The article examines modern approaches to energy management in the context of the development of Industry 5.0 with a particular focus on cybersecurity. Key tenets of Industry 5.0 are discussed, including the integration of advanced technologies with intelligent energy management systems (IEMSs) and the growing need to protect data in the face of increasing cyber threats. The challenges faced by small and medium-sized enterprises (SMEs) using solutions based on renewable energy sources, such as photovoltaic farms, are also analyzed. The article presents examples of IEMS applications and discusses methods for securing these systems, offering an overview of cyber threat protection tools in the context of modern energy management. The analysis carried out provided information that will help businesses make rational decisions and contribute to shaping the state’s macroeconomic policy on cybersecurity and energy savings. The results of this research can also help develop more effective strategies for managing technology and IT infrastructure, which is crucial in the digital age of Industry 5.0.

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Cyber-physical attack and the future energy systems: A review

Cited by 3 publications

References 104 publications

An extensive critique on machine learning techniques for fault tolerance and power quality improvement in multilevel inverters

An extensive critique on machine learning techniques for fault tolerance and power quality improvement in multilevel inverters

Data-centric explainable artificial intelligence techniques for cyber-attack detection in microgrid networks

Intelligent Energy Management Systems in Industry 5.0: Cybersecurity Applications in Examples

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