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

Barbara Wyrzykowska (), Hubert Szczepaniuk, Edyta Karolina Szczepaniuk, Anna Rytko and Marzena Kacprzak
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Barbara Wyrzykowska: Institute of Management, Warsaw University of Life Sciences—SGGW, Nowoursynowska 166 St., 02-787 Warsaw, Poland
Hubert Szczepaniuk: Institute of Management, Warsaw University of Life Sciences—SGGW, Nowoursynowska 166 St., 02-787 Warsaw, Poland
Edyta Karolina Szczepaniuk: Polish Air Force University, Dywizjonu 303 Street No. 35, 08-521 Dęblin, Poland
Anna Rytko: Institute of Economics and Finance, Warsaw University of Life Sciences—SGGW, Nowoursynowska 166 St., 02-787 Warsaw, Poland
Marzena Kacprzak: Institute of Economics and Finance, Warsaw University of Life Sciences—SGGW, Nowoursynowska 166 St., 02-787 Warsaw, Poland

Energies, 2024, vol. 17, issue 23, 1-22

Abstract: 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.

Keywords: intelligent energy management systems; Industry 5.0; cybersecurity; attack vectors; artificial intelligence algorithms (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2024
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