Applied Control and Artificial Intelligence for Energy Management: An Overview of Trends in EV Charging, Cyber-Physical Security and Predictive Maintenance

Lorenzo Ricciardi Celsi () and Anna Valli
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Lorenzo Ricciardi Celsi: Department of Computer, Control and Management Engineering Antonio Ruberti, Sapienza Università di Roma, Via Ariosto 25, 00185 Roma, Italy
Anna Valli: Facoltà di Ingegneria dell’Informazione, Informatica e Statistica, Sapienza Università di Roma, Piazzale Aldo Moro 5, 00185 Roma, Italy

Energies, 2023, vol. 16, issue 12, 1-23

Abstract: On 28 February–2 March 2023, the 2023 States General of Artificial Intelligence (AI) event was held in Italy under the sponsorship of several multinational companies. The purpose of this event was mainly to create a venue for allowing international protagonists of AI to discuss and confront on the recent trends in AI. The aim of this paper is to report on the state of the art of the literature on the most recent control engineering and artificial intelligence methods for managing and controlling energy networks with improved efficiency and effectiveness. More in detail, to the best of the authors’ knowledge, the scope of the literature review considered in this paper is specifically limited to recent trends in EV charging, cyber-physical security, and predictive maintenance. These application scenarios were identified in the above-mentioned event as responsible for triggering most of the business needs currently expressed by energy companies. A critical discussion of the most relevant methodological approaches and experimental setups is provided, together with an overview of the future research directions.

Keywords: EV charging; load altering attacks; predictive maintenance (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: 2023
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