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

被引：6
作者：
Ricciardi Celsi, Lorenzo [1 ]
Valli, Anna [2 ]
机构：
[1] Sapienza Univ Roma, Dept Comp Control & Management Engn Antonio Rubert, Via Ariosto 25, I-00185 Rome, Italy
[2] Sapienza Univ Roma, Fac Ingn Informaz Informat & Stat, Piazzale Aldo Moro 5, I-00185 Rome, Italy
来源：
ENERGIES | 2023年 / 16卷 / 12期
关键词：
EV charging; load altering attacks; predictive maintenance; STORAGE-SYSTEM; NETWORK; ATTACKS; INSPECTION; AMPACITY; DEMAND;
D O I：
10.3390/en16124678
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
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.
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页数：23
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