A data-driven approach to anomaly detection and vulnerability dynamic analysis for large-scale integrated energy systems

Li Zhang (1) , Huai Su (1) , Enrico Zio (2, 3, 4) , Zhien Zhang (5) , Lixun Chi (1) , Lin Fan (1) , Jing Zhou (1) , Jinjun Zhang (1)

1 China University of Petroleum
2 CRC - Centre de recherche sur les Risques et les Crises
3 POLIMI - Politecnico di Milano [Milan]
4 KHU - Kyung Hee University
5 OSU - Ohio State University [Columbus]

Mots clés: Anomaly detection; Integrated energy system; Vulnerability analysis; Complex network theory; Data-driven

Domaines: Gestion des risques et des crises

Li Zhang, Huai Su, Enrico Zio, Zhien Zhang, Lixun Chi, et al.. A data-driven approach to anomaly detection and vulnerability dynamic analysis for large-scale integrated energy systems. Energy Conversion and Management, 2021, 234, pp.113926. ⟨10.1016/j.enconman.2021.113926⟩. ⟨hal-03478971⟩