Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Xiaoyong Bo"'
Publikováno v:
Energy Reports, Vol 8, Iss , Pp 10006-10016 (2022)
This study proposes a knowledge-driven recognition methodology for electrical safety hazard scenarios to address the inability of maintenance personnel to accurately identify safety hazards and deal with them effectively due to complicated electrical
Externí odkaz:
https://doaj.org/article/613f5f25f4e445d4876de03a48409f4d
Publikováno v:
Energy Reports, Vol 8, Iss , Pp 11235-11248 (2022)
The power cyber–physical system (CPS) realizes the wide-area interconnection of new energy sources and multiple loads and the dynamic interaction of information and energy flows; however it faces increasingly severe security threats of false data i
Externí odkaz:
https://doaj.org/article/766e509764dc437a8ca7ecef1458c2c9
Autor:
Zhaoyang Qu, Xiaoyong Bo, Tong Yu, Yaowei Liu, Yunchang Dong, Zhongfeng Kan, Lei Wang, Yang Li
Publikováno v:
IET Renewable Power Generation, Vol 16, Iss 7, Pp 1490-1508 (2022)
Abstract Taking account of the fact that the existing knowledge‐driven detection process for false data injection attacks (FDIAs) has been in a passive detection state for a long time and ignores the advantages of data‐driven active capture of fe
Externí odkaz:
https://doaj.org/article/3b2b9c4fafb4470b9dd3c6f569c8f88d
Autor:
Zhaoyang Qu, Yunchang Dong, Sylvère Mugemanyi, Tong Yu, Xiaoyong Bo, Huashun Li, Yang Li, François Xavier Rugema, Christophe Bananeza
Publikováno v:
IET Renewable Power Generation, Vol 16, Iss 7, Pp 1401-1424 (2022)
Abstract Here, a novel Gaussian bare‐bones bat algorithm (GBBBA) and its modified version named as dynamic exploitation Gaussian bare‐bones bat algorithm (DeGBBBA) are proposed for solving optimal reactive power dispatch (ORPD) problem. The optim
Externí odkaz:
https://doaj.org/article/6a77b52db7234e2dbba05930c09e89b5
Publikováno v:
IEEE Access, Vol 9, Pp 19619-19631 (2021)
The essence of the microgrid cyber-physical system (CPS) lies in the cyclical conversion of information flow and energy flow. Most of the existing coupling models are modeled with static networks and interface structures, in which the closed-loop dat
Externí odkaz:
https://doaj.org/article/5bfe43765f31426eac0cb85a164a6955
Publikováno v:
Energies, Vol 15, Iss 19, p 7432 (2022)
The terminal equipment interconnection and the network communication environment are complex in power cyber–physical systems (CPS), and the frequent interaction between the information and energy flows aggravates the risk of false data injection at
Externí odkaz:
https://doaj.org/article/7aaaca6fbe354c6d8e40cd3e103ca3b1
Publikováno v:
Frontiers in Energy Research, Vol 9 (2021)
Existing coordinated cyber-attack detection methods have low detection accuracy and efficiency and poor generalization ability due to difficulties dealing with unbalanced attack data samples, high data dimensionality, and noisy data sets. This paper
Externí odkaz:
https://doaj.org/article/19cc0ac4b0e24f87bd634b16296c7a2d
Autor:
Zhaoyang Qu, Yunchang Dong, Nan Qu, Huashun Li, Mingshi Cui, Xiaoyong Bo, Yun Wu, Sylvère Mugemanyi
Publikováno v:
Frontiers in Energy Research, Vol 9 (2021)
In the process of the detection of a false data injection attack (FDIA) in power systems, there are problems of complex data features and low detection accuracy. From the perspective of the correlation and redundancy of the essential characteristics
Externí odkaz:
https://doaj.org/article/c0bf1ddea76147eeba975abcddfd6035
Autor:
Xiaoyong Bo
Publikováno v:
Lecture Notes on Data Engineering and Communications Technologies ISBN: 9783031288920
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::42f27d3266866965721d57788759028d
https://doi.org/10.1007/978-3-031-28893-7_46
https://doi.org/10.1007/978-3-031-28893-7_46
Autor:
Xin Wang, Xiaoyong Bo
Publikováno v:
Communications in Computer and Information Science ISBN: 9783031243516
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e8c3841c24331c7ebce9ef84ce256d20
https://doi.org/10.1007/978-3-031-24352-3_26
https://doi.org/10.1007/978-3-031-24352-3_26