Nathan Kea
Professor Hallerman
ENGL 110C
15 Nov 2021
Annotated Bibliology # 3
Zhao, Ying. “Deep Analytics for Management and Cybersecurity of the National Energy Grid.” Computational Science – ICCS 2020, Springer International Publishing, Cham, 2020, pp. 302–315. Lecture Notes in Computer Science.
In “Deep Analytics for Management and Cybersecurity of the National Energy Grid ”Ying Zhao reveals energy grids have numerous cyber attacks resulting in unpreceded damage to national security. The smart devices including electric automobiles, smart homes make integration but as software and hardware. The Us energy grid incorporates digital technology to improve reliability, securtyyt and efficiency of the electric system through bi-directional information exchange. That storage resources for a full automated power delivery network. The integrated grids are efficient through common communication standards. There are better ways to manage the energy grid and good tools that can also be used for good management for our energy resources and reducing greenhouse gasses. There also is a threat to the energy grid in the US. Threats to the grids are vulnerable to physical faults as well and attacks and cyber attacks. The energy assets are naturally susceptible to cyber attacks. Also a distribution automation is an conpet of a smart grid that forces on the operation and system reliability at the distribution level. Zhao revalese a BPD that stands for the big data platform that was developed by the defense information systems agency. It cumeses tools for data ingestion, management, security, explanation, and analysis.