Skip to Main Content Area
  • CPS-VO
    • Contact Support
  • Browse
    • Calendar
    • Announcements
    • Repositories
    • Groups
  • Search
    • Search for Content
    • Search for a Group
    • Search for People
    • Search for a Project
    • Tagcloud
      
 
Not a member?
Click here to register!
Forgot username or password?
 
Home
National Science Foundation

Cyber-Physical Systems Virtual Organization

Read-only archive of site from September 29, 2023.

CPS-VO

AI based anomaly detection functionalities

biblio

Visible to the public Cyber-physical data stream assessment incorporating Digital Twins in future power systems

Submitted by grigby1 on Mon, 03/29/2021 - 1:28pm
  • SCADA systems
  • power grids
  • power system control
  • power system reliability
  • power system security
  • power systems
  • pubcrawl
  • reliable grid operations
  • resilience
  • Resiliency
  • SCADA information
  • power engineering computing
  • Scalability
  • secure grid operations
  • security
  • security of data
  • Sparse matrices
  • steady system states
  • Steady-state
  • Systems architecture
  • transient system states
  • expert systems
  • Anomaly Detection
  • Artificial Intelligence
  • control functions
  • critical physical events
  • cyber-attacks
  • cyber-physical situational awareness
  • cyber-physical systems
  • data stream analysis
  • digital twins
  • expert knowledge
  • AI based anomaly detection functionalities
  • high-resolution PMU data
  • holistic data stream assessment methodology
  • Human behavior
  • IT-OT convergence
  • measurement uncertainty
  • Monitoring
  • phasor measurement
  • Phasor measurement units
  • Pollution measurement

Terms of Use  |  ©2023. CPS-VO