Digital Design
FMEA 2.0: Machine Learning Applications in Smart Microgrid Risk Assessment
Modern Smart Grids are complex systems incorporating physical components like distributed energy resources and storage, along with cyber components for advanced control, networking, and monitoring.
Audience:
Consultants in Smart Grid Safety and Reliability, Cyber-Physical System Engineers, Energy System Developers, Government Policy Makers in Energy Infrastructure, Reliability Engineers, Risk Management Specialists, Smart Grid Technology Researchers
Consultants in Smart Grid Safety and Reliability, Cyber-Physical System Engineers, Energy System Developers, Government Policy Makers in Energy Infrastructure, Reliability Engineers, Risk Management Specialists, Smart Grid Technology Researchers
Keyword:
Clustering Algorithms, Decision Support Systems, Heuristic Algorithms, Knowledge Based Systems, Machine Learning Algorithms, RHODaS, Smart Grids
Clustering Algorithms, Decision Support Systems, Heuristic Algorithms, Knowledge Based Systems, Machine Learning Algorithms, RHODaS, Smart Grids
Link:
ieeexplore.ieee.org