Skip to main navigation
Skip to search
Skip to main content
King Fahd University of Petroleum & Minerals Home
Help & FAQ
Link opens in a new tab
Search content at King Fahd University of Petroleum & Minerals
Home
Profiles
Research units
Projects
Research output
Prizes
Student theses
Deep learning methods for power system stability enhancement
Shafiullah, Md
(PI)
Ali, Amjad
(CoI)
Islam, Asif
(CoI)
Hossain, Md Ismail
(CoI)
Interdisciplinary Research Center for Sustainable Energy Systems
Project
:
Research
Overview
Fingerprint
Fingerprint
Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Computer Science
Deep Learning Method
100%
Systems Stability
100%
Learning System
50%
Machine Learning
50%
Synchronous Machine
50%
Time Domain Simulation
50%
Network Failure
50%
Eigenvalue
50%
Digital Transformation
50%
Deep Learning Technique
50%
Engineering
Power system stability
100%
Power Engineering
100%
Deep Learning Method
100%
Stabilizer
50%
Unified Power Flow Controller
16%
Damping Ratio ΞΆ
16%
Learning System
16%
Digital Transformation
16%
Learning Technique
16%
Synchronous Generator
16%
Eigenvalue
16%
Time Domain
16%
Synchronous Machine
16%
Circuit Theory
16%