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Disturbance evaluation in power system based on machine learning
Emad M. Ahmed
, Mohamed A. Ahmed
,
Ziad M. Ali
, Imran Khan
Electrical Engineering
Al Jouf University
University of Engineering and Technology, Peshawar
Research output
:
Contribution to journal
›
Article
›
peer-review
2
Scopus citations
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Computer Science
Radial Basis Function
66%
Noise Performance
33%
Optimal Network
33%
Distributed Generator
33%
Power Optimization
33%
Electric Power Quality
33%
Selection Criterion
33%
Engineering
Intensity Noise
33%
Signal Power
33%
Classification Algorithm
33%
Selection Criterion
33%
Electric Power Quality
33%
Noise Performance
33%
Optimal Network Structure
33%
Chemical Engineering
Learning System
100%