True RMS-Weighted KNN Based Underlying Cause Recognition of Power Quality Disturbance
Author:
Affiliation:
1. DEI, Dayalbagh,EE Department,Uttar Pradesh,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10370004/10370033/10370435.pdf?arnumber=10370435
Reference18 articles.
1. Emerging Power Quality Challenges Due to Integration of Renewable Energy Sources
2. A comprehensive overview on signal processing and artificial intelligence techniques applications in classification of power quality disturbances
3. Techniques and methodologies for power quality analysis and disturbances classification in power systems: a review
4. Using True RMS Current Measurements to Estimate Harmonic Impacts of Multiple Nonlinear Loads in Electric Distribution Grids
5. Development of a Nonintrusive True-RMS AC Voltage Measurement Probe
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