An Intelligent Power Factor Correction Approach Based on Linear Regression and Ridge Regression Methods

This study introduces an intelligent power factor correction approach based on Linear Regression (LR) and Ridge Regression (RR) methods. The 10-fold Cross Validation (CV) test protocol has been used to evaluate the performance. The best test performance has been obtained from the LR in comparison wi...

Full description

Saved in:
Bibliographic Details
Main Authors: Bayindir, R., Gok, M., Kabalci, E., Kaplan, O.
Format: Conference Proceeding
Language:English
Subjects:
Capacitors
Fuzzy logic
Intelligent Power Factor Correction
Linear regression
Linear Regression Method
Mathematical model
Power factor correction
Reactive power
Ridge Regression Method
Synchronous motors
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:This study introduces an intelligent power factor correction approach based on Linear Regression (LR) and Ridge Regression (RR) methods. The 10-fold Cross Validation (CV) test protocol has been used to evaluate the performance. The best test performance has been obtained from the LR in comparison with RR. The empirical results have evaluated that the selected intelligent compensators developed in this work might overcome the problems met in the literature providing accurate, simple and low-cost solution for compensation.
DOI:10.1109/ICMLA.2011.34