An Intelligent Power Factor Correction Approach Based on Linear Regression and Ridge Regression Methods
Authors:
- 1 December 2011
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- Vol. 2, 313-315
Abstract
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.Keywords
This publication has 8 references indexed in Scilit:
- An intelligent power factor corrector for power system using artificial neural networksElectric Power Systems Research, 2009
- Power factor correction technique based on artificial neural networksEnergy Conversion and Management, 2006
- A Novel Dynamic Reactive Power Compensator Based on PICElectric Power Components and Systems, 2005
- Applied Linear Regression2005
- Experimental study on reactive power compensation using a fuzzy logic controlled synchronous motorEnergy Conversion and Management, 2004
- Reactive power compensation using a fuzzy logic controlled synchronous motorEnergy Conversion and Management, 2003
- Linear Regression Analysis2003
- A Simulation Study of Some Ridge EstimatorsJournal of the American Statistical Association, 1981