Analysis of Power Factor Correction using Least-Squares Estimation
Anwarul Perera
Corresponding
NED University of Engineering and Technology, Karachi
Priya Perera
University of Cambridge
Rajesh Nasser
Bangladesh Institute of Technology, Rajshahi
John Muller
Bangladesh Institute of Technology, Khulna
Abstract
Rapid industrial growth in the developing world has intensified the demand for a better understanding of power factor correction within refrigeration plant. The investigation employs least-squares estimation together with dimensional reasoning to reduce the number of independent variables. The findings confirm that power factor correction accounts for more than 44% of the observed variation. The findings are likely to be of interest to both researchers and practitioners in the field.
Keywords:
power factor correctionleast-squares estimationfatigueimage processing
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