TY  - JOUR
AU  - Perera, Anwarul
AU  - Perera, Priya
AU  - Nasser, Rajesh
AU  - Muller, John
TI  - Analysis of Power Factor Correction using Least-Squares Estimation
JO  - Open Access Journal of Engineering Applications
PY  - 1996
VL  - 20
IS  - 1
SP  - 174
EP  - 186
AB  - 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.
KW  - power factor correction
KW  - least-squares estimation
KW  - fatigue
KW  - image processing
SN  - 3105-7004
DO  - 10.55555/oajea.1996.2001.010
UR  - https://journal.bsaps.com/article/7277
ER  -