Investigation effects of environmental and operating factors onPVpanel efficiency using by multivariate linear regression

The aim of this study is to show the investigation effects of environmental and operating factors on photovoltaic (PV) panel efficiency using by multivariate linear regression. Also in this study, the relationship between PV panel efficiency and some environmental and operating factors (solar radiation, open-circuit voltage, short circuit current (I-sc), power, fill factor, outside temperature, humidity, wind speed, and voltage) were investigated using multivariate linear regression. The effect of binary parameter interactions on panel performance was investigated using the backward elimination (or deletion) method. The data used in the analysis were obtained from monocrystal and polycrystal panels in December in the winter season. In all analyzes, the regression values are close to 1, which indicates that the compatibility between binary parameters and performance characteristics is perfect. In addition, the three most effective parameters on panel efficiency were found to be solar radiation, maximum power (P-max), and I-sc, respectively.

Automated summary

This study employed multivariate linear regression to investigate the effects of environmental and operating factors on photovoltaic panel efficiency, with solar radiation, maximum power, and short circuit current identified as the three most influential parameters on panel efficiency.