Optimizing Solar Energy Output: Key Insights from Statistical Analysis of a PV System Located in a Humid Subtropical Region

This study uses statistical analysis to explore different factors, like panel efficiency, area exposure, sunlight, and other elements, that are connected to the power output of photovoltaic (PV) systems in humid subtropical areas. The relationship presented primarily links photovoltaic power generation with the daily temperature range and solar insolation. The statistical analysis involves the utilization of multiple linear regression and analysis of variance (ANOVA) techniques using R. The results show that to predict solar power in PV systems accurately, it is shown that solar insolation, daily temperature, and the month of the year are not adequate parameters for accurately determining solar output in a PV system