Regression analysis of solar power generation with meteorological variables
We formulated a Principal Correlation Regression model to estimate Solar Energy generation in Quezon City. The variability of the energy generated by the PV modules is associated with the meteorological variables using the model. The meteorological parameters used are daily Temperature (Average, Minimum, and Maximum), Rainfall, and Relative Humidity from June 1, 2017 to December 31, 2019. Our results suggest that the model can explain 15.33% variation of the Actual Value. Generating an effective model can assist in the efficient and economic use of Solar Photovoltaic technology in the Philippines.