USE R IN REGRESSION ANALYSIS APPLIED TO ROOFTOP SOLAR POWER PROJECT

Abstract

There are many methods and software used for regression analysis, in this paper the author used R. R is not only a statistical language but also a software that can be used for statistical analysis and graphs. Additionaly R can be used for a variety of purposes, from simple calculations, recreational math, matrix calculations to complex statistical analyses.

Using R in analyzing factors affecting power output of a solar power plant with a capacity of 1195kWp by linear regression. It shows the meaning of the parameters in the model, how to evaluate the importance of prognostic variables, and the process of building and testing the predictive model considering both multicollinearity and transformation problems data. In the not-so-distant future, when the electricity market develops, the results of studying the forecasting model or the price of electricity generated by solar projects are extremely important.