Open AccessPredicting Solar Irradiance Using Regression Model (Case Study: ITERA Solar Power Plant)
Author(s) -
Rishal Asri,
Koko Friansa,
Sefrani Siregar
Publication year - 2021
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/830/1/012080
Subject(s) - solar irradiance , irradiance , simple linear regression , environmental science , solar energy , linear regression , meteorology , regression analysis , mathematics , statistics , geography , engineering , physics , optics , electrical engineering
Simple regression model can be used to predict the solar irradiance which cover a certain area in certain interval of time. With combining some variables like relative humidity, temperature and wind speed, a model which describe local solar irradiance can be developed. This paper elaborates the details of recently developed simple regression model, built with python based open-source cloud computing platform. This model dedicated to predict solar irradiance in certain relatively small area. For current study, it was in ITERA Solar Power Plant, Southern Lampung, Indonesia. Generally, this model can be applied in any places with vary conditions as long as all the required parameters are met, even though can only predict the local solar irradiance in a relative small spot. According to the computational issue, a simple linear regression model can be used to estimate the solar radiation in Lampung Selatan, Indonesia. The correlation between solar radiation and the average air temperature can be approached linearly. The coefficient value may be vary, but our computational progress resulting at 0.72768 for without outliers.