Predicting Solar Irradiance Using Regression Model (Case Study: ITERA Solar Power Plant)

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Rishal Asri, Koko Friansa, Sefrani Siregar

2021 IOP Conference Series: Earth and Environmental Science Vol. 830 Issue 1 Conference paper Cited by 5 SDG 7 Quartile

Abstract

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. © Published under licence by IOP Publishing Ltd.

Affiliations

Energy System Engineering, Sumatera Institute of Technology, Bandar Lampung, Indonesia; Engineering Physics, Sumatera Institute of Technology, Bandar Lampung, Indonesia

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