Analysis of parameter selection for solar radiation prediction and global solar radiation prediction model using polynomial regression

Prakash Marimuthu, P. Chinnamuthu and R. Jeyapaul

International Journal of Mathematics in Operational Research, 2020, vol. 16, issue 4, 469-479

Abstract: Solar irradiance is available in abundance and can be harvested to satisfy ever-growing energy demand. Installation of photovoltaic (PV) solar panels at any desired location is not often economically feasible and hence prediction of solar radiation is crucial. Relative humidity and temperature at a specific location Chumukedima, Nagaland (latitude 25.86 N, longitude 93.75 E) in India have been used for the present study along with the solar irradiance outcome. Significant parameter contributing towards the solar radiation outcome is derived with the help of design of experiments (DOE) and analysis of variance (ANOVA). Polynomial regression model is developed to predict the solar irradiation. From the results obtained, it is evident that the humidity contributes more towards the solar irradiation prediction.

Keywords: solar radiation; analysis of variance; ANOVA; design of experiment; DOE; polynomial regression. (search for similar items in EconPapers)
Date: 2020
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