Prediction Model for Solar PV Rooftop Production

Authors

  • Thanapon Saengsuwan

Keywords:

Solar Rooftop, Electricity Generation Prediction, Randomized Number Model

Abstract

This research aimed to investigate the factors influencing the electricity production from solar PV rooftop systems using a forecasting model that was developed as part of this research. The results showed that the two factors affecting the electricity generation from solar PV rooftop systems are solar irradiance and temperature, as indicated by their correlation coefficient values. Solar irradiance is the most influencing factor. As such, irradiance data were taken to forecast and create the electricity forecasting model to predict the electricity generation through a stochastic model (following the proposed model) that predict solar irradiance. The resulting solar irradiance values were applied in the forecasting model, which is a regression equation, to calculate the daily electricity generation from the solar PV rooftop installation. The results are accurate forecasts of daily solar PV rooftop electricity generation.

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Published

23 December 2020

How to Cite

Saengsuwan, T. (2020). Prediction Model for Solar PV Rooftop Production. Journal of Renewable Energy and Smart Grid Technology, 15(2), 16–25. Retrieved from https://ph01.tci-thaijo.org/index.php/RAST/article/view/242500

Issue

Vol. 15 No. 2 (2020): July-December

Section

Articles

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