Solar radiation prediction for a winter day using ARMA model

Solar radiation prediction has a great importance for many applications such as PV power forecasting and solar water heaters. The need of solar radiation prediction increase over time and certainly the accurate prediction can greatly improve the performance of these applications. In this paper a pre...

Full description

Saved in:
Bibliographic Details
Published in2020 6th IEEE International Energy Conference (ENERGYCon) pp. 326 - 330
Main Authors SANSA, Ines, BOUSSAADA, Zina, MAZIGH, Mourad, BELLAAJ, Najiba MRABET
Format Conference Proceeding
LanguageEnglish
Published IEEE 28.09.2020
Subjects
ARMA
Forecasting
Prediction
Predictive models
Simulation
Solar heating
Solar radiation
Water heating
Online AccessGet full text

Cover

More Information
Summary:Solar radiation prediction has a great importance for many applications such as PV power forecasting and solar water heaters. The need of solar radiation prediction increase over time and certainly the accurate prediction can greatly improve the performance of these applications. In this paper a prediction of solar radiation for a winter day using ARMA model is performed. The performance of this model to predict the solar radiation has been validated for a real database. Simulations results show that the effectiveness of ARMA model is proven to predict especially the small variation of solar radiation.
DOI:10.1109/ENERGYCon48941.2020.9236541