Solar Radiation Prediction Using a Novel Hybrid Model of ARMA and NARX
نویسندگان
چکیده
The prediction of solar radiation has a significant role in several fields such as photovoltaic (PV) power production and micro grid management. interest is increasing nowadays so efficient can greatly improve the performance these different applications. This paper presents novel approach which combines two models, Auto Regressive Moving Average (ARMA) Nonlinear with eXogenous input (NARX). choice been carried out order to take advantages both models produce better results. proposed hybrid model validated using real database corresponding company located Barcelona north. Simulation results have proven effectiveness this predict weekly averages. ARMA suitable for small variations while NARX appropriate large fluctuations.
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ژورنال
عنوان ژورنال: Energies
سال: 2021
ISSN: ['1996-1073']
DOI: https://doi.org/10.3390/en14216920