<abstract xmlns="http://www.w3.org/1999/xhtml"><p>Forecasting the solar energy production is a key issue in the large-scale integration of the photovoltaic plants into the existing electricity grid. This paper reports on the research progress in forecasting the solar energy production at the West University of Timisoara, Romania. Firstly, the experimental facilities commissioned on the Solar Platform for testing the forecasting models are briefly described. Secondly, a new tool for the online forecasting of the solar energy production is introduced. Preliminary tests show that the implemented procedure is a successful trade-off between simplicity and accuracy.</p></abstract>

Forecasting the solar energy production is a key issue in the large-scale integration of the photovoltaic plants into the existing electricity grid. This paper reports on the research progress in forecasting the solar energy production at the West University of Timisoara, Romania. Firstly, the experimental facilities commissioned on the Solar Platform for testing the forecasting models are briefly described. Secondly, a new tool for the online forecasting of the solar energy production is introduced. Preliminary tests show that the implemented procedure is a successful trade-off between simplicity and accuracy.

Online Forecasting of the Solar Energy Production

Electronics and Telecommunications Faculty

Annals of West University of Timisoara - Physics

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

{"article-title":"Online Forecasting of the Solar Energy Production"}

Forecasting the solar energy production is a key issue in the large-scale integration of the photovoltaic plants into the existing electricity grid. This paper...

Online Forecasting of the Solar Energy Production

Publié en ligne: 29 août 2018

Pages: 104 - 110

Reçu: 21 août 2018

Accepté: 22 août 2018

DOI: https://doi.org/10.2478/awutp-2018-0011

Mots clés
solar irradiance, PV power, forecasting

© 2018 Marius Paulescu et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Online Forecasting of the Solar Energy Production

Publié en ligne: 29 août 2018

Pages: 104 - 110

Reçu: 21 août 2018

Accepté: 22 août 2018

DOI: https://doi.org/10.2478/awutp-2018-0011

Mots cléssolar irradiance, PV power, forecasting

© 2018 Marius Paulescu et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Mots clés
solar irradiance, PV power, forecasting