Impact of Inferring Atmospheric Parameters on Solar Irradiance Estimation
By: Jordan Ciucea, Andreea Sabadus and Marius Paulescu
References
- D. Hao, L. Qi, A.M. Tairab, A. Ahmed, A. Azam, D. Luo, Y. Pan, Z. Zhang, J. Yan, Solar energy harvesting technologies for PV self-powered applications: A comprehensive review, Renewable Energy, 188 (2022) 678-697
- C.M. Travieso-Gonzalez, F. Cabrera-Quintero, A. Pinan-Roescher, S. Celada-Bernal, A review and evaluation of the state of art in image based solar energy forecasting: The methodology and technology used, Applied Sciences, 14 (2024) 5605
- D.G. Calinoiu, N. Stefu, M. Paulescu, G. Trif-Tordai, O. Mares, E. Paulescu, R. Boata, N. Pop, A. Pacurar, Evaluation of errors made in solar irradiance estimation due to averaging the Angstrom turbidity coefficient, Atmospheric Research, 150 (2014) 69-78
- M. Paulescu, Z. Schlett, A simplified but accurate spectral solar irradiance model, Theoretical and Applied Climatology, 75 (2003) 203-212
- Solar Platform of the West University of Timisoara, 2025, http://solar.physics.uvt.ro/srms/ (accessed August 2025)
- Aerosol Robotic Network (AERONET), 2025, https://aeronet.gsfc.nasa.gov (accessed August 2025)
- A. Angstrom, Techniques of Determining the Turbidity of the Atmosphere, Tellus, 13 (1961) 214-223.
Language: English
Page range: 109 - 115
Submitted on: Sep 28, 2025
Accepted on: Nov 7, 2025
Published on: Nov 18, 2025
Published by: West University of Timisoara
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year
Related subjects:
© 2025 Jordan Ciucea, Andreea Sabadus, Marius Paulescu, published by West University of Timisoara
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.