Validation of Solar Irradiation Data Through Comparative Analysis of Cloud Cover and Seasonal Trends

Estrada Crisanto C.H.; Jain N. · Proceedings of IEEE International Conference on Signal Processing,Computing and Control (2025) · DOI: 10.1109/ispcc66872.2025.11039606

Resumen

Accurate solar irradiation data is crucial for the effective design, operation, and performance assessment of solar energy systems. These data are essential for predicting energy yield, optimizing system configurations, and making informed investment decisions. However, solar irradiation is highly variable, influenced by factors such as cloud cover and seasonal changes. This study presents a validation of solar irradiation data through a comparative analysis that considers the impact of these two key factors: cloud cover and seasonal trends. By examining the accuracy of the data under varying cloud conditions and across different seasons, this research aims to provide insights into the reliability of solar irradiation data for various applications.

Instituciones: Universidad Nacional de Piura