Akademik Veri Yönetim Sistemi
Theoretical and Applied Climatology, cilt.156, sa.1, 2025 (SCI-Expanded)
Over the years, accurate prediction of global solar radiation (GSR) is a crucial concern for the design and planning of solar energy systems. Various academic research studies are conducted to precisely predict the GSR, particularly during the development and operational phases of solar energy systems. Especially, the amount of solar energy that may be generated would enhance the effectiveness of solar power generation systems and have a favourable impact on investments in solar energy systems. The pattern search algorithm (PSA) is utilised throughout multiple fields in numerous applied and engineering disciplines. Upon examining the literature, it is evident that researchers employ a broad variety of techniques and algorithms as models for predicting the GSR. However, the GSR prediction model was initially constructed using the PSA, and its performance was thoroughly evaluated through multiple statistical tests. This paper examines the performance of the pattern search method in constructing a GSR prediction model. The implementation of the PSA approach, which is rarely the primary preference in GSR prediction models, introduces originality to the study and illuminates a unique path in the literature. The acquired test outcomes were contrasted with many GSR prediction models commonly employed in the literature. The results clearly demonstrated that this technique is applicable as a GSR prediction model.