A critical review of the models used to estimate solar radiation

By Jianyuan Zhang, Li Zhao, S. Deng, Weicong Xu, Ying Zhang. 2017

250 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Multi-Factorial Comparison for 24 Distinct Transposition Models for Inclined Surface Solar Irradiance Computation in the State of Palestine: A Case Study (2020, unknown): “These models, as the literature claimed, could predict solar irradiation with sufficient accuracy (Ulgen and Hepbasli, 2004; Noorian et al., 2008; Tuomiranta and Ghedira, 2015; Michael et al., 2016; Moretón et al., 2017; Zhang et al., 2017).”
Deep learning in environmental remote sensing: Achievements and challenges (2020, background): “Radiation parameters are indispensable components for understanding the process of surface-atmosphere energy exchange and optimizing the sustainable energy utilization systems (Wang et al., 2012; Zhang et al., 2017b).”
Estimating surface solar irradiance from satellites: Past, present, and future perspectives (2019, background): “, satellite pixel) and at a range of temporal resolutions (Perez et al., 2013; Zhang et al., 2017), and so is for evapotranspiration modeling based on remote sensing data (Liu et al.”