Evaluation of 12 models to estimate hourly diffuse irradiation on inclined surfaces

By A. Noorian, Isaac Moradi, G. Kamali. 2008

312 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Renewable Energy, Sustainability and the Environment

View Paper: https://www.semanticscholar.org/paper/8b8f71fbd529d0e035deca852c32c93f2fcd0807

How researchers see this paper

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

In Artificial Intelligence

1. Ahmed A. A. Hafez
2. Samer Alsadi
3. Y. F. Nassar

In Renewable Energy, Sustainability and the Environment

1. Ahmed A. A. Hafez
2. Samer Alsadi
3. Y. F. Nassar

Citations in the corpus

• Multi-Factorial Comparison for 24 Distinct Transposition Models for Inclined Surface Solar Irradiance Computation in the State of Palestine: A Case Study (2020, background): “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).”
• Forecasting of preprocessed daily solar radiation time series using neural networks (2010, unknown): “In hourly case, the Climed-2–Klutcher methodology is very convincing, (Noorian et al., 2008; Notton et al., 2006a, 2006b) but in daily case (integration of hourly data), the results are similar with the methodology proposed in this article.”