New approaches for estimating global solar radiation across Sudan

By N. Elagib, M. Mansell. 2000

153 citations recorded by the source corpus.

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

View Paper: https://www.semanticscholar.org/paper/9b6b333852a15947ff85e94b3ae8e3c5a4f029ec

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. Ali Assi
2. G. Tiwari
3. Hassan A. N. Hejase
4. M. J. Ahmad
5. M. Yorukoglu
6. A. Celik

In Renewable Energy, Sustainability and the Environment

1. Ali Assi
2. G. Tiwari
3. Hassan A. N. Hejase
4. M. J. Ahmad
5. M. Yorukoglu
6. A. Celik

Citations in the corpus

• Solar radiation models—A review (2011, methodology): “Elagib and Mansell model (model 32).”
• A critical review on the estimation of daily global solar radiation from sunshine duration (2006, background): “Elagib and Mansel [11] and Elagib et al.”
• Time-Series Regression Model for Prediction of Mean Daily Global Solar Radiation in Al-Ain, UAE (2012, background): “Numerous authors [2–24] developed empirical regressionmodels to predict themonthly average daily GSR in their region using various parameters.”