Comparison of some existing models for estimating global solar radiation for Antalya (Turkey)
By C. Ertekin, O. Yaldiz. 2000
160 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Renewable Energy, Sustainability and the Environment
View Paper: https://www.semanticscholar.org/paper/cfd2c8364b577d1901a8f1376432e5b99b3579c8
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
- Chong Wen Tong
- Shahaboddin Shamshirband
- Kasra Mohammadi
- Dalibor Petkovic
- M. Yorukoglu
- A. Celik
- Sudheer Ch
- G. Tiwari
In Renewable Energy, Sustainability and the Environment
- Shahaboddin Shamshirband
- Chong Wen Tong
- Dalibor Petkovic
- M. Yorukoglu
- A. Celik
- Sudheer Ch
- G. Tiwari
- M. J. Ahmad
Citations in the corpus
- Evaluation of global solar radiation models for Konya, Turkey (2006, background): “These parameters include extraterrestrial radiation, sunshine hours, mean temperature, maximum temperature, soil temperature, relative humidity, number of rainy days, altitude, latitude, total precipitable water, albedo, cloudiness and evaporation [8–48].”
- A new hybrid support vector machine–wavelet transform approach for estimation of horizontal global solar radiation (2015, background): “According to [76], different ranges of RRMSE can be defined to show the models’ capability such that a model precision is: Excellent for RRMSE < 10%; Good for 10% < RRMSE < 20%; Fair for 20% < RRMSE < 30%; Poor for RRMSE > 30%.”
- Solar radiation models—A review (2011, background): “Ertekin and Yaldiz model (model 48).”
- A critical review on the estimation of daily global solar radiation from sunshine duration (2006, methodology): “Finally, some researchers used completely different parameters than the commonly used parameters, for example, Ertekin and Yaldiz [13] and Almorox et al.”