Global solar radiation over Turkey: comparison of predicted and measured data

By I. T. Toğrul, Hasan Toǧrul. 2002

107 citations recorded by the source corpus.

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

View Paper: https://www.semanticscholar.org/paper/e433b2406885414a515b474ba9598c1c429a3ff5

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. Hassan A. N. Hejase
3. A. N. Nzeako
4. Michael S. Okundamiya

In Renewable Energy, Sustainability and the Environment

1. Ali Assi
2. Hassan A. N. Hejase
3. A. N. Nzeako
4. Michael S. Okundamiya

Citations in the corpus

• Evaluation of global solar radiation models for Konya, Turkey (2006, background): “However, a few large errors in the sum can produce a significant increase in the RMSE [9,28,34,101].”
• 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.”
• Solar radiation models—A review (2011, unknown): “Model 47: Togrul and Togrul [50] suggested the following equations which they obtained from the relation between S/So and H/Ho by trying different regression types for Ankara, Antalya, Izmir, Yenihisar (Aydın), Yumurtalık (Adana) and Elazıg in Turkey: 0.”