General formula for estimation of monthly average daily global solar radiation in China
By Zhou Jin, Yezheng Wu, Yan Gang. 2005
217 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Renewable Energy, Sustainability and the Environment
View Paper: https://www.semanticscholar.org/paper/2ec93b827c493da02d3d4c0c7985e4f451e7b889
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In Artificial Intelligence
- G. Tiwari
- M. J. Ahmad
- Ali Assi
- Hassan A. N. Hejase
- W. van der Werf
- A. N. Nzeako
- Michael S. Okundamiya
In Renewable Energy, Sustainability and the Environment
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].”
- Solar radiation models—A review (2011, background): “[58] have suggested, based on the radiation data and the geographical information including latitude and altitude at all 69 stations in China, nine general equations are given as below: 0.”
- 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.”
- Parameterization of a simple model to estimate monthly global solar radiation based on meteorological variables, and evaluation of existing solar radiation models for Tabouk, Saudi Arabia (2009, background): “In addition, several empirical models have been developed using other meteorological, geographical, and astronomical parameters [11–16].”
- Light interception and utilization in relay intercrops of wheat and cotton (2008, methodology): “Field experiments were conducted in 2001/2002, 2002/ 2003 and 2003/2004 at the Cotton Research Institute (CRI), Anyang, Henan province, China, 368070N and 1168220E.”