Models for obtaining daily global solar radiation with measured air temperature data in Madrid (Spain)
By J. Almorox, C. Hontoria, M. Benito. 2011
169 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Renewable Energy, Sustainability and the Environment
View Paper: https://www.semanticscholar.org/paper/0b159b0d9ed370e0044ced24b699810236f60f37
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In Artificial Intelligence
In Renewable Energy, Sustainability and the Environment
Citations in the corpus
- Reference grass evapotranspiration with reduced data sets: Parameterization of the FAO Penman-Monteith temperature approach and the Hargeaves-Samani equation using local climatic variables (2020, background): “Almorox et al. (2015) considered several temperature-based approaches for various climates and reported that the HS-ETo equation provided the most accurate global performance.”
- Estimating daily global solar radiation by day of the year in six cities located in the Yucatán Peninsula, Mexico (2017, methodology): “In the absence of reliable solar radiation data, it is necessary to develop methods to estimate solar radiation by using more readily available data (Almorox et al., 2011).”
- A comparison between the application of empirical and ANN methods for estimation of daily global solar radiation in Iran (2018, methodology): “Similar to empirical models, ANNbased models also take various variables into account as inputs for estimation of Rs (Almorox 2011; Kirmani et al. 2015; Alsina et al. 2016; Mellit and Kalogirou 2008; Quej et al. 2017), but require more computational skills and equipment, compared to the empirical…”