Modeling of global horizontal irradiance in the United Arab Emirates with artificial neural networks

Hassan A.N. Hejase, Maitha H. Al-Shamisi and Ali H. Assi

Energy, 2014, vol. 77, issue C, 542-552

Abstract: This paper employs ANN (Artificial Neural Network) models to estimate GHI (global horizontal irradiance) for three major cities in the UAE (United Arab Emirates), namely Abu Dhabi, Dubai and Al-Ain. City data are then used to develop a comprehensive global GHI model for other nearby locations in the UAE. The ANN models use MLP (Multi-Layer Perceptron) and RBF (Radial Basis Function) techniques with comprehensive training algorithms, architectures, and different combinations of inputs. The UAE models are tested and validated against individual city models and data available from the UAE Solar Atlas with good agreement as attested by the computed statistical error parameters.

Keywords: Global horizontal irradiance; Artificial neural network; Multilayer perceptron; Radial basis function; Estimation; United Arab Emirates (search for similar items in EconPapers)
Date: 2014
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:77:y:2014:i:c:p:542-552

DOI: 10.1016/j.energy.2014.09.064

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