ARTIFICIAL NEURAL NETWORKS FOR PREDICTING GLOBAL SOLAR RADIATION IN AL AIN CITY

ARTIFICIAL NEURAL NETWORKS FOR PREDICTING GLOBAL SOLAR RADIATION IN AL AIN CITY - UAE

Published:2013-05-28 Issue:5 Volume:10 Page:443-456
ISSN:1543-5075
Container-title:International Journal of Green Energy
language:en
Short-container-title:International Journal of Green Energy

Author:

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

Publisher

Informa UK Limited

Subject

Renewable Energy, Sustainability and the Environment

Link

http://www.tandfonline.com/doi/pdf/10.1080/15435075.2011.641187

Reference26 articles.

1. An ANN-based approach for predicting global radiation in locations with no direct measurement instrumentation

2. Computation of beam solar radiation at normal incidence using artificial neural network

3. Assessment of diffuse solar energy under general sky condition using artificial neural network

4. Assi, A. and Jama, M. May 03–06 2010.Estimating global solar radiation on horizontal from sunshine hours in Abu Dhabi –UAE. Advances in energy planning, environmental education and renewable energy sources, May 03–06, 101–108. Sousse, Tunisia: 4th WSEAS International Conference on Renewable Energy Sources 2.

5. The potential of different artificial neural network (ANN) techniques in daily global solar radiation modeling based on meteorological data

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