EconPapers    
Economics at your fingertips  
 

Estimation of hourly global solar irradiation on tilted planes from horizontal one using artificial neural networks

Gilles Notton, Christophe Paoli, Siyana Vasileva, Marie Laure Nivet, Jean-Louis Canaletti and Christian Cristofari

Energy, 2012, vol. 39, issue 1, 166-179

Abstract: Calculating global solar irradiation from global horizontal irradiation only is a difficult task, especially when the time step is small and the data are not averaged. We used an Artificial Neural Network (ANN) to realize this conversion. The ANN is optimized and tested on the basis of five years of solar data; the accuracy of the optimal configuration is around 6% for the RRMSE (relative root mean square error) and around 3.5% for the RMAE (relative mean absolute value) i.e. a better performance than the empirical correlations available in the literature.

Keywords: Solar irradiation; Artificial neural network; Estimation (search for similar items in EconPapers)
Date: 2012
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (20)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0360544212000436
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:39:y:2012:i:1:p:166-179

DOI: 10.1016/j.energy.2012.01.038

Access Statistics for this article

Energy is currently edited by Henrik Lund and Mark J. Kaiser

More articles in Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-03-19
Handle: RePEc:eee:energy:v:39:y:2012:i:1:p:166-179