Estimation of Monthly Sunshine Duration in Turkey Using Artificial Neural Networks
Joint Authors
Kandirmaz, H. M.
Avci, M.
Kaba, K.
Source
International Journal of Photoenergy
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-08-10
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
This paper introduces an artificial neural network (ANN) approach for estimating monthly mean daily values of global sunshine duration (SD) for Turkey.
Three different ANN models, namely, GRNN, MLP, and RBF, were used in the estimation processes.
A climatic variable (cloud cover) and two geographical variables (day length and month) were used as input parameters in order to obtain monthly mean SD as output.
The datasets of 34 stations which spread across Turkey were split into two parts.
First part covering 21 years (1980–2000) was used for training and second part covering last six years (2001–2006) was used for testing.
Statistical indicators have shown that, GRNN and MLP models produced better results than the RBF model and can be used safely for the estimation of monthly mean SD.
American Psychological Association (APA)
Kandirmaz, H. M.& Kaba, K.& Avci, M.. 2014. Estimation of Monthly Sunshine Duration in Turkey Using Artificial Neural Networks. International Journal of Photoenergy،Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-1037280
Modern Language Association (MLA)
Kandirmaz, H. M.…[et al.]. Estimation of Monthly Sunshine Duration in Turkey Using Artificial Neural Networks. International Journal of Photoenergy No. 2014 (2014), pp.1-9.
https://search.emarefa.net/detail/BIM-1037280
American Medical Association (AMA)
Kandirmaz, H. M.& Kaba, K.& Avci, M.. Estimation of Monthly Sunshine Duration in Turkey Using Artificial Neural Networks. International Journal of Photoenergy. 2014. Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-1037280
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1037280