Engineering Sciences

Engineering Sciences

TUNCELY YLY YÇYN GÜNE? I?INIMININ YAPAY SYNYR A?LARI YLE TAHMYNY

Yazarlar: Erdem ISIK

Cilt 6 , Sayı 1 , 2011 , Sayfalar 190 - 194

Konular:-

DOI:10.12739/nwsaes.v6i1.5000067022

Anahtar Kelimeler:Solar Energy,Radiation,Artificial Neural Network,Meteorology,Modeling

Özet: The prediction of global radiation which is used to obtain the potential of sun energy prediction is very important. Sun energy is expressed in terms of global radiation. In this paper; relative humidity atmospheric pressure, air temperature, sunshine duration, wind speed and amount of global solar radiation belong to Tunceli City between 2005-2009, which were taken from Turkish State Meteorological Service have been used. In this paper, back-propagation (GY) multi layer artificial neural networks were used to estimate monthly mean sun radiation in future. Performance of artificial neural networks was adjusted by changed number of neurons in hidden layer, learning rate and momentum constant. The model based on the artificial neural network (YSA) achieved solar radiation forecasting with high accuracy.

ATIFLAR
Atıf Yapan Eserler
Henüz Atıf Yapılmamıştır
KAYNAK GÖSTER
BibTex
KOPYALA
@article{2011, title={TUNCELY YLY YÇYN GÜNE? I?INIMININ YAPAY SYNYR A?LARI YLE TAHMYNY}, volume={6}, number={190–194}, publisher={Engineering Sciences}, author={Erdem ISIK}, year={2011} }
APA
KOPYALA
Erdem ISIK. (2011). TUNCELY YLY YÇYN GÜNE? I?INIMININ YAPAY SYNYR A?LARI YLE TAHMYNY (Vol. 6). Vol. 6. Engineering Sciences.
MLA
KOPYALA
Erdem ISIK. TUNCELY YLY YÇYN GÜNE? I?INIMININ YAPAY SYNYR A?LARI YLE TAHMYNY. no. 190–194, Engineering Sciences, 2011.
Atıf Görüntüle
PDF Görüntüle
Kaynak Görüntüle
Paylaş
Dergi Bilgileri