DocumentCode
2926602
Title
Research of Prediction and Modeling about Solar Cells Based on Neural Network
Author
Dong Deng ; Lingzhi Yi ; Zhenzhen Zhou ; Haicheng Peng
Author_Institution
Coll. of Inf. Eng., Xiangtan Univ., Xiangtan, China
fYear
2011
fDate
25-28 March 2011
Firstpage
1
Lastpage
4
Abstract
Based on construction of radial basis function network, by studying relationship between materials band gaps and parameters of solar cells, a new solar general simulation model is offered, which can automatically adjust the parameters. The prediction technology is used in photovoltaic power generation system to solve the problem of the lagging battery control, and the stability of photovoltaic power generation system has improved.
Keywords
photovoltaic power systems; power engineering computing; radial basis function networks; solar cells; solar power stations; band gaps; lagging battery control; neural network; photovoltaic power generation system; radial basis function network; solar cells; solar general simulation model; Batteries; Photonic band gap; Photovoltaic cells; Photovoltaic systems; Silicon;
fLanguage
English
Publisher
ieee
Conference_Titel
Power and Energy Engineering Conference (APPEEC), 2011 Asia-Pacific
Conference_Location
Wuhan
ISSN
2157-4839
Print_ISBN
978-1-4244-6253-7
Type
conf
DOI
10.1109/APPEEC.2011.5748367
Filename
5748367
Link To Document