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
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;
Conference_Titel :
Power and Energy Engineering Conference (APPEEC), 2011 Asia-Pacific
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-6253-7
DOI :
10.1109/APPEEC.2011.5748367
