Modeling method of prediction model for salt field ion concentration under solar thermal system using random forest

Modeling method of prediction model for salt field ion concentration under solar thermal system using random forest

At present, the underground brine deposit of Lop Nor salt lake in Xinjiang, while is rich in solar energy resource and can be one high efficient solar thermal utilization area, has become an important potash production base in China. During the development of salt lake brine, the collection methods...

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Bibliographic Details
Main Authors: Liu Jun, Zhang Supei, Xu Zihan, Sun Siqi, Xiao Aowen, Du Zhuang
Format: Article
Language:English
Published: VINCA Institute of Nuclear Sciences 2019-01-01
Series:Thermal Science
Subjects:
ion concentration
random forest
prediction model
data mining
Online Access:http://www.doiserbia.nb.rs/img/doi/0354-9836/2019/0354-98361900151L.pdf

Internet

http://www.doiserbia.nb.rs/img/doi/0354-9836/2019/0354-98361900151L.pdf

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