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author:

Chen, Yongzhi (Chen, Yongzhi.) [1] | Lin, Yingxing (Lin, Yingxing.) [2] (Scholars:林迎星)

Indexed by:

EI Scopus

Abstract:

The massive use of energy has led to a serious deterioration in environmental quality. This paper takes green energy as the object and applies computer simulation technology to study the relationship between green energy and environmental changes, and then establish a model. Firstly, according to the principle of support vector machine, the green technology innovation strategy selection model of support vector machine is established. Then, the grid search method is used to optimize the penalty parameters and kernel function parameters to achieve better generalization ability. The simulation results show that by using computer simulation technology to study the relationship between green energy and environmental change, we can better choose green strategy, improve energy resource productivity, reduce environmental pollution, help formulate green energy innovation strategy, and improve strategy. The accuracy of the selection is of great significance to the environmental protection and the sustainable development of green energy. © Springer Nature Singapore Pte Ltd. 2020.

Keyword:

Advanced Analytics Big data Computer simulation Deterioration Embedded systems Energy resources Environmental protection Green computing Smart city Support vector machines Sustainable development

Community:

  • [ 1 ] [Chen, Yongzhi]The School of Economics and Management, Fuzhou University, Fuzhou; Fujian, China
  • [ 2 ] [Lin, Yingxing]The School of Economics and Management, Fuzhou University, Fuzhou; Fujian, China

Reprint 's Address:

  • 陈勇智

    [chen, yongzhi]the school of economics and management, fuzhou university, fuzhou; fujian, china

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Source :

ISSN: 2194-5357

Year: 2020

Volume: 1117 AISC

Page: 1895-1902

Language: English

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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