Predictions of energy profile of four states in USA

  • Bingjun Li Department of Mathematics, Hunan Institute of Humanities, Science and Technology, LOudi City, Hunan 417000, China
  • Yuan Wang Hunan Institute of Humanities, Science and Technology, LOudi City, Hunan 417000, China
  • Yiteng Gao Hunan Institute of Humanities, Science and Technology, LOudi City, Hunan 417000, China
  • Linke Zhu Hunan Institute of Humanities, Science and Technology, LOudi City, Hunan 417000, China
Keywords: entropy weight coefficient method model, regression model, clean and renewable energy.

Abstract

In this paper, we calculate the value of the residual energy in 2001-2009 in four states by establishing Grey Prediction Model.  We use MATLAB software programming to predict the energy profile of each state for 2025 and 2050 in the absence of any policy changes.

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References

https://www.eia.gov/state/seds/sep_use/notes/use_tot.pdf

http://westernenergyboard.org/wieb-board/who-what/

https://en.wikipedia.org/wiki/Geography_of_Arizona

https://en.wikipedia.org/wiki/Geography_of_California

https://en.wikipedia.org/wiki/Climate_of_Texas

https://wrcc.dri.edu/narratives/NEWMEXICO.htm

Yi Desheng Guo Ping: Grey Theory and Method, Petroleum Industry Press, 1992.

Published
2018-04-03
How to Cite
Li, B., Wang, Y., Gao, Y., & Zhu, L. (2018). Predictions of energy profile of four states in USA. Journal of Progressive Research in Mathematics, 13(2), 2269-2272. Retrieved from http://scitecresearch.com/journals/index.php/jprm/article/view/1466
Issue
Vol 13 No 2: JPRM
Section
Articles

Copyright (c) 2018 Journal of Progressive Research in Mathematics

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