E3S Web Conf.
Volume 257, 20215th International Workshop on Advances in Energy Science and Environment Engineering (AESEE 2021)
|Number of page(s)||4|
|Section||Energy Chemistry and Energy Storage and Save Technology|
|Published online||12 May 2021|
Grey relational analysis for Energy Storage Service Provider Influencing Factors
Affiliation: Department of Mechanical and Traffic Engineering, Ordos Institute of Technology, China
2 Affiliation: School of Finance and taxation, Inner Mongolia University of Finance and Economics Hohhot, China
3 Affiliation: Department of Management, Ordos Institute of Technology Ordos, China
4 Affiliation: School of Finance and taxation, Inner Mongolia University of Finance and Economics Hohhot, China
5 Affiliation: School of Finance and taxation, Inner Mongolia University of Finance and Economics Hohhot, China
a Email: email@example.com
b Email: firstname.lastname@example.org
c* Email: email@example.com, Correspondence: firstname.lastname@example.org, Tel.: +86-186-8623-7979/0477-8591194
d Email: email@example.com
e Email: firstname.lastname@example.org
China faces the problems of abandoning wind and light and environmental pollution. Energy conservation and emission reduction as a new technology can effectively solve the above problems. In the process of building a Energy Storage Services project, the issue of Influencing Factors is the focus of attention. Aiming at the problem of Influencing Factors in Energy Storage Services systems, a Influencing Factors method based on gray correlation analysis is proposed. Adopting this method, one can avoid the influence of subjective factors on weight assignment through grey correlation analysis. Grey relational analysis can objectively analyze the proportion of each index in supplier’s production consideration
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.