Proceedings of the 3rd International Conference on Material, Mechanical and Manufacturing Engineering

A correlation analysis algorithm about index in Power grid planning

Authors
Yangjun Liu, Qingxin Wang, Jiaman Ding
Corresponding Author
Yangjun Liu
Available Online August 2015.
DOI
10.2991/ic3me-15.2015.363How to use a DOI?
Keywords
Lucas correlation model; power grid planning; probability boxes; fusion;
Abstract

Currently,decision scheme often ignores the correlations among the indexes,which will not only make calculation more complicated , but also affect the accuracy of decision-making, even cause huge economic losses. It is unreasonable that it assumed independent irrelevance in information fusion of the indexes in traditional power grid planning.Therefore, the paper bring out the correlation classification schemes and forms,by the way ,put forward the fusion method and Lucas correlation model based on probability theory.The result shows that the method is more timeliness and accurate to solve the problem of correlation and fusion.

Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 3rd International Conference on Material, Mechanical and Manufacturing Engineering
Series
Advances in Engineering Research
Publication Date
August 2015
ISBN
10.2991/ic3me-15.2015.363
ISSN
2352-5401
DOI
10.2991/ic3me-15.2015.363How to use a DOI?
Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Yangjun Liu
AU  - Qingxin Wang
AU  - Jiaman Ding
PY  - 2015/08
DA  - 2015/08
TI  - A correlation analysis algorithm about index in Power grid planning
BT  - Proceedings of the 3rd International Conference on Material, Mechanical and Manufacturing Engineering
PB  - Atlantis Press
SP  - 1884
EP  - 1887
SN  - 2352-5401
UR  - https://doi.org/10.2991/ic3me-15.2015.363
DO  - 10.2991/ic3me-15.2015.363
ID  - Liu2015/08
ER  -