2nd Annual International Conference on Energy, Environmental & Sustainable Ecosystem Development (EESED 2016)

Research on Big data Preprocessing Technology of Thermal System

Authors
Yi-Fan Zhao, Zhong-Guang Fu, Fei Chen
Corresponding Author
Yi-Fan Zhao
Available Online August 2016.
DOI
https://doi.org/10.2991/eesed-16.2017.41How to use a DOI?
Keywords
Big data of thermal system; Pretreatment; Pearson correlation coefficient; VIF; Condition number
Abstract

There is a big amount of overlap among the data of thermal system, which will seriously affect the accuracy and precision of the model. In order to improve the value density of big data of thermal system and improve the quality and efficiency of modeling, pretreatment and analysis have to be made. Aimed at the diagnosis and treatment of the multiple co-linearity among variables, three reduction models have been established, respectively by Pearson correlation coefficient diagnostic method, VIF auxiliary regression test and condition number diagnosis method. And the models have been validated by the data of a 600MW unit of a power plant. Through the analysis of the results, it is found that the condition number diagnosis method can effectively solve the problem of multiple co-linearity of big data of thermal system, realizing the pretreatment of big data of thermal system.

Copyright
© 2017, 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
2nd Annual International Conference on Energy, Environmental & Sustainable Ecosystem Development (EESED 2016)
Series
Advances in Engineering Research
Publication Date
August 2016
ISBN
978-94-6252-309-8
ISSN
2352-5401
DOI
https://doi.org/10.2991/eesed-16.2017.41How to use a DOI?
Copyright
© 2017, 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  - Yi-Fan Zhao
AU  - Zhong-Guang Fu
AU  - Fei Chen
PY  - 2016/08
DA  - 2016/08
TI  - Research on Big data Preprocessing Technology of Thermal System
BT  - 2nd Annual International Conference on Energy, Environmental & Sustainable Ecosystem Development (EESED 2016)
PB  - Atlantis Press
SP  - 303
EP  - 311
SN  - 2352-5401
UR  - https://doi.org/10.2991/eesed-16.2017.41
DO  - https://doi.org/10.2991/eesed-16.2017.41
ID  - Zhao2016/08
ER  -