Proceedings of the 3rd International Conference on Material Engineering and Application (ICMEA 2016)

Predicting Total Energy Consumption with Least Square Method of Legendre Polynomial

Authors
Lai-Bin GAO, Bo WANG, Chang-Si PENG
Corresponding Author
Lai-Bin GAO
Available Online December 2016.
DOI
10.2991/icmea-16.2016.62How to use a DOI?
Keywords
The Least Square Method, Normal Equation, Legendre Polynomial.
Abstract

Based on statistical data of National Statistical Bureau of China, and given the least-squares fitting of Legendre polynomial, the data of total energy consumption from 1978 to 2014 is analyzed by least squares method and Legendre polynomial least squares method respectively. The results showed that Legendre polynomial least squares fitting method is excellent and the data of total energy consumption from 2015 to 2016 is predicted by this method.

Copyright
© 2016, 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 Engineering and Application (ICMEA 2016)
Series
Advances in Engineering Research
Publication Date
December 2016
ISBN
978-94-6252-272-5
ISSN
2352-5401
DOI
10.2991/icmea-16.2016.62How to use a DOI?
Copyright
© 2016, 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  - Lai-Bin GAO
AU  - Bo WANG
AU  - Chang-Si PENG
PY  - 2016/12
DA  - 2016/12
TI  - Predicting Total Energy Consumption with Least Square Method of Legendre Polynomial
BT  - Proceedings of the 3rd International Conference on Material Engineering and Application (ICMEA 2016)
PB  - Atlantis Press
SP  - 376
EP  - 379
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmea-16.2016.62
DO  - 10.2991/icmea-16.2016.62
ID  - GAO2016/12
ER  -