Predicting Total Energy Consumption with Least Square Method of Legendre Polynomial

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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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  -