Application of Legendre Polynomial in Annual Electricity Consumption

DOI

10.2991/icsd-16.2017.69How to use a DOI?

Keywords

GM (1,1); least squares; Legendre polynomial

Abstract

Based on statistical data of National Statistical Bureau of China, and giving the least-squares fitting of Legendre polynomial, the data of electricity consumption in per capita from 1983 to 2013 is analyzed by GM (1,1) method and Legendre polynomial least squares method respectively. The results showed that Legendre polynomial least squares fitting method is excellent, per capita energy consumption from 2014 to 2018 is predicted by this method.

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/).

Download article (PDF)

TY  - CONF
AU  - Hui-Jie Jiang
AU  - Hong-Qin Zhang
PY  - 2016/12
DA  - 2016/12
TI  - Application of Legendre Polynomial in Annual Electricity Consumption
BT  - Proceedings of the 2nd 2016 International Conference on Sustainable Development (ICSD 2016)
PB  - Atlantis Press
SP  - 313
EP  - 316
SN  - 2352-5401
UR  - https://doi.org/10.2991/icsd-16.2017.69
DO  - 10.2991/icsd-16.2017.69
ID  - Jiang2016/12
ER  -