Application of Legendre Polynomial in Annual Electricity Consumption
Authors
Hui-Jie Jiang, Hong-Qin Zhang
Corresponding Author
Hui-Jie Jiang
Available Online December 2016.
- 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/).
Cite this article
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 -