Application of Chebyshev Polynomial in Annual Electricity Consumption
Authors
Lai-Bin Gao, Bo Wang
Corresponding Author
Lai-Bin Gao
Available Online December 2016.
- DOI
- 10.2991/icsd-16.2017.65How to use a DOI?
- Keywords
- GM (1,1); least squares; Chebyshev polynomial
- Abstract
Based on statistical data of National Statistical Bureau of China, and giving the least-squares fitting of Chebyshev polynomial, the data of electricity consumption in per capita from 1983 to 2013 is analyzed by GM (1,1) method and Chebyshev polynomial least squares method respectively. The results showed that Chebyshev 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 - Lai-Bin Gao AU - Bo Wang PY - 2016/12 DA - 2016/12 TI - Application of Chebyshev Polynomial in Annual Electricity Consumption BT - Proceedings of the 2nd 2016 International Conference on Sustainable Development (ICSD 2016) PB - Atlantis Press SP - 294 EP - 297 SN - 2352-5401 UR - https://doi.org/10.2991/icsd-16.2017.65 DO - 10.2991/icsd-16.2017.65 ID - Gao2016/12 ER -