Influencing Factors Analysis and Trend Forecasting of China's Total Energy Consumption

DOI

10.2991/iccte-16.2016.136How to use a DOI?

Keywords

Energy Consumption, GM(1,1) Model, Gray Incidence Analysis.

Abstract

In order to answer following two questions, One is the influence factors and the influence degree of China's total energy consumption Another is in the future five years China's total energy consumption trend prediction. This paper begins with a qualitative analysis of factors affecting China's total energy consumption, resulting in the classification of these factors according to their importance and significance by using the Grey Correlation Analysis method; Based on the fact China's total energy consumption system is gray, this paper established the Grey forecasting model GM (1, 1), 2015 ~ 2019 China's total energy consumption was forecast. This paper studies showed that China's total energy consumption is sub-health; As long as continue to strengthen the work of the use of natural gas, nuclear energy and renewable energy, in the next five years, Health controllable of China's total energy consumption will remain stable.

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  - Geng Wang
PY  - 2016/01
DA  - 2016/01
TI  - Influencing Factors Analysis and Trend Forecasting of China's Total Energy Consumption
BT  - Proceedings of the 2016 International Conference on Civil, Transportation and Environment
PB  - Atlantis Press
SP  - 793
EP  - 797
SN  - 2352-5401
UR  - https://doi.org/10.2991/iccte-16.2016.136
DO  - 10.2991/iccte-16.2016.136
ID  - Wang2016/01
ER  -