Gas Prediction of Sino-Singapore Tianjin Eco-City Based on ARMA Model

DOI

10.2991/icaees-15.2015.261How to use a DOI?

Keywords

time series analysis, ARMA, data aggregation platform, city pulsating

Abstract

With the development of Chinese economic growth, energy consumption is growing. Among them, the gas is an important energy source of urban living, and its consumption has increased year by year. In this paper, based on the data aggregation platform, and residents daily natural gas consumption data in SSTEC(Sino-Singapore Tianjin Eco-City)[1], considering the time series correlation of data, a time series prediction model ARMA was used to predict the daily consumption of gas in SSTEC.

Copyright

© 2015, 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  - Yizhi Xu
AU  - Peng Ling
AU  - Xiang Li
AU  - Gaosheng Li
AU  - Shaolong Cui
PY  - 2015/07
DA  - 2015/07
TI  - Gas Prediction of Sino-Singapore Tianjin Eco-City Based on ARMA Model
BT  - Proceedings of the 3rd International Conference on Advances in Energy and Environmental Science 2015
PB  - Atlantis Press
SP  - 1405
EP  - 1409
SN  - 2352-5401
UR  - https://doi.org/10.2991/icaees-15.2015.261
DO  - 10.2991/icaees-15.2015.261
ID  - Xu2015/07
ER  -