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Combining STRIPAT model and gated recurrent unit for forecasting nature gas consumption of China

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成果类型:
期刊论文
作者:
Xiao, Yi*;Li, Keying;Hu, Yi;Xiao, Jin;Wang, Shouyang
通讯作者:
Xiao, Yi
作者机构:
[Li, Keying; Xiao, Yi] Cent China Normal Univ, Sch Informat Management, Wuhan 430079, Peoples R China.
[Hu, Yi] Univ Chinese Acad Sci, Sch Econ & Management, Beijing 100190, Peoples R China.
[Xiao, Jin] Sichuan Univ, Sch Business, Chengdu 610064, Peoples R China.
[Wang, Shouyang] Chinese Acad Sci, Acad Math & Syst Sci, Beijing 100190, Peoples R China.
通讯机构:
[Xiao, Yi] C
Cent China Normal Univ, Sch Informat Management, Wuhan 430079, Peoples R China.
语种:
英文
关键词:
Natural gas consumption forecasting;Emission reduction;Deep learning;STRIPAT model;Gated recurrent unit model;Bagging
期刊:
Mitigation and Adaptation Strategies for Global Change
ISSN:
1381-2386
年:
2020
卷:
25
期:
7
页码:
1325-1343
基金类别:
This research is supported by self-determined Research Funds of CCNU from the Colleges’ Basic Research and Operation of MOE under Grant No. CCNU19ZN024.
机构署名:
本校为第一且通讯机构
院系归属:
信息管理学院
摘要:
With the orderly advancement of China Energy Development Strategic Action Plan, clean energy has become a major trend in the energy market. As a major industry of clean energy, natural gas industry plans to consume at least 10% of the total primary energy by 2020. The energy structure will be improved in an orderly manner to achieve the goal of energy conservation, consumption reduction, and emission reduction. To achieve energy saving and emission reduction, and using clean energy effectively, accurate prediction of natural gas consumption is ...

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