Deep hybrid models for daily natural gas consumption forecasting and complexity measuring-Reference-Cited by-同舟云学术

Deep hybrid models for daily natural gas consumption forecasting and complexity measuring

Published:2022-12 Issue:2 Volume:11 Page:654-674
ISSN:2050-0505
Container-title:Energy Science & Engineering
language:en
Short-container-title:Energy Science & Engineering

Author:

Bai Shengxi¹^ORCID,Huang Xiaomei¹^ORCID,Luo Min²,Su Junfu³

Affiliation:

1. School of Civil Engineering Chongqing University Chongqing China

2. Chengdu China Resources Gas Design Co., Ltd. Chengdu China

3. Department of Mathematics Beloit College Beloit USA

Publisher

Wiley

Subject

General Energy,Safety, Risk, Reliability and Quality

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/ese3.1352

Reference41 articles.

1. Statistical review of world energy globally consistent data on world energy markets. and authoritative publications in the field of energy;BP Energy;BP Energy Outlook 2021,2021

2. NalleyS NalleyS LaroseA. International Energy Outlook (IEO2021) US EIA; 2021:21.

3. National Energy Administration.China Natural Gas Development Report (2021);2021.

4. Forecasting the daily natural gas consumption with an accurate white-box model

5. Forecasting natural gas consumption using Bagging and modified regularization techniques

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Application of forecasting strategies and techniques to natural gas consumption: A comprehensive review and comparative study;Engineering Applications of Artificial Intelligence;2024-03

2. Improved multi-gate mixture-of-experts framework for multi-step prediction of gas load;Energy;2023-11

3. Forecast of natural gas consumption in 30 regions of China under dual carbon target;Environmental Science and Pollution Research;2023-07-17