Semiparametric modeling of the spatiotemporal trends in natural gas consumption: Methodology, results, and consequences-Reference-Cited by-同舟云学术

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Semiparametric modeling of the spatiotemporal trends in natural gas consumption: Methodology, results, and consequences

Published:2019-07-25 Issue:1 Volume:36 Page:184-194
ISSN:1524-1904
Container-title:Applied Stochastic Models in Business and Industry
language:en
Short-container-title:Appl Stochastic Models Bus Ind

Author:

Brabec Marek¹²^ORCID,Konár Ondřej¹²,Kasanický Ivan¹²³,Malý Marek¹²,Pelikán Emil¹

Affiliation:

1. Institute of Computer ScienceThe Czech Academy of Sciences Prague Czech Republic

2. Czech Institute of Informatics, Robotics, and CyberneticsCzech Technical University in Prague Prague Czech Republic

3. Faculty of Mathematics and Physics, Department of Probability and Mathematical StatisticsCharles University in Prague Prague Czech Republic

Publisher

Wiley

Subject

Management Science and Operations Research,General Business, Management and Accounting,Modelling and Simulation

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/asmb.2474

Reference21 articles.

1. Temporal and spatial trends of residential energy consumption and air pollutant emissions in China

2. Statistical yearbook of the Czech Republic.Czech Statistical Office;2014.

3. Forecasting natural gas consumption

4. Scenario analysis of nonresidential natural gas consumption in Italy

5. The trend in current and near future energy consumption from a statistical perspective

Cited by 2 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. Modeling Energy Demand—A Systematic Literature Review;Energies;2021-11-23

2. The synthetic effect of traditional-thermodynamic-factors (temperature, salinity, pressure) and fluid flow on natural gas hydrate recovery behaviors;Energy;2021-10

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