Natural gas demand prediction: Methods, time horizons, geographical scopes, sustainability issues, and scenarios

2022 ◽  
pp. 29-53
Author(s):  
Reza Hafezi ◽  
Mohammad Alipour ◽  
David A. Wood ◽  
Naser Bagheri Moghaddam
Keyword(s):  
Natural Gas ◽  
Prediction Methods ◽  
Demand Prediction ◽  
Time Horizons ◽  
Natural Gas Demand

Study on Natural Gas Demand Prediction Model in China

2013 ◽  
Vol 869-870 ◽  
pp. 533-536
Author(s):  
Xue Feng ◽  
Jin Suo Zhang ◽  
Shao Hui Zou ◽  
Wuyunbilige Bao
Keyword(s):  
Neural Network ◽  
Natural Gas ◽  
Prediction Model ◽  
Neural Network Model ◽  
Rbf Neural Network ◽  
Arima Model ◽  
Combined Model ◽  
Demand Prediction ◽  
Natural Gas Demand ◽  
Accuracy And Stability

Based on the characteristics of natural gas demand trend, this paper proposed ARIMA model which can predict China's natural gas demand as an effective tool. Compared with the RBF neural network model and combined model, empirical results show that the accuracy and stability of the ARIMA model is best.

Residential natural gas demand: Assessing the evidence from Greece using pseudo-panels, 2012–2019

2021 ◽  
Vol 99 ◽  
pp. 105301
Author(s):  
Ioannis Kostakis ◽  
Sarantis Lolos ◽  
Eleni Sardianou
Keyword(s):  
Natural Gas ◽  
Pseudo Panels ◽  
Natural Gas Demand

scholarly journals Examining the potential of natural gas demand-side measures to benefit customers, the distribution utility, and the environment: two case studies from Europe

Energy ◽  
2004 ◽  
Vol 29 (7) ◽  
pp. 979-1000 ◽  
Author(s):  
A DEALMEIDA ◽  
A LOPES ◽  
A CARVALHO ◽  
J MARIANO ◽  
A JAHN ◽  
...  
Keyword(s):  
Natural Gas ◽  
Case Studies ◽  
Demand Side ◽  
Natural Gas Demand

scholarly journals Analysis of Medium- to Long-Term Natural Gas Demand and Supply

2017 ◽  
pp. 113-132
Author(s):  
Mallika Ishwaran ◽  
◽  
William King ◽  
Martin Haigh ◽  
Taoliang Lee ◽  
...  
Keyword(s):  
Natural Gas ◽  
Demand And Supply ◽  
Natural Gas Demand

Common Demand Prediction Methods

2022 ◽  
pp. 29-67
Author(s):  
Maxime C. Cohen ◽  
Paul-Emile Gras ◽  
Arthur Pentecoste ◽  
Renyu Zhang
Keyword(s):  
Prediction Methods ◽  
Demand Prediction
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