scholarly journals Application of statistical learning theory for thermodynamic modeling of natural gas hydrates

Petroleum ◽  
2021 ◽  
Author(s):  
Anupama Kumari ◽  
Mukund Madhaw ◽  
C.B. Majumder ◽  
Amit Arora ◽  
Gaurav Dixit
Keyword(s):  
Natural Gas ◽  
Statistical Learning ◽  
Learning Theory ◽  
Thermodynamic Modeling ◽  
Gas Hydrates ◽  
Statistical Learning Theory ◽  
Natural Gas Hydrates

Survey on Natural Gas Load Forecasting Technology

2012 ◽  
Vol 485 ◽  
pp. 249-252
Author(s):  
Wei Ya Shi
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Natural Gas ◽  
Statistical Learning ◽  
Learning Theory ◽  
Statistical Learning Theory ◽  
Load Forecasting ◽  
Future Research ◽  
Forecasting Methods ◽  
Forecasting Method

In this paper, we give a short survey on natural gas load forecasting technology. Because the variation of gas load is influenced by weather and people activity, the traditional forecasting results and the precision is low. The forecasting methods based on statistical learning theory and artificial neural network are discussed in detail. We also give some future research on the forecasting method of gas load.

Natural gas hydrates: myths, facts and issues

2004 ◽  
Vol 336 (9) ◽  
pp. 751-765 ◽  
Author(s):  
Benoı̂t Beauchamp
Keyword(s):  
Natural Gas ◽  
Gas Hydrates ◽  
Natural Gas Hydrates
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