Journal ArticleDOI
Forecasting China's natural gas demand based on optimised nonlinear grey models
Faheemullah Shaikh,Faheemullah Shaikh,Qiang Ji,Pervez Hameed Shaikh,Nayyar Hussain Mirjat,Muhammad Aslam Uqaili +5 more
TLDR
In this article, the authors constructed China's natural gas consumption forecasting model by utilising two optimised nonlinear grey models: the Grey Verhulst Model and the Nonlinear Grey Bernoulli Model.About:
This article is published in Energy.The article was published on 2017-12-01. It has received 126 citations till now. The article focuses on the topics: Liquefied natural gas & Natural gas.read more
Citations
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Global renewable energy development: Influencing factors, trend predictions and countermeasures
TL;DR: In this article, the authors divide the world into seven regions based on the Engineering News-Record (ENR) regional classification and analyse the status of renewable energy from political, technical, economic and social perspectives.
Journal ArticleDOI
Using a novel multi-variable grey model to forecast the electricity consumption of Shandong Province in China
TL;DR: A novel multi-variable grey forecasting model which considered the total population is developed to forecast the electricity consumption in Shandong Province and demonstrates that the model provides remarkable prediction performances compared with the traditionalgrey forecasting model.
Journal ArticleDOI
Conventional models and artificial intelligence-based models for energy consumption forecasting: A review
TL;DR: The review results show that conventional models are preferred for the yearly energy consumption forecasting in national level and nonlinear regression models can not only explicitly describe the relationship between consumption data and influencing factors but also obtain the lowest average MAPE for long-termEnergy consumption forecasting.
Journal ArticleDOI
Safety and security of oil and gas pipeline transportation : A systematic analysis of research trends and future needs using WoS
Chao Chen,Chao Chen,Changjun Li,Genserik Reniers,Genserik Reniers,Genserik Reniers,Fuqiang Yang,Fuqiang Yang +7 more
TL;DR: In this paper, a systematic and thorough review is carried out to investigate safety and security of oil and gas pipelines based on bibliometric analysis, and the evolution of research topics and research methods are identified based on keywords and bibliographic analysis.
Journal ArticleDOI
Can expanding natural gas consumption reduce China's CO2 emissions?
Bin Xu,Boqiang Lin +1 more
TL;DR: Zhang et al. as mentioned in this paper used the nonparametric additive regression model with data-driven features to investigate the relationship between natural gas consumption and CO2 emissions, and found that natural gas usage has an inverted U-shaped nonlinear effect on CO2 emission in the eastern region, but a positive U-shape non-linear effect in the central and western regions.
References
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Comparing Predictive Accuracy
TL;DR: The authors describes the advantages of these studies and suggests how they can be improved and also provides aids in judging the validity of inferences they draw, such as multiple treatment and comparison groups and multiple pre- or post-intervention observations.
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Comparing Predictive Accuracy
TL;DR: In this article, explicit tests of the null hypothesis of no difference in the accuracy of two competing forecasts are proposed and evaluated, and asymptotic and exact finite-sample tests are proposed, evaluated and illustrated.
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Introduction to Grey system theory
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