We are very pleased to announce that, an article entitled “Global natural gas demand to 2025: A learning scenario development model” has been published by Dr. Reza Hafezi, NRISP faculty member, in ENEGY (2019 IF: 6.082, CiteScore: 9.9, Q1).
In this paper, a novel Learning Scenario Development Model (LSDM) has been proposed and applied for the case of an energy-related complex problem, natural gas demand forecasting.
LSDM provided reliable BAU forecasting and projected future trends under various policies which initialized scenarios.
Following you can find highlights of this research:
• A reliable long-run energy demand forecasting model is proposed.
• A novel quantitative-qualitative learning scenario method has been presented.
• A set of environmental input features were investigated to address sustainability concerns.
• Findings revealed that in the mid-term future natural gas consumption will remain interesting.
• Evaluations showed that the global market is inclined towards more consumption scenarios.
This paper is accessible via:
https://www.sciencedirect.com/science/article/abs/pii/S0360544221004163
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