Natural gas demand prediction: Methods, time horizons, geographical scopes, sustainability issues, and scenarios
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Elsevier
Reference94 articles.
1. Developing a data mining based model to extract predictor factors in energy systems: application of global natural gas demand;Hafezi;Energies,2019
2. Long-term policy evaluation: application of a new robust decision framework for Iran's energy exports security;Alipour;Energy,2018
3. A layered uncertainties scenario synthesizing (LUSS) model applied to evaluate multiple potential long-run outcomes for Iran's natural gas exports;Hafezi;Energy,2019
4. Projecting plausible futures for Iranian oil and gas industries: analyzing of historical strategies;Hafezi;J. Nat. Gas Sci. Eng.,2017
5. BP Statistical Review of World Energy 2020,2020
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