Forecasting long-term energy demand and reductions in GHG emissions-Reference-Cited by-同舟云学术

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Forecasting long-term energy demand and reductions in GHG emissions

Published:2024-03 Issue:3 Volume:17 Page:
ISSN:1570-646X
Container-title:Energy Efficiency
language:en
Short-container-title:Energy Efficiency

Author:

Golfam Parvin,Ashofteh Parisa-Sadat,Loáiciga Hugo A.

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s12053-024-10203-2.pdf

Reference66 articles.

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2. Ahmadi, M. H., Jashnani, H., Chau, K. -W., Kumar, R., & Rosen, M. A. (2019). Carbon dioxide emissions prediction of five Middle Eastern countries using artificial neural networks, Energy Resources, Part A: Recovery, Utilization, and Environmental Effects

3. Aizad, T., Shahid, M., Bhatti, A. A., Saleem, M., & Anandarajah, G. (2018). Energy security and renewable energy policy analysis of Pakistan. Renewable and Sustainable Energy Reviews, 84, 155–169.

4. Ameyaw, B., & Yao, L. (2018). Sectoral energy demand forecasting under an assumption-free data-driven technique. Sustainability, 10(7), 2348.

5. Amirnekooei, K., Ardehali, M. M., & Sadri, A. (2012). Integrated resource planning for Iran: Development of reference energy system, forecast, and long-term energy-environment plan. Energy, 46(1), 374–385. https://doi.org/10.1016/j.energy.2012.08.013

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1. ВКЛАД «ЗЕЛЕНОГО» УЧЁТА В ФИНАНСОВОМ МЕНЕДЖМЕНТЕ В УСТОЙЧИВОЕ РАЗВИТИЕ КОМПАНИЙ ЭНЕРГЕТИЧЕСКОЙ ОТРАСЛИ В УЗБЕКИСТАНЕ: МЕТОДОЛОГИЧЕСКИЙ АСПЕКТ;Ижтимоий-гуманитар фанларнинг долзарб муаммолари / Актуальные проблемы социально-гуманитарных наук / Actual Problems of Humanities and Social Sciences.;2024-07-06

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