Funder
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Subject
Geochemistry and Petrology,General Environmental Science,Water Science and Technology,Environmental Chemistry,General Medicine,Environmental Engineering
Reference65 articles.
1. Abas, N., Kalair, A., Khan, N., & Kalair, A. R. (2017). Review of GHG emissions in Pakistan compared to SAARC countries. Renewable and Sustainable Energy Reviews,80, 990–1016.
https://doi.org/10.1016/J.RSER.2017.04.022
.
2. Atsalakis, G. S. (2016). Using computational intelligence to forecast carbon prices. Applied Soft Computing Journal,43, 107–116.
https://doi.org/10.1016/j.asoc.2016.02.029
.
3. Ayvaz, B., & Kusakci, A. O. (2017). Electricity consumption forecasting for Turkey with nonhomogeneous discrete grey model. Energy Sources, Part B: Economics, Planning and Policy,12, 260–267.
4. Behrang, M. A., Assareh, E., Assari, M. R., & Ghanbarzadeh, A. (2011). Using bees algorithm and artificial neural network to forecast world carbon dioxide emission. Energy Sources, Part A: Recovery, Utilization, and Environmental Effects,33, 1747–1759.
https://doi.org/10.1080/15567036.2010.493920
.
5. British Petroleum. (2017). BP Statistical Review of World Energy 2017 (pp. 1–52). British Petroleum.
http://www.bp.com/content/dam/bp/en/corporate/pdf/energy-economics/statistical-review-2017/bp-statistical-review-of-world-energy-2017-full-report.pdf
. Accessed 03 April 2019.
Cited by
25 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献