Determining China's CO2 emissions peak with a dynamic nonlinear artificial neural network approach and scenario analysis

Citations

Cited by:

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11. Murat Peksen, 2021. "Hydrogen Technology towards the Solution of Environment-Friendly New Energy Vehicles," Energies, MDPI, vol. 14(16), pages 1-6, August.
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13. Doh Dinga, Christian & Wen, Zongguo, 2022. "Many-objective optimization of energy conservation and emission reduction under uncertainty: A case study in China's cement industry," Energy, Elsevier, vol. 253(C).
14. Pengcheng Xue & Jiaxin Liu & Binbin Liu & Chuang Zhu, 2023. "Impact of Urbanisation on the Spatial and Temporal Evolution of Carbon Emissions and the Potential for Emission Reduction in a Dual-Carbon Reduction Context," Sustainability, MDPI, vol. 15(6), pages 1-14, March.
15. Zhang, Junjie & Yan, Zengfeng & Bi, Wenbei & Ni, Pingan & Lei, Fuming & Yao, Shanshan & Lang, Jiachen, 2023. "Prediction and scenario simulation of the carbon emissions of public buildings in the operation stage based on an energy audit in Xi'an, China," Energy Policy, Elsevier, vol. 173(C).
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