Li, S.; Chen, J.; Dai, W.; Li, F.; Gong, Y.; Gong, H.; Zhu, Z.
Multi-Province Collaborative Carbon Emission Forecasting and Scenario Analysis Based on the Spatio-Temporal Attention Mechanism—Empowering the Green and Low-Carbon Transition of the Transportation Sector Through Technological Innovation. Sustainability 2025, 17, 8711.
https://doi.org/10.3390/su17198711
AMA Style
Li S, Chen J, Dai W, Li F, Gong Y, Gong H, Zhu Z.
Multi-Province Collaborative Carbon Emission Forecasting and Scenario Analysis Based on the Spatio-Temporal Attention Mechanism—Empowering the Green and Low-Carbon Transition of the Transportation Sector Through Technological Innovation. Sustainability. 2025; 17(19):8711.
https://doi.org/10.3390/su17198711
Chicago/Turabian Style
Li, Shukai, Jifeng Chen, Wei Dai, Fangyuan Li, Yuting Gong, Hongmei Gong, and Ziyi Zhu.
2025. "Multi-Province Collaborative Carbon Emission Forecasting and Scenario Analysis Based on the Spatio-Temporal Attention Mechanism—Empowering the Green and Low-Carbon Transition of the Transportation Sector Through Technological Innovation" Sustainability 17, no. 19: 8711.
https://doi.org/10.3390/su17198711
APA Style
Li, S., Chen, J., Dai, W., Li, F., Gong, Y., Gong, H., & Zhu, Z.
(2025). Multi-Province Collaborative Carbon Emission Forecasting and Scenario Analysis Based on the Spatio-Temporal Attention Mechanism—Empowering the Green and Low-Carbon Transition of the Transportation Sector Through Technological Innovation. Sustainability, 17(19), 8711.
https://doi.org/10.3390/su17198711
