Multi-scenario modeling for spatiotemporal distribution of battery-swapping heavy-duty truck load considering multi-source information interaction

Journal:
Energy
Published:
DOI:
10.1016/j.energy.2025.138467
Affiliations:
3
Authors:
4
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Institutions Authors Share
Shanghai University of Electric Power, China
2.000000
 0.50
Kunming Metallurgy College, China
1.000000
 0.25
North China Electric Power University (NCEPU), China
1.000000
 0.25
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